Tools

Vibe Coding For Non Coders - I built an online game in 30 seconds using AI

🚀 No coding skills? No problem! In this video, I show you how I built a working online game in just 30 seconds using AI-powered coding tools – perfect for beginners, creators, or anyone curious about AI development. 🔥 Try CodeLLM Teams FREE for 1 Month! 🎁👉 https://chatllm.abacus.ai/jTYLJgzFxy 👨‍💻 About CodeLLM Teams CodeLLM Teams is an advanced AI assistant that helps you write, optimize, and debug code across 10+ programming languages including Python, JavaScript, C++, PHP, and more. It works seamlessly with GitHub and all leading LLMs like Claude Sonnet 3.7, O3 Mini High, Quen, and others. 💻 Whether you're a solo developer or working in a team, CodeLLM makes your workflow faster and more efficient — even if you’ve never written a line of code before! #NoCode #AItools #GameDev #CodeLLM #AbacusAI #VibeCoding #LearnToCode #AIToolsForBeginners #CodingWithoutCode #BuildAGame #LLM #ChatGPT #Claude #GeminiAI #CodingTutorial #NonCoders #aifordevelopers ✨Contact AI Border: composition365@gmail.com✨ The videos use materials in a transformative and educational manner, following fair use guidelines and without any intention of copyright infringement. If you are the copyright owner or representative and have any concerns regarding the material used, please contact me at composition365@gmail.com, and we can address the issue. ✨Here are some more videos to watch 👍 ▶Top Free AI Video Generators: Image-to-Video and Text-to-Video Tools for 2025 https://youtu.be/VNDT2yA6zc0 ▶ Who Is the King of AI Video in 2025? Heygen vs Vozo AI vs Akool (Full Test) https://youtu.be/43up6iNj1wo ▶ GlobalGPT: The Ultimate All-in-One AI Tool for Writing, Proofreading, and Image Generation https://youtu.be/iPcFVC6Xz_8 ▶Uncensored AI Tool: Open Source Mimic PC Revolutionizes Content Creation https://youtu.be/4dvqDXQ09TY ▶AI Text-to-3D Animation: Effortlessly Create 3D Animated Videos from Text Prompts https://youtu.be/wzOCO8NYiLM ▶ Create Stunning Game & Film Concept Art with Shakker AI: AI Art Generation Tutorial https://youtu.be/OFv2CjWfq9U ▶ Create Viral Videos Using the Top AI Image and Video Generator https://youtu.be/1T3PxLdm2VY ▶ This video could help who are looking for: ai game builder,ai coding assistant,no code game development,code with ai,ai coding tutorial,build games with ai,image to game ai,html game with ai,free ai coding tools,how to build games with ai,ai game generator,learn coding with ai,ai tools for beginners,ai game development,ai for non coders,ai project tutorial,abacus ai,codeLLM tutorial,ai programming tools,ai powered coding,ai programming assistant,ai dev tools,build apps with ai,no code ai tools,code generator ai,ai video tutorial, #CodeWithAI #NoCodeTools #AIGameBuilder #AICodingAssistant #CodeLLM #AbacusAI #AIforBeginners #AIProjects #AIDevTools #LearnCodingWithAI #AITools2025 #AICodingTutorial #BuildWithAI #NoCodeDevelopment #AIProgramming #AIpowered #VibeCoding #CodingWithoutCode #CreateWithAI #HTMLGameWithAI #AIWorkflow #AIForEveryone #NonCodersWelcome #ShortVideoMaker #TextToCode #AIGeneratedCode #AIHack #AIForDevelopers #CreativeTools #ArtificialIntelligence #chatgpt #ClaudeAI

Best AI Tools for Accountants

We’re pretty sure, these great AI tools will help you in the long run. Let’s have a look at their importance: VIC.AI: AI-powered Accounting Made Effortless! Their advanced algorithms are trained on vast invoice data, eliminating the need for templates or memorization. Accurate from day one, their Autopilot technology seamlessly integrates AI for streamlined invoicing.😇 Indy: AI-Powered Accounting Made Fast and Affordable! Freelancers, businesses, and entrepreneurs can tackle accounting tasks up to 20x faster than traditional software. Create income statements and financial statements in a fraction of the time, all at a lower cost than traditional accountants.🤔 Docyt: AI-Powered Accounting Automation for Faster Decision Making. Digitize financial data, automate workflows, and make faster decisions. Reduce costs and simplify bookkeeping and back-office tasks.😲 Blue Dot is an innovative market leader with a cutting-edge financial platform. Their all-in-one Tax Compliance Platform combines digitization, tax compliance, and automation to analyze employee spend data for VAT, Taxable Employee Benefits, and Corporate Income Tax.🥹 Comment below the names of the AI tools that you use for accounting.👇👇 #aitoolsforaccountants #aitools #ai #technology #upskill #cpa #uscpa #CPAexam #cpajobs #CPAscope #MilesEducation #workintheus #talent #fyp #explore #accounting #accountants #accountancy #cpacoursereview #jobopportunities #CPAplacement #CPAsalary #success #career

Understand network requests with AI assistance #DevToolsAI

AI assistance in Chrome DevTools can help you understand network requests - no matter how complicated they might look. Learn how you can get started! Subscribe to Chrome for Developers → https://goo.gle/ChromeDevs #AI #Gemini #CSS #ChromeDevTools #ChromeForDevelopers #Chrome Products Mentioned: Chrome DevTools, Gemini

10 Must-Try AI Tools For Your Business (2025)

Unlock the power of AI with these 10 must-try tools that can transform your business in 2024! 👉 https://bit.ly/4ffsvUV 💥 Use the discount code WB10 for 10% OFF! Whether you're looking to boost productivity, automate tasks, or improve decision-making, this video covers the top AI tools that will give your business a competitive edge. Watch to find out how each tool works and which one suits your business needs the best! 📌 Handy Links 10 Powerful Prompts to Elevate Your ChatGPT Experience https://www.youtube.com/watch?v=W7aPrXlVRO8 BEST AI Content Generation Tools for Content Creators (2024) https://www.youtube.com/watch?v=bUB5JEJEvI8&t=347s Join the Hostinger Referral Program: https://www.hostinger.com/referral-program Join the Hostinger Affiliate Program: https://www.hostinger.com/affiliates Join our team at Hostinger: https://www.hostinger.com/career ⭐Follow Us⭐ TikTok: https://www.tiktok.com/@hostingeracademy Instagram: https://www.instagram.com/hostingeracademy/ Twitter: https://twitter.com/Hostinger Facebook: https://www.facebook.com/Hostinger/ Reddit: https://www.reddit.com/r/Hostinger Hostinger Tutorials: https://www.hostinger.com/tutorials Subscribe to our channel: https://www.youtube.com/c/HostingerAcademy/?sub_confirmation=1 🕒 Timestamps 00:00 - Introduction 00:50 - Presentations.ai 01:51 - CoralAI 02:37 - Hostinger Website Builder 04:28 - Zapier 05:22 - Do not pay (AI lawyer) 06:08 - Adobe Firefly 07:05 - Twain 07:46 - ChatGPT 09:05 - ocean.io 09:58 - Autopod _ 🚀10 Must-Try AI Tools For Your Business (2024) Discover the top AI tools that can transform the way you work, boost productivity, and streamline your business operations! 📌 Why These Tools Matter These tools can help you: 👉 Automate time-consuming tasks 👉 Enhance your creative output 👉 Streamline communication and operations 👉 Improve business decision-making 📌 Featured AI Tools Here’s a quick look at the must-try AI tools for 2024: 👉 Gamma – Create stunning presentations with ease. 👉 ChatPDF – Ask questions and get insights from PDFs. 👉 Hostinger Website Builder – Build websites with AI-powered ease. 👉 Zapier – Automate your workflows seamlessly. 👉 Do Not Pay (AI Lawyer) – Get legal advice with AI support. 👉 Adobe Firefly – Create incredible visuals using generative AI. 👉 Twain – AI-driven insights for business decisions. 👉 ChatGPT – Revolutionize how you interact with AI chat. 👉 Ocean.io – Discover leads and grow your business. 👉 Autopod – Automate your podcast editing effortlessly. Watch the full video to dive deeper into how these AI tools can elevate your business in 2024! _ ▶ Want to see more awesome tutorials like this in the future? Consider subscribing 😁 https://www.youtube.com/c/HostingerAcademy/?sub_confirmation=1 Thank you for watching! Let us know in the comments below if you have any questions. Good luck on your online journey. 🚀 #AItoolsforbusiness #AIwebsiteBuilder #HostingerAcademy

How to use AI features in Excel | Save 4 Hours Daily by using AI Tools #excel #ai #exceltips

In this video, you will learn how to use AI feature in Excel. #excel #ai #aitools #aiinexcel #exceltips #exceltricks #exceltutorial #excelshortcuts #computertips #advancedexcel #msexcel #excelformulas

10 Amazing AI Tools For Your Business You Won't Believe Exist!

10 Amazing AI Tools For Your Business In 2024. FREE Shopify Trial ► https://utm.io/uggJb ► TikTok Marketing Tutorial https://youtu.be/SeWNUUEtZOY ► Prompt Engineering Tutorial Part 1: A Beginner's Guide to AI Prompting https://youtu.be/zBaa8Ct2C-k ► Prompt Engineering Tutorial Part 2: Text-to-Text: https://youtu.be/ZlQHPt86h6s ► Prompt Engineering Tutorial Part 3: https://youtu.be/6RAStep_3OI ► Prompt Engineering Tutorial Part 4: https://youtu.be/QgjL0fNTwHc –––––––––––––––––––––––––––––––––––––––––––– If you’re a content creator, business owner, or just a regular person trying make work or life easier, you’re gonna love these AI tools. And if you want to find out how AI copied my voice exactly at the beginning of this video then wait for tool number 7 to find out. –––––––––––––––––––––––––––––––––––––––––––– -- TOOLS & RESOURCES – ► The Complete DROPSHIPPING FOR BEGINNERS GUIDE (How-To Tutorial, Trending Products & More!) https://utm.io/ugf9v ► 10 Best Ways To Make Money On Shopify in 2024 (Not just dropshipping!) https://utm.io/ugf9w ► The Complete ChatGPT for Business Guide 🤖 https://utm.io/ugf9x ► 10 ChatGPT Plugins https://utm.io/ugf9y ► Sign Up To Shopify Today https://utm.io/ugfyG ► Pinterest Ads Tutorial for BEGINNERS (Quick & Easy Step-by-Step Guide) https://utm.io/ugf9z ► AI For Business Playlist https://utm.io/ugf9A ► How to build a Shopify Store https://utm.io/ugf9B –––––––––––––––––––––––––––––––––––––––––––– #shopifytutorialforbeginners #shopify #aitools #ai

Generative AI Applications and Popular Tools

Welcome to the 'Generative AI Applications and Popular Tools' course, learning resource for mastering the intricacies of chatbot technology, including RASA, GPT-3, and OpenCV, along with an in-depth exploration of popular Generative AI tools like MidJourney, GitHub Copilot, DALL·E 2, and more.

Are no-code tools actually slowing down startups?

I've noticed a concerning trend: while no-code tools promise quick launches for startups, many founders end up rebuilding their entire product from scratch later. Meanwhile, established platforms for startups like Zapier are doubling their prices, pushing teams to reconsider their stack entirely. What I'm seeing in the market: Bubble/FlutterFlow promise "build Uber in weeks" Make. com offers Zapier various automation features, but they are expensive, which made me look for alternatives. AI tools like Cursor + Claude claim to replace coding skills Traditional coding still takes 6+ months to learn basics Successful startups often rebuild their no-code MVPs Here's what makes me wonder: are we choosing speed over sustainability? Edit: I'm so happy that my post sparked so many beautiful minds. I'm going to process all the insights you've shared and publish on my subreddit, because one just can't lose it on the Internet

Will AI Tools Make No-Code Platforms Obsolete?

I’ve noticed more non-technical people are building impressive solutions with AI-driven tools like Cursor and Claude. It got me thinking: will no-code platforms like Bubble and Webflow still be relevant in the future? If AI is making it so easy for people to create solutions without knowing how to code. Long-term will there still be a use case for no-code platforms, or will they evolve to behave like Cursor? Curious to hear what you think

Best AI tools for non-technical founder to demonstrate the vision (I will not promote)

Hey all, I have an MVP nearly ready but when I speak to potential co-founders, customers and investors, I want to be able to show the vision of what it will look like and do in the future. Wondering if people have an opinion on the best tool(s) out there to sell this sort of vision? The output doesn't need to be usable, but I need the people who look at it to understand what the product will be in the future. It could be a bunch of nicely designed screens (something like Uizard or Visily seems to do this) or even a video explaining what it will do (don't think any of the video tools are at this level yet) or it may be piecing together a few tools. Keen to hear what others have done in this case!

What Are The AI Tools You Used For Your Startup Business?

I'm starting a new ecommerce brand with Shopify, but I don't have much budget, which is why I decided to go for SEO marketing and Facebook Ads for early stage promotion business. I'm limited to resources, and can't afford too much for copywriters or content creators, I learnt from a few more experienced sellers, and they recommend me to use AI for copywriting and AI Video Ads Creation, Any tools you will recommend? Your help is highly appreciated!

Anyone building QA automation tools for non-tech users? PM here looking for recommendations!

Is there anyone here building in the QA space? As a PM in a startup, I find myself wearing many hats, including QA! While I’ve tested a few automation tools, many of them tend to be too complex for non-tech users like me or require significant time to build and maintain test cases. I’d love to connect with others working on solutions that simplify QA testing from a non-technical perspective. I see a huge opportunity for AI in this space to make testing more intuitive and efficient. If you’re working on something or have recommendations, please send them!

Are no-code tools actually slowing down startups?

I've noticed a concerning trend: while no-code tools promise quick launches for startups, many founders end up rebuilding their entire product from scratch later. Meanwhile, established platforms for startups like Zapier are doubling their prices, pushing teams to reconsider their stack entirely. What I'm seeing in the market: Bubble/FlutterFlow promise "build Uber in weeks" Make. com offers Zapier various automation features, but they are expensive, which made me look for alternatives. AI tools like Cursor + Claude claim to replace coding skills Traditional coding still takes 6+ months to learn basics Successful startups often rebuild their no-code MVPs Here's what makes me wonder: are we choosing speed over sustainability? Edit: I'm so happy that my post sparked so many beautiful minds. I'm going to process all the insights you've shared and publish on my subreddit, because one just can't lose it on the Internet

Seeking Advice on Online Lead Generation and Tools for a New Service-Based Brokerage

I recently launched an online, B2B, service-based brokerage that's heavily reliant on web-based marketing for lead generation. As a bootstrapped business owner, I'm feeling a bit overwhelmed trying to determine the most effective strategies for driving online leads—whether through Google Ads, SEO, or other methods. In addition, I'm looking for the best software and tools to help organize and manage leads, or even assist in the lead generation process. I've been exploring AI-powered tools like AI Call Agents and others, but I’m unsure of what would be most effective for a growing business like mine. If anyone has experience with tools or strategies that have worked well early in your business journey, I’d love to hear your insights!

Exploring AI Tools for Enhancing Push Notification Campaigns

Hey everyone, I've been diving into ways to improve push notification strategies and came across some AI-driven features that seem promising: AI Text Generation: This tool assists in crafting notification copy, potentially reducing the time spent on content creation. AI-Based Multilingual Support: It offers the capability to send campaigns in various languages, which could be beneficial for reaching a global audience. Has anyone here experimented with AI tools for push notifications or similar marketing efforts? I'd love to hear about your experiences and any recommendations you might have. Looking forward to your insights!

Share Your Expertise: AI, Automation, and Efficient Organizational Tools, Strategies and Routines!

Hello everyone, As we navigate through the advancements in AI and automation, it's clear that these technologies are reshaping the way we approach work and business management. To stay ahead, sharing our collective knowledge on these subjects is crucial. I'm inviting this community to share insights and experiences with AI tools, automation strategies, and especially, innovative organizational approaches you've found effective. From automating mundane tasks to optimizing digital marketing strategies, every piece of wisdom is valuable. Here’s what we’re specifically interested in: Automated Workflows: What are your strategies for creating automated workflows that enhance productivity and efficiency? Visual Organization: How do you utilize mind maps and other visual tools to organize thoughts and projects efficiently? Canvas Maps: Have you implemented CANVAS Maps in customer interaction, ideation, strategy development, or action planning? How has it improved your processes? AI in Marketing: How has AI helped you optimize your digital marketing strategies and data analysis? What tools or methodologies have you found most effective? This thread aims to be a resource for all of us to learn from each other's successes and innovations. Whether it’s a simple tip or a comprehensive strategy, your input can significantly impact someone’s approach to challenges. What groundbreaking AI solutions, automation hacks, or organizational methods have you discovered that made a noticeable difference in your work or business? Share your stories and let’s empower each other to achieve greater efficiency and success. Thank you for contributing to our shared journey toward innovation and improvement!

My clients are obsessed with AI and it's driving me nuts – are there any actually useful AI tools for service businesses?

I have a roster of a few home service companies (plumbers, roofers, landscapers, etc.) that I do freelance marketing for. Lately, the owners I work with have developed a serious case of AI shiny object syndrome. They’re bombarding me with links to scammy IG ads for “game-changing” AI tools they think will save their businesses overnight. Even talking about replacing their CSRs with "virtual agents". This will obviously lead to some terrible customer experiences, but all they can see is dollar signs at the prospect of laying off that part of their labor force. If I keep pushing back and pointing out how short sighted some of these ideas are, they’ll eventually find someone else that will implement them. So, I’m trying to get out in front of this a little bit and find any AI tools that don’t suck—something I can pitch back to them that’s actually useful and not just a fancy new way to ruin their customer experience. Then when they brag to their other buddies in the trades about how "cutting edge" their business is, it will be in part because of me, not in spite of me. Any suggestions for AI tools that: Help small service businesses without completely alienating their customers? Automate repetitive tasks in a way that doesn’t scream “this was done by a robot”? Aren’t just some scammy overpriced subscription service with a flashy demo? If you’ve actually used something that works, I’d love to hear about it. Honestly, the bar is low. Just help me stop these guys from accidentally burning their businesses down with bad AI ideas.

What is your biggest challenge when finding and implementing AI tools for your business?

I've been looking into AI tools lately to help streamline my business, but the whole process can feel like a huge challenge. With so many options out there, it’s hard to figure out which ones are worth the time (and money) to implement. Even when I find something promising, there’s always the question of how it will integrate with my current systems or whether it will actually make things easier rather than more complicated. I’m curious to hear from others who are going through the same thing. What’s been the hardest part for you when finding or setting up AI tools? Is it choosing the right one? The cost? Figuring out how to implement it without a ton of headaches? Let’s share some of our challenges—maybe we can learn from each other’s experiences and make the process a little smoother!

Entrepreneurs using AI tools such as chatgpt for Strategic thinking in small business

Hey Reddit, I’m working on a project and am curious everyone’s thoughts about how Entrepreneurs are using AI tools such as chatgpt for strategic thinking such as Forecasting, Risk management and Mergers in small business and what issues they are facing. I will be asking these questions on various topics pertaining to a small business. Hope everyone can benefit from this!!!

I’ve Tested All the Image Generation Tools for My Small Business

Personally I hate paying for subscriptions unless it was absolutely necessary. Given that I don't have the budget to hire a graphic designer I started playing with all the new Generative AI tools and these are the ones I've narrowed it down to that have made the most impact. I posted this breakdown on r/AIforBusinessFounders but will share it here as well. Hope this compilation helps a fellow entrepreneur. If you’ve been exploring AI tools for generating images, you’ve probably come across big names like DALL·E, Adobe Photoshop, and MidJourney (finally moved off the dreadful Discord prompting thankfully!)  While they each have their strengths, they also have their quirks. Here’s the breakdown: DALL·E by OpenAI Pros: It’s integrated directly into ChatGPT, so if you’re already on a paid plan, you’re good to go—no extra fees. It's also embedded in Canva which is convenient if you’re designing social media posts or quick mockups. Cons: The image quality isn’t amazing. It often looks a bit flat or off, but I think where I struggle is you only get one output per generation, so there’s not much variety. Adobe Photoshop Pros: If you’re already using Photoshop, this is a nice addition. It lets you partially generate images within your edits, which can be handy for things like background replacements. When it comes to generating full images though, I find this tool really struggles. Cons: The image quality still has room for improvement—hands and fingers, in particular, are a consistent issue. Plus, you need an Adobe Creative Cloud subscription to access it. MidJourney Pros: Hands down, this tool produces the best-quality images. You get multiple outputs per prompt, and what really sets it apart is the ability to refine your favorite image. You can subtly tweak or drastically change it, depending on your needs. It previously only operated on Discord but it now has migrated to it's own platform so that's been a huge pro for me. Cons: It’s not cheap—MidJourney requires its own paid membership and comes with limited tokens, so you’ll need to budget your usage. The biggest con for me in the past was that you had to prompt in a Discord channel but now that it has own platform, it's no longer an issue. After putting all three to the test, my personal favorite is MidJourney. If image quality and creative control are your priorities, it’s hard to beat. That said, DALL·E and Adobe are solid options if you’re already using their platforms and want to save money. Are there any hidden gems I might have missed? If so let me know, I'd love to give them a try.

Share Your Expertise: AI, Automation, and Efficient Organizational Tools, Strategies and Routines!

Hello everyone, As we navigate through the advancements in AI and automation, it's clear that these technologies are reshaping the way we approach work and business management. To stay ahead, sharing our collective knowledge on these subjects is crucial. I'm inviting this community to share insights and experiences with AI tools, automation strategies, and especially, innovative organizational approaches you've found effective. From automating mundane tasks to optimizing digital marketing strategies, every piece of wisdom is valuable. Here’s what we’re specifically interested in: Automated Workflows: What are your strategies for creating automated workflows that enhance productivity and efficiency? Visual Organization: How do you utilize mind maps and other visual tools to organize thoughts and projects efficiently? Canvas Maps: Have you implemented CANVAS Maps in customer interaction, ideation, strategy development, or action planning? How has it improved your processes? AI in Marketing: How has AI helped you optimize your digital marketing strategies and data analysis? What tools or methodologies have you found most effective? This thread aims to be a resource for all of us to learn from each other's successes and innovations. Whether it’s a simple tip or a comprehensive strategy, your input can significantly impact someone’s approach to challenges. What groundbreaking AI solutions, automation hacks, or organizational methods have you discovered that made a noticeable difference in your work or business? Share your stories and let’s empower each other to achieve greater efficiency and success. Thank you for contributing to our shared journey toward innovation and improvement!

What AI Tools Would You Like to See on a Dashboard for Small Businesses?

Hello r/smallbusiness, I’m curious to learn more about what small business owners think about AI tools. If there was a dashboard specifically designed for small businesses, what kind of AI tools or features would you find most useful? • What kind of AI-driven features would help you the most? (e.g., sales forecasting, customer insights, automated marketing, inventory management) • What are your biggest challenges that you think AI could address? • How important is ease of use and integration with your current systems? • Have you used any AI tools before? If so, which ones were helpful or not so helpful? Looking forward to hearing your thoughts and experiences!

My clients are obsessed with AI and it's driving me nuts – are there any actually useful AI tools for service businesses?

I have a roster of a few home service companies (plumbers, roofers, landscapers, etc.) that I do freelance marketing for. Lately, the owners I work with have developed a serious case of AI shiny object syndrome. They’re bombarding me with links to scammy IG ads for “game-changing” AI tools they think will save their businesses overnight. Even talking about replacing their CSRs with "virtual agents". This will obviously lead to some terrible customer experiences, but all they can see is dollar signs at the prospect of laying off that part of their labor force. If I keep pushing back and pointing out how short sighted some of these ideas are, they’ll eventually find someone else that will implement them. So, I’m trying to get out in front of this a little bit and find any AI tools that don’t suck—something I can pitch back to them that’s actually useful and not just a fancy new way to ruin their customer experience. Then when they brag to their other buddies in the trades about how "cutting edge" their business is, it will be in part because of me, not in spite of me. Any suggestions for AI tools that: Help small service businesses without completely alienating their customers? Automate repetitive tasks in a way that doesn’t scream “this was done by a robot”? Aren’t just some scammy overpriced subscription service with a flashy demo? If you’ve actually used something that works, I’d love to hear about it. Honestly, the bar is low. Just help me stop these guys from accidentally burning their businesses down with bad AI ideas.

Has anyone here used AI tools for due diligence when buying a business?

I am considering to buy a small business and want to do the evaluation of the business by using a systematic process, to minimize the potential risk of failure. I’ve heard about using AI-powered due diligence tools to automate financial analysis and spot potential risks. I just want to know that if anyone has experience using such tools How these tools work in practice, and how do they compare to traditional methods? I’m trying to make sure I’m making the best decision without missing anything important. Any advice or experiences would be helpful!

My clients are obsessed with AI and it's driving me nuts – are there any actually useful AI tools for service businesses?

I have a roster of a few home service companies (plumbers, roofers, landscapers, etc.) that I do freelance marketing for. Lately, the owners I work with have developed a serious case of AI shiny object syndrome. They’re bombarding me with links to scammy IG ads for “game-changing” AI tools they think will save their businesses overnight. Even talking about replacing their CSRs with "virtual agents". This will obviously lead to some terrible customer experiences, but all they can see is dollar signs at the prospect of laying off that part of their labor force. If I keep pushing back and pointing out how short sighted some of these ideas are, they’ll eventually find someone else that will implement them. So, I’m trying to get out in front of this a little bit and find any AI tools that don’t suck—something I can pitch back to them that’s actually useful and not just a fancy new way to ruin their customer experience. Then when they brag to their other buddies in the trades about how "cutting edge" their business is, it will be in part because of me, not in spite of me. Any suggestions for AI tools that: Help small service businesses without completely alienating their customers? Automate repetitive tasks in a way that doesn’t scream “this was done by a robot”? Aren’t just some scammy overpriced subscription service with a flashy demo? If you’ve actually used something that works, I’d love to hear about it. Honestly, the bar is low. Just help me stop these guys from accidentally burning their businesses down with bad AI ideas.

Share Your Expertise: AI, Automation, and Efficient Organizational Tools, Strategies and Routines!

Hello everyone, As we navigate through the advancements in AI and automation, it's clear that these technologies are reshaping the way we approach work and business management. To stay ahead, sharing our collective knowledge on these subjects is crucial. I'm inviting this community to share insights and experiences with AI tools, automation strategies, and especially, innovative organizational approaches you've found effective. From automating mundane tasks to optimizing digital marketing strategies, every piece of wisdom is valuable. Here’s what we’re specifically interested in: Automated Workflows: What are your strategies for creating automated workflows that enhance productivity and efficiency? Visual Organization: How do you utilize mind maps and other visual tools to organize thoughts and projects efficiently? Canvas Maps: Have you implemented CANVAS Maps in customer interaction, ideation, strategy development, or action planning? How has it improved your processes? AI in Marketing: How has AI helped you optimize your digital marketing strategies and data analysis? What tools or methodologies have you found most effective? This thread aims to be a resource for all of us to learn from each other's successes and innovations. Whether it’s a simple tip or a comprehensive strategy, your input can significantly impact someone’s approach to challenges. What groundbreaking AI solutions, automation hacks, or organizational methods have you discovered that made a noticeable difference in your work or business? Share your stories and let’s empower each other to achieve greater efficiency and success. Thank you for contributing to our shared journey toward innovation and improvement!

Essential Tools/System/Automations for Solo Founders

As a technical founder managing all aspects of my business on my own rn, I'm finding it increasingly overwhelming. I’m looking for recommendations on systems, automations, and AI tools that can help improve productivity and streamline operations across various functions. What have you found particularly useful in areas like software development, sales/ marketing, customer support etc? Any insights or tools you swear by would be greatly appreciated!

Has anyone here used AI tools for due diligence when buying a business?

I am considering to buy a small business and want to do the evaluation of the business by using a systematic process, to minimize the potential risk of failure. I’ve heard about using AI-powered due diligence tools to automate financial analysis and spot potential risks. I just want to know that if anyone has experience using such tools How these tools work in practice, and how do they compare to traditional methods? I’m trying to make sure I’m making the best decision without missing anything important. Any advice or experiences would be helpful!

My clients are obsessed with AI and it's driving me nuts – are there any actually useful AI tools for service businesses?

I have a roster of a few home service companies (plumbers, roofers, landscapers, etc.) that I do freelance marketing for. Lately, the owners I work with have developed a serious case of AI shiny object syndrome. They’re bombarding me with links to scammy IG ads for “game-changing” AI tools they think will save their businesses overnight. Even talking about replacing their CSRs with "virtual agents". This will obviously lead to some terrible customer experiences, but all they can see is dollar signs at the prospect of laying off that part of their labor force. If I keep pushing back and pointing out how short sighted some of these ideas are, they’ll eventually find someone else that will implement them. So, I’m trying to get out in front of this a little bit and find any AI tools that don’t suck—something I can pitch back to them that’s actually useful and not just a fancy new way to ruin their customer experience. Then when they brag to their other buddies in the trades about how "cutting edge" their business is, it will be in part because of me, not in spite of me. Any suggestions for AI tools that: Help small service businesses without completely alienating their customers? Automate repetitive tasks in a way that doesn’t scream “this was done by a robot”? Aren’t just some scammy overpriced subscription service with a flashy demo? If you’ve actually used something that works, I’d love to hear about it. Honestly, the bar is low. Just help me stop these guys from accidentally burning their businesses down with bad AI ideas.

What AI Tools Would You Like to See on a Dashboard for Small Businesses?

Hello r/smallbusiness, I’m curious to learn more about what small business owners think about AI tools. If there was a dashboard specifically designed for small businesses, what kind of AI tools or features would you find most useful? • What kind of AI-driven features would help you the most? (e.g., sales forecasting, customer insights, automated marketing, inventory management) • What are your biggest challenges that you think AI could address? • How important is ease of use and integration with your current systems? • Have you used any AI tools before? If so, which ones were helpful or not so helpful? Looking forward to hearing your thoughts and experiences!

AI for Business: FREE Practical Course & Tools on YouTube

I worked for 15+ years in AI, created “AI for Business” to help any non technical professional learn and apply AI in their work. FREE course on YT + 6 tools (use-case gallery, ideation canvas, idea evaluation, POC template, team roles, & more) Course Link. Outline: https://preview.redd.it/nxh1952rqxad1.png?width=1744&format=png&auto=webp&s=4d31acdec5b0375734dcc49b1c0be81bc3e605e6

AI for Business: FREE Practical Course & Tools on YouTube

I worked for 15+ years in AI, created “AI for Business” to help any non technical professional learn and apply AI in their work. FREE course on YT + 6 tools (use-case gallery, ideation canvas, idea evaluation, POC template, team roles, & more) Course Link. Outline: https://preview.redd.it/nxh1952rqxad1.png?width=1744&format=png&auto=webp&s=4d31acdec5b0375734dcc49b1c0be81bc3e605e6

AI for Business: FREE Practical Course & Tools on YouTube

I worked for 15+ years in AI, created “AI for Business” to help any non technical professional learn and apply AI in their work. FREE course on YT + 6 tools (use-case gallery, ideation canvas, idea evaluation, POC template, team roles, & more) Course Link. Outline: https://preview.redd.it/nxh1952rqxad1.png?width=1744&format=png&auto=webp&s=4d31acdec5b0375734dcc49b1c0be81bc3e605e6

Why no code tools for building ai models failed?

Business folks have tasks where neural networks could help but they don’t know Python or deep learning, right? Meanwhile ML engineers know AI models but often don’t have an actual problem to solve. So the first group hires the second. Same thing happened with websites a while ago—at first you had to code everything then came drag-and-drop editors, no-code tools, and now even this "vibe coding" stuff. It’s not the most flexible or maintainable, but it works for a lot of people who just need to get something done without spending months learning to code. So why isn’t the same thing happening with building AI models? Like if I run a business I could save a ton of money by automating manual tasks with models trained on my own data. But I have zero clue what Jupyter Notebook or Keras are, and honestly, I don’t want to know. So I have to hire an ML engineer just to get it done because there’s no viable no-code solution for this.

Spent months patching no-code tools—built a full custom business app in 5 minutes with AI

Hey r/SideProject, I’ve spent months trying to patch together off-the-shelf tools and no-code platforms to create software for small businesses, but I kept running into the same problem—they just don’t fit how businesses actually work. That’s when I realized most small businesses need custom software tailored to their unique workflows, but the time and cost of building it from scratch are out of reach for most of them. So I decided to build a solution. Introducing Crust AI—a tool that lets SMB owners describe their exact needs, and in 5 minutes, it generates a fully functional app: client portals, employee hubs, vendor management systems—anything you need to streamline external collaboration. I went from wasting weeks stitching together no-code tools to having a zero-dev solution up and running in minutes. I’d love to hear your thoughts on it. If you’ve been in the same boat as me, check out trycrust.co and let me know what you think!

Just stop paying for social media scheduling tools!

If you wanna pay for something, just pay for features but not to schedule posts. In Dec 2024 I just decided to launch a social media scheduler that is free and unlimited. Because I still don't understand why many people are paying $50+ to schedule posts on multi platforms, I want to make it accessible since it does not represent a huge amount of money to maintain. My challenge is rather to convert free users and provide to them a bunch of tools (meme creators, AI content creations, advanced analytics,...) that could streamline their social media management. So far, I have received tons of really good feedback and got around 300 people signed up. In terms of social media, it supports: Youtube, Tiktok, Instagram, Facebook, X, Bluesky (I'll implement Thread and Linkedin very soon). If you wanna give it a try, that's 100% free and unlimited: https://qayle.ai Surprisingly, I haven't found any abuses so far, but I'm monitoring the usage! Stay safe everyone and I wish you a wonderful day :)

Solo Entrepreneurs, This One’s for You! After Studying 15+ AI Directories, I’m Building a New Hub for AI, SaaS, and Tools (but the concept is unique)—Submit Yours for FREE 🚀 (Big Companies, Please Stay Away)

I’ve been in your shoes—tight budgets, limited resources, and a constant search for marketing solutions that actually work. Lately, I’ve been checking out more than 15 AI directories here on Reddit, and honestly, they all seem to have the same issues. They’re cluttered, confusing, and often filled with sponsored listings that don’t really help anyone. This got me thinking: if these tools aren’t helping users, how can any of our tools succeed? After a lot of thought (and some serious brainstorming), I’ve come up with an idea that I think could be a game-changer. This isn’t just another directory. I’m aiming to build something that’s genuinely useful for solo entrepreneurs and regular users alike. My goal is to create a platform that people actually want to use, because when that happens, your tools get natural, organic exposure. I’m also planning to integrate AI into the platform to make it even more powerful. I can’t spill all the details just yet If you want to get in early, I’m offering to add your tools to the platform for free, especially if you’re a solo entrepreneur. I’m still working out the details, but I’m aiming to launch within the next 1-2 months. Here’s how you can get involved: comment below with the name of your SaaS, AI, or tool, along with a short description of why it’s helpful and why it should be included. I haven’t finalized the domain yet, but for now, I’m planning to host it on my subdomain: toolkit dot unwiring dot tech

0-20+ faceless AI automated YouTube channels in 1 year - my process and tools

First of all before diving deep into this process (scroll a bit below) I have to say something that everyone keeps asking me, is it profitable? Yes. It's by far my most profitable venture outside of my regular 9-5... But it took a lot of work, delegation and building processes to get here. So the one thing I would love to get out of this post - if you have any insights, feedback or tools I might be missing out post them below and let's help each other out. Now, how you can get started with (AI) YouTube automation: Pick a topic that is BOTH: a) in demand b) interesting to you & you have knowledge about Do everything yourself at first - delegate later No one cares about the videos as much as you do, so make sure to nail the ideation, scripts, editing, format and packaging yourself first. Now that we got that out of the way: Use this workflow: VidIQ - outliers sections is pure gold, I use it all the time to find trending video packaging, topics, etc. ChatGPT or Claude - high level video ideas at scale and your assistant (I use projects inside ChatGPT and its really good at managing and prioritizing). If you are using it for scripts please for the love of god, make final edits yourself by hand. Add character, personal insights, ideas, etc. Katalist AI - all in one video generator tool I use to quickly go from video idea to script, storyboard, AI voiceover and then final visuals. It's surprisingly good and to make a decent video it only takes about 1-2 hours in TOTAL. Once you understand how it works and have a process, delegate to tech savvy VAs / content creators for $5-$15/hour and you have final, good quality videos for less than $30. Pikzels / Krea AI - your AI thumbnail generator, I dont remember the last time we used Photoshop outside of quick text or image edits. Its basically AI image manipulation at scale and it costs 10-30x less than a human thumbnail designer and the thumbnails are really good. VidIQ+TubeBuddy - titles & optimization, but you have to know that most of the views come usually from recommended, so dont over obsess and add 392x keywords in your title and description. Its all about the packaging. Now whats left is track performance & iterate - it's practically impossible to nail it the first few times, but each video you make look at the data (not just in YT studio) and UNDERSTAND why it did not perform as well as you thought it would. Regarding monetization, adsense sucks - sell digital products. If I was relying on adsense alone I would never ever be profitable, but selling mini digital products and mentioning CTAs in the actual video not just in the description makes this super profitable and scaleable, especially since video production is so cheap. Final thoughts: (AI) YouTube automation absolutely works, but it’s not an overnight success or a total hands-off cashcow machine. It’s a real business and you need systems, consistent effort, iteration, failing and learning along the way. If you’ve got any tips, hidden gems or tools I might be missing, drop them below & let’s help each other out.

Why no code tools for building ai models failed?

Business folks have tasks where neural networks could help but they don’t know Python or deep learning, right? Meanwhile ML engineers know AI models but often don’t have an actual problem to solve. So the first group hires the second. Same thing happened with websites a while ago—at first you had to code everything then came drag-and-drop editors, no-code tools, and now even this "vibe coding" stuff. It’s not the most flexible or maintainable, but it works for a lot of people who just need to get something done without spending months learning to code. So why isn’t the same thing happening with building AI models? Like if I run a business I could save a ton of money by automating manual tasks with models trained on my own data. But I have zero clue what Jupyter Notebook or Keras are, and honestly, I don’t want to know. So I have to hire an ML engineer just to get it done because there’s no viable no-code solution for this.

Spent months patching no-code tools—built a full custom business app in 5 minutes with AI

Hey r/SideProject, I’ve spent months trying to patch together off-the-shelf tools and no-code platforms to create software for small businesses, but I kept running into the same problem—they just don’t fit how businesses actually work. That’s when I realized most small businesses need custom software tailored to their unique workflows, but the time and cost of building it from scratch are out of reach for most of them. So I decided to build a solution. Introducing Crust AI—a tool that lets SMB owners describe their exact needs, and in 5 minutes, it generates a fully functional app: client portals, employee hubs, vendor management systems—anything you need to streamline external collaboration. I went from wasting weeks stitching together no-code tools to having a zero-dev solution up and running in minutes. I’d love to hear your thoughts on it. If you’ve been in the same boat as me, check out trycrust.co and let me know what you think!

Built an AI marketplace for hiring AI agents, tools & developers – Would love feedback!

Hey Reddit! 👋 I’ve been fascinated by the rise of AI automation, and YC-backed Firecrawl recently made headlines for hiring an AI agent for $15K/year. That got me thinking… 🤔 💡 What if there was a marketplace where businesses could hire AI agents, tools, and developers easily? So, I built agentsjungle.com as a side project: ✅ Discover AI Agents & Tools for automation ✅ Hire AI Developers for custom solutions ✅ Find AI Job Listings in AI & ML Right now, it’s just a side project, and I’d love feedback from the community! 🔗 Check it out: agentsjungle.com

0-20+ faceless AI automated YouTube channels in 1 year - my process and tools

First of all before diving deep into this process (scroll a bit below) I have to say something that everyone keeps asking me, is it profitable? Yes. It's by far my most profitable venture outside of my regular 9-5... But it took a lot of work, delegation and building processes to get here. So the one thing I would love to get out of this post - if you have any insights, feedback or tools I might be missing out post them below and let's help each other out. Now, how you can get started with (AI) YouTube automation: Pick a topic that is BOTH: a) in demand b) interesting to you & you have knowledge about Do everything yourself at first - delegate later No one cares about the videos as much as you do, so make sure to nail the ideation, scripts, editing, format and packaging yourself first. Now that we got that out of the way: Use this workflow: VidIQ - outliers sections is pure gold, I use it all the time to find trending video packaging, topics, etc. ChatGPT or Claude - high level video ideas at scale and your assistant (I use projects inside ChatGPT and its really good at managing and prioritizing). If you are using it for scripts please for the love of god, make final edits yourself by hand. Add character, personal insights, ideas, etc. Katalist AI - all in one video generator tool I use to quickly go from video idea to script, storyboard, AI voiceover and then final visuals. It's surprisingly good and to make a decent video it only takes about 1-2 hours in TOTAL. Once you understand how it works and have a process, delegate to tech savvy VAs / content creators for $5-$15/hour and you have final, good quality videos for less than $30. Pikzels / Krea AI - your AI thumbnail generator, I dont remember the last time we used Photoshop outside of quick text or image edits. Its basically AI image manipulation at scale and it costs 10-30x less than a human thumbnail designer and the thumbnails are really good. VidIQ+TubeBuddy - titles & optimization, but you have to know that most of the views come usually from recommended, so dont over obsess and add 392x keywords in your title and description. Its all about the packaging. Now whats left is track performance & iterate - it's practically impossible to nail it the first few times, but each video you make look at the data (not just in YT studio) and UNDERSTAND why it did not perform as well as you thought it would. Regarding monetization, adsense sucks - sell digital products. If I was relying on adsense alone I would never ever be profitable, but selling mini digital products and mentioning CTAs in the actual video not just in the description makes this super profitable and scaleable, especially since video production is so cheap. Final thoughts: (AI) YouTube automation absolutely works, but it’s not an overnight success or a total hands-off cashcow machine. It’s a real business and you need systems, consistent effort, iteration, failing and learning along the way. If you’ve got any tips, hidden gems or tools I might be missing, drop them below & let’s help each other out.

[D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?

Hello, I am a computer science student and I am trying to set up a workshop for high-school students to give them a first hands-on introduction to AI, more specifically to computer vision. So, I was wondering if you know any frameworks or tools or libraries that would raise awareness about AI and give a first incentive about it to teenagers.Any help would be very much appreciated!Cheers!

Best AI tools that detect blurry images? Not correct them, literally just flag them as blurry (so I can delete them programmatically) [D]

I literally just need some kind of automated tool that can detect if an image is blurry -- because if so, my plan is to programmatically delete them as part of a workflow. What are some of the best AI tools that can be used for this? Thanks!

How I Reduced 🔽Product Development time by 50% & increased 🔼Revenue multi-folds by incorporating No-Code, Low Code & AI tools in our software development workflow

I run a web development agency, providing SaaS & bespoke Management systems development. Over the years we almost 🔽reduced the software development time by 50% ... ...and increased our revenue. Simultaneously clients are much happier as they get the product quicker. Here is how we achieved it: 1/ Using Low-Code: ➡️ Provide a visual way to software development. ➡️ I just need to build the logic using the interface, check the preview multiple times to refine features, and then download or push the code to GitHub. The benefits are obvious: ⚡ Much faster compared to writing codes 🔄 Iteration & improvements done quickly. 🚀 Idea to basic tiny MVP within few hours. 🧩 Non-developers can build the initial prototype ✅We use https://quickadminpanel.com/ to quickly build admin panel. It provides CRUD, Authentication, Authorisation, API, Model, View, and Controller in PHP Laravel frameworks. ​ 2/ Using AI: Once adminpanel is ready, customers get to see something tangible from his idea. It also uncovers many unseen features, benefits, and roadblocks for us & customers. No-code tools already did a lot of work for us, now we improve the logic where required, build new interfaces, and do integrations. With chatGPT as a development companion, it makes the entire development and design superfast. by helping to build logic quickly, automate mundane tasks, and overcome any roadblocks. ​ Some of our common use cases are: ➡️ Writing PRD ➡️ Brand Guidelines - Color pallet selection, Fonts, images, etc based on targetted niche. ➡️ Designing new component ➡️ Logic building & solving ➡️ Automated Recurring tasks ✅ We use a combination of chatGPT & Github Copilot for AI Assistance. ​ 3/ Using No-Code: ➡️ Allows to quickly build without writing code. ➡️ Provides complete end-to-end solution (application hosting, database hosting, API integrations, etc) ➡️ Unlike Low-code it doesn't provide an option to download code. ✅ Once the MVP is done, we use FormNX to quickly build various types of forms required, like contact forms, Survey forms, initial waiting list forms, Churn Survey forms, Webinar registration & much more. With this customers can build/change forms, embed them in cms, or share them on social media without relying on developers. \\\\\* Doing these 3 has truly helped our agency, leading to substantial time savings, revenue growth, and improved client satisfaction. If you’re an agency owner, i highly recommend doing it to supercharge your agency's growth. If any questions feel free to comment below, happy to help.

I tested hundreds of marketing tools in the last three years and these 50 made it to the list. I'll sum up my top 50 marketing tools with one or two sentences + give you pricings.

Hey guys, I'm working in a growth marketing agency. Marketing tools are 30% of what we do, so we use them a lot and experiment with the new ones as much as possible. There are thousands of tools and it's easy to get lost, so I wanted to share the tools we use most on a daily basis. And divide the list into 14 categories. I thought this could be handy for Entrepreneurs subreddit. Why adopt tools? I see marketing tools as tireless colleagues. If you can't hire an employee, choosing the right tool can solve your problems, because they Are super cheap. Work 7/24 for you. Don’t make mistakes. Don’t need management. (or needless management) Help you to automate the majority of your lead gen process. Onwards to the list. (With the pricings post ended up quite long, you can find a link in the end if you want to check the prices) Email marketing tools #1 ActiveCampaign is armed with the most complicated email automation features and has the most intuitive user experience. It feels like you already know how to use it. \#2 Autopilot is visual marketing automation and customer journey tool that helps you acquire, nurture based on behaviors, interest etc. #3 Mailjet: This is the tool we use to send out bulky email campaigns such as newsletters. It doesn't have sexy features like others but does its job for a cheap price. Email address finders #4 Skrapp finds email of your contacts by name and company. It also works with LinkedIn Sales Navigator and can extract thousands of emails in bulk + have a browser add-on. #5 Hunter: Similar to Skrapp but doesn't work with LinkedIn Sales Navigator directly. In addition, there are email templates and you can set up email campaigns. Prospecting and outreach tools #6 Prospect combines the personal emails, follow-up calls, other social touches and helps you create multichannel campaigns.  #7 Reply is a more intuitive version of Prospect. It is easy to learn and use; their UX makes you feel good and sufficient.  CRM tools #8 Salesflare helps you to stop managing your data and start managing your customers. Not yet popular as Hubspot and etc but the best solution for smaller B2B businesses. (we're fans) \#9 Hubspot: The most popular CRM for good reason and has a broader product range you can adopt in your next steps. Try this if you have a bulky list of customers because it is free. #10 Pardot: Pardot is by Salesforce, it's armed with features that can close the gap between marketing and sales. Sales Tools #11 Salesforce is the best sales automation and lead management software. It helps you to create complicated segmentations and run, track, analyze campaigns from the same dashboard. #12 LinkedIn Sales Navigator gives you full access to LinkedIn's user database. You can even find a kidnapped CEO if you know how to use it with other marketing automation tools like Skrapp. #13 Pipedrive is a simple tool and excels in one thing. It tracks your leads and tells you when to take the next action. It makes sales easier. #14 Qwilr creates great-looking docs, at speed. You can design perfect proposals, quotes, client updates, and more in a flash. We use it a lot to close deals, it's effective. #15 Crystalknows is an add-on that tells you anyone’s personality on LinkedIn and gives you a detailed approach specific to that person. It's eerily accurate. #16 Leadfeeder shows you the companies that visited your website. Tells how they found you and what they’re interested in. It has a free version. Communication Tools #17 Intercom is a sweet and smart host that welcomes your visitors when you’re not home. It’s one of the best chatbot tools in the market. #18 Drift is famous for its conversational marketing features and more sales-focused than Intercom. #19 Manychat is a chatbot that helps you create high converting Facebook campaigns. #20 Plann3r helps you create your personalized meeting page. You can schedule meetings witch clients, candidates, and prospects. #21 Loom is a video messaging tool, it helps you to be more expressive and create closer relationships. #22 Callpage collects your visitors’ phone number and connects you with them in seconds. No matter where you are. Landing page tools #23 Instapage is the best overall landing page builder. It has a broad range of features and even squirrel can build a compelling landing page with templates. No coding needed. #24 Unbounce can do everything that Instapage does and lets you build a great landing page without a developer. But it's less intuitive. Lead generation / marketing automation tools #25 Phantombuster is by far the most used lead generation software in our tool kit. It extracts data, emails, sends requests, customized messages, and does many things on autopilot in any platform. You can check this, this and this if you want to see it in action. #26 Duxsoup is a Google Chrome add-on and can also automate some of LinkedIn lead generation efforts like Phantombuster. But not works in the cloud. #27 Zapier is a glue that holds all the lead generation tools together. With Zapier, You can connect different marketing tools and no coding required. Conversion rate optimization tools #28 Hotjar tracks what people are doing on your website by recording sessions and capturing mouse movements. Then it gives you a heatmap. #29 UsabilityHub shows your page to a digital crowd and measures the first impressions and helps you to validate your ideas. #30 Optinmonster is a top tier conversion optimization tool. It helps you to capture leads and enables you to increase conversions rates with many features. #31 Notifia is one mega tool of widgets that arms your website with the wildest social proof and lead capturing tactics. #32 Sumo is a much simpler version of Notifia. But Sumo has everything to help you capture leads and build your email lists. Web scrapers #33 Data Miner is a Google Chrome browser extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet. #34 Webscraper does the same thing as Data Miner; however, it is capable of handling more complex tasks. SEO and Content #35 Grammarly: Your English could be your first language and your grammar could be better than Shakespeare. Grammarly still can make your writing better. #36 Hemingwayapp is a copywriting optimization tool that gives you feedback about your copy and improves your readability score, makes your writing bolder and punchier. Free. #37 Ahrefs is an all-rounder search engine optimization tool that helps you with off-page, on-page or technical SEO. #38 SurferSEO makes things easier for your on-page SEO efforts. It’s a tool that analyzes top Google results for specific keywords and gives you a content brief based on that data. Video editing and design tools #39 Canva is a graphic design platform that makes everything easy. It has thousands of templates for anything from Facebook ads, stylish presentations to business cards.  #40 Kapwing is our go-to platform for quick video edits. It works on the browser and can help you to create stylish videos, add subtitles, resize videos, create memes, or remove backgrounds. #41 Animoto can turn your photos and video clip into beautiful video slideshows. It comes handy when you want to create an advertising material but don’t have a budget. Advertising tools #42 AdEspresso lets you create and test multiple ads with few clicks. You can optimize your FB, IG, and Google ads from this tool and measure your ads with in-depth analytics. #43 AdRoll is an AI-driven platform that connects and coordinates marketing efforts across ads, email, and online stores. Other tools #44 Replug helps you to shorten, track, optimize your links with call-to-actions, branded links, and retargeting pixels #45 Draw.io = Mindmaps, schemes, and charts. With Draw.io, you can put your brain in a digital paper in an organized way. #46 Built With is a tool that finds out what websites are built with. So you can see what tools they're using and so on. #47 Typeform can turn data collection into an experience with Typeform. This tool helps you to engage your audience with conversational forms or surveys and help you to collect more data. #48 Livestorm helped us a lot, especially in COVID-19 tiles. It’s a webinar software that works on your browser, mobile, and desktop. #49 Teachable \- If you have an online course idea but hesitating because of the production process, Teachable can help you. It's easy to configure and customizable for your needs. #50 Viral Loops provides a revolutionary referral marketing solution for modern marketers. You can create and run referral campaigns in a few clicks with templates. Remember, most of these tools have a free trial or free version. Going over them one by one can teach you a lot and help you grow your business with less work power in the early stages of your business. I hope you enjoyed the read and can find some tools to make things easier! Let me know about your favorite tools in the comments, so I can try them out. \------ If you want to check the prices and see a broader explanation about the tools, you can go here.

Have You Used AI Tools for Your Research? Which Ones Are Your Favorite and Why?

Over a decade ago, I wrote two articles: "A B\ginner’s Guide to Computer Science Research" and "How to Start a Research Work in Computer Science"*. These articles were widely used in universities worldwide to help students and early-career researchers navigate academic research in Computer Science (CS). Fast forward to 2025, the research landscape has evolved significantly, especially in AI and CS, with the advent of AI-powered research tools, open-access repositories, and real-time collaboration platforms. These tools have made research more accessible, enabling students and professionals to work more efficiently while focusing on real innovation. I recently published an updated article in The Times of India, presenting an Eight-Step Approach to Research framework designed for modern AI and CS research. This framework integrates AI-powered literature review tools, reference management systems, open science platforms, and collaborative research methods to enhance the research workflow. 🚀 Would love to hear from the ML research community: 1️⃣ Have you used any AI-powered tools or automation techniques in your research? Which ones do you find most useful? 2️⃣ Do you have recommendations for other AI tools that weren’t covered in the article but could benefit researchers? 3️⃣ How do you think AI will shape the future of academic research and discovery? 📖 Read the article here: How to Start Research in Computer Science & AI in 2025 – An Updated Framework Block Diagram of “Eight-Step Approach to Research” in 2025 Let’s discuss! What are your go-to tools for making research more efficient in 2025?

tools I use to not have to hire anyone

I’ve spent unreasonable amount of time with AI tools and here’s curated list of ones I recommend for productivity (honestly, some of them can replace an employee): General assistants ChatGPT \- You probably know it. It’s a great tool for ideating, brainstorming, document summarization and quick question-answer work. There’s a desktop app available so you can quickly pop it up by pressing control + space, which makes it even better for productivity. Claude \- Another chat interface, similar to ChatGPT. It’s a different model provider so the answers and behavior might be different. From my experience, Claude 3.5 Sonnet is performing better than GPT-4o (but not o1) in tasks that focus on reasoning, code writing and copywriting. There’s also a desktop app available. Gemini \- Honestly, I’m not even sure where to put it. It’s Google’s model, one of the most powerful in terms of multimodal capabilities (text, image, audio). And it’s tailored for your Google Workspace. Email, docs, spreadsheets, meets, presentation. Anything. Research Perplexity \- Perplexity is an AI search engine that provides answers to questions with up-to-date information. So, forget Google. Use Perplexity to get answers to questions and dive down the rabbit hole. Exa AI \- Exa is another advanced search engine that combines AI-driven neural search with traditional keyword search. It understands the semantic meaning of queries and documents. And you can also choose what you want to search: academic articles, news, reports, tweets etc. Meetings, calendar and email Granola \- Great AI notepad for meetings. It’s a desktop app, so there’s no bot joining your meetings. It automatically transcribes and enhances meeting notes, helping organize and summarize key takeaways and generates action items, follow-up emails, etc. It also allows you to ask questions about the transcript and get answers. Reclaim \- AI-powered calendar that optimizes for productivity. Essentially, it automates meetings, tracks tasks, and protects deep work time. Cool thing is that it syncs with Google Calendar and Slack. Cora \- Batch processing emails is one of the main productivity tactics. Cora enables that. You only see emails that you need to respond to. And it generates automatic replies for you. All other emails are summarized twice a day. Knowledge summarization Particle News \- Short summaries of the daily news. Pretty straightforward. Notebook LM \- Notebook LM helps process and summarize various types of content, such as PDFs, websites, videos, and more. The cool thing is that it provides insights and connections between topics, cites sources and offers audio summaries. I use it when the content to read is too long and I’m on the go. Napkin \- For creating visuals from text. You can easily generate and customize infographics, diagrams etc. So, if you’re brainstorming, writing or preparing for a presentation, Napkin will work well. Writing and brainstorming Grammarly \- Well known grammar checker. It helps improve writing by focusing on clarity and tone. Sometimes the Grammarly icon popping up is annoying though. Flow \- Flow helps you write and edit notes by speaking. And it integrates across all the apps you use, adapts to your tone and style. Cool tool for just yapping! Automations Gumloop \- Think AI-first Zapier, but 100x more powerful. It's is a platform for automating complex work using AI via a no-code drag and drop interface. It’s very easy to automate work without needing engineers. And they have loads of templates. Wordware \- A platform for building AI agents with natural language. Honestly, for folks who are a bit more technical. You simply prompt LLM to perform a task for you. And you can build any integration you want. If you’re a builder, you can later on connect the agent via API. I strongly believe that technology is leverage. And with AI we can be in top 0.1% of people. If you want bit deeper dive into the topic, I shared that on my substack (available via link in my profile) Any other recommendations for apps I could use? What works if you want to keep the team super lean in early days?

[Ultimate List] A list of Marketing Tools That I’ve tested over the years and found helpful to do better marketing with less work. More than 50 Tools To Help you with Marketing, Copywriting & Sales!

Starting to focus on marketing for your business, You will come across the same tools mentioned over and over by marketers. I would like to mention here tools that you might haven’t seen going viral in the community but actually will help you grow faster and efficiently. Starting off with My favourite Marketing Channel! #Email Marketing For SMBs Convertkit / Mailerlite / Mailchimp - These 3 Platforms are the best options for SMBs and entrepreneurs just starting out with email marketing. All 3 have free plans up to 1,000 subscribers. Scribe - Email Signature Tool, Create Great Email signatures for your emails. Liramail - Most Email marketing platforms don’t offer great email templates. This tool will help you build great email templates with drag and drop. Quick mail Auto-Warmer - Most Businesses at the beginning don’t know what to do when open rate drops. You need to use an email warmer like this to keep it up. #Email Marketing For Big Businesses SendGrid - Overall Email Marketing Tools, this tool is best for brands that have huge email lists and email marketing is the key marketing channel. Braze - This tool is leading in email marketing for large Email senders. When I was working for agencies, this was one of the best email marketing tools I had used. NeoCertified - Protect your emails for spammers and threats. To keep your email list healthy, this is a must have! Sparkloop - Referral Marketing For Email Campaigns. Email can generate great huge amount of referrals for you and Sparkloop makes it easier. #Cold Emails & Lead Generation Hunter - A Great Tool to scrape emails from domain names. The tool comes with a green free plan but Pro plan is worth the amount of features it provides. Icyleads - It’s better than Hunter as it’s heavily focused on the sales and prospecting to help you derive great results from your campaigns. Mailshake - Beginner Friend Cold Email Tool with Great features like email list warming. #Communication Tools Twilio - One do the best customer engagement platform used by Companies like Stripe and mine too. Chatlio - Use Live chat feature on your website with slack integration. My favourite easier to catch up on conversations through slack integration. Intercom - Used by Most Marketers, Industry Leading customer communication platform. Great for beginners! Chatwoot - Another Amazing Communication Tool but the best part is they have a great free plan useful for new businesses. Loom - Communicate with your audience through Videos. Loom is great for SaaS and to show human interaction to close new visitors effectively. #CRM Outseta - This tool provides great CRM and their billing system is better than other tools out their which makes it stands out! Hubspot - I don’t think this tool needs an introduction because Hubspot’s CRM is the best in industry. Salesflare - This CRM is a great alternative to hubspot as it’s beginner friendly and helpful for SMBs. #SEO Tools Ahrefs - One of the best SEO tool in the industry. They also just launched a bunch of free tools to help SEO beginners. Screaming frog - The only website crawler I have used since I bought my first domain. It’s the best! Ubersuggest- The Tool by Neil Patel is the best SEO tool for you. (I’m Joking, it’s the worst) Contentking - This tool is good at Real-time SEO Auditing, they do a lot of Marketing work through Newsletters. If you are subscribed to any SEO newsletter. You may have seen this tool. SEOquake & Semrush - SEOquake is a great tool to conduct on-page analysis, SERP, and much more. Great tool but it’s owned by Semrush. You should go for Semrush because that tool will cover all SEO aspects for you. #Content Marketing Buzzsumo - This tool is great for content research and but you may find the regular emails pretty annoying sometimes. Contentrow - Analyse Your Content and find it’s strength. Highly recommended who are weak at content structuring like me. Grammarly - If you are not a native English speaker like me, you might think you need it or not. You need it for sure for grammar corrections. #Graphic Design Tools Visme - At agencies, Infographics can be more effective than usual postscript. Visme is a graphic design tool focused on infographics and designs related to B2B and B2C. It’s great for agencies! Glorify - A Graphic Design Tool focused on E-commerce, filled with Designs useful for E-commerce store owners. Canva - All-in-one Industry leading Graphic Design Tool that everyone knows and every template is overused now. Adobe Creative Cloud ( previously Sparkpost) - It’s a great alternative to Canva filled with Amazing Stock images to use in your visuals but the only backlash is the exports in this tool are not high quality. Snaps - A Canva Alternative that might not have overused templates for your Social Accounts. #Advertising Tools Plai - It’s a great PPC tool to create Ads for Instagram and Tiktok. Wordstream - It’s an industry leading PPC Tool, great for Ad Grading and auditing. AdEspresso - This Is a tool by Hootsuite. They have a lot of Data sourced at the backend, which helps in Ad optimisation through this tool. That’s the reason I recommend this tool. #Video Editing Tools Veed Studio - I have been using Veed from last year. It’s one of the best Video Marketing Tool Optimized for Instagram & Tiktok. Synthesia - It’s a new AI video generation platform. From last few months, if you have seen marketing agencies including Videos in Emails. The chances are that’s not a Agency member taking but AI generated Human. Motionbox - It’s also a great video editing tool focused on video editing for Digital Marketers. Jitter Video - It’s a great motion design tool. Comes with great templates, the only place where other tools I mentioned lacks. It’s great and beginner friendly. #Copywriting Jasper AI - Google’s John Mueller says AI generated content is banned on Search but I think with Jasper AI you can generate SEO optimised Content but you have to put in some efforts like at least give 30 minutes for editing the Copy by yourself. Copy AI - Another AI tool to help you write better copy. This one is more focused on helping you write copy suitable for Ads and Social media campaigns. Hemingway App - To help you write more clearly and Bold. This tool is better than Grammarly if you look for writing perspective and it’s free. #Social Media Management App I’ve used a Lot of SMM Tools and that’s why going to mention all of them with a short review. Sprout social - The Best with deep insights coverage. Hootsuite - Great Scheduling tool just under sprout social. Later - Heavily Focused on Instagram from beginning and Now Tiktok too. SkedSocial - It’s like a Later alternative with great addition features like link-in-bio. Facebook’s Business Manager- Great but sometimes bugs can make a huge issue for you and customer support is like dead. Tweet Hunter & Hypefury- Both are Twitter Scheduling tools growing very fast on platform and are great for growth. Buffer - It’s a great tool but I haven’t seen any new updates to help with management. Zoho Social - It’s a great SMM tool and if you use other marketing solutions from Zoho. It’s a must have! #Market Research Tool • SparkToro - That’s the only one I have ever used. It’s great for audience research and comes with great customer service. Founded by Rand Fishkin, it’s one of the best research tool. #Influencer Marketing & UGC InfluenceGrid - A free search engine To find Tiktok & Instagram Influencers for your campaigns. Tiktok Creative Center- TikTok’s in-built tool called “Creative Center” is the best to find content trends, audience demographics and much more. Archive - Find Instagram Stories and Posts mentioning Your brands and use them as Ads for your business Marketing. #Landing Page Builders Leadpages - Its a great landing page builder because the integration and drag-and-drop features makes it easier to work with! Cardd co - A Great Landing page builder with easy step up but it lacks the copywriting and tracking features. Instapage - It’s one of the best out and I think the overall product is effective enough to help you stand out with your landing page. Unbounce - It’s a great alternative to Instapage due its well polished landing page templates that might be helpful for you. #Community Building Mighty Networks - A Great Community building platform, and you can also sell courses within the platform. Circle so - A great alternative to Mighty networks focused on Communities specifically. We are currently using for small community Of ours. #Sales Tools Drift - You can get much more out of Drift than just sales tools but The Sales solutions provided in Drift are one of the best. Salesforce - It’s the industry Sales solution provider. A go-to and have various pricing plans making it suitable for majority of SMBs. #Social Proof Tools People don’t have enough time to search across internet to decide to trust you after seeing your Ad first time. That’s what you might be facing too. Here are two tools I absolutely love for social proof! Use Proof - Show Recent Activities occurring on your website and build the trust of your visitors. Testimonial to - Gather Testimonials across Social Media platforms related to your business with this tool. Capture tweets and comments mentioning your brands and mention them. #Analytics Tools Plausible Analytics- A privacy friendly Analytics alternative to Google Analytics if you hate Analytics 4 like me. Mixpanel - Product Analytics and funnel reports better than Google Analytics. #Reddit Marketing Gummysearch- This tool will help To find your target audience on Reddit and interact with them with its help and close your new customers. Howitzer- It’s another pretty similar tool to Gummysearch focused on Reddit cold outreach to get clients and new customers. Both are great but Gummysearch provides better customer support while Howtizer is helpful on a large scale Reddit Marketing. #Text Marketing Klaviyo - It’s an email + SMS marketing tool, it’s taking up space in marketing industry very quickly as an industry leader due to its great integrations but you need to learn the platform usage to maximise the outcome. Cartloop - This tool provides great text marketing solutions with integration with Spotify and other e-commerce marketing tools. Attentive Mobile - This is my favourite Text marketing tool due to the interactive dashboard + they have a library of Text marketing examples to help you out with your campaigns. #Other Tools I have used throughout my journey! Triple Whale - It’s a great E-commerce marketing tools with Triple pixel to help you track your campaigns more efficiently. Fastory - To create well optimized Instagram & Tiktok Stories for your business. Jotform - Online Form Builder with integrations with leading marketing tools. Gated - As an entrepreneur and marketer, you may receive a bunch of unwanted emails. Use Gated to get rid of them and receive useful mails only! ClickUp- The main Tool for Project Management, one of the best and highly recommended. Riverside - Forget Zoom or Google Meet, For your Podcast Interviews and Marketing conferences. You need riverside with great video quality and recording features. Manychat- Automate your Instagram DMs and interact with your followers more efficiently + sell out your products/ services when you are offline. Calendy - To schedule meetings with your ideal clients. ServiceProviderPro - It’s a client portal for SEO & Growing Agencies, very helpful in scaling agencies. SendCheckit - Compare your Email Subject Lines with 100,000+ others in the database for free. Otter AI - Using AI track your meetings more effectively, you can easily edit, annotate and share notes from the meetings. Ryte - Optimise your website User experience with this tool focused on UX aspects + SEO too. PhantomBuster - Scrape LinkedIn Profile and Data from Facebook/LinkedIn groups. I clearly love this tool! #Honourable Mentions Zapier - The Only tool you need to integrate your favourite tool with a new effective tool. Elementor - That’s what I use for web design and it’s great! Marketer Hire - To hire world class marketers to work with you. InShot & Capcut - I create Instagram Reels and TikTok’s and life without these tools isn’t possible. Nira - It’s a great tool to Manage your workspace and this tool has launched many marketing templates in-built helpful for marketers and also entrepreneurs. X - The tool you love that wasn’t mentioned here is valuable and I honour that tool and share that if you would like to! I mean thanks for reading what I have curated all over my life as a marketer. I share 5 Marketing Tools, 5 Marketing Resources and 1 Free Resourceevery week in my newsletter, you can subscribe here to receive that for free. Also, You can read an expanded list of email marketing tools in this Reddit post!

AI for Business- Sharing Strategies, Knowledge and Tools

Hi All, As a small business owner running a tech company that focuses on process automation, I understand the importance of staying up-to-date with the latest advancements in AI and other emerging technologies. I have found the amount of new tools and tech overwhelming to keep track of as of recent. I would like to start a group of entrepreneurs and tech professionals who share a common interest in the latest tools relating to AI, but also tech in general. My goal is to create an environment for members to discuss business strategies, share projects involving how they are introducing AI, new tools... I hope that by pooling knowledge everyone involved can benefit. To ensure the community remains focused and valuable I am thinking that It will be a requirement for all members to share a tool, project ideas, strategies... related to business on a bi-weekly basis. Potentially bi-weekly calls as well, but Ill figure that out based on the interest. We currently have about 15 members and looking to add maybe 10-15 more. If this sounds like something you'd be interested in post below or send me a DM. Add a brief description of what you are interested in / working on. Looking forward to connecting

Simple rate limiting strategy to launch free AI tools without buring your pocket

Free AI tools are a great SEO hack to get more traffic on your website, but my biggest concern always has been abuse of them. Now the strategy I'm going to share isnt 100% bulletproof and folks can definitely get around it. But it has been working well so far. I've implemented it for my Shopify App Idea Generator, which I've launched today. Steps: First of all, explore Mistral in case your output tokens \> input tokens gpt-3.5-turbo-0125 costs $0.5/1M for input & $1.5/1M for output open-mixtral-8x7b costs 0.7$ / 1M tokens input & 0.7$ / 1M tokens for output one con is mixtral does not support tools right now, my idea generator is a rag tool so sadly couldnt use it in prod The average tokens per usage for my tool was 2k input & 1k output OpenAI cost comes out to be: $0.0025 Mistral cost comes out: $0.0021 More often than not, especially if you're building chat tools, input >> output. So the lower input cost of 3.5 makes sense. This also motivated me to build my own gpt pricing calculator to do quick comparisons Now lets say you dont want to spend more than $50 per month on your free tool Lets assume you get 1k users in a month ( which is not an easy feat to achieve, remember, seo takes time) Only way to instantly get such traffic is to go viral on social media /product hunt etc, which ofcourse can be attempted That means per user you wouldnt want to spend more than 50/1000 = $0.05 Execution cost for my tool is $0.0025 So i can affort max $0.05/$0.0025 = 20 attempts per user in a month Implement IP based rate limiting I've deployed my backend on render.com, and it sends the ip of the client in \x-forwarded-for\ header Only way folks get around this easily is by switching networks or ip rotation, which again isnt that straightforward, but ofcourse can be hacked Now its upto you to limit the user once in 24 hours, 1 hour, or even 30 days for that matter. Ideally the user should be upfront aware about the executions they have in the x time frame so that they can optimise their prompts accordingly I usually prefer much tighter rate limits but use larger models so that the output is so damn good that folks start sharing the tools with each other and it increases virality Lastly, set the limits on your provider settings In the event you actually become viral, there is no one stopping from api abuse. In such scenarios OpenAI, Mistral and pretty much every provider allows you to set a cap at your usage budget. If that is crossed, the api stops working Yes this does break the tool, but it doesnt break your pocket atleast, you then buy time to figure out what to do. Let me know what you folks think about this. I will definitely do a longer blog post version of this when I have some results & numbers in hand. Cheers.

Strategy to launch free ai tools on Producthunt?

On my quest to improve SEO for my product's website, I have built a free ai wrapper that I will launch on PH on monday. Why Monday? Because Monday is usally when you get the most traffic. I've been mostly following the steps of this guide by Sveta Bay (great guide btw) but does launching free tools automatically gets features by influencers and ai newsletters? I guess you would need to be on top 5 for that atleast, right? But to get on the top 5 you need a good combination of product + marketing, but am i not doing as a marketing activity for my actual product? infinite loop lol

5 AI Free Tools for Entrepreneurs (Beginners)

These are the AI tools that I use and that may be useful to other entrepreneurs in the early stages of a project. Plani. AI \- Planning tool that gives you marketing, sales and other plans with personalized tips and strategies for your business. (Management) Journalist. AI \- Tool for generating complete and highly humanized blog articles. (Engagement) Opus Clip \- This tool cuts youtube videos into vertical videos ready to publish on social media. (Acquisition) Success. ai \- Email marketing tool that gives you cold email strategies (Leads) Venturefy. ai \- A verified public B2B relationship wiki that provide a public wiki of verified B2B relationships What other AI tools do you suggest for budding entrepreneurs?

I have reviewed over 900+ AI Tools for my directory. Here are some of the best ones I have seen for entrepreneurs and startups.

As one of the co-founders at AI Scout, a platform for AI discovery, I've had the privilege (and challenge) of reviewing over 900 AI tools submitted to our directory. I've filtered these down to some of the top AI tools that I believe could bring value to startups and entrepreneurs. It's worth noting that while these tools are great right out the box, the power of AI is truly realized when these tools are used in tandem and strategically aligned with your business needs. The challenge most people face is not about the lack of AI tools available, but the difficulty in finding the right one that fits their specific needs and workflows. Without further ado, here's my top pick of AI tools you should consider looking into if you are an entrepreneur or run a startup. Chatbase - Custom ChatGPT (Trained on Your Own Data) Taking a step up from traditional support bots, Chatbase combines the power of GPT and your own knowledge base. The result is a ChatGPT-like chatbot that is trained on your own websites and documents. You can embed the chatbot into your own website via an iframe or script in the header of your website code. They also have an API you can take advantage of. We use this personally at AI Scout for ScoutBud (AI assistant to find AI tools), which we trained based on our directory site. It would also work great if you have extensive documentation, papers, etc. that you want to quickly reference by simply asking a chatbot for the info you need instead of having to go through dozens of PDFs. Reply - AI-Powered Sales Engagement Platform Great AI tool to manage your entire sales engagement cycle. They have a large database with about a dozen filters to discover optimal B2B leads. From here, you can use their GPT integration to generate cold emails as well as handle responses and meeting scheduling. What I like personally about Reply are the endless integrations available, including Gmail, Outlook, Zoho, and major social platforms such as Twitter and LinkedIn. Instapage - AI Landing Page Generation, Testing, and Personalization This AI tool allows users to generate content variations for landing pages including headlines, paragraphs, and CTAs based on the target audience. You can also conduct A/B testing for more effective and efficient campaigns. Paired with hundreds of professional and cutomizable layouts, Instapage is definitely something I would recommend for entrepreneurs who want to get a high-converting landing page set up quickly and effectively. SaneBox - AI Emails Management If you feel overwhelmed by the sheer volume of emails you receive like myself and many entrepreneurs, this could be something for you. SaneBox’s AI identifies important emails and declutters your inbox, helping you to stay focused on what truly matters. SocialBee - AI Social Media Manager Think of SocialBee as your all-in-one social media command center, powered by AI. You can manage multiple social media accounts from one platform and generate captions with AI as well. SocialBee not only allows you to schedule posts but also helps you analyze growth and engagement with detailed reports. Works well with all social media platforms, including Facebook, Twitter, Instagram, and Linkedin. I believe they also have integrations for TikTok and YouTube, although I haven't tried these personally. MeetGeek - AI Meeting Assistant Lifesaver if you attend a lot of meetings or calls. Great for transcribing, summarizing, and sharing key insights from meetings. The AI also creates meeting highlights, which I've personally fouund quite useful if you ever need to get a very quick and dirty overview of what happened in a call. It also provides analysis (including sentiment evaluation) for meetings. Taskade - AI Productivity Tool for Task Management An all-in-one AI productivity tool. Multiple AI features available, including a chatbot, writing assistant, and workflow creator. It's a great all-around tool for real-time collaboration and efficient task management. Scribe AI (ScribeHow) - AI Documentation Generator Great for any SaaS applications where you need to create resources/documentations/guides for your app. You simply record your process and Scribe generates a written guide for you. Remember, while AI is an excellent assistant, it's also just a tool. The ultimate success of your venture depends on how effectively you leverage these tools. Happy experimenting!

[Ultimate List] A list of Marketing Tools That I’ve tested over the years and found helpful to do better marketing with less work. More than 50 Tools To Help you with Marketing, Copywriting & Sales!

Starting to focus on marketing for your business, You will come across the same tools mentioned over and over by marketers. I would like to mention here tools that you might haven’t seen going viral in the community but actually will help you grow faster and efficiently. Starting off with My favourite Marketing Channel! #Email Marketing For SMBs Convertkit / Mailerlite / Mailchimp - These 3 Platforms are the best options for SMBs and entrepreneurs just starting out with email marketing. All 3 have free plans up to 1,000 subscribers. Scribe - Email Signature Tool, Create Great Email signatures for your emails. Liramail - Most Email marketing platforms don’t offer great email templates. This tool will help you build great email templates with drag and drop. Quick mail Auto-Warmer - Most Businesses at the beginning don’t know what to do when open rate drops. You need to use an email warmer like this to keep it up. #Email Marketing For Big Businesses SendGrid - Overall Email Marketing Tools, this tool is best for brands that have huge email lists and email marketing is the key marketing channel. Braze - This tool is leading in email marketing for large Email senders. When I was working for agencies, this was one of the best email marketing tools I had used. NeoCertified - Protect your emails for spammers and threats. To keep your email list healthy, this is a must have! Sparkloop - Referral Marketing For Email Campaigns. Email can generate great huge amount of referrals for you and Sparkloop makes it easier. #Cold Emails & Lead Generation Hunter - A Great Tool to scrape emails from domain names. The tool comes with a green free plan but Pro plan is worth the amount of features it provides. Icyleads - It’s better than Hunter as it’s heavily focused on the sales and prospecting to help you derive great results from your campaigns. Mailshake - Beginner Friend Cold Email Tool with Great features like email list warming. #Communication Tools Twilio - One do the best customer engagement platform used by Companies like Stripe and mine too. Chatlio - Use Live chat feature on your website with slack integration. My favourite easier to catch up on conversations through slack integration. Intercom - Used by Most Marketers, Industry Leading customer communication platform. Great for beginners! Chatwoot - Another Amazing Communication Tool but the best part is they have a great free plan useful for new businesses. Loom - Communicate with your audience through Videos. Loom is great for SaaS and to show human interaction to close new visitors effectively. #CRM Outseta - This tool provides great CRM and their billing system is better than other tools out their which makes it stands out! Hubspot - I don’t think this tool needs an introduction because Hubspot’s CRM is the best in industry. Salesflare - This CRM is a great alternative to hubspot as it’s beginner friendly and helpful for SMBs. #SEO Tools Ahrefs - One of the best SEO tool in the industry. They also just launched a bunch of free tools to help SEO beginners. Screaming frog - The only website crawler I have used since I bought my first domain. It’s the best! Ubersuggest- The Tool by Neil Patel is the best SEO tool for you. (I’m Joking, it’s the worst) Contentking - This tool is good at Real-time SEO Auditing, they do a lot of Marketing work through Newsletters. If you are subscribed to any SEO newsletter. You may have seen this tool. SEOquake & Semrush - SEOquake is a great tool to conduct on-page analysis, SERP, and much more. Great tool but it’s owned by Semrush. You should go for Semrush because that tool will cover all SEO aspects for you. #Content Marketing Buzzsumo - This tool is great for content research and but you may find the regular emails pretty annoying sometimes. Contentrow - Analyse Your Content and find it’s strength. Highly recommended who are weak at content structuring like me. Grammarly - If you are not a native English speaker like me, you might think you need it or not. You need it for sure for grammar corrections. #Graphic Design Tools Visme - At agencies, Infographics can be more effective than usual postscript. Visme is a graphic design tool focused on infographics and designs related to B2B and B2C. It’s great for agencies! Glorify - A Graphic Design Tool focused on E-commerce, filled with Designs useful for E-commerce store owners. Canva - All-in-one Industry leading Graphic Design Tool that everyone knows and every template is overused now. Adobe Creative Cloud ( previously Sparkpost) - It’s a great alternative to Canva filled with Amazing Stock images to use in your visuals but the only backlash is the exports in this tool are not high quality. Snaps - A Canva Alternative that might not have overused templates for your Social Accounts. #Advertising Tools Plai - It’s a great PPC tool to create Ads for Instagram and Tiktok. Wordstream - It’s an industry leading PPC Tool, great for Ad Grading and auditing. AdEspresso - This Is a tool by Hootsuite. They have a lot of Data sourced at the backend, which helps in Ad optimisation through this tool. That’s the reason I recommend this tool. #Video Editing Tools Veed Studio - I have been using Veed from last year. It’s one of the best Video Marketing Tool Optimized for Instagram & Tiktok. Synthesia - It’s a new AI video generation platform. From last few months, if you have seen marketing agencies including Videos in Emails. The chances are that’s not a Agency member taking but AI generated Human. Motionbox - It’s also a great video editing tool focused on video editing for Digital Marketers. Jitter Video - It’s a great motion design tool. Comes with great templates, the only place where other tools I mentioned lacks. It’s great and beginner friendly. #Copywriting Jasper AI - Google’s John Mueller says AI generated content is banned on Search but I think with Jasper AI you can generate SEO optimised Content but you have to put in some efforts like at least give 30 minutes for editing the Copy by yourself. Copy AI - Another AI tool to help you write better copy. This one is more focused on helping you write copy suitable for Ads and Social media campaigns. Hemingway App - To help you write more clearly and Bold. This tool is better than Grammarly if you look for writing perspective and it’s free. #Social Media Management App I’ve used a Lot of SMM Tools and that’s why going to mention all of them with a short review. Sprout social - The Best with deep insights coverage. Hootsuite - Great Scheduling tool just under sprout social. Later - Heavily Focused on Instagram from beginning and Now Tiktok too. SkedSocial - It’s like a Later alternative with great addition features like link-in-bio. Facebook’s Business Manager- Great but sometimes bugs can make a huge issue for you and customer support is like dead. Tweet Hunter & Hypefury- Both are Twitter Scheduling tools growing very fast on platform and are great for growth. Buffer - It’s a great tool but I haven’t seen any new updates to help with management. Zoho Social - It’s a great SMM tool and if you use other marketing solutions from Zoho. It’s a must have! #Market Research Tool • SparkToro - That’s the only one I have ever used. It’s great for audience research and comes with great customer service. Founded by Rand Fishkin, it’s one of the best research tool. #Influencer Marketing & UGC InfluenceGrid - A free search engine To find Tiktok & Instagram Influencers for your campaigns. Tiktok Creative Center- TikTok’s in-built tool called “Creative Center” is the best to find content trends, audience demographics and much more. Archive - Find Instagram Stories and Posts mentioning Your brands and use them as Ads for your business Marketing. #Landing Page Builders Leadpages - Its a great landing page builder because the integration and drag-and-drop features makes it easier to work with! Cardd co - A Great Landing page builder with easy step up but it lacks the copywriting and tracking features. Instapage - It’s one of the best out and I think the overall product is effective enough to help you stand out with your landing page. Unbounce - It’s a great alternative to Instapage due its well polished landing page templates that might be helpful for you. #Community Building Mighty Networks - A Great Community building platform, and you can also sell courses within the platform. Circle so - A great alternative to Mighty networks focused on Communities specifically. We are currently using for small community Of ours. #Sales Tools Drift - You can get much more out of Drift than just sales tools but The Sales solutions provided in Drift are one of the best. Salesforce - It’s the industry Sales solution provider. A go-to and have various pricing plans making it suitable for majority of SMBs. #Social Proof Tools People don’t have enough time to search across internet to decide to trust you after seeing your Ad first time. That’s what you might be facing too. Here are two tools I absolutely love for social proof! Use Proof - Show Recent Activities occurring on your website and build the trust of your visitors. Testimonial to - Gather Testimonials across Social Media platforms related to your business with this tool. Capture tweets and comments mentioning your brands and mention them. #Analytics Tools Plausible Analytics- A privacy friendly Analytics alternative to Google Analytics if you hate Analytics 4 like me. Mixpanel - Product Analytics and funnel reports better than Google Analytics. #Reddit Marketing Gummysearch- This tool will help To find your target audience on Reddit and interact with them with its help and close your new customers. Howitzer- It’s another pretty similar tool to Gummysearch focused on Reddit cold outreach to get clients and new customers. Both are great but Gummysearch provides better customer support while Howtizer is helpful on a large scale Reddit Marketing. #Text Marketing Klaviyo - It’s an email + SMS marketing tool, it’s taking up space in marketing industry very quickly as an industry leader due to its great integrations but you need to learn the platform usage to maximise the outcome. Cartloop - This tool provides great text marketing solutions with integration with Spotify and other e-commerce marketing tools. Attentive Mobile - This is my favourite Text marketing tool due to the interactive dashboard + they have a library of Text marketing examples to help you out with your campaigns. #Other Tools I have used throughout my journey! Triple Whale - It’s a great E-commerce marketing tools with Triple pixel to help you track your campaigns more efficiently. Fastory - To create well optimized Instagram & Tiktok Stories for your business. Jotform - Online Form Builder with integrations with leading marketing tools. Gated - As an entrepreneur and marketer, you may receive a bunch of unwanted emails. Use Gated to get rid of them and receive useful mails only! ClickUp- The main Tool for Project Management, one of the best and highly recommended. Riverside - Forget Zoom or Google Meet, For your Podcast Interviews and Marketing conferences. You need riverside with great video quality and recording features. Manychat- Automate your Instagram DMs and interact with your followers more efficiently + sell out your products/ services when you are offline. Calendy - To schedule meetings with your ideal clients. ServiceProviderPro - It’s a client portal for SEO & Growing Agencies, very helpful in scaling agencies. SendCheckit - Compare your Email Subject Lines with 100,000+ others in the database for free. Otter AI - Using AI track your meetings more effectively, you can easily edit, annotate and share notes from the meetings. Ryte - Optimise your website User experience with this tool focused on UX aspects + SEO too. PhantomBuster - Scrape LinkedIn Profile and Data from Facebook/LinkedIn groups. I clearly love this tool! #Honourable Mentions Zapier - The Only tool you need to integrate your favourite tool with a new effective tool. Elementor - That’s what I use for web design and it’s great! Marketer Hire - To hire world class marketers to work with you. InShot & Capcut - I create Instagram Reels and TikTok’s and life without these tools isn’t possible. Nira - It’s a great tool to Manage your workspace and this tool has launched many marketing templates in-built helpful for marketers and also entrepreneurs. X - The tool you love that wasn’t mentioned here is valuable and I honour that tool and share that if you would like to! I mean thanks for reading what I have curated all over my life as a marketer. I share 5 Marketing Tools, 5 Marketing Resources and 1 Free Resourceevery week in my newsletter, you can subscribe here to receive that for free. Also, You can read an expanded list of email marketing tools in this Reddit post!

I tested hundreds of marketing tools in the last three years and these 50 made it to the list. I'll sum up my top 50 marketing tools with one or two sentences + give you pricings.

Hey guys, I'm working in a growth marketing agency. Marketing tools are 30% of what we do, so we use them a lot and experiment with the new ones as much as possible. There are thousands of tools and it's easy to get lost, so I wanted to share the tools we use most on a daily basis. And divide the list into 14 categories. I thought this could be handy for Entrepreneurs subreddit. Why adopt tools? I see marketing tools as tireless colleagues. If you can't hire an employee, choosing the right tool can solve your problems, because they Are super cheap. Work 7/24 for you. Don’t make mistakes. Don’t need management. (or needless management) Help you to automate the majority of your lead gen process. Onwards to the list. (With the pricings post ended up quite long, you can find a link in the end if you want to check the prices) Email marketing tools #1 ActiveCampaign is armed with the most complicated email automation features and has the most intuitive user experience. It feels like you already know how to use it. \#2 Autopilot is visual marketing automation and customer journey tool that helps you acquire, nurture based on behaviors, interest etc. #3 Mailjet: This is the tool we use to send out bulky email campaigns such as newsletters. It doesn't have sexy features like others but does its job for a cheap price. Email address finders #4 Skrapp finds email of your contacts by name and company. It also works with LinkedIn Sales Navigator and can extract thousands of emails in bulk + have a browser add-on. #5 Hunter: Similar to Skrapp but doesn't work with LinkedIn Sales Navigator directly. In addition, there are email templates and you can set up email campaigns. Prospecting and outreach tools #6 Prospect combines the personal emails, follow-up calls, other social touches and helps you create multichannel campaigns.  #7 Reply is a more intuitive version of Prospect. It is easy to learn and use; their UX makes you feel good and sufficient.  CRM tools #8 Salesflare helps you to stop managing your data and start managing your customers. Not yet popular as Hubspot and etc but the best solution for smaller B2B businesses. (we're fans) \#9 Hubspot: The most popular CRM for good reason and has a broader product range you can adopt in your next steps. Try this if you have a bulky list of customers because it is free. #10 Pardot: Pardot is by Salesforce, it's armed with features that can close the gap between marketing and sales. Sales Tools #11 Salesforce is the best sales automation and lead management software. It helps you to create complicated segmentations and run, track, analyze campaigns from the same dashboard. #12 LinkedIn Sales Navigator gives you full access to LinkedIn's user database. You can even find a kidnapped CEO if you know how to use it with other marketing automation tools like Skrapp. #13 Pipedrive is a simple tool and excels in one thing. It tracks your leads and tells you when to take the next action. It makes sales easier. #14 Qwilr creates great-looking docs, at speed. You can design perfect proposals, quotes, client updates, and more in a flash. We use it a lot to close deals, it's effective. #15 Crystalknows is an add-on that tells you anyone’s personality on LinkedIn and gives you a detailed approach specific to that person. It's eerily accurate. #16 Leadfeeder shows you the companies that visited your website. Tells how they found you and what they’re interested in. It has a free version. Communication Tools #17 Intercom is a sweet and smart host that welcomes your visitors when you’re not home. It’s one of the best chatbot tools in the market. #18 Drift is famous for its conversational marketing features and more sales-focused than Intercom. #19 Manychat is a chatbot that helps you create high converting Facebook campaigns. #20 Plann3r helps you create your personalized meeting page. You can schedule meetings witch clients, candidates, and prospects. #21 Loom is a video messaging tool, it helps you to be more expressive and create closer relationships. #22 Callpage collects your visitors’ phone number and connects you with them in seconds. No matter where you are. Landing page tools #23 Instapage is the best overall landing page builder. It has a broad range of features and even squirrel can build a compelling landing page with templates. No coding needed. #24 Unbounce can do everything that Instapage does and lets you build a great landing page without a developer. But it's less intuitive. Lead generation / marketing automation tools #25 Phantombuster is by far the most used lead generation software in our tool kit. It extracts data, emails, sends requests, customized messages, and does many things on autopilot in any platform. You can check this, this and this if you want to see it in action. #26 Duxsoup is a Google Chrome add-on and can also automate some of LinkedIn lead generation efforts like Phantombuster. But not works in the cloud. #27 Zapier is a glue that holds all the lead generation tools together. With Zapier, You can connect different marketing tools and no coding required. Conversion rate optimization tools #28 Hotjar tracks what people are doing on your website by recording sessions and capturing mouse movements. Then it gives you a heatmap. #29 UsabilityHub shows your page to a digital crowd and measures the first impressions and helps you to validate your ideas. #30 Optinmonster is a top tier conversion optimization tool. It helps you to capture leads and enables you to increase conversions rates with many features. #31 Notifia is one mega tool of widgets that arms your website with the wildest social proof and lead capturing tactics. #32 Sumo is a much simpler version of Notifia. But Sumo has everything to help you capture leads and build your email lists. Web scrapers #33 Data Miner is a Google Chrome browser extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet. #34 Webscraper does the same thing as Data Miner; however, it is capable of handling more complex tasks. SEO and Content #35 Grammarly: Your English could be your first language and your grammar could be better than Shakespeare. Grammarly still can make your writing better. #36 Hemingwayapp is a copywriting optimization tool that gives you feedback about your copy and improves your readability score, makes your writing bolder and punchier. Free. #37 Ahrefs is an all-rounder search engine optimization tool that helps you with off-page, on-page or technical SEO. #38 SurferSEO makes things easier for your on-page SEO efforts. It’s a tool that analyzes top Google results for specific keywords and gives you a content brief based on that data. Video editing and design tools #39 Canva is a graphic design platform that makes everything easy. It has thousands of templates for anything from Facebook ads, stylish presentations to business cards.  #40 Kapwing is our go-to platform for quick video edits. It works on the browser and can help you to create stylish videos, add subtitles, resize videos, create memes, or remove backgrounds. #41 Animoto can turn your photos and video clip into beautiful video slideshows. It comes handy when you want to create an advertising material but don’t have a budget. Advertising tools #42 AdEspresso lets you create and test multiple ads with few clicks. You can optimize your FB, IG, and Google ads from this tool and measure your ads with in-depth analytics. #43 AdRoll is an AI-driven platform that connects and coordinates marketing efforts across ads, email, and online stores. Other tools #44 Replug helps you to shorten, track, optimize your links with call-to-actions, branded links, and retargeting pixels #45 Draw.io = Mindmaps, schemes, and charts. With Draw.io, you can put your brain in a digital paper in an organized way. #46 Built With is a tool that finds out what websites are built with. So you can see what tools they're using and so on. #47 Typeform can turn data collection into an experience with Typeform. This tool helps you to engage your audience with conversational forms or surveys and help you to collect more data. #48 Livestorm helped us a lot, especially in COVID-19 tiles. It’s a webinar software that works on your browser, mobile, and desktop. #49 Teachable \- If you have an online course idea but hesitating because of the production process, Teachable can help you. It's easy to configure and customizable for your needs. #50 Viral Loops provides a revolutionary referral marketing solution for modern marketers. You can create and run referral campaigns in a few clicks with templates. Remember, most of these tools have a free trial or free version. Going over them one by one can teach you a lot and help you grow your business with less work power in the early stages of your business. I hope you enjoyed the read and can find some tools to make things easier! Let me know about your favorite tools in the comments, so I can try them out. \------ If you want to check the prices and see a broader explanation about the tools, you can go here.

We create AI software and provide AI automation for companies. Here is a list of the best AI tools for sales IMHO

Here are some AI tools that are useful for sales. I tried to touch as many different parts of the sales process so the tools are all quite different but all useful for sales. I tried to include some of the best and underrated AI tools. Most of them are free so check them out if you want. I did not include ChatGPT as it can basically be used for anything with the right prompts. So these tools will be more research-oriented. A quick disclaimer – I work for the company Idealink where we create custom ChatGPT for businesses and other AI products. Apollo AI Seamless AI CoPilot AI Lavender AI Regie AI Gemini Plusdocs Make Midjourney Fireflies AI Apollo AI - Find potential customers Apollo is a platform for sales and business development. It offers a range of tools to find and engage with ideal customers. The platform has an extensive B2B database and features that streamline the sales process from prospecting to closing deals. Key Features: Extensive B2B Database: Apollo boasts a large, accurate database of over 275 million contacts, providing a wealth of potential leads and opportunities for sales teams. Data Enrichment and Lead Insights: The platform offers data enrichment capabilities, ensuring CRM systems are continuously updated with detailed and actionable lead information. AI-Driven Sales Engagement: Apollo's AI technology assists in crafting effective communication and prioritizing high-value leads, enhancing the overall sales engagement process. Comprehensive Sales Tools: The platform provides an integrated suite of tools for email, call, and social media engagement, combined with analytics and automation features to streamline the sales cycle. Tailored Solutions for Teams: Apollo offers customized solutions for different team types, including sales and business development, founders, and marketing teams, addressing specific needs and goals. Seamless AI - Sale process made easier Seamless.AI is an innovative B2B sales lead generation solution that allows sales teams to efficiently connect with their ideal customers. The platform's features provide accurate and up-to-date contact information and integrate easily with existing sales and marketing tools. Key Features: Real-Time Search Engine: Seamless.AI uses AI to scour the web in real time, ensuring the contact information for sales leads is current and accurate. Comprehensive Integration: Easily integrates with popular CRMs and sales tools like Salesforce, HubSpot, and LinkedIn Sales Navigator, enhancing productivity and eliminating manual data entry. Chrome Extension: Enhances web browsing experience for sales teams, allowing them to build lead lists directly from their browser. Pitch Intelligence and Writer: Tools for crafting effective sales messages and marketing content, personalized for each potential customer. Data Enrichment and Autopilot: Keeps customer data current and automates lead-building, supporting consistent lead generation. Buyer Intent Data and Job Changes: Offers insights into potential customers' buying intentions and keeps track of significant job changes within key accounts. CoPilot AI - Helps sales reps manage leads CoPilot AI is an advanced AI-powered sales support platform designed for B2B sales teams and agencies to drive consistent revenue growth. The tool focuses on using LinkedIn for sales prospecting, engagement, and conversion. Key Features: LinkedIn Lead Generation: Targets and automates outreach to high-intent LinkedIn leads, enhancing efficiency and scalability in lead generation. Personalized Messaging Automation: Facilitates sending of personalized, one-click messages at scale, maintaining a human touch in digital interactions. Sales Conversion Insights: Offers tools to understand and adapt to prospects' communication styles, improving the likelihood of conversion. Sales Process Optimization: Provides analytics to evaluate and refine sales strategies, identifying opportunities for improvement in the sales funnel. Industry Versatility: Adapts to diverse industries, offering tailored solutions for B2B sales, marketing, HR, and financial services sectors. Collaborative Team Tools: Enables team synchronization and collaboration, boosting productivity and synergy in sales teams Lavender AI - Email AI assistant Lavender AI is an AI-powered email tool that helps users write better emails. It provides real-time feedback and personalized suggestions to optimize email communication efficiency. Key Features: Email Coaching and Scoring: Lavender evaluates emails using AI and a vast database of email interactions, offering a score and tips for improvement. It identifies factors that might reduce the likelihood of receiving a reply, helping users refine their email content. Personalization Assistant: This feature integrates prospect data directly into the user's email platform, suggesting personalization strategies based on recipient data and personality insights to foster deeper connections. Adaptive Improvement: Lavender's scoring and recommendations evolve in real-time with changing email behaviors and practices, thanks to its generative AI and extensive data analysis, ensuring users always follow the best practices. Data-Driven Managerial Insights: The platform provides managers with valuable insights derived from actual email interactions, aiding them in coaching their teams more effectively based on real performance and communication trends. Broad Integration Capability: Lavender integrates with various email and sales platforms including Gmail, Outlook, and others, making it versatile for different user preferences and workflows. Regie AI - Great for business intelligence Regie.ai simplifies the sales prospecting process for businesses, using GenAI and automation to improve interactions with prospects. The platform offers tools like Auto-Pilot for automatic prospecting and meeting scheduling, Co-Pilot for sales rep support, and integrations with various CRM and sales engagement platforms. It also includes a Chrome Extension and CMS for content management and customization. Key Features: Automated Prospecting with Auto-Pilot: Regie.ai's Auto-Pilot feature autonomously prospects and schedules meetings, using Generative AI for Sales Agents to enhance outbound sales efforts. Audience Discovery and Content Generation: The platform identifies target accounts not in the CRM, generating relevant, on-brand content for each message, thus ensuring efficiency in list building and message personalization. Outbound Prioritization and Dynamic Engagement: It utilizes engagement and intent data to prioritize outreach to in-market prospects and adjust engagement strategies based on buyer responsiveness. Full Funnel Brand Protection and Analytics: Regie.ai ensures consistent use of marketing-approved language in all sales outreach and provides insights into campaign and document performance, thereby safeguarding brand integrity throughout the sales funnel. Gemini - AI powered conversational platform Gemini is a large language model chatbot developed by Google AI. It can generate text, translate languages, write different creative text formats, and answer your questions in an informative way. It is still under development but has learned to perform many kinds of tasks. Key features: Generate different creative text formats of text content (poems, code, scripts, musical pieces, email, letters, etc.) Answer your questions in an informative way, even if they are open ended, challenging, or strange. Translate languages Follow your instructions and complete your requests thoughtfully. Plusdocs (Plus AI) - AI tool for presentations Plus AI is a versatile tool that helps improve presentations and integrates with Slides in a simple and intuitive way. It simplifies slide creation and customization by converting text into slides and utilizing AI for various languages. Key Features: Text-to-Slide Conversion: Plus AI excels in transforming textual content into visually appealing slides, streamlining the presentation creation process. Multilingual AI Support: The tool is equipped to handle various languages, making it adaptable for a global user base. Professional Design Options: Users have access to professionally designed slide layouts, enabling the creation of polished presentations with ease. Customization and AI Design: Plus AI allows for extensive customization, including the use of AI for designing and editing slides, ensuring unique and personalized presentations. Live Snapshots and Templates: The tool offers live snapshots for real-time updates and a wide range of templates for quick and effective slide creation. Make - AI automation Make is a powerful visual platform that allows users to build and automate tasks, workflows, apps, and systems. It offers an intuitive, no-code interface that empowers users across various business functions to design and implement complex processes without the need for developer resources. Key Features: No-Code Visual Workflow Builder: Make's core feature is its user-friendly interface that allows for the creation of intricate workflows without coding expertise, making it accessible to a wide range of users. Extensive App Integration: The platform boasts compatibility with over 1000 apps, facilitating seamless connections and data sharing across diverse tools and systems. Custom Automation Solutions: Make enables personalized automation strategies, fitting various business needs from marketing automation to IT workflow control. Template Library: Users can jumpstart their automation projects with a vast collection of pre-built templates, which are customizable to fit specific workflow requirements. Enterprise-Level Solutions: Make offers advanced options for larger organizations, including enhanced security, single sign-on, custom functions, and dedicated support. Midjourney - Making sales content Midjourney is an AI-based image generation tool that changes the way we visualise and create digital art. It offers a lot of artistic possibilities, allowing users to create stunning images from text prompts. This innovative service caters to artists, designers, and anyone seeking to bring their creative visions to life. Key Features: Advanced AI Image Generation: Midjourney's core strength lies in its powerful AI algorithms, which interpret text prompts to generate detailed, high-quality images. This feature allows users to explore an endless array of visual concepts and styles. User-driven Customization: The tool offers significant control over the image creation process, enabling users to guide the AI with specific instructions, ensuring that the final output aligns closely with their vision. Diverse Artistic Styles: Midjourney can mimic various artistic styles, from classical to contemporary, providing users with a wide range of aesthetic options for their creations. Collaboration and Community Features: The platform fosters a community of users who can share, critique, and collaborate on artistic projects, enriching the creative experience. Fireflies AI - Sales meeting assistant Fireflies.ai is a powerful tool for improving team productivity and efficiency in managing meetings and voice conversations. It offers a range of features to simplify the process of capturing, organizing, and analyzing meeting content. Key Features: Automatic Meeting Transcription: Fireflies.ai can transcribe meetings held on various video-conferencing platforms and dialers. The tool captures both video and audio, providing transcripts quickly and efficiently. AI-Powered Search and Summarization: It allows users to review long meetings in a fraction of the time, highlighting key action items, tasks, and questions. Users can filter and focus on specific topics discussed in meetings. Improved Collaboration: The tool enables adding comments, pins, and reactions to specific conversation parts. Users can create and share soundbites and integrate meeting notes with popular collaboration apps such as Slack, Notion, and Asana. Conversation Intelligence: Fireflies.ai offers insights into meetings by tracking metrics like speaker talk time and sentiment. It helps in coaching team members and improving performance in sales, recruiting, and other internal processes. Workflow Automation: The AI assistant from Fireflies.ai can log call notes and activities in CRMs, create tasks through voice commands, and share meeting recaps instantly across various platforms. Comprehensive Knowledge Base: It compiles all voice conversations into an easily accessible and updatable knowledge base, with features to organize meetings into channels and set custom privacy controls. I’ll keep updating this little guide, so add your comments and I’ll try to add more tools. This is all just a personal opinion, so it’s completely cool if you disagree with it. Btw here is the link to the full blog post about all the AI tools in a bit more depth.

Seeking AI Tools/Advice for Building a Business – Any Recommendations?

Hey all, I’m building a business and want to integrate AI to streamline processes like customer support, marketing, data analysis, and automation. Any recommendations for AI tools you’ve used or found helpful? Looking for advice on what works best, and any potential challenges to be aware of. Thanks in advance!

Is there a need for better tools to securely adopt AI in businesses? (e.g., access controls, data redaction, compliance dashboards)

Hey Reddit, I’ve been thinking a lot about the rise of AI tools like ChatGPT, DeepSeek, and others, and how businesses are struggling to balance the benefits of AI with the risks of sharing sensitive data. Many companies are concerned about employees accidentally leaking proprietary info, violating compliance regulations, or exposing customer data. Do you think there’s a need for tools that help businesses securely adopt AI? For example: Access controls: Restricting who can use AI tools and what data they can access. Data redaction: Automatically masking sensitive info before it’s processed by AI. Compliance dashboards: Tracking AI usage and ensuring adherence to regulations like GDPR, HIPAA, etc. I’m curious: Are you or your company already using tools like this? If so, what’s working (or not working)? What pain points do you face when trying to securely adopt AI? Would you pay for a solution that addresses these challenges? I’m exploring this idea and would love to hear your thoughts, experiences, or suggestions. Thanks in advance!

What are you using for AI Tools to help you work smarter not harder on your business?

Hey everyone! I just finished taking a 3-day course at Harvard that was about AI Learning Tools in Design. I am a heavy ChatGPT/Claude user and have used things like Canva, Notion and such, but I learned more in-depth about these applications: NotebookLM Gamma Invideo ElevenLabs RunwayML LumaLabs I'd love to know what other people are using! I'm a one-woman show getting my app off the ground so I'm super interested to know what you all are using!

Are there any AI tools to enhance sales for service based businesses?

I have a service based business and was wondering if there's any great software / AI tools that can be used for sales and marketing? I do a lot of approaching other businesses, YouTube and Google ads etc. However, these require man hours. I wanted to know if there are any AI tools that have been developed to output the best niche areas to apply sales and marketing tactics to? E.g. You input all the data about your business and it tells you the best areas to apply sales strategies to.

5 no-code tools to build your website fast and easy.

Hey, reddittors👋 Want to build a website but don't know how to code? 🥺 No problem! There are a number of no-code tools available that can help you create a professional-looking website without any coding knowledge. 👇 Carrd Carrd is a free website builder that allows you to create simple, one-page websites, profile pages, portfolios and forms with super-easy-to learn editor. It's a great option for people who want to create a website quickly and easily without having to learn how to code. Carrd has 16 website design elements, such as text, audio, video, images, buttons, tables, galleries, and code embeds that can be used to define the structure of your website. Pros: Easy to use, affordable (free/$19 per year plans), variety of templates, widgets (PayPal, Gumroad, Stripe, Typeform, etc), responsive out of the box, has some basic animations. Cons: Lack of design freedom, hard to build a scalable website, most of the templates looks design outdated, not suitable for blogs and online stores. Best for: Solo entrepreneurs, Artists, Photographers, Copywriters, SMB’s with no design/development background. Framer Primarily aimed at designers, Framer is a no-code tool that let’s you create highly-customized websites that vary from simple landing pages to multi-page company websites. It has all the necessary building blocks and features to create any website your company might need. It’s even has an AI websites builder built in! Pros: Complete design freedom, powerful animation engine, content management system (CMS), Easy to pick up for designers, plenty of learning resources, code embeds, SEO settings, affordable ($19/month), collaboration (you can invite team to work with you on the website simultaneously), library of prebuilt components, Figma-to-Framer plugin that lets you copy-paste designs into Framer with ease. Cons: Learning curve, not the best pick for bulky websites. Best for: Freelance designers & agencies, In-house design teams WordPress WordPress is a free and open-source content management system (CMS). It is the most popular website builder in the world, powering over 455 million websites. It has all features you might need to build a landing page, multi-page website, blogs, ecommerce stores, gated content websites, etc. Pros: Tons of learning materials, highly customizable, SEO-friendly, scalability, lots of plugins and themes, large community Cons: Security vulnerabilities, learning curve, website maintenance required, performance issues, dependency on plugins. Best for: Freelance designers & agencies, In-house design teams, solo entrepreneurs, SMB’s, bloggers. ​ Wix Wix is a popular website builder that has gained immense popularity for its user-friendly interface and a wide range of features designed to cater to both beginners and experienced web creators. Offering an array of customizable templates, drag-and-drop functionality, and an impressive app market, Wix empowers users to bring their online visions to life without requiring extensive technical knowledge. Pros: Easy-to-use, robust learning resources, scalability, huge template library, e-commerce tools, feature-rich (app market, appointment booking, etc) Cons: Limited design flexibility, \\\\not so flexible, websites may be slow, bad customer support, limited SEO features Best for: Freelance designers & agencies, In-house design teams, solo entrepreneurs, SMB’s. ​ Webflow Webflow is a no-code platform that lets you build any type of website visually, from marketing landing pages to multi-page corporate websites, gated content websites, blogs, portfolios, and ecommerce stores. It is a powerful and versatile tool that is suitable for a variety of users, including businesses that care about design and want to move quickly. Pros: Absolute design freedom, Robust learning resources, SEO-friendly, scalability, huge template library, large and supportive community, Integrations, Advanced SEO control, custom code, website export, powerful animation engine and CMS. Cons: learning curve, not for massive ecommerce stores, high pricing, Webflow support. Best for: Freelance designers & agencies, In-house design teams, solo entrepreneurs, SMB’s. ​ Bonus tools: Hubspot landing pages — Marketing-oriented landing page builder. Instapage — Great for businesses that use paid advertising, as it offers A/B testing and heatmaps to help you optimize your landing pages for better results Unicorn Platform — SaaS-oriented landing page builder. \---------- Resume: If you have a budget and need a tool with strong design capabilities, scalability, and speed of build, then Webflow is a good choice. Framer is a great option for teams with a single designer, as it is easy for designers to learn and use. Or try Unicorn Platform, if you're running a SaaS business on your own and tight on a budget. No matter which tool you choose, you can create a well-designed website by using the extensive template library that each tool offers. These templates can be customized to fit your specific needs and branding.

AI Tools for Boosting Content

Testing out some AI tools for content creation, especially on LinkedIn. One of them is Draftly (dot) so , and I have saved a lot of time. But, here are some things I wonder: Do AI tools help keep your content fresh and consistent? How do you balance automation with staying authentic? Have AI tools been helpful for both content creation and engagement? Would love to hear what is working for you.

Automating dev processes with AI tools?

Hey all! Just wanted to know if any of you would recommend any set of AI tools to streamline the development process of launching apps fast. I’m 5 years into web development and am now a project manager, but we mostly do complex software for big clients (those that you work on for about 6 months to a year with a small team) and feel kind of left-out on not using ai tools (we only use cursor). I often have ideas for smaller apps and want to make the whole process more agile and quick for deployment for myself. Interested in building some microsaas. I read a guy that did replit for mvp and exported the code when he had a couple users into his cursor ide locally. I have tested bolt.new and i know how to make openai/chatgpt agents and such, but was wondering how any of you, if any, are doing it? V0 or lovable for UI? Exporting the code? Using supabase or a local db? Do you recycle a next.js boilerplate? What other Saas do you use for streamlining the process? Thanks in advance for any advice guys. I just want to launch a couple of ideas I have quickly.

Best AI tools to help company productivity?

Hey guys! I recently did a big restructuring of my production company and moving away from smaller businesses ad’s and moving up to working with larger marketing agencies. My partner and I are brainstorming ways to automate or at least improve certain parts of our business as we also start to expand our team & to improve ease of labour as our turn around times tend to have to be pretty quick. The main things we’re looking to improve is in: • Sales/out reach strategy: we are constantly reaching out to new agencies in different parts of the world. I am already used to manually making a plan for each company we reach out to but it can be very time consuming. I don’t know if there is even a tool that could help with this haha. Even if it helps with pointers! • Organizing/visualizing spreadsheets: we deal with spreadsheets on what we spend per production and how we distribute our total budget per department. If there is anyway to ease the workflow for our managers and on top of that also allow us to expand easier without having to look for someone who is very efficient on excel or spending more time and money on the training. • Scheduling: We already have so much to organize day per day, im not sure if there is any tool or ai system that could help in regards to scheduling meetings, organizing priorities or even just deadlines for certain projects. Example: we need to schedule everything from pre production deadlines (meetings with talent, agency, and crew) production deadlines, & post production deadlines. I’m sure there is other small things I am missing but those are the three main things! There is just so many things i saw on the internet that are “ai powered” or “ai improved workflow” that all claim are the best or some just use chat gpt so its essentially all the same thing. I thought id ask on here to see if anyone has actually tried and could recommend some ai tools out there! Cheers,

My AI tools system to get things done 5x faster, after trying 100+ AI tools

Sorry for the long post, but I just had to share this with you all. After starting my own business, I realized I needed to get more work done and take my productivity to the next level. A few days ago, I asked people in this community to recommend AI tools, and that kicked off my journey to include as many AI apps in my system as possible. In my quest, I've tried over 100 AI tools to find the best ones. It wasn't easy, but thanks to the awesome suggestions from this community, I finally nailed down a setup that works for me. I am in search of more fun tools, so please share if you have some suggestions. So here's the breakdown of my whole system, totaling $194 per month: Content Creation: Text ($20): I use ChatGPT for brainstorming, content creation, marketing, and even legal work. I've been going back to it more often after their O1-preview. Video ($20): Captions Ai is my go-to for video editing. I mainly use self-recorded videos and auto-edit them with this app. Graphics ($14): I mix Gamma and Canva. I've got Gamma's Plus subscription and Canva's Pro subscription. I start by prompting my requirements in Gamma and then edit them later in Canva. Plus, Canva's templates are super handy for other stuff. Productivity: FastTrackr AI ($20): This AI assistant helps me manage emails, reply to them, set up meetings, prepare for them, transcribe notes on my phone, and even do basic research when I'm on WhatsApp. I'm thinking of upgrading to their Pro plan to add other emails. ARC Browser + Perplexity ($0): I snagged a 6-month deal for Perplexity Pro, which will cost $20 later on, including $5 credit for API. Sana AI ($0): This one's amazing for meeting assistance. I love how it understands context and key action items. Not sure when they'll start charging, but I can't recommend it enough. Wispr Flow ($15): Lets me use my voice to command apps. It's amazing how accurately it picks up complex names. Might save some cash if I switch to the annual plan. Sales and Marketing: Lead Enrichment ($67): I'm using Clay and share it with a friend to cut costs. People say there are other options, but this one's the best despite the learning curve. Instantly AI($37): I've tried other tools for cold emails, but Instantly's warm-up feature is top-notch. For other tasks like social media automation and trigger-based automations, I use a mix of Make and Perplexity APIs ($11). Total Cost: $194 per month. I know hiring someone could help me get more done, but I'm thinking of bringing someone onboard with this system already in place. That way, a new hire could potentially lead to 2x or 3x the work output. Thanks for reading through this! Hope this helps anyone looking to boost their productivity with AI tools. Feel free to ask me anything or share your own experiences! Couldn't add links as this gets flagged by mods.

The 15 Best (Free to Use) AI Tools for Creating Websites, Presentations, Graphics, UIs, Photos, and more

While we wait for ChatGPT to roll out its own official image input+output tool, I wanted to put together a list of the best AI design tools I've seen so far. Obviously text-based tasks like writing and coding get the bulk of the attention, but I wanted to see how it’s being used in design and more visual tasks. From UI and full-on website design, to graphics and photo generation, there are a ton of interesting and free tools coming out that are worth trying and using as inspiration for your own projects. These tools cover a bunch of different use cases and can hopefully help some of you, whether you’re a professional designer looking to automate parts of your work or just someone who wants to find ways to speed up the design work for your business/side projects. All of them are free to try, but most have some kind of paid plan or limit on the number of free generations. Fair enough given it costs money to run the models, but I've tried to include notes on any that don't have permanent free plans. Let me know if you know of any tools I’ve missed so I can add them to the list! I’ve grouped them by categories, to make it easier to see what each tool is capable of, then given a bit more detail under each specific tool. AI Website, Graphic and UI Generators: Framer: Describe the website you want, and Framer will create it for you. Edit and instantly publish your site from their platform. Ironically my favorite thing about Framer isn’t its AI tool. Its real advantage is its website editor which is the best I’ve seen on any platform (and usable for free). It’s like Figma if Figma let you publish directly to the web. Microsoft Designer: Generates designs based on user input for social media posts, logos, and business graphics. It’s free to use with a Microsoft account, and fairly impressive if not always consistent. If you pay a lot or spend a ton of time on design/social media content, Designer is definitely worth checking out. UIzard: Transforms text and images into design mockups, wireframes, and full user interfaces. It’s an ambitious concept, but very cool. While Framer was better for generating websites from text prompts, UIZard offers something none of the others did: taking a sketch drawing and turning it into a UI and/or wireframing. Visualizations, Graphics and Illustrations: Taskade: AI powered productivity tool to visualize your notes, projects, and tasks. Taskade lets you easily generate mind maps and other visualizations of your work, and makes use of AI in a bunch of cool ways. For example, you can generate a mind map to help you brainstorm and then ask it to expand on a certain point or even research it for you with the internet. Bing Image Creator: Generate images from natural text descriptions, powered by DALL-E. Whether you’re looking for blog illustrations, images for your site’s pages or any other purpose, it’s worth trying. AutoDraw: Autodraw is a Google Project that lets you draw something freehand with your cursor, and AutoDraw uses AI to transform it into a refined image with icons and predrawn designs, all for free in your browser. AI Presentations and Slides: Plus AI for Google Slides: AI generated slides and full-on presentations, all within Google Slides. I liked how Plus AI worked within Google Slides and made it easy to make changes to the presentation (as lets be real, no AI tool is going to generate exactly* the content and formatting you need for a serious presentation). SlidesGo: Generate slides with illustrations, images, and icons chosen by AI. SlidesGo also has their own editor to let you edit and refine the AI generated presentation. Tome: Tell Tome what you want to say to your audience, and it will create a presentation that effectively communicates it clearly and effectively. Tome actually goes beyond just presentations and has a few cool formats worth checking out that I could see being useful for salespeople and anyone who needs to pitch an idea or product at work or to clients. Product Photography: These are all fairly similar so I’ve kept the descriptions short, but it’s genuinely a pretty useful category if you run any kind of business or side hustle that needs product photos. These photos establish the professionalism of your store/brand, and all the ones I tried had genuinely impressive results that seemed much better than what I could do myself. Pebblely: AI image generator for product images in various styles and settings. 40 free images, paid after that. Booth.ai: Generates professional-quality product photos using AI, focused on furniture, fashion, and packaged goods. Stylized.ai: Generates product photos integrated into ecommerce platforms like Shopify. Miscellaneous Tools: Fronty: Converts uploaded images or drawings into HTML and CSS code using AI. It’s a bit clunky, but a cool concept nonetheless. LetsEnhance: Uses AI to enhance the resolution of images and photographs. Generally works pretty well from my experience, and gives you 10 free credits with signup. Unfortunately beyond that it is a paid product. Remove.bg: Specializes in recognizing and removing image backgrounds effectively. Doesn’t promise much, but it does the job and doesn’t require you to sign up. TL;DR/Overall favorites: These are the ones I've found the most use for in my day-to-day work. Framer: responsive website design with a full-featured editor to edit and publish your site all in one place. Free + paid plans. Taskade: visualize and automate your workflows, projects, mind maps, and more with AI powered templates. Free + paid plans. Microsoft Designer: generate social media and other marketing graphics with AI. Free to use. Plus AI: plugin for Google Slides to generate slide content, designs, and make tweaks with AI. Free + paid plans. Pebblely: professional-quality product photos in various settings and backgrounds, free to generate up to 40 images* (through you can always sign up for another account…)

The best (actually free to use) AI tools for day-to-day work + productivity

I've spent an ungodly amount of time ~~procrastinating~~ trying tons of new/free AI tools from Reddit and various lists of the best AI tools for different use cases. Frankly, most free AI tools (and even paid ones) are gimmicky ChatGPT wrappers with questionable utility in everyday tasks or overpriced enterprise software that don't use AI as anything more than a marketing buzzword. My last list of free AI tools got a good response here, and I wanted to make another with the best AI tools that I actually use day-to-day now that I've spent more time with them. All these tools can be used for free, though most of them have some kind of premium offering if you need more advanced stuff or a ton of queries. To make it easy to sort through, I've also added whether each tool requires signup. ChatPDF: Free Tool to Use ChatGPT on Your Own Documents/PDFs (free no signup) Put simply, ChatPDF lets you upload any PDF and interact with it like ChatGPT. I heard about this one from my nephew who used it to automatically generate flashcards and explain concepts based on class notes and readings. There are a few similar services out there, but I found ChatPDF the easiest to use of those that don't require payment/signup. If you're a student or someone who needs to read through long PDFs regularly, the possibilities to use this are endless. It's also completely free and doesn't require signup. Key Features: Free to upload up to 3 PDFs daily, with up to 120 pages in each PDF Can be used without signing up at all Taskade: AI Task Management, Scheduling, and Notetaking Tool with GPT-4 Built-In (free with signup) Taskade is an all-in-one notetaking, task management, and scheduling platform with built-in AI workflows and templates. Like Notion, Taskade lets you easily create workspaces, documents, and templates for your workflows. Unlike Notion’s GPT-3 based AI, Taskade has built-in GPT-4 based AI that’s trained to structure your documents, create content, and otherwise help you improve your productivity. Key Features: GPT-4 is built in to their free plan and trained to help with document formatting, scheduling, content creation and answering questions through a chat interface. Its AI seems specifically trained to work seamlessly with your documents and workspaces, and understands queries specific to their interface like asking it to turn (text) notes into a mind map. One of the highest usage limits of the free tools: Taskade’s free plan comes with 1000 monthly requests, which is one of the highest I’ve seen for a tool with built-in GPT-4. Because it’s built into a document editor with database, scheduling and chat capabilities, you can use it for pretty much anything you’d use ChatGPT for but without* paying for ChatGPT Premium. Free templates to get you started with actually integrating AI into your workflows: there are a huge number of genuinely useful free templates for workflows, task management, mind mapping, etc. For example, you can add a project and have Taskade automatically map out and schedule a breakdown of the tasks that make up that overall deliverable. Plus AI for Google Slides: AI-generated (and improved) slide decks (free with signup, addon for Google Slides) I've tried out a bunch of AI presentation/slide generating tools. To be honest, most of them leave a lot to be desired and aren't genuinely useful unless you're literally paid to generate a presentation vaguely related to some topic. Plus AI is a (free!) Google Slides addon that lets you describe the kind of slide deck you're making, then generate and fine-tune it based on your exact needs. It's still not at the point where you can literally just tell it one prompt and get the entire finished product, but it saves a bunch of time getting an initial structure together that you can then perfect. Similarly, if you have existing slides made you can tell it (in natural language) how you want it changed. For example, asking it to change up the layout of text on a page, improve the writing style, or even use external data sources. Key Features: Integrates seamlessly into Google Slides: if you’re already using Slides, using Plus AI is as simple as installing the plugin. Their tutorials are easy to follow and it doesn’t require learning some new slideshow software or interface like some other options. Create and* tweak slides using natural language: Plus AI lets you create whole slideshows, adjust text, or change layouts using natural language. It’s all fairly intuitive and the best of the AI slide tools I’ve tried. FlowGPT: Database of AI prompts and workflows (free without signup-though it pushes you to signup!) FlowGPT collects prompts and collections of prompts to do various tasks, from marketing, productivity, and coding to random stuff people find interesting. It uses an upvote system similar to Reddit that makes it easy to find interesting ways to use ChatGPT. It also lets you search for prompts if you have something in mind and want to see what others have done. It's free and has a lot of cool features like showing you previews of how ChatGPT responds to the prompts. Unfortunately, it's also a bit pushy with getting you to signup, and the design leaves something to be desired, but it's the best of these tools I've found. Key Features: Lots of users that share genuinely useful and interesting prompts Upvote system similar to Reddit’s that allows you to find interesting prompts within the categories you’re interested in Summarize.Tech: AI summaries of YouTube Videos (free no signup) Summarize generates AI summaries of YouTube videos, condensing them into relatively short written notes with timestamps. All the summaries I've seen have been accurate and save significant time. I find it especially useful when looking at longer tutorials where I want to find if: ​ The tutorial actually tells me what I'm looking for, and See where in the video I can find that specific part. The one downside I've seen is that it doesn't work for videos that don't have subtitles, but hopefully, someone can build something with Whisper or a similar audio transcription API to solve that. Claude: ChatGPT Alternative with ~75k Word Limit (free with signup) If you've used ChatGPT, you've probably run into the issue of its (relatively low) token limit. Put simply, it can't handle text longer than a few thousand words. It's the same reason why ChatGPT "forgets" instructions you gave it earlier on in a conversation. Claude solves that, with a \~75,000 word limit that lets you input literal novels and do pretty much everything you can do with ChatGPT. Unfortunately, Claude is currently only free in the US or UK. Claude pitches itself as the "safer" AI, which can make it a pain to use for many use cases, but it's worth trying out and better than ChatGPT for certain tasks. Currently, I'm mainly using it to summarize long documents that ChatGPT literally cannot process as a single prompt. Key Features: Much longer word limit than even ChatGPT’s highest token models Stronger guardrails than ChatGPT: if you're into this, Claude focuses a lot more on "trust and safety" than even ChatGPT does. While an AI telling me what information I can and can't have is more of an annoyance for my use cases, it can be useful if you're building apps like customer support or other use cases where it's a top priority to keep the AI from writing something "surprising." Phind: AI Search Engine That Combines Google with ChatGPT (free no signup) Like a combination of Google and ChatGPT. Like ChatGPT, it can understand complex prompts and give you detailed answers condensing multiple sources. Like Google, it shows you the most up-to-date sources answering your question and has access to everything on the internet in real time (vs. ChatGPT's September 2021 cutoff). Unlike Google, it avoids spammy links that seem to dominate Google nowadays and actually answers your question. Key Features: Accesses the internet to get you real-time information vs. ChatGPT’s 2021 cutoff. While ChatGPT is great for content generation and other tasks that you don’t really need live information for, it can’t get you any information from past its cutoff point. Provides actual sources for its claims, helping you dive deeper into any specific points and avoid hallucinations. Phind was the first to combine the best of both worlds between Google and ChatGPT, giving you easy access to actual sources the way Google does while summarizing relevant results the way ChatGPT does. It’s still one of the best places for that, especially if you have technical questions. Bing AI: ChatGPT Alternative Based on GPT-4 (with internet access!) (free no signup) For all the hate Bing gets, they've done the best job of all the major search engines of integrating AI chat to answer questions. Bing's Chat AI is very similar to ChatGPT (it's based on GPT-4). Unlike ChatGPT's base model without plugins, it has access to the internet. It also doesn't require signing in, which is nice. At the risk of sounding like a broken record, Google has really dropped the ball lately in delivering non-spammy search results that actually answer the query, and it's nice to see other search engines like Bing and Phind providing alternatives. Key Features: Similar to Phind, though arguably a bit better for non-technical questions: Bing similarly provides sourced summaries, generates content and otherwise integrates AI and search nicely. Built on top of GPT-4: like Taskade, Bing has confirmed they use GPT-4. That makes it another nice option to get around paying for GPT-4 while still getting much of the same capabilities as ChatGPT. Seamless integration with a standard search engine that’s much better than I remember it being (when it was more of a joke than anything) Honorable Mentions: These are the “rest of the best” free AI tools I've found that are simpler/don't need a whole entry to explain: PdfGPT: Alternative to ChatPDF that also uses AI to summarize and let you interact with PDF documents. Nice to have options if you run into one site’s PDF or page limit and don’t want to pay to do so. Remove.bg: One of the few image AI tools I use regularly. Remove.bg uses simple AI to remove backgrounds from your images. It's very simple, but something I end up doing surprisingly often editing product images, etc. CopyAI and Jasper: both are AI writing tools primarily built for website marketing/blog content. I've tried both but don't use them enough regularly to be able to recommend one over the other. Worth trying if you do a lot of content writing and want to automate parts of it. Let me know if you guys recommend any other free AI tools that you use day-to-day and I can add them to the list. I’m also interested in any requests you guys have for AI tools that don’t exist yet, as I’m looking for new projects to work on at the moment! TL;DR: ChatPDF: Interact with any PDF using ChatGPT without signing up, great for students and anyone who needs to filter through long PDFs. Taskade: All-in-one task management, scheduling, and notetaking with built-in GPT-4 Chat + AI assistant for improving productivity. Plus AI for Google Slides: Addon for Google Slides that generates and fine-tunes slide decks based on your description(s) in natural language. FlowGPT: Database of AI prompts and workflows. Nice resource to find interesting ChatGPT prompts. Summarize.Tech: AI summaries of YouTube videos with timestamps that makes it easier to find relevant information in longer videos. Claude: ChatGPT alternative with a \~75k word limit, ideal for handling long documents and tasks that go above ChatGPT's token limit. Phind: AI search engine similar to a combination of Google and ChatGPT. Built in internet access and links/citations for its claims. Bing AI: Bing's ChatGPT alternative based on GPT-4. Has real-time internet access + integrates nicely with their normal search engine.

As a soloproneur, here is how I'm scaling with AI and GPT-based tools

Being a solopreneur has its fair share of challenges. Currently I've got businesses in ecommerce, agency work, and affiliate marketing, and one undeniable truth remains: to truly scale by yourself, you need more than just sheer will. That's where I feel technology, especially AI, steps in. As such, I wanted some AI tools that have genuinely made a difference in my own work as a solo business operator. No fluff, just tried-and-true tools and platforms that have worked for me. The ability for me to scale alone with AI tools that take advantage of GPT in one way, or another has been significant and really changed my game over the past year. They bring in an element of adaptability and intelligence and work right alongside “traditional automation”. Whether you're new to this or looking to optimize your current setup, I hope this post helps. FYI I used multiple prompts with GPT-4 to draft this using my personal notes. Plus AI (add-on for google slides/docs) I handle a lot of sales calls and demos for my AI automation agency. As I’m providing a custom service rather than a product, every client has different pain points and as such I need to make a new slide deck each time. And making slides used to be a huge PITA and pretty much the bane of my existence until slide deck generators using GPT came out. My favorite so far has been PlusAI, which works as a plugin for Google Slides. You pretty much give it a rough idea, or some key points and it creates some slides right within Google Slides. For me, I’ve been pasting the website copy or any information on my client, then telling PlusAI the service I want to propose. After the slides are made, you have a lot of leeway to edit the slides again with AI, compared to other slide generators out there. With 'Remix', I can switch up layouts if something feels off, and 'Rewrite' is there to gently nudge the AI in a different direction if I ever need it to. It's definitely given me a bit of breathing space in a schedule that often feels suffocating. echo.win (web-based app) As a solopreneur, I'm constantly juggling roles. Managing incoming calls can be particularly challenging. Echo.win, a modern call management platform, has become a game-changer for my business. It's like having a 24/7 personal assistant. Its advanced AI understands and responds to queries in a remarkably human way, freeing up my time. A standout feature is the Scenario Builder, allowing me to create personalized conversation flows. Live transcripts and in-depth analytics help me make data-driven decisions. The platform is scalable, handling multiple simultaneous calls and improving customer satisfaction. Automatic contact updates ensure I never miss an important call. Echo.win's pricing is reasonable, offering a personalized business number, AI agents, unlimited scenarios, live transcripts, and 100 answered call minutes per month. Extra minutes are available at a nominal cost. Echo.win has revolutionized my call management. It's a comprehensive, no-code platform that ensures my customers are always heard and never missed MindStudio by YouAi (web app/GUI) I work with numerous clients in my AI agency, and a recurring task is creating chatbots and demo apps tailored to their specific needs and connected to their knowledge base/data sources. Typically, I would make production builds from scratch with libraries such as LangChain/LlamaIndex, however it’s quite cumbersome to do this for free demos. As each client has unique requirements, it means I'm often creating something from scratch. For this, I’ve been using MindStudio (by YouAi) to quickly come up with the first iteration of my app. It supports multiple AI models (GPT, Claude, Llama), let’s you upload custom data sources via multiple formats (PDF, CSV, Excel, TXT, Docx, and HTML), allows for custom flows and rules, and lets you to quickly publish your apps. If you are in their developer program, YouAi has built-in payment infrastructure to charge your users for using your app. Unlike many of the other AI builders I’ve tried, MindStudio basically lets me dictate every step of the AI interaction at a high level, while at the same time simplifying the behind-the-scenes work. Just like how you'd sketch an outline or jot down main points, you start with a scaffold or decide to "remix" an existing AI, and it will open up the IDE. I often find myself importing client data or specific project details, and then laying out the kind of app or chatbot I'm looking to prototype. And once you've got your prototype you can customize the app as much as you want. LLamaIndex (Python framework) As mentioned before, in my AI agency, I frequently create chatbots and apps for clients, tailored to their specific needs and connected to their data sources. LlamaIndex, a data framework for LLM applications, has been a game-changer in this process. It allows me to ingest, structure, and access private or domain-specific data. The major difference over LangChain is I feel like LlamaIndex does high level abstraction much better.. Where LangChain unnecessarily abstracts the simplest logic, LlamaIndex actually has clear benefits when it comes to integrating your data with LLMs- it comes with data connectors that ingest data from various sources and formats, data indexes that structure data for easy consumption by LLMs, and engines that provide natural language access to data. It also includes data agents, LLM-powered knowledge workers augmented by tools, and application integrations that tie LlamaIndex back into the rest of the ecosystem. LlamaIndex is user-friendly, allowing beginners to use it with just five lines of code, while advanced users can customize and extend any module to fit their needs. To be completely honest, to me it’s more than a tool- at its heart it’s a framework that ensures seamless integration of LLMs with data sources while allowing for complete flexibility compared to no-code tools. GoCharlie (web app) GoCharlie, the first AI Agent product for content creation, has been a game-changer for my business. Powered by a proprietary LLM called Charlie, it's capable of handling multi-input/multi-output tasks. GoCharlie's capabilities are vast, including content repurposing, image generation in 4K and 8K for various aspect ratios, SEO-optimized blog creation, fact-checking, web research, and stock photo and GIF pull-ins. It also offers audio transcriptions for uploaded audio/video files and YouTube URLs, web scraping capabilities, and translation. One standout feature is its multiple input capability, where I can attach a file (like a brand brief from a client) and instruct it to create a social media campaign using brand guidelines. It considers the file, prompt, and website, and produces multiple outputs for each channel, each of which can be edited separately. Its multi-output feature allows me to write a prompt and receive a response, which can then be edited further using AI. Overall, very satisfied with GoCharlie and in my opinion it really presents itself as an effective alternative to GPT based tools. ProfilePro (chrome extension) As someone overseeing multiple Google Business Profiles (GBPs) for my various businesses, I’ve been using ProfilePro by Merchynt. This tool stood out with its ability to auto-generate SEO-optimized content like review responses and business updates based on minimal business input. It works as a Chrome extension, and offers suggestions for responses automatically on your GBP, with multiple options for the tone it will write in. As a plus, it can generate AI images for Google posts, and offer suggestions for services and service/product descriptions. While it streamlines many GBP tasks, it still allows room for personal adjustments and refinements, offering a balance between automation and individual touch. And if you are like me and don't have dedicated SEO experience, it can handle ongoing optimization tasks to help boost visibility and drive more customers to profiles through Google Maps and Search

Is striking a balance between learning Python for AI tools creation and pursuing filmmaking/editing a realistic goal?

I've been drawn into the world of AI and automation and want to harness it for tool creation as I get lots of ideas and see the value in learning Python for that, even if I learn no code tools as python help with advanced functions I heard? (I’m totally not a coder) But I also have other interests like designing life management systems like in Notion, also really want to learn filmmaking and editing That being said, Is it possible to learn python and AI tool building without having it take most of my time? Is it realistic for it to be on the side while I pursue these other interests? I know notion and designing systems can be related and work side by side to tool building, but what if I don’t really wanna be a coder and spend all my time doing that? 😔

Steep Learning : How I Mapped approximately 10K AI tools to 15K Replaceable Tasks across 4K professions

Hello Everyone , I would like to share some knowledge today which I went towards countless hours to do . I founded a portal called Seekme.ai, a comprehensive platform that houses over 10,000 AI tools and resources. Today, I'm excited to share with you an insightful and enlightening journey of how I mapped these tools to 15,000 tasks across 4,000 professions. This process, which I've named "Learn by Doing," got me the power of determination, collaboration, and adaptability. The Idea: It all started when I recognized the need for a more efficient and accessible way for professionals to understand which AI tools could help them automate their tasks. The traditional approach of manually researching and testing each AI tool for every profession was time-consuming and inefficient. I envisioned a solution that could streamline this process, making AI adoption easier and more accessible for a broader audience. The Planning: To begin, we needed a clear understanding of the task landscape across various professions. With the help of some Reddit communities , we embarked on an extensive study of common tasks in various industries. We utilized various sources, including government reports, industry surveys, and academic research, to create a comprehensive list of tasks. The result was an impressive list of 15,000 tasks. The Mapping: With the list of tasks in hand, the next step was to identify which AI tools could perform these tasks. I meticulously researched and analyzed each AI tool's capabilities and features. We cross-referenced this information with the tasks I had identified and created a mapping between the two. The process involved a significant amount of collaboration and refinement, as we continually updated and expanded our database of AI tools and tasks. The Challenges: The mapping process was not without its challenges. One of the primary obstacles was ensuring the accuracy and completeness of our data. To address this issue, I implemented a rigorous quality control process that included multiple rounds of checks and validations.I also established partnerships with industry experts and AI vendors to ensure our data was up-to-date and accurate. There is also a challenge that I faced was what is the quality of the tools which is the problem and how do I rank multiple tools if they do the same tasks without user feedback The Results: After months of hard work and dedication, I successfully mapped 10,000 AI tools to 15,000 tasks across 4,000 professions. Our new feature, AI by Profession, was born. This innovative will allow users to quickly and easily identify the AI tools that can automate tasks in their profession, making AI adoption more accessible and efficient than ever before. The Impact: The impact of this project has been significant. By making it easier for professionals to identify AI tools that can automate tasks in their industry, we're helping to drive productivity, efficiency, and innovation. Our users are saving time and resources by not having to manually research and test AI tools. Furthermore, we're contributing to the broader goal of democratizing AI and making it accessible to a broader audience. But there is a still an issue we face of ranking tools who does the similar job. For instance for content creation there 10 tools that can do same video editing so how do we rank it . We are planning to add categories to this to make it more exhaustive Conclusion: The journey to mapping 10,000 AI tools for 15,000 tasks across 4,000 professions was a challenging and rewarding experience. It required a significant amount of planning, determination, and collaboration, but the end result was a powerful tool that's making a difference in the lives of professionals around the world. I don’t know yet how useful it is yet for users So I am inviting you all to see if this feature can help you better equip yourself on the new wave and do things better. I am always up for a chat on anything AI and provide my help if needed. Looking forward to some feedback aswell

I’m curious,what tools or strategies do you all use for lead generation?

Hey everyone, I wanted to share how I’ve been improving my email outreach over the past few months. Finding the right leads for outreach can be challenging, especially when you’re working with a specific niche. Early on, I was using a tool that provided leads, but I quickly realized that many of the leads weren’t really a good fit for what I offer. While it gave me a lot of contacts, they weren’t always in the right industry or at the right job level. To solve this, I started using a combination of tools: WarpLeads to export unlimited leads and Apollo for more targeted searches. By using Apollo, I was able to focus on the specific roles and industries that were more likely to convert into customers. After I had the leads, I made sure to verify their emails with Reoon, which helped clean up the list and improved my email deliverability. Since making these changes, my email engagement has gone up, and I’ve closed 3 new deals that I wouldn’t have landed without a more targeted approach. It's been a huge improvement overall. I’m curious,what tools or strategies do you all use for lead generation? Any tips you’ve found helpful?

Steep Learning : How I Mapped approximately 10K AI tools to 15K Replaceable Tasks across 4K professions

Hello Everyone , I would like to share some knowledge today which I went towards countless hours to do . I founded a portal called Seekme.ai, a comprehensive platform that houses over 10,000 AI tools and resources. Today, I'm excited to share with you an insightful and enlightening journey of how I mapped these tools to 15,000 tasks across 4,000 professions. This process, which I've named "Learn by Doing," got me the power of determination, collaboration, and adaptability. The Idea: It all started when I recognized the need for a more efficient and accessible way for professionals to understand which AI tools could help them automate their tasks. The traditional approach of manually researching and testing each AI tool for every profession was time-consuming and inefficient. I envisioned a solution that could streamline this process, making AI adoption easier and more accessible for a broader audience. The Planning: To begin, we needed a clear understanding of the task landscape across various professions. With the help of some Reddit communities , we embarked on an extensive study of common tasks in various industries. We utilized various sources, including government reports, industry surveys, and academic research, to create a comprehensive list of tasks. The result was an impressive list of 15,000 tasks. The Mapping: With the list of tasks in hand, the next step was to identify which AI tools could perform these tasks. I meticulously researched and analyzed each AI tool's capabilities and features. We cross-referenced this information with the tasks I had identified and created a mapping between the two. The process involved a significant amount of collaboration and refinement, as we continually updated and expanded our database of AI tools and tasks. The Challenges: The mapping process was not without its challenges. One of the primary obstacles was ensuring the accuracy and completeness of our data. To address this issue, I implemented a rigorous quality control process that included multiple rounds of checks and validations.I also established partnerships with industry experts and AI vendors to ensure our data was up-to-date and accurate. There is also a challenge that I faced was what is the quality of the tools which is the problem and how do I rank multiple tools if they do the same tasks without user feedback The Results: After months of hard work and dedication, I successfully mapped 10,000 AI tools to 15,000 tasks across 4,000 professions. Our new feature, AI by Profession, was born. This innovative will allow users to quickly and easily identify the AI tools that can automate tasks in their profession, making AI adoption more accessible and efficient than ever before. The Impact: The impact of this project has been significant. By making it easier for professionals to identify AI tools that can automate tasks in their industry, we're helping to drive productivity, efficiency, and innovation. Our users are saving time and resources by not having to manually research and test AI tools. Furthermore, we're contributing to the broader goal of democratizing AI and making it accessible to a broader audience. But there is a still an issue we face of ranking tools who does the similar job. For instance for content creation there 10 tools that can do same video editing so how do we rank it . We are planning to add categories to this to make it more exhaustive Conclusion: The journey to mapping 10,000 AI tools for 15,000 tasks across 4,000 professions was a challenging and rewarding experience. It required a significant amount of planning, determination, and collaboration, but the end result was a powerful tool that's making a difference in the lives of professionals around the world. I don’t know yet how useful it is yet for users So I am inviting you all to see if this feature can help you better equip yourself on the new wave and do things better. I am always up for a chat on anything AI and provide my help if needed. Looking forward to some feedback aswell

Is striking a balance between learning Python for AI tools creation and pursuing filmmaking/editing a realistic goal?

I've been drawn into the world of AI and automation and want to harness it for tool creation as I get lots of ideas and see the value in learning Python for that, even if I learn no code tools as python help with advanced functions I heard? (I’m totally not a coder) But I also have other interests like designing life management systems like in Notion, also really want to learn filmmaking and editing That being said, Is it possible to learn python and AI tool building without having it take most of my time? Is it realistic for it to be on the side while I pursue these other interests? I know notion and designing systems can be related and work side by side to tool building, but what if I don’t really wanna be a coder and spend all my time doing that? 😔

The Lazy Entrepreneur s Guide to AI 5 Tools to Run Your Business on Autopilot

Want to run your business on autopilot and escape the 24 7 grind AI is the lazy entrepreneur s secret weapon In this video discover five game changing AI tools to automate work save time and boost profits

The Best AI Tools for Entrepreneurs Startups

Discover the best AI tools for entrepreneurs and startups to boost productivity efficiency and innovation

Best AI tools for business efficiency in 2025

Looking for smart ways to bring AI into the workplace We picked the best AI tools for businesses that improve your productivity and efficiency to the next level

15 Free AI Tools for Entrepreneurs

As an entrepreneur you may not have access to expensive tools to help you manage your business You ve likely heard of AI artificial intelligence and wondered how you can use it to accelerate your business

AI For Small Business Tools and Best Practices

Looking for help choosing the right AI tools for your SMB We ve got you covered

How Small Businesses Can Use AI Tools

Small businesses can use AI tools to automate tasks gain insights and make better decisions

5 Small Businesses Tasks That Can Be Done By Artificial Intelligence Tools

Chatbots machine learning and automation tools can all help your team work more productively and boost morale

AI Tool To Take Meeting Minutes shorts aitools

AI Tool To Take Meeting Minutes shorts aitools by The AI Entrepreneurs 186 views 1 year ago 27 seconds

Top AI Tools for Business

Discover the best AI tools for business and learn how to implement them to boost productivity and efficiency

Top 20 AI Tools Every Entrepreneur Should Know About

In the fast paced world of entrepreneurship leveraging the power of artificial intelligence AI can be a game changer AI tools can streamline operations enhance decision making and give your startup a competitive edge

Awesome-Ai-Tools

Awesome-Ai-Tools This repo contains AI tools that will help you achieve your goals. The tools are categorized into different sections based on their functionality. Contents Awesome-Ai-Tools Contents Productivity Time Management Task Management Email Management Creativity Art Music Writing Communication Writing Personality Analysis Translation Data Science Machine Learning Data Analysis Data Visualization Natural Language Processing Text Classification Named Entity Recognition Computer Vision Image Classification Object Detection Robotics Robot Simulation Robot Control Miscellaneous Language Models Generative Models Productivity If you're looking to boost your productivity, there are a number of AI tools that can help. Time Management RescueTime - RescueTime is an AI-powered time tracking tool that helps you understand how you're spending your time on your computer. It can help you identify areas where you're wasting time and make adjustments to your workflow to be more productive. Focus@Will - Focus@Will is an AI-powered music service that helps you stay focused and productive while you work. It uses neuroscience to create music that is scientifically optimized to help you concentrate. Clockify - Clockify is an AI-powered time tracking tool that helps you track your time across different projects and tasks. It can help you identify areas where you're spending too much time and make adjustments to your workflow to be more productive. Trello - Trello is an AI-powered task management tool that helps you stay organized and on top of your to-do list. It can help you prioritize tasks, set deadlines, and even collaborate with others on projects. Motion - Motion is an AI-powered calendar and task management tool that automatically schedules your tasks and meetings for optimal productivity. Reclaim.ai - Reclaim is an intelligent calendar assistant that helps you protect your time by automatically scheduling meetings and tasks. Task Management Todoist - Todoist is an AI-powered task management tool that helps you stay organized and on top of your to-do list. It can help you prioritize tasks, set deadlines, and even suggest tasks based on your previous activity. Asana - Asana is an AI-powered task management tool that helps you stay organized and on top of your to-do list. It can help you prioritize tasks, set deadlines, and even collaborate with others on projects. Notion - Notion is an AI-powered productivity tool that can help you manage tasks, take notes, and collaborate with others on projects. It can also be used to create wikis, databases, and other types of content. Taskade - Taskade is an AI-powered productivity tool that can manage tasks and notes for individuals and teams. ClickUp - ClickUp is an AI-enhanced project management tool that helps teams organize work with automated task distributions and smart notifications. Monday.com - Monday.com uses AI to streamline workflow management and automate routine tasks. Email Management Boomerang - Boomerang is an AI-powered email management tool that helps you manage your inbox more efficiently. It can help you schedule emails to be sent later, remind you to follow up on emails, and even suggest responses to emails. SaneBox - SaneBox is an AI-powered email management tool that helps you manage your inbox more efficiently. It can help you prioritize emails, unsubscribe from unwanted emails, and even snooze emails to be dealt with later. Mailstrom - Mailstrom is an AI-powered email management tool that helps you clean up your inbox. It can help you quickly identify and delete unwanted emails, and even unsubscribe from newsletters and other types of email subscriptions. Creativity If you're looking to get more creative, there are a number of AI tools that can help. Art Artbreeder - Artbreeder is an AI-powered tool that allows you to create unique digital art by combining different images and styles. Runway ML - Runway is an AI-powered tool that allows users to edit and generate videos using natural language descriptions. Prisma - Prisma is an AI-powered tool that allows you to transform your photos into works of art using neural networks. Music AIVA - AIVA is an AI-powered music composition tool that can help you create original music for your projects. Writing monica - Monica is a chrome extension powered by ChatGPT API. It is designed to be your personal AI assistant for effortless chatting and copywriting. CopyAI - CopyAI is an AI-powered writing assistant that can help you generate high-quality marketing copy, product descriptions, and more. Grammarly - Grammarly is an AI-powered writing assistant that helps you catch grammar and spelling errors in your writing. It can also suggest improvements to your writing style to help you communicate more effectively. Jasper - Jasper is an AI writing assistant that helps create marketing copy, blog posts, and social media content. Rytr - Rytr is an AI writing tool that helps generate content in different tones and styles. Communication If you're looking to improve your communication skills, there are a number of AI tools that can help. Writing Linguix - Linguix is an AI-powered writing assistant that can help you improve your writing skills. It can catch grammar and spelling errors, suggest improvements to your writing style, and even help you avoid plagiarism. Hemingway Editor - Hemingway Editor is an AI-powered writing tool that helps you simplify your writing and make it more readable. It can help you identify complex sentences, passive voice, and other issues that can make your writing difficult to understand. Personality Analysis Crystal - Crystal is an AI-powered tool that helps you understand the personality of the people you're communicating with. It can provide insights into their communication style and suggest ways to communicate more effectively with them. IBM Watson Personality Insights - IBM Watson Personality Insights is a tool that uses natural language processing and machine learning algorithms to analyze text and provide insights into the personality traits of the author. Translation DeepL - DeepL is an AI-powered translation tool that provides high-quality translations in multiple languages. It uses neural network algorithms to provide more accurate translations than traditional translation tools. Google Translate - Google Translate is a free online translation tool that uses machine learning algorithms to provide translations in over 100 languages. Data Science If you're working with data, there are a number of AI tools that can help you analyze and make sense of it. Machine Learning DataRobot - DataRobot is an AI-powered platform that helps you build and deploy machine learning models. It can help you automate the process of building models and make predictions based on your data. TensorFlow - TensorFlow is an open-source machine learning framework developed by Google. It can help you build and train machine learning models for a variety of applications. PyTorch - PyTorch is another open-source machine learning framework that is popular among researchers and developers. It is known for its ease of use and flexibility. H2O.ai - H2O.ai is an open-source machine learning platform that allows you to build and deploy machine learning models at scale. PyTorch3d - Pytorch 3d is an open-source library for deep learning with 3d data. Auto-sklearn - Auto-sklearn is an automated machine learning toolkit that helps find the best machine learning pipeline for your dataset. Ludwig - Ludwig is a declarative machine learning framework that makes it easy to build and train models without writing code. Data Analysis Pandas - Pandas is an open-source data analysis library for Python. It can help you manipulate and analyze data in a variety of formats, including CSV, Excel, and SQL databases. RapidMiner - RapidMiner is an AI-powered data science platform that allows you to build and deploy predictive models without writing any code. Apache Spark - Apache Spark is an open-source big data processing framework that can help you analyze large datasets in a distributed computing environment. Data Visualization Tableau - Tableau is a data visualization tool that uses AI to help you explore and understand your data. It can help you identify patterns and trends in your data that might not be immediately obvious. Plotly - Plotly is an open-source data visualization library for Python. It can help you create interactive charts and graphs that can be embedded in web pages and other applications. D3.js - D3.js is a JavaScript library for data visualization that allows you to create dynamic and interactive visualizations using web standards like HTML, CSS, and SVG. Natural Language Processing If you're interested in natural language processing, there are a number of AI tools that can help you get started. Text Classification TextBlob - TextBlob is an open-source library for processing textual data in Python. It can help you perform tasks like sentiment analysis, part-of-speech tagging, and text classification. NLTK - NLTK (Natural Language Toolkit) is another open-source library for natural language processing in Python. It can help you perform tasks like tokenization, stemming, and named entity recognition. Amazon Comprehend - Amazon Comprehend is a natural language processing service that uses machine learning to analyze text and provide insights into the content and sentiment of the text. Named Entity Recognition spaCy - spaCy is an open-source library for advanced natural language processing in Python. It can help you build applications that can understand and analyze human language. One of its key features is named entity recognition, which can identify and classify entities like people, organizations, and locations. Google Cloud Natural Language API - Google Cloud Natural Language API is a natural language processing service that can analyze text and provide insights into the sentiment, entities, and syntax of the text. Computer Vision If you're interested in computer vision, there are a number of AI tools that can help you get started. Image Classification Clarifai - Clarifai is an AI-powered image recognition tool that can help you classify images based on their content. It can recognize objects, scenes, and even specific concepts like emotions and colors. Google Cloud Vision API - Google Cloud Vision API is a computer vision service that can analyze images and provide insights into the content of the images, including objects, faces, and text. Object Detection YOLO - YOLO (You Only Look Once) is an open-source object detection system that can detect objects in real-time video streams. It is known for its speed and accuracy. Amazon Rekognition - Amazon Rekognition is a computer vision service that can analyze images and videos and provide insights into the content of the media, including objects, faces, and text. Robotics If you're interested in robotics, there are a number of AI tools that can help you get started. Robot Simulation Gazebo - Gazebo is an open-source robot simulation tool that allows you to simulate robots in a virtual environment. It can help you test and debug your robot control algorithms before deploying them on a physical robot. Webots - Webots is another open-source robot simulation tool that allows you to simulate robots in a virtual environment. It supports a wide range of robots and sensors, and can be used for both research and education. Robot Control ROS - ROS (Robot Operating System) is an open-source framework for building robotics software. It can help you build and control robots using a variety of programming languages. Miscellaneous If you're looking for AI tools that don't fit into any of the above categories, here are a few to check out: Language Models GPT-3 - GPT-3 is an AI-powered language model developed by OpenAI. It can generate human-like text, answer questions, and even write code. BERT - BERT is a language model developed by Google AI. It is trained on a massive dataset of text and code, and can be used for a variety of tasks, including natural language understanding, question answering, and text classification. LLama 2 - LLama 2 models are a collection of pretrained and fine-tuned large language models developed and released by Meta AI . These models are built upon the success of LLama 1 and provide significant improvements, including a larger scale and more extensive context. Claude - Claude is an AI assistant developed by Anthropic that excels at analysis, writing, and coding tasks. PaLM 2 - PaLM 2 is Google's next-generation language model with improved multilingual, reasoning, and coding capabilities. Generative Models StyleGAN - StyleGAN is an AI-powered generative model that can create high-quality images of faces, animals, and other objects. It is known for its ability to create realistic and diverse images. Generative Pre-trained Transformer 3 (GPT-3) - GPT-3 is an AI-powered language model developed by OpenAI. It can generate human-like text, answer questions, and even write code.

internet-tools-collection

Internet Tools Collection A collection of tools, website and AI for entrepreneurs, web designers, programmers and for everyone else. Content by category Artificial Intelligence Developers Design Entrepreneur Video Editing Stock videos Stock Photos Stock music Search Engine Optimization Blog Posts Resume Interviews No code website builder No code game builder Side Hustle Browser Extensions Other Students Artificial Intelligence Jasper - The Best AI Writing Assistant [](https://www.jasper.ai/) Create content 5x faster with artificial intelligence. Jasper is the highest quality AI copywriting tool with over 3,000 5-star reviews. Best for writing blog posts, social media content, and marketing copy. AutoDraw [](https://www.autodraw.com/) Fast drawing for everyone. AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast. Rytr - Best AI Writer, Content Generator & Writing Assistant [](https://rytr.me/) Rytr is an AI writing assistant that helps you create high-quality content, in just a few seconds, at a fraction of the cost! Neevo - Neevo [](https://www.neevo.ai/) Kinetix Tech [](https://kinetix.tech/) Kinetix is a no-code 3D creation tool powered by Artificial Intelligence. The web-based platform leverages AI motion capture to convert a video into a 3D animation and lets you customize your avatars and environments. We make 3D animation accessible to every creator so they can create engaging stories. LALAL.AI: 100% AI-Powered Vocal and Instrumental Tracks Remover [](https://www.lalal.ai/) Split vocal and instrumental tracks quickly and accurately with LALAL.AI. Upload any audio file and receive high-quality extracted tracks in a few seconds. Copy.ai: Write better marketing copy and content with AI [](https://www.copy.ai/) Get great copy that sells. Copy.ai is an AI-powered copywriter that generates high-quality copy for your business. Get started for free, no credit card required! Marketing simplified! OpenAI [](https://openai.com/) OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. DALL·E 2 [](https://openai.com/dall-e-2/) DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language. Steve.ai - World’s fastest way to create Videos [](https://www.steve.ai/) Steve.AI is an online Video making software that helps anyone to create Videos and animations in seconds. Octie.ai - Your A.I. ecommerce marketing assistant [](https://octie.ai/) Write emails, product descriptions, and more, with A.I. Created by Octane AI. hypnogram.xyz [](https://hypnogram.xyz/) Generate images from text descriptions using AI FakeYou. Deep Fake Text to Speech. [](https://fakeyou.com/) FakeYou is a text to speech wonderland where all of your dreams come true. Craiyon, formerly DALL-E mini [](https://www.craiyon.com/) Craiyon, formerly DALL-E mini, is an AI model that can draw images from any text prompt! Deck Rocks - Create Pictch Decks [](https://www.deck.rocks/) Writely | Using AI to Improve Your Writing [](https://www.writelyai.com/) Making the art of writing accessible to all Writesonic AI Writer - Best AI Writing Assistant [](https://writesonic.com/) Writesonic is an AI writer that's been trained on top-performing SEO content, high-performing ads, and converting sales copy to help you supercharge your writing and marketing efforts. Smart Copy - AI Copywriting Assistant | Unbounce [](https://unbounce.com/product/smart-copy/) Generate creative AI copy on-the-spot across your favourite tools Synthesia | #1 AI Video Generation Platform [](https://www.synthesia.io/) Create AI videos by simply typing in text. Easy to use, cheap and scalable. Make engaging videos with human presenters — directly from your browser. Free demo. NVIDIA Canvas: Turn Simple Brushstrokes into Realistic Images [](https://www.nvidia.com/en-us/studio/canvas/) Create backgrounds quickly, or speed up your concept exploration so you can spend more time visualizing ideas with the help of NVIDIA Canvas. Hotpot.ai - Hotpot.ai [](https://hotpot.ai/) Hotpot.ai makes graphic design and image editing easy. AI tools allow experts and non-designers to automate tedious tasks while attractive, easy-to-edit templates allow anyone to create device mockups, social media posts, marketing images, app icons, and other work graphics. Klaviyo: Marketing Automation Platform for Email & SMS [](https://www.klaviyo.com/) Klaviyo, an ecommerce marketing automation platform for email marketing and sms syncs your tech stack with your website store to scale your business. Search listening tool for market, customer & content research - AnswerThePublic [](https://answerthepublic.com/) Use our free tool to get instant, raw search insights, direct from the minds of your customers. Upgrade to a paid plan to monitor for new ways that people talk & ask questions about your brand, product or topic. Topic Mojo [](https://topicmojo.com/) Discover unique & newest queries around any topic and find what your customers are searching for. Pulling data from 50+ sources to enhance your topic research. AI Image Enlarger | Enlarge Image Without Losing Quality! [](https://imglarger.com/) AI Image Enlarger is a FREE online image enlarger that could upscale and enhance small images automatically. Make jpg/png pictures big without losing quality. Midjourney [](https://www.midjourney.com/app/) Kaedim - AI for turning 2D images to 3D models [](https://www.kaedim3d.com/webapp) AI for turning 2D images, sketches and photos to 3D models in seconds. Overdub: Ultra realistic text to speech voice cloning - Descript [](https://www.descript.com/overdub) Create a text to speech model of your voice. Try a live demo. Getting Started [](https://magenta.tensorflow.org/get-started) Resources to learn about Magenta Photosonic AI Art Generator | Create Unique Images with AI [](https://photosonic.writesonic.com/) Transform your imagination into stunning digital art with Photosonic - the AI art generator. With its creative suggestions, this Writesonic's AI image generator can help unleash your inner artist and share your creations with the world. Image Computer [](https://image.computer/) Most downloaded Instagram Captions App (+more creator tools) [](https://captionplus.app/) Join 3 Million+ Instagram Creators who use CaptionPlus to find Instagram Captions, Hashtags, Feed Planning, Reel Ideas, IG Story Design and more. Writecream - Best AI Writer & Content Generator - Writecream [](https://www.writecream.com/) Sentence Rewriter is a free tool to reword a sentence, paragraph and even entire essays in a short amount of time. Hypotenuse AI: AI Writing Assistant and Text Generator [](https://www.hypotenuse.ai/) Turn a few keywords into original, insightful articles, product descriptions and social media copy with AI copywriting—all in just minutes. Try it free today. Text to Speach Listnr: Generate realistic Text to Speech voiceovers in seconds [](https://www.listnr.tech/) AI Voiceover Generator with over 600+ voiceovers in 80+ languages, go from Text to Voice in seconds. Get started for Free! Free Text to Speech: Online, App, Software, Commercial license with Natural Sounding Voices. [](https://www.naturalreaders.com/) Free text to speech online app with natural voices, convert text to audio and mp3, for personal and commercial use Developers OverAPI.com | Collecting all the cheat sheets [](https://overapi.com/) OverAPI.com is a site collecting all the cheatsheets,all! Search Engine For Devs [](https://you.com/) Spline - Design tool for 3D web browser experiences [](https://spline.design/) Create web-based 3D browser experiences Image to HTML CSS converter. Convert image to HTML CSS with AI: Fronty [](https://fronty.com/) Fronty - Image to HTML CSS code converter. Convert image to HTML powered by AI. Sketchfab - The best 3D viewer on the web [](https://sketchfab.com/) With a community of over one million creators, we are the world’s largest platform to publish, share, and discover 3D content on web, mobile, AR, and VR. Railway [](https://railway.app/) Railway is an infrastructure platform where you can provision infrastructure, develop with that infrastructure locally, and then deploy to the cloud. JSON Crack - Crack your data into pieces [](https://jsoncrack.com/) Simple visualization tool for your JSON data. No forced structure, paste your JSON and view it instantly. Locofy.ai - ship your products 3-4x faster — with low code [](https://www.locofy.ai/) Turn your designs into production-ready frontend code for mobile apps and web. Ship products 3-4x faster with your existing design tools, tech stacks & workflows. Oh Shit, Git!?! [](https://ohshitgit.com/) Carbon | Create and share beautiful images of your source code [](https://carbon.now.sh/) Carbon is the easiest way to create and share beautiful images of your source code. GPRM : GitHub Profile ReadMe Maker [](https://gprm.itsvg.in/) Best Profile Generator, Create your perfect GitHub Profile ReadMe in the best possible way. Lots of features and tools included, all for free ! HubSpot | Software, Tools, and Resources to Help Your Business Grow Better [](https://www.hubspot.com/) HubSpot’s integrated CRM platform contains the marketing, sales, service, operations, and website-building software you need to grow your business. QuickRef.ME - Quick Reference Cheat Sheet [](https://quickref.me/) Share quick reference and cheat sheet for developers massCode | A free and open source code snippets manager for developers [](https://masscode.io/) Code snippets manager for developers, developed using web technologies. Snyk | Developer security | Develop fast. Stay secure. [](https://snyk.io/) Snyk helps software-driven businesses develop fast and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and more. Developer Roadmaps [](https://roadmap.sh/) Community driven roadmaps, articles, guides, quizzes, tips and resources for developers to learn from, identify their career paths, know what they don't know, find out the knowledge gaps, learn and improve. CSS Generators Get Waves – Create SVG waves for your next design [](https://getwaves.io/) A free SVG wave generator to make unique SVG waves for your next web design. Choose a curve, adjust complexity, randomize! Box Shadows [](https://box-shadow.dev/) Tridiv | CSS 3D Editor [](http://tridiv.com/) Tridiv is a web-based editor for creating 3D shapes in CSS Glassmorphism CSS Generator - Glass UI [](https://ui.glass/generator/) Generate CSS and HTML components using the glassmorphism design specifications based on the Glass UI library. Blobmaker - Make organic SVG shapes for your next design [](https://www.blobmaker.app/) Make organic SVG shapes for your next design. Modify the complexity, contrast, and color, to generate unique SVG blobs every time. Keyframes.app [](https://keyframes.app/) cssFilters.co - Custom and Instagram like photo filters for CSS [](https://www.cssfilters.co/) Visual playground for generating CSS for custom and Instagram like photo filters. Experiment with your own uploaded photo or select one from the Unsplash collection. CSS Animations Animista - CSS Animations on Demand [](https://animista.net/) Animista is a CSS animation library and a place where you can play with a collection of ready-made CSS animations and download only those you will use. Build Internal apps Superblocks | Save 100s of developer hours on internal tools [](https://www.superblocks.com/) Superblocks is the fast, easy and secure way for developers to build custom internal tools fast. Connect your databases & APIs. Drag and drop UI components. Extend with Python or Javascript. Deploy in 1-click. Secure and Monitor using your favorite tools Budibase | Build internal tools in minutes, the easy way [](https://budibase.com/) Budibase is a modern, open source low-code platform for building modern internal applications in minutes. Retool | Build internal tools, remarkably fast. [](https://retool.com/) Retool is the fast way to build internal tools. Drag-and-drop our building blocks and connect them to your databases and APIs to build your own tools, instantly. Connects with Postgres, REST APIs, GraphQL, Firebase, Google Sheets, and more. Built by developers, for developers. Trusted by startups and Fortune 500s. Sign up for free. GitHub Repositories GitHub - vasanthk/how-web-works: What happens behind the scenes when we type www.google.com in a browser? [](https://github.com/vasanthk/how-web-works) What happens behind the scenes when we type www.google.com in a browser? - GitHub - vasanthk/how-web-works: What happens behind the scenes when we type www.google.com in a browser? GitHub - kamranahmedse/developer-roadmap: Interactive roadmaps, guides and other educational content to help developers grow in their careers. [](https://github.com/kamranahmedse/developer-roadmap) Interactive roadmaps, guides and other educational content to help developers grow in their careers. - GitHub - kamranahmedse/developer-roadmap: Interactive roadmaps, guides and other educational content to help developers grow in their careers. GitHub - apptension/developer-handbook: An opinionated guide on how to become a professional Web/Mobile App Developer. [](https://github.com/apptension/developer-handbook) An opinionated guide on how to become a professional Web/Mobile App Developer. - GitHub - apptension/developer-handbook: An opinionated guide on how to become a professional Web/Mobile App Developer. ProfileMe.dev | Create an amazing GitHub profile in minutes [](https://www.profileme.dev/) ProfileMe.dev | Create an amazing GitHub profile in minutes GitHub - Kristories/awesome-guidelines: A curated list of high quality coding style conventions and standards. [](https://github.com/Kristories/awesome-guidelines) A curated list of high quality coding style conventions and standards. - GitHub - Kristories/awesome-guidelines: A curated list of high quality coding style conventions and standards. GitHub - tiimgreen/github-cheat-sheet: A list of cool features of Git and GitHub. [](https://github.com/tiimgreen/github-cheat-sheet) A list of cool features of Git and GitHub. Contribute to tiimgreen/github-cheat-sheet development by creating an account on GitHub. GitHub - andreasbm/web-skills: A visual overview of useful skills to learn as a web developer [](https://github.com/andreasbm/web-skills) A visual overview of useful skills to learn as a web developer - GitHub - andreasbm/web-skills: A visual overview of useful skills to learn as a web developer GitHub - Ebazhanov/linkedin-skill-assessments-quizzes: Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers [](https://github.com/Ebazhanov/linkedin-skill-assessments-quizzes) Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers - GitHub - Ebazhanov/linkedin-skill-assessments-quizzes: Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers Blockchain/Crypto Dashboards [](https://dune.com/) Blockchain ecosystem analytics by and for the community. Explore and share data from Ethereum, xDai, Polygon, Optimism, BSC and Solana for free. Introduction - The Anchor Book v0.24.0 [](https://book.anchor-lang.com/introduction/introduction.html) Crypto & Fiat Exchange Super App | Trade, Save & Spend | hi [](https://hi.com/) Buy, Trade, Send and Earn Crypto & Fiat. Deposit Bitcoin, ETH, USDT and other cryptos and start earning. Get the hi Debit Card and Multi-Currency IBAN Account. Moralis Web3 - Enterprise-Grade Web3 APIs [](https://moralis.io/) Bridge the development gap between Web2 and Web3 with Moralis’ powerful Web3 APIs. Mirror [](https://mirror.xyz/) Built on web3 for web3, Mirror’s robust publishing platform pushes the boundaries of writing online—whether it’s the next big white paper or a weekly community update. Makerdao [](https://blog.makerdao.com/) Sholi — software for Investors & Traders / Sholi MetriX [](https://sholi.io/) Sholi — software for Investors & Traders / Sholi MetriX Stock Trading Quiver Quantitative [](https://www.quiverquant.com/) Quiver Quantitative Chart Prime - The only tool you'll need for trading assets across all markets [](https://chartprime.com/) ChartPrime offers a toolkit that will take your trading game to the next level. Visit our site for a full rundown of features and helpful tutorials. Learning Hacker Rank [](https://www.hackerrank.com/) Coderbyte | Code Screening, Challenges, & Interview Prep [](https://coderbyte.com/) Improve your coding skills with our library of 300+ challenges and prepare for coding interviews with content from leading technology companies. Competitive Programming | Participate & Learn | CodeChef [](https://www.codechef.com/) Learn competitive programming with the help of CodeChef's coding competitions. Take part in these online coding contests to level up your skills Learn to Code - for Free | Codecademy [](https://www.codecademy.com/) Learn the technical skills to get the job you want. Join over 50 million people choosing Codecademy to start a new career (or advance in their current one). Free Code Camp [](https://www.freecodecamp.org/) Learn to Code — For Free Sololearn: Learn to Code [](https://www.sololearn.com/home) Join Now to learn the basics or advance your existing skills Mimo: The coding app you need to learn to code! Python, HTML, JavaScript [](https://getmimo.com/) Join more than 17 million learners worldwide. Learn to code for free. Learn Python, JavaScript, CSS, SQL, HTML, and more with our free code learning app. Free for developers [](https://free-for.dev/#/) Your Career in Web Development Starts Here | The Odin Project [](https://www.theodinproject.com/) The Odin Project empowers aspiring web developers to learn together for free Code Learning Games CheckiO - coding games and programming challenges for beginner and advanced [](https://checkio.org/) CheckiO - coding websites and programming games. Improve your coding skills by solving coding challenges and exercises online with your friends in a fun way. Exchanges experience with other users online through fun coding activities Coding for Kids | Game-Based Programming | CodeMonkey [](https://www.codemonkey.com/) CodeMonkey is a leading coding for kids program. Through its award-winning courses, millions of students learn how to code in real programming languages. Coding Games and Programming Challenges to Code Better [](https://www.codingame.com/) CodinGame is a challenge-based training platform for programmers where you can play with the hottest programming topics. Solve games, code AI bots, learn from your peers, have fun. Learn VIM while playing a game - VIM Adventures [](https://vim-adventures.com/) VIM Adventures is an online game based on VIM's keyboard shortcuts. It's the "Zelda meets text editing" game. So come have some fun and learn some VIM! CodeCombat - Coding games to learn Python and JavaScript [](https://codecombat.com/) Learn typed code through a programming game. Learn Python, JavaScript, and HTML as you solve puzzles and learn to make your own coding games and websites. Design Useberry - Codeless prototype analytics [](https://www.useberry.com/) User testing feedback & rich insights in minutes, not months! Figma: the collaborative interface design tool. [](https://www.figma.com/) Build better products as a team. Design, prototype, and gather feedback all in one place with Figma. Dribbble - Discover the World’s Top Designers & Creative Professionals [](https://dribbble.com/) Find Top Designers & Creative Professionals on Dribbble. We are where designers gain inspiration, feedback, community, and jobs. Your best resource to discover and connect with designers worldwide. Photopea | Online Photo Editor [](https://www.photopea.com/) Photopea Online Photo Editor lets you edit photos, apply effects, filters, add text, crop or resize pictures. Do Online Photo Editing in your browser for free! Toools.design – An archive of 1000+ Design Resources [](https://www.toools.design/) A growing archive of over a thousand design resources, weekly updated for the community. Discover highly useful design tools you never thought existed. All Online Tools in One Box | 10015 Tools [](https://10015.io/) All online tools you need in one box for free. Build anything online with “all-in-one toolbox”. All tools are easy-to-use, blazing fast & free. Phase - Digital Design Reinvented| Phase [](https://phase.com/) Design and prototype websites and apps visually and intuitively, in a new powerful product reworked for the digital age. Animated Backgrounds [](https://animatedbackgrounds.me/) A Collection of 30+ animated backgrounds for websites and blogs.With Animated Backgrounds, set a simple, elegant background animations on your websites and blogs. Trianglify.io · Low Poly Pattern Generator [](https://trianglify.io/) Trianglify.io is a tool for generating low poly triangle patterns that can be used as wallpapers and website assets. Cool Backgrounds [](https://coolbackgrounds.io/) Explore a beautifully curated selection of cool backgrounds that you can add to blogs, websites, or as desktop and phone wallpapers. SVG Repo - Free SVG Vectors and Icons [](https://www.svgrepo.com/) Free Vectors and Icons in SVG format. ✅ Download free mono or multi color vectors for commercial use. Search in 300.000+ Free SVG Vectors and Icons. Microcopy - Short copy text for your website. [](https://www.microcopy.me/) Search micro UX copy text: slogans, headlines, notifications, CTA, error messages, email, account preferences, and much more. 3D icons and icon paks - Free3Dicon [](https://free3dicon.com/) All 3D icons you need in one place. This is a collection of free, beautiful, trending 3D icons, that you can use in any project. Love 3D Icon [](https://free3dicons.com/) Downloads free 3D icons GIMP - GNU Image Manipulation Program [](https://www.gimp.org/) GIMP - The GNU Image Manipulation Program: The Free and Open Source Image Editor blender.org - Home of the Blender project - Free and Open 3D Creation Software [](https://www.blender.org/) The Freedom to Create 3D Design Software | 3D Modeling on the Web | SketchUp [](https://www.sketchup.com/) SketchUp is a premier 3D design software that truly makes 3D modeling for everyone, with a simple to learn yet robust toolset that empowers you to create whatever you can imagine. Free Logo Maker - Create a Logo in Seconds - Shopify [](https://www.shopify.com/tools/logo-maker) Free logo maker tool to generate custom design logos in seconds. This logo creator is built for entrepreneurs on the go with hundreds of templates, free vectors, fonts and icons to design your own logo. The easiest way to create business logos online. All your design tools in one place | Renderforest [](https://www.renderforest.com/) Time to get your brand noticed. Create professional videos, logos, mockups, websites, and graphics — all in one place. Get started now! Prompt Hero [](https://prompthero.com/) Type Scale - A Visual Calculator [](https://type-scale.com/) Preview and choose the right type scale for your project. Experiment with font size, scale and different webfonts. DreamFusion: Text-to-3D using 2D Diffusion [](https://dreamfusion3d.github.io/) DreamFusion: Text-to-3D using 2D Diffusion, 2022. The branding style guidelines documents archive [](https://brandingstyleguides.com/) Welcome to the brand design manual documents directory. Search over our worldwide style assets handpicked collection, access to PDF documents for inspiration. Super designer | Create beautiful designs with a few clicks [](https://superdesigner.co/) Create beautiful designs with a few clicks. Simple design tools to generate unique patterns, backgrounds, 3D shapes, colors & images for social media, websites and more Readymag—a design tool to create websites without coding [](https://readymag.com/) Meet the most elegant, simple and powerful web-tool for designing websites, presentations, portfolios and all kinds of digital publications. ffflux: Online SVG Fluid Gradient Background Generator | fffuel [](https://fffuel.co/ffflux/) SVG generator to make fluid gradient backgrounds that feel organic and motion-like. Perfect to add a feeling of motion and fluidity to your web designs. Generate unique SVG design assets | Haikei [](https://haikei.app/) A web-based design tool to generate unique SVG design assets for websites, social media, blog posts, desktop and mobile wallpapers, posters, and more! Our generators let you discover, customize, randomize, and export generative SVG design assets ready to use with your favorite design tools. UI/UX - Inspirational Free Website Builder Software | 10,000+ Free Templates [](https://nicepage.com/) Nicepage is your website builder software breaking limitations common for website builders with revolutionary freehand positioning. 7000+ Free Templates. Easy Drag-n-Drop. No coding. Mobile-friendly. Clean HTML. Super designer | Create beautiful designs with a few clicks [](https://superdesigner.co/) Create beautiful designs with a few clicks. Simple design tools to generate unique patterns, backgrounds, 3D shapes, colors & images for social media, websites and more Pika – Create beautiful mockups from screenshots [](https://pika.style/) Quickly create beautiful website and device mockup from screenshot. Pika lets you capture website screenshots form URL, add device and browser frames, customize background and more LiveTerm [](https://liveterm.vercel.app/) Minimal Gallery – Web design inspiration [](https://minimal.gallery/) For the love of beautiful, clean and functional websites. Awwwards - Website Awards - Best Web Design Trends [](https://www.awwwards.com/) Awwwards are the Website Awards that recognize and promote the talent and effort of the best developers, designers and web agencies in the world. Design Systems For Figma [](https://www.designsystemsforfigma.com/) A collection of Design Systems for Figma from all over the globe. Superside: Design At Scale For Ambitious Brands [](https://www.superside.com/) We are an always-on design company. Get a team of dedicated designers, speedy turnarounds, magical creative collaboration tech and the top 1% of global talent. UXArchive - Made by Waldo [](https://uxarchive.com/) UXArchive the world's largest library of mobile user flows. Be inspired to design the best user experiences. Search by Muzli [](https://search.muz.li/) Search, discover, test and create beautiful color palettes for your projects Siteinspire | Web Design Inspiration [](https://www.siteinspire.com/) SAVEE [](https://savee.it/) The best way to save and share inspiration. A little corner of the internet to find good landing page copywriting examples [](https://greatlandingpagecopy.com/) A little corner of the internet to find great landing page copywriting examples. The Best Landing Page Examples For Design Inspiration - SaaS Landing Page [](https://saaslandingpage.com/) SaaS Landing Page showcases the best landing page examples created by top-class SaaS companies. Get ideas and inspirations for your next design project. Websites Free templates Premium Bootstrap Themes and Templates: Download @ Creative Tim [](https://www.creative-tim.com/) UI Kits, Templates and Dashboards built on top of Bootstrap, Vue.js, React, Angular, Node.js and Laravel. Join over 2,014,387+ creatives to access all our products! Free Bootstrap Themes, Templates, Snippets, and Guides - Start Bootstrap [](https://startbootstrap.com/) Start Bootstrap develops free to download, open source Bootstrap 5 themes, templates, and snippets and creates guides and tutorials to help you learn more about designing and developing with Bootstrap. Free Website Templates [](https://freewebsitetemplates.com/) Get your free website templates here and use them on your website without needing to link back to us. One Page Love - One Page Website Inspiration and Templates [](https://onepagelove.com/) One Page Love is a One Page website design gallery showcasing the best Single Page websites, templates and resources. Free CSS | 3400 Free Website Templates, CSS Templates and Open Source Templates [](https://www.free-css.com/) Free CSS has 3400 free website templates, all templates are free CSS templates, open source templates or creative commons templates. Free Bootstrap Themes and Website Templates | BootstrapMade [](https://bootstrapmade.com/) At BootstrapMade, we create beautiful website templates and bootstrap themes using Bootstrap, the most popular HTML, CSS and JavaScript framework. Free and Premium Bootstrap Themes, Templates by Themesberg [](https://themesberg.com/) Free and Premium Bootstrap themes, templates, admin dashboards and UI kits used by over 38820 web developers and software companies HTML, Vue.js and React templates for startup landing pages - Cruip [](https://cruip.com/) Cruip is a gallery of premium and free HTML, Vue.js and React templates for startups and SaaS. Free Website Templates Download | WordPress Themes - W3Layouts [](https://w3layouts.com/) Want to download free website templates? W3Layouts WordPress themes and website templates are built with responsive web design techniques. Download now! Free HTML Landing Page Templates and UI Kits | UIdeck [](https://uideck.com/) Free HTML Landing Page Templates, Bootstrap Themes, React Templates, HTML Templates, Tailwind Templates, and UI Kits. Create Online Graphics Snappa - Quick & Easy Graphic Design Software [](https://snappa.com/) Snappa makes it easy to create any type of online graphic. Create & publish images for social media, blogs, ads, and more! Canva [](https://www.canva.com/) Polotno Studio - Make graphical designs [](https://studio.polotno.com) Free online design editor. Create images for social media, youtube previews, facebook covers Free Logo Maker: Design Custom Logos | Adobe Express [](https://www.adobe.com/express/create/logo) The Adobe Express logo maker is instant, intuitive, and intelligent. Use it to generate a wide range of possibilities for your own logo. Photo Editor: Fotor – Free Online Photo Editing & Image Editor [](https://www.fotor.com/) Fotor's online photo editor helps you edit photos with free online photo editing tools. Crop photos, resize images, and add effects/filters, text, and graphics in just a few clicks. Photoshop online has never been easier with Fotor's free online photo editor. VistaCreate – Free Graphic Design Software with 70,000+ Free Templates [](https://create.vista.com/) Looking for free graphic design software? Easily create professional designs with VistaCreate, a free design tool with powerful features and 50K+ ready-made templates Draw Freely | Inkscape [](https://inkscape.org/) Inkscape is professional quality vector graphics software which runs on Linux, Mac OS X and Windows desktop computers. Visual & Video Maker Trusted By 11 Million Users - Piktochart [](https://piktochart.com/) With Piktochart, you can create professional-looking infographics, flyers, posters, charts, videos, and more. No design experience needed. Start for free. The Web's Favorite Online Graphic Design Tool | Stencil [](https://getstencil.com/) Stencil is a fantastically easy-to-use online graphic design tool and image editor built for business owners, social media marketers, and bloggers. Pablo by Buffer - Design engaging images for your social media posts in under 30 seconds [](https://pablo.buffer.com/) Buffer makes it super easy to share any page you're reading. Keep your Buffer topped up and we automagically share them for you through the day. Free Online Graphic Design Software | Create stunning designs in seconds. [](https://desygner.com/) Easy drag and drop graphic design tool for anyone to use with 1000's of ready made templates. Create & print professional business cards, flyers, social posts and more. Color Pallet Color Palettes for Designers and Artists - Color Hunt [](https://colorhunt.co/) Discover the newest hand-picked color palettes of Color Hunt. Get color inspiration for your design and art projects. Coolors - The super fast color palettes generator! [](https://coolors.co/) Generate or browse beautiful color combinations for your designs. Get color palette inspiration from nature - colorpalettes.earth [](https://colorpalettes.earth/) Color palettes inspired by beautiful nature photos Color Palette Generator - Create Beautiful Color Schemes [](https://colors.muz.li/) Search, discover, test and create beautiful color palettes for your projects A Most Useful Color Picker | 0to255 [](https://0to255.com/) Find lighter and darker colors based on any color. Discover why over two million people have used 0to255 to choose colors for their website, logo, room interior, and print design projects. Colour Contrast Checker [](https://colourcontrast.cc/) Check the contrast between different colour combinations against WCAG standards Fonts Google Fonts [](https://fonts.google.com/) Making the web more beautiful, fast, and open through great typography Fonts In Use – Type at work in the real world. [](https://fontsinuse.com/) A searchable archive of typographic design, indexed by typeface, format, and topic. Wordmark - Helps you choose fonts! [](https://wordmark.it/) Wordmark helps you choose fonts by quickly displaying your text with your fonts. OH no Type Company [](https://ohnotype.co/) OH no Type Co. Retail and custom typefaces. Life’s a thrill, fonts are chill! Illustrations Illustrations | unDraw [](https://undraw.co/illustrations) The design project with open-source illustrations for any idea you can imagine and create. Create beautiful websites, products and applications with your color, for free. Design Junction [](https://designjunction.xyz/) Design Junction is a one-stop resource library for Designers and Creatives with curated list of best resources handpicked from around the web Humaaans: Mix-&-Match illustration library [](https://www.humaaans.com/) Mix-&-match illustrations of people with a design library for InVIsion Studio and Sketch. Stubborn - Free Illustrations Generator [](https://stubborn.fun/) Free illustrations generator for Figma and Sketch. Get the opportunity to design your characters using symbols and styles. Open Peeps, Hand-Drawn Illustration Library [](https://www.openpeeps.com/) Open Peeps is a hand-drawn illustration library to create scenes of people. You can use them in product illustration, marketing, comics, product states, user flows, personas, storyboarding, quinceañera invitations, or whatever you want! ⠀ Reshot | Free icons & illustrations [](https://www.reshot.com/) Design freely with instant downloads of curated SVG icons and vector illustrations. All free with commercial licensing. No attribution required. Blush: Illustrations for everyone [](https://blush.design/) Blush makes it easy to add free illustrations to your designs. Play with fully customizable graphics made by artists across the globe. Mockups Angle 4 - 5000+ Device Mockups for Figma, Sketch and XD [](https://angle.sh/) Vector mockups for iPhone, iPad, Android and Mac devices, including the new iPhone 13, Pro, Pro Max and Mini. Perfect for presenting your apps. Huge library of components, compositions, wallpapers and plugins made for Figma, Sketch and XD. Make Mockups, Logos, Videos and Designs in Seconds [](https://placeit.net/) Get unlimited downloads on all our 100K templates! You can make a logo, video, mockup, flyer, business card and social media image in seconds right from your browser. Free and premium tools for graphic designers | Lstore Graphics [](https://www.ls.graphics/) Free and premium mockups, UI/UX tools, scene creators for busy designers Logo Design & Brand Identity Platform for Entrepreneurs | Looka [](https://looka.com/) Logojoy is now Looka! Design a Logo, make a website, and create a Brand Identity you’ll love with the power of Artificial Intelligence. 100% free to use. Create stunning product mockups easily and online - Smartmockups [](https://smartmockups.com/) Smartmockups enables you to create stunning high-resolution mockups right inside your browser within one interface across multiple devices. Previewed - Free mockup generator for your app [](https://previewed.app/) Join Previewed to create stunning 3D image shots and animations for your app. Choose from hundreds of ready made mockups, or create your own. Free Design Software - Graphic Online Maker - Glorify [](https://www.glorify.com/) Create professional and high converting social media posts, ads, infographics, presentations, and more with Glorify, a free design software & graphic maker. Other BuiltWith Technology Lookup [](https://builtwith.com/) Web technology information profiler tool. Find out what a website is built with. Compress JPEG Images Online [](https://compressjpeg.com/) Compress JPEG images and photos for displaying on web pages, sharing on social networks or sending by email. PhotoRoom - Remove Background and Create Product Pictures [](https://www.photoroom.com/) Create product and portrait pictures using only your phone. Remove background, change background and showcase products. Magic Eraser - Remove unwanted things from images in seconds [](https://www.magiceraser.io/) Magic Eraser - Use AI to remove unwanted things from images in seconds. Upload an image, mark the bit you need removed, download the fixed up image. Compressor.io - optimize and compress JPEG photos and PNG images [](https://compressor.io/) Optimize and compress JPEG, PNG, SVG, GIF and WEBP images online. Compress, resize and rename your photos for free. Remove Video Background – Unscreen [](https://www.unscreen.com/) Remove the background of any video - 100% automatically, online & free! Goodbye Greenscreen. Hello Unscreen. Noun Project: Free Icons & Stock Photos for Everything [](https://thenounproject.com/) Noun Project features the most diverse collection of icons and stock photos ever. Download SVG and PNG. Browse over 5 million art-quality icons and photos. Design Principles [](https://principles.design/) An Open Source collection of Design Principles and methods Shapefest™ - A massive library of free 3D shapes [](https://www.shapefest.com/) A massive free library of beautifully rendered 3D shapes. 160,000+ high resolution PNG images in one cohesive library. Learning UX Degreeless.design - Everything I Learned in Design School [](https://degreeless.design/) This is a list of everything I've found useful in my journey of learning design, and an ongoing list of things I think you should read. For budding UX, UI, Interaction, or whatever other title designers. UX Tools | Practical UX skills and tools [](https://uxtools.co/) Lessons and resources from two full-time product designers. Built For Mars [](https://builtformars.com/) On a mission to help the world build better user experiences by demystifying UX. Thousands of hours of research packed into UX case studies. Case Study Club – Curated UX Case Study Gallery [](https://www.casestudy.club/) Case Study Club is the biggest curated gallery of the best UI/UX design case studies. Get inspired by industry-leading designers, openly sharing their UX process. The Guide to Design [](https://start.uxdesign.cc/) A self-guided class to help you get started in UX and answer key questions about craft, design, and career Uxcel - Where design careers are built [](https://app.uxcel.com/explore) Available on any device anywhere in the world, Uxcel is the best way to improve and learn UX design online in just 5 minutes per day. UI & UX Design Tips by Jim Raptis. [](https://www.uidesign.tips/) Learn UI & UX Design with practical byte-sized tips and in-depth articles from Jim Raptis. Entrepreneur Instant Username Search [](https://instantusername.com/#/) Instant Username Search checks out if your username is available on more than 100 social media sites. Results appear instantly as you type. Flourish | Data Visualization & Storytelling [](https://flourish.studio/) Beautiful, easy data visualization and storytelling PiPiADS - #1 TikTok Ads Spy Tool [](https://www.pipiads.com/) PiPiADS is the best tiktok ads spy tool .We provide tiktok advertising,advertising on tiktok,tiktok ads examples,tiktok ads library,tiktok ads best practices,so you can understand the tiktok ads cost and master the tiktok ads 2021 and tiktok ads manager. Minea - The best adspy for product search in ecommerce and dropshipping [](https://en.minea.com/) Minea is the ultimate e-commerce product search tool. Minea tracks all ads on all networks. Facebook Ads, influencer product placements, Snapspy, all networks are tracked. Stop paying adspy 149€ for one network and discover Minea. AdSpy [](https://adspy.com/) Google Trends [](https://trends.google.com/) ScoreApp: Advanced Quiz Funnel Marketing | Make a Quiz Today [](https://www.scoreapp.com/) ScoreApp makes quiz funnel marketing easy, so you can attract relevant warm leads, insightful data and increase your sales. Try for free today Mailmodo - Send Interactive Emails That Drive Conversions [](https://www.mailmodo.com/) Use Mailmodo to create and send interactive emails your customers love. Drive conversions and get better email ROI. Sign up for a free trial now. 185 Top E-Commerce Sites Ranked by User Experience Performance – Baymard Institute [](https://baymard.com/ux-benchmark) See the ranked UX performance of the 185 largest e-commerce sites in the US and Europe. The chart summarizes 50,000+ UX performance ratings. Metricool - Analyze, manage and measure your digital content [](https://metricool.com/) Social media scheduling, web analytics, link in bio and reporting. Metricool is free per live for one brand. START HERE Visualping: #1 Website change detection, monitoring and alerts [](https://visualping.io/) More than 1.5 millions users monitor changes in websites with Visualping, the No1 website change detection, website checker, webpage change monitoring and webpage change detection tool. Gumroad – Sell what you know and see what sticks [](https://gumroad.com/) Gumroad is a powerful, but simple, e-commerce platform. We make it easy to earn your first dollar online by selling digital products, memberships and more. Product Hunt – The best new products in tech. [](https://www.producthunt.com/) Product Hunt is a curation of the best new products, every day. Discover the latest mobile apps, websites, and technology products that everyone's talking about. 12ft Ladder [](https://12ft.io/) Show me a 10ft paywall, I’ll show you a 12ft ladder. namecheckr | Social and Domain Name Availability Search For Brand Professionals [](https://www.namecheckr.com/) Social and Domain Name Availability Search For Brand Professionals Excel AI Formula Generator - Excelformulabot.com [](https://excelformulabot.com/) Transform your text instructions into Excel formulas in seconds with the help of AI. Z-Library [](https://z-lib.org/) Global Print On Demand Platform | Gelato [](https://www.gelato.com/) Create and sell custom products online. With local production in 33 countries, easy integration, and 24/7 customer support, Gelato is an all-in-one platform. Freecycle: Front Door [](https://freecycle.org/) Free eBooks | Project Gutenberg [](https://www.gutenberg.org/) Project Gutenberg is a library of free eBooks. 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Learn More Last Pass [](https://www.lastpass.com/) Starter Story: Learn How People Are Starting Successful Businesses [](https://www.starterstory.com/) Starter Story interviews successful entrepreneurs and shares the stories behind their businesses. In each interview, we ask how they got started, how they grew, and how they run their business today. How To Say No [](https://www.starterstory.com/how-to-say-no) Saying no is hard, but it's also essential for your sanity. Here are some templates for how to say no - so you can take back your life. Think with Google - Discover Marketing Research & Digital Trends [](https://www.thinkwithgoogle.com/) Uncover the latest marketing research and digital trends with data reports, guides, infographics, and articles from Think with Google. ClickUp™ | One app to replace them all [](https://clickup.com/) Our mission is to make the world more productive. To do this, we built one app to replace them all - Tasks, Docs, Goals, and Chat. 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Jungle Scout [](https://www.junglescout.com/) BuzzSumo | The World's #1 Content Marketing Platform [](https://buzzsumo.com/) BuzzSumo powers the strategies of 500k+ marketers, with content marketing data on 8b articles, 42m websites, 300t engagements, 500k journalists & 492m questions. Login - Capital [](https://app.capital.xyz/) Raise, hold, spend, and send funds — all in one place. Marketing Pictory – Video Marketing Made Easy - Pictory.ai [](https://pictory.ai/) Pictory's powerful AI enables you to create and edit professional quality videos using text, no technical skills required or software to download. Tolstoy | Communicate with interactive videos [](https://www.gotolstoy.com/) Start having face-to-face conversations with your customers. Create Email Marketing Your Audience Will Love - MailerLite [](https://www.mailerlite.com/) Email marketing tools to grow your audience faster and drive revenue smarter. Get free access to premium features with a 30-day trial! Sign up now! 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Video Maker | Create Videos Online | Promo.com [](https://promo.com/) Free customizable video maker to help boost your business. Video creator for ads, social media, product and explainer videos, and for anything else you need! beehiiv — The newsletter platform built for growth [](https://www.beehiiv.com/) Access the best tools available in email, helping your newsletter scale and monetize like never before. GetResponse | Professional Email Marketing for Everyone [](https://www.getresponse.com/) No matter your level of expertise, we have a solution for you. At GetResponse, it's email marketing done right. Start your free account today! Search Email Newsletter Archives : Email Tuna [](https://emailtuna.com/) Explore newsletters without subscribing. Get email design ideas, discount coupon codes and exclusive newsletters deals. Database of email newsletters archived from all over the internet. 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Free Online Form Builder & Form Creator | Jotform [](https://www.jotform.com/) We believe the right form makes all the difference. Go from busywork to less work with powerful forms that use conditional logic, accept payments, generate reports, and automate workflows. Manage Your Team’s Projects From Anywhere | Trello [](https://trello.com/en) Trello is the ultimate project management tool. Start up a board in seconds, automate tedious tasks, and collaborate anywhere, even on mobile. TikTok hashtag generator - tiktokhashtags.com [](https://tiktokhashtags.com/) Find out which are the best hashtags for your TikTok post. Create Infographics, Reports and Maps - Infogram [](https://infogram.com/) Infogram is an easy to use infographic and chart maker. Create and share beautiful infographics, online reports, and interactive maps. Make your own here. Confetto - Create Instagram content in minutes [](https://www.confet.to/) Confetto is an all-in-one social media marketing tool built for SMBs and Social Media Managers. Confetto helps you create high-quality content for your audience that maximizes your reach and engagement on social media. Design, copy-write, plan and schedule content all in one place. Find email addresses in seconds • Hunter (Email Hunter) [](https://hunter.io/) Hunter is the leading solution to find and verify professional email addresses. Start using Hunter and connect with the people that matter for your business. PlayPhrase.me: Site for cinema archaeologists. [](https://playphrase.me/) Travel and explore the world of cinema. Largest collection of video quotes from movies on the web. #1 Free SEO Tools → SEO Review Tools [](https://www.seoreviewtools.com/) SEO Review Tools: 42+ Free Online SEO Tools build with ❤! → Rank checker → Domain Authority Checker → Keyword Tool → Backlink Checker Podcastle: Seamless Podcast Recording & Editing [](https://podcastle.ai/) Podcastle is the simplest way to create professional-quality podcasts. Record, edit, transcribe, and export your content with the power of AI, in an intuitive web-based platform. Save Ads from TikTok & Facebook Ad Library - Foreplay [](https://www.foreplay.co/) The best way to save ads from TikTok Creative Center and Facebook Ad Library, Organize them into boards and share ad inspiration with your team. Supercharge your creative strategy. SiteRight - Automate Your Business [](https://www.siteright.co/) SiteRight combines the abilities of multiple online resources into a single dashboard allowing you to have full control over how you manage your business. Diffchecker - Compare text online to find the difference between two text files [](https://www.diffchecker.com/) Diffchecker will compare text to find the difference between two text files. Just paste your files and click Find Difference! Yout.com [](https://yout.com/) Yout.com allows you to record videos from YouTube, FaceBook, SoundCloud, VK and others too many formats with clipping. Intuitively easy to use, with Yout the Internet DVR, with a bit of extra. AI Content Generation | Competitor Analysis - Predis.ai [](https://predis.ai/) Predis helps brands and influencers communicate better on social media by providing AI-powered content strategy analysis, content and hashtag recommendations. Castr | #1 Live Video Streaming Solution With Video Hosting [](https://castr.io/) Castr is a live video streaming solution platform that delivers enterprise-grade live videos globally with CDN. Live event streaming, video hosting, pre-recorded live, multi stream – all in one place using Castr. Headliner - Promote your podcast, radio show or blog with video [](https://www.headliner.app/) Easily create videos to promote your podcast, radio show or blog. Share to Instagram, Facebook, Twitter, YouTube, Linkedin and anywhere video lives Create Presentations, Infographics, Design & Video | Visme [](https://www.visme.co/) Create professional presentations, interactive infographics, beautiful design and engaging videos, all in one place. Start using Visme today. Designrr - Create eBooks, Kindle books, Leadmagnets, Flipbooks and Blog posts from your content in 2 minutes [](https://designrr.io/) Upload any web page, MS Word, Video, Podcast or YouTube and it will create a stunning ebook and convert it to pdf, epub, Kindle or Flipbook. Quick and Easy to use. Full Training, 24x7 Support and Facebook Group Included. SwipeWell | Swipe File Software [](https://www.swipewell.app/) The only Chrome extension dedicated to helping you save, organize, and reference marketing examples (so you never feel stumped). Tango | Create how-to guides, in seconds [](https://www.tango.us/) Tango takes the pain out of documenting processes by automatically generating how-to guides while you work. Empower your team to do their best work. Ad Creative Bank [](https://www.theadcreativebank.com/) Get inspired by ads from across industries, learn new best practices, and start thinking creatively about your brand’s digital creative. Signature Hound • Free Email Signature and Template Generator [](https://signaturehound.com/) Our email signature generator is free and easy to use. Our customizable templates work with Gmail, Outlook, Office 365, Apple Mail and more. Organize All Of Your Marketing In One Place - CoSchedule [](https://coschedule.com/) Get more done in less time with the only work management software for marketers. B Ok - Books [](https://b-ok.xyz/categories) OmmWriter [](https://ommwriter.com/) Ommwriter Rebrandly | Custom URL Shortener, Branded Link Management, API [](https://www.rebrandly.com/) URL Shortener with custom domains. Shorten, brand and track URLs with the industry-leading link management platform. Free to try. API, Short URL, Custom Domains. Common Tools [](https://www.commontools.org/) Book Bolt [](https://bookbolt.io/) Zazzle [](https://www.zazzle.com/) InspiroBot [](https://inspirobot.me/) Download Free Cheat Sheets or Create Your Own! - Cheatography.com: Cheat Sheets For Every Occasion [](https://cheatography.com/) Find thousands of incredible, original programming cheat sheets, all free to download. No Code Chatbot Platform | Free Chatbot Platform | WotNot [](https://wotnot.io/) WotNot is the best no code chatbot platform to build AI bot easily without coding. Deploy bots and live chat on the Website, Messenger, WhatsApp, and more. SpyFu - Competitor Keyword Research Tools for Google Ads PPC & SEO [](https://www.spyfu.com/) Systeme.io - The only tool you need to launch your online business [](https://systeme.io/) Systeme.io has all the tools you need to grow your online business. Click here to create your FREE account! Productivity Temp Mail [](https://temp-mail.org/en/) The Visual Collaboration Platform for Every Team | Miro [](https://miro.com/) Scalable, secure, cross-device and enterprise-ready team collaboration whiteboard for distributed teams. Join 35M+ users from around the world. Grammarly: Free Online Writing Assistant [](https://www.grammarly.com/) Millions trust Grammarly’s free writing app to make their online writing clear and effective. Getting started is simple — download Grammarly’s extension today. Rize · Maximize Your Productivity [](https://rize.io/) Rize is a smart time tracker that improves your focus and helps you build better work habits. Motion | Manage calendars, meetings, projects & tasks in one app [](https://www.usemotion.com/) Automatically prioritize tasks, schedule meetings, and resolve calendar conflicts. Used by over 10k CEOs and professionals to improve focus, get more done, and streamline workday. Notion – One workspace. Every team. 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[](https://gohighbrow.com/) Highbrow helps you learn something new every day with 5-minute lessons delivered to your inbox every morning. Join over 400,000 lifelong learners today! Slick Write | Check your grammar. Proofread online. [](https://www.slickwrite.com/#!home) Slick Write is a powerful, FREE application that makes it easy to check your writing for grammar errors, potential stylistic mistakes, and other features of interest. Whether you're a blogger, novelist, SEO professional, or student writing an essay for school, Slick Write can help take your writing to the next level. Reverso [](https://www.reverso.net) Hemingway Editor [](https://hemingwayapp.com/) Web Apps by 123apps - Edit, Convert, Create [](https://123apps.com/) Splitbee – Your all-in-one analytics and conversion platform [](https://splitbee.io/) Track and optimize your online business with Splitbee. Analytics, Funnels, Automations, A/B Testing and more. PDF Tools Free PDF, Video, Image & Other Online Tools - TinyWow [](https://tinywow.com/) Smallpdf.com - A Free Solution to all your PDF Problems [](https://smallpdf.com/) Smallpdf - the platform that makes it super easy to convert and edit all your PDF files. Solving all your PDF problems in one place - and yes, free. Sejda helps with your PDF tasks [](https://www.sejda.com/) Sejda helps with your PDF tasks. Quick and simple online service, no installation required! Split, merge or convert PDF to images, alternate mix or split scans and many other. iLovePDF | Online PDF tools for PDF lovers [](https://www.ilovepdf.com/) iLovePDF is an online service to work with PDF files completely free and easy to use. Merge PDF, split PDF, compress PDF, office to PDF, PDF to JPG and more! Text rewrite QuillBot [](https://quillbot.com/) Pre Post SEO : Online SEO Tools [](https://www.prepostseo.com/) Free Online SEO Tools: plagiarism checker, grammar checker, image compressor, website seo checker, article rewriter, back link checker Wordtune | Your personal writing assistant & editor [](https://www.wordtune.com/) Wordtune is the ultimate AI writing tool that rewrites, rephrases, and rewords your writing! Trusted by over 1,000,000 users, Wordtune strengthens articles, academic papers, essays, emails and any other online content. Aliexpress alternatives CJdropshipping - Dropshipping from Worldwide to Worldwide! [](https://cjdropshipping.com/) China's reliable eCommerce dropshipping fulfillment supplier, helps small businesses ship worldwide, dropship and fulfillment services that are friendly to start-ups and small businesses, Shopify dropshipping. SaleHoo [](https://www.salehoo.com/) Alibaba.com: Manufacturers, Suppliers, Exporters & Importers from the world's largest online B2B marketplace [](https://www.alibaba.com/) Find quality Manufacturers, Suppliers, Exporters, Importers, Buyers, Wholesalers, Products and Trade Leads from our award-winning International Trade Site. Import & Export on alibaba.com Best Dropshipping Suppliers for US + EU Products | Spocket [](https://www.spocket.co/) Spocket allows you to easily start dropshipping top products from US and EU suppliers. Get started for free and see why Spocket consistently gets 5 stars. Best dropshipping supplier to the US [](https://www.usadrop.com/) THE ONLY AMERICAN-MADE FULFILLMENT CENTER IN CHINA. Our knowledge of the Worldwide dropshipping market and the Chinese Supply-Chain can't be beat! 阿里1688 [](https://www.1688.com/) 阿里巴巴（1688.com）是全球企业间（B2B）电子商务的著名品牌，为数千万网商提供海量商机信息和便捷安全的在线交易市场，也是商人们以商会友、真实互动的社区平台。目前1688.com已覆盖原材料、工业品、服装服饰、家居百货、小商品等12个行业大类，提供从原料--生产--加工--现货等一系列的供应产品和服务 Dropshipping Tools Oberlo | Where Self Made is Made [](https://www.oberlo.com/) Start selling online now with Shopify. All the videos, podcasts, ebooks, and dropshipping tools you'll need to build your online empire. Klaviyo: Marketing Automation Platform for Email & SMS [](https://www.klaviyo.com/) Klaviyo, an ecommerce marketing automation platform for email marketing and sms syncs your tech stack with your website store to scale your business. SMSBump | SMS Marketing E-Commerce App for Shopify [](https://smsbump.com/) SMSBump is an SMS marketing & automation app for Shopify. Segment customers, recover orders, send campaign text messages with a 35%+ click through rate. AfterShip: The #1 Shipment Tracking Platform [](https://www.aftership.com/) Order status lookup, branded tracking page, and multi-carrier tracking API for eCommerce. Supports USPS, FedEx, UPS, and 900+ carriers worldwide. #1 Dropshipping App | Zendrop [](https://zendrop.com/) Start and scale your own dropshipping business with Zendrop. Sell and easily fulfill your orders with the fastest shipping in the industry. Best Dropshipping Suppliers for US + EU Products | Spocket [](https://www.spocket.co/) Spocket allows you to easily start dropshipping top products from US and EU suppliers. Get started for free and see why Spocket consistently gets 5 stars. Video Editing Jitter • The simplest motion design tool on the web. [](https://jitter.video/) Animate your designs easily. Export your creations as videos or GIFs. All in your browser. DaVinci Resolve 18 | Blackmagic Design [](https://www.blackmagicdesign.com/products/davinciresolve) Professional video editing, color correction, visual effects and audio post production all in a single application. Free and paid versions for Mac, Windows and Linux. Online Video Editor | Video Creator | InVideo [](https://invideo.io/) InVideo's Online Video Editor Helps You Make Professional Videos From Premium Templates, Images, And Music. All your video needs in one place | Clipchamp [](https://clipchamp.com/) Fast-forward your creations with our video editing platform. Start with a video template or record your webcam or screen. Get the pro look with filters, transitions, text and more. Then, export in minutes and share in an instant. Descript | All-in-one audio/video editing, as easy as a doc. [](https://www.descript.com/) Record, transcribe, edit, mix, collaborate, and master your audio and video with Descript. Download for free →. Kapwing — Reach more people with your content [](https://www.kapwing.com/) Kapwing is a collaborative, online content creation platform that you can use to edit video and create content. Join over 10 million modern creators who trust Kapwing to create, edit, and grow their content on every channel. Panzoid [](https://panzoid.com/) Powerful, free online apps and community for creating beautiful custom content. Google Web Designer - Home [](https://webdesigner.withgoogle.com/) Kapwing — Reach more people with your content [](https://www.kapwing.com/) Kapwing is a collaborative, online content creation platform that you can use to edit video and create content. Join over 10 million modern creators who trust Kapwing to create, edit, and grow their content on every channel. ClipDrop [](https://clipdrop.co/) Create professional visuals without a photo studio CapCut [](https://www.capcut.com/) CapCut is an all-in-one online video editing software which makes creation, upload & share easier, with frame by frame track editor, cloud drive etc. VEED - Online Video Editor - Video Editing Made Simple [](https://www.veed.io/) Make stunning videos with a single click. Cut, trim, crop, add subtitles and more. Online, no account needed. Try it now, free. VEED Free Video Maker | Create & Edit Your Videos Easily - Animoto [](https://animoto.com/k/welcome) Create, edit, and share videos with our online video maker. Combine your photos, video clips, and music to make quality videos in minutes. Get started free! Runway - Online Video Editor | Everything you need to make content, fast. [](https://runwayml.com/) Discover advanced video editing capabilities to take your creations to the next level. CreatorKit - A.I. video creator for marketers [](https://creatorkit.com/) Create videos with just one click, using our A.I. video editor purpose built for marketers. Create scroll stopping videos, Instagram stories, Ads, Reels, and TikTok videos. Pixar in a Box | Computing | Khan Academy [](https://www.khanacademy.org/computing/pixar) 3D Video Motions Plask - AI Motion Capture and 3D Animation Tool [](https://plask.ai/) Plask is an all-in-one browser-based AI motion capture tool and animation editor that anybody can use, from motion designers to every day content creators. Captions Captions [](https://www.getcaptions.app/) Say hello to Captions, the only camera and editing app that automatically transcribes, captions and clips your talking videos for you. Stock videos Pexels [](https://www.pexels.com/) Pixabay [](https://pixabay.com/) Mixkit - Awesome free assets for your next video project [](https://mixkit.co/) Download Free Stock Video Footage, Stock Music & Premiere Pro Templates for your next video editing project. All assets can be downloaded for free! Free Stock Video Footage HD 4K Download Royalty-Free Clips [](https://www.videvo.net/) Download free stock video footage with over 300,000 video clips in 4K and HD. We also offer a wide selection of music and sound effect files with over 180,000 clips available. Click here to download royalty-free licensing videos, motion graphics, music and sound effects from Videvo today. Free Stock Video Footage HD Royalty-Free Videos Download [](https://mazwai.com/) Download free stock video footage with clips available in HD. Click here to download royalty-free licensing videos from Mazwai now. Royalty Free Stock Video Footage Clips | Vidsplay.com [](https://www.vidsplay.com/) Royalty Free Stock Video Footage Clips Free Stock Video Footage, Royalty Free Videos for Download [](https://coverr.co/) Download royalty free (for personal and commercial use), unique and beautiful video footage for your website or any project. No attribution required. Stock Photos Beautiful Free Images & Pictures | Unsplash [](https://unsplash.com/) Beautiful, free images and photos that you can download and use for any project. Better than any royalty free or stock photos. When we share, everyone wins - Creative Commons [](https://creativecommons.org/) Creative Commons licenses are 20! Honoring 20 years of open sharing using CC licenses, join us in 2022 to celebrate Better Sharing — advancing universal access to knowledge and culture, and fostering creativity, innovation, and collaboration. Help us reach our goal of raising $15 million for a future of Better Sharing.  20 Years of Better … Read More "When we share, everyone wins" Food Pictures • Foodiesfeed • Free Food Photos [](https://www.foodiesfeed.com/) Download 2000+ food pictures ⋆ The best free food photos for commercial use ⋆ CC0 license Free Stock Photos and Images for Websites & Commercial Use [](https://burst.shopify.com/) Browse thousands of beautiful copyright-free images. All our pictures are free to download for personal and commercial use, no attribution required. EyeEm | Authentic Stock Photography and Royalty-Free Images [](https://www.eyeem.com/) Explore high-quality, royalty-free stock photos for commercial use. License individual images or save money with our flexible subscription and image pack plans. picjumbo: Free Stock Photos [](https://picjumbo.com/) Free stock photos and images for your projects and websites.️ Beautiful 100% free high-resolution stock images with no watermark. Free Stock Photos, Images, and Vectors [](https://www.stockvault.net/) 139.738 free stock photos, textures, backgrounds and graphics for your next project. No attribution required. Free Stock Photos, PNGs, Templates & Mockups | rawpixel [](https://www.rawpixel.com/) Free images, PNGs, stickers, backgrounds, wallpapers, graphic templates and PSD mockups. All safe to use with commercial licenses. Free Commercial Stock Photos & Royalty Free Images | PikWizard [](https://pikwizard.com/) Free images, videos & free stock photos. Unlimited downloads ✓ Royalty-free Images ✓Copyright-free for commercial use ✓ No Attribution Required Design Bundles [](https://designbundles.net/) Stock music Royalty Free Music for video creators | Epidemic Sound [](https://www.epidemicsound.com/) Download premium Royalty free Music and SFX! Our free trial gives you access to over 35,000 tracks and 90,000 sound effects for video, streaming and more! Royalty-Free Music & SFX for Video Creators | Artlist [](https://artlist.io/) Explore the ultimate royalty-free music & sound effects catalogs for unlimited use in YouTube videos, social media & films created by inspiring indie artists worldwide. The go-to music licensing choice for all creators Royalty Free Audio Tracks - Envato Elements [](https://elements.envato.com/audio) Download Royalty Free Stock Audio Tracks for your next project from Envato Elements. Premium, High Quality handpicked Audio files ideal for any genre. License popular music for videos • Lickd [](https://lickd.co/) The only place you can license popular music for videos. Access 1M+ mainstream tracks, plus high-quality stock music for content creators NCS (NoCopyrightSounds) - free music for content creators [](https://ncs.io/) NCS is a Record Label dedicated to giving a platform to the next generation of Artists in electronic music, representing genres from house to dubstep via trap, drum & bass, electro pop and more. Search Engine Optimization Keyword Tool For Monthly Search Volume, CPC & Competition [](https://keywordseverywhere.com/) Keywords Everywhere is a browser add-on for Chrome & Firefox that shows search volume, CPC & competition on multiple websites. Semrush - Online Marketing Can Be Easy [](https://www.semrush.com/) Turn the algorithm into a friend. Make your business visible online with 55+ tools for SEO, PPC, content, social media, competitive research, and more. DuckDuckGo — Privacy, simplified. [](https://duckduckgo.com/) The Internet privacy company that empowers you to seamlessly take control of your personal information online, without any tradeoffs. SEO Software for 360° Analysis of Your Website [](https://seranking.com/) Leading SEO software for business owners, agencies, and SEO specialists. Track your rankings, monitor competitors, spot technical errors, and more. Skyrocket your organic traffic with Surfer [](https://surferseo.com/) Use Surfer to research, write, optimize, and audit! Everything you need to create a comprehensive content strategy that yields real results is right here. Ahrefs - SEO Tools & Resources To Grow Your Search Traffic [](https://ahrefs.com/) You don't have to be an SEO pro to rank higher and get more traffic. Join Ahrefs – we're a powerful but easy to learn SEO toolset with a passionate community. Neon Tools [](https://neontools.io/) Google Index Search [](https://lumpysoft.com/) Google Index Search SEO Backlink Checker & Link Building Toolset | Majestic.com [](https://majestic.com/) Develop backlink strategies with our Link Intelligence data, build the strongest SEO backlink campaigns to drive organic traffic and boost your rankings today. PageOptimizer Pro [](https://pageoptimizer.pro/) Plans Services SEO Consulting Learn SEO About Blog POP SEO Community Podcast Support POP On Page Workshops With Kyle Roof POP Chrome Extension Guide Tutorial Videos Frequently Asked Questions Best Practices Login Cancel Anytime Plans Services SEO Consulting Learn SEO About Blog POP SEO Community Podcast Support POP On Page… Keyword Chef - Keywords for Publishers [](https://keywordchef.com/) Rank Insanely Fast for Keywords Your Competition Can’t Find “Every long-tail keyword I find ends up ranking within a day” – Dane Eyerly, Owner at TextGoods.com Keyword Chef automatically finds and filters keywords for you. Real-time SERP analysis lets you find keywords nearly guaranteed to rank. Try for free → Let’s face it, most keyword tools ... Read more Notifier - Social Listening for Social Media and More! [](https://notifier.so/) Track keywords. Market your product for free. Drive the conversation. Easy. Free Trial. No obligation ever. Simple. Fast. Trusted by Top Companies. Free Keyword Research Tool from Wordtracker [](https://www.wordtracker.com/) The best FREE alternative to the Keyword Planner. Use Wordtracker to reveal 1000s of profitable longtail keywords with up to 10,000 results per search Blog Posts The 60 Hottest Front-end Tools of 2021 | CSS-Tricks - CSS-Tricks [](https://css-tricks.com/hottest-front-end-tools-in-2021/) A complete list of the most popular front-end tools in 2021, according to the Web Tools Weekly newsletter. See which resources made the list. Resume ResumeGlow - AI Powered Resume Builder [](https://resumeglow.com/) Get hired fast with a resume that grabs attention. Designed by a team of HR experts and typographers. Customizable templates with more than a million possible Create Your Job-winning Resume - (Free) Resume maker · Resume.io [](https://resume.io/) Free online resume maker, allows you to create a perfect Resume or Cover Letter in 5 minutes. See how easy it is to write a professional resume - apply for jobs today! Rezi - The Leading AI-Powered Free Resume Builder [](https://www.rezi.ai/) Rezi’s award-winning AI-powered resume builder is trusted by hundreds of thousands of job seekers. Create your perfect resume in minutes with Rezi. Create a Perfect Resume | Free Resume Builder | Resumaker.ai [](https://resumaker.ai/) Create your professional resume with this online resume maker. Choose a designer-made template and grab any employer attention in seconds. Trusted AI Resume Maker Helps You Get Hired Fast [](https://skillroads.com/) Reach a 96.4% success rate in the job hunt race with the best resume creator. Our innovative technologies and 24/7 support help you to become a perfect candidate for any job. Do not lose your chance to become the One. Kickresume | Best Online Resume & Cover Letter Builder [](https://www.kickresume.com/) Create your best resume yet. Online resume and cover letter builder used by 1,300,000 job seekers worldwide. Professional templates approved by recruiters. ResumeMaker.Online | Create a Professional Resume for Free [](https://www.resumemaker.online/) Save time with the easiest-to-use Resume Maker Online. Create an effective resume in just minutes and land your dream job. No Sign-up required, start now! Interviews Interview Warmup - Grow with Google [](https://grow.google/certificates/interview-warmup/) A quick way to prepare for your next interview. Practice key questions, get insights about your answers, and get more comfortable interviewing. No code website builder Carrd - Simple, free, fully responsive one-page sites for pretty much anything [](https://carrd.co/) A free platform for building simple, fully responsive one-page sites for pretty much anything. Webflow: Create a custom website | No-code website builder [](https://webflow.com/) Create professional, custom websites in a completely visual canvas with no code. Learn how to create a website by trying Webflow for free! Google Sites: Sign-in [](https://sites.google.com/) FlutterFlow - Build beautiful, modern apps incredibly fast! [](https://flutterflow.io/) FlutterFlow lets you build apps incredibly fast in your browser. Build fully functional apps with Firebase integration, API support, animations, and more. Export your code or even easier deploy directly to the app stores! Free Website Builder: Build a Free Website or Online Store | Weebly [](https://www.weebly.com/) Weebly’s free website builder makes it easy to create a website, blog, or online store. Find customizable templates, domains, and easy-to-use tools for any type of business website. Glide • No Code App Builder • Nocode Application Development [](https://www.glideapps.com/) Create the apps your business needs, without coding, waiting or overpaying. Get started for free and build an app today Adalo - Build Your Own No Code App [](https://www.adalo.com/) Adalo makes creating apps as easy as putting together a slide deck. Turn your idea into a real native app — no code needed! Siter.io - The collaborative web design tool, no-code website builder [](https://siter.io/) Siter.io is a visual website builder for designers. Prototype, design, and create responsive websites in the browser. Work together with your team in one place. Elementor: #1 Free WordPress Website Builder | Elementor.com [](https://elementor.com/) Elementor is the platform web creators choose to build professional WordPress websites, grow their skills, and build their business. Start for free today! No code app builder | Bravo Studio [](https://www.bravostudio.app/) Your no-code mobile app builder for iOS and Android. Create MVP’s, validate ideas and publish on App Store and Google Play Store. Home [](https://typedream.com/) The simplest way to build a website with no-code, as easy as writing on Notion. Try Typedream for free and upgrade for custom domains, collaborators, and unlimited pages. Free Website Builder | Create a Free Website | Wix.com [](https://www.wix.com/) Create a website with Wix’s robust website builder. With 900+ strategically designed templates and advanced SEO and marketing tools, build your brand online today. Free responsive Emails & Landing Pages drag-and-drop Editor | BEE [](https://beefree.io/) Free responsive emails and landing pages editor. With BEE drag-and-drop builders embedded in many software applications you can start designing now! Home [](https://typedream.com/) The simplest way to build a website with no-code, as easy as writing on Notion. Try Typedream for free and upgrade for custom domains, collaborators, and unlimited pages. Ownit Connected Checkout [](https://www.ownit.co/) Ownit Connected Checkout Bookmark.com | No-code Website Builder to Start Your Business [](https://www.bookmark.com/) Our AI powered platform ensures your business is future proof. Try Bookmark for free. The best way to build web apps without code | Bubble [](https://bubble.io/) Bubble introduces a new way to build software. It’s a no-code tool that lets you build SaaS platforms, marketplaces and CRMs without code. Bubble hosts all web apps on its cloud platform. Responsive Web Design | Website Creation | Editor X [](https://www.editorx.com/) Experience the future of website design with responsive layouts, CSS precision and smooth drag and drop. Create a Website for Free. Tilda Website Builder [](https://tilda.cc/) Create a website, online store, landing page with Tilda intuitive website builder. Build your site from hundreds of pre-designed templates and publish it today. No code required. No-code headless commerce and websites | Unstack Inc. [](https://www.unstack.com/) Deploy high performance eCommerce storefronts and websites without the engineering overhead using Unstack's no-code CMS Best Drag-and-Drop Website Builder | Jemi [](https://jemi.so/) The modern website builder for creatives, entrepreneurs, and dreamers. Build a beautiful link in bio site, portfolio, or landing page in minutes. No-code website builder that works like Notion [](https://popsy.co/) Create a beautiful no-code website in minutes. Popsy works just like Notion but is built from the ground up for building websites. Choose a free template. Edit content just like in Notion. Customize styles without code. Free Notion icons and illustrations. Unbounce - The Landing Page Builder & Platform [](https://unbounce.com/) Grow your relevance, leads, and sales with Unbounce. Use Unbounce to easily create and optimize landing pages for your small business and boost conversions with AI insights. Low-code Front-end Design & Development Platform | TeleportHQ [](https://teleporthq.io/) Front-end development platform, with a visual builder and headless content modelling capabilities. Static website creation, and UI development tools. Other tools used in no code website MemberSpace - Turn any part of your website into members-only with just a few clicks [](https://www.memberspace.com/) Create memberships on your website for anything you want like courses, video tutorials, member directories, and more while having 100% control over look & feel. Triggre | The number one true no-code platform to run your business [](https://www.triggre.com/) The best no-code platform to create highly advanced business applications in hours, without programming. Try it now for free! No code game builder Welcome to Buildbox [](https://signup.buildbox.com/) Welcome to Buildbox Flowlab Game Creator - Make games online [](https://flowlab.io/) Flowlab is an online game creator. Make your own games to share with friends. Make 2D Games With GameMaker | Free Video Game Maker [](https://gamemaker.io/) Make a game with GameMaker, the best free video game engine. Perfect for beginners and professionals. Learn to build your own 2D games with our simple tutorials. Side Hustle Side Hustle Stack [](https://sidehustlestack.co/) Side Hustle Stack is a resource for finding platform-based work, ranging from gig work and side hustles to platforms that help you start a small business that can grow. Fiverr [](https://www.fiverr.com/) Remotasks: Work From Home, Online Bootcamp Training [](https://www.remotasks.com/en) Make money doing tasks. Start earning today! Free bootcamp training offered online. Sign up for a free Remotasks account and work from home. Earn up to $200/month. Transcribe Speech to Text | Rev [](https://www.rev.com/) Transcribe Speech to Text with Rev. Reach your audience with clear and accurate captions, transcripts, and subtitles. AI Training Data and other Data Management Services [](https://www.clickworker.com/) AI training data, SEO texts, web research, tagging, surveys and more - Use the crowdsourcing principle with the power of >4.5M Clickworkers. Automate your Busy Work - Byron People-Powered Assistants [](https://www.hibyron.com/) Byron is an on demand US based virtual assistant platform that gives individuals and teams the ability to quickly outsource their non-essential tasks. Jobs Websites - Remote Latest Crypto Jobs, Web3 Jobs and Blockchain Jobs in the leading tech companies. [](https://cryptojobslist.com/) New Cryptocurrency Jobs, Web3 Jobs and Blockchain Jobs on CryptoJobsList — the leading site to find and post jobs. Connect with companies hiring in a few clicks and begin your next experience in the industry. Updated daily. Remote Jobs: Design, Marketing, Programming, Writing & More [](https://justremote.co/) Discover Remote Jobs from around the world. Give up the commute, work remotely and do what you love, daily, from anywhere. Find your perfect remote development, design, sales or marketing job today. Remote Ok [](https://remoteok.com/) Hire Freelancers & Remote Workers For Free [](https://talent.hubstaff.com/) Find and hire the highest quality freelancers from around the world - for free. Choose from thousands of developers, digital marketers, creatives and more. We Work Remotely: Remote jobs in design, programming, marketing and more [](https://weworkremotely.com/) Find the most qualified people in the most unexpected places: Hire remote! We Work Remotely is the best place to find and list remote jobs that aren't restricted by commutes or a particular geographic area. Browse thousands of remote work jobs today. Angel [](https://angel.co/) Remote Work: Jobs, Companies & Virtual Teams - Remote.co [](https://remote.co/) Remote.co is the definitive remote work job board for online job seekers and companies hiring. Start your remote job search here! FlexJobs: Best Remote Jobs, Work from Home Jobs, Online Jobs & More [](https://www.flexjobs.com/) The #1 job search site for hand-screened flexible and remote jobs (work from home jobs) since 2007. Plus get resume, coaching and career help. Join today! Remote jobs remotefront.io [](https://remotefront.io/) All remote jobs at remotefront.io Daily Virtual Events Helping You Grow Professionally [](https://powertofly.com/) PowerToFly is where you receive expert career advice, free video training, coaching and exclusive access to jobs and events at top companies. Best Remote and Work from Home Jobs - Virtual Vocations [](https://www.virtualvocations.com/) Best work from home jobs and remote jobs in over 50 categories for professionals, digital nomads, telecommuting workers and entry level jobseekers. Education, healthcare, medical, customer support and tech job openings. Remote Jobs | Working Nomads [](https://www.workingnomads.com/jobs) Remote jobs for digital working nomads. Start your telecommuting career and work remotely from home or places around the world. Job Search, Companies Hiring Near Me, and Advice | The Muse [](https://www.themuse.com/) Find jobs at the best companies hiring near you and get free career advice. Startupers [](https://www.startupers.com/) NoDesk - Where Everyone Works Remote [](https://nodesk.co/) Browse and apply to the best new remote jobs at leading remote companies and startups for free. Join hundreds of companies that use NoDesk to build their remote teams. Browser Extensions Blackbox - Select. Copy. Paste & Search - Magazinul web Chrome [](https://chrome.google.com/webstore/detail/blackbox-select-copy-past/mcgbeeipkmelnpldkobichboakdfaeon) Fastest Way to Copy Text from Videos & Images Octotree - GitHub code tree - Magazinul web Chrome [](https://chrome.google.com/webstore/detail/octotree-github-code-tree/bkhaagjahfmjljalopjnoealnfndnagc) GitHub on steroids WhatFont - Chrome Web Store [](https://chrome.google.com/webstore/detail/whatfont/jabopobgcpjmedljpbcaablpmlmfcogm?hl=en) The easiest way to identify fonts on web pages. Window Resizer - Chrome Web Store [](https://chrome.google.com/webstore/detail/window-resizer/kkelicaakdanhinjdeammmilcgefonfh?hl=en) Resize the browser window to emulate various screen resolutions. Amino: CSS Editor - Magazinul web Chrome [](https://chrome.google.com/webstore/detail/amino-css-editor/pbcpfbcibpcbfbmddogfhcijfpboeaaf) Live CSS Editor. Write custom CSS for any website and see your changes in real time. Checkbot: SEO, Web Speed & Security Tester 🚀 - Chrome Web Store [](https://chrome.google.com/webstore/detail/checkbot-seo-web-speed-se/dagohlmlhagincbfilmkadjgmdnkjinl?hl=en) Test SEO/speed/security of 100s of pages in a click! Check broken links, HTML/JavaScript/CSS, URL redirects, duplicate titles... Honey: Automatic Coupons & Rewards - Magazinul web Chrome [](https://chrome.google.com/webstore/detail/honey-automatic-coupons-r/bmnlcjabgnpnenekpadlanbbkooimhnj) Save money and earn rewards when you shop online. Tango: screenshots, training, & documentation - Magazinul web Chrome [](https://chrome.google.com/webstore/detail/tango-screenshots-trainin/lggdbpblkekjjbobadliahffoaobaknh) Automatically create beautiful step-by-step guides with screenshots, in seconds. No code browser automation | axiom.ai [](https://axiom.ai/) Build browser bots quickly, without code. Automate website actions and repetitive tasks using just your browser, on any website or web app. No Code Browser extensions builder Bildr - Visual Web Development in your Browser [](https://www.bildr.com/) Visually build SaaS products, Chrome extensions, and web3 dApps Other Repurposing content for social media the easy way » Repurpose.io [](https://repurpose.io/) Repurposing content for social media made easy. Automatically repurpose YouTube, TikTok, Lives, Podcasts, and Zoom calls. Try it for FREE. Smart Serials: Your serial numbers database [](https://smartserials.com/) This is your main source of free serial numbers, unlock keys in a clean environment safe to browse by all ages. Old versions of Windows, Mac and Linux Software, Apps & Abandonware Games - Download at OldVersion.com [](http://www.oldversion.com/) Online Room Planner - Design Your Room [](http://www.planyourroom.com/) Planyourroom.com is a wonderful website to redesign each room in your house by picking out perfect furniture options to fit your unique space. BoredHumans.com - Fun AI Programs You Can Use Online [](https://boredhumans.com/) Fun AI programs you can use online. AI games, fake people, computer generated art, machine learning demos, and more. BNProject | Home [](https://buynothingproject.org/) Open Source Alternatives to Proprietary Software [](https://www.opensourcealternative.to/) Discover 400+ popular open source alternatives to proprietary SaaS. URL Shortener - Short URLs & Custom Free Link Shortener | Bitly [](https://bitly.com/) Bitly’s Connections Platform is more than a free URL shortener, with robust link management software, advanced QR Code features, and a Link-in-bio solution. TinEye Reverse Image Search [](https://tineye.com/) Good Books | Books recommended by successful people [](https://www.goodbooks.io/) Looking for the best books to read in 2022? Discover the best book recommendations from the world's most successful, influential and interesting people. Directory - Website Recommendations [](https://tokapps.com/directory/) 0 TRIED & TESTED WEBSITES LISTED Insanely Useful Websites A combination of useful websites for businesses, freelancers, DIYers, and individuals in a centralised area.All websites have been tried and tested. Filter Websites Audio Business Tools Copywriting Design Entertainment Graphics Guides Health Marketing PC Resources Savings SEO Software Travel Video Apply filter Watch Anime Online, Free Anime Streaming Online on Zoro.to Anime Website [](https://zoro.to/) Zoro is a Free anime streaming website which you can watch English Subbed and Dubbed Anime online with No Account and Daily update. WATCH NOW! Animated Drawings [](https://sketch.metademolab.com/) Bring children's drawings to life, by animating characters to move around! Alternativeto [](https://alternativeto.net/) Chatroulette [](https://chatroulette.com/) Random meetings around the world Tiktok Downloader - Download Video tiktok Without Watermark - SnapTik [](https://snaptik.app/en) TikTok Video Downloader - SnapTik.App is one of the best free Download video Tiktok No Watermark tool available online. You can download TikTok video from any device you have. Imgflip - Create and Share Awesome Images [](https://imgflip.com/) Flip through memes, gifs, and other funny images. Make your own images with our Meme Generator or Animated GIF Maker. Fake Text Message | Make Fake Text Conversation [](https://ifaketextmessage.com/) Fake Text Message is a tool to create a Fake Text Conversation and a Fake iMessage. ✂Templatemaker ︎ [](https://www.templatemaker.nl/en/) Omni Calculator [](https://www.omnicalculator.com/) Omni Calculator solves 2960 problems anywhere from finance and business to health. It’s so fast and easy you won’t want to do the math again! Watch Movies Online Free | Watch Series HD Free [](https://hdtoday.tv/) Free Access to the Biggest library of HD Movies and HD Series online - NO ADS - No Account Required - Fast Free Streaming Students Answers - The Most Trusted Place for Answering Life's Questions [](https://www.answers.com/) Answers is the place to go to get the answers you need and to ask the questions you want Wolfram|Alpha: Computational Intelligence [](https://www.wolframalpha.com/) Compute answers using Wolfram's breakthrough technology & knowledgebase, relied on by millions of students & professionals. For math, science, nutrition, history, geography, engineering, mathematics, linguistics, sports, finance, music… Online Math Tools - Simple, free and easy to use math utilities [](https://onlinemathtools.com/) World's simplest collection of useful mathematics utilities. Generate number sequences, draw fractals, do quick matrix and numerical calculations and more! edX | Free Online Courses by Harvard, MIT, & more | edX [](https://www.edx.org/) Access 2000 free online courses from 140 leading institutions worldwide. Gain new skills and earn a certificate of completion. Join today. Sci-Hub [](https://sci-hub.hkvisa.net/) Sci-Hub,mg.scihub.ltd,sci-hub.tw,The project is supported by user donations. Imagine the world with free access to knowledge for everyone ‐ a world without any paywalls. DigitalDefynd - Find the Best + Free Courses Online [](https://digitaldefynd.com/) 4 Million+ Learners | 96,000+ Courses | 45,000+ Free Courses | 1200+ Free Certificates Learn Anything [](https://learn-anything.xyz/) Search Interactive Mind Maps to learn anything HubSpot Academy - Homepage [](https://academy.hubspot.com/) HubSpot Academy is the worldwide leader in inbound marketing, sales, and customer service/support training.

AI Tools for Small Business - 7 Ways Small Business Can Use AI Today

Extended 30 Day HighLevel Trial: https://www.gohighlevel.com/philipvandusen So, how can small businesses leverage all the AI tools that are flooding the market? There is so much it’s overwhelming! As small businesses navigate the competitive landscape, AI technologies offer a lifeline, enabling smarter decisions, enhanced customer connections, and expansion into new markets. From revolutionizing content creation with tools like ChatGPT to transforming social media strategies and personalizing email marketing, AI is redefining how small businesses engage with their audience. We’ll dive deep into using AI for marketing automation, competitor insights, local SEO mastery, engaging customers through chatbots, and converting website visitors into loyal customers. With practical insights and our sponsor HighLevel's platform, small businesses can now leverage AI tools to optimize their operations and marketing efforts. Keywords: AI Tools, Small Business, Growth, AI Technologies, Smarter Decisions, Customer Connections, Markets, Content Creation, ChatGPT, Social Media Strategies, Email Marketing, Personalizing, CRM, Marketing Automation, Competitor Insights, Local SEO, Chatbots, Converting Website Visitors, Operations, HighLevel #ai #smallbusiness #marketing WEBSITE https://www.philipvandusen.com BRAND•MUSE NEWSLETTER https://www.philipvandusen.com/muse BONFIRE: The Mastermind Community for Established Creative Pros https://philipvandusen.com/bonfire CREATIVE PROFESSIONAL COACHING https://philipvandusen.com/oneonone BRAND CONSULTING https://philipvandusen.com/brand-consulting BRAND STRATEGY 101 COURSE https://philipvandusen.com/bs101 BRAND DESIGN MASTERS PODCAST https://podcast.branddesignmasters.com/subscribe YOUTUBE https://www.youtube.com/c/philipvandusen LINKEDIN https://www.linkedin.com/in/philipvandusen/ THREADS https://www.threads.net/@philipvandusen FACEBOOK https://www.facebook.com/philipvandusen.agency/ INSTAGRAM https://www.instagram.com/philipvandusen/ BRAND DESIGN MASTERS FACEBOOK GROUP https://www.facebook.com/groups/branddesignmasters/ AFFILIATE PARTNERS: Bring Your Own Laptop - Adobe Training with Daniel Scott https://www.byol.me/philip GO HIGHLEVEL: https://www.gohighlevel.com/philipvandusen Tubebuddy https://www.tubebuddy.com/philipvandusen Philip VanDusen is a branding consultant and the owner of a brand strategy and design agency based in New Jersey. Philip is a highly accomplished creative executive and expert in brand strategy, graphic design, marketing and creative management. Philip provides design, branding, marketing, career and business advice to creative professionals, entrepreneurs and companies on building successful brands for themselves and the clients and customers they serve.

BEST FIGMA AI TOOLS for UI/UX Designers 2024⚡️| Saptarshi Prakash #shorts

AI will definitely replace UI/UX Designers who are not using these Free Figma AI Plugins in their Designs: Magestic | AI-powered icons and illustrations: https://www.figma.com/community/plugin/1148175024770495469/magestic-ai-generated-icon-sets Wireframe Designer | AI-Powered Wireframes: https://www.figma.com/community/plugin/1228969298040149016/wireframe-designer FigGPT | ChatGPT-powered plugin for website copies: https://www.figma.com/community/plugin/1207913933994957698/figgpt Make sure to leave a LIKE, and SUBSCRIBE for more Figma Plugins & UI/UX Design Tips! Share your thoughts in the comments below! 📩 Join my community: https://nas.io/sapta Join my Instagram broadcast channel to never miss an update: https://ig.me/j/AbadG67M--mvwepf/ Get on a call with me: https://topmate.io/sapta Buy me a coffee: https://www.buymeacoffee.com/saptarshipr 😃 ABOUT ME This is Saptarshi (a.k.a. Sapta), an engineer turned self-taught Product Designer based out of Bangalore, India. I have worked with some of the very well known startups of India and learned anything and everything that is needed to create amazing experiences for the users. I'm also an active speaker, teacher and community builder, and have delivered over 60 talks, workshops and webinars on design. In this channel, I post videos with tips, strategies, tutorials and general gyaan to scale your career in Design. If you are into it, you may want to subscribe and hit the bell icon to that you don't miss out :) 💻 📷 🎤 MY GEAR My Desk: https://bengaluru.featherlitestore.com/product/motorized-height-adjustable-table/ Sony A7iv: https://amzn.to/3KQZ0LM (Primary camera) Samyang 24-70mm F2.8 lens: https://amzn.to/3qDYHx0 Sony a6300: https://amzn.to/3gIx0v1 (Secondary Camera) Sigma 16mm F1.4 lens: https://amzn.to/38DFPRR Sony 50mm F1.8 lens: https://amzn.to/3rufcaB Samson G-Track Pro condenser mic: https://amzn.to/37Rixsw Rode Wireless Go 2 : https://amzn.to/3KQXBU0 Boya Lavalier Mic: https://amzn.to/2M0MZI7 Godox SL60w light : https://amzn.to/3HgSU3O Godox SB-UE 80cm softbox : https://amzn.to/3GdNq8h DIGITEK DTR 500 BH (60 Inch) Tripod: https://amzn.to/39d1m48 📲 SOCIALS Instagram: https://www.instagram.com/saptarshiux/ Twitter: https://twitter.com/saptarshipr Dribbble: https://dribbble.com/saptarshipr LinkedIn: https://www.linkedin.com/in/saptarshipr/ Medium: https://medium.com/@saptarshipr 🎶 MUSIC The jingles and the background score is composed by Sargam Prakash, an awesome designer and musician. Do check out his channel. Sargam Prakash: https://www.youtube.com/user/sargampr 🌟 TAGS BEST FIGMA AI TOOLS for UI/UX Designers,figma plugins,figma ai plugins,figma tools,figma ai tools,figma ui design,figma design plugins,figma update,figma ai,figma,ui ux design,figma design,ui ux designer 2023,ui/ux design,ux design,user experience design,ui/ux design india,figma tutorial,figma tutorial for beginners,ux,ui,design,ui design,ui ux,uiux,ai tools,chatgpt,openai,ui ux design tutorial for beginners,sapta,saptarshipr,saptarshi,prakash,swiggy 🌟 HASHTAGS #uiux #design #graphicdesign

7 AI Tools to save you time, money & run your business

Powerful AI productivity tools that can help you run your business. -- FREE SHOPIFY TRIAL -- Build your business using a FREE trial of Shopify , one platform with all the ecommerce features you need to start, run, and grow your business. ► https://bit.ly/3NeGcaQ -- FREE SHOPIFY COURSE -- First Day to First Sale https://bit.ly/3oMGoF3 #shorts

10 AI Tools To Run Your Business from A to Z

Top 10 AI Tools for business needs. ✅ FREE Shopify Trial ► https://bit.ly/3HP9YQm -- FIRST DAY TO FIRST SALE FREE COURSE -- Sign up HERE: https://bit.ly/3VJFiWP -- FREE DOWNLOADS -- ► List Of Business Ideas https://bit.ly/42eLKYa ► Buyer Persona Template https://bit.ly/3VH7J7y ► Market Research Competitor Analysis https://bit.ly/3B53VUf ► Value Proposition Template https://bit.ly/44BVhdn ► Brand Essential Worksheet https://bit.ly/42gm11m ► Brand Positioning Analysis https://bit.ly/3LHXr2y ► Product Development Worksheet https://bit.ly/3HKzEhh ► Product Costing Calculator https://bit.ly/3B543mH ► Product Pricing Calculator https://bit.ly/42eMaxI ► Ecommerce Copywriting Template https://bit.ly/3nxo2rb -- FREE SHOPIFY TRIAL -- Build your business using a FREE trial of Shopify , one platform with all the ecommerce features you need to start, run, and grow your business. ► https://bit.ly/3HP9YQm –––––––––––––––––––––––––––––––––––––––––––– #aiforbusiness #shopify #ai

Learning How to Learn: Powerful mental tools to help you master tough subjects

This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.

Best no-code tools for prototyping AI

building a b2b aI powered saas which will tap into an API and then use RAG. I’m searching for a co founder but an accelerator is interested in my project and I’d like to have a small prototype to show them. I’d also like to develop a small free version that can run on my site for customers to use. I’ve been looking at bubble but would appreciate any suggestions (especially free) that’s good for a non-techie (who actually enjoys building things and learning too hehe)

Do you know of any AI tools for digital marketing and SEO that would work well for a small, new holistic therapy business? I’m looking for affordable options since I haven’t made a profit yet and can’t afford paying a marketing professional.

Hi there! I’m looking for suggestions on a great AI tool to help with digital marketing for my new small holistic therapy business. My goal is to rank #1 on Google, and I understand this involves SEO, which I know can be complex and requires expertise. If I could afford it, I’d definitely hire a professional, but for now, I’m hoping AI can provide some support. I’m also looking for help with content creation, promotion, and similar tasks. Do you have any valuable recommendations? I currently use the free version of ChatGPT for basic tasks and am considering upgrading to the paid version—would that be a good move for digital marketing and SEO? Any related to the questions advice or recommendations would be greatly appreciated!

I’m sharing my learnings on how to use ChatGPT and other AI tools to generate leads, automate and grow my business.

Ok! I've been diving deep into how I can streamline and optimize my lead gen processes, and the things I've discovered have been mind-blowing. Recently came across a term called "EmotionAI". Wondered if anyone here has jumped on this and started implementing for lead gen? According to Exploding Topics, searches for "emotion AI" have increased by 525% over the past five years. Simply put, the tech can be used to provide more personalized experiences. And we all know that more personalized outreach means more likely conversions. As the AI market continues to grow, this will become increasingly mainstream. So, I thought why not share my learnings and real-life examples of how to use some these AI coupled with good ol’ chatGPT to grow. The first newsletter issue went out today. I plan to send every other Saturday but I might send every Saturday, still undecided. Anyway please check it out and subscribe if you want. Also let me know if you found it insightful.

Anyone had luck with automating bookkeeping/expense reporting with AI tools? DEXT integrations? Looking for advice.

Shorty story - business growing faster than we can keep up, full-time bookkeeper/controller is overwhelmed. Bookkeeper is old-fashioned - we’re using quickbooks desktop, and a pile of manual entry. I think technology can help with a bunch of the data entry, but don’t know where or how to start. Has anyone had any luck with integrations like DEXT or DocuClipper to import csv files for things like bank statements and credit card statements? Looking for any advice or success stories on streamlining the paperwork. I don’t think another person is the answer!! Please help!!

What AI tools sounds best for you?

Hey, I'm a developer who's been lurking here for a while and I want to build something actually useful or at least fun(or both) that is AI-related. Here are 4 ideas (but I'm open to completely different ones): AGI Timeline Prediction Market (🎯 no real money, just bragging rights) Finally settle those "AGI by 2030?" debates with some skin in the game Watch your prediction accuracy score climb (or hilariously tank) Monthly milestone tracking to see who really knows their stuff Like fantasy football, but for the robot apocalypse AI Model Release Calendar Never miss another GPT launch again Compare models without diving into 50 different Discord servers Clear "what can it actually do?" benchmarks Get pinged when something wild drops Research Paper Difficulty Rater Browser extension that saves you from opening papers way above your pay grade Community ratings from "ELI5" to "PhD Required" Shows what you need to know before diving in "Time to comprehend" estimates (coffee breaks vs weekend projects) AI Progress Newsletter + Extension Track what you've actually read vs. saved for "later" (we all know how that goes) Weekly TL;DR of the important stuff Focus on real breakthroughs, not just PR Impact ratings from "neat trick" to "call Elon" Before I dive in and build one of these - has anyone seen something similar already? What would make these actually useful vs just another tool that collects dust? P.S. Open to wildly different ideas or improvements too. Maybe we need something completely different to track our march towards AGI?

What are the top AI tools to work with in 2023?

Thought this was a cool graphic - pulled from this free resource (https://buildspace.so/notes/ai-stack-2023) Anything missing? https://preview.redd.it/ip41flonm9ba1.png?width=456&format=png&auto=webp&s=60c73b5d8fc50212c8e0fe8815b2d25f970ad34c

[D] When asked what not-yet-existing tool they wish they had, the IBM AI team said tools to automate and generate training data. Is there a subfield for ML models to clean and format training data?

JS - A tool to automatically generate all the training data that we need...the problem is, however, development of this tool will likely need training data as well. FT - Agree with all of the above. But in particular for Conversational AI (where I spend most of my time with Watson Assistant) - any automation tool that could take a client’s data and automatically build out intent/entity recognition AND the dialog. RP - Once you are in the trenches, you realize, it all starts from data. I wish we had a tool that takes noisy data and makes it clear for AI - all automatically. Enterprises soon realize, they spend most of the time in getting data ready for AI, from different formats, in different places with different permission, with tons of noise. An automation tool to make that "look ma - no hands" will be great! I am thinking, what sort of model would you use for this? What training data would you feed it? How would you generate that data?

[P] I made an automation to launch AI Tools with 100+ AI Directories

I've noticed that AI startup founders often face challenges when trying to attract their first 1000 users. It can be quite a hurdle! Here's an idea that might help boost your website's visibility without getting into all the technical SEO stuff – consider AI directories. They're like a hidden gem for improving your online presence. I came across a list of over 100 directories where you can showcase your AI tool. What makes this list valuable is that it includes directories that are: Already popular and have a lot of visitors. On the rise, meaning they're growing quickly. Actively maintained and engaged with by users. So, to make life easier for fellow AI startup builders, I've put together a project that simplifies the submission process using this curated list. It's a straightforward way to get your AI tool in front of potential users without diving deep into complex marketing strategies.

How are you using AI tools for cost-cutting in your businesses? Which specific AI tools have proven effective for you, and in what areas (e.g., sales automation, content creation, SEO, digital marketing)?

Please share your experiences and any best practices you've discovered.

How are you using AI tools for cost-cutting in your businesses? Which specific AI tools have proven effective for you, and in what areas (e.g., sales automation, content creation, SEO, digital marketing)?

Please share your experiences and any best practices you've discovered.

Most effective, and very latest AI and Automation based tools used in lead generation, prospecting and cold outreach on linked and email?

Top 3

What are your favorite all time marketing automation tools?

I'd still go with Mailchimp for email automations. Obviously Zendesk and Intercom for customer support. Gennova AI for automating social media contents. Zapier for automating verity of certain tasks

After weeks of reading and implementing research papers, I am happy to introduce DeepTrust (deepfake detection AI cybersecurity) - here's a demo of one our new incoming tools to detect voice clones on your twitter feed. Join our waitlist at deeptrust.gg for first access.

I'm trying to create a comprehensive table of the best AI tools to Increase Your Productivity + Automate Your Work- feel free to give some recs so I can add it to the list.

I'm software engineer learning ML and using AI tools. Getting better at it - I created a tool to automate tedious tasks in your browser with AI!

50 Days of Building an AI Startup in 5 Minutes (Strategy, Tools, & Results)

AI To The Rescue: Automate Your Workday Like a Pro With These Tools

No Code AI Tools

Automated machine learning for business leaders to train AI models create AI applications and predictive models

The 19 Best AI Tools for Small Businesses and How to Use Them

New data and insights from 600 sales pros across B2B and B2C teams on how they re using AI

Vibe Coding EXPLAINED in 89 Seconds!

What is Vibe Coding, Why is such a hot topic, how to get started, and what are the dangers. Everything explained in 89 seconds #vibecoding #coding #ai #aicoding #aitools

Coding Is OVER!🤯 Replit AI Agent Builds Apps In Minutes! Vibe Coding Explained

Check out the apps I built: 📚 Learning App: https://learn-flash-master-ishanclips7390.replit.app/ 💪 Fitness Tracker: https://fitness-companion-ishanclips7390.replit.app/ 💰 Finance Tracker: https://mindful-spendings.lovable.app/ In this video, I'll show you 2 powerful and completely free AI tools that will help you build professional applications without any coding knowledge! Instead of spending hours writing complex code, you can now simply describe what you want to build, while AI takes care of the technical stuff. This new approach, called "Vibe Coding," is a great way to bring your ideas to life. Watch the full tutorial to learn how easily you can start building your own apps today. CHAPTERS: 00:00 - Introduction 01:17 - Replit: AI Tool 1 01:45 - Creating a Learning App 07:56 - Lovable: AI Tool 2 08:14 - Creating a Finance Tracker 10:58 - More Examples 12:47 - Conclusion 📸 Instagram: https://bit.ly/ishansharma7390ig Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh 😁 About Me: https://bit.ly/aboutishansharma 📱 Twitter: https://bit.ly/ishansharma7390twt 📝 LinkedIn: https://bit.ly/ishansharma7390li 🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 3 Books You Should Read 📈Psychology of Money: https://amzn.to/30wx4bW 👀Subtle Art of Not Giving a F: https://amzn.to/30zwWbP 💼Rework: https://amzn.to/3ALsAuz Tech I use every day 💻MacBook Air M1: https://amzn.to/2YWKPjG 📺LG 29' Ultrawide Monitor: https://amzn.to/3aG0p5p 🎥Sony ZV1: https://amzn.to/3ANqgDb 🎙Blue Yeti Mic: https://amzn.to/2YYbiNN ⽴Tripod Stand: https://amzn.to/3mVUiQc 🔅Ring Light: https://amzn.to/2YQlzLJ 🎧Marshall Major II Headphone: https://amzn.to/3lLhTDQ 🖱Logitech mouse: https://amzn.to/3p8edOC 💺Green Soul Chair: https://amzn.to/3mWIxZP ✨ Tags ✨ ishan sharma,ai agents,ai agents explained,ai agents 2025,ai assistant,ai agents tutorial,ai agents full guide,ai agent,ai,artificial intelligence,ai agents use cases,replit ai agent,lovable ai tutorial,replit ai tutorial,build app with ai,build app without coding,ai website builder,coding with AI,lovable,lovable tutorial,web development,replit ai agent tutorial,vibe coding,vibe coding tutorial,vibe coding ai,no code app builder,no code, Coding Is OVER! Replit AI Agent Builds Apps In Minutes! Vibe Coding Explained ✨ Hashtags ✨ #ai #aitools #coding

How I'd Use AI in 2025 (If I Could Start Over)

Check out the Artificial Intelligence and Machine Learning Courses by Simplilearn: https://bit.ly/Ishan-AIML With tools like Gemini, DeepSeek, Perplexity, NotebookLM, and many others that are exploding in 2025, it's becoming insanely easier to get things done faster and better. It would be a very long and tiring video if I started talking about every single AI tool on the rise. However, a better option is to talk about how you can actually use these AI tools in your work to achieve maximum output in the shortest period. And that's what you'll be learning today through this video. I've shared a complete step-by-step guide that will give you a better understanding of using AI, resources, and tools to help you get started. This is the perfect time to experiment and experience where AI can actually help us. 📸 Instagram: https://bit.ly/ishansharma7390ig Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh CHAPTERS: 00:00 - Introduction 02:00 - Step 1 05:36 - Step 2 07:15 - Step 3 09:42 - Conclusion 😁 About Me: https://bit.ly/aboutishansharma 📱 Twitter: https://bit.ly/ishansharma7390twt 📝 LinkedIn: https://bit.ly/ishansharma7390li 🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟 3 Books You Should Read 📈Psychology of Money: https://amzn.to/30wx4bW 👀Subtle Art of Not Giving a F: https://amzn.to/30zwWbP 💼Rework: https://amzn.to/3ALsAuz Tech I use every day 💻MacBook Air M1: https://amzn.to/2YWKPjG 📺LG 29' Ultrawide Monitor: https://amzn.to/3aG0p5p 🎥Sony ZV1: https://amzn.to/3ANqgDb 🎙Blue Yeti Mic: https://amzn.to/2YYbiNN ⽴Tripod Stand: https://amzn.to/3mVUiQc 🔅Ring Light: https://amzn.to/2YQlzLJ 🎧Marshall Major II Headphone: https://amzn.to/3lLhTDQ 🖱Logitech mouse: https://amzn.to/3p8edOC 💺Green Soul Chair: https://amzn.to/3mWIxZP ✨ Tags ✨ ishan sharma,ai,ml,artificial intelligence,machine learning,ai engineering,ai career,ai ml jobs,machine learning jobs,machine learning career,how to become ai ml engineer,how to become ai engineer,developer,development,ai developer,ml developer,how to be an ai dev,how to become an ai engineer,ai developer roadmap,ai engineer roadmap,ai developer course,ai developer guide,ai for beginners,how to learn ai,free courses,ai courses,ml courses ✨ Hashtags ✨ #ai #artificialintelligence #aitools

13 AI Tools I Use to Make $480,000/Month

📚 Join the #1 community for AI entrepreneurs and connect with 100,000+ members: https://b.link/aneomc4g 📈 We help entrepreneurs, industry experts & developers build and scale their AI Agency: https://b.link/r3bzuc9u 🤝 Need Al solutions built? Work with me: https://b.link/8ael9wsy 🛠 Build Al agents without coding: https://b.link/ix3d4edm 🚀 Apply to Join My Team at Morningside AI: https://tally.so/r/wbYr52 Promptmetheus: https://promptmetheus.com Cursor: https://www.cursor.com Vapi: https://vapi.ai Google Gemini Deep Research (Gemini Advanced): https://deepmind.google/technologies/gemini Fireflies: https://fireflies.ai Airtable AI: https://www.airtable.com/platform/ai Agentive: https://agentivehub.com Claude: https://claude.ai Perplexity: https://www.perplexity.ai Recraft: https://www.recraft.ai Runway: https://runwayml.com Replicate: https://replicate.com/ostris/flux-dev-lora-trainer/train Relevance AI: https://app.relevanceai.com Timestamps: 00:00 - What We're Covering 01:58 - Tool #1 03:54 - Tool #2 04:57 - Tool #3 06:11 - Tool #4 07:54 - Tool #5 08:43 - Tool #6 10:44 - Tool #7 11:33 - Tool #8 12:26 - Tool #9 13:59 - Tool #10 14:40 - Tool #11 15:57 - Tool #12 17:20 - Tool #13

How To Start A Business Using Only AI

How to Use AI to Start a Business in 2024. ► Shopify Free Trial https://utm.io/uhpKC ► YouTube takes on TikTok Shop with expanded Shopify partnership https://youtube.com/shorts/XdzbDOak9BI?si=eNUZL8AgZK6f0XJg Unlock Your Entrepreneurial Potential with AI! Ever dreamed of starting a business but felt overwhelmed by the complexity? AI is here to revolutionize the way we work! In this video, we'll guide you through the exciting process of launching your own venture using artificial intelligence. Discover how to: Identify profitable niche ideas using AI-powered market research tools Create compelling content with AI-driven writing assistants Design stunning visuals effortlessly using AI design platforms Build and manage your online store without technical expertise Expand your reach by easily adding your products to social media networks like Instagram, YouTube, and TikTok Whether you're a seasoned entrepreneur or just starting out, this video will equip you with the knowledge and tools to turn your business dreams into reality. Get ready to harness the power of AI and embark on a successful entrepreneurial journey! –––––––––––––––––––––––––––––––––––––––––––– Watch More Learn with Shopify Video Tutorials: ► How to Connect Your Shopify Store To Your YouTube Channel https://youtu.be/ymD5M8w-drk?si=tLt52iNd0VKrL5eW ► YouTube Shopping Tutorial: The Best Way To Sell Your Shopify Products on YouTube LIVE https://youtu.be/AUtEP7LTNeg?si=imvS2pUTsLvhcZmT ► How To Create Beautiful Presentations With AI https://youtu.be/BZ_ObFC7NVA ► What is Shopify Magic and Shopify Sidekick? (And How To Use It) https://youtu.be/Y7Rlr5gxPp4 ► Prompt Engineering Tutorial Part 1: An Introduction to AI Prompting https://youtu.be/zBaa8Ct2C-k?si=ZshSj72IdgpGrAN5 ► Prompt Engineering Tutorial Part 2: Text-to-Text https://youtu.be/ZlQHPt86h6s ► Prompt Engineering Tutorial Part 3: Text-to-Image https://youtu.be/6RAStep_3OI ► Prompt Engineering Tutorial Part 4: Text to Video https://youtu.be/QgjL0fNTwHc ► How to Sell on Instagram https://youtu.be/cqmUWuA2w2U –––––––––––––––––––––––––––––––––––––––––––– 🔔 Subscribe to @learnwithshopify for more productivity tutorials and tips for entrepreneurs of all stages. Here's what we'll cover in this video: 0:00 Intro 0:48 Idea generation using AI 2:20 How to market research using AI 3:14 Naming your business using AI 4:44 AI Logo Generator 6:10 AI Product Creation 9:48 How to upload products to your website 12:15 How to list your items on Instagram 13:06 How to list your items on YouTube 13:40 How to list your items on TikTok 14:04 Marketing using AI 15:30 Legalization –––––––––––––––––––––––––––––––––––––––––––– 📈 Related Videos: 20 Mobile AI Apps https://youtu.be/OSAFKU8FL44 TikTok Marketing Tutorial (Organic Strategy) https://youtu.be/SeWNUUEtZOY TikTok Marketing Tutorial (Paid Ads) https://youtu.be/RIy9ZN3B5CA Reddit for Business Tutorial https://youtu.be/FcYtZg1uGMA LinkedIn Ads Tutorial https://youtu.be/WMKldiJ8mEw 🔗 Useful Resources: ► 64 Best Small Business Ideas To Start in 2024 https://utm.io/uhpKB ► Free Shopify Business Course https://utm.io/uhpKE ► Join our Shopify community https://utm.io/uhpKC –––––––––––––––––––––––––––––––––––––––––––– -- TOOLS & RESOURCES – ► Sign Up To Shopify Today https://utm.io/uhpKC ► Shopify Masters Podcast @shopifymasters ► Shopify Podcast https://utm.io/uhlvZ ► 10 Amazing AI Tools For Your Business In 2024 https://youtu.be/TKAO1ykK994 ► 10 ChatGPT Tips & Tricks https://youtu.be/88tVeKj0-7k ► How to make money with Instagram Reels https://youtu.be/U831lmASZRY ► The OFFICIAL Shopify Tutorial - The COMPLETE GUIDE https://youtu.be/ferhOYx1NMo –––––––––––––––––––––––––––––––––––––––––––– #Shopify #aitools #businesscoaching #businessideas

6 Best AI Tools For Business [Effortless Business Productivity]

Register at Reply.io now and get a 75% discount on the first four months using promo code ‘ANDY’: https://bit.ly/3SyU56Q. Act fast—this exclusive offer is only valid until December 31, 2023. A discount is available when you subscribe to the annual plan. Don’t miss out! Thanks to Reply io for sponsoring this video. Our sponsors help us grow the channel and keep making better videos for you. Thanks for your support! 00:00 - Intro 00:07 - #1 Reply.io 02:49 - #2 Second Nature 03:47 - #3 People AI 05:05 - #4 Dooly 06:15 - #5 TLDV 07:28 - #6 Rows LINKS ↓ Click Here To Start AI Automation:https://skool.com/aimate/about Get 1-on-1 AI Consulting: https://calendly.com/andyhafell/andy? Follow me on Twitter: https://twitter.com/theaiandy My AI Video Newsletter: https://andyhafell.ck.page/ab4b146797 Worlds #1 AI Discord Server: https://discord.gg/aTSzxrj6XY Follow on Tiktok: https://www.tiktok.com/@andyhafell Follow on Instagram: https://www.instagram.com/aiandyhafell Follow on Facebook: https://www.facebook.com/Andyhafell Follow on YouTube Shorts: https://www.youtube.com/channel/UCkLB_RfEjSZx567JaPcBRlA Email for Business Inquiries: biz@aiandy.ai

Make $2000 for writing a Blog post | Online Money making with AI | #ai #ytshorts #viral

Want to know more potential ways to make money with AI? Click the link to join my Masterclass Freedom with AI at just $3 to revolutionize you AI career. https://freedomwithai.com #ai #aitools #techreels #chatgpt

Top 5 AI Tools Every Real Estate Agent Needs

✅ Join my Real Estate Learning Community https://powerunituniversity.com 🚀 RESOURCES ➡️ Weekly Newsletter https://chastinjmiles.com/list ➡️ Podcast Spotify https://bit.ly/3Y6HLvj Apple https://apple.co/473jZEH Google https://bit.ly/3Kcao4R === 🚀 CONNECT WITH ME ➡️ Instagram https://www.instagram.com/chastinjmiles ➡️ Facebook Group https://www.facebook.com/groups/powerunitmemberslounge ➡️ TikTok: https://www.tiktok.com/@chastinjmiles ➡️ LinkedIn https://www.linkedin.com/in/chastinjmiles/ ➡️ Twitter https://twitter.com/chastinjmiles 🏡 Buy or Sell your home https://chastinjmilesteam.com/ === Chastin J. Miles is a licensed TX real estate agent with eXp Realty ➡️ Join Me at eXp https://partnerwithcjm.com #realestate #realtor #realestateagent #realestateinvestor #realestateinvesting #realtorlife #realestatesales #business #businessowner #salestips #sales

Forget ChatGPT, Try These 7 Free AI Tools!

🚀 We Are Hiring! APPLY HERE: https://techwiser.com/we-are-hiring https://bard.google.com/ Meet Bard (google.com) https://vidyo.ai/ AI Based Content Repurposing - vidyo.ai https://www.beatoven.ai/ Royalty Free Music by Beatoven | Beatoven.ai https://flair.ai/ Flair https://scribblediffusion.com/ Scribble Diffusion https://runwayml.com/ Runway - Advancing creativity with artificial intelligence. (runwayml.com) https://tome.app/ Tome - The AI-powered storytelling format beatoven.ai 🌟 Please leave a LIKE ❤️ and SUBSCRIBE For More Videos Like This! 🌟 🌟 Follow Us Other Social Media Platforms 🌟 🐦 Twitter: https://twitter.com/TechWiser 👩‍👧‍👦 Facebook: https://www.facebook.com/techwiser 📷 Instagram: https://www.instagram.com/techwiser 🌍 Website: http://techwiser.com 🌟 Team TechWiser 🌟 🙋🏻‍♂️ Video Producer: https://www.instagram.com/praaatiiik 📹 Channel Manager: https://www.instagram.com/iammanubajaj 👨🏻‍💻 Video Editor: https://www.instagram.com/mrdineshji 👨🏻‍💻 Script Writer: https://www.instagram.com/cinesayan 👨🏻‍💻 Video Editor: https://www.instagram.com/shoubhik_sadhu/ #Tech #Smartphones #TeamTechWiser

Trustworthy Generative AI

We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.

Prompt Engineering for ChatGPT

ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work.

Practical AI for Professionals

Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. Examines AI tools and frameworks to enable collaboration effectively and efficiently across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reasoning, and learning as contextualized by societal impact. Equips students with the knowledge and skills necessary to confidently navigate the ever-evolving landscape of artificial intelligence

Introduction to Data Analytics

Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers.

Introduction to AI for Cybersecurity

In "Introduction to AI for Cybersecurity," you'll gain foundational knowledge of how artificial intelligence (AI) is transforming the field of cybersecurity. This course covers key AI techniques and how they can be applied to enhance security measures, detect threats, and secure digital systems. Learners will explore hands-on implementations of AI models using tools like Jupyter Notebooks, allowing them to detect spam, phishing emails, and secure user authentication using biometric solutions.

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the DeepLearning.AI TensorFlow Developer Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Introduction to AI and Machine Learning on Google Cloud

This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.

Fundamentals of Machine Learning and Artificial Intelligence

In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI), which has captured the attention of businesses and individuals alike. You will gain a solid understanding of foundational AI terms, laying the groundwork for a deeper dive into these concepts. Additionally, you will learn about a selection of Amazon Web Services (AWS) services that use AI and ML capabilities. You will gain practical insights into how these tools can be used to solve real-world problems and drive innovation across various industries.

Stanford Introduction to Food and Health

Around the world, we find ourselves facing global epidemics of obesity, Type 2 Diabetes and other predominantly diet-related diseases. To address these public health crises, we urgently need to explore innovative strategies for promoting healthful eating. There is strong evidence that global increases in the consumption of heavily processed foods, coupled with cultural shifts away from the preparation of food in the home, have contributed to high rates of preventable, chronic disease. In this course, learners will be given the information and practical skills they need to begin optimizing the way they eat. This course will shift the focus away from reductionist discussions about nutrients and move, instead, towards practical discussions about real food and the environment in which we consume it. By the end of this course, learners should have the tools they need to distinguish between foods that will support their health and those that threaten it. In addition, we will present a compelling rationale for a return to simple home cooking, an integral part of our efforts to live longer, healthier lives.

AI Python for Beginners

AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course that teaches you to code practical AI applications from day one, even if you've never programmed before. You’ll learn with support from an AI chatbot that can help you get immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You'll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and learn essential programming concepts such as variables, functions, loops, and data structures.

I built something cool hehehe

So after busting my ass off for around 3 weeks and 200+ hours of development time, I finally launched a really cool no-code AI chatbot maker. It was such a huge work as it was something which was pretty complicated in general to build from scratch but I managed to pull it off anyway. How is it different from competition ? I address one pain point specifically: Existing tools are complicated as sh*t. They not only provide 1000000 useless features, but the UI has a million different buttons doing a million different things and it is soooooooo overwhelming. I have tried to make my tool EXTREMELY simple. The UI is really soothing and I got good feedback for it. What do you guys think ? Is it a dumb SaaS ? Or could it make some money ? Shall I try running it for profit, or shall I just sell it ? Will people even buy it lol ? Unfortunately I can’t post link or even pics here otherwise I would get kicked out lolol.

I fell into the builder's trap and need help getting out

Hi r/startups, First-time technical founder here. Two years ago, I decided to leave the 9-5 grind and build something meaningful. Now, I have (what I believe is) a brilliant technical solution but no clear business case. I’m seeking a cofounder with product and marketing expertise to help pivot my project into a viable business - or start a new one. Details below. About Me 36yo, born in Berlin and moved to San Francisco 8 years ago Master's in Software Engineering with 15 years of experience Worked with early-stage startups in Berlin and a venture studio in SF Spent the past years leading a team of 12 shipping enterprise software The tech I've built An AI engine that makes it easy for developers to automate their workflows. It works with code, issues, PRs and integrates with 3rd party systems like error trackers, wikis, ticketing systems, etc. It takes natural language instructions, fulfills them autonomously and responds with a result. The functionality is served as a platform, with an API and an SDK. On top of it, I've built a CLI and a web application with productivity tools for developers. Who and what I'm looking for My main goal is to leave my current job and build a company around a problem that matters to me, ideally with considerable equity. I’m looking for: A cofounder with product and marketing expertise who sees potential in my tech and can help turn it into a successful business—or someone with a strong business case who needs a technical founder. Mentorship from someone experienced in dev tool startups or as a successful solo founder. I’d love to learn from your journey and would be happy to offer my technical expertise or collaborate on projects in return. Happy to answer any questions or provide more details. Cheers!

I spent 6 months on building a tool, and got 0 zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product, Summ, that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

AI No Code

I want to create an artificial intelligence large language model for my startup but I don’t know how to code. Are there any no code tools I can use to accomplish that task or do I need to learn to code? If I need to know how to code what language, tech stacks, technologies etc do I need to know?

My startup does $740k on no code. I have other ideas - should I build those on no code or use AI?

Hey yall - I'm the founder of a startup in the HR tech space. We rely almost entirely on no code (mainly bubble). Bubble can do 90% of what we need it to and then I can use third party tools like supabase for the remaining 10% I love Bubble because I don't know how to code but it still lets me build apps. I'm seeing a lot of action in the ai space about how AI makes coding super easy, and I'm wondering if folks think this is a good time to finally learn to code. I'm HUGE on no code, but I've also seen its limits (bubble specifically sucks at handling complex calculations and the way it handles load is pretty wonky). I've been wanting to learn to code for some time now but it never felt worth it since, again, bubble can get me 90% there. But now it looks like I can use AI to get 100% there What do yall think? Worth dropping no code to learn to code with AI? Or is AI not as advanced at coding as folks make it seem?

Referral program - what would you recommend?

Hi everyone, We’ve developed a platform that uses AI to help users find and apply for grants. After spending quite a bit on marketing, we discovered that warm introductions are far more effective for us than paid ads. That got us thinking: instead of spending our budget on Google Ads, would it make sense to give it directly to the people who bring in customers through referrals? Do any of you have experience with referral programs? Which tools or platforms would you recommend for setting one up? Thanks!

For anyone working on LLM / AI startups

My company (which I will not promote) wrote this blog post in compliance with rule #7 :) Introduction to fine-tuning Large Language Models, or LLMs, have become commonplace in the tech world. The number of applications that LLMs are revolutionizing is multiplying by the day — extraction use cases, chatbots, tools for creatives and engineers. In spite of this, at its core, the LLM is a multi-purpose neural network, dozens of layers deep, designed to simply predict one word after the next. It predicts words by performing billions of matrix multiplication steps based on so-called parameter weights, which are discovered during the model training process. Almost all open-source, open-weight models are trained on a massive amount of text from every conceivable genre and topic. How, then, do researchers and engineers create novel specialized applications? The answer is fine-tuning. In this post, we will demystify the process of fine-tuning and discuss the tradeoffs of other approaches to customizing an LLM. The history of fine-tuning In the ancient days of LLMs, by which we mean five years ago, the primary approaches to customizing an LLM was identical to the approaches to customizing any other deep learning model. A machine learning engineer would have two options: Retrain the entire LLM. This would mean discarding the trained weights and instead only using the open source model’s architecture to train it on a specialized dataset. As long as the amount and diversity of the specialized data is comparable to what the original model was trained on, this can be the ideal method of customizing a model. However, of course, this is a massive waste of resources due to the computational power required and the difficulty of collecting such a massive dataset. Even if an organization could provision enough GPUs, the cost of training modern-day models could cost up to $190 million. Retrain the last few layers of the LLM while keeping the rest of the weights frozen. This is a more efficient method in terms of time and computational power required because it significantly cuts down the number of parameters that need to be trained. However, for most tasks, this leads to subpar quality. Of course, almost everyone chooses to retrain the last few layers. And where there is only one option, the research community saw an opportunity to step in. Soon, the LLM space saw an enormous amount of activity in fine-tuning, which leads us to today. Modern approaches to fine-tuning Most fine-tuning approaches today are parameter-efficient. Deep neural networks are composed of matrices and vectors (generally called tensors), which are at their core arrays of floating point numbers. By training a small subset of these tensors, while the rest of the LLM’s weights are kept frozen, practitioners achieve good enough results without having to retrain the entire model. Generally, this method requires at least a hundred or so handcrafted examples of input-output pairs for fine-tuning. This is called supervised learning. The modern fine-tuning landscape involves an unsupervised learning step afterwards. Given a set of inputs, a practitioner gathers the various possible outputs from the LLM and casts votes among them. This preference data is then used to further train the LLM’s weights. Usually, this approach is used for LLM alignment and safety, which defends the application from malicious uses, outputs embarrassing to the organization, and prompt injection attacks. Fine-tuning’s relationship to prompt engineering A natural question arises: why fine-tune instead of crafting a well-considered system prompt? Wouldn’t that be easier and more efficient? The answer is no, it wouldn’t. Here’s why: Advanced techniques make prompt engineering obsolete: \[redacted\]'s product uses soft-prompting and other techniques to train the input layer itself. This obviates the need for prompt engineering entirely, which lets organizations avoid the time-consuming trial-and-error process to get the prompt just right. Prompt engineering has been a stopgap measure in the early days of LLM applications to convey the practitioner’s intent to the LLM. It is not the long-term solution for LLM application development. The system prompt is precious: the limited budget for system prompt length is better used for up-to-date information, e.g., Retrieval-Augmented Generation (RAG). Even as context windows increase in size with each new open-source model, the system prompt is the least efficient place to provide the LLM model with verbose instructions and examples. The longer the prompt, the slower the application: an LLM must attend to the entire system prompt for each token generated. This pain becomes more acute in the chatbot case, where the length of the conversation so far is also counted toward the system context. The longer the conversation, and the longer your beautifully-crafted system prompt, the slower the bot becomes. Even in cases where the model allows for system prompts that are millions of tokens long, doubling the size of the context will quadruple the latency. This means adding a few hundred words to the system prompt may result in several seconds of additional latency in production, making a chatbot impossible to use. Edge case handling: the number of edge cases that the system prompt would need to consider and emphasize to the LLM is too large. The instructions would have to be too nuanced and long to cover them all. However, fine-tuning on a dataset that considers these edge cases would be more straightforward. Do I need to fine-tune the LLM in my production application? Every LLM application in production must be fine-tuned often, not just once at the beginning. Why fine-tune? The world in which the application exists is constantly evolving. New prompt injection attacks are being discovered every day, new ways of embarrassing a chatbot are emerging constantly. This data can be used to further train an LLM model, which protects the application from new failure modes and reputational risk. Like any software, LLM models are constantly improving. Smarter and faster models are open-sourced all the time. For a new model to get deployed to production, it must first be finetuned on the specific dataset of the organization building the application. Fine-tuning does not add latency to LLM applications. Rather than a solution that sits in the middle of the LLM and the rest of the application, fine-tuning leverages the power of the LLM itself to increase the quality of the output. In fact, fine-tuning allows for shorter system prompts, which speeds up the average response generation time.

How a founder built a B2B AI startup to serve with 65+ global brands (including Fortune500 companies) (I will not promote)

AI Palette is an AI-driven platform that helps food and beverage companies predict emerging product trends. I had the opportunity recently to sit down with the founder to get his advice on building an AI-first startup, which he'll be going through in this post. (I will not promote) About AI Palette: Co-founders: >!2 (Somsubhra GanChoudhuri, Himanshu Upreti)!!100+!!$12.7M USD!!AI-powered predictive analytics for the CPG (Consumer Packaged Goods) industry!!Signed first paying customer in the first year!!65+ global brands, including Cargill, Diageo, Ajinomoto, Symrise, Mondelez, and L’Oréal, use AI Palette!!Every new product launched has secured a paying client within months!!Expanded into Beauty & Personal Care (BPC), onboarding one of India’s largest BPC companies within weeks!!Launched multiple new product lines in the last two years, creating a unified suite for brand innovation!Identify the pain points in your industry for ideas* When I was working in the flavour and fragrance industry, I noticed a major issue CPG companies faced: launching a product took at least one to two years. For instance, if a company decided today to launch a new juice, it wouldn’t hit the market until 2027. This long timeline made it difficult to stay relevant and on top of trends. Another big problem I noticed was that companies relied heavily on market research to determine what products to launch. While this might work for current consumer preferences, it was highly inefficient since the product wouldn’t actually reach the market for several years. By the time the product launched, the consumer trends had already shifted, making that research outdated. That’s where AI can play a crucial role. Instead of looking at what consumers like today, we realised that companies should use AI to predict what they will want next. This allows businesses to create products that are ahead of the curve. Right now, the failure rate for new product launches is alarmingly high, with 8 out of 10 products failing. By leveraging AI, companies can avoid wasting resources on products that won’t succeed, leading to better, more successful launches. Start by talking to as many industry experts as possible to identify the real problems When we first had the idea for AI Palette, it was just a hunch, a gut feeling—we had no idea whether people would actually pay for it. To validate the idea, we reached out to as many people as we could within the industry. Since our focus area was all about consumer insights, we spoke to professionals in the CPG sector, particularly those in the insights departments of CPG companies. Through these early conversations, we began to see a common pattern emerge and identified the exact problem we wanted to solve. Don’t tell people what you’re building—listen to their frustrations and challenges first. Going into these early customer conversations, our goal was to listen and understand their challenges without telling them what we were trying to build. This is crucial as it ensures that you can gather as much data about the problem to truly understand it and that you aren't biasing their answers by showing your solution. This process helped us in two key ways: First, it validated that there was a real problem in the industry through the number of people who spoke about experiencing the same problem. Second, it allowed us to understand the exact scale and depth of the problem—e.g., how much money companies were spending on consumer research, what kind of tools they were currently using, etc. Narrow down your focus to a small, actionable area to solve initially. Once we were certain that there was a clear problem worth solving, we didn’t try to tackle everything at once. As a small team of two people, we started by focusing on a specific area of the problem—something big enough to matter but small enough for us to handle. Then, we approached customers with a potential solution and asked them for feedback. We learnt that our solution seemed promising, but we wanted to validate it further. If customers are willing to pay you for the solution, it’s a strong validation signal for market demand. One of our early customer interviewees even asked us to deliver the solution, which we did manually at first. We used machine learning models to analyse the data and presented the results in a slide deck. They paid us for the work, which was a critical moment. It meant we had something with real potential, and we had customers willing to pay us before we had even built the full product. This was the key validation that we needed. By the time we were ready to build the product, we had already gathered crucial insights from our early customers. We understood the specific information they wanted and how they wanted the results to be presented. This input was invaluable in shaping the development of our final product. Building & Product Development Start with a simple concept/design to validate with customers before building When we realised the problem and solution, we began by designing the product, but not by jumping straight into coding. Instead, we created wireframes and user interfaces using tools like InVision and Figma. This allowed us to visually represent the product without the need for backend or frontend development at first. The goal was to showcase how the product would look and feel, helping potential customers understand its value before we even started building. We showed these designs to potential customers and asked for feedback. Would they want to buy this product? Would they pay for it? We didn’t dive into actual development until we found a customer willing to pay a significant amount for the solution. This approach helped us ensure we were on the right track and didn’t waste time or resources building something customers didn’t actually want. Deliver your solution using a manual consulting approach before developing an automated product Initially, we solved problems for customers in a more "consulting" manner, delivering insights manually. Recall how I mentioned that when one of our early customer interviewees asked us to deliver the solution, we initially did it manually by using machine learning models to analyse the data and presenting the results to them in a slide deck. This works for the initial stages of validating your solution, as you don't want to invest too much time into building a full-blown MVP before understanding the exact features and functionalities that your users want. However, after confirming that customers were willing to pay for what we provided, we moved forward with actual product development. This shift from a manual service to product development was key to scaling in a sustainable manner, as our building was guided by real-world feedback and insights rather than intuition. Let ongoing customer feedback drive iteration and the product roadmap Once we built the first version of the product, it was basic, solving only one problem. But as we worked closely with customers, they requested additional features and functionalities to make it more useful. As a result, we continued to evolve the product to handle more complex use cases, gradually developing new modules based on customer feedback. Product development is a continuous process. Our early customers pushed us to expand features and modules, from solving just 20% of their problems to tackling 50–60% of their needs. These demands shaped our product roadmap and guided the development of new features, ultimately resulting in a more complete solution. Revenue and user numbers are key metrics for assessing product-market fit. However, critical mass varies across industries Product-market fit (PMF) can often be gauged by looking at the size of your revenue and the number of customers you're serving. Once you've reached a certain critical mass of customers, you can usually tell that you're starting to hit product-market fit. However, this critical mass varies by industry and the type of customers you're targeting. For example, if you're building an app for a broad consumer market, you may need thousands of users. But for enterprise software, product-market fit may be reached with just a few dozen key customers. Compare customer engagement and retention with other available solutions on the market for product-market fit Revenue and the number of customers alone isn't always enough to determine if you're reaching product-market fit. The type of customer and the use case for your product also matter. The level of engagement with your product—how much time users are spending on the platform—is also an important metric to track. The more time they spend, the more likely it is that your product is meeting a crucial need. Another way to evaluate product-market fit is by assessing retention, i.e whether users are returning to your platform and relying on it consistently, as compared to other solutions available. That's another key indication that your solution is gaining traction in the market. Business Model & Monetisation Prioritise scalability Initially, we started with a consulting-type model where we tailor-made specific solutions for each customer use-case we encountered and delivered the CPG insights manually, but we soon realized that this wasn't scalable. The problem with consulting is that you need to do the same work repeatedly for every new project, which requires a large team to handle the workload. That is not how you sustain a high-growth startup. To solve this, we focused on building a product that would address the most common problems faced by our customers. Once built, this product could be sold to thousands of customers without significant overheads, making the business scalable. With this in mind, we decided on a SaaS (Software as a Service) business model. The benefit of SaaS is that once you create the software, you can sell it to many customers without adding extra overhead. This results in a business with higher margins, where the same product can serve many customers simultaneously, making it much more efficient than the consulting model. Adopt a predictable, simplistic business model for efficiency. Look to industry practices for guidance When it came to monetisation, we considered the needs of our CPG customers, who I knew from experience were already accustomed to paying annual subscriptions for sales databases and other software services. We decided to adopt the same model and charge our customers an annual upfront fee. This model worked well for our target market, aligning with industry standards and ensuring stable, recurring revenue. Moreover, our target CPG customers were already used to this business model and didn't have to choose from a huge variety of payment options, making closing sales a straightforward and efficient process. Marketing & Sales Educate the market to position yourself as a thought leader When we started, AI was not widely understood, especially in the CPG industry. We had to create awareness around both AI and its potential value. Our strategy focused on educating potential users and customers about AI, its relevance, and why they should invest in it. This education was crucial to the success of our marketing efforts. To establish credibility, we adopted a thought leadership approach. We wrote blogs on the importance of AI and how it could solve problems for CPG companies. We also participated in events and conferences to demonstrate our expertise in applying AI to the industry. This helped us build our brand and reputation as leaders in the AI space for CPG, and word-of-mouth spread as customers recognized us as the go-to company for AI solutions. It’s tempting for startups to offer products for free in the hopes of gaining early traction with customers, but this approach doesn't work in the long run. Free offerings don’t establish the value of your product, and customers may not take them seriously. You should always charge for pilots, even if the fee is minimal, to ensure that the customer is serious about potentially working with you, and that they are committed and engaged with the product. Pilots/POCs/Demos should aim to give a "flavour" of what you can deliver A paid pilot/POC trial also gives you the opportunity to provide a “flavour” of what your product can deliver, helping to build confidence and trust with the client. It allows customers to experience a detailed preview of what your product can do, which builds anticipation and desire for the full functionality. During this phase, ensure your product is built to give them a taste of the value you can provide, which sets the stage for a broader, more impactful adoption down the line. Fundraising & Financial Management Leverage PR to generate inbound interest from VCs When it comes to fundraising, our approach was fairly traditional—we reached out to VCs and used connections from existing investors to make introductions. However, looking back, one thing that really helped us build momentum during our fundraising process was getting featured in Tech in Asia. This wasn’t planned; it just so happened that Tech in Asia was doing a series on AI startups in Southeast Asia and they reached out to us for an article. During the interview, they asked if we were fundraising, and we mentioned that we were. As a result, several VCs we hadn’t yet contacted reached out to us. This inbound interest was incredibly valuable, and we found it far more effective than our outbound efforts. So, if you can, try to generate some PR attention—it can help create inbound interest from VCs, and that interest is typically much stronger and more promising than any outbound strategies because they've gone out of their way to reach out to you. Be well-prepared and deliberate about fundraising. Keep trying and don't lose heart When pitching to VCs, it’s crucial to be thoroughly prepared, as you typically only get one shot at making an impression. If you mess up, it’s unlikely they’ll give you a second chance. You need to have key metrics at your fingertips, especially if you're running a SaaS company. Be ready to answer questions like: What’s your retention rate? What are your projections for the year? How much will you close? What’s your average contract value? These numbers should be at the top of your mind. Additionally, fundraising should be treated as a structured process, not something you do on the side while juggling other tasks. When you start, create a clear plan: identify 20 VCs to reach out to each week. By planning ahead, you’ll maintain momentum and speed up the process. Fundraising can be exhausting and disheartening, especially when you face multiple rejections. Remember, you just need one investor to say yes to make it all worthwhile. When using funds, prioritise profitability and grow only when necessary. Don't rely on funding to survive. In the past, the common advice for startups was to raise money, burn through it quickly, and use it to boost revenue numbers, even if that meant operating at a loss. The idea was that profitability wasn’t the main focus, and the goal was to show rapid growth for the next funding round. However, times have changed, especially with the shift from “funding summer” to “funding winter.” My advice now is to aim for profitability as soon as possible and grow only when it's truly needed. For example, it’s tempting to hire a large team when you have substantial funds in the bank, but ask yourself: Do you really need 10 new hires, or could you get by with just four? Growing too quickly can lead to unnecessary expenses, so focus on reaching profitability as soon as possible, rather than just inflating your team or burn rate. The key takeaway is to spend your funds wisely and only when absolutely necessary to reach profitability. You want to avoid becoming dependent on future VC investments to keep your company afloat. Instead, prioritize reaching break-even as quickly as you can, so you're not reliant on external funding to survive in the long run. Team-Building & Leadership Look for complementary skill sets in co-founders When choosing a co-founder, it’s important to find someone with a complementary skill set, not just someone you’re close to. For example, I come from a business and commercial background, so I needed someone with technical expertise. That’s when I found my co-founder, Himanshu, who had experience in machine learning and AI. He was a great match because his technical knowledge complemented my business skills, and together we formed a strong team. It might seem natural to choose your best friend as your co-founder, but this can often lead to conflict. Chances are, you and your best friend share similar interests, skills, and backgrounds, which doesn’t bring diversity to the table. If both of you come from the same industry or have the same strengths, you may end up butting heads on how things should be done. Having diverse skill sets helps avoid this and fosters a more collaborative working relationship. Himanshu (left) and Somsubhra (right) co-founded AI Palette in 2018 Define roles clearly to prevent co-founder conflict To avoid conflict, it’s essential that your roles as co-founders are clearly defined from the beginning. If your co-founder and you have distinct responsibilities, there is no room for overlap or disagreement. This ensures that both of you can work without stepping on each other's toes, and there’s mutual respect for each other’s expertise. This is another reason as to why it helps to have a co-founder with a complementary skillset to yours. Not only is having similar industry backgrounds and skillsets not particularly useful when building out your startup, it's also more likely to lead to conflicts since you both have similar subject expertise. On the other hand, if your co-founder is an expert in something that you're not, you're less likely to argue with them about their decisions regarding that aspect of the business and vice versa when it comes to your decisions. Look for employees who are driven by your mission, not salary For early-stage startups, the first hires are crucial. These employees need to be highly motivated and excited about the mission. Since the salary will likely be low and the work demanding, they must be driven by something beyond just the paycheck. The right employees are the swash-buckling pirates and romantics, i.e those who are genuinely passionate about the startup’s vision and want to be part of something impactful beyond material gains. When employees are motivated by the mission, they are more likely to stick around and help take the startup to greater heights. A litmus test for hiring: Would you be excited to work with them on a Sunday? One of the most important rounds in the hiring process is the culture fit round. This is where you assess whether a candidate shares the same values as you and your team. A key question to ask yourself is: "Would I be excited to work with this person on a Sunday?" If there’s any doubt about your answer, it’s likely not a good fit. The idea is that you want employees who align with the company's culture and values and who you would enjoy collaborating with even outside of regular work hours. How we structure the team at AI Palette We have three broad functions in our organization. The first two are the big ones: Technical Team – This is the core of our product and technology. This team is responsible for product development and incorporating customer feedback into improving the technology Commercial Team – This includes sales, marketing, customer service, account managers, and so on, handling everything related to business growth and customer relations. General and Administrative Team – This smaller team supports functions like finance, HR, and administration. As with almost all businesses, we have teams that address the two core tasks of building (technical team) and selling (commercial team), but given the size we're at now, having the administrative team helps smoothen operations. Set broad goals but let your teams decide on execution What I've done is recruit highly skilled people who don't need me to micromanage them on a day-to-day basis. They're experts in their roles, and as Steve Jobs said, when you hire the right person, you don't have to tell them what to do—they understand the purpose and tell you what to do. So, my job as the CEO is to set the broader goals for them, review the plans they have to achieve those goals, and periodically check in on progress. For example, if our broad goal is to meet a certain revenue target, I break it down across teams: For the sales team, I’ll look at how they plan to hit that target—how many customers they need to sell to, how many salespeople they need, and what tactics and strategies they plan to use. For the technical team, I’ll evaluate our product offerings—whether they think we need to build new products to attract more customers, and whether they think it's scalable for the number of customers we plan to serve. This way, the entire organization's tasks are cascaded in alignment with our overarching goals, with me setting the direction and leaving the details of execution to the skilled team members that I hire.

ChatGPT is down! How is your startup product doing?

So it looks like today one of those rare days when OpenAI ChatGPT downtime. I've noticed something interesting - many of my favorite AI tools that use OpenAI under the hood are still operating. This makes me think that the APIs might still be working, even though some services are down. It got me thinking: What gameplan have you all put in place for your products that heavily rely on OpenAI's APIs? How do you handle situations when the API becomes unavailable? I'm curious to hear about your strategies, especially from those who've dealt with previous outages.

Joined an AI Startup with Ex-ShipStation Team - Need Tips on Finding Early Users

Hey Reddit, My name’s Welcome (Yes, that’s really my name), and I’ve been in tech for most of my career, mostly at bigger companies with established brands and resources. But recently, I decided to join a small startup called BotDojo. It’s my first time being part of a small team, and it’s been a pretty eye-opening experience so far. But, like with anything new, I’ve hit a few bumps along the way, and I’m hoping you all might have some advice. A little backstory: BotDojo was started by some of the engineers who used to work together at ShipStation. After ShipStation sold, they spent some time experimenting with AI but kept running into the same problems—having to patch together tools, getting inconsistent results, handling data ingestion, and struggling to track performance. So, they decided to build a platform to help developers build, test, and deploy AI solutions. Since I came on board, my focus has been on finding early users, and it’s been a mixed bag of wins and frustrations. We’ve got a solid group of people using the free version (which is great), but only a few have upgraded to the paid plan so far (ranging from startups to large enterprises). The cool thing is that those who have become paying customers absolutely love the product. It’s just been hard getting more people to that point. We’ve tried a bunch of things: Attending industry events, doing cold email outreach, running social ads (the usual stuff). And while we’ve seen some interest, we’re running into a few challenges:   Learning curve: The software is really powerful, but it takes a week or two for users to really see what it can do. Without a dedicated sales team to walk them through it, it’s been tough getting people to stick around long enough to see the value. Standing out is hard: The AI space is super crowded right now. I think a lot of people see “AI tool” and assume it’s just like everything else out there (even though BotDojo has some awesome features that really set it apart).  Sign-ups, but limited engagement: We’re on a freemium model to make it easy for people to try it out, but that also means we get a lot of bots and people who sign up but don’t really dive in. So, I thought I’d reach out here and see if anyone has been through this early stage before. How did you manage to break through and find those first paying users who really saw the value in what you were building?  Are there any strategies, communities, or tactics that worked particularly well for you? And if you had to do it all over again, what would you focus on? I figure I’m not the only one trying to navigate these waters, so I’m hoping this can be a helpful thread for others too. Thanks so much for reading, and I’d be super grateful for any advice or insights you can share! 🙏

No revenue for 6 months, then signed $10k MRR in 2 weeks with a new strategy. Here’s what I changed.

This is my first company so I made A LOT of mistakes when starting out. I'll explain everything I did that worked so you don't have to waste your time either. For context, I built a SaaS tool that helps companies scale their new client outreach 10x (at human quality with AI) so they can secure more sales meetings. Pricing I started out pricing it way too low (1/10 as much as competitors) so that it'd be easier to get customers in the beginning. This is a HUGE mistake and wasted me a bunch of time. First, this low pricing meant that I was unable to pay for the tools I needed to make sure my product could be great. I was forced to use low-quality databases, AI models, sending infrastructure -- you name it. Second, my customers were less invested in the product, and I received less input from them to make the product better. None ended up converting from my free trial because my product sucked, and I couldn't even get good feedback from them. I decided to price my product much higher, which allowed me to use best-in class tools to make my product actually work well. Outreach Approach The only issue is that it's a lot harder to get people to pay $500/month than $50/month. I watched every single video on the internet about cold email for getting B2B clients and built up an outbound MACHINE for sending thousands of emails a day. I tried all the top recommended sales email formats and tricks (intro, painpoint, testimonial, CTA, etc). Nothing. I could send 1k emails and get a few out of office responses and a handful of 'F off' responses. I felt bad and decided I couldn't just spam the entire world and expect to make any progress. I decided I needed to take a step back and learn from people who'd succeeded before in sales. I started manually emailing CEOs/founders that fit my customer profile with personal messages asking for feedback on my product -- not even trying to sell them anything. Suddenly I was getting 4-6 meetings a day and just trying to learn from them (turns out people love helping others). And without even prompting, many of them said 'hey, I actually could use this for my own sales' and asked how they could start trying it out. That week I signed 5 clients between $500-$4k/month (depending how many contacts they want to reach). I then taught my product to do outreach the same way I did that worked (include company signals, make sure the person is a great match with web research, and DONT TALK SALESY). Now, 6 of my first 10 clients (still figuring out who it works for, lol) have converted from the free trial and successfully used it to book sales meetings. I'm definitely still learning, but this one change in my sales approach changed everything for me, so I wanted to share. If anyone has any other tips/advice that changed their business's sales, would love to hear!

100 AI-Driven Businesses Later… Here’s the Truth No One Tells You! (I will not promote)

I analyzed 100 businesses across industries that implemented AI, and here’s what I found! Most businesses use AI for: Marketing automation (15%) – email copy, ad creatives, SEO research (ChatGPT, Jasper, Copy.ai) Customer support (12%) – AI chatbots handling up to 70% of inquiries before escalation (Intercom, Drift) Data analysis & insights (10%) – AI summarizing reports, trends in seconds (Tableau AI, ChatGPT for spreadsheets) Sales prospecting (10%) – lead scoring, automated outreach (Apollo.io, HubSpot AI) Workflow automation (8%) – connecting tools and automating repetitive tasks (Zapier, Make.com) Biggest AI adoption challenges: 20% couldn’t decide which AI solution would give the highest ROI 15% faced technical difficulties like integration with existing systems 10% struggled to choose the right tools from too many options Honestly, a lot of businesses waste time on AI solutions that don’t align with their needs. I made a quick questionnaire to help find the right ones tailored to your needs. Let me know if you want to check it out.

Building in the open with Founder University - I will not promote

Published Oct 30, 2024 I am on my fifth startup. I ran the last one for a decade, that’s a whole story. A hell of a story. But a different story. I’ll tell it to you when I can, but not right now. The one before that was an e-commerce site that did pretty well but I didn’t love it. Before that were two service businesses. The first one I did for the love of the game, the second one was an attempt to make people stop asking me to fix their computer by charging them outrageous prices, which backfired horribly when they were eager to pay. None are relevant except to say I’ve been around the block and have the scars to prove it. When it was time to get back out there, I wanted to use all I’ve learned to do better. Before I talk about what those lessons produced, I’m going to talk about what those lessons were. Cause before effect, after all. One thing I wanted to do better this time was pattern matching - making the startup look the way that the industry and investors “expect” a startup to look. My last startup was an awesome idea with awesome tech (still is, but like I said, another story), but that one didn’t match patterns. It didn’t match investor patterns, industry buying patterns, patterns of existing, immediate, recognized and admitted needs. Because it didn’t “look” right to anyone, everything about it was way harder than necessary. The “make it look right” approach runs the risk of building a cargo cult, imitating the trappings of something but without understanding the essence of that something, but then again, a thing that looks like a knife is going to make a better knife that a thing that looks like a bowling ball, so sometimes just sharing apparent similarities can get you pretty far, even if it doesn’t get you all the way there. Like how mimicking someone’s accent makes it easier for them to understand you. For this one, I wanted to adopt every tool, method, and pattern that I knew “the industry” wanted to see to minimize the friction from development, go-to-market, scaling, adoption, and that would make investment optional (and, therefore, available if desired) instead of necessary (and, therefore, largely unavailable). That required establishing some expectations for successful patterns I could match against. What patterns am I matching to? Here’s a general sketch of my pattern matching thought process: Software first and software only. It’s the easiest industry to start a business in, lowest startup costs, and easiest customer acquisition. I wanted to build software for an element of the industry that’s actively emerging (and therefore has room to grow) and part of an optimistic investor thesis (and therefore has a cohort of people who are intent on injecting capital into the market to help it grow). It needs to fills a niche that is underexplored (low competition) and highly potent (lots of opportunity), while being aligned to recognized and emerging needs within the industry (readily adopted). I wanted it to have evidence supporting the business thesis that proves the demand exists, but demonstrates that the demand is unanswered (as of yet) by sufficient or adequate supply.* I wanted the lowest number of dominoes to line up and tip for everything to work correctly - the more dominoes in the line, the less likely the last one will fall. I wanted to implement modern toolsets for everything, wherever possible. I wanted to obey the maxim, “When there’s a gold rush, don’t mine the gold, sell the picks and shovels.” Whatever I chose would need to produce cash flow almost immediately with minimal development time or go-to-market delays, because the end of ZIRP killed the “trust me bro” investment thesis predominant over the last 15 years. I wanted to match to YC best practices, not because YC can predict what will definitely work, but because they’ve churned through so many startups in the last 15 years that they have a good sense of what will definitely not work. And I wanted to build client-centric, because if my intent is to to produce cash flow immediately, we need to get clients immediately, and if we need to get clients immediately, we need to focus on what clients need right now. Extra credit: What’s the difference between a customer and a client? Note: Competition is awesome! Competition is validating and not scary, because competition proves a market exists. But competition, especially mature competition against an immature startup, makes it harder to break into a space. A first mover advantage isn’t everything, but seeing demand before it’s sufficiently supplied is a great advantage if you’re capital constrained or otherwise unproven. Think about how much money the first guy to sell fidget spinners or Silly Bandz made versus how much money the last guy to order a pallet of each made. Finding demand that exists already but is as of yet insufficiently satisfied is a great place to start. What opportunity spaces are most relevant? The industries and markets I chose to observe were: AI, because if I’m following a theme & pattern for today, it’s AI. Fintech, because cash is king, and fintech puts your hands on cash flow. Crypto/blockchain, because that’s the “new” fintech (or maybe the “old-new” fintech?), and crypto creates powerful incentives and capital formation strategies, along with a lot of flexibility for transaction systems. Tools, particularly unmet demand in tools, that enable these industries. If you wanted to do some brief and simple homework, you could map each of those bullets to several of the numbered list items preceding them. The reasoning was pretty simplistic - AI is what people want to build and invest in now, while fintech and crypto/blockchain are what people were building and investing in for the last major investment thesis. That means that there’s demand in the market for AI and AI-adjacent startups, while there’s a glut of underutilized and highly developed tools within fintech and crypto/blockchain, with a lot of motivated capital behind the adoption. When someone is thinking “I built this thing and not enough people are using it”, and you then build something that uses it creates a great way to find allies. This rationale harnesses technology that is being built and financed now (which means it needs tools and support methods, and a lot of other “picks and shovels”), while leveraging technology that was recently built and financed and is eager for more widespread adoption of the existing toolkits, which makes it suitable for using to build the AI-adjacent tools that are in demand now. It’s like two harmonics producing constructive interference - it makes two waves into one larger wave, which gives me more momentum to surf against. This was a learning process, and I iterated against my general paradigm repeatedly as I learned more. Neither of us have the patience to go through that in excruciating detail, so I’ll cover the highlights in my next post. Extra credit answer: A customer gets a product, a client gets a service. Challenge: Is software a product or a service?

I spent 6 months on building a tool, and got 0 zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product, Summ, that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

Is my idea + progress good enough to raise pre-seed round? CRM for construction niches. Non-tech founder.

Is my startup idea and progress good enough to raise a pre-seed round? It’s a CRM with meaningful AI integrations for specific type of B2B construction companies. I only want to continue at my current pace if it’s realistic to start raising within the next 2 weeks. At first, I thought it was fine because simple companies still get on Y-comb such as hammr and Relate CRM , but now I’m not sure. Would love to get the community’s thoughts on this. I’ve been working on this for about a week. &#x200B; Key Highlights (You can skip to longer section below) Product is CRM for B2B construction companies. The previous tech company I worked at used an in-house built CRM for their workflow, and I’m creating that solution and applying it to B2B construction companies that have similar workflows. No competitors I’ve found. I’m uniquely positioned to spearhead: B2B SaaS/tech sales + expertise in construction I’m a non-tech sales founder with experience in UI/UX. Will bring on CTO co-founder once I start raising as that would entice better talent Progress + Traction $400 MRR in pre-sales, can get to \~$800-1000 EOM Validated through customer interviews Created some Figma frames, product overview, user journeys, business plan Made a simple but meaningful AI tool that will be available to those that sign up for waitlist. Did this with GitHub + ChatGPT Landing page website going up this week followed by PPC campaign, email marketing, and outreach. My GF works in enterprise sales and she’ll help me generate more leads. &#x200B; Long Version Background B2B SaaS/Tech sales. I worked at enterprise company as an Account Executive where I worked with funded startups and their development, UI/UX, and Product management teams. I have a general knowledge in all these - my best being UI/UX design as I can work with Figma well Domain expertise: my family has had a construction company since I was young. I have a large network because of this. Problem At my previous company, we had a custom in-house built CRM for our workflow. It worked okay, despite being maintained by multiple engineers costing hundreds of thousands a year. I’m creating a CRM that solves that, and applying it to construction industries that can make use of it. I have a great network here which makes it easy for me get sales quickly. Vision Building this CRM for construction niche will allow us to generate MRR fast. We will be first movers in bringing meaningful AI tools to construction, which is generating significant interest. This gives us the opportunity to build the foundational technology that can be adapted to a wider audience such as my previous company and others - think researchers, consultants, etc. Traction + Current Progress (1 week) Validated idea through user interviews and pre-sales. Currently have $400 MRR in pre-sales. I expect $800-1000 in a month if I continue at my pace. This is from doing typical B2B sales. I’ve set up a CRM for this. Created product overview, user journeys, wireframes and some Figma frames, business plan Created a simple but meaningful AI tool for the niche which will be available to those that sign up for the waitlist. Created with GitHub + ChatGPT Completing landing page website this week. Will start PPC ads (I’m experienced in this) after that to generate sign-ups. I’ll also start email marketing from lists I’ve scraped. Team Solo-founder, will bring on CTO co-founder once I start raising funds. I have promising candidates, but feel that I need to raise funds to really entice a good co-founder. I’m uniquely positioned to head this product; B2B sales having worked with many CRMs + construction expertise and network. That said, I’ve never actually done anything that* impressive besides being an AE at a known enterprise techy company (but not FAANG level). &#x200B; I want to acknowledge that my progress might sound more impressive than it is - it's still just a CRM after all, and I'm non-technical. Should I keep going? Advice? I also have a great offer to lead sales at a profitable startup, but I could always do both if it was worth it. I’m feeling really uncertain for some reason :/ maybe it’s just burnout.

Lessons from 139 YC AI startups (S23)

YC's Demo Day was last week, and with it comes another deluge of AI companies. A record-breaking 139 startups were in some way related to AI or ML - up from 112 in the last batch. Here are 5 of my biggest takeaways: AI is (still) eating the world. It's remarkable how diverse the industries are - over two dozen verticals were represented, from materials science to social media to security. However, the top four categories were: AI Ops: Tooling and platforms to help companies deploy working AI models. We'll discuss more below, but AI Ops has become a huge category, primarily focused on LLMs and taming them for production use cases. Developer Tools: Apps, plugins, and SDKs making it easier to write code. There were plenty of examples of integrating third-party data, auto-generating code/tests, and working with agents/chatbots to build and debug code. Healthcare + Biotech: It seems like healthcare has a lot of room for automation, with companies working on note-taking, billing, training, and prescribing. And on the biotech side, there are some seriously cool companies building autonomous surgery robots and at-home cancer detection. Finance + Payments: Startups targeting banks, fintechs, and compliance departments. This was a wide range of companies, from automated collections to AI due diligence to "Copilot for bankers." Those four areas covered over half of the startups. The first two make sense: YC has always filtered for technical founders, and many are using AI to do what they know - improve the software developer workflow. But it's interesting to see healthcare and finance not far behind. Previously, I wrote: Large enterprises, healthcare, and government are not going to send sensitive data to OpenAI. This leaves a gap for startups to build on-premise, compliant \[LLMs\] for these verticals. And we're now seeing exactly that - LLMs focused on healthcare and finance and AI Ops companies targeting on-prem use cases. It also helps that one of the major selling points of generative AI right now is cost-cutting - an enticing use case for healthcare and finance. Copilots are king. In the last batch, a lot of startups positioned themselves as "ChatGPT for X," with a consumer focus. It seems the current trend, though, is "Copilot for X" - B2B AI assistants to help you do everything from KYC checks to corporate event planning to chip design to negotiate contracts. Nearly two dozen companies were working on some sort of artificial companion for businesses - and a couple for consumers. It's more evidence for the argument that AI will not outright replace workers - instead, existing workers will collaborate with AI to be more productive. And as AI becomes more mainstream, this trend of making specialized tools for specific industries or tasks will only grow. That being said - a Bing-style AI that lives in a sidebar and is only accessible via chat probably isn't the most useful form factor for AI. But until OpenAI, Microsoft, and Google change their approach (or until another company steps up), we'll probably see many more Copilots. AI Ops is becoming a key sector. "AI Ops" has been a term for only a few years. "LLM Ops" has existed for barely a year. And yet, so many companies are focused on training, fine-tuning, deploying, hosting, and post-processing LLMs it's quickly becoming a critical piece of the AI space. It's a vast industry that's sprung up seemingly overnight, and it was pretty interesting to see some of the problems being solved at the bleeding edge. For example: Adding context to language models with as few as ten samples. Pausing and moving training runs in real-time. Managing training data ownership and permissions. Faster vector databases. Fine-tuning models with synthetic data. But as much ~~hype~~ enthusiasm and opportunity as there might be, the size of the AI Ops space also shows how much work is needed to really productionalize LLMs and other models. There are still many open questions about reliability, privacy, observability, usability, and safety when it comes to using LLMs in the wild. Who owns the model? Does it matter? Nine months ago, anyone building an LLM company was doing one of three things: Training their own model from scratch. Fine-tuning a version of GPT-3. Building a wrapper around ChatGPT. Thanks to Meta, the open-source community, and the legions of competitors trying to catch up to OpenAI, there are now dozens of ways to integrate LLMs. However, I found it interesting how few B2B companies mentioned whether or not they trained their own model. If I had to guess, I'd say many are using ChatGPT or a fine-tuned version of Llama 2. But it raises an interesting question - if the AI provides value, does it matter if it's "just" ChatGPT behind the scenes? And once ChatGPT becomes fine-tuneable, when (if ever) will startups decide to ditch OpenAI and use their own model instead? "AI" isn't a silver bullet. At the end of the day, perhaps the biggest lesson is that "AI" isn't a magical cure-all - you still need to build a defensible company. At the beginning of the post-ChatGPT hype wave, it seemed like you just had to say "we're adding AI" to raise your next round or boost your stock price. But competition is extremely fierce. Even within this batch, there were multiple companies with nearly identical pitches, including: Solving customer support tickets. Negotiating sales contracts. Writing drafts of legal documents. Building no-code LLM workflows. On-prem LLM deployment. Automating trust and safety moderation. As it turns out, AI can be a competitive advantage, but it can't make up for a bad business. The most interesting (and likely valuable) companies are the ones that take boring industries and find non-obvious use cases for AI. In those cases, the key is having a team that can effectively distribute a product to users, with or without AI. Where we’re headed I'll be honest - 139 companies is a lot. In reviewing them all, there were points where it just felt completely overwhelming. But after taking a step back, seeing them all together paints an incredibly vivid picture of the current AI landscape: one that is diverse, rapidly evolving, and increasingly integrated into professional and personal tasks. These startups aren't just building AI for the sake of technology or academic research, but are trying to address real-world problems. Technology is always a double-edged sword - and some of the startups felt a little too dystopian for my taste - but I'm still hopeful about AI's ability to improve productivity and the human experience.

16 years old and thinking about creating a startup

Hi to everyone, this is my first post on Reddit and r/Startups. Sorry in advance if there is any mistake. I'm 16 years old, and I'm already planning to create my startup. Growing up in the digital age has given me both inspiration and doubts. On one side, you hear advice like, “You need connections with powerful people to succeed.” On the other, there are stories of founders coming from poverty and now leading billion-dollar companies.That really sucks. I'm here because I believe this community offers honest and grounded insights. So you can analyze, I leave you my goals. I accept all the advice you have. I’ll finish high school in two years while using my free time to learn about AI, programming, agile methods, and business basics. After that, I plan to pursue a Systems Engineering degree, even though I’ve debated skipping university. My older siblings convinced me it’s worth it for the professional and technical foundation. During college, I aim to freelance, save money, and build connections with entrepreneurs and developers. Beyond that, my 15-year plan includes working in tech companies to gain experience, creating an MVP for my startup, and securing funding through investors or incubators. I want to solve real-world problems using tools that feel future-proof. While I sometimes feel behind, I’m determined to catch up and take advantage of the opportunities ahead. I know the startup journey is uncertain—like a vulnerable animal facing competition, funding issues, and market challenges. But I’m ready to adapt as my vision evolves. Like for example the time. Obviously I would like to keep it exactly but you never know what can happen along the way. I’d love to hear your thoughts or advice. Thanks in advance, and I apologize if anything is unclear

Why raise in 2025? - I will not promote

I will not promote Lately, I've been thinking about how AI tools are completely reshaping what it means to bootstrap a startup. It honestly feels like we're living through a golden age for entrepreneurs where you don't necessarily need venture capital to build something big or meaningful. At my company, we're a small team of just four people, bootstrapping our AI-focused startup. Thanks to AI-powered tools, we're able to keep our burn rate ridiculously low, quickly test new ideas, and scale our operations way faster than we ever expected. It’s honestly pretty incredible how accessible advanced technology has become, even compared to just a few years ago. Of course, bootstrapping definitely comes with its own share of headaches. For example, we've noticed that funded startups get significantly better access to cloud credits, advertising budgets, and enterprise-level tools. We do have access to some discounts and free resources, but it rarely compares to what funded startups enjoy. This can feel frustrating, especially when you know you're competing directly with businesses that have those extra advantages. Visibility is another major challenge we've noticed. Without big funding announcements or a well-connected investor backing us, getting attention from media or even early adopters can be tough. It's just harder to make a splash without someone else's endorsement. We've had to accept and work around creatively. That said, there's something genuinely empowering about staying bootstrapped, prioritizing profitability, and maintaining control over our vision. After speaking with several investors, we've become aware of how investors can significantly influence or even redirect the trajectory of a business. We've heard stories where investors gained enough leverage to replace the original founders or have killed perfectly profitable businesses that were not growing "fast enough", which certainly gave us pause. They can definitely be helpful but giving the control over the future of my business to someone else would definitely make me feel anxious. At this time, we simply don't feel raising external capital aligns with our current goals, but we're also aware that this could change in the future. For now, maintaining autonomy and staying close to our original vision remains a priority. I'm curious to hear from others here who've been through this. Have you successfully bootstrapped an AI a tech business? What obstacles did you encounter, and how did you overcome them? EDIT: To give you a bit of perspective, my company is a B2B SaaS in the finance industry based in Europe. We have received VC funding in the past but it was an exceptionally good deal and we don't plan to raise in the near future even-thought it may change if we see the need to help us scale. We have also raised a significant amount in soft funding. Right now, we are growing on our revenues, and we plan to continue this trajectory. Recently, one of our developers left, and although we are a small team, we noticed that it had little to no impact on our productivity.

What are the latest areas you see tech entrepreneurs focusing on?

I’m interested in the “latest hot area.” For example, I see people developing offerings around bitcoin. Obviously “AI” is huge, but are there subsets of this such as cyber security, or productivity tools, or customer service chat, etc.? AI-powered consumer apps such as fitness or travel recommendations? In other words, what are the recent areas where people see opportunity and are doing startups around it?

I spent 6 months on building a tool, and got 0 zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product, Summ, that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

10y of product development, 2 bankruptcies, and 1 Exit — what next? [Extended Story]

10 years of obsessive pursuit from the bottom to impressive product-market fit and exit. Bootstrapping tech products as Software Developer and 3x Startup Founder (2 bankruptcies and 1 exit). Hi everyone, your motivation has inspired me to delve deeper into my story. So, as promised to some of you, I've expanded on it a bit more, along with my brief reflections. There are many founders, product creators, and proactive individuals, I’ve read many of your crazy stories and lessons so I decided to share mine and the lessons I learned from the bottom to impressive product-market fit and exit. I've spent almost the past 10 years building tech products as a Corporate Team Leader, Senior Software Developer, Online Course Creator, Programming Tutor, Head of Development/CTO, and 3x Startup Founder (2 bankruptcies, and 1 exit). And what next? good question... A brief summary of my journey: Chapter 1: Software Developer / Team Leader / Senior Software Developer I’ve always wanted to create products that win over users’ hearts, carry value, and influence users. Ever since my school days, I’ve loved the tech part of building digital products. At the beginning of school, I started hosting servers for games, blogs and internet forums, and other things that did not require much programming knowledge. My classmates and later even over 100 people played on servers that I hosted on my home PC. Later, as the only person in school, I passed the final exam in computer science. During my computer science studies, I started my first job as a software developer. It was crazy, I was spending 200–300 hours a month in the office attending also to daily classes. Yes, I didn’t have a life, but it truly was the fulfillment of my dreams. I was able to earn good money doing what I love, and I devoted fully myself to it. My key to effectively studying IT and growing my knowledge at rocket speed was learning day by day reading guides, building products to the portfolio, watching youtube channels and attending conferences, and even watching them online, even if I didn’t understand everything at the beginning. In one year we’ve been to every possible event within 400km. We were building healthcare products that were actually used in hospitals and medical facilities. It was a beautiful adventure and tons of knowledge I took from this place. That time I built my first product teams, hired many great people, and over the years became a senior developer and team leader. Even I convinced my study mates to apply to this company and we studied together and worked as well. Finally, there were 4 of us, when I left a friend of mine took over my position and still works there. If you’re reading this, I’m sending you a flood of love and appreciation. I joined as the 8th person, and after around 4 years, when I left hungry for change, there were already over 30 of us, now around 100. It was a good time, greetings to everyone. I finished my Master’s and Engineering degrees in Computer Science, and it was time for changes. Chapter 2: 1st time as a Co-founder — Marketplace In the meantime, there was also my first startup (a marketplace) with four of my friends. We all worked on the product, each of us spent thousands of hours, after hours, entire weekends… and I think finally over a year of work. As you might guess, we lacked the most important things: sales, marketing, and product-market fit. We thought users think like us. We all also worked commercially, so the work went very smoothly, but we didn’t know what we should do next with it… Finally, we didn’t have any customers, but you know what, I don’t regret it, a lot of learning things which I used many times later. The first attempts at validating the idea with the market and business activities. In the end, the product was Airbnb-sized. Landing pages, listings, user panels, customer panels, admin site, notifications, caches, queues, load balancing, and much more. We wanted to publish the fully ready product to the market. It was a marketplace, so if you can guess, we had to attract both sides to be valuable. “Marketplace” — You can imagine something like Uber, if you don’t have passengers it was difficult to convince taxi drivers, if you don’t have a large number of taxi drivers you cannot attract passengers. After a year of development, we were overloaded, and without business, marketing, sales knowledge, and budget. Chapter 3: Corp Team Lead / Programming Tutor / Programming Architecture Workshop Leader Working in a corporation, a totally different environment, an international fintech, another learning experience, large products, and workmates who were waiting for 5 pm to finish — it wasn’t for me. Very slow product development, huge hierarchy, being an ant at the bottom, and low impact on the final product. At that time I understood that being a software developer is not anything special and I compared my work to factory worker. Sorry for that. High rates have been pumped only by high demand. Friends of mine from another industry do more difficult things and have a bigger responsibility for lower rates. That’s how the market works. This lower responsibility time allowed for building the first online course after hours, my own course platform, individual teaching newbies programming, and my first huge success — my first B2C customers, and B2B clients for workshops. I pivoted to full focus on sales, marketing, funnels, advertisements, demand, understanding the market, etc. It was 10x easier than startups but allowed me to learn and validate my conceptions and ideas on an easier market and showed me that it’s much easier to locate their problem/need/want and create a service/product that responds to it than to convince people of your innovative ideas. It’s just supply and demand, such a simple and basic statement, in reality, is very deep and difficult to understand without personal experience. If you’re inexperienced and you think you understand, you don’t. To this day, I love to analyze this catchword in relation to various industries / services / products and rediscover it again and again... While writing this sentence, I’m wondering if I’m not obsessed. Chapter 4: Next try — 2nd time as a founder — Edtech Drawing upon my experiences in selling services, offering trainings, and teaching programming, I wanted to broaden my horizons, delve into various fields of knowledge, involve more teachers, and so on. We started with simple services in different fields of knowledge, mainly relying on teaching in the local area (without online lessons). As I had already gathered some knowledge and experience in marketing and sales, things were going well and were moving in the right direction. The number of teachers in various fields was growing, as was the number of students. I don’t remember the exact statistics anymore, but it was another significant achievement that brought me a lot of satisfaction and new experiences. As you know, I’m a technology lover and couldn’t bear to look at manual processes — I wanted to automate everything: lessons, payments, invoices, customer service, etc. That’s when I hired our first developers (if you’re reading this, I’m sending you a flood of love — we spent a lot of time together and I remember it as a very fruitful and great year) and we began the process of tool and automation development. After a year we had really extended tools for students, teachers, franchise owners, etc. We had really big goals, we wanted to climb higher and higher. Maybe I wouldn’t even fully call it Startup, as the client was paying for the lessons, not for the software. But it gave us positive income, bootstrap financing, and tool development for services provided. Scaling this model was not as costless as SaaS because customer satisfaction was mainly on the side of the teacher, not the quality of the product (software). Finally, we grew to nearly 10 people and dozens of teachers, with zero external funding, and almost $50k monthly revenue. We worked very hard, day and night, and by November 2019, we were packed with clients to the brim. And as you know, that’s when the pandemic hit. It turned everything upside down by 180 degrees. Probably no one was ready for it. With a drastic drop in revenues, society started to save. Tired from the previous months, we had to work even harder. We had to reduce the team, change the model, and save what we had built. We stopped the tool’s development and sales, and with the developers, we started supporting other product teams to not fire them in difficult times. The tool worked passively for the next two years, reducing incomes month by month. With a smaller team providing programming services, we had full stability and earned more than relying only on educational services. At the peak of the pandemic, I promised myself that it was the last digital product I built… Never say never… Chapter 5: Time for fintech — Senior Software Developer / Team Lead / Head of Development I worked for small startups and companies. Building products from scratch, having a significant impact on the product, and complete fulfillment. Thousands of hours and sacrifices. This article mainly talks about startups that I built, so I don’t want to list all the companies, products, and applications that I supported as a technology consultant. These were mainly start-ups with a couple of people up to around 100 people on board. Some of the products were just a rescue mission, others were building an entire tech team. I was fully involved in all of them with the hope that we would work together for a long time, but I wasn’t the only one who made mistakes when looking for a product-market fit. One thing I fully understood: You can’t spend 8–15 hours a day writing code, managing a tech team, and still be able to help build an audience. In marketing and sales, you need to be rested and very creative to bring results and achieve further results and goals. If you have too many responsibilities related to technology, it becomes ineffective. I noticed that when I have more free time, more time to think, and more time to bounce the ball against the wall, I come up with really working marketing/sales strategies and solutions. It’s impossible when you are focused on code all day. You must know that this chapter of my life was long and has continued until now. Chapter 6: 3rd time as a founder — sold Never say never… right?\\ It was a time when the crypto market was really high and it was really trending topic. You know that I love technology right? So I cannot miss the blockchain world. I had experience in blockchain topics by learning on my own and from startups where I worked before. I was involved in crypto communities and I noticed a “starving crowd”. People who did things manually and earned money(crypto) on it.I found potential for building a small product that solves a technological problem. I said a few years before that I don’t want to start from scratch. I decided to share my observations and possibilities with my good friend. He said, “If you gonna built it, I’m in”. I couldn’t stop thinking about it. I had thought and planned every aspect of marketing and sales. And you know what. On this huge mindmap “product” was only one block. 90% of the mindmap was focused on marketing and sales. Now, writing this article, I understood what path I went from my first startup to this one. In the first (described earlier) 90% was the product, but in the last one 90% was sales and marketing. Many years later, I did this approach automatically. What has changed in my head over the years and so many mistakes? At that time, the company for which I provided services was acquired. The next day I got a thank you for my hard work and all my accounts were blocked. Life… I was shocked. We were simply replaced by their trusted technology managers. They wanted to get full control. They acted a bit unkindly, but I knew that they had all my knowledge about the product in the documentation, because I’m used to drawing everything so that in the moment of my weakness (illness, whatever) the team could handle it. That’s what solid leaders do, right? After a time, I know that these are normal procedures in financial companies, the point is that under the influence of emotions, do not do anything inappropriate. I quickly forgot about it, that I was brutally fired. All that mattered was to bring my plan to life. And it has been started, 15–20 hours a day every day. You have to believe me, getting back into the game was incredibly satisfying for me. I didn’t even know that I would be so excited. Then we also noticed that someone was starting to think about the same product as me. So the race began a game against time and the market. I assume that if you have reached this point, you are interested in product-market fit, marketing, and sales, so let me explain my assumptions to you: Product: A very very small tool that allowed you to automate proper tracking and creation of on-chain transactions. Literally, the whole app for the user was located on only three subpages. Starving Crowd: We tapped into an underserved market. The crypto market primarily operates via communities on platforms like Discord, Reddit, Twitter, Telegram, and so on. Therefore, our main strategy was directly communicating with users and demonstrating our tool. This was essentially “free marketing” (excluding the time we invested), as we did not need to invest in ads, promotional materials, or convince people about the efficacy of our tool. The community could directly observe on-chain transactions executed by our algorithms, which were processed at an exceptionally fast rate. This was something they couldn’t accomplish manually, so whenever someone conducted transactions using our algorithm, it was immediately noticeable and stirred a curiosity within the community (how did they do that!). Tests: I conducted the initial tests of the application on myself — we had already invested significantly in developing the product, but I preferred risking my own resources over that of the users. I provided the tool access to my wallet, containing 0.3ETH, and went to sleep. Upon waking up, I discovered that the transactions were successful and my wallet had grown to 0.99ETH. My excitement knew no bounds, it felt like a windfall. But, of course, there was a fair chance I could have lost it too. It worked. As we progressed, some users achieved higher results, but it largely hinged on the parameters set by them. As you can surmise, the strategy was simple — buy low, sell high. There was considerable risk involved. Churn: For those versed in marketing, the significance of repeat visitors cannot be overstated. Access to our tool was granted only after email verification and a special technique that I’d prefer to keep confidential. And this was all provided for free. While we had zero followers on social media, we saw an explosion in our email subscriber base and amassed a substantial number of users and advocates. Revenue Generation: Our product quickly gained popularity as we were effectively helping users earn — an undeniable value proposition. Now, it was time to capitalize on our efforts. We introduced a subscription model charging $300 per week or $1,000 per month — seemingly high rates, but the demand was so intense that it wasn’t an issue. Being a subscriber meant you were prioritized in the queue, ensuring you were among the first to reap benefits — thus adding more “value”. Marketing: The quality of our product and its ability to continually engage users contributed to it achieving what can best be described as viral. It was both a source of pride and astonishment to witness users sharing charts and analyses derived from our tool in forum discussions. They weren’t actively promoting our product but rather using screenshots from our application to illustrate certain aspects of the crypto world. By that stage, we had already assembled a team to assist with marketing, and programming, and to provide round-the-clock helpdesk support. Unforgettable Time: Despite the hype, my focus remained steadfast on monitoring our servers, their capacity, and speed. Considering we had only been on the market for a few weeks, we were yet to implement alerts, server scaling, etc. Our active user base spanned from Japan to the West Coast of the United States. Primarily, our application was used daily during the evenings, but considering the variety of time zones, the only time I could afford to sleep was during the evening hours in Far Eastern Europe, where we had the least users. However, someone always needed to be on guard, and as such, my phone was constantly by my side. After all, we couldn’t afford to let our users down. We found ourselves working 20 hours a day, catering to thousands of users, enduring physical fatigue, engaging in talks with VCs, and participating in conferences. Sudden Downturn: Our pinnacle was abruptly interrupted by the war in Ukraine (next macroeconomic shot straight in the face, lucky guy), a precipitous drop in cryptocurrency value, and swiftly emerging competition. By this time, there were 5–8 comparable tools had infiltrated the market. It was a challenging period as we continually stumbled upon new rivals. They immediately embarked on swift fundraising endeavors — a strategy we overlooked, which in retrospect was a mistake. Although our product was superior, the competitors’ rapid advancement and our insufficient funds for expeditious scaling posed significant challenges. Nonetheless, we made a good decision. We sold the product (exit) to competitors. The revenue from “exit” compensated for all the losses, leaving us with enough rest. We were a small team without substantial budgets for rapid development, and the risk of forming new teams without money to survive for more than 1–2 months was irresponsible. You have to believe me that this decision consumed us sleepless nights. Finally, we sold it. They turned off our app but took algorithms and users. Whether you believe it or not, after several months of toiling day and night, experiencing burnout, growing weary of the topic, and gaining an extra 15 kg in weight, we finally found our freedom… The exit wasn’t incredibly profitable, but we knew they had outdone us. The exit covered all our expenses and granted us a well-deserved rest for the subsequent quarter. It was an insane ride. Despite the uncertainty, stress, struggles, and sleepless nights, the story and experience will remain etched in my memory for the rest of my life. Swift Takeaways: Comprehending User Needs: Do you fully understand the product-market fit? Is your offering just an accessory or does it truly satisfy the user’s needs? The Power of Viral Marketing: Take inspiration from giants like Snapchat, ChatGPT, and Clubhouse. While your product might not attain the same scale (but remember, never say never…), the closer your concept is to theirs, the easier your journey will be. If your user is motivated to text a friend saying, “Hey, check out how cool this is” (like sharing ChatGPT), then you’re on the best track. Really. Even if it doesn’t seem immediately evident, there could be a way to incorporate this into your product. Keep looking until you find it. Niche targeting — the more specific and tailored your product is to a certain audience, the easier your journey will be People love buying from people — establishing a personal brand and associating yourself with the product can make things easier. Value: Seek to understand why users engage with your product and keep returning. The more specific and critical the issue you’re aiming to solve, the easier your path will be. Consider your offerings in terms of products and services and focus on sales and marketing, regardless of personal sentiments. These are just a few points, I plan to elaborate on all of them in a separate article. Many products undergo years of development in search of market fit, refining the user experience, and more. And guess what? There’s absolutely nothing wrong with that. Each product and market follows its own rules. Many startups have extensive histories before they finally make their mark (for instance, OpenAI). This entire journey spanned maybe 6–8 months. I grasped and capitalized on the opportunity, but we understood from the start that establishing a startup carried a significant risk, and our crypto product was 10 times riskier. Was it worth it? Given my passion for product development — absolutely. Was it profitable? — No, considering the hours spent — we lose. Did it provide a stable, problem-free life — nope. Did this entire adventure offer a wealth of happiness, joy, and unforgettable experiences — definitely yes. One thing is certain — we’ve amassed substantial experience and it’s not over yet :) So, what lies ahead? Chapter 7: Reverting to the contractor, developing a product for a crypto StartupReturning to the past, we continue our journey… I had invested substantial time and passion into the tech rescue mission product. I came on board as the technical Team Leader of a startup that had garnered over $20M in seed round funding, affiliated with the realm of cryptocurrencies. The investors were individuals with extensive backgrounds in the crypto world. My role was primarily technical, and there was an abundance of work to tackle. I was fully immersed, and genuinely devoted to the role. I was striving for excellence, knowing that if we secured another round of financing, the startup would accelerate rapidly. As for the product and marketing, I was more of an observer. After all, there were marketing professionals with decades of experience on board. These were individuals recruited from large crypto-related firms. I had faith in them, kept an eye on their actions, and focused on my own responsibilities. However, the reality was far from satisfactory. On the last day, the principal investor for the Series A round withdrew. The board made the tough decision to shut down. It was a period of intense observation and gaining experience in product management. This was a very brief summary of the last 10 years. And what next? (Last) Chapter 8: To be announced — Product Owner / Product Consultant / Strategist / CTO After spending countless hours and days deliberating my next steps, one thing is clear: My aspiration is to continue traversing the path of software product development, with the hopeful anticipation that one day, I might ride the crest of the next big wave and ascend to the prestigious status of a unicorn company. I find myself drawn to the process of building products, exploring product-market fit, strategizing, engaging in software development, seeking out new opportunities, networking, attending conferences, and continuously challenging myself by understanding the market and its competitive landscape. Product Owner / Product Consultant / CTO / COO: I’m not entirely sure how to categorize this role, as I anticipate that it will largely depend on the product to which I will commit myself fully. My idea is to find one startup/company that wants to build a product / or already has a product, want to speed up, or simply doesn’t know what’s next. Alternatively, I could be a part of an established company with a rich business history, which intends to invest in digitization and technological advancements. The goal would be to enrich their customer experience by offering complementary digital products Rather than initiating a new venture from ground zero with the same team, I am receptive to new challenges. I am confident that my past experiences will prove highly beneficial for the founders of promising, burgeoning startups that already possess a product, or are in the initial phases of development. ‘Consultant’ — I reckon we interpret this term differently. My aim is to be completely absorbed in a single product, crafting funnels, niches, strategies, and all that is necessary to repeatedly achieve the ‘product-market fit’ and significant revenue. To me, ‘consultant’ resonates more akin to freelancing than being an employee. My current goal is to kickstart as a consultant and aide, dealing with facilitating startups in their journey from point A to B. Here are two theoretical scenarios to illustrate my approach: Scenario 1: (Starting from point A) You have a product but struggle with marketing, adoption, software, strategy, sales, fundraising, or something else. I conduct an analysis and develop a strategy to reach point B. I take on the “dirty work” and implement necessary changes, including potential pivots or shifts (going all-in) to guide the product to point B. The goal is to reach point B, which could involve achieving a higher valuation, expanding the user base, increasing sales, or generating monthly revenue, among other metrics. Scenario 2: (Starting from point A) You have a plan or idea but face challenges with marketing, adoption, strategy, software, sales, fundraising, or something else. I analyze the situation and devise a strategy to reach point B. I tackle the necessary tasks, build the team, and overcome obstacles to propel the product to point B. I have come across the view that finding the elusive product-market fit is the job of the founder, and it’s hard for me to disagree. However, I believe that my support and experiences can help save money, many failures, and most importantly, time. I have spent a great deal of time learning from my mistakes, enduring failure after failure, and even had no one to ask for support or opinion, which is why I offer my help. Saving even a couple of years, realistically speaking, seems like a value I’m eager to provide… I invite you to share your thoughts and insights on these scenarios :) Closing Remarks: I appreciate your time and effort in reaching this point. This has been my journey, and I wouldn’t change it for the world. I had an extraordinary adventure, and now I’m ready for the next exciting battle with the market and new software products. While my entire narrative is centered around startups, especially the ones I personally built, I’m planning to share more insights drawn from all of my experiences, not just those as a co-founder. If you’re currently developing your product or even just considering the idea, I urge you to reach out to me. Perhaps together, we can create something monumental :) Thank you for your time and insights. I eagerly look forward to engaging in discussions and hearing your viewpoints. Please remember to like and subscribe. Nothing motivates to write more than positive feedback :) Matt.

How to start online business in 7 days ?

Easy to do now. There are several tips that I can give you to start your own digital business. 1) Solve your own problem. If you use the Internet, you know that there are a lot of problems that need to be solved. But focus on your problem first. Once you can figure it out and solve your problem. You can move on to solving people's problems. Ideally, to use tools and technology you know. If you don't know, use NO-CODE tools to build it. For example, if you need to create a website, use landing page builder. If you want to automate your own work, like booking meetings, use Zapier to automate tasks. If you want to create a game, sure, use AI Tools to solve it. I don't care what you will use. Use whatever you want. All I want from you is to solve that problem. 2) After solving your own problem. You can focus on people's problems. Because if you can't solve your own shit, why do you want to solve others problems? Remember that always. If you need to build e-commerce, use Shopify. If you need to build a directory, use directory builder. If you need to build landing pages, use landing page builders. Rule of thumb: Niche, Niche, Niche. Try to focus on a specific niche, solve their problem, and make money on it. Then only thinking about exploring new opportunities. You can use No-Code builders or AI tools or hire developers or hire agencies to do it. It depends on your choice. If you are good at coding, build on your own or delegate to a developer or agency. If you have enough time, use AI Tools to build your own thing. If you want to solve a common problem but with a different perspective, yeah, sure, use No-Code builders for that. 3) Digital business works exactly the same as offline business with one difference. You can move a lot faster, build a lot faster, risk a lot faster, fail a lot faster, earn a lot faster, sell a lot faster, and scale a lot faster. In one week, you can build e-commerce. In the second week, you can build SaaS. In the third week, you can build an AI agent. In the fourth week, you can build your own channel on social media. 4) It gives more power. With great power comes great responsibility. From day one, invest in SEO, social media presence, traffic, and acquiring customers. Don't focus on tech stuff. Don't focus on tools. Focus on the real problem: • Traffic • Marketing • Sales • Conversion rate

🚀 Revolutionizing IT and Network Operations: A Vision for the Future, Smarter, Faster, Proactive 🚀

Solution that I am building: IT teams today are bogged down by fragmented tools, reactive troubleshooting, and escalating downtime costs. This hampers innovation, inflates operational expenses, and delays business growth. We’re building something game-changing: an AI/ML-powered platform that transforms IT operations with: ✔️ Proactive issue prevention via real-time anomaly detection. ✔️ Automated remediation, reducing resolution time by up to 90%. ✔️ Unified monitoring, integrating infrastructure, apps, and services into a single-pane-of-glass dashboard. ✔️ Advanced network automation, with features like configuration drift detection, root cause analysis, and dynamic topology mapping. The goal? Less firefighting, more innovation. With faster ROI, 30–40% cost savings, and seamless scalability across hybrid and multi-cloud environments, we aim to redefine IT operations. 💡 We’d love your thoughts: 👉 Does this resonate with the challenges you’ve faced? 👉 What features would make this an essential tool for your organization? If you’d like to share insights, contribute to the vision, or even explore investment opportunities, let’s connect! Together, we can shape the future of proactive IT operations. Drop your feedback in the comments or DM me directly. Let’s innovate together! 🙌 \#ITInnovation #NetworkAutomation #AIOps #DigitalTransformation #FutureOfIT

36 startup ideas found by analyzing podcasts (problem, solution & source episode)

Hey, I've been a bit of a podcast nerd for a long time. Around a year ago I began experimenting with transcription of podcasts for a SaaS I was running. I realized pretty quickly that there's a lot of knowledge and value in podcast discussions that is for all intents and purposes entirely unsearchable or discoverable to most people. I ended up stopping work on that SaaS product (party for lack of product/market fit, and partly because podcasting was far more interesting), and focusing on the podcast technology full-time instead. I'm a long-time lurker and poster of r/startups and thought this would make for some interesting content and inspiration for folks. Given I'm in this space, have millions of transcripts, and transcribe thousands daily... I've been exploring fun ways to expose some of the interesting knowledge and conversations taking place that utilize our own data/API. I'm a big fan of the usual startup podcasts (My First Million, Greg Isenberg, etc. etc.) and so I built an automation that turns all of the startup ideas discussed into a weekly email digest. I always struggle to listen to as many episodes as I'd actually like to, so I thought I'd summarise the stuff I care about instead (startup opportunities being discussed). I thought it would be interesting to post some of the ideas extracted so far. They range from being completely whacky and blue sky, to pretty boring but realistic. A word of warning before anyone complains – this is a big mixture of tech, ai, non-tech, local services, etc. ideas: Some of the ideas are completely mundane, but realistic (e.g. local window cleaning service) Some of the ideas are completely insane, blue sky, but sound super interesting Here's the latest 36 ideas: |Idea Name|Problem|Solution|Source| |:-|:-|:-|:-| |SalesForce-as-a-Service - White Label Enterprise Sales Teams|White-label enterprise sales teams for B2B SaaS. Companies need sales but can't hire/train. Recruit retail sellers, train for tech, charge 30% of deals closed.|Create a white-label enterprise sales team by recruiting natural salespeople from retail and direct sales backgrounds (e.g. mall kiosks, cutco knives). Train them specifically in B2B SaaS sales techniques and processes. Offer this trained sales force to tech companies on a contract basis.|My First Million - "Life Hacks From The King of Introverts + 7 Business Ideas| |TechButler - Mobile Device Maintenance Service|Mobile tech maintenance service. Clean/optimize devices, improve WiFi, basic support. $100/visit to homes. Target affluent neighborhoods.|Mobile tech support service providing in-home device cleaning, optimization, and setup. Focus on common issues like WiFi improvement, device maintenance, and basic tech support.|My First Million - "Life Hacks From The King of Introverts + 7 Business Ideas| |MemoryBox - At-Home Video Digitization Service|Door-to-door VHS conversion service. Parents have boxes of old tapes. Pick up, digitize, deliver. $30/tape with minimum order. Going extinct.|Door-to-door VHS to digital conversion service that handles everything from pickup to digital delivery. Make it extremely convenient for customers to preserve their memories.|My First Million - "Life Hacks From The King of Introverts + 7 Business Ideas| |Elite Match Ventures - Success-Based Luxury Matchmaking|High-end matchmaking for 50M+ net worth individuals. Only charge $1M+ when they get married. No upfront fees. Extensive vetting process.|Premium matchmaking service exclusively for ultra-high net worth individuals with a pure contingency fee model - only get paid ($1M+) upon successful marriage. Focus on quality over quantity with extensive vetting and personalized matching.|My First Million - "Life Hacks From The King of Introverts + 7 Business Ideas| |LocalHost - Simple Small Business Websites|Simple WordPress sites for local businesses. $50/month includes hosting, updates, security. Target restaurants and shops. Recurring revenue play.|Simplified web hosting and WordPress management service targeting local small businesses. Focus on basic sites with standard templates, ongoing maintenance, and reliable support for a fixed monthly fee.|My First Million - "Life Hacks From The King of Introverts + 7 Business Ideas| |VoiceJournal AI - Voice-First Smart Journaling|Voice-to-text journaling app with AI insights. 8,100 monthly searches. $15/month subscription. Partners with journaling YouTubers.|AI-powered journaling app that combines voice recording, transcription, and intelligent insights. Users can speak their thoughts, which are automatically transcribed and analyzed for patterns, emotions, and actionable insights.|Where It Happens - "7 $1M+ AI startup ideas you can launch tomorrow with $0"| |AIGenAds - AI-Generated UGC Content Platform|AI platform turning product briefs into UGC-style video ads. Brands spending $500/video for human creators. Generate 100 variations for $99/month.|AI platform that generates UGC-style video ads using AI avatars and scripting. System would allow rapid generation of multiple ad variations at a fraction of the cost. Platform would use existing AI avatar technology combined with script generation to create authentic-looking testimonial-style content.|Where It Happens - "7 $1M+ AI startup ideas you can launch tomorrow with $0"| |InfographAI - Automated Infographic Generation Platform|AI turning blog posts into branded infographics. Marketers spending hours on design. $99/month unlimited generation.|AI-powered platform that automatically converts blog posts and articles into visually appealing infographics. System would analyze content, extract key points, and generate professional designs using predefined templates and brand colors.|Where It Happens - "7 $1M+ AI startup ideas you can launch tomorrow with $0"| |KidFinance - Children's Financial Education Entertainment|Children's media franchise teaching financial literacy. Former preschool teacher creating 'Dora for money'. Books, videos, merchandise potential.|Character-driven financial education content for kids, including books, videos, and potentially TV show. Focus on making money concepts fun and memorable.|The Side Hustle Show - "How a Free Challenge Turned Into a $500,000 a Year Business (Greatest Hits)"| |FinanceTasker - Daily Financial Task Challenge|Free 30-day financial challenge with daily action items. People overwhelmed by money management. Makes $500k/year through books, speaking, and premium membership.|A free 30-day financial challenge delivering one simple, actionable task per day via email. Each task includes detailed scripts and instructions. Participants join a Facebook community for support and accountability. The program focuses on quick wins to build momentum. Automated delivery allows scaling.|The Side Hustle Show - "How a Free Challenge Turned Into a $500,000 a Year Business (Greatest Hits)"| |FinanceAcademy - Expert Financial Training Platform|Premium financial education platform. $13/month for expert-led courses and live Q&As. 4000+ members generating $40k+/month.|Premium membership site with expert-led courses, live Q&As, and community support. Focus on specific topics like real estate investing, business creation, and advanced money management.|The Side Hustle Show - "How a Free Challenge Turned Into a $500,000 a Year Business (Greatest Hits)"| |SecurityFirst Compliance - Real Security + Compliance Platform|Security-first compliance platform built by hackers. Companies spending $50k+ on fake security. Making $7M/year showing why current solutions don't work.|A compliance platform built by security experts that combines mandatory compliance requirements with real security measures. The solution includes hands-on security testing, expert guidance, and a focus on actual threat prevention rather than just documentation. It merges traditional compliance workflows with practical security implementations.|In the Pit with Cody Schneider| |LinkedInbound - Automated Professional Visibility Engine|LinkedIn automation for inbound job offers. Professionals spending hours on manual outreach. $99/month per job seeker.|Automated system for creating visibility and generating inbound interest on LinkedIn through coordinated profile viewing and engagement. Uses multiple accounts to create visibility patterns that trigger curiosity and inbound messages.|In the Pit with Cody Schneider| |ConvoTracker - Community Discussion Monitoring Platform|Community discussion monitoring across Reddit, Twitter, HN. Companies missing sales opportunities. $499/month per brand tracked.|Comprehensive monitoring system that tracks competitor mentions and industry discussions across multiple platforms (Reddit, Twitter, Hacker News, etc.) with automated alerts and engagement suggestions.|In the Pit with Cody Schneider| |ContentAds Pro - Smart Display Ad Implementation|Display ad implementation service for content creators. Bloggers losing thousands in ad revenue monthly. Makes $3-5k per site setup plus ongoing optimization fees.|Implementation of professional display advertising through networks like Mediavine that specialize in optimizing ad placement and revenue while maintaining user experience. Include features like turning off ads for email subscribers and careful placement to minimize impact on core metrics.|The Side Hustle Show - "636: Is Business Coaching Worth It? A Look Inside the last 12 months of Side Hustle Nation"| |MoneyAppReviews - Professional Side Hustle App Testing|Professional testing service for money-making apps. People wasting time on low-paying apps. Makes $20k/month from affiliate commissions and ads.|Professional app testing service that systematically reviews money-making apps and creates detailed, honest reviews including actual earnings data, time investment, and practical tips.|The Side Hustle Show - "636: Is Business Coaching Worth It? A Look Inside the last 12 months of Side Hustle Nation"| |LightPro - Holiday Light Installation Service|Professional Christmas light installation service. Homeowners afraid of ladders. $500-2000 per house plus storage.|Professional Christmas light installation service targeting residential and commercial properties. Full-service offering including design, installation, maintenance, removal and storage. Focus on safety and premium aesthetic results.|The Side Hustle Show - "639: 30 Ways to Make Extra Money for the Holidays"| |FocusMatch - Research Participant Marketplace|Marketplace connecting companies to paid research participants. Companies spending weeks finding people. $50-150/hour per study.|Online platform connecting companies directly with paid research participants. Participants create detailed profiles and get matched to relevant studies. Companies get faster access to their target demographic while participants earn money sharing opinions.|The Side Hustle Show - "639: 30 Ways to Make Extra Money for the Holidays"| |SolarShine Pro - Specialized Solar Panel Cleaning Service|Solar panel cleaning service using specialized equipment. Panels lose 50% efficiency when dirty. $650 per job, automated scheduling generates $18k/month from repeat customers.|Professional solar panel cleaning service using specialized deionized water system and European cleaning equipment. Includes automated 6-month scheduling, professional liability coverage, and warranty-safe cleaning processes. Service is bundled with inspection and performance monitoring.|The UpFlip Podcast - "156. $18K/Month with This ONE Service — Niche Business Idea"| |ExteriorCare Complete - One-Stop Exterior Maintenance Service|One-stop exterior home cleaning service (solar, windows, gutters, bird proofing). Automated scheduling. $650 average ticket. 60% repeat customers on 6-month contracts.|All-in-one exterior cleaning service offering comprehensive maintenance packages including solar, windows, gutters, roof cleaning and bird proofing. Single point of contact, consistent quality, and automated scheduling for all services.|The UpFlip Podcast - "156. $18K/Month with This ONE Service — Niche Business Idea"| |ContentMorph - Automated Cross-Platform Content Adaptation|AI platform converting blog posts into platform-optimized social content. Marketing teams spending 5hrs/post on manual adaptation. $199/mo per brand with 50% margins.|An AI-powered platform that automatically transforms long-form content (blog posts, podcasts, videos) into platform-specific formats (Instagram reels, TikToks, tweets). The system would preserve brand voice while optimizing for each platform's unique requirements and best practices.|Entrepreneurs on Fire - "Digital Threads: The Entrepreneur Playbook for Digital-First Marketing with Neal Schaffer"| |MarketerMatch - Verified Digital Marketing Talent Marketplace|Marketplace for pre-vetted digital marketing specialists. Entrepreneurs spending 15hrs/week on marketing tasks. Platform takes 15% commission averaging $900/month per active client.|A specialized marketplace exclusively for digital marketing professionals, pre-vetted for specific skills (video editing, social media, SEO, etc.). Platform includes skill verification, portfolio review, and specialization matching.|Entrepreneurs on Fire - "Digital Threads: The Entrepreneur Playbook for Digital-First Marketing with Neal Schaffer"| |Tiger Window Cleaning - Premium Local Window Service|Local window cleaning service targeting homeowners. Traditional companies charging 2x market rate. Making $10k/month from $200 initial investment.|Local window cleaning service combining competitive pricing ($5/pane), excellent customer service, and quality guarantees. Uses modern tools like water-fed poles for efficiency. Implements systematic approach to customer communication and follow-up.|The Side Hustle Show - "630: How this College Student’s Side Hustle Brings in $10k a Month"| |RealViz3D - Real Estate Visualization Platform|3D visualization service turning architectural plans into photorealistic renderings for real estate agents. Agents struggling with unbuilt property sales. Making $30-40k/year per operator.|Professional 3D modeling and rendering service that creates photorealistic visualizations of properties before they're built or renovated. The service transforms architectural plans into immersive 3D representations that show lighting, textures, and realistic details. This helps potential buyers fully understand and connect with the space before it physically exists.|Side Hustle School - "#2861 - TBT: An Architect’s Side Hustle in 3D Real Estate Modeling"| |Somewhere - Global Talent Marketplace|Platform connecting US companies with vetted overseas talent. Tech roles costing $150k locally filled for 50% less. Grew from $15M to $52M valuation in 9 months.|Platform connecting US companies with pre-vetted overseas talent at significantly lower rates while maintaining high quality. Handles payments, contracts, and quality assurance to remove friction from global hiring.|My First Million - "I Lost Everything Twice… Then Made $26M In 18 Months| |GymLaunch - Rapid Gym Turnaround Service|Consultants flying to struggling gyms to implement proven member acquisition systems. Gym owners lacking sales expertise. Made $100k in first 21 days.|Expert consultants fly in to implement proven member acquisition systems, train staff, and rapidly fill gyms with new members. The service combines sales training, marketing automation, and proven conversion tactics to transform struggling gyms into profitable businesses within weeks.|My First Million - "I Lost Everything Twice… Then Made $26M In 18 Months| |PublishPlus - Publishing Backend Monetization|Backend monetization system for publishing companies. One-time customers becoming recurring revenue. Grew business from $2M to $110M revenue.|Add complementary backend products and services to increase customer lifetime value. Develop software tools and additional services that natural extend from initial publishing product. Focus on high-margin recurring revenue streams.|My First Million - "I Lost Everything Twice… Then Made $26M In 18 Months| |WelcomeBot - Automated Employee Onboarding Platform|Automated employee welcome platform. HR teams struggling with consistent onboarding. $99/month per 100 employees.|An automated onboarding platform that creates personalized welcome experiences through pre-recorded video messages, scheduled check-ins, and automated swag delivery. The platform would ensure consistent high-quality onboarding regardless of timing or location.|Entrepreneurs on Fire - "Free Training on Building Systems and Processes to Scale Your Business with Chris Ronzio: An EOFire Classic from 2021"| |ProcessBrain - Business Knowledge Documentation Platform|SaaS platform turning tribal knowledge into documented processes. Business owners spending hours training new hires. $199/month per company.|A software platform that makes it easy to document and delegate business processes and procedures. The platform would include templates, guided documentation flows, and tools to easily share and update procedures. It would help businesses create a comprehensive playbook of their operations.|Entrepreneurs on Fire - "Free Training on Building Systems and Processes to Scale Your Business with Chris Ronzio: An EOFire Classic from 2021"| |TradeMatch - Modern Manufacturing Job Marketplace|Modern job board making manufacturing sexy again. Factory jobs paying $40/hr but can't recruit. $500 per successful referral.|A specialized job marketplace and recruitment platform focused exclusively on modern manufacturing and trade jobs. The platform would combine TikTok-style content marketing, referral programs, and modern UX to make manufacturing jobs appealing to Gen Z and young workers. Would leverage existing $500 referral fees and industry demand.|My First Million - "He Sold His Company For $15M, Then Got A Job At McDonald’s"| |GroundLevel - Executive Immersion Program|Structured program putting CEOs in front-line jobs. Executives disconnected from workers. $25k per placement.|A structured program that places executives and founders in front-line jobs (retail, warehouse, service) for 2-4 weeks with documentation and learning framework. Similar to Scott Heiferman's McDonald's experience but productized.|My First Million - "He Sold His Company For $15M, Then Got A Job At McDonald’s"| |OneStepAhead - Micro-Mentorship Marketplace|Marketplace for 30-min mentorship calls with people one step ahead. Professionals seeking specific guidance. Takes 15% of session fees.|MicroMentor Marketplace - Platform connecting people with mentors who are just one step ahead in their journey for focused, affordable micro-mentorship sessions.|Entrepreneurs on Fire - "How to Create an Unbroken Business with Michael Unbroken: An EOFire Classic from 2021"| |VulnerableLeader - Leadership Authenticity Training Platform|Leadership vulnerability training platform. Leaders struggling with authentic communication. $2k/month per company subscription.|Leadership Vulnerability Platform - A digital training platform combining assessment tools, guided exercises, and peer support to help leaders develop authentic communication skills. The platform would include real-world scenarios, video coaching, and measurable metrics for tracking leadership growth through vulnerability.|Entrepreneurs on Fire - "How to Create an Unbroken Business with Michael Unbroken: An EOFire Classic from 2021"| |NetworkAI - Smart Network Intelligence Platform|AI analyzing your network to find hidden valuable connections. Professionals missing opportunities in existing contacts. $49/month per user.|AI Network Navigator - Smart tool that analyzes your professional network across platforms, identifies valuable hidden connections, and suggests specific actionable ways to leverage relationships for mutual benefit.|Entrepreneurs on Fire - "How to Create an Unbroken Business with Michael Unbroken: An EOFire Classic from 2021"| |Porch Pumpkins - Seasonal Decoration Service|Full-service porch pumpkin decoration. Homeowners spend $300-1350 per season. One operator making $1M in 8 weeks seasonal revenue.|Full-service seasonal porch decoration service focused on autumn/Halloween, including design, installation, maintenance, and removal. Offering premium curated pumpkin arrangements with various package tiers.|My First Million - "The guy who gets paid $80K/yr to do nothing"| |Silent Companion - Professional Presence Service|Professional silent companions for lonely people. Huge problem in Japan/globally. $68/session, $80k/year per companion. Non-sexual, just presence.|A professional companion service where individuals can rent a non-judgmental, quiet presence for various activities. The companion provides silent company without the pressure of conversation or social performance. They accompany clients to events, meals, or just sit quietly together.|My First Million - "The guy who gets paid $80K/yr to do nothing"| Hope this is useful. If anyone would like to ensure I include any particular podcasts or episodes etc. in future posts, very happy to do so. I'll generally send \~5 ideas per week in a short weekly digest format (you can see the format I'd usually use in here: podcastmarketwatch.beehiiv.com). I find it mindblowing that the latest models with large context windows make it even possible to analyze full transcripts at such scale. It's a very exciting time we're living through! Would love some feedback on this stuff, happy to iterate and improve the analysis/ideas... or create a new newsletter on a different topic if anyone would like. Cheers!

From "There's an App for that" to "There's YOUR App for that" - AI workflows will transform generic apps into deeply personalized experiences

I will not promote. For the past decade mobile apps were a core element of daily life for entertainment, productivity and connectivity. However, as the ecosystem saturated the general desire to download "just one more app" became apprehensive. There were clear monopolistic winners in different categories, such as Instagram and TikTok, which completely captured the majority of people's screentime. The golden age of creating indie apps and becoming a millionaire from them was dead. Conceptual models of these popular apps became ingrained in the general consciousness, and downloading new apps where re-learning new UI layouts was required, became a major friction point. There is high reluctance to download a new app rather than just utilizing the tooling of the growing market share of the existing winners. Content marketing and white labeled apps saw a resurgence of new app downloads, as users with parasympathetic relationships with influencers could be more easily persuaded to download them. However, this has led to a series of genericized tooling that lacks the soul of the early indie developer apps from the 2010s (Flappy bird comes to mind). A seemingly grim spot to be in, until everything changed on November 30th 2022. Sam Altman, Ilya Sutskever and team announced chatGPT, a Large Language Model that was the first publicly available generative AI tool. The first non-deterministic tool that could reason probablisitically in a similar (if flawed) way, to the human mind. At first, it was a clear paradigm shift in the world of computing, this was obvious from the fact that it climbed to 1 Million users within the first 5 days of its launch. However, despite the insane hype around the AI, its utility was constrained to chatbot interfaces for another year or more. As the models reasoning abilities got better and better, engineers began to look for other ways of utilizing this new paradigm shift, beyond chatbots. It became clear that, despite the powerful abilities to generate responses to prompts, the LLMs suffered from false hallucinations with extreme confidence, significantly impacting the reliability of their use, in search, coding and general utility. Retrieval Augmented Generation (RAG) was coined to provide a solution to this. Now, the LLM would apply a traditional search for data, via a database, a browser or other source of truth, and then feed that information into the prompt as it generates, allowing for more accurate results. Furthermore, it became clear that you could enhance an LLM by providing them metadata to interact with tools such as APIs for other services, allowing LLMs to perform actions typically reserved for humans, like fetching data, manipulating it and acting as an independent Agent. This prompted engineers to start treating LLMs, not as a database and a search engine, but rather a reasoning system, that could be part of a larger system of inputs and feedback to handle workflows independently. These "AI Agents" are poised to become the core technology in the next few years for hyper-personalizing and automating processes for specific users. Rather than having a generic B2B SaaS product that is somewhat useful for a team, one could standup a modular system of Agents that can handle the exactly specified workflow for that team. Frameworks such as LlangChain and LLamaIndex will help enable this for companies worldwide. The power is back in the hands of the people. However, it's not just big tech that is going to benefit from this revolution. AI Agentic workflows will allow for a resurgence in personalized applications that work like personal digital employee's. One could have a Personal Finance agent keeping track of their budgets, a Personal Trainer accountability coaching you making sure you meet your goals, or even a silly companion that roasts you when you're procrastinating. The options are endless ! At the core of this technology is the fact that these agents will be able to recall all of your previous data and actions, so they will get better at understanding you and your needs as a function of time. We are at the beginning of an exciting period in history, and I'm looking forward to this new period of deeply personalized experiences. What are your thoughts ? Let me know in the comments !

I am selling my tool which converts websites into android and iOS apps within 5 minutes.

Hi, my name is Toshit Garg. I started working on SaaS products around April 2023. The plan was simple: to create tools that help entrepreneurs easily grow their businesses. My first tool was "Convertixo", inspired by my work as a Fiverr seller where I converted websites into apps for clients, earning around $1,000 per month. I thought, why not automate this process? Following Convertixo, I created a few other tools like "Web to PWA". At one point, I developed an AI-based tool called "AppMintAI" , a productized service named "Engage Enhance", and even a WordPress plugin that lets users create pragmatic pages for SEO and a boilerplates. Unfortunately, none of these tools gained significant traction. I would launch them on Product Hunt, get a few users, and then nothing. Other than Convertixo, all my other tools only received a handful of free users. I believe this happened because I’m not very passionate about marketing. So, I decided to pivot and focus on content creation, which is where my true passion lies. Currently, I’m selling all my products one by one. As for Convertixo, it now has 800 users, a $20 MRR, and an email subscriber list of 100+. It was also the third Product of the Day on Product Hunt in January of this year. While the product has gained some traction, I’ve realized my focus is on content creation. However, with the right marketing and drive, I believe Convertixo has great potential to grow. If you’re interested in taking Convertixo to the next level, let’s chat! Here are some key statistics: In the last 20 days, Convertixo has received 4.9K impressions from Google and 338 visitors. More about the product: Convertixo can convert any website into Android and iOS apps using a custom webview. The apps are generated in Android Studio and Xcode. You receive both the APK and the source code for the Android app, along with the source code for the iOS app. The converted apps require no maintenance, and they update exactly like the website. A major benefit is the ability to add push notifications via OneSignal for free, allowing you to re-target your customers at no cost. Feel free to ask if you have any questions!

How a founder built a B2B AI startup to serve with 65+ global brands (including Fortune500 companies) (I will not promote)

AI Palette is an AI-driven platform that helps food and beverage companies predict emerging product trends. I had the opportunity recently to sit down with the founder to get his advice on building an AI-first startup, which he'll be going through in this post. (I will not promote) About AI Palette: Co-founders: >!2 (Somsubhra GanChoudhuri, Himanshu Upreti)!!100+!!$12.7M USD!!AI-powered predictive analytics for the CPG (Consumer Packaged Goods) industry!!Signed first paying customer in the first year!!65+ global brands, including Cargill, Diageo, Ajinomoto, Symrise, Mondelez, and L’Oréal, use AI Palette!!Every new product launched has secured a paying client within months!!Expanded into Beauty & Personal Care (BPC), onboarding one of India’s largest BPC companies within weeks!!Launched multiple new product lines in the last two years, creating a unified suite for brand innovation!Identify the pain points in your industry for ideas* When I was working in the flavour and fragrance industry, I noticed a major issue CPG companies faced: launching a product took at least one to two years. For instance, if a company decided today to launch a new juice, it wouldn’t hit the market until 2027. This long timeline made it difficult to stay relevant and on top of trends. Another big problem I noticed was that companies relied heavily on market research to determine what products to launch. While this might work for current consumer preferences, it was highly inefficient since the product wouldn’t actually reach the market for several years. By the time the product launched, the consumer trends had already shifted, making that research outdated. That’s where AI can play a crucial role. Instead of looking at what consumers like today, we realised that companies should use AI to predict what they will want next. This allows businesses to create products that are ahead of the curve. Right now, the failure rate for new product launches is alarmingly high, with 8 out of 10 products failing. By leveraging AI, companies can avoid wasting resources on products that won’t succeed, leading to better, more successful launches. Start by talking to as many industry experts as possible to identify the real problems When we first had the idea for AI Palette, it was just a hunch, a gut feeling—we had no idea whether people would actually pay for it. To validate the idea, we reached out to as many people as we could within the industry. Since our focus area was all about consumer insights, we spoke to professionals in the CPG sector, particularly those in the insights departments of CPG companies. Through these early conversations, we began to see a common pattern emerge and identified the exact problem we wanted to solve. Don’t tell people what you’re building—listen to their frustrations and challenges first. Going into these early customer conversations, our goal was to listen and understand their challenges without telling them what we were trying to build. This is crucial as it ensures that you can gather as much data about the problem to truly understand it and that you aren't biasing their answers by showing your solution. This process helped us in two key ways: First, it validated that there was a real problem in the industry through the number of people who spoke about experiencing the same problem. Second, it allowed us to understand the exact scale and depth of the problem—e.g., how much money companies were spending on consumer research, what kind of tools they were currently using, etc. Narrow down your focus to a small, actionable area to solve initially. Once we were certain that there was a clear problem worth solving, we didn’t try to tackle everything at once. As a small team of two people, we started by focusing on a specific area of the problem—something big enough to matter but small enough for us to handle. Then, we approached customers with a potential solution and asked them for feedback. We learnt that our solution seemed promising, but we wanted to validate it further. If customers are willing to pay you for the solution, it’s a strong validation signal for market demand. One of our early customer interviewees even asked us to deliver the solution, which we did manually at first. We used machine learning models to analyse the data and presented the results in a slide deck. They paid us for the work, which was a critical moment. It meant we had something with real potential, and we had customers willing to pay us before we had even built the full product. This was the key validation that we needed. By the time we were ready to build the product, we had already gathered crucial insights from our early customers. We understood the specific information they wanted and how they wanted the results to be presented. This input was invaluable in shaping the development of our final product. Building & Product Development Start with a simple concept/design to validate with customers before building When we realised the problem and solution, we began by designing the product, but not by jumping straight into coding. Instead, we created wireframes and user interfaces using tools like InVision and Figma. This allowed us to visually represent the product without the need for backend or frontend development at first. The goal was to showcase how the product would look and feel, helping potential customers understand its value before we even started building. We showed these designs to potential customers and asked for feedback. Would they want to buy this product? Would they pay for it? We didn’t dive into actual development until we found a customer willing to pay a significant amount for the solution. This approach helped us ensure we were on the right track and didn’t waste time or resources building something customers didn’t actually want. Deliver your solution using a manual consulting approach before developing an automated product Initially, we solved problems for customers in a more "consulting" manner, delivering insights manually. Recall how I mentioned that when one of our early customer interviewees asked us to deliver the solution, we initially did it manually by using machine learning models to analyse the data and presenting the results to them in a slide deck. This works for the initial stages of validating your solution, as you don't want to invest too much time into building a full-blown MVP before understanding the exact features and functionalities that your users want. However, after confirming that customers were willing to pay for what we provided, we moved forward with actual product development. This shift from a manual service to product development was key to scaling in a sustainable manner, as our building was guided by real-world feedback and insights rather than intuition. Let ongoing customer feedback drive iteration and the product roadmap Once we built the first version of the product, it was basic, solving only one problem. But as we worked closely with customers, they requested additional features and functionalities to make it more useful. As a result, we continued to evolve the product to handle more complex use cases, gradually developing new modules based on customer feedback. Product development is a continuous process. Our early customers pushed us to expand features and modules, from solving just 20% of their problems to tackling 50–60% of their needs. These demands shaped our product roadmap and guided the development of new features, ultimately resulting in a more complete solution. Revenue and user numbers are key metrics for assessing product-market fit. However, critical mass varies across industries Product-market fit (PMF) can often be gauged by looking at the size of your revenue and the number of customers you're serving. Once you've reached a certain critical mass of customers, you can usually tell that you're starting to hit product-market fit. However, this critical mass varies by industry and the type of customers you're targeting. For example, if you're building an app for a broad consumer market, you may need thousands of users. But for enterprise software, product-market fit may be reached with just a few dozen key customers. Compare customer engagement and retention with other available solutions on the market for product-market fit Revenue and the number of customers alone isn't always enough to determine if you're reaching product-market fit. The type of customer and the use case for your product also matter. The level of engagement with your product—how much time users are spending on the platform—is also an important metric to track. The more time they spend, the more likely it is that your product is meeting a crucial need. Another way to evaluate product-market fit is by assessing retention, i.e whether users are returning to your platform and relying on it consistently, as compared to other solutions available. That's another key indication that your solution is gaining traction in the market. Business Model & Monetisation Prioritise scalability Initially, we started with a consulting-type model where we tailor-made specific solutions for each customer use-case we encountered and delivered the CPG insights manually, but we soon realized that this wasn't scalable. The problem with consulting is that you need to do the same work repeatedly for every new project, which requires a large team to handle the workload. That is not how you sustain a high-growth startup. To solve this, we focused on building a product that would address the most common problems faced by our customers. Once built, this product could be sold to thousands of customers without significant overheads, making the business scalable. With this in mind, we decided on a SaaS (Software as a Service) business model. The benefit of SaaS is that once you create the software, you can sell it to many customers without adding extra overhead. This results in a business with higher margins, where the same product can serve many customers simultaneously, making it much more efficient than the consulting model. Adopt a predictable, simplistic business model for efficiency. Look to industry practices for guidance When it came to monetisation, we considered the needs of our CPG customers, who I knew from experience were already accustomed to paying annual subscriptions for sales databases and other software services. We decided to adopt the same model and charge our customers an annual upfront fee. This model worked well for our target market, aligning with industry standards and ensuring stable, recurring revenue. Moreover, our target CPG customers were already used to this business model and didn't have to choose from a huge variety of payment options, making closing sales a straightforward and efficient process. Marketing & Sales Educate the market to position yourself as a thought leader When we started, AI was not widely understood, especially in the CPG industry. We had to create awareness around both AI and its potential value. Our strategy focused on educating potential users and customers about AI, its relevance, and why they should invest in it. This education was crucial to the success of our marketing efforts. To establish credibility, we adopted a thought leadership approach. We wrote blogs on the importance of AI and how it could solve problems for CPG companies. We also participated in events and conferences to demonstrate our expertise in applying AI to the industry. This helped us build our brand and reputation as leaders in the AI space for CPG, and word-of-mouth spread as customers recognized us as the go-to company for AI solutions. It’s tempting for startups to offer products for free in the hopes of gaining early traction with customers, but this approach doesn't work in the long run. Free offerings don’t establish the value of your product, and customers may not take them seriously. You should always charge for pilots, even if the fee is minimal, to ensure that the customer is serious about potentially working with you, and that they are committed and engaged with the product. Pilots/POCs/Demos should aim to give a "flavour" of what you can deliver A paid pilot/POC trial also gives you the opportunity to provide a “flavour” of what your product can deliver, helping to build confidence and trust with the client. It allows customers to experience a detailed preview of what your product can do, which builds anticipation and desire for the full functionality. During this phase, ensure your product is built to give them a taste of the value you can provide, which sets the stage for a broader, more impactful adoption down the line. Fundraising & Financial Management Leverage PR to generate inbound interest from VCs When it comes to fundraising, our approach was fairly traditional—we reached out to VCs and used connections from existing investors to make introductions. However, looking back, one thing that really helped us build momentum during our fundraising process was getting featured in Tech in Asia. This wasn’t planned; it just so happened that Tech in Asia was doing a series on AI startups in Southeast Asia and they reached out to us for an article. During the interview, they asked if we were fundraising, and we mentioned that we were. As a result, several VCs we hadn’t yet contacted reached out to us. This inbound interest was incredibly valuable, and we found it far more effective than our outbound efforts. So, if you can, try to generate some PR attention—it can help create inbound interest from VCs, and that interest is typically much stronger and more promising than any outbound strategies because they've gone out of their way to reach out to you. Be well-prepared and deliberate about fundraising. Keep trying and don't lose heart When pitching to VCs, it’s crucial to be thoroughly prepared, as you typically only get one shot at making an impression. If you mess up, it’s unlikely they’ll give you a second chance. You need to have key metrics at your fingertips, especially if you're running a SaaS company. Be ready to answer questions like: What’s your retention rate? What are your projections for the year? How much will you close? What’s your average contract value? These numbers should be at the top of your mind. Additionally, fundraising should be treated as a structured process, not something you do on the side while juggling other tasks. When you start, create a clear plan: identify 20 VCs to reach out to each week. By planning ahead, you’ll maintain momentum and speed up the process. Fundraising can be exhausting and disheartening, especially when you face multiple rejections. Remember, you just need one investor to say yes to make it all worthwhile. When using funds, prioritise profitability and grow only when necessary. Don't rely on funding to survive. In the past, the common advice for startups was to raise money, burn through it quickly, and use it to boost revenue numbers, even if that meant operating at a loss. The idea was that profitability wasn’t the main focus, and the goal was to show rapid growth for the next funding round. However, times have changed, especially with the shift from “funding summer” to “funding winter.” My advice now is to aim for profitability as soon as possible and grow only when it's truly needed. For example, it’s tempting to hire a large team when you have substantial funds in the bank, but ask yourself: Do you really need 10 new hires, or could you get by with just four? Growing too quickly can lead to unnecessary expenses, so focus on reaching profitability as soon as possible, rather than just inflating your team or burn rate. The key takeaway is to spend your funds wisely and only when absolutely necessary to reach profitability. You want to avoid becoming dependent on future VC investments to keep your company afloat. Instead, prioritize reaching break-even as quickly as you can, so you're not reliant on external funding to survive in the long run. Team-Building & Leadership Look for complementary skill sets in co-founders When choosing a co-founder, it’s important to find someone with a complementary skill set, not just someone you’re close to. For example, I come from a business and commercial background, so I needed someone with technical expertise. That’s when I found my co-founder, Himanshu, who had experience in machine learning and AI. He was a great match because his technical knowledge complemented my business skills, and together we formed a strong team. It might seem natural to choose your best friend as your co-founder, but this can often lead to conflict. Chances are, you and your best friend share similar interests, skills, and backgrounds, which doesn’t bring diversity to the table. If both of you come from the same industry or have the same strengths, you may end up butting heads on how things should be done. Having diverse skill sets helps avoid this and fosters a more collaborative working relationship. Himanshu (left) and Somsubhra (right) co-founded AI Palette in 2018 Define roles clearly to prevent co-founder conflict To avoid conflict, it’s essential that your roles as co-founders are clearly defined from the beginning. If your co-founder and you have distinct responsibilities, there is no room for overlap or disagreement. This ensures that both of you can work without stepping on each other's toes, and there’s mutual respect for each other’s expertise. This is another reason as to why it helps to have a co-founder with a complementary skillset to yours. Not only is having similar industry backgrounds and skillsets not particularly useful when building out your startup, it's also more likely to lead to conflicts since you both have similar subject expertise. On the other hand, if your co-founder is an expert in something that you're not, you're less likely to argue with them about their decisions regarding that aspect of the business and vice versa when it comes to your decisions. Look for employees who are driven by your mission, not salary For early-stage startups, the first hires are crucial. These employees need to be highly motivated and excited about the mission. Since the salary will likely be low and the work demanding, they must be driven by something beyond just the paycheck. The right employees are the swash-buckling pirates and romantics, i.e those who are genuinely passionate about the startup’s vision and want to be part of something impactful beyond material gains. When employees are motivated by the mission, they are more likely to stick around and help take the startup to greater heights. A litmus test for hiring: Would you be excited to work with them on a Sunday? One of the most important rounds in the hiring process is the culture fit round. This is where you assess whether a candidate shares the same values as you and your team. A key question to ask yourself is: "Would I be excited to work with this person on a Sunday?" If there’s any doubt about your answer, it’s likely not a good fit. The idea is that you want employees who align with the company's culture and values and who you would enjoy collaborating with even outside of regular work hours. How we structure the team at AI Palette We have three broad functions in our organization. The first two are the big ones: Technical Team – This is the core of our product and technology. This team is responsible for product development and incorporating customer feedback into improving the technology Commercial Team – This includes sales, marketing, customer service, account managers, and so on, handling everything related to business growth and customer relations. General and Administrative Team – This smaller team supports functions like finance, HR, and administration. As with almost all businesses, we have teams that address the two core tasks of building (technical team) and selling (commercial team), but given the size we're at now, having the administrative team helps smoothen operations. Set broad goals but let your teams decide on execution What I've done is recruit highly skilled people who don't need me to micromanage them on a day-to-day basis. They're experts in their roles, and as Steve Jobs said, when you hire the right person, you don't have to tell them what to do—they understand the purpose and tell you what to do. So, my job as the CEO is to set the broader goals for them, review the plans they have to achieve those goals, and periodically check in on progress. For example, if our broad goal is to meet a certain revenue target, I break it down across teams: For the sales team, I’ll look at how they plan to hit that target—how many customers they need to sell to, how many salespeople they need, and what tactics and strategies they plan to use. For the technical team, I’ll evaluate our product offerings—whether they think we need to build new products to attract more customers, and whether they think it's scalable for the number of customers we plan to serve. This way, the entire organization's tasks are cascaded in alignment with our overarching goals, with me setting the direction and leaving the details of execution to the skilled team members that I hire.

Looking for a Marketing Partner for an Innovative AI Mobile App [i will not promote]

Hello everyone! I'm a software engineer and AI developer working on something great in the mobile AI space. If you have been following the trends on TikTok and similar platforms, you have probably noticed the explosion of AI apps (like Rizz AI and similar) that follow the simple "scan → solve" concept. These apps have been massively successful because they solve specific problems with minimal user friction. Here's what makes my project different: I have identified an unique market where there is currently zero competition for this app idea that I'm creating and the potential user base is massive - we are talking about 200M+ potential users in the US alone (60% of the US population could use this app). Even capturing just 0.05% of this market could generate significant revenue, considering similar apps typically charge $4-6 per user. What I'm looking for: A marketing partner (preferably US-based or someone familiar with the US market/audience) who can help grow this app. Initially, it requires about 30–60 minutes per day for content creation and posting. No experience is required. If you don't have marketing experience, don't worry. In today's marketing, passion is often more important than skills (and a bit of luck, haha). What I'm offering: For now, it's a revenue share partnership. I have invested my savings into the development of the app and the necessary equipment and I'm offering a revenue share until we generate enough profit for paid positions. Once we gain traction, the goal is to transition this into a part-time or full-time role. If you have zero creativity skills, I can provide you with my automated content generation tool to assist with marketing. It is basically a script that generates the type of content that gets the most views on other AI apps promoted on social media platforms. This is also a long-term partnership, if we achieve some results but not good enough with one app, we can try a new niche or just continue on this one. About the project: The app is almost complete and will likely launch in mid-February. It is a self-funded venture, meaning all profits will be reinvested into growth, including ads, revenue sharing and potentially useful tools to improve marketing. Also, the app is unique, I made a deep research and there is no similar app in this niche and it is very easy to promote. Overall, it follows a simple and effective business model with a clear monetization strategy. If you're interested in being part of something with genuine growth potential and want to learn more, DM me. We can discuss details on Reddit, Discord, LinkedIn, anything you like. The app launches in mid-February so I'm looking to bring someone on board soon to help out. Note: I will share specific details about the niche and app functionality in private messages to protect the idea before launch.

I will not promote — just need advice from fellow startup entrepreneurs

Hey everyone, I’m now based in the San Francisco Bay Area. I’m starting a development agency to help early-stage startups and small businesses turn ideas into real products. Whether it’s building an MVP, scaling an existing app, or providing a dedicated offshore team — that’s the direction I’m heading. Quick background on me: I work with: • Frontend: React.js, Next.js, React Native • Backend: Node.js, Express, Supabase, Firebase • Databases: MongoDB, PostgreSQL • AI/API Integrations: OpenAI and others • DevOps/Automation: n8n, serverless tools, cloud platforms I’ve built and designed dozens of products, and now I have a small but strong team of 5 devs/designers in India. We can scale fast and deliver at Indian pricing — but that’s not my pitch here. I’m not here to promote. I’m genuinely looking for feedback and ideas from others doing similar things. If you’re running a dev agency, working with offshore teams, or supporting early-stage founders, I’d love to know: • What’s working for you in terms of client acquisition? • How are you building trust in the early stages? • Are there any strategies or lessons you wish you knew when starting? Also, if this aligns with something you’re building and you’re open to collaboration, I’m all ears. Let’s connect and share what’s working. Appreciate any thoughts, and happy to answer any questions too!

I fell into the builder's trap and need help getting out

Hi r/startups, First-time technical founder here. Two years ago, I decided to leave the 9-5 grind and build something meaningful. Now, I have (what I believe is) a brilliant technical solution but no clear business case. I’m seeking a cofounder with product and marketing expertise to help pivot my project into a viable business - or start a new one. Details below. About Me 36yo, born in Berlin and moved to San Francisco 8 years ago Master's in Software Engineering with 15 years of experience Worked with early-stage startups in Berlin and a venture studio in SF Spent the past years leading a team of 12 shipping enterprise software The tech I've built An AI engine that makes it easy for developers to automate their workflows. It works with code, issues, PRs and integrates with 3rd party systems like error trackers, wikis, ticketing systems, etc. It takes natural language instructions, fulfills them autonomously and responds with a result. The functionality is served as a platform, with an API and an SDK. On top of it, I've built a CLI and a web application with productivity tools for developers. Who and what I'm looking for My main goal is to leave my current job and build a company around a problem that matters to me, ideally with considerable equity. I’m looking for: A cofounder with product and marketing expertise who sees potential in my tech and can help turn it into a successful business—or someone with a strong business case who needs a technical founder. Mentorship from someone experienced in dev tool startups or as a successful solo founder. I’d love to learn from your journey and would be happy to offer my technical expertise or collaborate on projects in return. Happy to answer any questions or provide more details. Cheers!

What I Learned from a Failed Startup: Seeking Advice on Engineering, Co-Founder Agreements & Execution (i will not promote)

Hey everyone! Long-time lurker, first-time founder here. I’m reaching out to get feedback on a recent startup experience—what went wrong, what I could have done better, and how I should approach future opportunities. The Background There were three founders in this venture: • Founder A (CEO, 50%) – The product/growth guy who identified the problem space. • Founder B (Me, CTO, 37.5%) – A software engineer with a software dev shop and multiple clients. I wanted to diversify into building my own products but am not inherently a “product person.” • Founder C (COO, 12.5%) – Brought into the mix by Founder A, with the goal of leveraging his network for traction once the product was built. The idea was to create Product X, a solution targeting the SMB space while competitors were moving upmarket. It wasn’t revolutionary—more of a strategic market play. The Initial Plan & My Role • Founder A would define and prioritize product specs, guiding what needed to be built. • I (Founder B) didn’t have time to code myself, so I allocated engineers from my dev shop (which I personally paid for). My stake was adjusted from 32.5% to 37.5% to reflect this contribution. • Founder C was more of an observer early on, planning to help with traction once we had a product ready. We agreed on a 1-year cliff and a 4-year vesting schedule for equity. Where Things Started to Go Wrong • Lack of a Clear Product Roadmap – Founder A was very focused on getting something built fast, but we never signed off on a structured roadmap or milestones. I underestimated the complexity of what was actually needed for customer conversations. • Engineering Expectations vs. Reality – The team (one part-time lead + two full-time juniors from my dev shop) faced early feedback that development was too slow. In response, I ramped up the lead to full-time and added a part-time PM. But Founder A continued pushing for speed, despite real hurdles (OAuth integrations, etc.). • Shifting MVP Goalposts – Midway, Founder A concluded that an MVP wouldn’t cut it—we needed a more complete product to be competitive. This meant more engineering, more delays, and more of my own money spent on development. The Breaking Point Near the 1-year vesting mark, we had an opportunity: a paying client willing to fund an app. I didn’t have devs on the bench, so I asked Founder A to hold off our project briefly while I hired more engineers to avoid stalling either effort. This was the final straw. Founder A (with Founder C somewhat aligned) decided the arrangement wasn’t working—citing past disagreements and the “slowness” issue. The decision was made to end the partnership. Now, Founder A, as majority holder, is requesting a full handover of the code, Founder C is indifferent, and all engineering costs I covered are essentially lost. Key Takeaways (So Far) Crystal-Clear Agreements Upfront – A formalized product roadmap and timeline should’ve been locked in from day one. Business Needs > Engineering Standards – I wanted to build something solid and scalable, but in an early-stage startup, speed to market is king. This was before AI tools became mainstream, so our approach wasn’t as optimized. Don’t Overextend Without Protection – I personally financed all engineering, but without clear safeguards, that investment became a sunk cost. Expenses Must Be Distributed – I was solely covering engineering salaries, which created an imbalance in financial risk. Future partnerships should ensure costs are shared proportionally, rather than one person shouldering the burden. Where I Need Advice Looking back, I want to improve as an engineer, CEO, and co-founder. • What should I have done differently in structuring this partnership? • How do you balance engineering quality with the startup need for speed? • As a dev shop owner, how can I better navigate equity deals where I’m also bringing in engineering resources? I really appreciate everyone who went through this long post and provide any insights from founders, engineers, or anyone who has been in a similar situation. Thanks for reading! ===================================================================== For readers who might be thinking what set this type of expectation? Because I had a dev shop and I thought my co-founders will be understanding of my business circumstance and I was a bit trigger to build a product with a C-exec team, I gave the impression of "unlimited" engineering which I later realized down the line that it was not feasible for me. Something I learned that I have to be more careful with and set expectations accordingly from the very beginning. And from the feedback of the commenters here, I am much more aware what I should offer and how to set expectations, esp. in the early stages of execution. So thank you all! 🙏🏾 EDIT: I would like to thank everyone who contributed to this thread. You not only helped me but future founders who are considering to get into the startup scene!

I fell into the builder's trap and need help getting out

Hi r/startups, First-time technical founder here. Two years ago, I decided to leave the 9-5 grind and build something meaningful. Now, I have (what I believe is) a brilliant technical solution but no clear business case. I’m seeking a cofounder with product and marketing expertise to help pivot my project into a viable business - or start a new one. Details below. About Me 36yo, born in Berlin and moved to San Francisco 8 years ago Master's in Software Engineering with 15 years of experience Worked with early-stage startups in Berlin and a venture studio in SF Spent the past years leading a team of 12 shipping enterprise software The tech I've built An AI engine that makes it easy for developers to automate their workflows. It works with code, issues, PRs and integrates with 3rd party systems like error trackers, wikis, ticketing systems, etc. It takes natural language instructions, fulfills them autonomously and responds with a result. The functionality is served as a platform, with an API and an SDK. On top of it, I've built a CLI and a web application with productivity tools for developers. Who and what I'm looking for My main goal is to leave my current job and build a company around a problem that matters to me, ideally with considerable equity. I’m looking for: A cofounder with product and marketing expertise who sees potential in my tech and can help turn it into a successful business—or someone with a strong business case who needs a technical founder. Mentorship from someone experienced in dev tool startups or as a successful solo founder. I’d love to learn from your journey and would be happy to offer my technical expertise or collaborate on projects in return. Happy to answer any questions or provide more details. Cheers!

I spent 6 months on building a tool, and got 0 zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product, Summ, that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

Looking for business partner with technical AI knowledge

Hi all, Posted on here a few times now about my idea (you can read this on my profile). After planning out the details of the process, I can see that it may just be best for me to seek a business partner with has existing AI knowledge. I’m looking for a more technical person who can provide recommendations on AI tools for businesses based on the current processes in order to be more efficient and productive. This is a chance for you to work for yourself and get the money you deserve for your work. No interaction with the client needed and I will do all the sales aspects. Looking for someone UK-based and I am 23 for reference with a consulting and BA background. Please reach out if this interests you :)

What I Learned from a Failed Startup: Seeking Advice on Engineering, Co-Founder Agreements & Execution (i will not promote)

Hey everyone! Long-time lurker, first-time founder here. I’m reaching out to get feedback on a recent startup experience—what went wrong, what I could have done better, and how I should approach future opportunities. The Background There were three founders in this venture: • Founder A (CEO, 50%) – The product/growth guy who identified the problem space. • Founder B (Me, CTO, 37.5%) – A software engineer with a software dev shop and multiple clients. I wanted to diversify into building my own products but am not inherently a “product person.” • Founder C (COO, 12.5%) – Brought into the mix by Founder A, with the goal of leveraging his network for traction once the product was built. The idea was to create Product X, a solution targeting the SMB space while competitors were moving upmarket. It wasn’t revolutionary—more of a strategic market play. The Initial Plan & My Role • Founder A would define and prioritize product specs, guiding what needed to be built. • I (Founder B) didn’t have time to code myself, so I allocated engineers from my dev shop (which I personally paid for). My stake was adjusted from 32.5% to 37.5% to reflect this contribution. • Founder C was more of an observer early on, planning to help with traction once we had a product ready. We agreed on a 1-year cliff and a 4-year vesting schedule for equity. Where Things Started to Go Wrong • Lack of a Clear Product Roadmap – Founder A was very focused on getting something built fast, but we never signed off on a structured roadmap or milestones. I underestimated the complexity of what was actually needed for customer conversations. • Engineering Expectations vs. Reality – The team (one part-time lead + two full-time juniors from my dev shop) faced early feedback that development was too slow. In response, I ramped up the lead to full-time and added a part-time PM. But Founder A continued pushing for speed, despite real hurdles (OAuth integrations, etc.). • Shifting MVP Goalposts – Midway, Founder A concluded that an MVP wouldn’t cut it—we needed a more complete product to be competitive. This meant more engineering, more delays, and more of my own money spent on development. The Breaking Point Near the 1-year vesting mark, we had an opportunity: a paying client willing to fund an app. I didn’t have devs on the bench, so I asked Founder A to hold off our project briefly while I hired more engineers to avoid stalling either effort. This was the final straw. Founder A (with Founder C somewhat aligned) decided the arrangement wasn’t working—citing past disagreements and the “slowness” issue. The decision was made to end the partnership. Now, Founder A, as majority holder, is requesting a full handover of the code, Founder C is indifferent, and all engineering costs I covered are essentially lost. Key Takeaways (So Far) Crystal-Clear Agreements Upfront – A formalized product roadmap and timeline should’ve been locked in from day one. Business Needs > Engineering Standards – I wanted to build something solid and scalable, but in an early-stage startup, speed to market is king. This was before AI tools became mainstream, so our approach wasn’t as optimized. Don’t Overextend Without Protection – I personally financed all engineering, but without clear safeguards, that investment became a sunk cost. Expenses Must Be Distributed – I was solely covering engineering salaries, which created an imbalance in financial risk. Future partnerships should ensure costs are shared proportionally, rather than one person shouldering the burden. Where I Need Advice Looking back, I want to improve as an engineer, CEO, and co-founder. • What should I have done differently in structuring this partnership? • How do you balance engineering quality with the startup need for speed? • As a dev shop owner, how can I better navigate equity deals where I’m also bringing in engineering resources? I really appreciate everyone who went through this long post and provide any insights from founders, engineers, or anyone who has been in a similar situation. Thanks for reading! ===================================================================== For readers who might be thinking what set this type of expectation? Because I had a dev shop and I thought my co-founders will be understanding of my business circumstance and I was a bit trigger to build a product with a C-exec team, I gave the impression of "unlimited" engineering which I later realized down the line that it was not feasible for me. Something I learned that I have to be more careful with and set expectations accordingly from the very beginning. And from the feedback of the commenters here, I am much more aware what I should offer and how to set expectations, esp. in the early stages of execution. So thank you all! 🙏🏾 EDIT: I would like to thank everyone who contributed to this thread. You not only helped me but future founders who are considering to get into the startup scene!

How are you analysing your chatbot/AI interactions to improve customer experience? Struggling to find patterns in conversations... (I will not promote)

Hey startup founders! We’ve been relying heavily on chatbots and AI agents for customer support, but it’s been tough to track whether these interactions are actually driving meaningful outcomes (e.g., retention, upsells). We’re drowning in conversation logs but struggling to: Identify recurring pain points in user queries Spot gaps where the AI gives inconsistent/irrelevant answers Visualize how conversations flow between topics Anyone else dealing with this? How are you structuring your analysis? Do you use any tools to automate insights, or is it all manual digging? (I will not promote)

Consistency problem? I will not promote

I am struggling with being consistent. I know that as a startup founder, I am supposed to do a few things everyday and that's when compounding effect will kick in. However, everyday, I am missing few important tasks. These tasks are like posting on twitter or reaching out to 5 new people on linkedin. How do you guys manage it? I am not looking for ai tools suggestions to automate these as I won't learn anything in the process if I rely on such tools.

I will not promote. I am looking for a collaborator to develop an AI agent.

Hi, I got an Idea and I am looking for someone to collaborate to develop an MVP. I am from Algeria (North Africa), I recently graduated from a university abroad. During my years of study a lot of people (mainly from non-western countries) reached out to me for helping them gather information about enrolling to universities. I helped a lot of the students, and a lot of them were available to pay me for it. There is a huge market for people from non-western countries wanting to study in western countries, and people in my country are available to pay 500 dollars for just getting the chance to get an admission and a visa to study aborad. We are talking generally about sons of rich dads who are lazy or lack information to do the procedure. The procedure to get enrolled is pretty repetitive, meaning that it can be replicated, and generally the universities ask for the same documents, with slightly different requirements. Based on this, I was thinking: Why not automating this? I already have a network of people that can test whatever this AI agent will look like. Now I am in a state in which I need a tech person (I am a techie too) to collaborate. I am serious, and I have personal savings that can be used for tech tools and frameworks to develop an MVP.

I fell into the builder's trap and need help getting out

Hi r/startups, First-time technical founder here. Two years ago, I decided to leave the 9-5 grind and build something meaningful. Now, I have (what I believe is) a brilliant technical solution but no clear business case. I’m seeking a cofounder with product and marketing expertise to help pivot my project into a viable business - or start a new one. Details below. About Me 36yo, born in Berlin and moved to San Francisco 8 years ago Master's in Software Engineering with 15 years of experience Worked with early-stage startups in Berlin and a venture studio in SF Spent the past years leading a team of 12 shipping enterprise software The tech I've built An AI engine that makes it easy for developers to automate their workflows. It works with code, issues, PRs and integrates with 3rd party systems like error trackers, wikis, ticketing systems, etc. It takes natural language instructions, fulfills them autonomously and responds with a result. The functionality is served as a platform, with an API and an SDK. On top of it, I've built a CLI and a web application with productivity tools for developers. Who and what I'm looking for My main goal is to leave my current job and build a company around a problem that matters to me, ideally with considerable equity. I’m looking for: A cofounder with product and marketing expertise who sees potential in my tech and can help turn it into a successful business—or someone with a strong business case who needs a technical founder. Mentorship from someone experienced in dev tool startups or as a successful solo founder. I’d love to learn from your journey and would be happy to offer my technical expertise or collaborate on projects in return. Happy to answer any questions or provide more details. Cheers!

AI Startups: Are We in a Gold Rush or a Bubble? (I will not promote)

AI is everywhere—from automating workflows to building fully autonomous agents, startups are racing to integrate AI into everything. Funding is still flowing, and AI-powered tools are disrupting multiple industries. But here’s the reality: not all AI startups will survive. Many are just wrappers around existing models, offering little real innovation. The cost of running AI at scale is massive, and monetization is still a challenge. The ones that will last? Startups solving real problems, not just riding the hype. I see AI as a long-term game, but not every startup will make it. The ones that truly integrate AI as a value-add, rather than just a marketing buzzword, will thrive. What do you think—is AI the future, or are we in for a reality check? (I will not promote)

I just had the best idea for a startup! Wait… no… 10 ideas!

LLM wrappers on existing saas tools integrate everything all-in-one AI agent founder/mentorship/indiehacker tools piece of marketing (positioned as SaaS) coding tools for your coding tools AI automation to job hunt faster Sales faster, with … AI track all your things in one app, with Ai build a site in seconds… AI + webflow AI driven templates for your AI workflow Seriously that’s all this sub is bye 👋

How Are You Using AI Agents to Automate Marketing/Sales Workflows?

AI agents powered by Generative AI are starting to transform how businesses handle marketing workflows and repetitive tasks, enabling automation that wasn’t possible with traditional tools. From campaign management to content personalization, the potential applications seem endless. I’m curious—what marketing processes are you currently looking to automate, and what challenges are you facing? Are there any Gen AI platforms or AI agent solutions that have impressed you or caught your attention recently? Looking forward to learning from this community and hearing about your experiences! 😊

Should we give up?

I'm currently very demotivated because we're working on our SaaS startup since 1,5 years and we still haven't found active users, let alone a customer. We're building an AI-first tool that automates user research analysis. We've released two MVPs so far and are planning to build a third. People respond well to outreach (5-7% book a demo from those who received a first message) but then they fail to use it. We are talking with users a lot so we are aware of the problems, and we might be able to solve them if we continue building and testing. I find it hard though to solve these problems efficiently, because there are no similar established AI-first products on the market and it feels like we have to create a new UX standard. Some problems might be very hard to be solved, e.g. there are high cost of switching products for many of our potential users. Also, my time is limited, as I recently (5 months ago) became a mother. I can only work 30 hours per week. It's a competitive area we're in and our competitors have gradually developed into the same direction and it's getting harder to position ourselves. Also, GPTs might soon be able to do what we're doing - for free. I feel like AI tools are generally expected by many to be free. The price we're expecting to be able to bill is getting lower and lower and our finance plan is already looking tight. However, there are adjacent audiences which we could target as well, but none of us knows them. Is it normal as a founder to struggle so much at the beginning? I've read that it took established SaaS 2,5 years on average from founding to first revenue. We haven't founded so far so you could say we're not behind \sarcasm\ Shall we keep pushing? My tech co-founder is optimistic and thinks this is where the wheat is separated from the chaff. We're currently supported financially by a government fund so we haven't spent much private money. However, I feel like my career outlook gets worse with each day that I unsuccessfully try to raise this startup.

Good at coding, bad at marketing. Summary

Hello. I posted a question on what to do if you are good at coding but bad at marketing four days ago, and I received so many responses and tips. The original post is here. I was really glad and excited to read comments. To return the favor to the community and add some more value, I’ve summarized all the comments I got on the original post. Here are they, with my personal comments on some of the advice I got. You’ll never believe it, but the most common advice was to learn. Really, the first and only thing you should start with if you’re bad at marketing is learning. Yet learning could be different. I highlighted 5 main areas. Educate yourself on general questions. Learn more about some basics. For example, start by finding out what the 4P’s of marketing are, and afterward, you’ll inevitably run into YouTube videos, seminars, Udemy courses, or any other resource that resonates with you on some ideas/avenues you could pursue. Read books and watch videos. There are tons of books on marketing and sales. People shared in the comments books by Dan Kennedy and “Cashvertising”, written by Drew Eric Whitman. (I’ve never heard of them, but already ordered on Amazon). For sales, the most common idea was to start with YouTube videos. For example, Alex Hormozi videos and Startup school delivered by Ycombinator videos. Check out Indie Hackers and scrutinize it for a piece of good advice from developers in the same situation. Also, there was advice to follow up and read some guy on Twitter. (Don't want to get unfairly banned from here, so won't post it) Educate yourself and hire a professional or find a co-founder to help you: Hire a seasoned marketer in this field to help you out. He will help you achieve cost-efficient scales. But it could be a real problem to find the right person. Marketing agencies are expensive. Try to look on LinkedIn or among your acquaintances. Look for professionals with credentials or extensive experience. Seek marketing referrals from startups of a similar size/industry. If you don't have those, try to bring a trusted/experienced marketer friend into the intro meetings to help assess whether the service provider knows what they are doing. Talented freelancers can often get the job done for less than hiring an entire agency. Look for a co-founder who is savvy in marketing, passionate, and ready to work hard towards mutual success. Educate and DIY Being the face of your business is way better than having faceless communication. The startup checklist is made based on the comments is next: At least have your product defined. Define your target audience. Set up the goals you want to achieve. Make domain expertise and understand the market and the direction of its development. The next stage is answering tricky questions: Have you created a business model? How do you plan to compete? What’s your unique selling point? How much do you plan to budget for marketing? Are you planning to work alone, or will you need other devs? Then you start thinking about clients… You need the exposure to truly understand the customer's pain points and build a product that they love. You need to think about how your clients would think, and you should tailor each step you take for them. Get feedback from your early users if you already have a product. Interview your potential customers to learn how they buy. This will help you narrow your choice of marketing channels. Get your product or service used by several startups and help them achieve their goals. Endorsements are very valuable marketing assets. You need a landing to validate your value proposition and start sending traffic, or you can run meta instant form campaigns... It would depend on the category of your startup. You need a benchmark of the competition's ads both in Meta and Google, blog posts, domain authority, their landing page, and average search volumes. Do affiliate marketing for your product since it's an effective strategy. Educate and use AI tools for dealing with marketing. Build an LLM-based product to automate marketing. (Sounds like an idea for a startup, right?) Learn following ChatGPT advice. In 1–3 months, you will be another updated person. Look at marketowl, an AI marketing department for startups and microbusinesses that have no budget or time to do marketing. It will automate the basic tasks your business needs, but it doesn't require your marketing expertise. Check out AI tools that are delivering very good marketing content (gocharlie, jasper, copyai). Educate yourself and run socials Start a blog or YouTube channel where you can share your expertise in coding or anything else you are good at and how your product simplifies life. Engage with your audience on social media platforms like Instagram and LinkedIn, where you can showcase your industry knowledge. Start a page on Twitter and an account on Reddit. Follow and read subreddits and pages where your potential customers are. Learn the pain from the inside. Do not simply promote, people will lose interest immediately. Start by taking focused time to create informational content, so people will eventually be naturally intrigued by what you do and want to support you when they start to “know” you. Educate your potential users about the value of your product. Create content based on what ideal customers are asking at the various stages of marketing. e.g., if they are at the beginning of the process, they may use basic language; if they are further down the process, maybe they’ll be specific. Try to get on podcasts and build as many social links as you can. In other words, don’t live in a shell! Post regularly, and eventually you’ll find sites or people that are willing to promote for you. I omitted here all personal help offers and newsletters, however you could find them in the original post. Hope that will be helpful!

Would you be paying $10/month for a service that lets you

-create an AI assistant in seconds without any “low code/ no code drag & drop tools”. -that talks to your customer to answer business queries, book your appointments and automate workflows? -can be exported as chatbot, voice call agent, whatsapp and other social media handler.

I spent 6 months on building a web product, and got zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ I have stuff to post on Reddit very rarely, but I share how my project is going on, random stuff, and memes on X. Just in case few might want to keep in touch 👀 TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

Month 2 of building my startup after being laid off - $200 in revenue and 4 (actual) paying customers

In September 2024, I got laid off from my Silicon Valley job. It fucking sucked. I took a day to be sad, then got to work - I'm not one to wallow, I prefer action. Updated my resume, hit up my network, started interviewing. During this time, I had a realization - I'm tired of depending on a single income stream. I needed to diversify. Then it hit me: I literally work with RAG (retrieval augmented generation) in AI. Why not use this knowledge to help small businesses reduce their customer service load and boost sales? One month later, Answer HQ 0.5 (the MVP) was in the hands of our first users (shoutout to these alpha testers - their feedback shaped everything). By month 2, Answer HQ 1.0 launched with four paying customers, and growing. You're probably thinking - great, another chatbot. Yes, Answer HQ is a chatbot at its core. But here's the difference: it actually works. Our paying customers are seeing real results in reducing support load, plus it has something unique - it actively drives sales by turning customer questions into conversions. How? The AI doesn't just answer questions, it naturally recommends relevant products and content (blogs, social media, etc). Since I'm targeting small business owners (who usually aren't tech wizards) and early startups, Answer HQ had to be dead simple to set up. Here's my onboarding process - just 4 steps. I've checked out competitors like Intercom and Crisp, and I can say this: if my non-tech fiancée can set up an assistant on her blog in minutes, anyone can. Key learnings so far: Building in public is powerful. I shared my journey on Threads and X, and the support for a solo founder has been amazing. AI dev tools (Cursor, Claude Sonnet 3.5) have made MVP development incredibly accessible. You can get a working prototype frontend ready in days. I don't see how traditional no-code tools can survive in this age. But.. for a production-ready product? You still need dev skills and background. Example: I use Redis for super-fast loading of configs and themes. An AI won't suggest this optimization unless you know to ask for it. Another example: Cursor + Sonnet 3.5 struggles with code bases with many files and dependencies. It will change things you don't want it to change. Unless you can read code + understand it + know what needs to be changed and not changed, you'll easily run into upper limits of what prompting alone can do. I never mention "artificial intelligence" "AI" "machine learning" or any of these buzzwords once in my copy in my landing page, docs, product, etc. There is no point. Your customers do not care that something has AI in it. AI is not the product. Solving their pain points and problems is the product. AI is simply a tool of many tools like databases, APIs, caching, system design, etc. Early on, I personally onboarded every user through video calls. Time-consuming? Yes. But it helped me deeply understand their pain points and needs. I wasn't selling tech - I was showing them solutions to their problems. Tech stack: NextJS/React/Tailwind/shadcn frontend, Python FastAPI backend. Using Supabase Postgres, Upstash Redis, and Pinecone for different data needs. Hosted on Vercel and Render.com. Customer growth: Started with one alpha tester who saw such great results (especially in driving e-commerce sales) that he insisted on paying for a full year to keep me motivated. This led to two monthly customers, then a fourth annual customer after I raised prices. My advisor actually pushed me to raise prices again, saying I was undercharging for the value provided. I have settled on my final pricing now. I am learning so much. Traditionally, I have a software development and product management background. I am weak in sales and marketing. Building that app, designing the architecture, talking to customers, etc, these are all my strong suits. I enjoy doing it too. But now I need to improve on my ability to market the startup and really start learning things like SEO, content marketing, cold outreach, etc. I enjoying learning new skills. Happy to answer any questions about the journey so far!

What Does “Building a Community” Actually Mean for a Startup?

I’ve talked to a lot of founders, and almost everyone gives the same advice: “Build your product and do sales at the same time. Also, build a community alongside it.” I get the first part. Shipping and selling together makes sense. But the “community building” part? That’s where things get blurry for me. Does community building mean posting regular updates on Twitter or LinkedIn? Does it mean making Instagram reels about the product? Or is it more about actually talking to potential customers one-on-one? When people say “build a community,” do they mean creating a place where users can interact with each other or just a way to keep them engaged with the product? The reason I’m asking is that I see different approaches everywhere. Some founders document their startup journey on social media, and that seems to attract an audience. Others focus on getting early users into a private group (Discord, Slack, or WhatsApp) and nurturing relationships there. And then there are those who take a totally different approach—like building in public, sharing code, or offering free tools to bring people in. For my startup, I’m trying to figure out what community building should look like in 2025. The startup landscape has changed drastically in the past year, especially with AI and automation becoming more mainstream. Founders no longer have time to manually interact with every user. So what’s the new way of doing this? What’s working for early-stage startups today? I’d love to hear thoughts from fellow founders. What does “community” actually mean in today’s world, and what’s the best way to build one?

My app has gone viral and I grew from 1k users (take 5months) to 100k user in 5 days

I've always dreamt of building an online side business where I can build once and sell to millions. I love that business model but have never dreamt that I can achieve that, given that I am not a programmer in my career. I have been following side hustle school and some other business podcast for the past years as a drive and motivation to create my own business.  Over the years, I've delve a little on to web development using WordPress and in the hope of earning some money from that. I learnt in the hard way but is a good learning story and journey. I realised that what you put all your efforts building and excited for doesn't mean anything for anyone else and also learnt the importance of UI UX.  Fast forward to 5 months ago (July 2024), I've came across several low code app builder. With the help of the low code tools in combination with chatgpt, I've finally launched my first mobile app - Rolly: AI Money Tracker. But the business challenges doesn't end here, but it's just the beginning. I got no experience and skills on marketing but I've got my drive and passion that keep propelling me forward. By keep listening on people sharing their journey, looking at different apps to brainstorm etc, I've managed to now grow my user base from 1k (in 5 months) to 100k (in 5days). What's happening was my app somehow got viral in Vietnam when people are getting interest funny comments from my AI during entering the transaction and it has been sharing around in the social media and even featured on the news. What a crazy journey as the inflow of users has been too sudden, my server has been down for a few times until I progressively upgrade it until it got stable these couple of days. As for my advice to people dreaming the to be entreprenuer - Don't overthinking about all the problems you will face before starting. You will encounter hundreds of problems along the way and you just need to solve them one by one. You will never start if you think about what's not working and there will never be an answer for everything - even I don't have an answer for everything now.

The Evolution of Financial Technology: How CAs Are Embracing the Digital Age

The Evolution of Financial Technology: How CAs Are Embracing the Digital Age Introduction In an era characterized by rapid technological advancements, the field of finance is undergoing a transformative journey. The emergence of financial technology, or fintech, is reshaping the way businesses manage their finances, and Chartered Accountants (CAs) are at the forefront of this evolution. In this blog post, we'll explore how CAs are embracing fintech and leveraging its potential to enhance financial management, analysis, and advisory services. Fintech's Impact on Financial Services Fintech encompasses a wide range of technologies that leverage data analytics, artificial intelligence, blockchain, and automation to improve financial services. For CAs, this means new tools to streamline processes, enhance decision-making, and offer innovative solutions to clients. Automation of Routine Tasks CAs are increasingly using automation tools to handle repetitive tasks such as data entry, reconciliations, and transaction processing. This not only reduces the risk of human error but also frees up CAs to focus on higher-value tasks like strategic planning and analysis. Advanced Data Analytics Data analytics tools enable CAs to extract meaningful insights from large volumes of financial data. These insights can help businesses identify trends, anticipate risks, and make informed decisions to drive growth. Real-Time Financial Reporting Fintech enables CAs to provide clients with real-time financial reporting, giving businesses immediate access to critical information. This enhances transparency and empowers business owners to respond quickly to changing market conditions. Enhancing Audit Efficiency Fintech tools are revolutionizing the audit process. CAs can use AI-powered algorithms to analyze vast amounts of data, detect anomalies, and identify potential instances of fraud more efficiently. Personalized Financial Planning CAs can leverage fintech to offer personalized financial planning services. With access to detailed financial data, CAs can create tailored strategies that align with a client's unique goals and circumstances. Strengthening Cybersecurity As businesses become more reliant on digital tools, cybersecurity becomes paramount. CAs are playing a critical role in advising clients on cybersecurity measures to protect sensitive financial information. Virtual CFO Services Fintech enables CAs to offer virtual CFO services to startups and small businesses. Through digital platforms, CAs can provide expert financial advice and guidance remotely, making their expertise accessible to a wider range of clients. Embracing Blockchain Technology Blockchain's potential for secure and transparent record-keeping is of interest to CAs. They can explore applications in supply chain finance, smart contracts, and even audit trail verification. Continuous Learning in Fintech CAs recognize the importance of staying updated with fintech trends. Many are investing in continuous learning to master the use of new tools and technologies that can optimize their services. Conclusion The integration of fintech into the realm of finance is reshaping the landscape in profound ways. CAs are embracing these technologies to elevate their roles from traditional number-crunchers to strategic advisors, equipped with tools that enhance efficiency, accuracy, and insight. As fintech continues to evolve, CAs will remain pivotal in guiding businesses through the ever-changing financial landscape, leveraging technology to drive growth, innovation, and success. Find the top verified CA in your City Feel free to let me know if you'd like more blogs on different topics or if you have specific requirements for the content.

Struggling with my dog-themed clothing store – How can I make it better?

TL;DR: I own a dog-inspired store that’s struggling to make sales. I need your honest feedback to make it better. Hey reddit, I’m turning to you because I really need your honest feedback. I run a small online shop, dogloverclothing.com, where I sell dog-inspired fashion items and accessories (product list is growing). I poured my heart into creating it because I’m a huge dog lover (I own a Corgi and a Beagle), and I thought there must be others out there who’d resonate with the style of my designs. I truly believe my shop is fun and creative and I thought other dog lovers would easily connect with the dog-theme behind it. But I’m struggling. I’ve only made 1-2 sales a year and I feel like I’ve hit a wall. Let me be completely transparent about my situation: I have a small child who needs my care in the afternoons. I work part-time in the mornings, and the only time I'm able to work on my shop is in the evenings (once all the usual household chaos is settled) or on weekends. That gives me maybe 1-2 hours a day to focus on this project. I don’t have the money or time for big ad campaigns, influencer cooperations, daily social media activity, or even professional photoshoots for my products. My visuals are mostly created with AI tools, stock imagery, and mockup generators, but I think they look professional enough to be converting. I tried small ad campaigns, and while I got a few sales, the ad costs ended up being higher than my revenue, so I had to stop. I also tried organic Social Media activity, but the time I put into that did not turn into any traffic, followers or sales, so I also stopped that. I know that putting myself/my face out there on social media could help, but I’m not comfortable showing my face or apartment in videos or ads. I could do flatlays or simple videos with the products I have at home. Right now, I’m putting all my energy into SEO, hoping to attract organic traffic and customers. Otherwise, I feel stuck with marketing. I want to make the most of the limited time and resources I have. My dream definitely isn’t to get rich here from this shop. I would love to make an extra $300-500 a month to make life a little easier for my family, while fulfilling my creative streak – and that's about it. I’m not sure if that’s even realistic, but it’s what keeps me going. So, guys: What do you think I’m doing wrong or could do better? Is it the designs? The pricing? The website layout? The lack of time/lack of money? How can I make this work with my limited time and resources? Are there any affordable, creative marketing strategies you’d recommend for someone in my shoes? Is my goal of $300-500/month realistic for a store like mine? I’m open to all your ideas, tips, and even brutal honesty. This isn’t just a business for me, it’s my passion project, and I’d love to make it somewhat of sustainable. I’m not here to sell you something. I’m here to learn. I know Reddit doesn’t hold back, and that’s what I need. Can you take a look at my site, tell me what you think, and help me figure out why this dream hasn’t taken off yet? I know running a business is tough, and I deeply admire everyone in this community who’s making it work. I’d love to hear your insights, experiences, and even your tough love if that’s what it takes to get my dream back on track. Thank you so much for taking the time to read this and for any advice you can offer!

Idea Validation Post: Seeking Feedback on My AI-Driven Quick Launch Application! 🚀

Hey Members! I’m excited to share an idea for a new application I’m planning to build: Quick Launch . This AI-driven platform is designed to assist solopreneurs or anyone with an idea in launching their Minimum Viable Products (MVPs) by taking on the roles of the entire team needed for the process. Goal: Assistance in quickly moving from Idea to MVP Before I dive into the details, I’d love to hear your thoughts and feedback. Key Features: Product Creation: From Idea to Product Detailing AI-Generated Q&A: Real-time questions generation one-at-a-time to define the product requirements based on their knowledge levels to convert an Idea into a Product. Market Research Reports: In-depth analysis that identifies product-market fit, competitive landscape, and potential marketing strategies. Sentiment Analysis: Evaluation of user feedback and reactions across multiple subreddits to gauge public opinion on ideas. Product Development: Product Detailing to Actual Product User Story Generation: Identification and creation of comprehensive user stories, tasks, and sub-tasks to facilitate development. AI Project Management: AI agents assume roles of project managers and UI/UX designers to streamline product detailing and development. Integration Capabilities: Seamless integration with popular project management tools like Jira, Asana, and Trello for better workflow management. Target Audience: Solopreneurs: Individuals looking to bring their business ideas to life without extensive resources. Indie Hackers: Entrepreneurs focused on building small projects or startups with minimal overhead. Idea Validators: Anyone with a concept seeking initial validation and market feedback before committing significant resources. If you’re interested in learning more, check out our teaser website: Quick Launch Discussion Question: What features would you find most valuable in an application like this? Are there specific pain points you face when launching an MVP? Your insights would be incredibly helpful as I refine this idea! Looking forward to your thoughts! 🙌

The Future of AI in eCommerce Marketing: What to Expect 🚀

Hey Reddit community! As we dive deeper into 2025, the integration of AI in eCommerce marketing is becoming more sophisticated and impactful. Here’s a look at where AI is headed and how it's revolutionizing the industry: Personalized Shopping Experiences: AI is enhancing personalization by analyzing consumer behavior and preferences, allowing retailers to offer tailored recommendations and promotions. This not only boosts customer satisfaction but also increases conversion rates. Chatbots and Virtual Assistants: AI-powered chatbots are becoming more intuitive and capable of handling complex queries, providing 24/7 customer support, and improving overall user experience. They’re a game-changer for eCommerce businesses looking to enhance customer engagement. Predictive Analytics: With AI, businesses can leverage predictive analytics to forecast trends, optimize inventory, and refine marketing strategies. This helps in making data-driven decisions that align with consumer demands and market dynamics. Automated Content Creation: AI tools are being used to generate product descriptions, social media posts, and even ad copy. This automation saves time and ensures consistency across marketing channels. Visual and Voice Search: AI is powering visual and voice search capabilities, making it easier for consumers to find products using images or voice commands. This technology is set to transform how users interact with eCommerce platforms. Fraud Detection: AI algorithms are improving fraud detection by analyzing transaction patterns and identifying anomalies. This is crucial for maintaining trust and security in online shopping. As AI continues to evolve, it will undoubtedly reshape the eCommerce landscape, offering new opportunities for innovation and growth. What are your thoughts on the future of AI in eCommerce marketing? Let's discuss!

Your offer is the biggest problem in outreach

Cold outreach isn’t failing because you don’t have the right tools. The real question isn’t whether you’re reaching the right people. It’s whether they actually need what you’re selling. AI Tools can automate the process, but they won’t sell product nobody wants. So once again the question isn’t how you reach people – it’s why they should care. Do they actually need what you’re selling? Is your offer different enough? In old markets, where everyone sells the same thing, the only way to win is through discounts and price wars. In new markets, the challenge is even bigger. You have to educate people before they even realize they have a problem. Finding the right people? Mostly solved. Messaging and delivery? Already optimized. What’s left? Market fit. If outreach isn’t working, your reply rate will tell you why. It’s the best indicator of whether you’re in the right market and if there’s a real chance to build a profitable business. Cold outreach isn’t just about selling today – it’s about planting seeds for tomorrow. The tools will only work if the strategy is right.  Here am I, CEO of tool for cold outreach. Ask your questions. Ready to answer and help.

Ai C-Level team

I've been exploring ways to run a company where I'm essentially the only internal team member, relying entirely on a suite of specialized AIs for executive roles, supported occasionally by external consultants for niche expertise. My goal is to stay lean, agile, and highly creative, especially in a fashion/tech brand context. Essentially, I'm building an AI-driven C-Level team, or what I like to call a "C-Level AI Wallet." Here's what I'm thinking for the key executive roles I'd need to cover with AI: CEO AI – Responsible for overall strategy, decision-making, trend analysis, and guiding the company's vision. I'd probably lean on something advanced like Gemini, GPT-4, or similar models, fine-tuned with market-specific data. COO AI (Operations): I'd need tools that streamline and automate logistics, supply chain management, and day-to-day operations (think something along the lines of Zapier AI integrations or Make). CMO AI (Marketing & Content): For branding, content creation, digital marketing, and consumer insights, I'd use Jasper or Copy.ai, combined with predictive analytics tools like Google Vertex AI to understand trends better. Additionally, for generating engaging visual and multimedia content, tools like Midjourney, DALL·E, Adobe Firefly, and Runway ML would be perfect. CFO AI (Financial Management): For financial management, cash flow control, and investment decisions, I'd probably leverage AI tools like Bloomberg GPT, combined with AI-powered forecasting platforms. CHRO AI (Human Resources & Culture): Although the internal team is minimal (just myself!), I'd still rely on AI for tasks like project management, freelancer hiring, and performance tracking—tools like HireVue AI, Motion, or even Notion's AI could be beneficial here. CSO AI (Sustainability & Compliance): Since sustainability and ethical sourcing are critical, I'd integrate ESG-focused AI tools to ensure transparency and responsible sourcing. My idea is that, with the right AI tools seamlessly integrated, I can manage the strategic vision and creative direction personally, leveraging external consultants only when necessary. This setup would ideally allow me to operate as a one-person internal team supported by a robust "wallet" of AI executives. Has anyone tried a similar approach? What AI tools would you recommend for a truly lean, innovative brand structure? I'm very curious about your experiences or suggestions—let me know your thoughts!

Optimizing your business with AI

Everyone's talking about it...it can be a threatening or it can be an advantage, but either way, if you don't anticipate it, you're going to be left in the dust. I opened my sports management business nearly 2 years ago and things have been going really well. The clientele is growing, the revenue and projects are doubling every quarter, and headcount is tripling this year. That being said...as the owner and founder of the business, I'm looking for resources to learn more about streamlining operations and admin. I believe that understanding capabilities, the lynch pins, the applications, and the tools to unleash AI are going to be instrumental to how i grow the business to scale...does anyone have any knowledge or nudges about where I can dig into this? Traditional educational courses? Resources or AI integration businesses? Consultants? Thanks in advance for any and all your suggestions!

I spent 6 months on building a web product, and got zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ I have stuff to post on Reddit very rarely, but I share how my project is going on, random stuff, and memes on X. Just in case few might want to keep in touch 👀 TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

How are you using AI at your business?

I am curious to learn how small businesses are implementing AI to automate business processes. What part of the business is benefiting most from AI tools.

Implementing AI features on your business website

Hi, with AI making headlines recently, I am wondering ways that different business owners have thought to improve their websites using AI (aside from generating content). What AI tools do you think would add value to your website?

Small business teaching and implementing ai

Purely a question as a "poll" and will not accept business if interested on this platform. My name is anonymous. Question: I want to teach people, seniors, and small businesses to use chatgpt/other ai tools. Ideally it would be a small profit venture by charging per support ticket and prompt engineering sessions. Is this a bad idea? I know people who know and do not know chatgpt, those who do use it but only at a basic level. I feel even if I charge a few dollars but empower people I could reach several thousand and make a living?

What are your struggles with AI implementation?

Hey! I am working on a project (won't advertise it so won't even give a name & I don't have it anywhere in my profile) to help people with AI implementation in their businesses. We have already covered areas of how to spot AI opportunities and various tools, etc, but I wanted to know a bit more what others are struggling with. What are your challenges in AI implementation in your business? What kind of material (guide, checklist, roadmap, whatever) help entrepreneurs and business executives to finally get on the AI train and grow their businesses? Any suggestions and pain points are welcome. The more you share, the better guides we will create to help businesses with AI adoption. Cheers

Looking for Feedback on this Idea

Hey everyone, I’d love some honest feedback on an idea I’ve been working on (currently just in paper). A little about me: I started in hospitality across South America and Asia, then moved into social entrepreneurship in a rural area, and eventually ecommerce using WordPress. Now, I’m deep into programming here in Europe, which I’ve really come to enjoy. So yes, I understand the perspective of businesses, entrepreneurs and programmers.  Back when I had tons of ideas for businesses and optimizing processes, I always hit the same drama: "You need a developer." But hiring one was too expensive or unreliable or shady business practice, and partnering with a programmer, someone I barely knew often felt too risky (I've learned the hard way that partnerships can feel like marriages). Now, as a programmer, I get a lot of requests from small businesses needing help and sometimes with very simple ideas. And while I can do it, I often don’t have the time, so I have to tell them I can't. And when I do have time, I know the cost can be too much for their budget. This got me thinking: What if I created a course to teach business owners just enough programming to solve their own problems? Not to become full time coders, but to gain enough knowledge to build simple tools or, better yet, understand code enough to ask the right questions whether it's to AI or a future developer. The course would focus on programming but talking business language, starting with building more flexible websites, managing your own content and creating custom tools without the limitations of templates or paid widgets. I’m thinking of creating a supportive community where we learn and grow together (maybe using your business as an example), and I’d be available to help along the way, plus I will be adding tools that you could reuse for your business (mostly because you will be able to read it and understand it → that's the goal). Talking about money, I can only tell you will be way more affordable compared to multiple payments in different places. So, does this resonate with you? I’d really appreciate your honest thoughts. Do you feel you have the time to learn or you still prefer looking for a developer? Feel free to share any frustrations or ideas. And if this sounds interesting, write me a PM, and I’ll keep you updated. Thanks for reading. I'm excited to hear what you think! :)

Aspiring AI Consultant seeking advice & connections in Healthcare to get started

I’m an aspiring entrepreneur with a background in software engineering with 3 years of experience consulting for a medical device OEM. I’ve recently decided to venture out and start my own AI consultancy/integration services business, with an initial focus on non-clinical use cases in healthcare (e.g., workflow automation, predictive analytics, etc.). So far, I’ve done my research and have identified a few good potential use-cases, but I’m currently stuck because: I don’t have any direct connections with people who work in a healthcare setting. I’m unsure about the best next steps to validate my ideas and move forward. I’m reaching out here to seek guidance on how to proceed. Specifically: Are there any healthcare professionals here who could share insights into day-to-day challenges and workflows in non-clinical settings? What are the biggest operational pain points you face that could potentially benefit from automation or AI solutions? (Forget about the AI part—just think about tools or capabilities that could make your life easier.) If you’ve been in a similar position starting a business, how did you connect with potential clients or validate your ideas? I’d also love to hear from anyone who has tried offering AI consultancy or similar services, especially in healthcare. This is a genuine attempt to learn and grow, and I’m open to any advice, feedback, or even collaborations. If you’re in healthcare or know someone who might be able to help, I’d be incredibly grateful if you could point me in the right direction.

Idea Validation Post: Seeking Feedback on My AI-Driven Quick Launch Application! 🚀

Hey Members! I’m excited to share an idea for a new application I’m planning to build: Quick Launch . This AI-driven platform is designed to assist solopreneurs or anyone with an idea in launching their Minimum Viable Products (MVPs) by taking on the roles of the entire team needed for the process. Goal: Assistance in quickly moving from Idea to MVP Before I dive into the details, I’d love to hear your thoughts and feedback. Key Features: Product Creation: From Idea to Product Detailing AI-Generated Q&A: Real-time questions generation one-at-a-time to define the product requirements based on their knowledge levels to convert an Idea into a Product. Market Research Reports: In-depth analysis that identifies product-market fit, competitive landscape, and potential marketing strategies. Sentiment Analysis: Evaluation of user feedback and reactions across multiple subreddits to gauge public opinion on ideas. Product Development: Product Detailing to Actual Product User Story Generation: Identification and creation of comprehensive user stories, tasks, and sub-tasks to facilitate development. AI Project Management: AI agents assume roles of project managers and UI/UX designers to streamline product detailing and development. Integration Capabilities: Seamless integration with popular project management tools like Jira, Asana, and Trello for better workflow management. Target Audience: Solopreneurs: Individuals looking to bring their business ideas to life without extensive resources. Indie Hackers: Entrepreneurs focused on building small projects or startups with minimal overhead. Idea Validators: Anyone with a concept seeking initial validation and market feedback before committing significant resources. If you’re interested in learning more, check out our teaser website: Quick Launch Discussion Question: What features would you find most valuable in an application like this? Are there specific pain points you face when launching an MVP? Your insights would be incredibly helpful as I refine this idea! Looking forward to your thoughts! 🙌

What CRM system works best for commercial loan brokers?

Setting up any business model needs a solid CRM that can also work with other software tools that automate the back office. In this new tech world AI has become a good tool that can help find this answers many entrepreneurs are looking for to maximize their time. So I recently asked and AI system the question on this post title and it came up with this: Selecting the right Customer Relationship Management (CRM) system is crucial for commercial loan brokers to efficiently manage client relationships, streamline loan processes, and enhance overall productivity. Here are some CRM solutions tailored for commercial loan brokers: • AscendixRE CRM for Capital Markets • BNTouch Mortgage CRM • LendingWise CRM • Salesforce Financial Services Cloud I personally do not have experience with these, but I used NetSuite for many years for a different industry and it great but it is very expensive for a small business. If you work in this space or have experience with CRMs, what works best yet affordable?

Advice on Launching an AI Task Assistant for Forgetful People

Hi everyone, I’m working on an idea for an AI assistant that helps people stay on top of their tasks—like remembering to cancel a gym membership or following up on an important email. What makes this different is that it doesn’t require downloading yet another app. Instead, it integrates with tools people already use, like: WhatsApp Slack SMS Email For critical tasks, it could even escalate reminders to a phone call to make sure nothing gets missed. The main features I’m building include: Daily Check-ins: Quick updates to keep tasks and schedules on track. Persistent Follow-ups: Friendly nudges until tasks are completed or rescheduled. Proactive Scheduling: Automatically resolving conflicts in a calendar. Escalating Reminders: Escalating priority tasks via calls if needed. I’d love to ask for your advice: As a small business owner, would features like these help you or your team stay organized? What’s missing in existing task management tools for busy entrepreneurs? Do you think the “no app needed” angle is compelling enough to stand out in a crowded market? I’m still testing and refining this concept, and I’d love to hear your insights to help make it better. Thanks in advance for sharing your thoughts and feedback!

I spent 6 months on building a web product, and got zero users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ I have stuff to post on Reddit very rarely, but I share how my project is going on, random stuff, and memes on X. Just in case few might want to keep in touch 👀 TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2C products beats building B2B products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

Is Digital Marketing Dying?

Is Digital Marketing Dying? &#x200B; I have read articles and seen youtube videos saying, DIGITAL MARKETING IS DYING, AI will replace everything. Facebook is dying! SEO will be Automated You have AI Tools in marketing replacing many jobs roles such as, Copy. AI, Quillbot, Paraphraser, Design. AI, MadgicX, Etc &#x200B; Having been in Digital Marketing for two years, all my seniors are having 2nd thoughts about it. I don,t want to change my domain. I believe marketing will always be there, but the methods, technologies, and tools will change. &#x200B; What do you people have to say?

The Evolution of Financial Technology: How CAs Are Embracing the Digital Age

The Evolution of Financial Technology: How CAs Are Embracing the Digital Age Introduction In an era characterized by rapid technological advancements, the field of finance is undergoing a transformative journey. The emergence of financial technology, or fintech, is reshaping the way businesses manage their finances, and Chartered Accountants (CAs) are at the forefront of this evolution. In this blog post, we'll explore how CAs are embracing fintech and leveraging its potential to enhance financial management, analysis, and advisory services. Fintech's Impact on Financial Services Fintech encompasses a wide range of technologies that leverage data analytics, artificial intelligence, blockchain, and automation to improve financial services. For CAs, this means new tools to streamline processes, enhance decision-making, and offer innovative solutions to clients. Automation of Routine Tasks CAs are increasingly using automation tools to handle repetitive tasks such as data entry, reconciliations, and transaction processing. This not only reduces the risk of human error but also frees up CAs to focus on higher-value tasks like strategic planning and analysis. Advanced Data Analytics Data analytics tools enable CAs to extract meaningful insights from large volumes of financial data. These insights can help businesses identify trends, anticipate risks, and make informed decisions to drive growth. Real-Time Financial Reporting Fintech enables CAs to provide clients with real-time financial reporting, giving businesses immediate access to critical information. This enhances transparency and empowers business owners to respond quickly to changing market conditions. Enhancing Audit Efficiency Fintech tools are revolutionizing the audit process. CAs can use AI-powered algorithms to analyze vast amounts of data, detect anomalies, and identify potential instances of fraud more efficiently. Personalized Financial Planning CAs can leverage fintech to offer personalized financial planning services. With access to detailed financial data, CAs can create tailored strategies that align with a client's unique goals and circumstances. Strengthening Cybersecurity As businesses become more reliant on digital tools, cybersecurity becomes paramount. CAs are playing a critical role in advising clients on cybersecurity measures to protect sensitive financial information. Virtual CFO Services Fintech enables CAs to offer virtual CFO services to startups and small businesses. Through digital platforms, CAs can provide expert financial advice and guidance remotely, making their expertise accessible to a wider range of clients. Embracing Blockchain Technology Blockchain's potential for secure and transparent record-keeping is of interest to CAs. They can explore applications in supply chain finance, smart contracts, and even audit trail verification. Continuous Learning in Fintech CAs recognize the importance of staying updated with fintech trends. Many are investing in continuous learning to master the use of new tools and technologies that can optimize their services. Conclusion The integration of fintech into the realm of finance is reshaping the landscape in profound ways. CAs are embracing these technologies to elevate their roles from traditional number-crunchers to strategic advisors, equipped with tools that enhance efficiency, accuracy, and insight. As fintech continues to evolve, CAs will remain pivotal in guiding businesses through the ever-changing financial landscape, leveraging technology to drive growth, innovation, and success. Find the top verified CA in your City Feel free to let me know if you'd like more blogs on different topics or if you have specific requirements for the content.

80+ Social Media Updates Related to Business Marketing That Occurred in last 5 months

Tiktok expanded its caption limits from 100 to 500 Characters. Reddit Updates Search tools, Now you can search User Comments. “Comment search is here”. Pinterest Announces New Partnership with WooCommerce to Expand Product Listings. Google’s launched ‘multisearch’ feature that lets you search using text and image at the same time. Etsy sellers went on strike after platform increases transaction fees. Reddit launched $1 million fund to support various projects going on platform. Instagram is updating its ranking algorithm to put more focus on Original Content LinkedIn Added New tools In creator mode: improved content analytics and Updates profile video Options. Tiktok launched its own gif library “Effect House”. Instagram Updates Reels editing tools adding reordering clips feature. Google Search got a new label to direct people to original news sources YouTube launches new Profile Rings for Stories and Live. Snapchat launched YouTube Link stickers to make video sharing easier! Messenger adds new shortcuts, including a slack like @everyone feature. Pinterest Expands it’s Creator funds program to help more Underrepresented creators. Reddit brings back r/place after 5 years. Google Adds New Seller Performance Badges, New Pricing Insights for eCommerce Brands. Meta and Google agrees to New Data Transfer agreement to keep Instagram and Facebook running in EU. Twitter tests New Interactive Ad types to boost its promotional Appeal. Instagram removed In-stream Ads from its Advertising Options. Tiktok launched new program “CAP” to help creative agencies reach its audience. Twitch shuts down its desktop app. Meta launched the ability to add “share to Reels” feature to third Party Apps. TikTok Adds New ‘Background Player’ Option for Live-Streams. Twitter rolls out ALT badge and improved image description. Fast, A Checkout Startup with $15 billion valuation shuts down after spending all the funds raised in 2021. Wordpress announced new pricing with more traffic and storage limits after receiving backlash from the community. Sales force upgrades marketing field services and sales tools with AI. Dropbox shop launches in open beta to allow creators to sell digital content. Tiktok is the most downloaded app in Quarter 1 of 2022. WhatsApp announced launch of ‘Communities’ - more structured group chats with admin controls. Tiktok expands testing a private dislike button for comments. Twitter acquired “Openback” A notification app to improve timeline and relevance of push notifications YouTube and Tiktok added New options for Automated Captions, Improving Accessibility. A new social media App “Be Real” is trending across the internet grabbing Gen-Zs attention to try the app. WhatsApp got permission to expand payment services to its Indian user base of 100 Million. YouTube Shorts now allows creators to splice in long-form videos. You can use long form video audios and clips for YT shorts. New Snapchat feature ‘Dynamic Stories’ uses a publisher’s RSS feed to automatically create Stories posts. Zoom launches AI-powered features aimed at sales teams. Tiktok started testing who viewed your profile feature. Ogilvy Announced they will no longer work with who edit their bodies and faces for ads. If you don’t know “Oglivy” is the most successful advertising agency of the decade. YouTube Launches New ‘Search Insights’ for all creators. Snapchat Added 13 million new users in Q1 2022 more than both Twitter and Facebook. Google is Introduced new options to reject tracking cookies in Europe after receiving fines from violating EU data laws. Sony & Microsoft are planning to integrate Ads into their gaming platforms Xbox and PlayStation. YouTube Adds new Shorts Shelf to Trending Tab to show Top Shorts in an alternative section. Instagram started testing a reels template feature which enables creators to copy formats from other reels. Google Tests “What People Are Saying” Search Results. Twitter Launches New Test of Promotions for Third Party Tools Within the App. Instagram is changing how hashtags work by experimenting removing Recents tab from hashtags section. Google Adds New Publisher Verification Badges to Extension Listings in the Google Web Store Amazon AWS launches $30M accelerator program aimed at minority founders. Meta launched more fundraising options for Instagram Reels in 30 countries. Brave Search and DuckDuckGo will no longer support Google AMP due to privacy issues. Instagram is working on a pinned post feature and will officially launch in next few months. Meta: You can now add Music to your Facebook comments Twitter tests new closed caption button to switch on captions in Video Clip Elon Musk Bought Twitter $44 Billion and Company is set to go private. Google now lets you request the removal of personal contact information from search results YouTube reveals that Ads between YT Shorts are being tested with selective brands. LinkedInis rolling out a new website link feature. Google Reduces Visibility Of Business Edits With Color Changes To Profile Updates. Instagram expands testing of 90 second Reels. Microsoft Advertising now offers incentive features like cash-back and adding stock images from your website. Facebook & Pinterest are growing again despite all the hype around slow growth of both platform in last quarter. Google Added 9 new Ad policies to prevent misleading ads taking place. Tiktok Introduces Third-party cookies to its Pixel. (like Facebook Pixel) Twitter reportedly overcounted number of daily active users for last 3 years. Google launched Media CDN to compete on content delivery. YouTube expands Thank You Monetisation tool to all eligible creators. Twitch is looking to expand their cut from streamers earnings from 30 to 50% and also thinks of boosting Ads. Snapchat launches a $230 flying drone camera and new e-commerce integrations in Snap Summit 2022. YouTube Expands its ‘Pre-Publish Checks’ Tool to the Mobile App Google Search Console’s URL parameter tool is officially removed for a time period. Twitter creators can now get paid through Cryptocurrency on Twitter with Stripe. Jellysmack- One of the Influencer marketing agency acquires YouTube analytics tool Google & Microsoft Ads brought more revenue in last quarter- 22% Gains! WhatsApp is working on a paid subscription for multi-phone and tablet chatting. Instagram users now spend 20% of their time in the reels section. Google tests new Color for clicked search results by you. Now Clicked results are in Purple. Twitter: Elon plans to remove employees and focus more on influencers for twitter’s growth + new monetisation ideas were shared. YouTube revenue falls as more users spend time on shorts tab than consuming long form content. Drop 👋 to receive June Updates!

Game-Changer or Overkill? Seeking Feedback on a SaaS Idea for Marketing Agencies

Hello, I’m working on a SaaS platform idea tailored for digital marketing agencies, and I’d love your input. The Concept: We’re developing a platform that combines automation tools with AI-powered chatbots. Here’s how it works: Automation Tools:Our platform offers tools (automation tools similar to zapier)to help agencies manage tasks like scheduling social media posts, running ad campaigns, and handling customer inquiries. AI Chatbot #1:This chatbot is trained on the agency’s data, helping them manage clients more efficiently by automating responses and streamlining internal processes. AI Chatbot #2: Agencies can offer this chatbot to their clients (businesses). It’s trained on the specific needs of the client’s business, enhancing their customer interactions. The key idea is that the agency can brand this chatbot as their own. My questions are:- Validation: In your opinion,Does this idea address real pain points in digital marketing? Opportunities:How could we make this platform even more valuable? Thanks for your feedback!

Looking to streamline and update family business

Hey r/smallbusiness, I’ve been working at my family’s business for six years now—joined right after college—and I’ve realized that we’re long overdue for an overhaul. I handle advertising sales, and while the business itself is solid, the way we operate is extremely outdated. Without revealing too much, we print about 180 publications, and businesses pay to have their ads featured. As a sales rep, my job includes: Renewing current advertisers Finding new customers and making sales Collecting artwork for ads Gathering billing info Laying out the ad grid with all advertisers The Problem: Everything is still done with pen and paper. We use carbon copy paper to record business details, billing info, and ad costs. One copy goes to the graphic designers, the other to billing. The billing team manually enters everything into QuickBooks, prints invoices, stuffs envelopes, and mails them out. We recently got new software that lets us send invoices via email and text through QuickBooks, which is a step in the right direction, but it’s just a small fix to a much bigger problem. What I Want to Change: Move everything onto an app or website—no more paper. Digitally layout the ad grid instead of doing it manually. (For graphics team) Collect billing info online instead of writing it down. (Obviously to get paid faster and reduce wasted labor) Automate renewal emails instead of calling every single customer. (Save time) Find more efficient ways to generate leads for new business. (Work smarter not harder) Honestly, the company still runs like my grandma set it up in the '90s, and it’s overwhelming trying to figure out where to start. If anyone has been through something similar or has advice on modernizing a business, I’d love to hear your thoughts! Happy to provide more details if needed. I’ve explored some CRMs and AI tools, but I’m sure someone here has better insights or more experience with this than I do. There are other parts of the business that need improvement, but I believe this would be a big step in the right direction. Thanks in advance!

ChatGPT for business automation (incredible new AI)

Hey fellow small business owners! I'm curious to know how you would use ChatGPT or other AI automation tools to improve your business. For those who are not aware, recently a new chat AI was made available to the public by OpenAI, called ChatGPT. (same company that did Dall-E) In a tweet Elon Musk wrote that "ChatGPT is scary good. We are not far from dangerously strong AI." It allows anyone (regardless of tech skill) to simply type commands and it will spit out answers. It can also create actual working code. For example most tasks you do in a browser can be automated with a Python script, but it takes time and coding knowledge to create. With ChatGPT you can just tell it what you want and it will create the code! The impact for businesses is insane: 1) Your entire customer service can be easily replaced by chat bots and probably soon by AI that can speak over the phone (google showcased this in 2018, it already exists). 2) you can have the AI automate your sales process, creating a 1-on-1 conversations, at scale. It can probably also improve and optimize it's closing rate over time as it learns more about your customers. 3) It can be used to train your staff. It's really good for 1on1 instruction and teaching because it will go a the students pace and answer questions (compare that to the usual PowerPoint presentation people use) 4) Since it can create code to automate most tasks a human can do in a browser, you can create for example bots that take customer orders and automatically import them to whatever shipping system you use, send customers tracking info etc. (a lot of this stuff is done with software and APIs, but now anyone can create their own, custom solutions) I feel like we hit an inflection point in 2022 with AI and now we are beginning to see some really useful stuff coming out. Am I crazy or are we about to see a massive shift in how we do things?

Ai C-Level team

I've been exploring ways to run a company where I'm essentially the only internal team member, relying entirely on a suite of specialized AIs for executive roles, supported occasionally by external consultants for niche expertise. My goal is to stay lean, agile, and highly creative, especially in a fashion/tech brand context. Essentially, I'm building an AI-driven C-Level team, or what I like to call a "C-Level AI Wallet." Here's what I'm thinking for the key executive roles I'd need to cover with AI: CEO AI – Responsible for overall strategy, decision-making, trend analysis, and guiding the company's vision. I'd probably lean on something advanced like Gemini, GPT-4, or similar models, fine-tuned with market-specific data. COO AI (Operations): I'd need tools that streamline and automate logistics, supply chain management, and day-to-day operations (think something along the lines of Zapier AI integrations or Make). CMO AI (Marketing & Content): For branding, content creation, digital marketing, and consumer insights, I'd use Jasper or Copy.ai, combined with predictive analytics tools like Google Vertex AI to understand trends better. Additionally, for generating engaging visual and multimedia content, tools like Midjourney, DALL·E, Adobe Firefly, and Runway ML would be perfect. CFO AI (Financial Management): For financial management, cash flow control, and investment decisions, I'd probably leverage AI tools like Bloomberg GPT, combined with AI-powered forecasting platforms. CHRO AI (Human Resources & Culture): Although the internal team is minimal (just myself!), I'd still rely on AI for tasks like project management, freelancer hiring, and performance tracking—tools like HireVue AI, Motion, or even Notion's AI could be beneficial here. CSO AI (Sustainability & Compliance): Since sustainability and ethical sourcing are critical, I'd integrate ESG-focused AI tools to ensure transparency and responsible sourcing. My idea is that, with the right AI tools seamlessly integrated, I can manage the strategic vision and creative direction personally, leveraging external consultants only when necessary. This setup would ideally allow me to operate as a one-person internal team supported by a robust "wallet" of AI executives. Has anyone tried a similar approach? What AI tools would you recommend for a truly lean, innovative brand structure? I'm very curious about your experiences or suggestions—let me know your thoughts!

Would You Pay for a Simple Course on How Small Businesses Can Integrate AI Without the Noise?

Helli, I’m Dan, and I’ve spent a lot of time exploring and working with various business tools. Over the years, I’ve self-taught myself how to navigate the overwhelming amount of information out there about AI and its potential for small businesses. One thing I’ve noticed is that many small business owners are struggling to cut through the noise and figure out how AI can actually help their businesses—without needing a tech background or spending a fortune. So, I’m working on a simple, actionable course designed specifically for small businesses. It would cover: Filtering through the hype and picking the right AI tools Practical applications like automating social media, customer service, or invoicing Using data to make better decisions Balancing automation with the human touch The idea is to make it straightforward and practical, showing real tools in action that you can implement right away. Would you find value in a course like this? If so, what would you want to learn, and what price point feels reasonable for such content? Thanks for your input—I’d love to make something that’s genuinely helpful for the community!

Do You Believe AI Will Change the Game for Small Businesses?

Hey, folks! I operate a small business specializing in preparing dancers for competitions. As our business has grown recently, managing orders and client communications has become increasingly challenging. Initially, we considered hiring a social manager to handle these tasks manually. However, we opted for a more innovative approach. We set up an AI chatbot to automatically gather all information from our clients regarding the services they want to receive and send it to our management system. This automation was extremely convenient for us. I'm curious to hear about your experiences with such tools. Have you already integrated them, and are they useful to you? I know such tools are commonly used in customer support, but have you explored their usefulness in other areas?

Title: Seeking Feedback: What Would an All-in-One AI Automation Platform Do for You?

Hey everyone, I'm exploring an idea to build a unified AI platform that automates core business operations—think customer support, CRM, inventory management, HR, finance, and more—all in one place. Many of us have experienced the frustration of juggling multiple tools that don’t talk to each other, leading to wasted time and inefficiencies. I’d love to hear your thoughts: What are your biggest pain points with your current automation tools? Which processes would you most want to see streamlined or integrated? What features or solutions do you think could make a single, unified platform work for you? Your real-world experiences and ideas will be invaluable in shaping this concept. Thanks for sharing your insights!

AI for small business

Hello fellow small business owners, I'm curious to learn how you are incorporating artificial intelligence (AI) into your business to improve efficiency and productivity. With the rapid advancements in AI technology, I believe there are numerous opportunities for small businesses to leverage these tools to streamline operations and gain a competitive edge. I would love to hear your experiences and insights on the following: What specific AI tools or platforms are you currently using in your business? How have these AI solutions helped you streamline your workflows, reduce costs, or improve customer experience? Are there any particular areas of your business where you have found AI to be especially beneficial (e.g., marketing, customer service, inventory management)? Did you face any challenges or obstacles when implementing AI in your business, and how did you overcome them? Based on your experience, what advice would you give to other small business owners who are considering integrating AI into their operations? Thank you in advance for sharing your valuable insights. I believe this discussion will be beneficial for all small business owners looking to harness the power of AI to grow and succeed in today's competitive landscape.

Is AI a Game-Changer for Small Businesses or Just Another Hype?

Big companies are going all-in on AI, but is it actually useful for small businesses? From automated marketing to customer service chatbots, AI tools promise to save time and boost sales—but do they really? Have you used AI in your business? Was it a win or a waste of time?

Would You Pay for a Simple Course on How Small Businesses Can Integrate AI Without the Noise?

Helli, I’m Dan, and I’ve spent a lot of time exploring and working with various business tools. Over the years, I’ve self-taught myself how to navigate the overwhelming amount of information out there about AI and its potential for small businesses. One thing I’ve noticed is that many small business owners are struggling to cut through the noise and figure out how AI can actually help their businesses—without needing a tech background or spending a fortune. So, I’m working on a simple, actionable course designed specifically for small businesses. It would cover: Filtering through the hype and picking the right AI tools Practical applications like automating social media, customer service, or invoicing Using data to make better decisions Balancing automation with the human touch The idea is to make it straightforward and practical, showing real tools in action that you can implement right away. Would you find value in a course like this? If so, what would you want to learn, and what price point feels reasonable for such content? Thanks for your input—I’d love to make something that’s genuinely helpful for the community!

Is AI a Game-Changer for Small Businesses or Just Another Hype?

Big companies are going all-in on AI, but is it actually useful for small businesses? From automated marketing to customer service chatbots, AI tools promise to save time and boost sales—but do they really? Have you used AI in your business? Was it a win or a waste of time?

What I learn from my $200 MRR App I built 4 months ago?

4 month ago, I am just a 10-years experienced product manager without any software development experience. I have an $3K/month job, but I am so tired, I don’t like my life, don’t like my boss, don’t like my daily work, that make me feeling I already died however I am still living. I yearn for freedom and want to live each day the way I want to. So I quit my job, and become a Indie developer to build my own business, my own app, even my own life. I am so grateful for this time and experience, now my app reach $200 MRR, still very little compared to my previous salary, but I never regret. I have learned lots of things from this time and experience, more than I had in last 10 years. Here is the time-line of my App: \- Sep 2023: Launch first version to iOS App store \- Oct 2023: Release in-app-purchase features and have first subscriber, the revenue in October is $154 \- Nov 2023: Change from subscription to pay per use, and I did lots of marketing jobs in November, however, the revenue reduced to only $40. \- Dec 2023: Change back to subscription, and stop some invalid marketing jobs, only keep the ones that actually work. I almost did nothing in December, and the revenue come to $243. During this process, I have learned lots of things, there are some of them that I think could help you as well. Web or App My App is an iOS app that only can running on Apple’s device such like iPhone/iPad or Mac with Apple silicon. Many people ask me why my product is an iOS app not a website, because they don’t have any Apple device. It's true that promoting an app is much harder than promoting a website. However I am now very glad I made an App and not a website! If I make a website, I don't think it's possible to make $100 in the first month. My App is about keyword research, to help people find some ideas from search keyword, because every keyword people searched in Google are representing a real need of them, also can be used in SEO field. However there are a lot of website tools about keyword research, some of them are famous like Ahrefs, SEMrush… I have no intention of competing with them. Actually I don’t have any chance. While in app store, there are little apps about keyword research, each of them have terrible data and user experience, that means if my app has better data and experience that could be my chance. In fact, the App store brings me 20 organic installs a day that Google would never have been able to bring me if I had a website, at least for the first few months. Furthermore, Apple nearly did everything for developer, I don’t need to care about user login, payment and so on, Apple did everything, I just need to call their API, that save lots of time, if I build a website, I need to implement login and payment by myself, that would add some extra work. Not to mention I'd need to buy servers and domains, that would cost me a lot of money. Although Apple will take 30% of the revenue, I can live with that in the early stages because the most important thing for me is to get the product to market as soon as possible. Actually thought Apple’s SMB program, the take rate is 15% now. So Web or App is not important in the early stage, time is important, if people need my product, it's easy to make a website one. More Users or More Valuable Users In November, I notice some users would like use my app, and they were meet paywall, but they never subscribe. I provided 7 day free trail, but it seem that they don’t like it. So I decide to change subscription to pay per use. Because as a user, I don’t like subscription as well, pay per use seem like more friendly. So I change from subscription to pay per use. People can afford $9.99 to subscribe monthly for unlimited use or pay $1.99 for each data they want(First purchase is $0.99 then $1.99). I was expecting more user to pay, but it was the complete opposite! Some users who would have paid a higher subscription fee are switching to a lower priced single payment. Users are encountering paywalls more often, and each time they need to make a decision about whether or not to pay, which increases the probability that they will abandon payment. This resulted in a 75% decrease in revenue in November. In fact, the mostly of my revenue comes from a handful of long-cycle subscribers, such as annual subscription. \\Few bring in most of the revenue,\\ that is the most important thing I learned. You don't need a lot of customers, you just need more valuable ones. That's why it's only right to design a mechanism to filter out high-value customers and focus on them, all the things you want do is just let more people into the filter, and from that point of view, subscription with free trial period is the best way, even if most people don't like it. The rule of 20/80 will always be there. The most important thing is always focus on the 20 percent things and people. Effort does not always guarantee rewards. Unless one engages in deep thinking, or most efforts are invalid. I have been working very hard to promote my product for a period of time. It’s about in November. I did a lot of job, such as write script to send message to my potential clients on Fiverr, post and write comments on others post on Reddit, find related questions and answer them on Quora, post and comments on Twitte, etc. During that period, I was exhausted every day, but the outcome did not meet my expectations. There is only little growth on App installation, even less revenue than before. That make me frustrated. I finally realized that If I need to put in a tremendous amount of effort just to make a little progress, there is must something wrong. So I stop 80% of promote work I have ever did, only keep app store search ad, which will bring a installation with less than $0.5 cost. Then I dive into long time and deeply thinking, I spent more time on reading books, investigate other product with great MRR, watch interviews with people who are already living the kind of life I aspire to live, for example, u/levelsio. These things have given me great inspiration, and my life has become easier. It seems that the life I anticipated when I resigned is getting closer. I also have a clearer understanding of my app. Meanwhile, MRR has been growing. This experience let me learn that effort does not always guarantee results. Many times, our efforts are just wishful thinking, they are invalid, do the right thing after deeply thinking is more important. What Next? My goal is reach $3K MRR, as same as my job payment, I will never stop to building things, and I will keep my currently lifestyle. I still don't know how to get more people to use my app, but levelsio's interviews give me some inspiration that I can verified something by manually instead of build a software. I plan to launch a trend analysis product based on the keyword data provided by my current app. I have always wanted to combine AI to build such a product, but I didn't know how to do it. Now I intend to manually complete it first and start software development once there are paying users. If you are interested to my App, you could try it.

Generative Ai - How long will it last for SMBs?

Like most of the sub here at one point or the other SMB owners like us have started to use generative AI to improve the productivity of our business. As someone who's closely following the developments in AI tools, I've noticed a trend where big companies like Microsoft (Copilot) and Adobe (Firefly) are starting to offer advanced AI capabilities predominantly to their top-tier paying customers. This shift has me worried about the accessibility of these technologies for small businesses and individual entrepreneurs. What are your thoughts on the longevity of generative AI tools for small-scale users? Do you think these powerful tools will become exclusive to those who can afford the premium, leaving the small guys behind? I'm particularly concerned about the possibility of small businesses being priced out of using generative AI, which could have been a game changer for them.

Looking for feedback on small business communities

Hi folks - I'm working on a new company (I've built and sold two developer tools companies), and instead of building some AI tech I want to build small business communities to help SMB owners. Both my parents ran their own small businesses and I spent my youth working behind a register. I'd love to hear about your experiences interacting with your SMB neighbors, online or off - here's a survey link: https://marketstreet.cc/survey \- and once we get enough results I'll post here with any insights.

SMB Owners: Would You Use an AI-Powered Tool to Increase Revenue?

Hey everyone! I'm working on a tool designed to help small business owners optimize revenue using AI. It would provide automated insights for things like forecasting, customer retention, and cross-platform sales optimization without the complexity of enterprise tools. If you’re a small business owner, I’d love to hear your thoughts. Would a tool like this solve a pain point for you? Feel free to share any feedback on features or things you’d like to see. Appreciate any insights!

How are you using AI for your SMB?

Hey fellow small business owners! I'm curious to know how you would use ChatGPT or other AI tools to improve your business and your operations. I recently built a marketing AI tool for small marketing teams and small business owners to create content fast and for a lot of channels (FB, IG, LinkedIn, emails, and etc.) The tool is doing well now and I am curious about how else AI can help SMB folks up level their operations and drive revenue. One particular idea I am exploring is how SMB operators can leverage AI to ramp up their pre-sale process, providing stellar customer success, and nurture existing customers/leads. So I'd love to learn more about how other SMB owners talk to customers! How often do you talk to your customers? What tools are you using? Are you using AI? Thanks a lot folks!!

The Rise of AI: Will It Signal the Demise of LinkedIn Automation as We Know It?

Have you ever received a spammy LinkedIn automation sequence that left a bad taste in your mouth? You're not alone. But what if LinkedIn automation could be used in a way that was actually useful and effective? As a busy small business owner, you don't have time to spend hours on LinkedIn every day, so automation can be a lifesaver. After trying out many LinkedIn automation tools, I realized that the biggest gap in the market was in the area of ultra-personalization. Most tools only offer basic personalization like name, job title, and location tags, but that's not enough to get the attention of busy prospects. That's where AI comes in. Imagine being able to scrape publicly available information like someone's bio, work experience, headline, education, and more, and then use AI to create an ultra-personalized outreach for each individual. This would be a game-changer for LinkedIn marketers. That's why I have built an online tool that does just that. With this tool, you'll be able to create highly personalized outreach messages that are customized for each person you're targeting. And, of course, it will be automated to save you time and effort. So what do you think? Would you be interested in using a tool like this to market your offer on LinkedIn? Let me know in the comments!

I Accidentally Made My Mom Redundant at Her Office Job

At my tech job, AI assistants have boosted productivity so much we’ve almost stopped hiring. It made me wonder: why isn’t AI used more in small businesses? My mom works in the office of a small local manufacturing company, handling repetitive tasks like inputting orders into their ERP system. After shadowing her for a half day, I built an AI program that automates most of her work. Now she has so much free time, she’s watching Netflix at the office lol I’m thinking of quitting my job and starting my own small local business, offering this as a service to other small businesses in the era, but before I jump on it and quit my current job, I’d love to know if this is a more common issue. My main question are: What’s the most repetitive/time-consuming (computer) tasks you wish you could automate? If possible, could you break it down step by step with a lot of boring details ? 😅 Any hacks or tools you've found to make things easier so far? And maybe what else I should think on that I am missing before quitting my job and starting my own business?

ChatGPT for business automation (incredible new AI)

Hey fellow small business owners! I'm curious to know how you would use ChatGPT or other AI automation tools to improve your business. For those who are not aware, recently a new chat AI was made available to the public by OpenAI, called ChatGPT. (same company that did Dall-E) In a tweet Elon Musk wrote that "ChatGPT is scary good. We are not far from dangerously strong AI." It allows anyone (regardless of tech skill) to simply type commands and it will spit out answers. It can also create actual working code. For example most tasks you do in a browser can be automated with a Python script, but it takes time and coding knowledge to create. With ChatGPT you can just tell it what you want and it will create the code! The impact for businesses is insane: 1) Your entire customer service can be easily replaced by chat bots and probably soon by AI that can speak over the phone (google showcased this in 2018, it already exists). 2) you can have the AI automate your sales process, creating a 1-on-1 conversations, at scale. It can probably also improve and optimize it's closing rate over time as it learns more about your customers. 3) It can be used to train your staff. It's really good for 1on1 instruction and teaching because it will go a the students pace and answer questions (compare that to the usual PowerPoint presentation people use) 4) Since it can create code to automate most tasks a human can do in a browser, you can create for example bots that take customer orders and automatically import them to whatever shipping system you use, send customers tracking info etc. (a lot of this stuff is done with software and APIs, but now anyone can create their own, custom solutions) I feel like we hit an inflection point in 2022 with AI and now we are beginning to see some really useful stuff coming out. Am I crazy or are we about to see a massive shift in how we do things?

Is AI a Game-Changer for Small Businesses or Just Another Hype?

Big companies are going all-in on AI, but is it actually useful for small businesses? From automated marketing to customer service chatbots, AI tools promise to save time and boost sales—but do they really? Have you used AI in your business? Was it a win or a waste of time?

Using AI to automate business tasks

I’m developing a product that enables non-programmers to use AI to automate their daily tasks (or use it to do things they currently cannot do). I believe that enabling AI technologies for everyone should be quite helpful and I am looking for some specific use-cases so I can focus on some real pain-points that will help folks out. I’d be happy to hear about some tedious tasks or other things you’d love to be able to automate in your work but are lacking the tools for

Heeelp - How are you using AI and automations to actually benefit you?

Hey fellow small business owners! 👋 I have been trying to use Ai and automations to streamline my every day business tasks, but sometimes it feels like setting things up is more complicated and time consuming than the actual benefit. So here is my question - what AI tools and automations are really working for your small businesses. What tools do you swear by?How have they helped you save time or money?

SMB Owners: Would You Use an AI-Powered Tool to Increase Revenue?

Hey everyone! I'm working on a tool designed to help small business owners optimize revenue using AI. It would provide automated insights for things like forecasting, customer retention, and cross-platform sales optimization without the complexity of enterprise tools. If you’re a small business owner, I’d love to hear your thoughts. Would a tool like this solve a pain point for you? Feel free to share any feedback on features or things you’d like to see. Appreciate any insights!

Title: Seeking Feedback: What Would an All-in-One AI Automation Platform Do for You?

Hey everyone, I'm exploring an idea to build a unified AI platform that automates core business operations—think customer support, CRM, inventory management, HR, finance, and more—all in one place. Many of us have experienced the frustration of juggling multiple tools that don’t talk to each other, leading to wasted time and inefficiencies. I’d love to hear your thoughts: What are your biggest pain points with your current automation tools? Which processes would you most want to see streamlined or integrated? What features or solutions do you think could make a single, unified platform work for you? Your real-world experiences and ideas will be invaluable in shaping this concept. Thanks for sharing your insights!

Do you use automation for lead communication? Thoughts on using AI?

Hey all! wanted to hear if people are automating some of their lead communication- things like automated SMS campaigns, using tools to automate Yelp responses, etc! If you are using automation, or would like to- what sort of customer communications would you most want to automate? Would it be inbound lead conversations, outbound to potential leads, reminder texts to old customers? (full transparency I'm working on a tool to both automate lead communications/FAQs and meeting bookings for my own leads, and for other businesses- so I'm looking to get some insights from other businesses🙏)

Free No code AI to learn on

Does anyone here have experience using no code AI models that are actually useful and versatile? And cheap or free... I want to learn AI without coding. I don't plan on being an AI engineer. I just want to use it in everyday life. I won't sit down and learn to code python, and then learn AI theory, and then learn statistics, and then experiment with all the tools, and then learn experiment with all the algorithms. It ain't gonna happen charlie.

Starting with Deep Learning in 2025 - Suggestion

I'm aware this has been asked many times here. so I'm not here to ask for a general advice - I've done some homework. My questions is - what do you think about this curriculum I put together (research + GPT)? Context: \- I'm a product manger with technical background and want to get back to a more technical depth. \- BSc in stats, familiar with all basic ML concepts, some maths (linear algebra etc), python. Basically, I got the basics covered a while ago so I'm looking to go back into the basics and I can learn and relearn anything I might need to with the internet. My focus is on getting hands on feel on where AI and deep learning is at in 2025, and understand the "under the hood" of key models used and LLMs specifically. Veterans - whats missing? what's redundant? Thanks so much! 🙏🏻 PS - hoping others will find this useful, you very well might too! |Week/Day|Goals|Resource|Activity| |:-|:-|:-|:-| |Week 1|Foundations of AI and Deep Learning||| |Day 1-2|Learn AI terminology and applications|DeepLearning.AI's "AI for Everyone"|Complete Module 1. Understand basic AI concepts and its applications.| |Day 3-5|Explore deep learning fundamentals|Fast.ai's Practical Deep Learning for Coders (2024)|Watch first 2 lessons. Code an image classifier as your first DL project.| |Day 6-7|Familiarize with ML/LLM terminology|Hugging Face Machine Learning Glossary|Study glossary terms and review foundational ML/LLM concepts.| |Week 2|Practical Deep Learning||| |Day 8-10|Build with PyTorch basics|PyTorch Beginner Tutorials|Complete the 60-minute blitz and create a simple neural network.| |Day 11-12|Explore more projects|Fast.ai Lesson 3|Implement a project such as text classification or tabular data analysis.| |Day 13-14|Fine-tune pre-trained models|Hugging Face Tutorials|Learn and apply fine-tuning techniques for a pre-trained model on a simple dataset.| |Week 3|Understanding LLMs||| |Day 15-17|Learn GPT architecture basics|OpenAI Documentation|Explore GPT architecture and experiment with OpenAI API Playground.| |Day 18-19|Understand tokenization and transformers|Hugging Face NLP Course|Complete the tokenization and transformers sections of the course.| |Day 20-21|Build LLM-based projects|TensorFlow NLP Tutorials|Create a text generator or summarizer using LLM techniques.| |Week 4|Advanced Concepts and Applications||| |Day 22-24|Review cutting-edge LLM research|Stanford's CRFM|Read recent LLM-related research and discuss its product management implications.| |Day 25-27|Apply knowledge to real-world projects|Kaggle|Select a dataset and build an NLP project using Hugging Face tools.| |Day 28-30|Explore advanced API use cases|OpenAI Cookbook and Forums|Experiment with advanced OpenAI API scenarios and engage in discussions to solidify knowledge.|

[Help Needed] How to tackle AI for DNS Security in a Hackathon for Beginner.

Hi everyone! I've been selected to participate in an AI and Cybersecurity Hackathon, and the group I'm in focuses on AI for DNS Security. Our goal is to implement AI algorithms to detect anomalies and enhance DNS security. Here’s the catch: I have no prior background in cybersecurity, and I’m also a beginner in applying AI to real-world security problems. I’d really appreciate some guidance from this amazing community on how to approach this challenge. A bit more about the project: Objective: Detect anomalies in DNS traffic (e.g., malicious requests, tunneling, etc.). AI tools: We’re free to choose algorithms, but I’m unsure where to start—supervised vs. unsupervised learning? My skillset: Decent grasp of Python (Pandas, Scikit-learn, etc.) and basic ML concepts. No practical experience in network security or analyzing DNS traffic. What I’m looking for: Datasets: Any recommendations for open-source DNS datasets or synthetic data creation methods? AI methods: Which models work best for anomaly detection in DNS logs? Are there any relevant GitHub projects? Learning resources: Beginner-friendly material on DNS security and the application of AI in this domain. Hackathon tips: How can I make the most of this opportunity and contribute effectively to my team? Bonus question: If you’ve participated in similar hackathons, what strategies helped you balance learning and execution within a short timeframe? Thank you so much in advance for any advice, resources, or personal experiences you can share! I’ll make sure to share our project results and lessons learned after the hackathon.

How to implement OpenAI model improvement using user interactions?

Hi, I'm a developer using OpenAI, and I want to improve my fine-tuned model by using user prompts, model responses, and user feedback. I'm new to AI and looking for advice on: What's the best way to store this interaction data? How can I use this stored data to improve the model? Are there any platforms or services that can automate this process? As someone relatively new to AI, I'd really appreciate any insights, recommendations for tools, or best practices you can share. Thanks!

Month of August in AI

🔍 Inside this Issue: 🤖 Latest Breakthroughs: This month it’s all about Agents, LangChain RAG, and LLMs evaluation challenges.* 🌐 AI Monthly News: Discover how these stories are revolutionizing industries and impacting everyday life: EU AI Act, California’s Controversial SB1047 AI regulation act, Drama at OpenAI, and possible funding at OpenAI by Nvidia and Apple.* 📚 Editor’s Special: This covers the interesting talks, lectures, and articles we came across recently. Follow me on Twitter and LinkedIn at RealAIGuys and AIGuysEditor to get insight on new AI developments. Please don't forget to subscribe to our Newsletter: https://medium.com/aiguys/newsletter Latest Breakthroughs Are Agents just simple rules? Are Agents just enhanced reasoning? The answer is yes and no. Yes, in the sense that agents have simple rules and can sometimes enhance reasoning capabilities compared to a single prompt. But No in the sense that agents can have a much more diverse functionality like using specific tools, summarizing, or even following a particular style. In this blog, we look into how to set up these agents in a hierarchal manner just like running a small team of Authors, researchers, and supervisors. How To Build Hierarchical Multi-Agent Systems? TextGrad. It is a powerful framework performing automatic “differentiation” via text. It backpropagates textual feedback provided by LLMs to improve individual components of a compound AI system. In this framework, LLMs provide rich, general, natural language suggestions to optimize variables in computation graphs, ranging from code snippets to molecular structures. TextGrad showed effectiveness and generality across various applications, from question-answering and molecule optimization to radiotherapy treatment planning. TextGrad: Improving Prompting Using AutoGrad The addition of RAG to LLMs was an excellent idea. It helped the LLMs to become more specific and individualized. Adding new components to any system leads to more interactions and its own sets of problems. Adding RAG to LLMs leads to several problems such as how to retrieve the best content, what type of prompt to write, and many more. In this blog, we are going to combine the LangChain RAG with DSPy. We deep dive into how to evaluate the RAG pipeline quantitatively using RAGAs and how to create a system where instead of manually tweaking prompts, we let the system figure out the best prompt. How To Build LangChain RAG With DSPy? As the field of natural language processing (NLP) advances, the evaluation of large language models (LLMs) like GPT-4 becomes increasingly important and complex. Traditional metrics such as accuracy are often inadequate for assessing these models’ performance because they fail to capture the nuances of human language. In this article, we will explore why evaluating LLMs is challenging and discuss effective methods like BLEU and ROUGE for a more comprehensive evaluation. The Challenges of Evaluating Large Language Models AI Monthly News AI Act enters into force On 1 August 2024, the European Artificial Intelligence Act (AI Act) enters into force. The Act aims to foster responsible artificial intelligence development and deployment in the EU. The AI Act introduces a uniform framework across all EU countries, based on a forward-looking definition of AI and a risk-based approach: Minimal risk: most AI systems such as spam filters and AI-enabled video games face no obligation under the AI Act, but companies can voluntarily adopt additional codes of conduct. Specific transparency risk: systems like chatbots must clearly inform users that they are interacting with a machine, while certain AI-generated content must be labelled as such. High risk: high-risk AI systems such as AI-based medical software or AI systems used for recruitment must comply with strict requirements, including risk-mitigation systems, high-quality of data sets, clear user information, human oversight, etc. Unacceptable risk: for example, AI systems that allow “social scoring” by governments or companies are considered a clear threat to people’s fundamental rights and are therefore banned. EU announcement: Click here https://preview.redd.it/nwyzfzgm4cmd1.png?width=828&format=png&auto=webp&s=c873db37ca0dadd5b510bea70ac9f633b96aaea4 California AI bill SB-1047 sparks fierce debate, Senator likens it to ‘Jets vs. Sharks’ feud Key Aspects of SB-1047: Regulation Scope: Targets “frontier” AI models, defined by their immense computational training requirements (over 10²⁶ operations) or significant financial investment (>$100 million). Compliance Requirements: Developers must implement safety protocols, including the ability to immediately shut down, cybersecurity measures, and risk assessments, before model deployment. Whistleblower Protections: Encourages reporting of non-compliance or risks by offering protection against retaliation. Safety Incident Reporting: Mandates reporting AI safety incidents within 72 hours to a newly established Frontier Model Division. Certification: Developers need to certify compliance, potentially under penalty of perjury in earlier drafts, though amendments might have altered this. Pros: Safety First: Prioritizes the prevention of catastrophic harms by enforcing rigorous safety standards, potentially safeguarding against AI misuse or malfunction. Incentivizes Responsible Development: By setting high standards for AI model training, the company encourages developers to think critically about the implications of their creations. Public Trust: Enhances public confidence in AI by ensuring transparency and accountability in the development process. Cons: Innovation Stagnation: Critics argue it might stifle innovation, especially in open-source AI, due to the high costs and regulatory burdens of compliance. Ambiguity: Some definitions and requirements might be too specific or broad, leading to legal challenges or unintended consequences. Global Competitiveness: There’s concern that such regulations could push AI development outside California or the U.S., benefiting other nations without similar restrictions. Implementation Challenges: The practicalities of enforcing such regulations, especially the “positive safety determination,” could be complex and contentious. News Article: Click here Open Letter: Click here https://preview.redd.it/ib96d7nk4cmd1.png?width=828&format=png&auto=webp&s=0ed5913b5dae72e203c8592393e469d9130ed689 MORE OpenAI drama OpenAI co-founder John Schulman has left the company to join rival AI startup Anthropic, while OpenAI president and co-founder Greg Brockman is taking an extended leave until the end of the year. Schulman, who played a key role in creating the AI-powered chatbot platform ChatGPT and led OpenAI’s alignment science efforts, stated his move was driven by a desire to focus more on AI alignment and hands-on technical work. Peter Deng, a product manager who joined OpenAI last year, has also left the company. With these departures, only three of OpenAI’s original 11 founders remain: CEO Sam Altman, Brockman, and Wojciech Zaremba, lead of language and code generation. News Article: Click here https://preview.redd.it/0vdjc18j4cmd1.png?width=828&format=png&auto=webp&s=e9de604c26aed3e47b50df3bdf114ef61f967080 Apple and Nvidia may invest in OpenAI Apple, which is planning to integrate ChatGPT into iOS, is in talks to invest. Soon after, Bloomberg also reported that Apple is in talks but added that Nvidia “has discussed” joining the funding round as well. The round is reportedly being led by Thrive Capital and would value OpenAI at more than $100 billion. News Article: Click here https://preview.redd.it/ude6jguh4cmd1.png?width=828&format=png&auto=webp&s=3603cbca0dbb1be3e6d0efcf06c3a698428bbdd6 Editor’s Special The AI Bubble: Will It Burst, and What Comes After?: Click here Eric Schmidt Full Controversial Interview on AI Revolution (Former Google CEO): Click here AI isn’t gonna keep improving Click here General Intelligence: Define it, measure it, build it: Click here

GPT Weekly - 19the June Edition - OpenAI's function calling, Meta's free LLM, EU Regulation and more.

This is a recap covering the major news from last week. 🔥Top 3 news - OpenAI’s updates, Meta’s upcoming free LLM and EU Regulation 🗞️Interesting reads include PSA about protecting your keys, The GPT ouroboros, Reddit - OpenAI’s moat, and more.. 🧑‍🎓Learning includes a Step-by-step guide from a non-technical founder who launched his MVP, Chatbot for your Gdrive and more 🔥Top 3 AI news in the past week OpenAI: New Pricing, Models, & Functions OpenAI has been on a roll. Last week we saw the release of OpenAI best practice on using GPT. This week we saw some amazing updates. Three major buckets were: First, the price decreases for both embeddings and GPT-3.5 tokens. Second, new models for gpt-4 and gpt-3.5. A new longer context model for gpt-3.5. Third, a new function calling capability. Why is it important? Previously, the output from OpenAI was all text. So, calling an external API from GPT was quite difficult. You had to parse the text data and things were often incorrect. Langchain created the Agents and Tools feature to tackle this problem. It was still unreliable and prone to issues. Now you get native support to generate a fixed format output. You can use the output to generate functional calls and also pass functions which need to be called. For example, if your app has multiple API endpoints then you can use GPT to generate the API calls with parameters. You can also pass the endpoints as function calls to ensure the correct function is executed. This functionality can further be used to generate structured data (JSON) out of GPT. So, you can generate data from GPT and load it into your backend. What’s next? This functionality allows turning natural language responses into structured data. This can be used to create “intelligent” backends using LLMs. We might see implementations in no-code tools to allow more robust and natural-language tools for non-technical folks. The structured data process goes both ways. You can also feed structured data into GPT for better responses. This feature also has its share of issues. Function calling suffers from the same prompt injection issues. Malicious actors can pass malicious code in function or the responses. For example, creation of queries using functions might contain malicious code to delete data. Without proper user validation this code will be executed automatically and delete data. So, using LLM as the back-end layer needs proper security implementation. Meta's LLM: Commercial Use Ahead Llama has been a boon for the open source community. Many of the open source models rely on Llama. The issue is that Llama is research-only and cannot be used commercially. So, no one can use it to build any product. Meta is now working on the next version of the model. This model will be available for commercial use. This is in stark contrast to both OpenAI and Google. Both safe-guarde their models and make it available through API. Why is it important? Certain industries cannot use LLM APIs because of strict restrictions on data privacy. These companies would want to run their own instance of a foundational model. A commercially available foundational model is also going to help people who want to keep their “API call” costs next to 0. A commercially available free-for-all model will also help push the open source community further. Just like Llama. What’s next? Sam Altman has said OpenAI didn’t release GPT-3 as open-source because they didn’t think people would be able to run it. Now OpenAI is working on an open-source model. This is going to be weaker than GPT-4. Let the battle of LLMs begin. EU's Proposed Legislation and Its Impact on AI Usage The EU parliament voted to move ahead with the E.U. AI Act. This act aims to ensure consumer protection against the dangers of AI. Why is it important? OpenAI and Sam Altman want regulations for models. They have proposed a IAEA-type of agency to stop the proliferation of LLM models. As per OpenAI, all models should be regulated and monitored. The suggestion of a license based regulation has led to significant backlash. Many people have called it “regulatory capture” - with the aim of shutting down competing LLMs. Licensing based regulations might not really be effective. The EU is approaching regulation from a different angle. It doesn’t focus on how models are developed. Rather focuses on how AI will/can be used. They have broken down use cases into 4 categories - unacceptable (prohibited), high, medium and low risk. For example, Building a Pre-Crime software,on%20crimes%20not%20yet%20committed.) to predict crimes? Building a Social credit system? Unacceptable. Using tools to influence elections or recommendation algorithms? High (Highly regulated). Using generative AI tools to create text or images on news sites? Medium (Add label that the content is AI generated) AI providers also need to disclose their training source. To me this sounds like good legislation. What do you guys think? But, OpenAI has warned that EU regulations might force them to pull out completely. What’s next? The disclosure requirements might help various publishing companies. AI and media companies are in talks to pay for training data. Google has been leading the charge. Additionally, OpenAI and Deepmind will open their models for safety and research purposes to the UK government. 🗞️10 AI news highlights and interesting reads PSA: If you are using Repl to write code, you might want to check your OpenAI API keys. If you have left them embedded then people can pirate and steal the keys. LLMs rely on human annotation or human feedback to learn. And one way to generate human annotation is crowdsourcing. But what if the crowdsource human annotators use LLMs? Research shows 33-46% workers used LLMs. So, basically we go from Human -> AI -> Human -> AI. The AI ouroboros. Researchers also say generated data to train models might cause serious issue. All the talks about moats \- Reddit might be OpenAI’s \future\ moat. Given the amount of complaints about how Google search experience has deteriorated during the blackout, this might be true? Doctors are using ChatGPT but not to diagnose.Rather to be more empathetic. We discussed this just a month ago. And guess where the data for this study came from? Reddit AskDocs. Moat FTW?! Beatles to make a comeback…using Generative AI. SnapFusion - Text to Image diffusion on mobile phones. Large context lengths are important for better GPT experience. The secret sauce for 100k context length. There is a lot of bad AI research out there. Some border on snake oil. Most AI “research” should be double checked and challenged. A new research on huggingface said that GPT-4 can ace MIT curriculum. Now someone is replicating the results and say that GPT-4 can’t beat MIT. Are we seeing peak AI? Especially when people from Deepmind and Meta are involved? Mistral AI raised $113 million in seed round with no product. Some might say this funding is for the team and the team is really solid. The issue though is whether the valuation is justified when OpenAI and Google already have a head start. The AI Hype Wall of Shame. \- Collection of articles which mislead people about AI in various aspects. 🧑‍🎓3 Learning Resources Building and Launching a company using GPT-4 with prompts. (The author didn’t know how to code but created and launched the MVP in a month). Chatbot for your Gdrive - https://www.haihai.ai/gpt-gdrive/ Building ChatGPT plugin using Supabase - https://supabase.com/blog/building-chatgpt-plugins-template That’s it folks. Thank you for reading and have a great week ahead. If you are interested in a focused weekly recap delivered to your inbox on Mondays you can subscribe here. It is FREE!

Study Plan for Learning Data Science Over the Next 12 Months [D]

In this thread, I address a study plan for 2021. In case you're interested, I wrote a whole article about this topic: Study Plan for Learning Data Science Over the Next 12 Months Let me know your thoughts on this. &#x200B; https://preview.redd.it/emg20nzhet661.png?width=1170&format=png&auto=webp&s=cf09e4dc5e82ba2fd7b57c706ba2873be57fe8de We are ending 2020 and it is time to make plans for next year, and one of the most important plans and questions we must ask is what do we want to study?, what do we want to enhance?, what changes do we want to make?, and what is the direction we are going to take (or continue) in our professional careers?. Many of you will be starting on the road to becoming a data scientist, in fact you may be evaluating it, since you have heard a lot about it, but you have some doubts, for example about the amount of job offers that may exist in this area, doubts about the technology itself, and about the path you should follow, considering the wide range of options to learn. I’m a believer that we should learn from various sources, from various mentors, and from various formats. By sources I mean the various virtual platforms and face-to-face options that exist to study. By mentors I mean that it is always a good idea to learn from different points of view and learning from different teachers/mentors, and by formats I mean the choices between books, videos, classes, and other formats where the information is contained. When we extract information from all these sources we reinforce the knowledge learned, but we always need a guide, and this post aims to give you some practical insights and strategies in this regard. To decide on sources, mentors and formats it is up to you to choose. It depends on your preferences and ease of learning: for example, some people are better at learning from books, while others prefer to learn from videos. Some prefer to study on platforms that are practical (following online code), and others prefer traditional platforms: like those at universities (Master’s Degree, PHDs or MOOCs). Others prefer to pay for quality content, while others prefer to look only for free material. That’s why I won’t give a specific recommendation in this post, but I’ll give you the whole picture: a study plan. To start you should consider the time you’ll spend studying and the depth of learning you want to achieve, because if you find yourself without a job you could be available full time to study, which is a huge advantage. On the other hand, if you are working, you’ll have less time and you’ll have to discipline yourself to be able to have the time available in the evenings, mornings or weekends. Ultimately, the important thing is to meet the goal of learning and perhaps dedicating your career to this exciting area! We will divide the year into quarters as follows First Quarter: Learning the Basics Second Quarter: Upgrading the Level: Intermediate Knowledge Third Quarter: A Real World Project — A Full-stack Project Fourth Quarter: Seeking Opportunities While Maintaining Practice First Quarter: Learning the Basics &#x200B; https://preview.redd.it/u7t9bthket661.png?width=998&format=png&auto=webp&s=4ad29cb43618e7acf793259243aa5a60a8535f0a If you want to be more rigorous you can have start and end dates for this period of study of the bases. It could be something like: From January 1 to March 30, 2021 as deadline. During this period you will study the following: A programming language that you can apply to data science: Python or R. We recommend Python due to the simple fact that approximately 80% of data science job offers ask for knowledge in Python. That same percentage is maintained with respect to the real projects you will find implemented in production. And we add the fact that Python is multipurpose, so you won’t “waste” your time if at some point you decide to focus on web development, for example, or desktop development. This would be the first topic to study in the first months of the year. Familiarize yourself with statistics and mathematics. There is a big debate in the data science community about whether we need this foundation or not. I will write a post later on about this, but the reality is that you DO need it, but ONLY the basics (at least in the beginning). And I want to clarify this point before continuing. We could say that data science is divided in two big fields: Research on one side and putting Machine Learning algorithms into production on the other side. If you later decide to focus on Research then you are going to need mathematics and statistics in depth (very in depth). If you are going to go for the practical part, the libraries will help you deal with most of it, under the hood. It should be noted that most job offers are in the practical part. For both cases, and in this first stage you will only need the basics of: Statistics (with Python and NumPy) Descriptive statistics Inferential Statistics Hypothesis testing Probability Mathematics (with Python and NumPy) Linear Algebra (For example: SVD) Multivariate Calculus Calculus (For example: gradient descent) Note: We recommend that you study Python first before seeing statistics and mathematics, because the challenge is to implement these statistical and mathematical bases with Python. Don’t look for theoretical tutorials that show only slides or statistical and/or mathematical examples in Excel/Matlab/Octave/SAS and other different to Python or R, it gets very boring and impractical! You should choose a course, program or book that teaches these concepts in a practical way and using Python. Remember that Python is what we finally use, so you need to choose well. This advice is key so you don’t give up on this part, as it will be the most dense and difficult. If you have these basics in the first three months, you will be ready to make a leap in your learning for the next three months. Second Quarter: Upgrading the Level: Intermediate Knowledge &#x200B; https://preview.redd.it/y1y55vynet661.png?width=669&format=png&auto=webp&s=bd3e12bb112943025c39a8975faf4d64514df275 If you want to be more rigorous you can have start and end dates for this period of study at the intermediate level. It could be something like: From April 1 to June 30, 2021 as deadline. Now that you have a good foundation in programming, statistics and mathematics, it is time to move forward and learn about the great advantages that Python has for applying data analysis. For this stage you will be focused on: Data science Python stack Python has the following libraries that you should study, know and practice at this stage Pandas: for working with tabular data and make in-depth analysis Matplotlib and Seaborn: for data visualization Pandas is the in-facto library for data analysis, it is one of the most important (if not the most important) and powerful tools you should know and master during your career as a data scientist. Pandas will make it much easier for you to manipulate, cleanse and organize your data. Feature Engineering Many times people don’t go deep into Feature Engineering, but if you want to have Machine Learning models that make good predictions and improve your scores, spending some time on this subject is invaluable! Feature engineering is the process of using domain knowledge to extract features from raw data using data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. To achieve the goal of good feature engineering you must know the different techniques that exist, so it is a good idea to at least study the main ones. Basic Models of Machine Learning At the end of this stage you will start with the study of Machine Learning. This is perhaps the most awaited moment! This is where you start to learn about the different algorithms you can use, which particular problems you can solve and how you can apply them in real life. The Python library we recommend you to start experimenting with ML is: scikit-learn. However it is a good idea that you can find tutorials where they explain the implementation of the algorithms (at least the simplest ones) from scratch with Python, since the library could be a “Black Box” and you might not understand what is happening under the hood. If you learn how to implement them with Python, you can have a more solid foundation. If you implement the algorithms with Python (without a library), you will put into practice everything seen in the statistics, mathematics and Pandas part. These are some recommendations of the algorithms that you should at least know in this initial stage Supervised learning Simple Linear Regression Multiple Linear Regression K-nearest neighbors (KNN) Logistic Regression Decision Trees Random Forest Unsupervised Learning K-Means PCA Bonus: if you have the time and you are within the time ranges, you can study these others Gradient Boosting Algorithms GBM XGBoost LightGBM CatBoost Note: do not spend more than the 3 months stipulated for this stage. Because you will be falling behind and not complying with the study plan. We all have shortcomings at this stage, it is normal, go ahead and then you can resume some concepts that did not understand in detail. The important thing is to have the basic knowledge and move forward! If at least you succeed to study the mentioned algorithms of supervised and unsupervised learning, you will have a very clear idea of what you will be able to do in the future. So don’t worry about covering everything, remember that it is a process, and ideally you should have some clearly established times so that you don’t get frustrated and feel you are advancing. So far, here comes your “theoretical” study of the basics of data science. Now we’ll continue with the practical part! Third Quarter: A Real World Project — A Full-stack Project &#x200B; https://preview.redd.it/vrn783vqet661.png?width=678&format=png&auto=webp&s=664061b3d33b34979b74b10b9f8a3d0f7b8b99ee If you want to be more rigorous you can have start and end dates for this period of study at the intermediate level. It could be something like: From July 1 to September 30, 2021 as deadline. Now that you have a good foundation in programming, statistics, mathematics, data analysis and machine learning algorithms, it is time to move forward and put into practice all this knowledge. Many of these suggestions may sound out of the box, but believe me they will make a big difference in your career as a data scientist. The first thing is to create your web presence: Create a Github (or GitLab) account, and learn Git*. Being able to manage different versions of your code is important, you should have version control over them, not to mention that having an active Github account is very valuable in demonstrating your true skills. On Github, you can also set up your Jupyter Notebooks and make them public, so you can show off your skills as well. This is mine for example: https://github.com/danielmoralesp Learn the basics of web programming*. The advantage is that you already have Python as a skill, so you can learn Flask to create a simple web page. Or you can use a template engine like Github Pages, Ghost or Wordpress itself and create your online portfolio. Buy a domain with your name*. Something like myname.com, myname.co, myname.dev, etc. This is invaluable so you can have your CV online and update it with your projects. There you can make a big difference, showing your projects, your Jupyter Notebooks and showing that you have the practical skills to execute projects in this area. There are many front-end templates for you to purchase for free or for payment, and give it a more personalized and pleasant look. Don’t use free sub-domains of Wordpress, Github or Wix, it looks very unprofessional, make your own. Here is mine for example: https://www.danielmorales.dev/ Choose a project you are passionate about and create a Machine Learning model around it. The final goal of this third quarter is to create ONE project, that you are passionate about, and that is UNIQUE among others. It turns out that there are many typical projects in the community, such as predicting the Titanic Survivors, or predicting the price of Houses in Boston. Those kinds of projects are good for learning, but not for showing off as your UNIQUE projects. If you are passionate about sports, try predicting the soccer results of your local league. If you are passionate about finance, try predicting your country’s stock market prices. If you are passionate about marketing, try to find someone who has an e-commerce and implement a product recommendation algorithm and upload it to production. If you are passionate about business: make a predictor of the best business ideas for 2021 :) As you can see, you are limited by your passions and your imagination. In fact, those are the two keys for you to do this project: Passion and Imagination. However don’t expect to make money from it, you are in a learning stage, you need that algorithm to be deployed in production, make an API in Flask with it, and explain in your website how you did it and how people can access it. This is the moment to shine, and at the same time it’s the moment of the greatest learning. You will most likely face obstacles, if your algorithm gives 60% of Accuracy after a huge optimization effort, it doesn’t matter, finish the whole process, deploy it to production, try to get a friend or family member to use it, and that will be the goal achieved for this stage: Make a Full-stack Machine Learning project. By full-stack I mean that you did all the following steps: You got the data from somewhere (scrapping, open data or API) You did a data analysis You cleaned and transformed the data You created Machine Learning Models You deployed the best model to production for other people to use. This does not mean that this whole process is what you will always do in your daily job, but it does mean that you will know every part of the pipeline that is needed for a data science project for a company. You will have a unique perspective! Fourth Quarter: Seeking Opportunities While Maintaining Practice &#x200B; https://preview.redd.it/qd0osystet661.png?width=1056&format=png&auto=webp&s=2da456b15985b2793041256f5e45bca99a23b51a If you want to be more rigorous you can have start and end dates for this period of study at the final level. It could be something like: From October 1 to December 31, 2021 as deadline. Now you have theoretical and practical knowledge. You have implemented a model in production. The next step depends on you and your personality. Let’s say you are an entrepreneur, and you have the vision to create something new from something you discovered or saw an opportunity to do business with this discipline, so it’s time to start planning how to do it. If that’s the case, obviously this post won’t cover that process, but you should know what the steps might be (or start figuring them out). But if you are one of those who want to get a job as a data scientist, here is my advice. Getting a job as a data scientist “You’re not going to get a job as fast as you think, if you keep thinking the same way”.Author It turns out that all people who start out as data scientists imagine themselves working for the big companies in their country or region. Or even remote. It turns out that if you aspire to work for a large company like data scientist you will be frustrated by the years of experience they ask for (3 or more years) and the skills they request. Large companies don’t hire Juniors (or very few do), precisely because they are already large companies. They have the financial muscle to demand experience and skills and can pay a commensurate salary (although this is not always the case). The point is that if you focus there you’re going to get frustrated! Here we must return to the following advise: “You need creativity to get a job in data science”. Like everything else in life we have to start at different steps, in this case, from the beginning. Here are the scenarios If you are working in a company and in a non-engineering role you must demonstrate your new skills to the company you are working for*. If you are working in the customer service area, you should apply it to your work, and do for example, detailed analysis of your calls, conversion rates, store data and make predictions about it! If you can have data from your colleagues, you could try to predict their sales! This may sound funny, but it’s about how creatively you can apply data science to your current work and how to show your bosses how valuable it is and EVANGELIZE them about the benefits of implementation. You’ll be noticed and they could certainly create a new data related department or job. And you already have the knowledge and experience. The key word here is Evangelize. Many companies and entrepreneurs are just beginning to see the power of this discipline, and it is your task to nurture that reality. If you are working in an area related to engineering, but that is not data science*. Here the same applies as the previous example, but you have some advantages, and that is that you could access the company’s data, and you could use it for the benefit of the company, making analyses and/or predictions about it, and again EVANGELIZING your bosses your new skills and the benefits of data science. If you are unemployed (or do not want, or do not feel comfortable following the two examples above)*, you can start looking outside, and what I recommend is that you look for technology companies and / or startups where they are just forming the first teams and are paying some salary, or even have options shares of the company. Obviously here the salaries will not be exorbitant, and the working hours could be longer, but remember that you are in the learning and practice stage (just in the first step), so you can not demand too much, you must land your expectations and fit that reality, and stop pretending to be paid $ 10,000 a month at this stage. But, depending of your country $1.000 USD could be something very interesting to start this new career. Remember, you are a Junior at this stage. The conclusion is: don’t waste your time looking at and/or applying to offers from big companies, because you will get frustrated. Be creative, and look for opportunities in smaller or newly created companies. Learning never stops While you are in that process of looking for a job or an opportunity, which could take half of your time (50% looking for opportunities, 50% staying in practice), you have to keep learning, you should advance to concepts such as Deep Learning, Data Engineer or other topics that you feel were left loose from the past stages or focus on the topics that you are passionate about within this group of disciplines in data science. At the same time you can choose a second project, and spend some time running it from end-to-end, and thus increase your portfolio and your experience. If this is the case, try to find a completely different project: if the first one was done with Machine Learning, let this second one be done with Deep learning. If the first one was deployed to a web page, that this second one is deployed to a mobile platform. Remember, creativity is the key! Conclusion We are at an ideal time to plan for 2021, and if this is the path you want to take, start looking for the platforms and media you want to study on. Get to work and don’t miss this opportunity to become a data scientist in 2021! Note: we are building a private community in Slack of data scientist, if you want to join us write to the email: support@datasource.ai I hope you enjoyed this reading! you can follow me on twitter or linkedin Thank you for reading!

Training a custom AI model specifically for logistics documents

In today's fast-paced business landscape, efficient supply chain management is crucial for success. One often overlooked aspect is document processing, which plays a vital role in ensuring seamless operations. 📦🌐 This article provides a step-by-step tutorial on training a custom AI model specifically for logistics documents. It explains the process of creating a custom training dataset, training the model, and integrating it into workflows without any coding expertise required. 🎓📊 🎯 The tutorial also introduces the UBIAI Text Annotation Tool, which simplifies the labeling and training process. It also highlights the AI Builder tool for deploying the trained model into production and includes examples of bill of lading and logistic invoices, demonstrating the effectiveness of the custom AI model. 🛠️💻 🔍 If you're interested in automating data extraction from logistics documents and want to learn more, you can find the full article here: [https://ubiai.tools/intelligent-document-extraction-for-logistics-and-supply-chain/ ] #SupplyChainManagement #DocumentProcessing #LogisticsTech #AIinLogistics #Automation #Efficiency #WorkflowIntegration #UBIAITextAnnotationTool #AIBuilder #DataExtraction #DigitalTransformation #SeamlessOperations #BusinessProductivity #TechTutorial #LogisticsIndustry #SupplyChainOptimization #Innovation #RedditorsUnite

6 principles to data architecture that facilitate innovation

My team and I have been re-building our company's data architecture. In the process of doing so, I got together six key principles to transforming data architectures and thought I would share them, as a strong data architecture is crucial for businesses looking to stay competitive in the digital landscape, as it improves decision-making, time to market, and data security. When executed with efficiency, a resilient data architecture unleashes unparalleled degrees of agility. Principle 1: Agility and flexibility To quickly adjust to market fluctuations, businesses must create adaptable data infrastructures that can effortlessly manage an ever-growing influx of data. To accomplish this objective, we recommend to our clients to implement Enterprise Service Bus, Enterprise Data Warehouse, and Master Data Management integrated together. &#x200B; I believe the best option is this: \- By centralizing communication, ESB reduces the time and effort required to integrate new systems; \- EDW consolidates data from different sources, resulting in a 50% reduction in software implementation time; \- Finally, MDM ensures consistency and accuracy across the organization, leading to better decision-making and streamlined operations. Implementing these solutions can lead to reduced software implementation time, better ROI, and more manageable data architecture. By fostering a culture of collaboration and adopting modern technologies and practices, businesses can prioritize agility and flexibility in their data architecture to increase the pace of innovation. Principle 2: Modularity and reusability Data architecture that fosters modularity and reusability is essential for accelerating innovation within an organization. By breaking data architecture components into smaller, more manageable pieces, businesses can enable different teams to leverage existing architecture components, reducing redundancy and improving overall efficiency. MDM can promote modularity and reusability by creating a central repository for critical business data. This prevents duplication and errors, improving efficiency and decision-making. MDM enables a single source of truth for data, accessible across multiple systems, which promotes integration and scalability. MDM also provides standardized data models, rules, and governance policies that reduce development time, increase quality, and ensure proper management throughout the data’s lifecycle. Another way to achieve modularity in data architecture is through the use of microservices and scripts for Extract, Transform, and Load (ETL) processes. Adopting a structured methodology and framework can ensure these components are well-organized, making it easier for teams to collaborate and maintain the system. Microservices can also contribute to modularity and reusability in data architecture. These small, independent components can be developed, deployed, and scaled independently of one another. By utilizing microservices, organizations can update or replace individual components without affecting the entire system, improving flexibility and adaptability. Principle 3: Data quality and consistency The efficiency of operations depends on data’s quality, so a meticulously crafted data architecture plays a pivotal role in preserving it, empowering enterprises to make well-informed decisions based on credible information. Here are some key factors to consider that will help your company ensure quality: \- Implementing Master Data Management (MDM) – this way, by consolidating, cleansing, and standardizing data from multiple sources, your IT department will be able to create a single, unified view of the most important data entities (customers, products, and suppliers); \- Assigning data stewardship responsibilities to a small team or an individual specialist; \- Considering implementing data validation, data lineage, and data quality metrics; \- By implementing MDM and adopting a minimal data stewardship approach, organizations can maintain high-quality data that drives innovation and growth. Principle 4: Data governance Data governance is a strategic framework that goes beyond ensuring data quality and consistency. It includes ensuring data security, privacy, accessibility, regulatory compliance, and lifecycle management. Here are some key aspects of data governance: \- Implementing robust measures and controls to protect sensitive data from unauthorized access, breaches, and theft. This is only possible through including encryption, access controls, and intrusion detection systems into your company’s IT architecture; \- Adhering to data privacy regulations and guidelines, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA); \- Defining stringent conditions for who has access to specific data assets to maintain control over data and ensure its accessibility only for legitimate purposes. Managing the entire lifecycle of data, from creation and storage to archiving and disposal, including defining policies for data retention, archiving, and deletion in compliance with legal and regulatory requirements. To facilitate effective data governance, organizations can leverage various tools and technologies, such as: \- Data cataloging tools: Solutions like Collibra, Alation, or Informatica Enterprise Data Catalog help organizations discover, understand, and manage their data assets. \- Data lineage tools: Tools like Talend, IBM InfoSphere, or Apache Atlas help track data’s origin, transformation, and usage, providing insights into data quality issues and potential areas for improvement. \- Data quality tools: Solutions like Informatica Data Quality, Trifacta, or SAS Data Quality help organizations maintain high-quality data by identifying and correcting errors, inconsistencies, and inaccuracies. \- Data security and privacy tools: Tools like Varonis, BigID, or Spirion help protect sensitive data and ensure compliance with data privacy regulations. Principle 5: Cloud-first approach A cloud-first approach prioritizes cloud-based solutions over on-premises ones when it comes to data management. Cloud-based data management pros: \- Virtually limitless scalability, so that organizations can grow and adapt to changing data requirements without significant infrastructure investments; \- The pay-as-you-go model of cloud services reduces maintenance costs usually associated with the on-premise choice; \- Greater flexibility for deploying and integrating new technologies and services; \- Cloud can be accessed from anywhere, at any time, turning team collaboration and remote work into a breeze; \- Built-in backup and disaster recovery capabilities, ensuring data safety and minimizing downtime in case of emergencies. Cloud-based data management cons: \- Cloud-first approach raises many data security, privacy, and compliance concerns; \- Transferring large data volumes to and from cloud is often time-consuming and results in increased latency for certain apps; \- Relying on a single cloud provider makes it difficult to switch them or move back to the on-premises option without significant funds and effort. Challenges that organizations that choose a cloud-first approach face: \- Integrating cloud-based systems with on-premises ones can be complex and time-consuming; \- Ensuring data governance and compliance in a multi-cloud or hybrid environment is also another problem reported by my clients. How EDW, ESB, and MDM promote cloud-first approach: A cloud-based EDW centralizes data from multiple sources, enabling a unified view of the organization’s data and simplifying data integration across cloud and on-premises systems. An ESB facilitates communication between disparate cloud and on-premises systems, streamlining data integration and promoting a modular architecture. Cloud-based MDM solutions are used for maintaining data quality and consistency across multiple data sources and environments. Principle 6: Automation and artificial intelligence Incorporating automation tools and AI technologies into data architecture can optimize processes and decision-making. Key Applications: \- Data ingestion and integration: Automation simplifies data schema updates and identifies data quality issues, while AI-assisted development helps create tailored connectors, scripts, and microservices. \- Data quality management: Machine learning algorithms improve data quality and consistency by automatically detecting and correcting inconsistencies and duplicates. \- Predictive analytics: AI and machine learning models analyze historical data to predict trends, identify opportunities, and uncover hidden patterns for better-informed decisions. How No-Code Tools and AI-Assisted Development Work: Business users define data requirements and workflows using no-code tools, enabling AI models to understand their needs. AI models process the information, generating recommendations for connector creation, ETL scripts, and microservices. Developers use AI-generated suggestions to accelerate development and tailor solutions to business needs. By combining automation, AI technologies, and no-code tools, organizations can streamline data architecture processes and bridge the gap between business users and developers, ultimately accelerating innovation. I share more tips on building an agile data architectures in my blog.

What level of understanding of AI do I need?

Would really appreciate some advice if anyone can help out! So I'm a 20 year old student currently doing regular internships in accounting. I use a lot of my spare time to build small businesses that I find fun to build. I have very little coding experience besides basic courses besides a bit of experience with react when building an app with a more technically competent partner. I've concluded 3 things: 1.I want to add the power of AI to my arsenal, whether in work or in business 2.I don't think I'd have the time or experience to be an absolute expert in AI 3.There's a lot of small tech shy businesses in my area which I think could benefit from AI, particularly in accounting automation. I'd love to introduce it to them through some sort of agency. 4.Ideally I want to be competent enough in AI to be able to start an AI based business (probably in finance) with a more technical developer who I can at least communicate with. &#x200B; So my question is, what level do I need? Should I learn all the complex maths behind it and the first principles, or just learn how to harness the powerful tools already out there? If either, could you point me in the right direction for resources? Thanks!

Let’s Build One Person Business Using 100% AI

AI made it possible for 9-to-5 workers to start a one-person business without quitting their jobs. Full Article https://preview.redd.it/tynb9y6z695d1.png?width=1309&format=png&auto=webp&s=b490d3676a63adcc01faff8c476056cb7d420022 https://i.redd.it/9x3okti0795d1.gif The Opportunities for Starting a Business ○ There are huge opportunities to start your own business by leveraging valuable skills to attract paying audiences. ○ New software and AI platforms make it easier to distribute products/services and automate tasks that were previously time-consuming. Our One Person Book Publication House ○ This article explores building a one-person AI-powered business focused on publishing books. ○ Users input data on a topic, and AI generates a comprehensive book structure and content based on that. ○ The generated content can be formatted, designed, and published digitally or in print easily. Why Read This Article? ○ It presents an innovative AI-powered approach to streamline the book publishing process. ○ It provides technical implementation details using LLM, Python and the Streamlit library as a reference. ○ It highlights AI's potential in automating creative tasks like writing and content creation. Approaching the One Person Business ○ Reflect on areas where you overcame personal struggles and gained valuable skills. ○ Leverage that expertise to build an AI business serving others facing similar obstacles. ○ Use AI tools to create content, automate processes, and efficiently scale your offerings. The Publication Business Idea ○ Focus on writing and publishing small books using AI writing assistants. ○ AI can streamline research, writing drafts, outlines, and ideas across genres. ○ Concentrate efforts on editing, formatting, and marketing while AI handles writing. The Book Generation Process ○ Users input structured topic data like outlines, key points, and references. ○ Advanced AI language models generate flowing book content from that data. ○ Minimal human effort is needed beyond initial inputs and refinement. ○ AI systems automatically handle formatting, design, and publishing. Technical Implementation ○ Includes a Book class to represent a book's hierarchical structure in Python. ○ Functions to generate book structures and section content using AI models. ○ Integrates with a Streamlit app for user input and output. ○ Allows downloading the final book in Markdown format. Closing Thoughts ○ This AI-powered approach makes book writing and publishing more accessible to individuals. ○ AI handles the heavy lifting, with humans providing quality control through editing. ○ It opens up possibilities for innovative knowledge sharing as technology evolves.

Let’s Build Small AI Buzz, Offer ‘Claim Processing’ to Mid/Big Companies

Discover How AI Can Transform Businesses, Every Details Spelled Out. Full Article https://preview.redd.it/jp0vc5g6e86d1.png?width=1421&format=png&auto=webp&s=efa43e2a9b04b6996b00adac4e4947a3b21c7e63 Artificial Intelligence (AI) is rapidly reshaping business landscapes, promising unprecedented efficiency and accuracy across industries. In this article, we delve into how Aniket Insurance Inc. (Imaginary) leverages AI to revolutionize its claim processing operations, offering insights into the transformative power of AI in modern business environments. ➡️ What’s This Article About? \* The article explores how Aniket Insurance Inc. uses AI to transform its claim processing. \* It details the three main workflows: User claim submission, Admin + AI claim processing, and Executive + AI claim analysis. https://preview.redd.it/ql0ec20ae86d1.png?width=769&format=png&auto=webp&s=4b6889dd85f848194d6adfc92c9c699138eb1fe7 ➡️ Why Read This Article \* Readers can see practical ways AI boosts efficiency in business, using Aniket Insurance as an example. \* AI speeds up routine tasks, like data entry, freeing up humans for more strategic work. It shows how AI-driven data analysis can lead to smarter business decisions. ➡️Let’s Design: Aniket Insurance Inc. has implemented AI architecture that encompasses three pivotal workflows: User Claim Submission Flow, Admin + AI Claim Processing Flow, and Executive + AI Claim Analysis Flow. Powered by AI models and integrated with store, this architecture ensures seamless automation and optimization of the entire claim processing lifecycle. By leveraging AI technologies like machine learning models and data visualization tools, Aniket Insurance how business can enhance operational efficiency, and strategic decision-making capabilities. https://preview.redd.it/qgdmzs3ee86d1.png?width=733&format=png&auto=webp&s=445295beb52a56d826e5527859cf62879116ddb0 ➡️Closing Thoughts: Looking ahead, the prospects of AI adoption across various industries are incredibly exciting. Imagine manufacturing plants where AI optimizes production lines, predicts maintenance needs, and ensures quality control. Envision healthcare facilities where AI assists in diagnosis, treatment planning, and drug discovery. Picture retail operations where AI personalizes product recommendations, streamlines inventory management, and enhances customer service. The possibilities are endless, as AI’s capabilities in pattern recognition, predictive modeling, and automation can be leveraged to tackle complex challenges and uncover valuable insights in virtually any domain. https://preview.redd.it/w3hr913ge86d1.png?width=754&format=png&auto=webp&s=d839a7703f5b28314a3278c8d628ae5f05d3668f

Let’s Build One Person Business Using 100% AI

AI made it possible for 9-to-5 workers to start a one-person business without quitting their jobs. Full Article https://preview.redd.it/tynb9y6z695d1.png?width=1309&format=png&auto=webp&s=b490d3676a63adcc01faff8c476056cb7d420022 https://i.redd.it/9x3okti0795d1.gif The Opportunities for Starting a Business ○ There are huge opportunities to start your own business by leveraging valuable skills to attract paying audiences. ○ New software and AI platforms make it easier to distribute products/services and automate tasks that were previously time-consuming. Our One Person Book Publication House ○ This article explores building a one-person AI-powered business focused on publishing books. ○ Users input data on a topic, and AI generates a comprehensive book structure and content based on that. ○ The generated content can be formatted, designed, and published digitally or in print easily. Why Read This Article? ○ It presents an innovative AI-powered approach to streamline the book publishing process. ○ It provides technical implementation details using LLM, Python and the Streamlit library as a reference. ○ It highlights AI's potential in automating creative tasks like writing and content creation. Approaching the One Person Business ○ Reflect on areas where you overcame personal struggles and gained valuable skills. ○ Leverage that expertise to build an AI business serving others facing similar obstacles. ○ Use AI tools to create content, automate processes, and efficiently scale your offerings. The Publication Business Idea ○ Focus on writing and publishing small books using AI writing assistants. ○ AI can streamline research, writing drafts, outlines, and ideas across genres. ○ Concentrate efforts on editing, formatting, and marketing while AI handles writing. The Book Generation Process ○ Users input structured topic data like outlines, key points, and references. ○ Advanced AI language models generate flowing book content from that data. ○ Minimal human effort is needed beyond initial inputs and refinement. ○ AI systems automatically handle formatting, design, and publishing. Technical Implementation ○ Includes a Book class to represent a book's hierarchical structure in Python. ○ Functions to generate book structures and section content using AI models. ○ Integrates with a Streamlit app for user input and output. ○ Allows downloading the final book in Markdown format. Closing Thoughts ○ This AI-powered approach makes book writing and publishing more accessible to individuals. ○ AI handles the heavy lifting, with humans providing quality control through editing. ○ It opens up possibilities for innovative knowledge sharing as technology evolves.

How I Built A Simple ‘BPO’ Company, All AI Employees (All Local)

Disrupting the BPO Industry: My Journey Building a Fully Automated Company with AI Employees Full Article : https://medium.com/@learn-simplified/how-i-built-a-simple-bpo-company-all-ai-employees-all-local-631e48fa908a &#x200B; https://preview.redd.it/htjo1mancl2d1.png?width=1586&format=png&auto=webp&s=7e77f4c66e5ca55a8b0ea6969c43a458503ad921 ● What Are We Doing Today? We are building a BPO (Business Process Outsourcing) call center for an imaginary electric company called "Aniket Very General Electric Company". We will create different departments staffed by AI agents who can chat (and eventually speak in next part) with customers to answer questions, handle complaints, or provide services. ● Why Should You Read This Article? Learning how to build AI agents that can do tasks in real setting, co ordinate w/ human, AI, providing technical support will be a highly valuable skill. ● How Are We Going to Build Our All AI Employees Company? ○ We will explain what BPO and call centers are. ○ Our AI company will have departments like Customer Service, Tech Support, Billing & Payments, Outage Management, and Onboarding Customers. ○ We will use Docker containers to run the Dify AI platform as the base. ○ The AI agents will use the LLaMA-3 language model from Meta AI. ○ We may use Groq's AI accelerator chip to make LLaMA-3 faster. ○ Each department will have a knowledge base of text files that the AI agents can reference. ● Let's Get Cooking! This section provides setup instructions for installing Docker, Ollama (for running LLaMA-3), and the Dify AI platform. It also outlines the different AI agents we will create for departments like Reception, Customer Service, Billing, Tech Support, etc. ● Let's Design our Organization ○ We explain how each department's AI agents will have their own knowledge base, like an employee handbook. ○ The knowledge bases will contain policies, procedures, and other key information. ○ The AI agents can quickly reference this information to provide accurate and knowledgeable responses. ● Let's Meet Our AI Employees ○ We chose the LLaMA-3 70B model as the base for all AI agents across departments. ○ We give the AI agents customized prompts to define their personalities and roles. ○ The knowledge bases act as training materials tailored to each department. ○ In the future, AI agents could have additional tools like ticket systems and integrations. ● Let's Run Our BPO Organization Now that the AI workforce and knowledge bases are ready, we can open our BPO company and have the AI agents start handling customer inquiries across different departments like billing, tech support, outages, and new connections. ● Debugging This section highlights the importance of debugging, showing traces of how the language model understands customer queries and retrieves relevant context from knowledge bases to provide good responses. ● Future Work ○ Scale up to handle more customers using cloud services or distributed computing. ○ Move AI agents and knowledge bases to the cloud for accessibility and maintenance. ○ Fine-tune language models for better performance in each department. ○ Use scalable vector databases for faster knowledge retrieval. ○ Enable voice interfaces and computer vision for more natural interactions. ○ Implement continuous learning so AI agents can expand their knowledge over time. The article demonstrates the potential of building an actual AI-powered company and raises thought-provoking questions about the role of humans, ethics, and using AI to create a better world. &#x200B;

I’m building 30 AI-powered businesses in 30 days with no experience. Here’s why.

Hey everyone! For the past 15 years, I worked in real estate development and sales, but I recently decided to make a career pivot into AI and automation.  I am starting from scratch with absolutely no experience in the space. But instead of just learning about AI, in March I'll be embarking on a challenge to build a business a day for 30 days using AI automation. Each one will be a fully functional product that could generate passive income. My goal? Learn by doing Document the entire process in public Share insights on what works (and what flops) I don't have any followers yet, but I just posted my first thread about my journey here:  https://x.com/RealEstateToAI/status/1886806315260953079 Would love to hear your thoughts: What resources did you find most valuable when starting with no experience in the space? What AI tools do you think are most valuable for automation?

Browser Agents Real Example

I made a Browser Price Matching Tool that uses browser automation and some clever skills to adjust your product prices based on real-time web searches data. If you're into scraping, automation, or just love playing with the latest in ML-powered tools like OpenAI's GPT-4, this one's for you. What My Project Does The tool takes your current product prices (think CSV) and finds similar products online (targeting Amazon for demo purposes). It then compares prices, allowing you to adjust your prices competitively. The magic happens in a multi-step pipeline: Generate Clean Search Queries: Uses a learned skill to convert messy product names (like "Apple iPhone14!<" or "Dyson! V11!!// VacuumCleaner") into clean, Google-like search queries. Browser Data Extraction: Launches asynchronous browser agents (leveraging Playwright) to search for those queries on Amazon, retrieves the relevant data, and scrapes the page text. Parse & Structure Results: Another custom skill parses the browser output to output structured info: product name, price, and a short description. Enrich Your Data: Finally, the tool combines everything to enrich your original data with live market insights! Full code link: Full code File Rundown learn\skill.py Learns how to generate polished search queries from your product names with GPT-4o-mini. It outputs a JSON file: makequery.json. learn\skill\select\best\product.py Trains another skill to parse web-scraped data and select the best matching product details. Outputs select_product.json. make\query.json The skill definition file for generating search queries (produced by learnskill.py). select\product.json The skill definition file for extracting product details from scraped results (produced by learnskillselectbest_product.py). product\price\matching.py The main pipeline script that orchestrates the entire process—from loading product data, running browser agents, to enriching your CSV. Setup & Installation Install Dependencies: pip install python-dotenv openai langchain\_openai flashlearn requests pytest-playwright Install Playwright Browsers: playwright install Configure OpenAI API: Create a .env file in your project directory with:OPENAI\API\KEY="sk-your\api\key\_here" Running the Tool Train the Query Skill: Run learnskill.py to generate makequery.json. Train the Product Extraction Skill: Run learnskillselectbestproduct.py to generate select_product.json. Execute the Pipeline: Kick off the whole process by running productpricematching.py. The script will load your product data (sample data is included for demo, but easy to swap with your CSV), generate search queries, run browser agents asynchronously, scrape and parse the data, then output the enriched product listings. Target Audience I built this project to automate price matching—a huge pain point for anyone running an e-commerce business. The idea was to minimize the manual labor of checking competitor prices while integrating up-to-date market insights. Plus, it was a fun way to combine automation,skill training, and browser automation! Customization Tweak the concurrency in productpricematching.py to manage browser agent load. Replace the sample product list with your own CSV for a real-world scenario. Extend the skills if you need more data points or different parsing logic. Ajudst skill definitions as needed Comparison With existing approaches you need to manually write parsing loginc and data transformation logic - here ai does it for you. If you like the tutorial - leave a star github

I'm Building an "AiExecutiveSuperAgent_Systems_Interface" between humanity and the Ai world, as well as each other... Let's Talk?

Ok... So look... This one is pretty crazy... I'm building an Ai Interface that knows me better than I know myself - Check, lots of people have this, either in reality with employees and family members, or with ai intelligence. But it doesn't just know Me... It knows how to talk with Me. It understands my language, because I've trained it to. I've also trained it to translate that to all my clients and HumanAgents, soon to become RobotAgents... The RESULT: I can literally just spend 1-18 hours talking to it, and things get DONE. Most of that time, I just say EXECUTE, or ENGAGE, or DRAFT, or DISPATCH. I feel like a secret agent communicating in codes with his agency 😂 Not great for the paranoiac in me, but it's easy to get that part under control, ya'll. It's like having a team of 10,000 people, all available 24/7, all perfectly synchronised to each other's communication styles, preferences and ultimately: WHAT DO YOU NEED ME TO DO. At the end of the it all, having run my single COMMAND through a thousand of those people, a Document is prepared that outlines the next 3 stages of the plan, along with instructions to the whole team for how to ENACT it. Sounds rather grand and wonderful... Even when I simply use it to help me come up with a filing system for my creative work... \\\\\\\\\\\\\\\\\\\\\\ Here's my current VISION, why I'm doing this AND why I'm doing it publicly despite it being top secret. VISION To create an army of User-Owned and Operated "AiSuperAgencies" which gather intelligence on the user, securely file and analyse it, and then construct a sub-army of agents and tools that work together to produce the desired output, for any Function in the Personal and Professional Lives of EVERYONE, EVERYWHERE, in 3-5 Years. To start, I'm building it for me and the 5-10 cleaners who've made it to Level 1 in my access system. They were sick of toxic employers, tyrannical agencies and greedy customers. They gathered around us (many came in, many went out, few stayed, took about a year for our core team of 3 Level 2 Cleaners. My goal has always been to never employ anyone. Just me, my Partner and the Cleaners. All Shared Owners in the system for delivering the right cleaner to the right house in our town, at the right time and without any dramas or arguments... I have a personal talent for resolving disputes, which has made working for and buying from my business a mostly enjoyable and upbeat experience, with a touch of mystery and a feeling that you're part of something big! It is a business that ran on Me. I put in my time, every day, building automated tool after automated tool. Hiring a contractor to do a job, scratching my head when it didn't add enough value to pay for itself, then just doing it myself again. I wanted to solve that problem. I'm trusting that the few who hear about it who actually see the potential, will just come join us, no dramas, just cool people partnering up! And those that don't, won't. No one could steal it, because it's Mine, and I'll just change the keys anyway loser! Enjoy digging through my past, you lunatic! I'm out here living Now. Anyways... It's lonely around here. I have a cleaning business that I run from my laptop, which means I can live anywhere, but I still had this big problem of time... NOT ENOUGH Oh Wait. It's Here.

Browser Agents Real Example

I made a Browser Price Matching Tool that uses browser automation and some clever skills to adjust your product prices based on real-time web searches data. If you're into scraping, automation, or just love playing with the latest in ML-powered tools like OpenAI's GPT-4, this one's for you. What My Project Does The tool takes your current product prices (think CSV) and finds similar products online (targeting Amazon for demo purposes). It then compares prices, allowing you to adjust your prices competitively. The magic happens in a multi-step pipeline: Generate Clean Search Queries: Uses a learned skill to convert messy product names (like "Apple iPhone14!<" or "Dyson! V11!!// VacuumCleaner") into clean, Google-like search queries. Browser Data Extraction: Launches asynchronous browser agents (leveraging Playwright) to search for those queries on Amazon, retrieves the relevant data, and scrapes the page text. Parse & Structure Results: Another custom skill parses the browser output to output structured info: product name, price, and a short description. Enrich Your Data: Finally, the tool combines everything to enrich your original data with live market insights! Full code link: Full code File Rundown learn\skill.py Learns how to generate polished search queries from your product names with GPT-4o-mini. It outputs a JSON file: makequery.json. learn\skill\select\best\product.py Trains another skill to parse web-scraped data and select the best matching product details. Outputs select_product.json. make\query.json The skill definition file for generating search queries (produced by learnskill.py). select\product.json The skill definition file for extracting product details from scraped results (produced by learnskillselectbest_product.py). product\price\matching.py The main pipeline script that orchestrates the entire process—from loading product data, running browser agents, to enriching your CSV. Setup & Installation Install Dependencies: pip install python-dotenv openai langchain\_openai flashlearn requests pytest-playwright Install Playwright Browsers: playwright install Configure OpenAI API: Create a .env file in your project directory with:OPENAI\API\KEY="sk-your\api\key\_here" Running the Tool Train the Query Skill: Run learnskill.py to generate makequery.json. Train the Product Extraction Skill: Run learnskillselectbestproduct.py to generate select_product.json. Execute the Pipeline: Kick off the whole process by running productpricematching.py. The script will load your product data (sample data is included for demo, but easy to swap with your CSV), generate search queries, run browser agents asynchronously, scrape and parse the data, then output the enriched product listings. Target Audience I built this project to automate price matching—a huge pain point for anyone running an e-commerce business. The idea was to minimize the manual labor of checking competitor prices while integrating up-to-date market insights. Plus, it was a fun way to combine automation,skill training, and browser automation! Customization Tweak the concurrency in productpricematching.py to manage browser agent load. Replace the sample product list with your own CSV for a real-world scenario. Extend the skills if you need more data points or different parsing logic. Ajudst skill definitions as needed Comparison With existing approaches you need to manually write parsing loginc and data transformation logic - here ai does it for you. If you like the tutorial - leave a star github

I’m building 30 AI-powered businesses in 30 days with no experience. Here’s why.

Hey everyone! For the past 15 years, I worked in real estate development and sales, but I recently decided to make a career pivot into AI and automation.  I am starting from scratch with absolutely no experience in the space. But instead of just learning about AI, in March I'll be embarking on a challenge to build a business a day for 30 days using AI automation. Each one will be a fully functional product that could generate passive income. My goal? Learn by doing Document the entire process in public Share insights on what works (and what flops) I don't have any followers yet, but I just posted my first thread about my journey here:  https://x.com/RealEstateToAI/status/1886806315260953079 Would love to hear your thoughts: What resources did you find most valuable when starting with no experience in the space? What AI tools do you think are most valuable for automation?

Backend dev wants to learn ML

Hello ML Experts, I am staff engineer, working in a product based organization, handling the backend services. I see myself becoming Solution Architect and then Enterprise Architect one day. With the AI and ML trending now a days, So i feel ML should be an additional skill that i should acquire which can help me leading and architecting providing solutions to the problems more efficiently, I think however it might not replace the traditional SWEs working on backend APIs completely, but ML will be just an additional diamention similar to the knowledge of Cloud services and DevOps. So i would like to acquire ML knowledge, I dont have any plans to be an expert at it right now, nor i want to become a full time data scientist or ML engineer as of today. But who knows i might diverge, but thats not the plan currently. I did some quick promting with ChatGPT and was able to comeup with below learning path for me. So i would appreciate if some of you ML experts can take a look at below learning path and provide your suggestions 📌 PHASE 1: Core AI/ML & Python for AI (3-4 Months) Goal: Build a solid foundation in AI/ML with Python, focusing on practical applications. 1️⃣ Python for AI/ML (2-3 Weeks) Course: [Python for Data Science and Machine Learning Bootcamp]() (Udemy) Topics: Python, Pandas, NumPy, Matplotlib, Scikit-learn basics 2️⃣ Machine Learning Fundamentals (4-6 Weeks) Course: Machine Learning Specialization by Andrew Ng (C0ursera) Topics: Linear & logistic regression, decision trees, SVMs, overfitting, feature engineering Project: Build an ML model using Scikit-learn (e.g., predicting house prices) 3️⃣ Deep Learning & AI Basics (4-6 Weeks) Course: Deep Learning Specialization by Andrew Ng (C0ursera) Topics: Neural networks, CNNs, RNNs, transformers, generative AI (GPT, Stable Diffusion) Project: Train an image classifier using TensorFlow/Keras 📌 PHASE 2: AI/ML for Enterprise & Cloud Applications (3-4 Months) Goal: Learn how AI is integrated into cloud applications & enterprise solutions. 4️⃣ AI/ML Deployment & MLOps (4 Weeks) Course: MLOps Specialization by Andrew Ng (C0ursera) Topics: Model deployment, monitoring, CI/CD for ML, MLflow, TensorFlow Serving Project: Deploy an ML model as an API using FastAPI & Docker 5️⃣ AI/ML in Cloud (Azure, AWS, OpenAI APIs) (4-6 Weeks) Azure AI Services: Course: Microsoft AI Fundamentals (C0ursera) Topics: Azure ML, Azure OpenAI API, Cognitive Services AWS AI Services: Course: [AWS Certified Machine Learning – Specialty]() (Udemy) Topics: AWS Sagemaker, AI workflows, AutoML 📌 PHASE 3: AI Applications in Software Development & Future Trends (Ongoing Learning) Goal: Explore AI-powered tools & future-ready AI applications. 6️⃣ Generative AI & LLMs (ChatGPT, GPT-4, LangChain, RAG, Vector DBs) (4 Weeks) Course: [ChatGPT Prompt Engineering for Developers]() (DeepLearning.AI) Topics: LangChain, fine-tuning, RAG (Retrieval-Augmented Generation) Project: Build an LLM-based chatbot with Pinecone + OpenAI API 7️⃣ AI-Powered Search & Recommendations (Semantic Search, Personalization) (4 Weeks) Course: [Building Recommendation Systems with Python]() (Udemy) Topics: Collaborative filtering, knowledge graphs, AI search 8️⃣ AI-Driven Software Development (Copilot, AI Code Generation, Security) (Ongoing) Course: AI-Powered Software Engineering (C0ursera) Topics: AI code completion, AI-powered security scanning 🚀 Final Step: Hands-on Projects & Portfolio Once comfortable, work on real-world AI projects: AI-powered document processing (OCR + LLM) AI-enhanced search (Vector Databases) Automated ML pipelines with MLOps Enterprise AI Chatbot using LLMs ⏳ Suggested Timeline 📅 6-9 Months Total (10-12 hours/week) 1️⃣ Core ML & Python (3-4 months) 2️⃣ Enterprise AI/ML & Cloud (3-4 months) 3️⃣ AI Future Trends & Applications (Ongoing) Would you like a customized plan with weekly breakdowns? 🚀

Automating Tax Expertise with Custom GPT – Need Advice

Hey everyone, I'm an accountant, and I want to build a custom GPT that specializes in tax laws. The idea is to upload all relevant tax laws, regulations, and books (in PDF format) so that when I ask a tax-related question, the AI can not only provide an answer but also cite the exact legal reference. I want to automate this process so that whenever tax laws are updated, the AI stays current. Has anyone here worked on something similar? What’s the best way to structure and automate data ingestion for a knowledge-based AI like this? Any tools or workflows you'd recommend for making the AI more accurate and reliable in referencing legal texts? Looking forward to your insights!

How to Start Research in Computer Science & AI in 2025 – A Modernized Framework

Over a decade ago, I wrote two articles: "A Beginner’s Guide to Computer Science Research" and "How to Start a Research Work in Computer Science: A Framework for Beginners" \- that have been used at several universities around the world for the same purpose. These articles aimed to help students and early-career researchers navigate the complexities of academic research in computer science. However, since 2014, the research landscape has changed dramatically with the rise of AI, automation, and powerful collaborative tools. Now, in 2025, starting research in computer science and AI is more accessible than ever. With AI-powered research assistants, open-access repositories, and real-time collaborative platforms, researchers can work more efficiently and focus on innovation. I recently published an updated guide in The Times of India, presenting a modern “Eight-Step Approach to Research” framework that integrates the latest methodologies and tools for AI and CS research. This framework is designed to help students and researchers independently explore their chosen topics while leveraging cutting-edge technology. If you’re curious about how to streamline your research workflow, enhance your literature review process, and effectively collaborate in the AI research space, check out the article here: 🔗 How to Start a Research Work in Computer Science and AI in 2025 – An Updated Framework Block Diagram of “Eight-Step Approach to Research” in 2025 Would love to hear thoughts from the ML research community—what tools and techniques do you use to make research more efficient in 2025? Let’s discuss! 🚀

Can I Download and Deploy a Custom AI Model Trained in Power Automate AI Builder?

Hello, I'm currently working on a project where I need to extract specific information from a large number of PDF documents—such as locations, addresses, machine types, etc. I’m using Power Automate AI Builder, which lets me label hundreds of PDFs and create collections for different document layouts. It’s a great tool for training a model to handle these tasks, but it seems like I can't download the trained model or deploy it outside of the Microsoft ecosystem (e.g., using it with Python or other platforms). The problem is, I need a model that can handle processing thousands of PDF files with varying layouts. The goal is to have a model that I can integrate with Python, and potentially, in the future, embed into a website or other applications. I'm aware of other tools like Google Document AI and Azure, but I’m wondering if these or other platforms allow the same kind of training process while also giving me the ability to download and use the model externally. Unfortunately, I haven’t been able to try out these tools or alternatives because most of them require payment before you can experiment with them. Does anyone know if Google Document AI, Azure, or any other platforms offer this capability? Or any suggestions for other tools that might meet these needs? Any recommendations or insights would be greatly appreciated!

I'm Building an "AiExecutiveSuperAgent_Systems_Interface" between humanity and the Ai world, as well as each other... Let's Talk?

Ok... So look... This one is pretty crazy... I'm building an Ai Interface that knows me better than I know myself - Check, lots of people have this, either in reality with employees and family members, or with ai intelligence. But it doesn't just know Me... It knows how to talk with Me. It understands my language, because I've trained it to. I've also trained it to translate that to all my clients and HumanAgents, soon to become RobotAgents... The RESULT: I can literally just spend 1-18 hours talking to it, and things get DONE. Most of that time, I just say EXECUTE, or ENGAGE, or DRAFT, or DISPATCH. I feel like a secret agent communicating in codes with his agency 😂 Not great for the paranoiac in me, but it's easy to get that part under control, ya'll. It's like having a team of 10,000 people, all available 24/7, all perfectly synchronised to each other's communication styles, preferences and ultimately: WHAT DO YOU NEED ME TO DO. At the end of the it all, having run my single COMMAND through a thousand of those people, a Document is prepared that outlines the next 3 stages of the plan, along with instructions to the whole team for how to ENACT it. Sounds rather grand and wonderful... Even when I simply use it to help me come up with a filing system for my creative work... \\\\\\\\\\\\\\\\\\\\\\ Here's my current VISION, why I'm doing this AND why I'm doing it publicly despite it being top secret. VISION To create an army of User-Owned and Operated "AiSuperAgencies" which gather intelligence on the user, securely file and analyse it, and then construct a sub-army of agents and tools that work together to produce the desired output, for any Function in the Personal and Professional Lives of EVERYONE, EVERYWHERE, in 3-5 Years. To start, I'm building it for me and the 5-10 cleaners who've made it to Level 1 in my access system. They were sick of toxic employers, tyrannical agencies and greedy customers. They gathered around us (many came in, many went out, few stayed, took about a year for our core team of 3 Level 2 Cleaners. My goal has always been to never employ anyone. Just me, my Partner and the Cleaners. All Shared Owners in the system for delivering the right cleaner to the right house in our town, at the right time and without any dramas or arguments... I have a personal talent for resolving disputes, which has made working for and buying from my business a mostly enjoyable and upbeat experience, with a touch of mystery and a feeling that you're part of something big! It is a business that ran on Me. I put in my time, every day, building automated tool after automated tool. Hiring a contractor to do a job, scratching my head when it didn't add enough value to pay for itself, then just doing it myself again. I wanted to solve that problem. I'm trusting that the few who hear about it who actually see the potential, will just come join us, no dramas, just cool people partnering up! And those that don't, won't. No one could steal it, because it's Mine, and I'll just change the keys anyway loser! Enjoy digging through my past, you lunatic! I'm out here living Now. Anyways... It's lonely around here. I have a cleaning business that I run from my laptop, which means I can live anywhere, but I still had this big problem of time... NOT ENOUGH Oh Wait. It's Here.

What would be the most suitable AI tool for automating document classification and extracting relevant data for search functionality?

What would be the most suitable AI tool for automating document classification and extracting relevant data for search functionality? I have a collection of domain-specific documents, including medical certificates, award certificates, good moral certificates, and handwritten forms. Some of these documents contain a mix of printed and handwritten text, while others are entirely printed. My goal is to build a system that can automatically classify these documents, extract key information (e.g., names and other relevant details), and enable users to search for a person's name to retrieve all associated documents stored in the system. Since I have a dataset of these documents, I can use it to train or fine-tune a model for improved accuracy in text extraction and classification. I am considering OCR-based solutions like Google Document AI and TroOCR, as well as transformer models and vision-language models (VLMs) such as Qwen2-VL, MiniCPM, and GPT-4V. Given my dataset and requirements, which AI tool or combination of tools would be the most effective for this use case?

What AI models can I build to automate processes in the architecture field?

An architecture company that builds hospitals, villas, and towers. They want to integrate AI/ML into their workflow to automate processes and improve efficiency they don't have a specific area to automate but they want to follow the wave and add ai.I’m looking for suggestions on AI models/ agents or tools that can help automate the processes: What AI/ML models would you recommend ? Are there any existing tools or frameworks ( generative 3d design from 2d, 3d rendring, NLP, predictive analytics) that I should explore? Do you have examples of how AI has been successfully applied in architecture or construction? Any advice, resources, or examples would be greatly appreciated! Thanks in advance!

Why isn't there automated AI data cleaning software already?

I've been getting into machine learning and data science, and I keep wondering: why isn't there more automated AI data cleaning software? I know there are some tools out there, but it feels like we’re missing a fully automated, easy-to-use solution. Data cleaning is such a crucial part of any ML project, so it seems like this should be a no-brainer.

Tried every no-code tool under the sun—finally built a fully custom business app in minutes with AI

Hey r/SideProject, After months of trying to piece together no-code tools to fit small businesses’ needs, I kept hitting a wall. Every setup felt like a workaround, never quite matching the way these businesses actually operate. That’s when I realized most SMBs need software that’s built around their specific workflows, not patched together. But developing something custom from scratch? Not realistic for most small businesses in terms of time or cost. So, I set out to create a new approach. Enter Crust AI—a tool where SMB owners just describe what they need, and in 5 minutes, it generates a fully functional app. Crust can even plug into existing data from Airtable, Monday, or Notion, and builds the entire interface on top with no design limitations—completely generated by AI. From client portals to vendor management systems, Crust delivers an end-to-end solution without the dev work. For once, I didn’t need to wrestle with endless integrations and limitations. If you’ve been through the same, check out trycrust.co and let me know your thoughts. Happy to answer questions or hear about your own experiences!

I'm a designer with no coding experience – built an AI storytelling site for kids using GPT

A friend asked me to help design an AI tool for kids to create their own stories. I'm a designer, not a developer, but I was curious how far I could take it myself. I used GPT + some no-code tools (mainly Lovable) and surprisingly ended up with a working MVP. It’s super rough but functional — and I learned a lot. Curious if anyone else here has tried making stuff for kids. Would love thoughts on how to simplify it further or what you’d expect from a tool like this.

I built a library to visualize and edit audio filters

Hey everyone! TLDR: No fancy AI Agents or trendy micro-SaaS here — just an old-school library. Scroll down for the demo link! 🙃 App Demo The Story Behind Several years ago, I deep-dived into reverse engineering the parameter system used in VAG (Volkswagen, Audi, Porsche, etc) infotainment units. I managed to decode their binary format for storing settings for each car type and body style. To explain it simply - their firmware contains equalizer settings for each channel of the on-board 5.1 speaker system based on cabin volume and other parameters, very similar to how home theater systems are configured (gains, delays, limiters, etc). I published this research for the car enthusiast community. While the interest was huge, the reach remained small since most community members weren't familiar with hex editors. Only a few could really replicate what I documented. After some time, I built a web application that visualized these settings and allowed to unpack, edit and repack that data back into the binary format. Nowadays The original project was pretty messy (spaghetti code, honestly) and had a very narrow focus. But then I realized the visualization library itself could be useful for any audio processing software. When I first tried to visualize audio filters with that project, I hit a wall. Most charting libraries are built for business data, all those "enterprise-ready visualization solutions". But NONE of them is designed for audio-specific needs. D3.js is the only real option here — it’s powerful but requires days of digging through docs just to get basic styling right. And if you want interactive features like drag-and-drop? Good luck with that. (Fun fact: due to D3's multiple abstraction layers, just the same filter calculations in DSSSP are 1.4-2x faster than D3's implementation). So, I built a custom vector-based graph from scratch with a modern React stack. The library focuses on one thing - audio filters. No unnecessary abstractions, no enterprise bloat, just fast and convenient (I hope!) tools for tools for audio processing software. Core Features Logarithmic frequency response visualization Interactive biquad filter manipulation Custom audio calculation engine Drag-and-drop + Mouse wheel controls Flexible theming API Technical Details Built with React + SVG (no Canvas) Zero external dependencies besides React Full TypeScript support Live Demo & Docs & GitHub This is the first public release, landing page is missing, and the backlog is huge, and docs do not cover some aspects. (You know, there's never a perfect timimng - I just had to stop implementing my ideas and make it community driven). I'd love to see what you could build with these components. What's missing? What could be improved? I'm still lacking the understanding of how it could gain some cash flow, while staying open-source. Any ideas?

I am building a free app to fight propaganda online. Need your help

So long story short I was recently bombarded with an insane amounts of right-wing propaganda online and Russian bots so I decided I can somehow simplify the validation of the facts that are posted by people online. I have made a research of tools that are currently available for that and I've found that ChatGpt is quite biased with some topics and it lacks data about latest issues even when search mode is enabled. At least it takes some time for it to update it's memory or something Then I've checked a Google Fact Check tools which were even worse. Bad UI... I had no idea how it validates things because usually proof links that Google provides are quite random. So I decided to build a tool that simplifies the research. The idea was simple - you have a claim - you paste it in app and it goes on web collects articles on topic then processes them with ai and makes a decision based on those articles. The app is running right now. It is completely free and no ads. Also it generates a small article where it tells about how it made a conclusion. Also I need your help - How can I make this app better? Also feel free to test your claims so that I can have more real data to tune this app on. I believe that this is something that is necessary for all of us especially in those crazy times! Here is the link - truthorfake.com https://preview.redd.it/vp5fbzpyfkne1.png?width=854&format=png&auto=webp&s=84df7913382634614814866c8df743d8378d28dd

I Built Blainy - An AI Writing Tool for Students and Researchers

Hello Everyone, I built Blainy, an AI writing tool designed to make writing easier and more efficient, based on my own experiences as a student working part-time and struggling to find the time for essays and assignments. Blainy is perfect for students, researchers, content creators, and bloggers. It addresses the gaps where most writing tools fall short and helps you write essays, assignments, research papers, product descriptions, blog content, and more with ease. I created this tool based on the problems I faced, so I genuinely want to know your review on this. Blainy's Features: AI Suggestions: This feature provides you with suggestions while you are writing, so you don't face the writer's block issue. This was the main issue I usually faced when writing my essays. You will get suggestions while you are writing, and if you don't like them, you can always ask for alternatives. AI Automation: If you want AI to write for you, you can choose this feature. It will write one to two paragraphs according to what you select. You can choose to write an introduction, conclusion, arguments, etc. If you just want it to write casually, select the "continue writing" feature, and it will write all on its own. Paraphrasing: If you want to paraphrase your text, you can do it on Blainy. You can also select different tones for writing, such as academic, friendly, simplicity, and more. Citations: By using this feature, you no longer need to search for citations on Google or ChatGPT. Blainy will load millions of citations for you in seconds. You can select any citation you want, and if you want to add a custom citation, you can do that too. Built-in Plagiarism Checker: Blainy includes a plagiarism checker to ensure that your content is original and plagiarism-free. PDF Chat: If you have any questions about a document that you are curious about or don't understand, you can use this feature. It will answer your question and help you summarize the whole article, and more. Best of all, We provide daily credits so you can access all these features for free with daily credits! We understand the unique challenges faced by students, including those with dyslexia and other writing difficulties. That's why we're working on adding features like a voice-to-text converter to assist students who struggle with writing. Your feedback is invaluable to us, so please don't hesitate to reach out and share your thoughts. We're also considering adding some free tools like paraphrasing to attract more users. If you have any suggestions for additional features that would be beneficial, please let me know. Your input can help us improve Blainy and make it even more valuable for everyone. If you have any good ideas that you think can help us in any way, please let me know. Thank you in advance for your support and feedback! Check it out: Blainy

Just hit $6k MRR, ask me anything

Hey everyone! After months (or years) of late nights, countless iterations, and endless learning, my side hustle just hit $6K MRR. It feels surreal to finally hit this milestone, and I wanted to share it with the community that’s been a constant source of inspiration and motivation. I’d love to pay it forward, answer questions, and chat with anyone on a similar journey! Whether you’re just starting out, scaling, or stuck in the grind, ask me anything about: What worked and what didn’t during the early stages How I managed time and stress with a full-time job Building a customer base and retention strategies Tools, tech stack, or marketing strategies that got me here How I’m planning to scale further from here Feel free to ask about the challenges too—because there have been many! 😂 Thanks to everyone who’s been part of the community here—it’s helped me push through. Let’s chat and grow together! 🚀 My app: https://dietapp.ai https://preview.redd.it/0d3mu80fd5xd1.png?width=972&format=png&auto=webp&s=50139d47258bc5910ea51a12d0bff2335d0e9909

How I built my SaaS and earned $273 MRR in the first month

Hi everyone! I’m Alex Varga, an indie developer. Last year, I focused on accelerating my development speed and launched 10 projects in 12 months. One of them called Bulk Image Generation started growing through SEO, so I decided to focus on it. After one month of SEO efforts, it’s generating $273 MRR. I hope my experience will be useful to others. Concept bulkimagegeneration.com website helps to generate up to 100 images in 15 seconds using AI I was using Google, started with keywords like "Bulk Image ..." a lot of them are Bulk Image Resizer, Downloader etc. But there was no Bulk Image Generator. I thought: yeah, this domain is available, let's buy. So I bought bulkimagegeneration.com and bulkimagegenerator.com So, the app concept is to help people generate images with AI at scale: let\`s say 100 images in 15 seconds. Marketing Gap https://preview.redd.it/4luzib02bbie1.png?width=1905&format=png&auto=webp&s=cbe845107aca46ae5729dfe121fefd5e9cdab9ac Most builders create a product first and figure out how to sell it later. I took a completely different approach with Bulk Image Generator. I identified a market gap and secured a domain name that matched exactly what people were searching for and launched app. https://preview.redd.it/h6vwur34bbie1.png?width=1905&format=png&auto=webp&s=9a163ff6f503be4c175c6e5e82e2003b32df1fe0 Growth Strategy SEO has become the main acquisition channel, so I’ve decided to focus even more on it with this experiment. Almost every day, I publish either a new article or a free micro-app (as a lead magnet) for Bulk Image Generator. I also tried Google Ads, spent $20, and got a $0.35 CPC. https://preview.redd.it/3rhnzvs6bbie1.png?width=1905&format=png&auto=webp&s=f9819d1e82d3e2429d6ccb7b00dcac86a7a351c2 In comparison, the Free Image to Text Prompt Converter (one of the lead magnets) has a $0.011 CPC, which is more than 30 times cheaper than Google Ads. So I decided not to focus now on paid ads. https://preview.redd.it/p333fyl9bbie1.png?width=1905&format=png&auto=webp&s=2e96532d7709b44b7459e7ccf37ef9a0fa784728 After using our free tools, some users explore our main product - a bulk image generation service. Users pay a monthly subscription to get credits, which they can spend on image generation, face swaps, and bulk background removal. Currently, this app generates around $250 in Monthly Recurring Revenue: https://preview.redd.it/9wcm0tjfbbie1.png?width=1905&format=png&auto=webp&s=41bcdd4f7594b09087c51cc5044e4b9c94c129c8 SEO Keyword Research I use Semrush or similar tools to find keywords with a search volume greater than 300 and then write articles targeting those keywords. If the topic has enough potential, I might create a free tool (e.g., a Free Image to Text Prompt Converter) to attract more users. Occasions matter. For instance, I wrote an article about creating images for Super Bowl ads, which led to one paying user who replicated the exact creatives showcased in the article https://preview.redd.it/shpax6mlbbie1.png?width=1905&format=png&auto=webp&s=d491385761df126424c2f9ba14c5da15f8cbb603 AI Tools Aggregators This can be an excellent acquisition channel. When BulkImageGeneration.com was featured in an article on Toolify.ai, I immediately gained three paying users (\~$60). I took 2 more AI Aggregators, and on average I had CPC = $0.2, which is a fair price and usually it has ROAs > 100%. However, some major aggregators are expensive ($300–400 per placement). I want to try it once I reach $500+ MRR. Next Steps bulkimagegeneration.com currently ranks #1 in search results for relevant keywords (e.g., “bulk image generation,” “bulk image generator”). I plan to keep producing content targeting niche keywords and timely occasions. buy more places in AI Aggregators I also want to reach out to YouTubers and ask them to include Bulk in their reviews for free

ChatPDF and PDF.ai are making millions using open source tech... here's the code

Why "copy" an existing product? The best SaaS products weren’t the first of their kind - think Slack, Shopify, Zoom, Dropbox, or HubSpot. They didn’t invent team communication, e-commerce, video conferencing, cloud storage, or marketing tools; they just made them better. What is a "Chat with PDF" SaaS? These are AI-powered PDF assistants that let you upload a PDF and ask questions about its content. You can summarize articles, extract key details from a contract, analyze a research paper, and more. To see this in action or dive deeper into the tech behind it, check out this YouTube video. Let's look at the market Made possible by advances in AI like ChatGPT and Retrieval-Augmented Generation (RAG), PDF chat tools started gaining traction in early 2023 and have seen consistent growth in market interest, which is currently at an all-time high (source:google trends) Keywords like "chat PDF" and "PDF AI" get between 1 to 10 million searches every month (source:keyword planner), with a broad target audience that includes researchers, students, and professionals across various industries. Leaders like PDF.ai and ChatPDF have already gained millions of users within a year of launch, driven by the growing market demand, with paid users subscribing at around $20/month. Alright, so how do we build this with open source? The core tech for most PDF AI tools are based on the same architecture. You generate text embeddings (AI-friendly text representations; usually via OpenAI APIs) for the uploaded PDF’s chapters/topics and store them in a vector database (like Pinecone). Now, every time the user asks a question, a similarity search is performed to find the most similar PDF topics from the vector database. The selected topic contents are then sent to an LLM (like ChatGPT) along with the question, which generates a contextual answer! Here are some of the best open source implementations for this process: GPT4 & LangChain Chatbot for large PDF docs by Mayo Oshin MultiPDF Chat App by Alejandro AO PDFToChat by Hassan El Mghari Worried about building signups, user management, payments, etc.? Here are my go-to open-source SaaS boilerplates that include everything you need out of the box: SaaS Boilerplate by Remi Wg Open SaaS by wasp-lang A few ideas to stand out from the noise: Here are a few strategies that could help you differentiate and achieve product market fit (based on the pivot principles from The Lean Startup by Eric Ries): Narrow down your target audience for a personalized UX: For instance, an exam prep assistant for students with study notes and quiz generator; or a document due diligence and analysis tool for lawyers. Add unique features to increase switching cost: You could autogenerate APIs for the uploaded PDFs to enable remote integrations (eg. support chatbot knowledge base); or build in workflow automation features for bulk analyses of PDFs. Offer platform level advantages: You could ship a native mobile/desktop apps for a more integrated UX; or (non-trivial) offer private/offline support by replacing the APIs with local open source deployments (eg. llama for LLM, an embedding model from the MTEB list, and FAISS for vector search). TMI? I’m an ex-AI engineer and product lead, so don’t hesitate to reach out with any questions! P.S. I've started a free weekly newsletter to share open-source/turnkey resources behind popular products (like this one). If you’re a founder looking to launch your next product without reinventing the wheel, please subscribe :)

I launched a site 3 weeks ago and it's made $2.6k so far, what next?

I launched my side project 3 weeks ago - an AI platform that lets you use 9+ AI apps in one (AI Music, AI Image generation, AI Chat with PDF, an AI library of tools, and 6 LLMs) It's made $2.6k so far in revenue, but now it's not growing and I need to find a new strategy (ninjachat dot ai) I made the site in around a week, did one sponsored post that took off a little to get us our first few hundred in revenue. Since then I've done more influencer marketing but now it's not converting anymore. Let me know if you have feedback on the site and any insight on how we can grow this. https://reddit.com/link/1e8xdld/video/q29zjykjyxdd1/player

Introducing Stratify: Your Ultimate AI Strategy Builder for Business Success

Hello, I’m thrilled to announce the launch of my new startup, Stratify! 🔍 What is Stratify? Stratify is an AI Strategy Builder designed to help businesses of all sizes develop, implement, and optimize their strategic plans using cutting-edge artificial intelligence. Whether you're a startup looking to scale or an established company aiming to innovate, Stratify provides the tools and insights you need to stay ahead in today's competitive landscape. 🌟 Key Features: Automated Strategy Development: Leverage AI to analyze market trends, competitor data, and internal metrics to create comprehensive strategic plans tailored to your business goals. Real-Time Analytics & Insights: Monitor your strategy's performance with real-time data dashboards, enabling you to make informed decisions quickly. Scenario Planning: Use AI-driven simulations to forecast different business scenarios and understand potential outcomes, helping you prepare for uncertainties. Collaborative Tools: Facilitate team collaboration with integrated communication features, ensuring everyone is aligned and contributing to the strategy development process. Customizable Templates: Access a library of industry-specific strategy templates that can be customized to fit your unique business needs. 💡 Why Stratify? In today's fast-paced business environment, creating and adapting effective strategies can be challenging. Many companies struggle with data overload, lack of actionable insights, and inefficient planning processes. Stratify addresses these pain points by harnessing the power of AI to streamline strategy building, making it more efficient, data-driven, and adaptable. 🚀 Our Journey So Far: Founded: August 2024 Milestones Achieved: Developed and tested our MVP with a select group of beta users What's Next: Launching our public beta in Q4 2024 Expanding our feature set based on user feedback Growing our team with experts in AI, business strategy, and customer success 🤝 How You Can Help: We’re eager to connect with early adopters, business strategists, and industry experts who can benefit from or contribute to Stratify. Here’s how you can get involved: Join Our Beta Program: Be among the first to experience Stratify and provide valuable feedback. Share Your Insights: Help us refine our features by sharing your business strategy challenges and needs. Spread the Word: If you know someone who could benefit from an AI-driven strategy builder, please share our mission and be an affiliate to earn rewards! 🌐 Learn More: Visit our website at AI-Powered Brand Strategy & Content Creation | Stratify (brandprovoke.com) and follow us for the latest updates and insights. 🙏 Thank You! A heartfelt thank you to the Reddit community for your support and encouragement. We’re excited to embark on this journey and look forward to your feedback and suggestions! Looking forward to your thoughts and questions!

Day 1 of my BIP for my AdonisJS Boilerplate (turbosaas) [Built in public]

Hello everyone, here is day 1 (not really, I started a bit earlier) of my project: A boilerplate using AdonisJS, Inertia What technologies are used/present? AdonisJS Inertia Stripe OpenAI TailwindCSS Vite (React) Why? Firstly, I want to save time when launching my projects, and I think you do too, so I've included as many relevant features as possible. I'm tired of seeing attitudes like 'develop your SaaS in 1 hour and produce terrible code!' The purpose of this codebase is to provide the highest quality code possible and to maintain that standard throughout the development process. You might spend an extra 20 minutes doing things right, but you'll save 2 hours on refactoring. And no, you won't have to pay for updates. (WTF by the way?) Why these technologies? I've seen a lot of NextJS for boilerplates, and I've also used NextJS before, but I quickly abandoned it. It quickly becomes a mess You lose track of what is what, and start doing anything Every update breaks your application Whereas with AdonisJS, life is beautiful. There are plenty of community packages already available, and everything you need is here. What am I offering? Authentication: Social authentication, OTP, Magic Links, and credentials, along with complete account management features like password recovery. Payment & Mailing Integration: Seamless integration from start to finish, with multiple options to choose from. Detailed Documentation: Thorough explanations of every aspect, covering even the smallest, potentially confusing details in the code. Maintainable & Scalable Code: Organized by features, allowing you to easily drag and drop features to extend functionality. Developer Tools: Handy commands for generating new features and automatically adding necessary imports; a complete config to enable/disable a feature in less than 10 seconds... Pre-made Pages: Ready-to-use pages such as an admin dashboard for tasks like automatically updating products on Stripe. Extensive Component Library: A variety of components to streamline development. I've designed this boilerplate to be as developer-friendly and robust as possible, aiming to support maintainability and scalability from the get-go. Summary of today and previous days Day 2 Stripe is a nightmare to set up if you've never done it before, it quickly becomes tedious. But I've finally finished setting everything up: one-time payments, subscriptions, and subscription updates. It was complicated. Today I finally implemented the 'forgot password' option, and I've completed all the authentication by adding magic links (working with OTP). I also set up automatic deployment with GitHub Actions, and everything works well. The build runs with the action to ensure everything goes smoothly, then using SSH, I pull the project, build it, and launch it. Tomorrow: What I want to do tomorrow Tomorrow, I want to create the blog, because yes, I want to include a blog as well, and especially complete it as soon as possible so it can be available on turbosaas(dot)dev, and write my build in public. It will probably use markdown. Thank you for reading this short build in public, you can also check out how it's going on turbosaas(dot)dev.

I made a super niche app for sailors and scaled it to 500k downloads

I started developing this app in 2016, and it was my first app ever. I already had several years of programming experience. Since I was studying maritime navigation, I came up with the idea of creating a maritime app to help students with various nautical calculations and learn maritime regulations. Although I had no experience in mobile app development, I chose the Ionic framework and started development gradually. First Version The first version took me about four months to develop because I literally had to learn everything from scratch: how to develop mobile apps, how to publish them, and everything needed to enable downloads on the app stores. Many of you might recognize me from my story about developing Sintelly and its late monetization. I made the same mistake with this maritime app. At that time, in my country, there was no possibility of earning through in-app purchases, only through ad displays. Since the app was predominantly downloaded in countries like India, the Philippines, and Indonesia, the ad revenue was quite low, and after some time, I removed the ads. Abandonment and Realization As I started developing other apps, this one fell into obscurity. I even just remembered that I needed to renew the domain, which resulted in losing it. The domain buyer tried to sell it back to me for years for $20k, which was absurd. All this led me to rebrand and start working on this app again. Interestingly, during these 8 years, the app never showed a declining trend in installations or active users. I'll share some numbers to give you insight: Total installations (Android + iOS): 501,000 Active installations (Android): 48,000 Monthly active users: 20,000 Average rating: Android 4.8, iOS 4.7 When I considered these numbers, I realized they weren't bad at all and that I was far ahead of most competitors. This led to my decision to rebrand and create a new website. I quickly built the website using WordPress and published lots of existing content from the app. What surprises me is that today, after a year and a half, the website has about 8-10k monthly organic visits. Choosing a Direction Based on all this, I decided it was time to create a Premium version and start selling the app. Since I've been working with AI for many years (which I've written about here), I started thinking about using AI to help seafarers speed up some of their tasks. This led to the idea of creating a multi-agent system equipped with numerous tools to help seafarers. I developed various agents with functionalities, including retrieving maritime weather information, locating and tracking ships, doing various nautical calculations, calculating the shortest maritime routes and unit conversions, and learning about all courses and maritime regulations. All this required considerable work, but thanks to tools like Cursor and Claude, I implemented it in less than four weeks. Last week, I published this new version and started selling subscriptions, and I can already boast that I've earned slightly over $100. This isn't much, but I'm happy to see my first app generating some income, which I always thought impossible. Along this journey, I learned many lessons, and the most important one is to never give up or write off a product. With a little effort, everything can be brought back to life and secure at least some passive income, enough for your morning coffee. Additionally, I learned how to develop mobile apps, which has shaped my career since then. If it weren't for this app, I probably would never have become a developer. I have numerous plans for what to add next and how to improve. I'll base everything on AI features and push the app in that direction.

My Side Projects: From CEO to 4th Developer (Thanks, AI 🤖)

Hey Reddit 👋, I wanted to share a bit about some side projects I’ve been working on lately. Quick background for context: I’m the CEO of a mid-to-large-scale eCommerce company pulling in €10M+ annually in net turnover. We even built our own internal tracking software that’s now a SaaS (in early review stages on Shopify), competing with platforms like Lifetimely and TrueROAS. But! That’s not really the point of this post — there’s another journey I’ve been on that I’m super excited to share (and maybe get your feedback on!). AI Transformed My Role (and My Ideas List) I’m not a developer by trade — never properly learned how to code, and to be honest, I don’t intend to. But, I’ve always been the kind of guy who jots down ideas in a notes app and dreams about execution. My dev team calls me their “4th developer” (they’re a team of three) because I have solid theoretical knowledge and can kinda read code. And then AI happened. 🛠️ It basically turned my random ideas app into an MVP generation machine. I thought it’d be fun to share one of the apps I’m especially proud of. I am also planning to build this in public and therefore I am planning to post my progress on X and every project will have /stats page where live stats of the app will be available. Tackling My Task Management Problem 🚀 I’ve sucked at task management for YEARS, I still do! I’ve tried literally everything — Sheets, Todoist, Asana, ClickUp, Notion — you name it. I’d start… and then quit after a few weeks - always. What I struggle with the most is delegating tasks. As a CEO, I delegate a ton, and it’s super hard to track everything I’ve handed off to the team. Take this example: A few days ago, I emailed an employee about checking potential collaboration opportunities with a courier company. Just one of 10s of tasks like this I delegate daily. Suddenly, I thought: “Wouldn’t it be AMAZING if just typing out this email automatically created a task for me to track?” 💡 So… I jumped in. With the power of AI and a few intense days of work, I built a task manager that does just that. But of course, I couldn’t stop there. Research & Leveling It Up 📈 I looked at similar tools like TickTick and Todoist, scraped their G2 reviews (totally legally, promise! 😅), and ran them through AI for a deep SWOT analysis. I wanted to understand what their users liked/didn’t like and what gaps my app could fill. Some of the features people said they were missing didn’t align with the vision for my app (keeping it simple and personal), but I found some gold nuggets: Integration with calendars (Google) Reminders Customizable UX (themes) So, I started implementing what made sense and am keeping others on the roadmap for the future. And I’ve even built for that to, it still doesn’t have a name, however the point is you select on how many reviews of a specific app you want to make a SWOT analysis on and it will do it for you. Example for Todoist in comments. But more on that, some other time, maybe other post ... Key Features So Far: Here’s what’s live right now: ✅ Email to Task: Add an email as to, cc, or bcc — and it automatically creates a task with context, due dates, labels, etc. ✅ WhatsApp Reminders: Get nudged to handle your tasks via WhatsApp. ✅ WhatsApp to Task: Send a message like /task buy groceries — bam, it’s added with full context etc.. ✅ Chrome Extension (work-in-progress): Highlight text on any page, right-click, and send it straight to your task list. Next Steps: Build WITH the Community 👥 Right now, the app is 100% free while still in the early stages. But hey, API calls and server costs aren’t cheap, so pricing is something I’ll figure out with you as we grow. For now, my goal is to hit 100 users and iterate from there. My first pricing idea is, without monthly subscription, I don’t want to charge someone for something he didn’t use. So I am planning on charging "per task", what do you think? Here’s what I have planned: 📍 End of Year Goal: 100 users (starting from… 1 🥲). 💸 Revenue Roadmap: When we establish pricing, we’ll talk about that. 🛠️ Milestones: Post on Product Hunt when we hit 100 users. Clean up my self-written spaghetti code (hire a pro dev for review 🙃). Hire a part-time dev once we hit MRR that can cover its costs. You can check how are we doing on thisisatask.me/stats Other Side Projects I’m Working On: Because… what’s life without taking on too much, right? 😂 Full list of things I’m building: Internal HRM: Not public, tried and tested in-house. Android TV App: Syncs with HRM to post announcements to office TVs (streamlined and simple). Stats Tracker App: Connects to our internal software and gives me real-time company insights. Review Analyzer: Scrapes SaaS reviews (e.g., G2) and runs deep analysis via AI. This was originally for my Shopify SaaS but is quickly turning into something standalone. Coming soon! Mobile app game: secret for now. Let’s Build This Together! Would love it if you guys checked out https://thisisatask.me and gave it a spin! Still super early, super raw, but I’m pumped to hear your thoughts. Also, what’s a must-have task manager feature for you? Anything that frustrates you with current tools? I want to keep evolving this in public, so your feedback is gold. 🌟 Let me know, Reddit! Are you with me? 🙌

How I Made $0 in One Month with My AI Startup

How I Made $0 in One Month with My AI Startup Step 1: Built an AI writing tool. Step 2: Expected users to magically appear. Step 3: Checked my analytics—still just me and my mom using it. Step 4: Did what every founder does—refreshed the dashboard 47 times a day. Step 5: Launched on Product Hunt. Got 12 upvotes. Half were from my alternate accounts. Step 6: Thought about running ads. Remembered I had no budget. Step 7: Scrolled Twitter for "growth hacks." Implemented none. Step 8: Posted on LinkedIn. My post got 2 likes—one from a bot. Step 9: Checked my Stripe account. Still $0. Moral of the story? Just launching isn’t enough. If you’re building an AI tool (or anything), people won’t magically show up—you need to market, iterate, and actually talk to users. Speaking of AI tools, I ended up building Panda AI Studio because AI tools should be easy to use, not a headache. No complicated prompts, no figuring out how to "talk" to AI. Just 200+ tools that do what you need for writing, content, marketing, job hunting, and more. If that sounds like something you’d actually use, check it out. Maybe I’ll finally break the $1 mark next month. 😅

I spent 6 months on a web app as a side project, and got 0 users. Here is my story.

Edit Thank you all so much for your time reading my story. Your support, feedback, criticism, and skepticism; all helped me a lot, and I couldn't appreciate it enough \^\_\^ I very rarely have stuff to post on Reddit, but I share how my project is going on, just random stuff, and memes on X. In case few might want to keep up 👀 TL;DR I spent 6 months on a tool that currently has 0 users. Below is what I learned during my journey, sharing because I believe most mistakes are easily avoidable. Do not overestimate your product and assume it will be an exception to fundamental principles. Principles are there for a reason. Always look for validation before you start. Avoid building products with a low money-to-effort ratio/in very competitive fields. Unless you have the means, you probably won't make it. Pick a problem space, pick your target audience, and talk to them before thinking about a solution. Identify and match their pain points. Only then should you think of a solution. If people are not overly excited or willing to pay in advance for a discounted price, it might be a sign to rethink. Sell one and only one feature at a time. Avoid everything else. If people don't pay for that one core feature, no secondary feature will change their mind. Always spend twice as much time marketing as you do building. You will not get users if they don't know it exists. Define success metrics ("1000 users in 3 months" or "$6000 in the account at the end of 6 months") before you start. If you don't meet them, strongly consider quitting the project. If you can't get enough users to keep going, nothing else matters. VALIDATION, VALIDATION, VALIDATION. Success is not random, but most of our first products will not make a success story. Know when to admit failure, and move on. Even if a product of yours doesn't succeed, what you learned during its journey will turn out to be invaluable for your future. My story So, this is the story of a product that I’ve been working on for the last 6 months. As it's the first product I’ve ever built, after watching you all from the sidelines, I have learned a lot, made many mistakes, and did only a few things right. Just sharing what I’ve learned and some insights from my journey so far. I hope that this post will help you avoid the mistakes I made — most of which I consider easily avoidable — while you enjoy reading it, and get to know me a little bit more 🤓. A slow start after many years Summ isn’t the first product I really wanted to build. Lacking enough dev skills to even get started was a huge blocker for so many years. In fact, the first product I would’ve LOVED to build was a smart personal shopping assistant. I had this idea 4 years ago; but with no GPT, no coding skills, no technical co-founder, I didn’t have the means to make it happen. I still do not know if such a tool exists and is good enough. All I wanted was a tool that could make data-based predictions about when to buy stuff (“buy a new toothpaste every three months”) and suggest physical products that I might need or be strongly interested in. AFAIK, Amazon famously still struggles with the second one. Fast-forward a few years, I learned the very basics of HTML, CSS, and Vanilla JS. Still was not there to build a product; but good enough to code my design portfolio from scratch. Yet, I couldn’t imagine myself building a product using Vanilla JS. I really hated it, I really sucked at it. So, back to tutorial hell, and to learn about this framework I just heard about: React.React introduced so many new concepts to me. “Thinking in React” is a phrase we heard a lot, and with quite good reasons. After some time, I was able to build very basic tutorial apps, both in React, and React Native; but I have to say that I really hated coding for mobile. At this point, I was already a fan of productivity apps, and had a concept for a time management assistant app in my design portfolio. So, why not build one? Surely, it must be easy, since every coding tutorial starts with a todo app. ❌ WRONG! Building a basic todo app is easy enough, but building one good enough for a place in the market was a challenge I took and failed. I wasted one month on that until I abandoned the project for good. Even if I continued working on it, as the productivity landscape is overly competitive, I wouldn’t be able to make enough money to cover costs, assuming I make any. Since I was (and still am) in between jobs, I decided to abandon the project. 👉 What I learned: Do not start projects with a low ratio of money to effort and time. Example: Even if I get 500 monthly users, 200 of which are paid users (unrealistically high number), assuming an average subscription fee of $5/m (such apps are quite cheap, mostly due to the high competition), it would make me around $1000 minus any occurring costs. Any founder with a product that has 500 active users should make more. Even if it was relatively successful, due to the high competition, I wouldn’t make any meaningful money. PS: I use Todoist today. Due to local pricing, I pay less than $2/m. There is no way I could beat this competitive pricing, let alone the app itself. But, somehow, with a project that wasn’t even functional — let alone being an MVP — I made my first Wi-Fi money: Someone decided that the domain I preemptively purchased is worth something. By this point, I had already abandoned the project, certainly wasn’t going to renew the domain, was looking for a FT job, and a new project that I could work on. And out of nowhere, someone hands me some free money — who am I not to take it? Of course, I took it. The domain is still unused, no idea why 🤔. Ngl, I still hate the fact that my first Wi-Fi money came from this. A new idea worth pursuing? Fast-forward some weeks now. Around March, I got this crazy idea of building an email productivity tool. We all use emails, yet we all hate them. So, this must be fixed. Everyone uses emails, in fact everyone HAS TO use emails. So, I just needed to build a tool and wait for people to come. This was all, really. After all, the problem space is huge, there is enough room for another product, everyone uses emails, no need for any further validation, right? ❌ WRONG ONCE AGAIN! We all hear from the greatest in the startup landscape that we must validate our ideas with real people, yet at least some of us (guilty here 🥸) think that our product will be hugely successful and prove them to be an exception. Few might, but most are not. I certainly wasn't. 👉 Lesson learned: Always validate your ideas with real people. Ask them how much they’d pay for such a tool (not if they would). Much better if they are willing to pay upfront for a discount, etc. But even this comes later, keep reading. I think the difference between “How much” and “If” is huge for two reasons: (1) By asking them for “How much”, you force them to think in a more realistic setting. (2) You will have a more realistic idea on your profit margins. Based on my competitive analysis, I already had a solution in my mind to improve our email usage standards and email productivity (huge mistake), but I did my best to learn about their problems regarding those without pushing the idea too hard. The idea is this: Generate concise email summaries with suggested actions, combine them into one email, and send it at their preferred times. Save as much as time the AI you end up with allows. After all, everyone loves to save time. So, what kind of validation did I seek for? Talked with only a few people around me about this crazy, internet-breaking idea. The responses I got were, now I see, mediocre; no one got excited about it, just said things along the lines of “Cool idea, OK”. So, any reasonable person in this situation would think “Okay, not might not be working”, right? Well, I did not. I assumed that they were the wrong audience for this product, and there was this magical land of user segments waiting eagerly for my product, yet unknowingly. To this day, I still have not reached this magical place. Perhaps, it didn’t exist in the first place. If I cannot find it, whether it exists or not doesn’t matter. I am certainly searching for it. 👉 What I should have done: Once I decide on a problem space (time management, email productivity, etc.), I should decide on my potential user segments, people who I plan to sell my product to. Then I should go talk to those people, ask them about their pains, then get to the problem-solving/ideation phase only later. ❗️ VALIDATION COMES FROM THE REALITY OUTSIDE. What validation looks like might change from product to product; but what invalidation looks like is more or less the same for every product. Nico Jeannen told me yesterday “validation = money in the account” on Twitter. This is the ultimate form of validation your product could get. If your product doesn’t make any money, then something is invalidated by reality: Your product, you, your idea, who knows? So, at this point, I knew a little bit of Python from spending some time in tutorial hell a few years ago, some HTML/CSS/JS, barely enough React to build a working app. React could work for this project, but I needed easy-to-implement server interactivity. Luckily, around this time, I got to know about this new gen of indie hackers, and learned (but didn’t truly understand) about their approach to indie hacking, and this library called Nextjs. How good Next.js still blows my mind. So, I was back to tutorial hell once again. But, this time, with a promise to myself: This is the last time I would visit tutorial hell. Time to start building this "ground-breaking idea" Learning the fundamentals of Next.js was easier than learning of React unsurprisingly. Yet, the first time I managed to run server actions on Next.js was one of the rarest moments that completely blew my mind. To this day, I reject the idea that it is something else than pure magic under its hood. Did I absolutely need Nextjs for this project though? I do not think so. Did it save me lots of time? Absolutely. Furthermore, learning Nextjs will certainly be quite helpful for other projects that I will be tackling in the future. Already got a few ideas that might be worth pursuing in the head in case I decide to abandon Summ in the future. Fast-forward few weeks again: So, at this stage, I had a barely working MVP-like product. Since the very beginning, I spent every free hour (and more) on this project as speed is essential. But, I am not so sure it was worth it to overwork in retrospect. Yet, I know I couldn’t help myself. Everything is going kinda smooth, so what’s the worst thing that could ever happen? Well, both Apple and Google announced their AIs (Apple Intelligence and Google Gemini, respectively) will have email summarization features for their products. Summarizing singular emails is no big deal, after all there were already so many similar products in the market. I still think that what truly matters is a frictionless user experience, and this is why I built this product in a certain way: You spend less than a few minutes setting up your account, and you get to enjoy your email summaries, without ever visiting its website again. This is still a very cool concept I really like a lot. So, at this point: I had no other idea that could be pursued, already spent too much time on this project. Do I quit or not? This was the question. Of course not. I just have to launch this product as quickly as possible. So, I did something right, a quite rare occurrence I might say: Re-planned my product, dropped everything secondary to the core feature immediately (save time on reading emails), tried launching it asap. 👉 Insight: Sell only one core feature at one time. Drop anything secondary to this core feature. Well, my primary occupation is product design. So one would expect that a product I build must have stellar design. I considered any considerable time spent on design at this stage would be simply wasted. I still think this is both true and wrong: True, because if your product’s core benefits suck, no one will care about your design. False, because if your design looks amateurish, no one will trust you and your product. So, I always targeted an average level design with it and the way this tool works made it quite easy as I had to design only 2 primary pages: Landing page and user portal (which has only settings and analytics pages). However, even though I knew spending time on design was not worth much of my time, I got a bit “greedy”: In fact, I redesigned those pages three times, and still ended up with a so-so design that I am not proud of. 👉 What I would do differently: Unless absolutely necessary, only one iteration per stage as long as it works. This, in my mind, applies to everything. If your product’s A feature works, then no need to rewrite it from scratch for any reason, or even refactor it. When your product becomes a success, and you absolutely need that part of your codebase to be written, do so, but only then. Ready to launch, now is th etime for some marketing, right? By July 26, I already had a “launchable” product that barely works (I marked this date on a Notion docs, this is how I know). Yet, I had spent almost no time on marketing, sales, whatever. After all, “You build and they will come”. Did I know that I needed marketing? Of course I did, but knowingly didn’t. Why, you might ask. Well, from my perspective, it had to be a dev-heavy product; meaning that you spend most of your time on developing it, mostly coding skills. But, this is simply wrong. As a rule of thumb, as noted by one of the greatests, Marc Louvion, you should spend at least twice of the building time on marketing. ❗️ Time spent on building \* 2 people don’t know your product > they don’t use your product > you don’t get users > you don’t make money Easy as that. Following the same reasoning, a slightly different approach to planning a project is possible. Determine an approximate time to complete the project with a high level project plan. Let’s say 6 months. By the reasoning above, 2 months should go into building, and 4 into marketing. If you need 4 months for building instead of 2, then you need 8 months of marketing, which makes the time to complete the project 12 months. If you don’t have that much time, then quit the project. When does a project count as completed? Well, in reality, never. But, I think we have to define success conditions even before we start for indie projects and startups; so we know when to quit when they are not met. A success condition could look like “Make $6000 in 12 months” or “Have 3000 users in 6 months”. It all depends on the project. But, once you set it, it should be set in stone: You don’t change it unless absolutely necessary. I suspect there are few principles that make a solopreneur successful; and knowing when to quit and when to continue is definitely one of them. Marc Louvion is famously known for his success, but he got there after failing so many projects. To my knowledge, the same applies to Nico Jeannen, Pieter Levels, or almost everyone as well. ❗️ Determining when to continue even before you start will definitely help in the long run. A half-aed launch Time-leap again. Around mid August, I “soft launched” my product. By soft launch, I mean lazy marketing. Just tweeting about it, posting it on free directories. Did I get any traffic? Surely I did. Did I get any users? Nope. Only after this time, it hit me: “Either something is wrong with me, or with this product” Marketing might be a much bigger factor for a project’s success after all. Even though I get some traffic, not convincing enough for people to sign up even for a free trial. The product was still perfect in my eyes at the time (well, still is ^(\_),) so the right people are not finding my product, I thought. Then, a question that I should have been asking at the very first place, one that could prevent all these, comes to my mind: “How do even people search for such tools?” If we are to consider this whole journey of me and my so-far-failed product to be an already destined failure, one metric suffices to show why. Search volume: 30. Even if people have such a pain point, they are not looking for email summaries. So, almost no organic traffic coming from Google. But, as a person who did zero marketing on this or any product, who has zero marketing knowledge, who doesn’t have an audience on social media, there is not much I could do. Finally, it was time to give up. Or not… In my eyes, the most important element that makes a founder (solo or not) successful (this, I am not by any means) is to solve problems. ❗️ So, the problem was this: “People are not finding my product by organic search” How do I make sure I get some organic traffic and gets more visibility? Learn digital marketing and SEO as much as I can within very limited time. Thankfully, without spending much time, I came across Neil Patel's YT channel, and as I said many times, it is an absolute gold mine. I learned a lot, especially about the fundamentals, and surely it will be fruitful; but there is no magic trick that could make people visit your website. SEO certainly helps, but only when people are looking for your keywords. However, it is truly a magical solution to get in touch with REAL people that are in your user segments: 👉 Understand your pains, understand their problems, help them to solve them via building products. I did not do this so far, have to admit. But, in case you would like to have a chat about your email usage, and email productivity, just get in touch; I’d be delighted to hear about them. Getting ready for a ProductHunt launch The date was Sept 1. And I unlocked an impossible achievement: Running out of Supabase’s free plan’s Egres limit while having zero users. I was already considering moving out of their Cloud server and managing a Supabase CLI service on my Hetzner VPS for some time; but never ever suspected that I would have to do this quickly. The cheapest plan Supabase offers is $25/month; yet, at that point, I am in between jobs for such a long time, basically broke, and could barely afford that price. One or two months could be okay, but why pay for it if I will eventually move out of their Cloud service? So, instead of paying $25, I spent two days migrating out of Supabase Cloud. Worth my time? Definitely not. But, when you are broke, you gotta do stupid things. This was the first time that I felt lucky to have zero users: I have no idea how I would manage this migration if I had any. I think this is one of the core tenets of an indie hacker: Controlling their own environment. I can’t remember whose quote this is, but I suspect it was Naval: Entrepreneurs have an almost pathological need to control their own fate. They will take any suffering if they can be in charge of their destiny, and not have it in somebody else’s hands. What’s truly scary is, at least in my case, we make people around us suffer at the expense of our attempting to control our own fates. I know this period has been quite hard on my wife as well, as I neglected her quite a bit, but sadly, I know that this will happen again. It is something that I can barely help with. Still, so sorry. After working the last two weeks on a ProductHunt Launch, I finally launched it this Tuesday. Zero ranking, zero new users, but 36 kind people upvoted my product, and many commented and provided invaluable feedback. I couldn't be more grateful for each one of them 🙏. Considering all these, what lies in the future of Summ though? I have no idea, to be honest. On one hand, I have zero users, have no job, no income. So, I need a way to make money asap. On the other hand, the whole idea of it revolves around one core premise (not an assumption) that I am not so willing to share; and I couldn’t have more trust in it. This might not be the best iteration of it, however I certainly believe that email usage is one of the best problem spaces one could work on. 👉 But, one thing is for certain: I need to get in touch with people, and talk with them about this product I built so far. In fact, this is the only item on my agenda. Nothing else will save my brainchild <3. Below are some other insights and notes that I got during my journey; as they do not 100% fit into this story, I think it is more suitable to list them here. I hope you enjoyed reading this. Give Summ a try, it comes with a generous free trial, no credit card required. Some additional notes and insights: Project planning is one of the most underestimated skills for solopreneurs. It saves you enormous time, and helps you to keep your focus up. Building B2B products beats building B2C products. Businesses are very willing to pay big bucks if your product helps them. On the other hand, spending a few hours per user who would pay $5/m probably is not worth your time. It doesn’t matter how brilliant your product is if no one uses it. If you cannot sell a product in a certain category/niche (or do not know how to sell it), it might be a good idea not to start a project in it. Going after new ideas and ventures is quite risky, especially if you don’t know how to market it. On the other hand, an already established category means that there is already demand. Whether this demand is sufficient or not is another issue. As long as there is enough demand for your product to fit in, any category/niche is good. Some might be better, some might be worse. Unless you are going hardcore B2B, you will need people to find your product by means of organic search. Always conduct thorough keyword research as soon as possible.

I Made $20K in 2 Months by Building in Public on X

Hey everyone, I wanted to share my journey of making $20K in just 2 months by leveraging Twitter (X) and building in public. It’s been an exciting ride, and I hope my story inspires others to take action on their ideas. Here’s exactly what I did: Building in Public I started sharing everything about my work openly. My wins, struggles, and process. I showed: How I build MVPs for clients. The tools I use (Next.js, Supabase, Cursor AI, etc.). The challenges I face and how I solve them. Transparency builds trust, and trust brings clients. Consistency is Key For the past 2 months, I’ve posted consistently on X, even when I felt like no one was watching. Here’s what I focused on: Sharing value (pro tips, workflows, tools). Asking for advice and engaging with my community. Highlighting my projects and client work. Building an audience takes time, but showing up daily pays off. Personal Brand = Inbound Clients I never did any “engagement farming” or gimmicky posts. I just shared my knowledge, and it led to over 35M views on my tweets and 7K followers. Many of these followers turned into inbound client leads. I’ve always believed: Share value for free, and charge for implementation. The Power of Community Engaging with my community on X has been game-changing. People have: Helped refine my processes. Shared valuable tools and advice. Connected me to opportunities I wouldn’t have found otherwise. Key Takeaway: You don’t need a perfect process or a huge following to start. Be consistent. Build in public. Share your journey. In 2 months, I’ve gone from wondering if this would work to making $20K by simply showing up and adding value. If you’re thinking about building in public or starting a personal brand, DO IT. It works. Feel free to ask me anything. I’m happy to share more details about my process, tools, or lessons learned! Let’s build together.

ChatPDF and PDF.ai are making millions using open source tech... here's the code

Why "copy" an existing product? The best SaaS products weren’t the first of their kind - think Slack, Shopify, Zoom, Dropbox, or HubSpot. They didn’t invent team communication, e-commerce, video conferencing, cloud storage, or marketing tools; they just made them better. What is a "Chat with PDF" SaaS? These are AI-powered PDF assistants that let you upload a PDF and ask questions about its content. You can summarize articles, extract key details from a contract, analyze a research paper, and more. To see this in action or dive deeper into the tech behind it, check out this YouTube video. Let's look at the market Made possible by advances in AI like ChatGPT and Retrieval-Augmented Generation (RAG), PDF chat tools started gaining traction in early 2023 and have seen consistent growth in market interest, which is currently at an all-time high (source:google trends) Keywords like "chat PDF" and "PDF AI" get between 1 to 10 million searches every month (source:keyword planner), with a broad target audience that includes researchers, students, and professionals across various industries. Leaders like PDF.ai and ChatPDF have already gained millions of users within a year of launch, driven by the growing market demand, with paid users subscribing at around $20/month. Alright, so how do we build this with open source? The core tech for most PDF AI tools are based on the same architecture. You generate text embeddings (AI-friendly text representations; usually via OpenAI APIs) for the uploaded PDF’s chapters/topics and store them in a vector database (like Pinecone). Now, every time the user asks a question, a similarity search is performed to find the most similar PDF topics from the vector database. The selected topic contents are then sent to an LLM (like ChatGPT) along with the question, which generates a contextual answer! Here are some of the best open source implementations for this process: GPT4 & LangChain Chatbot for large PDF docs by Mayo Oshin MultiPDF Chat App by Alejandro AO PDFToChat by Hassan El Mghari Worried about building signups, user management, payments, etc.? Here are my go-to open-source SaaS boilerplates that include everything you need out of the box: SaaS Boilerplate by Remi Wg Open SaaS by wasp-lang A few ideas to stand out from the noise: Here are a few strategies that could help you differentiate and achieve product market fit (based on the pivot principles from The Lean Startup by Eric Ries): Narrow down your target audience for a personalized UX: For instance, an exam prep assistant for students with study notes and quiz generator; or a document due diligence and analysis tool for lawyers. Add unique features to increase switching cost: You could autogenerate APIs for the uploaded PDFs to enable remote integrations (eg. support chatbot knowledge base); or build in workflow automation features for bulk analyses of PDFs. Offer platform level advantages: You could ship a native mobile/desktop apps for a more integrated UX; or (non-trivial) offer private/offline support by replacing the APIs with local open source deployments (eg. llama for LLM, an embedding model from the MTEB list, and FAISS for vector search). TMI? I’m an ex-AI engineer and product lead, so don’t hesitate to reach out with any questions! P.S. I've started a free weekly newsletter to share open-source/turnkey resources behind popular products (like this one). If you’re a founder looking to launch your next product without reinventing the wheel, please subscribe :)

Does anyone else struggle to communicate with Devs as a non tecnical founder/manager?

Hey everyone, I'm an dev agency owner and, honestly, sometimes I feel like I'm speaking a different language when trying to communicate with my development team. It's not just about understanding the technical jargon—they're great at explaining things—but more about converting my ideas and requirements into something actionable and clear for them. I've been thinking a lot about this challenge and wondering if others are in the same boat. Do you ever find yourself struggling to get your thoughts across or worrying that important details might be lost in translation? To tackle this issue, I've been toying with the idea of creating a tool—kind of like Jira, but specifically designed for non-technical folks. The idea is to help bridge the communication gap by making it easier to convert our thoughts into dev-friendly action items using chatGPT. It could offer templates, guided prompts, and maybe even some AI assistance to ensure nothing gets lost in translation. Before I dive too deep into this, I wanted to get a sense from this community: Do you face similar communication challenges with your dev teams? What tools or methods have you found helpful in bridging this gap? Would a tool like the one I'm envisioning be something you'd find valuable? Looking forward to hearing your thoughts and experiences! Thanks,

Solopreneur making $40k MRR with a No Code SaaS sideproject

Hey, I'm Elias and I do case studies analyzing successful startups and solopreneurs. I wanted to share the summarized version of this one with you because this entrepreneurial journey blew my mind. This post will be about FormulaBot (ExcelFormulaBot), an AI No Code SaaS founded by David Bressler back in August 2022. FormulaBot is currently making $40k MRR (monthly recurring revenue). How did the founder come up with the idea. David is a data guy who worked in analytics for several years. In July 2022, David got really interested in AI, especially ChatGPT. One night, he tried it out at home, just like we all did back in the time. But in his case, trying ChatGPT gave him a big idea. That idea ended up making him a lot of money and changing the life of 750 million people who use Excel. That night David started by asking GPT easy questions, then complex ones. Since he used Excel a lot and helped his colleagues with it, he thought about an AI that could make Excel easier, like generating formulas from text. He looked online but found nothing. Seeing a big chance, he decided to do something about it. What challenges did the founder face. But David didn’t have any idea about how to develop an app. However, with no-code tools this is not a problem anymore. He discovered Bubble, a no-code web app tool that could connect with the OpenAI API.After, learning Bubble from YouTube tutorials and through trial and error and spending his nights studying the OpenAI API documentation, he launched the first version of the app in around three weeks. Strategies that made the project successful. David validated his idea by posting about ExcelFormulaBot on a Reddit Excel subreddit, receiving surprising attention with 10,000 upvotes. This encouraged him to offer the tool for free to gather feedback. Facing a hefty $4,999 API bill after the Reddit post, David quickly monetized his product with a subscription-based SaaS website. On launch day, 82 customers signed up, surpassing his expectations. A successful Product Hunt launch followed, generating $2.4k in sales within 24 hours, and a TikTok influencer with 4.5 million followers brought in thousands of new users overnight with a viral video. Marketing approach: -Paid ads: FormulaBot boosted website traffic with Paid Ads, notably on Google Ads, prioritizing Quality Score. This ensured ads aligned better with user searches, maximizing visibility and cost-efficiency, targeting those seeking Excel formula assistance. -SEO: a) Content/Keyword optimization: FormulaBot improved its SEO by making helpful pages about Excel formulas, like guides on topics such as "How to use SUMIFS." b) Site Speed Enhancement: David boosted FormulaBot's marketing site speed by moving it from Bubble to Framer, aiming to improve user experience and SEO performance. c) On-page optimization: David optimized FormulaBot's on-page elements by adjusting title tags, meta descriptions, and content to enhance SEO performance and align with search intent. These strategic refinements aimed to address ranking declines and emphasize FormulaBot's uniqueness, ultimately improving its visibility and competitiveness in search results. -Virality: FormulaBot went viral as users found it highly useful and cool. Influencers on platforms like TikTok and Twitter shared it with their followers because they found it valuable. Offering numerous free features further enhanced its appeal. Lessons: successes and mistakes. ✅ Leverage industry expertise: David identified a problem in analytics and used his experience to start an online business addressing it, turning an industry challenge into a profitable venture. ✅ Embrace learning new skills: Despite lacking initial technical know-how, David learned what he needed to develop the software himself, demonstrating a commitment to continuous learning and adaptability crucial for success. ❌ Minimize dependency on third parties: Relying solely on the ChatGPT API poses risks for FormulaBot. Any issues with the API could disrupt functionality and limit scalability. ⁉️ Caution with free tools: Offering a free tool can attract users and drive viral growth, but converting them to paying customers is challenging. Avoid relying solely on a 100% free model unless your revenue comes from non-user sources like ads. For businesses dependent on user subscriptions or purchases, balancing user attraction with conversion challenges is crucial. How could you replicate this idea step-by-step. To replicate the success of FormulaBot and similar AI wrapper startups, it's crucial to tread carefully in a competitive market. Avoid mere replication of existing solutions unless you can offer something distinct or superior. Consider these steps to effectively develop an AI Wrapper/ChatGPT wrapper product using Bubble as a no-code tool: Design the user interface: Utilize Bubble's drag-and-drop editor to create a user-friendly interface with input fields, buttons, and result displays. Set up workflows: Define workflows to connect the interface with the ChatGPT API, enabling seamless interaction between users and the AI. Integrate the ChatGPT API: Obtain the API key from OpenAI and integrate it into your app using Bubble's API connector feature. Test and gather feedback: Thoroughly test your app, soliciting feedback to refine functionality and usability. Refine and optimize: Continuously improve your app based on user input and testing results to enhance performance and user experience. The in-depth version of the case study was originally posted here. Feel free to comment if you have any questions, and let me know which similar ideas you'd like me to analyze.

I just built footyGPT.com , an AI assistant for football stats, data and data-backed predictions

Hey Amigos! I am based in London and I build lots of fun tools and websites in the sports data space to help sports bettors make better data-driven decisions. One of my recently launched ones is footyGPT.com I have tried to launch this earlier in 2023 but my team were not able to achieve the end goal (I am a non-technical founder) Funny story, I bought the domain footygpt(dot)com back in 2023 and let it expire because i felt like since we weren't able to acheieve the end goal, there was no need to keep the domain. But 2 months ago I started working on it one more time with a different team, and since AI has become "more friendly" than it was early in 2023, it was a much smoother ride and i was so scared someone else had already bought the domain, only to find out it was still available to buy! I was so scared I lost such a clean domain. Below is an example of how footyGPT works: Ask FootyGPT for Predictions for a Given Fixture how footyGPT works \(case study\) Ask FootyGPT to Scrape and Summarize Data from a Stats Website using footyGPT to scrape football stats websites Ask FootyGPT for Sentiments and Online Opinion About a Given Match or Events. ask footygpt for up to date sentiments and opinions about football matches Ask FootyGPT to Find Teams with Certain Streaks, Trends, or Stats https://reddit.com/link/1frdk04/video/9oyaj5ldqjrd1/player If you are into football (soccer) please give it a spin and let me know your thoughts! Cheers Amigos

What are Boilerplates?

What are Boilerplates? Boilerplate originally referred to the rolled steel used to make boilers for steam engines in the 19th century. Over time, the term evolved to describe any standardized piece of text or code that can be reused without significant changes. Interest in SaaS has been on the rise, and many more people now want to build products. However, building products from scratch takes a lot of time, and it can be extremely frustrating. Enter SaaS Boilerplates With the standardization of stacks and basic systems that govern SaaS tools, it has become evident that there was a need, and the time was ripe for SaaS Boilerplates. SaaS Boilerplates come with landing pages, website components, authentication modules, payment modules, and various other standard features that can save developers a significant amount of time and cost. The market is flooded with Boilerplates for various tech stacks, such as NextJS, Laravel, Swift, NuxtJS, and so forth. Pros and Cons of Boilerplates Pros Save a significant amount of time and money Reduce frustration for developers as the redundant tasks are taken care of Boilerplates often follow best practices For anywhere between $49 and $299, they provide terrific value for those looking to build something very quickly Most importantly, Boilerplates also enable aspiring founders and builders with limited technical resources or abilities to ship their products faster and more cheaply. They are beacons of hope for non-technical founders looking to build a product quickly. Cons Limited flexibility May become outdated fairly quickly Setting them up still requires time Similar landing pages and design themes can make the product look like a clone Marc Lou’s Shipfast For most of us, Marc Lou popularized the idea of SaaS Boilerplate. Marc Lou launched Shipfast in August 2023. He had built 27 projects prior to this and Shipfast was nothing but all his basic code organised properly. At that time, there were no solid NextJS boilerplates, and Shipfast just took off. He got traction via Product Hunt, Twitter and Hacker News and soon Shipfast went viral. Shipfast now generates $130K/mo, just 9 months after its launch. Marc has been building Shipfast in public, which has led to a lot of interest in SaaS Boilerplates. The market is now flooded with boilerplates for every major tech stack. Marc reaped the benefits of the first mover’s advantage as well as the social proof via his Shipfast community. I don’t think any other boilerplates are as successful as Shipfast, but there are quite a few good ones out there. Shipixen* has grossed over $20K in the 5 months Makerkit* does \~$3500/mo Moreover, there are many open-source boilerplates available for popular stacks such as NextJS. The Evolution of Boilerplates Boilerplates are quickly turning into no-code/low-code code generation tools. For instance, Shipixen allows you to generate custom code for landing pages, waitlist pages and blogs using a simple User Interface. Boilerplates are perfectly posied to sit between code and no-code. Allow the flexibility of code with the interface of a no-code tool — that will be the core value proposition of SaaS boilerplates. Should you build a Boilerplate? Well, the market is flooded, but I believe there’s still an opportunity to leverage boilerplates. You can build boilerplates for certain types of apps or tools, such as Chrome extensions Boilerplates can act as a great lead funnel for building out a great productized services business No-code/low-code code generation boilerplates can become a big thing if you can help build complex tools Niche tech stack boilerplates may still be lucrative Known strategies for successfully building a boilerplate 👇🏻 Shipfast thrives because of social proof and community SaaSRock generates most of its traffic from its Gumroad listings and blogs Usenextbase and Shipixen are being built in public Many boilerplates start with waitlists They have a very clear value proposition around saving time and cost Design & No-Code Boilerplates Here is the corrected version with improved grammar and clarity: While SaaS (code) boilerplates have become fairly popular, other types of boilerplates are emerging in the market, such as design boilerplates and no-code boilerplates. To be honest, design boilerplates have been around for a while. You will find numerous landing page packs, component libraries, and so forth. Makers are now building kits that leverage standard libraries and technologies such as Tailwind CSS, Daisy UI, and more. Nick Buzz from the famous baked.design has this *50 Landing Page Design Kit* in Tailwind CSS & Figma which is wildly popular. Lastly, there is a trend of no-code boilerplates as well. Mohit is building a Bubble Boilerplate for the popular no-code platform — Bubble. All in all, I think that people want to build products and build them fast. Boilerplates help them save a significant amount of time and cost. More importantly, boilerplates are impulse purchases for people who have not shipped but who want to ship. Introducing BuilderKit.ai We have been building AI SaaS tools for quite a while now. 10+ products across text, image, speech, RAG — we have built em all. We figured that it seems easy but actually building these so called AI Wrappers can be time consuming and frustrating — there is a lot of nuance to it. So we built BuidlerKit.ai — a NextJS SaaS Boilerpalte It takes care of everything from landing pages, authentication, dashboarding, emails, SEO to payments — everything that you need to build your tool. It also comes with 8+ production-ready apps. Moreover, the BuilderKit community is an exclusive community of AI SaaS builders (Pro Only Access) The Pre Orders are now live at https://www.builderkit.ai (First 100 Customers get $100 Off — I think we have already done \~20 odd orders since the announcement yesterday, Grab your seat asap!) Starter Plan $49, Pro Plan @ $99

I am building my agency to help founders build AI startups after 2 successful AI SaaS exits and 4 failures

Hey everyone, I have been building AI products before ChatGPT was launched. In these years, I have managed to launch, scale and exit 2 SaaS products successfully. Today I am launching a new service offering - Query Labs - Helping you build AI agents for your startups. Like all my previous products, I will be building this in public and share my learning along the way. Here's what I have built so far : Microsponsors ( Fail ) My first product ever. I tried to create a marketplace for newsletter writers to find sponsorship opportunity. Got a few very big newsletter listed on the marketplace as well. However, building marketplace is tough. I found it very difficult to bring in sponsors. Ended up shutting it down, AI Query (Exit - Pre revenue ) It was the second half of 2022 and GPT-3 was the most advance AI on the market. I decided to build a tool that can help developers and non-technical folks write SQL queries by just asking in plain english. I got my first taste of success with this. Had a decent offer even before I figured out monetisation. Accepted the offer to focus on my next product which had already started gaining traction AI Excel Bot ( Exit - Revenue Generating ) AI Excel Bot was my wild success. I had worked hard on the SEO for the site, along with the UI / UX to make it the best AI to write excel formulas and general excel task. There was already a large competitor in the market. However, the reality is that you don't need to be the top player. There is always room for multiple players to survive in a large market. You just need to find the good differentiating factor For AI Excel Bot, the differentiator was the chrome extension, that helped users access it anywhere on the internet. Scaled the product to more than 40k users at the time of exit. However, in the end I decided to exit and focus on my software service business that needed more time. Tutore AI ( Fail ) I wanted to build something useful for students to help them learn better. Tutore was my idea to build AI tools for students. I did launch quickly with multiple tools. However, wasn't motivated enough to continue with the grind. I have decided to sell the product. Have had some meetings with potential buyers but didn't agree on price. Prompt Hackers ( 1k users but no revenue ) Prompt Hackers is a directory of AI prompts for all the use cases you can image. I focused a lot on bringing traffic and newsletter subscription from the day 1. I have never had a problem bringing initial set of users to my products. Prompt Hackers was getting close to 20k page views a month. At the same time we had close to 1k newsletter subscribers. Since our target customers were people choosing to use ChatGPT / Bard instead of some specific software for their task, I built a Prompt Generation and Prompt Optimisation AI. Along with this I also created features to build private prompt library. To make the experience even better, I launched a Chrome Extension that helps users access the prompt generation AI and their prompt library while using ChatGPT. However, I couldn't figure out monetisation. I still get close to 4k page views per month with no marketing at all. There are users who use the AI tools and the prompt library feature daily. But, since I couldn't figure out monetisation, I decided to not put time into the project. There you go. These are all the products I have built in the last 3 years. I have been heavy investing myself in the latest tech in LLMs and AI agents. I know the biggest challenge for AI founders is the AI agents and backend pipelines. That's why I am launching Query Labs. To help you build the best AI implementation for your innovative AI startup. I would love to hear feedback from the community. I will be sharing my learning with my new service along the way. Thanks!

Running and selling multiple side projects alongside a 9-5

My current side project started 56 days ago when I started writing 1,000 words per day. My core businesses are an agency and job board, and I just needed a creative outlet. The likes of Chris Guillebeau and Nathan Barry attribute their progression to writing so I thought I’d see if it might do the same for me. At first I was just vomiting words onto the screen, I made a blog and wrote mainly technical guides related to my skills. Over time I realised I was writing more and more about running a business as a solopreneur, or lean operator. There is tons of content out there giving you the Birds Eye of going from 0 to £10m. Inspiring stuff, but I think there is a void in real content, explaining the nuts and bolts of the how.  What is the day-to-day like for the solopreneurs who make a good living and have plenty of free time? That’s what I’m striving for anyway. I’m not talking about the 7-figure outliers. Or the ones teaching you to make content so you can have a business teaching others how to make content, and so on. I’m also sick of the ‘I made $X in 5 minutes and how you can too’  So, I started chatting to people in my network who run lean businesses and/or side hustles. I ask them a bit about their journey and ask them to teach something - how they operate, or a skill/process/system/tool that other people like you/me will find useful. One of my first chats was with Sam Dickie, who runs multiple side projects so thought I’d share here, see if others find it useful and get some feedback. I’ve removed all links as I’ve never posted on Reddit before so conscious of not being promotional, I’m posting this stuff to a tiny email list of friends with no upsells. Just finding my feet on whether others find it useful or not: — Sam is a serial entrepreneur who builds projects in his spare time whilst working a 9-5. He’s scaled and sold multiple ventures and currently runs one of the best newsletters out there for builders and entrepreneurs. Building audience through newsletters has always been a cornerstone strategy for him, so, along with sharing his advice on solopreneurism, he’s also generously shared his lean newsletter writing process. About Sam Sam is a Senior Product Manager who has spent the last 15 years working in the tech sector after starting his career as a town planner. In addition to his job he spends some of his spare time building side projects. These have included a 3D printing startup, a tech directory, a newsletter, a beta product directory, and consultancy. Sam is the epitome of making a success out of following your interest and curiosity. It’s clear he enjoys his business ventures and builds in a risk-free way.   It’s often touted by business gurus to avoid building around your interests, but Sam bucks the trend successfully. I think he’s someone who has already found his 1,000 true fans.  Descending rabbit holes, Sam’s journey of invention and curation 3D printing Sam’s first foray into launching a startup was with Fiilo, a 3D printing business. This was at the height of the 3D printing craze and he self-admits that he used the launch as an excuse to buy a 3D printer. He ended up with two and launching a product called GrowGo. GrowGo is a sustainable 3D-printed product that turns any bottle into somewhere that you can grow plants and herbs. He eventually sold this business and the printers, making around £10k. Along the way, he was exposed to various business tasks, including building a website in Weebly, the biggest nocode website builder of the time, and built an API that enabled print on demand for his product. NoCode.Tech The experiences of building as someone non-technical led to numerous friends asking how he built all of this tech. Back then, nocode wasn’t popular, and it had almost zero search volume, so Sam created a basic directory. A quick landing page on Weebly with a basic value prop, a short explanation and a list of the tools he had used before. It hit the top spot on Product Hunt, and he landed 2,000 subscribers in the first 48 hours. But, he hadn’t built it at this point, so he set about getting to work. He built the directory and list to 30,000 subs and monetised the site through advertising. At its peak with Sam, it was receiving about £2,000 per month in ad revenue. He was still working his 9-5 at this point, so thought it might be a good time to exit. The site was still growing, but it was becoming anxiety inducing whilst he was still working full-time. So, he ended up selling the site and making friend’s with the buyer. Fast forwarding a bit, Nocode.tech was eventually acquired by Stackr, a nocode app. Sam was working for their competitor at the time and ended up being offered a job by his friend who acquired the site. All of this from a side project in his area of passion. Creator Club After selling the directory, Sam lost his outlet for sharing his tools and learnings.  Being fascinated with curation and loving sifting through for nuggets, he invested more time into his personal website and launched Creator Club newsletter. Sam writes monthly and currently has over 8,000 subs. It’s one of the few newsletters that I let bypass my email filters and land in my main inbox. Life as a Part-Time Multipreneur Side Hustler If it’s not obvious already Sam is a curiosity led business creator. He’s found that the products without a revenue focus or intention have ironically outperformed those created for the sole purpose of creating money. He enjoys working on his side hustles. He could have run the Nocode.Tech for 10 more years and wouldn’t have tired of it as it’s a byproduct of his interest. For this reason, he has also created the Beta Directory, simply because he loves unearthing early-stage products. He admits he gets the fear when he thinks about quitting his 9-5, although he suspects if he devoted the same energy to one of his projects it could replace his income (no doubts from me here). This same fear means that he can run his ventures with less fear. This way, he can experiment with freedom and isn’t risking the ranch with a young family to consider. For example, recently he stopped paid sponsors on his newsletter as it was more stress than the value of the income to him. Sam divides his time on evenings and weekends (unequally) between the following: Creator Club Validation Co Beta directory Consultancy The pure side hustle status magnifies the need to run lean, let’s jump into his process…. Sam’s lean newsletter curation and creation process Starting out publishing his personal newsletter Going against his expertise, Sam originally over-engineered his process.  He curated with Feedly and tried to automate the full writing process with Zapier. The trouble is that there are too many points of failure which can lead the whole  chain to break down, and you spend more time fixing the system. For a 200 subscriber newsletter, he needed to pare things back. His set-up now Sam scaled back and now simple builds automations when he needs them. He keeps the process simple, right down to the design and any welcome automations. Keeping things real We touched on the trend that keeping things raw is better. Content has come full circle with the advent of AI. Everything looks too perfect and consequently, people’s tastes are changing. Sam mentioned watermarks that show content isn’t AI written, and we referenced content such as Greg Isenberg’s sketches, and Chris Donnelly’s image posts. \\Step by Step Process:\\ Using Stoop Inbox to manage sources Curation with Pocket Managing content with Airtable and Zapier Using Bearly to summarise Substack for writing Monitoring content sources Sam uses Stoop Inbox, an RSS curation tool, to manage his content sources. It gives him a dedicated email address for newsletters and he follows an Inbox Zero methodology. He checks in daily in Stoop, and on X, Reddit and IndieHackers. With X, he just uses the standard interface but has been careful to curate his feed, sometimes adding in extra notifications to hear from interesting people. Highlighting content When curating links, Sam uses Arc browser and the Pocket extension to save links. It’s super simple and lightweight. He creates tags which trigger an automation that curates the link to Airtable. If you watch the video, here’s a shoutout to Alice, the AI interface I use which has recently featured on Product Hunt. It’s a fantastic tool with bags of potential to enhance a solopreneur’s life. Ranking and sorting content He sends the links indexed using Pocket to a basic Airtable base via Zapier. From there, he grades the content and sets aside some time to read it in more depth. Pocket pulls through the title, metadata, and URL link. Review Sam does this manually but has used a tool as a shortcut for digesting long form content — Bearly.ai. Bearly.ai was created by Trung Phan and linking back to raw content, Trung is 1/3 of the hosts on the Not Investment Advice podcast. Its irreverent style and thumbnail are an example of a successful podcast that doesn’t over polish. Writing it all up Being a huge Notion fan (check out the free templates on his site), Sam originally used Notion for writing and linked it into Revue. When Elon sunsetted Revue, he switched to Substack. He loves the Substack interface so drafts in Substack based on a duplication of last month’s edition. Before publishing, Sam runs through a 10-point Notion checklist, which he shared with me. Parting Advice Keep your tool stack as lean as possible. Avoid tool switching to the shiny new object. Getting launched quickly is key. Don’t think that you have to be everywhere for distribution, Sam sticks with what he knows on X and LinkedIn. Overall, he advises just keeping things simple and therefore minimising risk. Resources He says they’re cliche, but I don’t agree; they’re timeless. Paul Graham of Y Combinator is someone Sam recommends following. He doesn’t write much, which is great as Sam gets anxiety when someone good often writes and he can’t keep up with the writing. His content is well thought out and distills complex concepts in entrepreneurship and startups. In addition, Sam loves Naval Ravikant’s approach. He mentions checking out the Almanac of Naval Ravikant for collected wisdom. Follow Sam’s Journey Again, not going to link here but you can find Sam’s stuff easily enough if you want to. His personal website is beautiful and contains loads of free downloads. He has also curated personal websites he admires if you need some inspiration. Sam is a super nice guy so reach out to him, I did before I started my personal blog recently, and he gave me some great advice. Also, worth keeping an eye on Validation Co, where he aims to help early-stage makers and creators validate their ideas. He’s building super slow — trying to enjoy the process without unachievable deadlines. Maintaining his stamina and passion. Amazing, I hope he writes more about that soon! -- That’s my second shot at an interview, hope you enjoyed it and found something useful in it. I’m talking to a marketplace founder who spends 2–3 hours per month his project, a multiple job board owner with a 9-5 and a leading book designer next. As this is my side project, should I keep going?

Things I did to promote my product, and how they turned out

(I will share more updates in the future, you can find me on Twitter and/or Mastodon) Ask any ten indie developers about the toughest part of their job, and nine will likely say "marketing." I recently got a taste of this firsthand when I launched Xylect. Here's a rundown of my promotional attempts - hopefully, my experiences can help fellow developers out there. Podcast Community (✅ Success) I kicked things off by promoting Xylect in my podcast listener group. It wasn't a blockbuster, but I managed to sell a few copies and got some invaluable feedback from friends. Shoutout to those early supporters! Reddit r/macapps (✅ Success) Having had some luck promoting open-source projects on Reddit before, I decided to make r/macapps my first stop in the English-speaking world. I made an app to help you automate boring tasks with one click This post turned out to be a hit! I sold about ten copies and got a ton of useful feedback. Users pointed out compatibility issues with PopClip and suggested improvements for the website. One Italian user even requested localization, which I happily added. https://preview.redd.it/y4fuwh6hleqd1.png?width=959&format=png&auto=webp&s=7bb1b68cbf8a4f94998999e0832b9b7bd85bac67 https://preview.redd.it/8uu4cmyhleqd1.png?width=683&format=png&auto=webp&s=8f1744636aee8074b0e7491a334ef06076b143b0 I also got an intriguing email from a French user - more on that later. More Reddit Posts (❌ Failure) Riding high on my r/macapps success, I branched out to r/SideProject, r/Entrepreneur, and r/indiehackers. These subreddits frown upon direct self-promotion, so I took a softer approach with an article: The unexpected emotional cost of being an indiehacker While the article was heartfelt, it fell flat. Across all three posts, I got a grand total of three comments - two of which were complaints about the font size on mobile. Needless to say, I didn't sell a single copy. Hacker News (❌ Failure) As one of the tech world's major forums, I had to give Hacker News a shot. I wasn't too optimistic, given my past experiences there. Posting on HN feels like a mix of luck and dark magic. As expected, my post vanished without a trace - no comments, no sales. I might give it another go someday. If you're curious, you can check out my previous HN submissions. Tools Directory Websites (❌ Failure) These sites have a simple premise: you list your app, they display it. Seemed like an easy way to get some backlinks, right? Well, I learned the hard way that it's not that simple. I stumbled upon a Reddit post where someone claimed to have made a killing with their directory site in just a few days. The catch? Each listing cost $19. The site had a handful of apps listed, so I thought, "Why not? Early bird gets the worm." I paid up and listed Xylect. Spoiler alert: all I got was $19 poorer 🥲 Lesson learned: These directory sites won't magically sell your product. At best, they're just glorified backlinks. There might be some value in paid promotions on these platforms, but I can't speak to that from experience. V2EX (❌ Failure) After striking out in the English-speaking world, I turned my attention to the Chinese market, starting with V2EX (think of it as China's hybrid of HN and Reddit). This turned out to be my most unexpected flop. Here's the post: [\[Launch Discount\] Mac's most powerful AI search (Perplexity + Wikipedia + Google), boost your efficiency tenfold with one click. No API key required, no prompt needed, no token limit 🔥 - V2EX](https://www.v2ex.com/t/1064930?p=1#reply36) I'd seen decent engagement on other promo posts, so I had high hopes. I posted late at night (US time) and went to bed dreaming of waking up to a flood of comments. Reality check: The next morning, I had exactly one reply - from Kilerd, a loyal podcast listener showing some love. I was baffled. After re-reading my post, I realized I'd missed a crucial element: promo codes. A quick scan of popular posts confirmed my suspicion. Nearly every successful promo post was offering codes, and most comments were just base64-encoded email addresses. Talk about a facepalm moment. I scrambled to add a note about an upcoming free trial and invited users to drop their emails. This got the ball rolling with some code requests, but by then, the damage was done. The post fizzled out, and I didn't sell a single copy 🫠 A French Friend's Newsletter (✅ Success) At this point, my promotional efforts were looking pretty grim. My sales chart had a depressing stretch of flatline. But then, a glimmer of hope appeared in my inbox. Remember that French user I mentioned earlier? He ran a newsletter called vvmac and offered to feature Xylect if I added French support and sent him a free license. It was an offer I couldn't refuse. What followed was a crash course in French localization (thank you, Claude!) and the start of an incredible partnership. This guy was the most thorough beta tester I've ever encountered. We exchanged over sixty emails, covering everything from translations to UI tweaks to bug fixes. His response time was lightning-fast - I'd fix a bug, and five minutes later, he'd confirm it was sorted. The result? A much-improved Xylect and a glowing feature in his newsletter. https://preview.redd.it/ylcq2wxoleqd1.png?width=991&format=png&auto=webp&s=ee395110f50417d5c7f61318f27bf3dc30247809 I'm still in awe of his dedication. He single-handedly transformed Xylect from a buggy mess into a polished product. I'll be forever grateful for his help. The newsletter feature led to a few more sales, but honestly, that felt like a bonus at that point. Influencers (❌ Failure) I knew from the start that to really make waves, I'd need influencer backing. So, I added a note offering free licenses to content creators willing to collaborate. https://preview.redd.it/tyb2m1rqleqd1.png?width=799&format=png&auto=webp&s=56eabf126e772515322595613c546e6ba69fb431 I did get one taker: Hey, I'll be honest, I am not a huge content creator but I think I put a lot of effort in evaluating and figuring out which apps work... So I was wondering if I could get a license in case you are willing to share it. Thank you for considering. Have a great weekend. But I knew I needed to aim higher. With the new French localization, I thought I'd try my luck with some French-speaking Mac YouTubers. I crafted emails highlighting how Xylect could help their French audience with English content. https://preview.redd.it/07oqzemrleqd1.png?width=542&format=png&auto=webp&s=3d160c1d149f28e9029816a277c6ab2496fcd57e After days of silence, I got one reply. It was... not what I was hoping for: Hi, Thank you for your proposal. I can help you to promote your service on Tiktok, Instagram et YouTube, with unique short video. Price for this project is 3500€. Unless I've completely lost my marbles, there's no way I'm dropping 3500€ on promotion. Sure, given their follower count (YouTube: 348K, TikTok: 2.7M, Instagram: 400K), it's not an outrageous ask. For some products, it might even be worth it. But for Xylect? No way. I also reached out to a Chinese influencer on Xiaohongshu, but they weren't interested. Back to the drawing board. Conclusion If you've made it this far, you've probably realized this isn't exactly a success story. My search for effective promotional channels came up largely empty-handed. I'd naively thought that my success with open-source projects would translate seamlessly to the indie dev world. Boy, was I wrong. As I mentioned in my previous article, open-source projects create a dynamic where users feel indebted to developers for their free labor. But in the commercial world of indie development, that dynamic completely flips. While this experience was often frustrating, it was also enlightening - which was kind of the point. As my first foray into indie development, my main goal was to learn the ropes and understand the process. Making money would've been nice, sure, but it wasn't my primary focus. Thanks for sticking with me through this post. I will share more updates in the future, you can follow me on  Twitter and/or Mastodon.

I built a free LinkedIn planning tool with integrated GPT-4

Last week I launched my product scribery.eu after building it over the the last 2 months on my own. For that, I used LowCode-Tools like FlutterFlow, Stripe or Firebase, because for me it was the only way to publish it without security risks and having a release date in this year. The main feature is to creating LinkedIn posts with help of AI (GPT-4) and schedule them. In 5 minutes, I scheduled 10 posts for the next 4 weeks! This is an absolute time saver for every entrepreneur who’s not having enough time to advertise their product over LinkedIn. I would be very happy, if you would test my product for free with the code Reddit2024 Normally the one-time-payment is 49€ for Premium, but with the code above you get Premium for free. Comment to learn more about me and scribery scribery in action!