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[CASE STUDY] From 217/m to $2,836/m in 9 months - Sold for $59,000; I grow and monetise web traffic of 5, 6, 7 figures USD valued passive income content sites [AMA]
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jamesackerman1234This week

[CASE STUDY] From 217/m to $2,836/m in 9 months - Sold for $59,000; I grow and monetise web traffic of 5, 6, 7 figures USD valued passive income content sites [AMA]

Hello Everyone (VERY LONG CASE STUDY AHEAD) - 355% return in 9 months Note: I own a 7-figures USD valued portfolio of 41+ content sites that generates 5-6 figures USD a month in passive income. This is my first time posting in this sub and my goal is to NOT share generic advice but precise numbers, data and highly refined processes so you can also get started with this business yourself or if you already have an existing business, drive huge traffic to it and scale it substantially (get more customers). I will use a case study to explain the whole process. As most of us are entrepreneurs here, explaining an actual project would be more meaningful. In this case study I used AI assisted content to grow an existing site from $217/m to $2,836/m in 9 months (NO BACKLINKS) and sold it for $59,000. ROI of 3 months: 355% Previous case studies (before I give an overview of the model) Amazon Affiliate Content Site: $371/m to $19,263/m in 14 MONTHS - $900K CASE STUDY \[AMA\] Affiliate Website from $267/m to $21,853/m in 19 months (CASE STUDY - Amazon?) \[AMA\] Amazon Affiliate Website from $0 to $7,786/month in 11 months Amazon Affiliate Site from $118/m to $3,103/m in 8 MONTHS (SOLD it for $62,000+) Note: You can check pinned posts on my profile. Do go through the comments as well as a lot of questions are answered in those. However, if you still have any questions, feel free to reach out. This is an \[AMA\]. Quick Overview of the Model Approach: High traffic, niche specific, informative content websites that monetise its traffic through highly automated methods like display ads and affiliate. The same model can be applied to existing businesses to drive traffic and get customers. Main idea: Make passive income in a highly automated way Easy to understand analogy You have real estate (here you have digital asset like a website) You get rental income (here you get ads and affiliate income with no physical hassle, in case you have a business like service, product etc. then you can get customers for that too but if not, it's alright) Real estate has value (this digital asset also has value that can be appreciated with less effort) Real estate can be sold (this can be sold too but faster) IMPORTANT NOTE: Search traffic is the BEST way to reach HUGE target audience and it's important when it comes to scaling. This essentially means that you can either monetise that via affiliate, display etc. or if you have a business then you can reach a bigger audience to scale. Overview of this website's valuation (then and now: Oct. 2022 and June 2023) Oct 2022: $217/m Valuation: $5,750.5 (26.5x) - set it the same as the multiple it was sold for June 2023: $2,836/m Traffic and revenue trend: growing fast Last 3 months avg: $2,223 Valuation now: $59,000 (26.5x) Description: The domain was registered in 2016, it grew and then the project was left unattended. I decided to grow it again using properly planned AI assisted content. Backlink profile: 500+ Referring domains (Ahrefs). Backlinks mean the sites linking back to you. This is important when it comes to ranking. Summary of Results of This Website - Before and After Note: If the terms seem technical, do not worry. I will explain them in detail later. Still if you have any questions. Feel free to comment or reach out. |Metric|Oct 2022|June 2023|Difference|Comments| |:-|:-|:-|:-|:-| |Articles|314|804|\+490|AI Assisted content published in 3 months| |Traffic|9,394|31,972|\+22,578|Organic| |Revenue|$217|$2,836|\+$2,619|Multiple sources| |RPM (revenue/1000 web traffic)|23.09|$88.7|\+$65.61|Result of Conversion rate optimisation (CRO). You make changes to the site for better conversions| |EEAT (expertise, experience, authority and trust of website)|2 main authors|8 authors|6|Tables, video ads and 11 other fixations| |CRO|Nothing|Tables, video ads |Tables, video ads and 11 other fixations || ​ Month by Month Growth |Month|Revenue|Steps| |:-|:-|:-| |Sept 2022|NA|Content Plan| |Oct 2022|$217|Content Production| |Nov 2022|$243|Content production + EEAT authors| |Dec 2022|$320|Content production + EEAT authors| |Jan 2023|$400|Monitoring| |Feb 2023|$223|Content production + EEAT authors| |Mar 2023|$2,128|CRO & Fixations| |April 2023|$1,609|CRO & Fixations| |May 2023|$2,223|Content production + EEAT authors| |June 2023|$2,836|CRO and Fixations| |Total|$10,199|| ​ What will I share Content plan and Website structure Content Writing Content Uploading, formatting and onsite SEO Faster indexing Conversion rate optimisation Guest Posting EEAT (Experience, Expertise, Authority, Trust) Costing ROI The plans moving forward with these sites ​ Website Structure and Content Plan This is probably the most important important part of the whole process. The team spends around a month just to get this right. It's like defining the direction of the project. Description: Complete blueprint of the site's structure in terms of organisation of categories, subcategories and sorting of articles in each one of them. It also includes the essential pages. The sorted articles target main keyword, relevant entities and similar keywords. This has to be highly data driven and we look at over 100 variables just to get it right. It's like beating Google's algorithm to ensure you have a blueprint for a site that will rank. It needs to be done right. If there is a mistake, then even if you do everything right - it's not going to work out and after 8-16 months you will realise that everything went to waste. Process For this project, we had a niche selected already so we didn't need to do a lot of research pertaining to that. We also knew the topic since the website was already getting good traffic on that. We just validated from Ahrefs, SEMRUSH and manual analysis if it would be worth it to move forward with that topic. ​ Find entities related to the topic: We used Ahrefs and InLinks to get an idea about the related entities (topics) to create a proper topical relevance. In order to be certain and have a better idea, we used ChatGPT to find relevant entities as well \> Ahrefs (tool): Enter main keyword in keywords explorer. Check the left pain for popular topics \> Inlinks (tool): Enter the main keyword, check the entity maps \> ChatGPT (tool): Ask it to list down the most important and relevant entities in order of their priority Based on this info, you can map out the most relevant topics that are semantically associated to your main topic Sorting the entities in topics (categories) and subtopics (subcategories): Based on the information above, cluster them properly. The most relevant ones must be grouped together. Each group must be sorted into its relevant category. \> Example: Site about cycling. \> Categories/entities: bicycles, gear and equipment, techniques, safety, routes etc. \> The subcategories/subentities for let's say "techniques" would be: Bike handling, pedaling, drafting etc. Extract keywords for each subcategory/subentity: You can do this using Ahrefs or Semrush. Each keyword would be an article. Ensure that you target the similar keywords in one article. For example: how to ride a bicycle and how can I ride a bicycle will be targeted by one article. Make the more important keyword in terms of volume and difficulty as the main keyword and the other one(s) as secondary Define main focus vs secondary focus: Out of all these categories/entities - there will be one that you would want to dominate in every way. So, focus on just that in the start. This will be your main focus. Try to answer ALL the questions pertaining to that. You can extract the questions using Ahrefs. \> Ahrefs > keywords explorer \> enter keyword \> Questions \> Download the list and cluster the similar ones. This will populate your main focus category/entity and will drive most of the traffic. Now, you need to write in other categories/subentities as well. This is not just important, but crucial to complete the topical map loop. In simple words, if you do this Google sees you as a comprehensive source on the topic - otherwise, it ignores you and you don't get ranked Define the URLs End result: List of all the entities and sub-entities about the main site topic in the form of categories and subcategories respectively. A complete list of ALL the questions about the main focus and at around 10 questions for each one of the subcategories/subentities that are the secondary focus Content Writing So, now that there's a plan. Content needs to be produced. Pick out a keyword (which is going to be a question) and... Answer the question Write about 5 relevant entities Answer 10 relevant questions Write a conclusion Keep the format the same for all the articles. Content Uploading, formatting and onsite SEO Ensure the following is taken care of: H1 Permalink H2s H3s Lists Tables Meta description Socials description Featured image 2 images in text \\Schema Relevant YouTube video (if there is) Note: There are other pointers link internal linking in a semantically relevant way but this should be good to start with. Faster Indexing Indexing means Google has read your page. Ranking only after this step has been done. Otherwise, you can't rank if Google hasn't read the page. Naturally, this is a slow process. But, we expedite it in multiple ways. You can use RankMath to quickly index the content. Since, there are a lot of bulk pages you need a reliable method. Now, this method isn't perfect. But, it's better than most. Use Google Indexing API and developers tools to get indexed. Rank Math plugin is used. I don't want to bore you and write the process here. But, a simple Google search can help you set everything up. Additionally, whenever you post something - there will be an option to INDEX NOW. Just press that and it would be indexed quite fast. Conversion rate optimisation Once you get traffic, try adding tables right after the introduction of an article. These tables would feature a relevant product on Amazon. This step alone increased our earnings significantly. Even though the content is informational and NOT review. This still worked like a charm. Try checking out the top pages every single day in Google analytics and add the table to each one of them. Moreover, we used EZOIC video ads as well. That increased the RPM significantly as well. Both of these steps are highly recommended. Overall, we implemented over 11 fixations but these two contribute the most towards increasing the RPM so I would suggest you stick to these two in the start. Guest Posting We made additional income by selling links on the site as well. However, we were VERY careful about who we offered a backlink to. We didn't entertain any objectionable links. Moreover, we didn't actively reach out to anyone. We had a professional email clearly stated on the website and a particularly designated page for "editorial guidelines" A lot of people reached out to us because of that. As a matter of fact, the guy who bought the website is in the link selling business and plans to use the site primarily for selling links. According to him, he can easily make $4000+ from that alone. Just by replying to the prospects who reached out to us. We didn't allow a lot of people to be published on the site due to strict quality control. However, the new owner is willing to be lenient and cash it out. EEAT (Experience, Expertise, Authority, Trust) This is an important ranking factor. You need to prove on the site that your site has authors that are experienced, have expertise, authority and trust. A lot of people were reaching out to publish on our site and among them were a few established authors as well. We let them publish on our site for free, added them on our official team, connected their socials and shared them on all our socials. In return, we wanted them to write 3 articles each for us and share everything on all the social profiles. You can refer to the tables I shared above to check out the months it was implemented. We added a total of 6 writers (credible authors). Their articles were featured on the homepage and so were their profiles. Costing Well, we already had the site and the backlinks on it. Referring domains (backlinks) were already 500+. We just needed to focus on smart content and content. Here is the summary of the costs involved. Articles: 490 Avg word count per article: 1500 Total words: 735,000 (approximately) Cost per word: 2 cents (includes research, entities, production, quality assurance, uploading, formatting, adding images, featured image, alt texts, onsite SEO, publishing/scheduling etc.) Total: $14,700 ROI (Return on investment) Earning: Oct 22 - June 23 Earnings: $10,199 Sold for: $59,000 Total: $69,199 Expenses: Content: $14,700 Misc (hosting and others): $500 Total: $15,200 ROI over a 9 months period: 355.25% The plans moving forward This website was a part of a research and development experiment we did. With AI, we wanted to test new waters and transition more towards automation. Ideally, we want to use ChatGPT or some other API to produce these articles and bulk publish on the site. The costs with this approach are going to be much lower and the ROI is much more impressive. It's not the the 7-figures projects I created earlier (as you may have checked the older case studies on my profile), but it's highly scalable. We plan to refine this model even further, test more and automate everything completely to bring down our costs significantly. Once we have a model, we are going to scale it to 100s of sites. The process of my existing 7-figures websites portfolio was quite similar. I tested out a few sites, refined the model and scaled it to over 41 sites. Now, the fundamentals are the same however, we are using AI in a smarter way to do the same but at a lower cost, with a smaller team and much better returns. The best thing in my opinion is to run numerous experiments now. Our experimentation was slowed down a lot in the past since we couldn't write using AI but now it's much faster. The costs are 3-6 times lower so when it used to take $50-100k to start, grow and sell a site. Now you can pump 3-6 more sites for the same budget. This is a good news for existing business owners as well who want to grow their brand. Anyway, I am excited to see the results of more sites. In the meantime, if you have any questions - feel free to let me know. Best of luck for everything. Feel free to ask questions. I'd be happy to help. This is an AMA.

boring passive site... now 42k monthly visitors and $2540 MRR
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Human Vibe Score1
TasAdamsThis week

boring passive site... now 42k monthly visitors and $2540 MRR

people underestimate SEO... It is evergreen... passive... digital real estate. it can do magic... if you are consistent. Especially now with AI you can 2X your traffic growth and automate 85% of the work. For the past 6 months... we've been building an online directory. we just reached $2540 MRR... with SEO only... from a complete zero. I did share this on other subreddits. Maybe this gives ideas to someone. \+ This can be easily replicated if you have a website lol Current metrics: $2540 MRR - businesses pay us to list on the directory + display ads + pay to be featured. 43k monthly visitors - in the past couple of weeks our SEO growth is a hockey stick. DR (Domain Rating) 35 - it took us 2.5 months to get to that. 51 okay-ish quality referring domains (90% of them are do-follow) and 1.6k backlinks. There are probably 3 main pillars I try to focus on: keywords --> which then is the basis for ALL the content pieces we do blogs, landing pages, about us pages, competitor comparisons etc --> we use a DIY excel file to automate content production at scale. backlinks --> boost DR --> one of the main things to boost ranking on google. website health --> this is technical stuff like internal and external linking, schemas, canonical tags, alt texts, load speeds, compressed images, meta descriptions, titles etc --> do this once... and do it GOOD. $0.07 per SEO optimised blog at scale with AI Yep... we've literally built our own SEO blog tool... and it is a Spreadsheet with bunch of app scripts :D NOTE that we add a little bit of human touch to those blogs that are picked up by Google rank top in 25 How it works... is that we paste in bunch of links (other websites, blogs, news articles) and with a click of a button we can get up to 2000 SEO optimised content pieces... from an Excel file... $0.07 per blog. The spreadsheet is integrated with Chat gpt (obviously). We use GPT-4 for meta descriptions, titles, transforming the content from text to html code since it is more powerful, and GPT-4o for content itself because it is cheaper and faster for "general text". The spreadsheet repurposes content. The spreadsheet generates: Meta descriptions and titles FAQs sections - DON'T skip FAQ sections! They are a must for SEO. On Ahrefs... there is a section of questions people are searching about your keyword... that's your FAQs It can find contextual youtube videos (links to those videos) - to show google that our content is not "just text" thus higher quality. Screenshots and images of the original source (the website link we inputed) I then download a csv version of the excel and import it into our Webflow. The csv file column names match our webflow CMS field names. tbh... we didn't even know that it can be done with a spreadsheet. We "tried" building it because every other tool we were using is (1) expensive from $0.59 per SEO content piece (2) they didn't provide the scale we wanted (3) we wanted more control over the output. Focus on DR 35+ backlinks... easier We bought backlinks only once... rest of the backlinks was a manual work from us. Bunch of free listing databases (about 65% of our backlinks) You can comment on open forums with your link to get a backlink (be careful tho) Post a blog on Medium com --> DR 94 backlink (takes time to Index) If you pay for Notion you can get a DR 94 backlink from Notion If you use Beehiiv you can get a DR 86 backlink from Beehiiv Google product stacking (Google sites, Google notes etc) --> backlink from almighty Google itself A lot of work goes into backlinks because they are THAT important. I have tried bunch of "black hat" strategies as well... but note that all of these strategies won't work if you don't index the primary source from where your backlink is coming from. BIG search volume and low KD Key things I'm looking for in keywords: I use Ahrefs Keyword research tool... it is literally free BIG search volume - 2k+ is oaky-ish for a single keyword EASY to rank - KD (keyword difficulty) below 15 Look for long tail keywords (these are golden nuggets since they have a VERY clear search intent) - "how to edit..." "how to change..." "how to delete..." "how to paint..." I hope you got the idea. on Ahrefs you can use "\" to get BIG volume long tail keywords... like this "my keyword\". Ahrefs then populates the "\" with the tail. Check SERP (Search Engine Result Page) for your keywords - it shows current top 10 pages for those KWs. Check their content. Can you improve it? Have they missed anything? Keyword gap from your competitors - shows EASY keywords that your competitors have missed and also shows what keywords overlap with you. Also one cool thing... if you don't type any keywords on Ahrefs and press "Enter"... you can browse all the keywords out there... it is magical. Once we have the keywords, we run our spreadsheet. And that's pretty much it. I hope that you can get some ideas from this little silly project. Also... if you have any questions about this... I might share the SEO blog automation excel file/help if people are interested...

[CASE STUDY] From 217/m to $2,836/m in 9 months - Sold for $59,000; I grow and monetise web traffic of 5, 6, 7 figures USD valued passive income content sites [AMA]
reddit
LLM Vibe Score0
Human Vibe Score1
jamesackerman1234This week

[CASE STUDY] From 217/m to $2,836/m in 9 months - Sold for $59,000; I grow and monetise web traffic of 5, 6, 7 figures USD valued passive income content sites [AMA]

Hello Everyone (VERY LONG CASE STUDY AHEAD) - 355% return in 9 months Note: I own a 7-figures USD valued portfolio of 41+ content sites that generates 5-6 figures USD a month in passive income. This is my first time posting in this sub and my goal is to NOT share generic advice but precise numbers, data and highly refined processes so you can also get started with this business yourself or if you already have an existing business, drive huge traffic to it and scale it substantially (get more customers). I will use a case study to explain the whole process. As most of us are entrepreneurs here, explaining an actual project would be more meaningful. In this case study I used AI assisted content to grow an existing site from $217/m to $2,836/m in 9 months (NO BACKLINKS) and sold it for $59,000. ROI of 3 months: 355% Previous case studies (before I give an overview of the model) Amazon Affiliate Content Site: $371/m to $19,263/m in 14 MONTHS - $900K CASE STUDY \[AMA\] Affiliate Website from $267/m to $21,853/m in 19 months (CASE STUDY - Amazon?) \[AMA\] Amazon Affiliate Website from $0 to $7,786/month in 11 months Amazon Affiliate Site from $118/m to $3,103/m in 8 MONTHS (SOLD it for $62,000+) Note: You can check pinned posts on my profile. Do go through the comments as well as a lot of questions are answered in those. However, if you still have any questions, feel free to reach out. This is an \[AMA\]. Quick Overview of the Model Approach: High traffic, niche specific, informative content websites that monetise its traffic through highly automated methods like display ads and affiliate. The same model can be applied to existing businesses to drive traffic and get customers. Main idea: Make passive income in a highly automated way Easy to understand analogy You have real estate (here you have digital asset like a website) You get rental income (here you get ads and affiliate income with no physical hassle, in case you have a business like service, product etc. then you can get customers for that too but if not, it's alright) Real estate has value (this digital asset also has value that can be appreciated with less effort) Real estate can be sold (this can be sold too but faster) IMPORTANT NOTE: Search traffic is the BEST way to reach HUGE target audience and it's important when it comes to scaling. This essentially means that you can either monetise that via affiliate, display etc. or if you have a business then you can reach a bigger audience to scale. Overview of this website's valuation (then and now: Oct. 2022 and June 2023) Oct 2022: $217/m Valuation: $5,750.5 (26.5x) - set it the same as the multiple it was sold for June 2023: $2,836/m Traffic and revenue trend: growing fast Last 3 months avg: $2,223 Valuation now: $59,000 (26.5x) Description: The domain was registered in 2016, it grew and then the project was left unattended. I decided to grow it again using properly planned AI assisted content. Backlink profile: 500+ Referring domains (Ahrefs). Backlinks mean the sites linking back to you. This is important when it comes to ranking. Summary of Results of This Website - Before and After Note: If the terms seem technical, do not worry. I will explain them in detail later. Still if you have any questions. Feel free to comment or reach out. |Metric|Oct 2022|June 2023|Difference|Comments| |:-|:-|:-|:-|:-| |Articles|314|804|\+490|AI Assisted content published in 3 months| |Traffic|9,394|31,972|\+22,578|Organic| |Revenue|$217|$2,836|\+$2,619|Multiple sources| |RPM (revenue/1000 web traffic)|23.09|$88.7|\+$65.61|Result of Conversion rate optimisation (CRO). You make changes to the site for better conversions| |EEAT (expertise, experience, authority and trust of website)|2 main authors|8 authors|6|Tables, video ads and 11 other fixations| |CRO|Nothing|Tables, video ads |Tables, video ads and 11 other fixations || ​ Month by Month Growth |Month|Revenue|Steps| |:-|:-|:-| |Sept 2022|NA|Content Plan| |Oct 2022|$217|Content Production| |Nov 2022|$243|Content production + EEAT authors| |Dec 2022|$320|Content production + EEAT authors| |Jan 2023|$400|Monitoring| |Feb 2023|$223|Content production + EEAT authors| |Mar 2023|$2,128|CRO & Fixations| |April 2023|$1,609|CRO & Fixations| |May 2023|$2,223|Content production + EEAT authors| |June 2023|$2,836|CRO and Fixations| |Total|$10,199|| ​ What will I share Content plan and Website structure Content Writing Content Uploading, formatting and onsite SEO Faster indexing Conversion rate optimisation Guest Posting EEAT (Experience, Expertise, Authority, Trust) Costing ROI The plans moving forward with these sites ​ Website Structure and Content Plan This is probably the most important important part of the whole process. The team spends around a month just to get this right. It's like defining the direction of the project. Description: Complete blueprint of the site's structure in terms of organisation of categories, subcategories and sorting of articles in each one of them. It also includes the essential pages. The sorted articles target main keyword, relevant entities and similar keywords. This has to be highly data driven and we look at over 100 variables just to get it right. It's like beating Google's algorithm to ensure you have a blueprint for a site that will rank. It needs to be done right. If there is a mistake, then even if you do everything right - it's not going to work out and after 8-16 months you will realise that everything went to waste. Process For this project, we had a niche selected already so we didn't need to do a lot of research pertaining to that. We also knew the topic since the website was already getting good traffic on that. We just validated from Ahrefs, SEMRUSH and manual analysis if it would be worth it to move forward with that topic. ​ Find entities related to the topic: We used Ahrefs and InLinks to get an idea about the related entities (topics) to create a proper topical relevance. In order to be certain and have a better idea, we used ChatGPT to find relevant entities as well \> Ahrefs (tool): Enter main keyword in keywords explorer. Check the left pain for popular topics \> Inlinks (tool): Enter the main keyword, check the entity maps \> ChatGPT (tool): Ask it to list down the most important and relevant entities in order of their priority Based on this info, you can map out the most relevant topics that are semantically associated to your main topic Sorting the entities in topics (categories) and subtopics (subcategories): Based on the information above, cluster them properly. The most relevant ones must be grouped together. Each group must be sorted into its relevant category. \> Example: Site about cycling. \> Categories/entities: bicycles, gear and equipment, techniques, safety, routes etc. \> The subcategories/subentities for let's say "techniques" would be: Bike handling, pedaling, drafting etc. Extract keywords for each subcategory/subentity: You can do this using Ahrefs or Semrush. Each keyword would be an article. Ensure that you target the similar keywords in one article. For example: how to ride a bicycle and how can I ride a bicycle will be targeted by one article. Make the more important keyword in terms of volume and difficulty as the main keyword and the other one(s) as secondary Define main focus vs secondary focus: Out of all these categories/entities - there will be one that you would want to dominate in every way. So, focus on just that in the start. This will be your main focus. Try to answer ALL the questions pertaining to that. You can extract the questions using Ahrefs. \> Ahrefs > keywords explorer \> enter keyword \> Questions \> Download the list and cluster the similar ones. This will populate your main focus category/entity and will drive most of the traffic. Now, you need to write in other categories/subentities as well. This is not just important, but crucial to complete the topical map loop. In simple words, if you do this Google sees you as a comprehensive source on the topic - otherwise, it ignores you and you don't get ranked Define the URLs End result: List of all the entities and sub-entities about the main site topic in the form of categories and subcategories respectively. A complete list of ALL the questions about the main focus and at around 10 questions for each one of the subcategories/subentities that are the secondary focus Content Writing So, now that there's a plan. Content needs to be produced. Pick out a keyword (which is going to be a question) and... Answer the question Write about 5 relevant entities Answer 10 relevant questions Write a conclusion Keep the format the same for all the articles. Content Uploading, formatting and onsite SEO Ensure the following is taken care of: H1 Permalink H2s H3s Lists Tables Meta description Socials description Featured image 2 images in text \\Schema Relevant YouTube video (if there is) Note: There are other pointers link internal linking in a semantically relevant way but this should be good to start with. Faster Indexing Indexing means Google has read your page. Ranking only after this step has been done. Otherwise, you can't rank if Google hasn't read the page. Naturally, this is a slow process. But, we expedite it in multiple ways. You can use RankMath to quickly index the content. Since, there are a lot of bulk pages you need a reliable method. Now, this method isn't perfect. But, it's better than most. Use Google Indexing API and developers tools to get indexed. Rank Math plugin is used. I don't want to bore you and write the process here. But, a simple Google search can help you set everything up. Additionally, whenever you post something - there will be an option to INDEX NOW. Just press that and it would be indexed quite fast. Conversion rate optimisation Once you get traffic, try adding tables right after the introduction of an article. These tables would feature a relevant product on Amazon. This step alone increased our earnings significantly. Even though the content is informational and NOT review. This still worked like a charm. Try checking out the top pages every single day in Google analytics and add the table to each one of them. Moreover, we used EZOIC video ads as well. That increased the RPM significantly as well. Both of these steps are highly recommended. Overall, we implemented over 11 fixations but these two contribute the most towards increasing the RPM so I would suggest you stick to these two in the start. Guest Posting We made additional income by selling links on the site as well. However, we were VERY careful about who we offered a backlink to. We didn't entertain any objectionable links. Moreover, we didn't actively reach out to anyone. We had a professional email clearly stated on the website and a particularly designated page for "editorial guidelines" A lot of people reached out to us because of that. As a matter of fact, the guy who bought the website is in the link selling business and plans to use the site primarily for selling links. According to him, he can easily make $4000+ from that alone. Just by replying to the prospects who reached out to us. We didn't allow a lot of people to be published on the site due to strict quality control. However, the new owner is willing to be lenient and cash it out. EEAT (Experience, Expertise, Authority, Trust) This is an important ranking factor. You need to prove on the site that your site has authors that are experienced, have expertise, authority and trust. A lot of people were reaching out to publish on our site and among them were a few established authors as well. We let them publish on our site for free, added them on our official team, connected their socials and shared them on all our socials. In return, we wanted them to write 3 articles each for us and share everything on all the social profiles. You can refer to the tables I shared above to check out the months it was implemented. We added a total of 6 writers (credible authors). Their articles were featured on the homepage and so were their profiles. Costing Well, we already had the site and the backlinks on it. Referring domains (backlinks) were already 500+. We just needed to focus on smart content and content. Here is the summary of the costs involved. Articles: 490 Avg word count per article: 1500 Total words: 735,000 (approximately) Cost per word: 2 cents (includes research, entities, production, quality assurance, uploading, formatting, adding images, featured image, alt texts, onsite SEO, publishing/scheduling etc.) Total: $14,700 ROI (Return on investment) Earning: Oct 22 - June 23 Earnings: $10,199 Sold for: $59,000 Total: $69,199 Expenses: Content: $14,700 Misc (hosting and others): $500 Total: $15,200 ROI over a 9 months period: 355.25% The plans moving forward This website was a part of a research and development experiment we did. With AI, we wanted to test new waters and transition more towards automation. Ideally, we want to use ChatGPT or some other API to produce these articles and bulk publish on the site. The costs with this approach are going to be much lower and the ROI is much more impressive. It's not the the 7-figures projects I created earlier (as you may have checked the older case studies on my profile), but it's highly scalable. We plan to refine this model even further, test more and automate everything completely to bring down our costs significantly. Once we have a model, we are going to scale it to 100s of sites. The process of my existing 7-figures websites portfolio was quite similar. I tested out a few sites, refined the model and scaled it to over 41 sites. Now, the fundamentals are the same however, we are using AI in a smarter way to do the same but at a lower cost, with a smaller team and much better returns. The best thing in my opinion is to run numerous experiments now. Our experimentation was slowed down a lot in the past since we couldn't write using AI but now it's much faster. The costs are 3-6 times lower so when it used to take $50-100k to start, grow and sell a site. Now you can pump 3-6 more sites for the same budget. This is a good news for existing business owners as well who want to grow their brand. Anyway, I am excited to see the results of more sites. In the meantime, if you have any questions - feel free to let me know. Best of luck for everything. Feel free to ask questions. I'd be happy to help. This is an AMA.

boring passive site... now 42k monthly visitors and $2540 MRR
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TasAdamsThis week

boring passive site... now 42k monthly visitors and $2540 MRR

people underestimate SEO... It is evergreen... passive... digital real estate. it can do magic... if you are consistent. Especially now with AI you can 2X your traffic growth and automate 85% of the work. For the past 6 months... we've been building an online directory. we just reached $2540 MRR... with SEO only... from a complete zero. I did share this on other subreddits. Maybe this gives ideas to someone. \+ This can be easily replicated if you have a website lol Current metrics: $2540 MRR - businesses pay us to list on the directory + display ads + pay to be featured. 43k monthly visitors - in the past couple of weeks our SEO growth is a hockey stick. DR (Domain Rating) 35 - it took us 2.5 months to get to that. 51 okay-ish quality referring domains (90% of them are do-follow) and 1.6k backlinks. There are probably 3 main pillars I try to focus on: keywords --> which then is the basis for ALL the content pieces we do blogs, landing pages, about us pages, competitor comparisons etc --> we use a DIY excel file to automate content production at scale. backlinks --> boost DR --> one of the main things to boost ranking on google. website health --> this is technical stuff like internal and external linking, schemas, canonical tags, alt texts, load speeds, compressed images, meta descriptions, titles etc --> do this once... and do it GOOD. $0.07 per SEO optimised blog at scale with AI Yep... we've literally built our own SEO blog tool... and it is a Spreadsheet with bunch of app scripts :D NOTE that we add a little bit of human touch to those blogs that are picked up by Google rank top in 25 How it works... is that we paste in bunch of links (other websites, blogs, news articles) and with a click of a button we can get up to 2000 SEO optimised content pieces... from an Excel file... $0.07 per blog. The spreadsheet is integrated with Chat gpt (obviously). We use GPT-4 for meta descriptions, titles, transforming the content from text to html code since it is more powerful, and GPT-4o for content itself because it is cheaper and faster for "general text". The spreadsheet repurposes content. The spreadsheet generates: Meta descriptions and titles FAQs sections - DON'T skip FAQ sections! They are a must for SEO. On Ahrefs... there is a section of questions people are searching about your keyword... that's your FAQs It can find contextual youtube videos (links to those videos) - to show google that our content is not "just text" thus higher quality. Screenshots and images of the original source (the website link we inputed) I then download a csv version of the excel and import it into our Webflow. The csv file column names match our webflow CMS field names. tbh... we didn't even know that it can be done with a spreadsheet. We "tried" building it because every other tool we were using is (1) expensive from $0.59 per SEO content piece (2) they didn't provide the scale we wanted (3) we wanted more control over the output. Focus on DR 35+ backlinks... easier We bought backlinks only once... rest of the backlinks was a manual work from us. Bunch of free listing databases (about 65% of our backlinks) You can comment on open forums with your link to get a backlink (be careful tho) Post a blog on Medium com --> DR 94 backlink (takes time to Index) If you pay for Notion you can get a DR 94 backlink from Notion If you use Beehiiv you can get a DR 86 backlink from Beehiiv Google product stacking (Google sites, Google notes etc) --> backlink from almighty Google itself A lot of work goes into backlinks because they are THAT important. I have tried bunch of "black hat" strategies as well... but note that all of these strategies won't work if you don't index the primary source from where your backlink is coming from. BIG search volume and low KD Key things I'm looking for in keywords: I use Ahrefs Keyword research tool... it is literally free BIG search volume - 2k+ is oaky-ish for a single keyword EASY to rank - KD (keyword difficulty) below 15 Look for long tail keywords (these are golden nuggets since they have a VERY clear search intent) - "how to edit..." "how to change..." "how to delete..." "how to paint..." I hope you got the idea. on Ahrefs you can use "\" to get BIG volume long tail keywords... like this "my keyword\". Ahrefs then populates the "\" with the tail. Check SERP (Search Engine Result Page) for your keywords - it shows current top 10 pages for those KWs. Check their content. Can you improve it? Have they missed anything? Keyword gap from your competitors - shows EASY keywords that your competitors have missed and also shows what keywords overlap with you. Also one cool thing... if you don't type any keywords on Ahrefs and press "Enter"... you can browse all the keywords out there... it is magical. Once we have the keywords, we run our spreadsheet. And that's pretty much it. I hope that you can get some ideas from this little silly project. Also... if you have any questions about this... I might share the SEO blog automation excel file/help if people are interested...

boring passive site... now 42k monthly visitors and $2540 MRR
reddit
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TasAdamsThis week

boring passive site... now 42k monthly visitors and $2540 MRR

people underestimate SEO... It is evergreen... passive... digital real estate. it can do magic... if you are consistent. Especially now with AI you can 2X your traffic growth and automate 85% of the work. For the past 6 months... we've been building an online directory. we just reached $2540 MRR... with SEO only... from a complete zero. I did share this on other subreddits. Maybe this gives ideas to someone. \+ This can be easily replicated if you have a website lol Current metrics: $2540 MRR - businesses pay us to list on the directory + display ads + pay to be featured. 43k monthly visitors - in the past couple of weeks our SEO growth is a hockey stick. DR (Domain Rating) 35 - it took us 2.5 months to get to that. 51 okay-ish quality referring domains (90% of them are do-follow) and 1.6k backlinks. There are probably 3 main pillars I try to focus on: keywords --> which then is the basis for ALL the content pieces we do blogs, landing pages, about us pages, competitor comparisons etc --> we use a DIY excel file to automate content production at scale. backlinks --> boost DR --> one of the main things to boost ranking on google. website health --> this is technical stuff like internal and external linking, schemas, canonical tags, alt texts, load speeds, compressed images, meta descriptions, titles etc --> do this once... and do it GOOD. $0.07 per SEO optimised blog at scale with AI Yep... we've literally built our own SEO blog tool... and it is a Spreadsheet with bunch of app scripts :D NOTE that we add a little bit of human touch to those blogs that are picked up by Google rank top in 25 How it works... is that we paste in bunch of links (other websites, blogs, news articles) and with a click of a button we can get up to 2000 SEO optimised content pieces... from an Excel file... $0.07 per blog. The spreadsheet is integrated with Chat gpt (obviously). We use GPT-4 for meta descriptions, titles, transforming the content from text to html code since it is more powerful, and GPT-4o for content itself because it is cheaper and faster for "general text". The spreadsheet repurposes content. The spreadsheet generates: Meta descriptions and titles FAQs sections - DON'T skip FAQ sections! They are a must for SEO. On Ahrefs... there is a section of questions people are searching about your keyword... that's your FAQs It can find contextual youtube videos (links to those videos) - to show google that our content is not "just text" thus higher quality. Screenshots and images of the original source (the website link we inputed) I then download a csv version of the excel and import it into our Webflow. The csv file column names match our webflow CMS field names. tbh... we didn't even know that it can be done with a spreadsheet. We "tried" building it because every other tool we were using is (1) expensive from $0.59 per SEO content piece (2) they didn't provide the scale we wanted (3) we wanted more control over the output. Focus on DR 35+ backlinks... easier We bought backlinks only once... rest of the backlinks was a manual work from us. Bunch of free listing databases (about 65% of our backlinks) You can comment on open forums with your link to get a backlink (be careful tho) Post a blog on Medium com --> DR 94 backlink (takes time to Index) If you pay for Notion you can get a DR 94 backlink from Notion If you use Beehiiv you can get a DR 86 backlink from Beehiiv Google product stacking (Google sites, Google notes etc) --> backlink from almighty Google itself A lot of work goes into backlinks because they are THAT important. I have tried bunch of "black hat" strategies as well... but note that all of these strategies won't work if you don't index the primary source from where your backlink is coming from. BIG search volume and low KD Key things I'm looking for in keywords: I use Ahrefs Keyword research tool... it is literally free BIG search volume - 2k+ is oaky-ish for a single keyword EASY to rank - KD (keyword difficulty) below 15 Look for long tail keywords (these are golden nuggets since they have a VERY clear search intent) - "how to edit..." "how to change..." "how to delete..." "how to paint..." I hope you got the idea. on Ahrefs you can use "\" to get BIG volume long tail keywords... like this "my keyword\". Ahrefs then populates the "\" with the tail. Check SERP (Search Engine Result Page) for your keywords - it shows current top 10 pages for those KWs. Check their content. Can you improve it? Have they missed anything? Keyword gap from your competitors - shows EASY keywords that your competitors have missed and also shows what keywords overlap with you. Also one cool thing... if you don't type any keywords on Ahrefs and press "Enter"... you can browse all the keywords out there... it is magical. Once we have the keywords, we run our spreadsheet. And that's pretty much it. I hope that you can get some ideas from this little silly project. Also... if you have any questions about this... I might share the SEO blog automation excel file/help if people are interested...

USING AI + REMIX to Create Designs for Print on Demand. Easy Prompts in Leonardo.AI
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Detour ShirtsJun 19, 2023

USING AI + REMIX to Create Designs for Print on Demand. Easy Prompts in Leonardo.AI

Remix in Leonardo AI. #Printondemand #onlinebusiness #passiveincome 💻 VIDEOS TO WATCH 🔥 16 TShirt Design Tips: https://youtu.be/jhijPXUM6dQ 🔥 RedBubble Sales Faster: https://youtu.be/L0ie56PBLGU 🔥 Leonardo AI Tool: https://youtu.be/mw5Au6DloZI My FREE Digital Downloads (including Tier 10 Help Sheet & Monthly Upload/Sales Tracker) 👉 https://www.detourshirts.com/collections/downloads 💰 PRINT ON DEMAND SITES I USE ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ MERCH BY AMAZON: https://merch.amazon.com/landing TEEPUBLIC: http://tee.pub/lic/detourshirts (referral link) REDBUBBLE: https://www.redbubble.com/ CAFEPRESS: https://www.cafepress.com/ ZAZZLE: https://www.zazzle.com/ THREADLESS: https://www.threadless.com/artist-shops/signup/default/features SPREADSHIRT: https://www.spreadshirt.com/ SOCIETY 6: https://society6.com/ DESIGN BY HUMANS: https://www.designbyhumans.com/ TEESPRING: https://teespring.com/ DISPLATE: https://displate.com/ 🛠️ PRINT ON DEMAND TOOLS I'VE MENTIONED ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Kittl: https://bit.ly/42Xac0B Vexels: https://www.vexels.com/detour-shirts/?ref=junaduncan2 Pretty Merch Pro: https://ps.carbon6.io/4qnue9hvz6pw Merch Informer (Coupon Code DetourShirts): https://merchinformer.com/933.html Placeit: https://1.envato.market/PPda6 DS Amazon QuickView: https://bit.ly/3hkxDsx Affinity Designer: https://affinity.serif.com/en-us/designer/ Repper: https://repper.app/?via=detourshirts Creative Market (for Fonts and Textures): https://creativemarket.com/users/DetourShirts/collections?u=DetourShirts MyFonts.com (for Fonts): https://www.dpbolvw.net/click-2381184-13915248 Creative Fabrica: https://www.creativefabrica.com/promo/8322/0P1016-AFGHIJKLMNO/ref/1113172 Stefan Kunz Procreate FREE Procreate Course: https://courses.stefankunz.com/p/procreate-free-trial?affcode=527238_68xbwon Stefan Kunz FREE 3D Course: https://courses.stefankunz.com/p/3d-masterclass-free-trial?affcode=527238_68xbwoni All Sunsets (for Vintage Sunsets): https://allsunsets.com/?wpam_id=18 RedBubble Tag Generator: https://automation.merchtitans.com/tools/redbubble-tag-generator 100 Scaleable T-Shirt Quotes for POD (US): https://gumroad.com/a/456717427/ffSgH 100 Scaleable T-Shirt Quotes for POD (Germany): https://gumroad.com/a/456717427/yNEGPC Canva: https://partner.canva.com/detourshirts 🧡 TEAM ORANGE STUFF ON AMAZON ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Funko Pop! 10” Thing: https://amzn.to/3IBx0eY Funko Pop! 10” Charizard: https://amzn.to/3XjYdae Orange Lined Journal: https://amzn.to/3GwQNcP Orange EnerGel Pens: https://amzn.to/3GV3xLD Orange Stance Socks: https://amzn.to/3vTCdXX 🎥 EQUIPMENT I USE TO MAKE MY VIDEOS & DESIGNS ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Logitech BRIO Ultra HD Webcam: https://amzn.to/3xSyt8r Neewer 700W Light Kit: https://amzn.to/3kxx4Au Rode VideoMic Pro+: https://amzn.to/3eyCabJ On-Stage Tripod Mic Boom Stand: https://amzn.to/3wIB97n 👪 MY SOCIAL MEDIA ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ YOUTUBE: http://www.youtube.com/c/DetourShirts INSTAGRAM: https://www.instagram.com/detourshirts/ 👨‍👨‍👧‍👧 FOLLOW DETOUR SHIRTS ON FACEBOOK https://www.facebook.com/detourshirts2005 👨‍👨‍👧‍👧 DETOUR SHIRTS FACEBOOK GROUP https://www.facebook.com/groups/606597416437763 👨‍👨‍👧‍👧 FOLLOW ME ON TWITTER https://twitter.com/detourshirts 👋 About this channel: My name is Juna. I am a graphic designer and t-shirt designer. I've been selling t-shirts online since 2005. I started selling with Merch by Amazon in 2017. I am currently a tier 100,000 seller on Merch by Amazon. I also sell products on RedBubble, TeePublic, CafePress, Zazzle, Spreadshirt, Threadless, Society 6, Design by Humans and more. My channel is all about helping you design and sell t-shirts online. Let me know how I can help. The information shared on my YouTube channel & resources made available is for educational, informational purposes.

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!
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adriannelestrangeThis week

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!

I am learning marketing, and so I combed through the internet to find specific advice that helped founders reach 100 users and not random Google answers. Here’s what I found: Llama Life by Marie Marie founder of Llama Life, a productivity app ($51.4K+ revenue) got her first 100 users using Snowballing effect. She shared great advice that I want to add here verbatim, “Need to think about what you have that you can leverage based on your current situation. eg..When you have no customers, think about where you can post to get the 1st customer eg Product Hunt. If you do well on PH, say you get #3 product of the day, then you post somewhere else saying ‘I got #3 product of the day’.. to get your next few customers. Maybe that post is on reddit with some learnings that you found. If the reddit post does well, then you might post it on Twitter, saying reddit did well and what learnings you got from that etc. or even if it doesn’t do well you can still post about it.” Another tip she shared is to build related products that get more viral than the product itself. These are small stand-alone sites that would appeal to the same target audience, but by nature, are more shareable. On these sites, you can mention your startup like: ‘brought to you by Llama Life’ and then provide a link to the main website if someone is interested. If one of those gets viral or ranks on Google, you’ll have a passive traffic source. Scraping bee by Pierre Pierre, founder of Scraping Bee, a web scraping tool has now reached $1.5M ARR. Pierre and his cofounder Kevin started with 10 Free Beta Users in 2019, and after 6 months asked them to take a paid subscription if they wanted to continue using the product. That’s how they got their first user within 50 minutes of that email. Then they listed it on dozens of startup directories but their core strategy was writing the best possible content for their target audience — Developers. 3 very successful pieces of content that worked were : A small tutorial on how to scrape single-page application An extensive general guide about web scraping without getting blocked A complete introduction to web scraping with Python They didn’t do content marketing for the sake of content marketing but deep-dived into the value they were providing their customer. One of these got 70K visits, and all this together got them to over 100 users. WePay by Bill Clerico Bill Clerico left his cushy corporate job to build WePay which was then acquired for $400M got his first users by using his app. He got his first users by using his app! The app was for group payments. So he hosted a Poker tournament at his house and collected payments only with his app. Then they hosted a barbecue for fraternity treasurers at San Jose State & helped them do their annual dues collection. Good old word-of-mouth marketing, that however, started with an event where they used what they made! RealWorld by Genevieve Genevieve — Founder and CEO of Realworld stands by the old-school advice of value giving. RealWorld is an app that helps GenZ navigate adulthood. So, before launching their direct-to-consumer platform, they had an educational course that they sold to college career centers and students. They already had a pipeline of adults who turned to Realworld for their adulting challenges. From there, she gained her first 100 followers. Saner dot ai by Austin Austin got 100 users from Reddit for his startup Saner.ai. Reddit hates advertising, and so his tips to market your startup on Reddit is to Write value-driven posts on your niche. Instead of writing posts, find posts where people are looking for solutions DM people facing problems that your SaaS solves. But instead of selling, ask about their problem to see if your product is a good fit Heartfelt posts about why you built it, aren’t gonna cut it To find posts and people, search Reddit with relevant keywords and join all the subreddits A Stock Portfolio Newsletter A financial investor got his first 100 paid newsletter subscribers for his stock portfolio newsletter. His tips : Don’t reinvent the wheel. Work what’s already working. He saw a company making $500M+ from stock picking newsletter, so decided to try that. Find the gaps in “already working” and leverage them. That newsletter did not have portfolios of advisors writing them. That was his USP. He added his own portfolio to his newsletter. Now to 100 users, he partnered with a guy running an investing website and getting good traffic. That guy got a cut of his revenue, in exchange. That one simple step got him to 100 users. Hypefury by Yannick and Samy Yannick and Samy from Hypefury, Twitter and Social Media Automation tool got their first beta testers and users from a paid community. They launched Hypefury there and asked if someone wanted to try it. A couple of people tried it and gave feedback. Samy conducted user interviews and product demos for them, And shared the reviews on Twitter. That alone, along with word-of-mouth marketing on Twitter got them their first 100 users. To conclude: Don’t reinvent the wheel, try what’s working. Find the gaps in what’s working, and leverage that. Instead of thinking about millions of customers, think about the first 10. Then first 100. Leverage what you have. Get the first 10 customers, then talk about this to get the next 100. Use your app. Find ways, events, and opportunities to use your app in front of people. And get them to use it. Write content not only for SEO but also to help people. It won’t work tomorrow, but it will work for years after it picks up. Leverage other sources of traffic by partnering up! Do things that don’t scale. I’m also doing SaaS marketing deep dives over 30 pieces of content. I'm posting here for the first time, so I'm not sure if it will stay or not, sorry if it doesn't. I've helped a SaaS grow from $19K to $100K MRR as a marketer in last 2 years, and now I wanna dive deep. Cheers! (1/30)

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!
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Human Vibe Score1
adriannelestrangeThis week

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!

I am learning marketing, and so I combed through the internet to find specific advice that helped founders reach 100 users and not random Google answers. Here’s what I found: Llama Life by Marie Marie founder of Llama Life, a productivity app ($51.4K+ revenue) got her first 100 users using Snowballing effect. She shared great advice that I want to add here verbatim, “Need to think about what you have that you can leverage based on your current situation. eg..When you have no customers, think about where you can post to get the 1st customer eg Product Hunt. If you do well on PH, say you get #3 product of the day, then you post somewhere else saying ‘I got #3 product of the day’.. to get your next few customers. Maybe that post is on reddit with some learnings that you found. If the reddit post does well, then you might post it on Twitter, saying reddit did well and what learnings you got from that etc. or even if it doesn’t do well you can still post about it.” Another tip she shared is to build related products that get more viral than the product itself. These are small stand-alone sites that would appeal to the same target audience, but by nature, are more shareable. On these sites, you can mention your startup like: ‘brought to you by Llama Life’ and then provide a link to the main website if someone is interested. If one of those gets viral or ranks on Google, you’ll have a passive traffic source. Scraping bee by Pierre Pierre, founder of Scraping Bee, a web scraping tool has now reached $1.5M ARR. Pierre and his cofounder Kevin started with 10 Free Beta Users in 2019, and after 6 months asked them to take a paid subscription if they wanted to continue using the product. That’s how they got their first user within 50 minutes of that email. Then they listed it on dozens of startup directories but their core strategy was writing the best possible content for their target audience — Developers. 3 very successful pieces of content that worked were : A small tutorial on how to scrape single-page application An extensive general guide about web scraping without getting blocked A complete introduction to web scraping with Python They didn’t do content marketing for the sake of content marketing but deep-dived into the value they were providing their customer. One of these got 70K visits, and all this together got them to over 100 users. WePay by Bill Clerico Bill Clerico left his cushy corporate job to build WePay which was then acquired for $400M got his first users by using his app. He got his first users by using his app! The app was for group payments. So he hosted a Poker tournament at his house and collected payments only with his app. Then they hosted a barbecue for fraternity treasurers at San Jose State & helped them do their annual dues collection. Good old word-of-mouth marketing, that however, started with an event where they used what they made! RealWorld by Genevieve Genevieve — Founder and CEO of Realworld stands by the old-school advice of value giving. RealWorld is an app that helps GenZ navigate adulthood. So, before launching their direct-to-consumer platform, they had an educational course that they sold to college career centers and students. They already had a pipeline of adults who turned to Realworld for their adulting challenges. From there, she gained her first 100 followers. Saner dot ai by Austin Austin got 100 users from Reddit for his startup Saner.ai. Reddit hates advertising, and so his tips to market your startup on Reddit is to Write value-driven posts on your niche. Instead of writing posts, find posts where people are looking for solutions DM people facing problems that your SaaS solves. But instead of selling, ask about their problem to see if your product is a good fit Heartfelt posts about why you built it, aren’t gonna cut it To find posts and people, search Reddit with relevant keywords and join all the subreddits A Stock Portfolio Newsletter A financial investor got his first 100 paid newsletter subscribers for his stock portfolio newsletter. His tips : Don’t reinvent the wheel. Work what’s already working. He saw a company making $500M+ from stock picking newsletter, so decided to try that. Find the gaps in “already working” and leverage them. That newsletter did not have portfolios of advisors writing them. That was his USP. He added his own portfolio to his newsletter. Now to 100 users, he partnered with a guy running an investing website and getting good traffic. That guy got a cut of his revenue, in exchange. That one simple step got him to 100 users. Hypefury by Yannick and Samy Yannick and Samy from Hypefury, Twitter and Social Media Automation tool got their first beta testers and users from a paid community. They launched Hypefury there and asked if someone wanted to try it. A couple of people tried it and gave feedback. Samy conducted user interviews and product demos for them, And shared the reviews on Twitter. That alone, along with word-of-mouth marketing on Twitter got them their first 100 users. To conclude: Don’t reinvent the wheel, try what’s working. Find the gaps in what’s working, and leverage that. Instead of thinking about millions of customers, think about the first 10. Then first 100. Leverage what you have. Get the first 10 customers, then talk about this to get the next 100. Use your app. Find ways, events, and opportunities to use your app in front of people. And get them to use it. Write content not only for SEO but also to help people. It won’t work tomorrow, but it will work for years after it picks up. Leverage other sources of traffic by partnering up! Do things that don’t scale. I’m also doing SaaS marketing deep dives over 30 pieces of content. I'm posting here for the first time, so I'm not sure if it will stay or not, sorry if it doesn't. I've helped a SaaS grow from $19K to $100K MRR as a marketer in last 2 years, and now I wanna dive deep. Cheers! (1/30)

10y of product development, 2 bankruptcies, and 1 Exit — what next? [Extended Story]
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Slight-Explanation29This week

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.

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!
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adriannelestrangeThis week

I studied how 7 Founders found their first 100 customers for their businesses. Summarizing it here!

I am learning marketing, and so I combed through the internet to find specific advice that helped founders reach 100 users and not random Google answers. Here’s what I found: Llama Life by Marie Marie founder of Llama Life, a productivity app ($51.4K+ revenue) got her first 100 users using Snowballing effect. She shared great advice that I want to add here verbatim, “Need to think about what you have that you can leverage based on your current situation. eg..When you have no customers, think about where you can post to get the 1st customer eg Product Hunt. If you do well on PH, say you get #3 product of the day, then you post somewhere else saying ‘I got #3 product of the day’.. to get your next few customers. Maybe that post is on reddit with some learnings that you found. If the reddit post does well, then you might post it on Twitter, saying reddit did well and what learnings you got from that etc. or even if it doesn’t do well you can still post about it.” Another tip she shared is to build related products that get more viral than the product itself. These are small stand-alone sites that would appeal to the same target audience, but by nature, are more shareable. On these sites, you can mention your startup like: ‘brought to you by Llama Life’ and then provide a link to the main website if someone is interested. If one of those gets viral or ranks on Google, you’ll have a passive traffic source. Scraping bee by Pierre Pierre, founder of Scraping Bee, a web scraping tool has now reached $1.5M ARR. Pierre and his cofounder Kevin started with 10 Free Beta Users in 2019, and after 6 months asked them to take a paid subscription if they wanted to continue using the product. That’s how they got their first user within 50 minutes of that email. Then they listed it on dozens of startup directories but their core strategy was writing the best possible content for their target audience — Developers. 3 very successful pieces of content that worked were : A small tutorial on how to scrape single-page application An extensive general guide about web scraping without getting blocked A complete introduction to web scraping with Python They didn’t do content marketing for the sake of content marketing but deep-dived into the value they were providing their customer. One of these got 70K visits, and all this together got them to over 100 users. WePay by Bill Clerico Bill Clerico left his cushy corporate job to build WePay which was then acquired for $400M got his first users by using his app. He got his first users by using his app! The app was for group payments. So he hosted a Poker tournament at his house and collected payments only with his app. Then they hosted a barbecue for fraternity treasurers at San Jose State & helped them do their annual dues collection. Good old word-of-mouth marketing, that however, started with an event where they used what they made! RealWorld by Genevieve Genevieve — Founder and CEO of Realworld stands by the old-school advice of value giving. RealWorld is an app that helps GenZ navigate adulthood. So, before launching their direct-to-consumer platform, they had an educational course that they sold to college career centers and students. They already had a pipeline of adults who turned to Realworld for their adulting challenges. From there, she gained her first 100 followers. Saner dot ai by Austin Austin got 100 users from Reddit for his startup Saner.ai. Reddit hates advertising, and so his tips to market your startup on Reddit is to Write value-driven posts on your niche. Instead of writing posts, find posts where people are looking for solutions DM people facing problems that your SaaS solves. But instead of selling, ask about their problem to see if your product is a good fit Heartfelt posts about why you built it, aren’t gonna cut it To find posts and people, search Reddit with relevant keywords and join all the subreddits A Stock Portfolio Newsletter A financial investor got his first 100 paid newsletter subscribers for his stock portfolio newsletter. His tips : Don’t reinvent the wheel. Work what’s already working. He saw a company making $500M+ from stock picking newsletter, so decided to try that. Find the gaps in “already working” and leverage them. That newsletter did not have portfolios of advisors writing them. That was his USP. He added his own portfolio to his newsletter. Now to 100 users, he partnered with a guy running an investing website and getting good traffic. That guy got a cut of his revenue, in exchange. That one simple step got him to 100 users. Hypefury by Yannick and Samy Yannick and Samy from Hypefury, Twitter and Social Media Automation tool got their first beta testers and users from a paid community. They launched Hypefury there and asked if someone wanted to try it. A couple of people tried it and gave feedback. Samy conducted user interviews and product demos for them, And shared the reviews on Twitter. That alone, along with word-of-mouth marketing on Twitter got them their first 100 users. To conclude: Don’t reinvent the wheel, try what’s working. Find the gaps in what’s working, and leverage that. Instead of thinking about millions of customers, think about the first 10. Then first 100. Leverage what you have. Get the first 10 customers, then talk about this to get the next 100. Use your app. Find ways, events, and opportunities to use your app in front of people. And get them to use it. Write content not only for SEO but also to help people. It won’t work tomorrow, but it will work for years after it picks up. Leverage other sources of traffic by partnering up! Do things that don’t scale. I’m also doing SaaS marketing deep dives over 30 pieces of content. I'm posting here for the first time, so I'm not sure if it will stay or not, sorry if it doesn't. I've helped a SaaS grow from $19K to $100K MRR as a marketer in last 2 years, and now I wanna dive deep. Cheers! (1/30)

What Reinforcement Learning Method Should I Use for Poker AI with LLMs?
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godlover123451This week

What Reinforcement Learning Method Should I Use for Poker AI with LLMs?

Hey everyone, I’m working on a poker AI project, where I’m training a large language model (LLM) to predict poker actions from given game states (check, call, bet, raise, etc.). My end goal is to create a model that can play poker at a high level, primarily by self-play and opponent modeling. However, I’m running into some challenges that I hope you can help me with! Here's the situation: Training Method: I’m using supervised fine-tuning (SFT) on real poker hand history data to initially teach the LLM how to predict poker actions from game states. This means that the model learns from examples of past games, predicting the actions that players took in various situations. Self-Play Setup: I plan to eventually move to self-play, where the LLM will play against itself (or other types of models that I create to simulate different play styles). I’ll use these self-play sessions to improve the model over time. Opponent Pool: I’m creating 6 types of poker players (Loose Aggressive, Loose Passive, Tight Aggressive, Tight Passive, Maniac, and Nit), each trained at 5 different skill levels (Novice, Beg\*nner, Intermediate, Advanced, Expert). This gives me a decent range of opponent behavior for training. The problem: Here’s the catch: The LLM I’m using only outputs discrete actions (e.g., bet 3BB, raise to 10BB, etc.) with no access to the probabilities of actions, so I can't directly use methods like policy gradients or Q-learning that rely on action probabilities or continuous action spaces. This makes applying traditional RL methods a bit tricky. My question: Given that I don't have access to action probabilities, what RL method or strategy should I pursue to improve my model? Specifically, I’m looking for a way to: Incorporate self-play with reward-based learning. Refine the model through reinforcement learning, without the need for continuous probabilities. Ensure the model doesn’t just overfit to its own prior behavior but learns to adapt and exploit different strategies in poker. I’ve considered a few approaches like reward-weighted supervised fine-tuning or using simpler RL techniques like Monte Carlo updates, but I’m not sure which would work best with the LLM setup I have. I've also considered Q-learning or Deep Q-learning. Any advice or suggestions on which RL approach I should take given my situation would be greatly appreciated! Yes I used AI to write this queston. But it captures everything I want to say, and I suck at writing.

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

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.

Recently hit 6,600,000 monthly organic traffic for a B2C SaaS website. Here's the 40 tips that helped me make that happen.
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DrJigsawThis week

Recently hit 6,600,000 monthly organic traffic for a B2C SaaS website. Here's the 40 tips that helped me make that happen.

Hey guys! So as title says, we recently hit 6,600,000 monthly organic traffic / month for a B2C SaaS website (screenshot. Can't give name publicly, but can show testimonial to a mod). Here's 40 tips that "helped" me make this happen. If you get some value of the post, I write an SEO tip every other day on /r/seogrowth. There's around 10 more tips already up there other than the ones I mention here. If you want to give back for all my walls of text, I'd appreciate a sub <3 Also, there are a bunch of free stuff I mention in the article: content outline, writer guidelines, SEO checklist, and other stuff. Here's the Google Doc with all that! Tip #1. Take SEO With a Grain of Salt A lot of the SEO advice and best practices on the internet are based on 2 things: Personal experiences and case studies of companies that managed to make SEO work for them. Google or John Mueller (Google’s Senior Webmaster Trends Analyst). And, unfortunately, neither of these sources are always accurate. Personal SEO accounts are simply about what worked for specific companies. Sometimes, what worked for others, won’t work for you. For example, you might find a company that managed to rank with zero link-building because their website already had a very strong backlink profile. If you’re starting with a fresh website, chances are, you won’t be able to get the same results. At the same time, information from Google or John Mueller is also not 100% accurate. For example, they’ve said that guest posting is against Google’s guidelines and doesn’t work… But practically, guest posting is a very effective link-building strategy. So the takeaway is this: Take all information you read about SEO with a grain of salt. Analyze the information yourself, and make your conclusions. SEO Tip #2. SEO Takes Time You’ve already heard this one before, but considering how many people keep asking, thought I'd include this anyway. On average, it’s going to take you 6 months to 2 years to get SEO results, depending on the following factors: Your backlink profile. The more quality backlinks you have (or build), the faster you’ll rank. Age of your website. If your website is older (or you purchased an aged website), you can expect your content to rank faster. Amount of content published. The more quality content you publish on your website, the more “authoritative” it is in the eyes of Google, and thus more likely to rank faster. SEO work done on the website. If a lot of your pages are already ranking on Google (page 2-3), it’s easier to get them to page #1 than if you just published the content piece. Local VS global SEO. Ranking locally is (sometimes) easier and faster than ranking globally. That said, some marketing agencies can use “SEO takes time” as an excuse for not driving results. Well, fortunately, there is a way to track SEO results from month #2 - #3 of work. Simply check if your new content pieces/pages are getting more and more impressions on Google Search Console month-to-month. While your content won’t be driving traffic for a while after being published, they’ll still have a growing number of impressions from month #2 or #3 since publication. SEO Tip #3. SEO Might Not Be The Best Channel For You In theory, SEO sounds like the best marketing channel ever. You manage to rank on Google and your marketing seemingly goes on auto-pilot - you’re driving new leads every day from existing content without having to lift a finger… And yet, SEO is not for everyone. Avoid SEO as a marketing channel if: You’re just getting started with your business and need to start driving revenue tomorrow (and not in 1-2 years). If this is you, try Google ads, Facebook ads, or organic marketing. Your target audience is pretty small. If you’re selling enterprise B2B software and have around 2,000 prospects in total worldwide, then it’s simply easier to directly reach out to these prospects. Your product type is brand-new. If customers don’t know your product exists, they probably won’t be Googling it. SEO Tip #4. Traffic Can Be a Vanity Metric I've seen hundreds of websites that drive 6-7 digits of traffic but generate only 200-300 USD per month from those numbers. “What’s the deal?” You might be thinking. “How can you fail to monetize that much traffic?” Well, that brings us to today’s tip: traffic can be a vanity metric. See, not all traffic is created equal. Ranking for “hormone balance supplement” is a lot more valuable than ranking for “Madagascar character names.” The person Googling the first keyword is an adult ready to buy your product. Someone Googling the latter, on the other hand, is a child with zero purchasing power. So, when deciding on which keywords to pursue, always keep in mind the buyer intent behind and don’t go after rankings or traffic just because 6-digit traffic numbers look good. SEO Tip #5. Push Content Fast Whenever you publish a piece of content, you can expect it to rank within 6 months to a year (potentially less if you’re an authority in your niche). So, the faster you publish your content, the faster they’re going to age, and, as such, the faster they’ll rank on Google. On average, I recommend you publish a minimum of 10,000 words of content per month and 20,000 to 30,000 optimally. If you’re not doing link-building for your website, then I’d recommend pushing for even more content. Sometimes, content velocity can compensate for the lack of backlinks. SEO Tip #6. Use Backlink Data to Prioritize Content You might be tempted to go for that juicy, 6-digit traffic cornerstone keyword right from the get-go... But I'd recommend doing the opposite. More often than not, to rank for more competitive, cornerstone keywords, you’ll need to have a ton of supporting content, high-quality backlinks, website authority, and so on. Instead, it’s a lot more reasonable to first focus on the less competitive keywords and then, once you’ve covered those, move on to the rest. Now, as for how to check keyword competitiveness, here are 2 options: Use Mozbar to see the number of backlinks for top-ranking pages, as well as their Domain Authority (DA). If all the pages ranking on page #1 have <5 backlinks and DA of 20 - 40, it’s a good opportunity. Use SEMrush or Ahrefs to sort your keywords by difficulty, and focus on the less difficult keywords first. Now, that said, keep in mind that both of these metrics are third-party, and hence not always accurate. SEO Tip #7. Always Start With Competitive Analysis When doing keyword research, the easiest way to get started is via competitive analysis. Chances are, whatever niche you’re in, there’s a competitor that is doing great with SEO. So, instead of having to do all the work from scratch, run their website through SEMrush or Ahrefs and steal their keyword ideas. But don’t just stop there - once you’ve borrowed keyword ideas from all your competitors, run the seed keywords through a keyword research tool such as UberSuggest or SEMrush Keyword Magic Tool. This should give you dozens of new ideas that your competitors might’ve missed. Finally, don’t just stop at borrowing your competitor’s keyword ideas. You can also borrow some inspiration on: The types of graphics and images you can create to supplement your blog content. The tone and style you can use in your articles. The type of information you can include in specific content pieces. SEO Tip #8. Source a LOT of Writers Content writing is one of those professions that has a very low barrier to entry. Anyone can take a writing course, claim to be a writer, and create an UpWork account… This is why 99% of the writers you’ll have to apply for your gigs are going to be, well, horrible. As such, if you want to produce a lot of content on the reg, you’ll need to source a LOT of writers. Let’s do the math: If, by posting a job ad, you source 100 writers, you’ll see that only 5 of them are a good fit. Out of the 5 writers, 1 has a very high rate, so they drop out. Another doesn’t reply back to your communication, which leaves you with 3 writers. You get the 3 writers to do a trial task, and only one turns out to be a good fit for your team. Now, since the writer is freelance, the best they can do is 4 articles per month for a total of 5,000-words (which, for most niches, ain’t all that much). So, what we’re getting at here is, to hire quality writers, you should source a LOT of them. SEO Tip #9. Create a Process for Filtering Writers If you follow the previous tip, you'll end up with a huge database of hundreds of writers. This creates a whole new problem: You now have a database of 500+ writers waiting for you to sift through them and decide which ones are worth the hire. It would take you 2-3 days of intense work to go through all these writers and vet them yourself. Let’s be real - you don’t have time for that. Here’s what you can do instead: When sourcing writers, always get them to fill in a Google form (instead of DMing or emailing you). In this form, make sure to ask for 3 relevant written samples, a link to the writer’s portfolio page, and the writer’s rate per word. Create a SOP for evaluating writers. The criteria for evaluation should be: Level of English. Does the writer’s sample have any English mistakes? If so, they’re not a good fit. Quality of Samples. Are the samples long-form and engaging content or are they boring 500-word copy-pastes? Technical Knowledge. Has the writer written about a hard-to-explain topic before? Anyone can write about simple topics like traveling—you want to look for someone who knows how to research a new topic and explain it in a simple and easy-to-read way. If someone’s written about how to create a perfect cover letter, they can probably write about traveling, but the opposite isn’t true. Get your VA to evaluate the writer’s samples as per the criteria above and short-list writers that seem competent. If you sourced 500 writers, the end result of this process should be around 50 writers. You or your editor goes through the short-list of 50 writers and invites 5-10 for a (paid) trial task. The trial task is very important - you’ll sometimes find that the samples provided by the writer don’t match their writing level. SEO Tip #10. Use the Right Websites to Find Writers Not sure where to source your writers? Here are some ideas: ProBlogger \- Our #1 choice - a lot of quality writers frequent this website. LinkedIn \- You can headhunt content writers in specific locations. Upwork \- If you post a content gig, most writers are going to be awful. Instead, I recommend headhunting top writers instead. WeWorkRemotely \- Good if you’re looking to make a full-time remote hire. Facebook \- There are a ton of quality Facebook groups for writers. Some of our faves are Cult of Copy Job Board and Content Marketing Lounge. SEO Tip #11. Always Use Content Outlines When giving tasks to your writing team, you need to be very specific about the instructions you give them. Don’t just provide a keyword and tell them to “knock themselves out.” The writer isn’t a SEO expert; chances are, they’re going to mess it up big-time and talk about topics that aren’t related to the keyword you’re targeting. Instead, when giving tasks to writers, do it through content outlines. A content outline, in a nutshell, is a skeleton of the article they’re supposed to write. It includes information on: Target word count (aim for the same or 50% more the word count than that of the competition). Article title. Article structure (which sections should be mentioned and in what order). Related topics of keywords that need to be mentioned in the article. Content outline example in the URL in the post intro. SEO Tip #12. Focus on One Niche at a Time I used to work with this one client that had a SaaS consisting of a mixture of CRM, Accounting Software, and HRS. I had to pick whether we were going to focus on topics for one of these 3 niches or focus on all of them at the same time. I decided to do the former. Here’s why: When evaluating what to rank, Google considers the authority of your website. If you have 60 articles about accounting (most of which link to each other), you’re probably an authority in the niche and are more likely to get good rankings. If you have 20 sales, 20 HR, and 20 accounting articles, though, none of these categories are going to rank as well. It always makes more sense to first focus on a single niche (the one that generates the best ROI for your business), and then move on to the rest. This also makes it easier to hire writers - you hire writers specialized in accounting, instead of having to find writers who can pull off 3 unrelated topics. SEO Tip #13. Just Hire a VA Already It’s 2021 already guys—unless you have a virtual assistant, you’re missing out big-time. Since a lot of SEO tasks are very time-consuming, it really helps to have a VA around to take over. As long as you have solid SOPs in place, you can hire a virtual assistant, train them, and use them to free up your time. Some SEO tasks virtual assistants can help with are: Internal linking. Going through all your blog content and ensuring that they link to each other. Backlink prospecting. Going through hundreds of websites daily to find link opportunities. Uploading content on WordPress and ensuring that the content is optimized well for on-page SEO. SEO Tip #14. Use WordPress (And Make Your Life Easier) Not sure which CMS platform to use? 99% of the time, you’re better off with WordPress. It has a TON of plugins that will make your life easier. Want a drag & drop builder? Use Elementor. It’s cheap, efficient, extremely easy to learn, and comes jam-packed with different plugins and features. Wix, SiteGround, and similar drag & drops are pure meh. SEO Tip #15. Use These Nifty WordPress Plugins There are a lot of really cool WordPress plugins that can make your (SEO) life so much easier. Some of our favorites include: RankMath. A more slick alternative to YoastSEO. Useful for on-page SEO. Smush. App that helps you losslessly compress all images on your website, as well as enables lazy loading. WP Rocket. This plugin helps speed up your website pretty significantly. Elementor. Not a techie? This drag & drop plugin makes it significantly easier to manage your website. WP Forms. Very simple form builder. Akismet Spam Protection. Probably the most popular anti-spam WP plugin. Mammoth Docx. A plugin that uploads your content from a Google doc directly to WordPress. SEO Tip #16. No, Voice Search Is Still Not Relevant Voice search is not and will not be relevant (no matter what sensationalist articles might say). Sure, it does have its application (“Alexa, order me toilet paper please”), but it’s pretty niche and not relevant to most SEOs. After all, you wouldn’t use voice search for bigger purchases (“Alexa, order me a new laptop please”) or informational queries (“Alexa, teach me how to do accounting, thanks”). SEO Tip #17. SEO Is Obviously Not Dead I see these articles every year - “SEO is dead because I failed to make it work.” SEO is not dead and as long as there are people looking up for information/things online, it never will be. And no, SEO is not just for large corporations with huge budgets, either. Some niches are hypercompetitive and require a huge link-building budget (CBD, fitness, VPN, etc.), but they’re more of an exception instead of the rule. SEO Tip #18. Doing Local SEO? Focus on Service Pages If you’re doing local SEO, you’re better off focusing on local service pages than blog content. E.g. if you’re an accounting firm based in Boston, you can make a landing page about /accounting-firm-boston/, /tax-accounting-boston/, /cpa-boston/, and so on. Or alternatively, if you’re a personal injury law firm, you’d want to create pages like /car-accident-law-firm/, /truck-accident-law-firm/, /wrongful-death-law-firm/, and the like. Thing is, you don’t really need to rank on global search terms—you just won’t get leads from there. Even if you ranked on the term “financial accounting,” it wouldn’t really matter for your bottom line that much. SEO Tip #19. Engage With the SEO Community The SEO community is (for the most part) composed of extremely helpful and friendly people. There are a lot of online communities (including this sub) where you can ask for help, tips, case studies, and so on. Some of our faves are: This sub :) SEO Signals Lab (FB Group) Fat Graph Content Ops (FB Group) Proper SEO Group (FB Group) BigSEO Subreddit SEO Tip #20. Test Keywords Before Pursuing Them You can use Google ads to test how profitable any given keyword is before you start trying to rank for it. The process here is: Create a Google Ads account. Pick a keyword you want to test. Create a landing page that corresponds to the search intent behind the keyword. Allocate an appropriate budget. E.g. if you assume a conversion rate of 2%, you’d want to buy 100+ clicks. If the CPC is 2 USD, then the right budget would be 200 USD plus. Run the ads! If you don’t have the budget for this, you can still use the average CPC for the keyword to estimate how well it’s going to convert. If someone is willing to bid 10 USD to rank for a certain keyword, it means that the keyword is most probably generating pretty good revenue/conversions. SEO Tip #21. Test & Improve SEO Headlines Sometimes, you’ll see that you’re ranking in the top 3 positions for your search query, but you’re still not driving that much traffic. “What’s the deal?” you might be asking. Chances are, your headline is not clickable enough. Every 3-4 months, go through your Google Search Console and check for articles that are ranking well but not driving enough traffic. Then, create a Google sheet and include the following data: Targeted keyword Page link CTR (for the last 28 days) Date when you implemented the new title Old title New title New CTR (for the month after the CTR change was implemented) From then on, implement the new headline and track changes in the CTR. If you don’t reach your desired result, you can always test another headline. SEO Tip #22. Longer Content Isn’t Always Better Content You’ve probably heard that long-form content is where it’s at in 2021. Well, this isn’t always the case. Rather, this mostly depends on the keyword you’re targeting. If, for example, you’re targeting the keyword “how to tie a tie,” you don’t need a long-ass 5,000-word mega-guide. In such a case, the reader is looking for something that can be explained in 200-300 words and if your article fails to do this, the reader will bounce off and open a different page. On the other hand, if you’re targeting the keyword “how to write a CV,” you’ll need around 4,000 to 5,000 words to adequately explain the topic and, chances are, you won’t rank with less. SEO Tip #23. SEO is Not All About Written Content More often than not, when people talk about SEO they talk about written blog content creation. It’s very important not to forget, though, that blog content is not end-all-be-all for SEO. Certain keywords do significantly better with video content. For example, if the keyword is “how to do a deadlift,” video content is going to perform significantly better than blog content. Or, if the keyword is “CV template,” you’ll see that a big chunk of the rankings are images of the templates. So, the lesson here is, don’t laser-focus on written content—keep other content mediums in mind, too. SEO Tip #24. Write For Your Audience It’s very important that your content resonates well with your target audience. If, for example, you’re covering the keyword “skateboard tricks,” you can be very casual with your language. Heck, it’s even encouraged! Your readers are Googling the keyword in their free time and are most likely teens or in their early 20s. Meaning, you can use informal language, include pop culture references, and avoid complicated language. Now, on the other hand, if you’re writing about high-level investment advice, your audience probably consists of 40-something suit-and-ties. If you include Rick & Morty references in your article, you'll most likely lose credibility and the Googler, who will go to another website. Some of our best tips on writing for your audience include: Define your audience. Who’s the person you’re writing for? Are they reading the content at work or in their free time? Keep your reader’s level of knowledge in mind. If you’re covering an accounting 101 topic, you want to cover the topic’s basics, as the reader is probably a student. If you’re writing about high-level finance, though, you don’t have to teach the reader what a balance sheet is. More often than not, avoid complicated language. The best practice is to write on a 6th-grade level, as it’s understandable for anyone. Plus, no one wants to read Shakespeare when Googling info online (unless they’re looking for Shakespeare's work, of course). SEO Tip #25. Create Compelling Headlines Want to drive clicks to your articles? You’ll need compelling headlines. Compare the following headline: 101 Productivity Tips \[To Get Things Done in 2021\] With this one: Productivity Tips Guide Which one would you click? Data says it’s the first! To create clickable headlines, I recommend you include the following elements: Keyword. This one’s non-negotiable - you need to include the target keyword in the headline. Numbers. If Buzzfeed taught us anything, it’s that people like to click articles with numbers in their titles. Results. If I read your article, what’s going to be the end result? E.g. “X Resume tips (to land the job)”.* Year (If Relevant). Adding a year to your title shows that the article is recent (which is relevant for some specific topics). E.g. If the keyword is “Marketing Trends,” I want to know marketing trends in 2021, not in 2001. So, adding a year in the title makes the headline more clickable. SEO Tip #26. Make Your Content Visual How good your content looks matters, especially if you're in a competitive niche. Here are some tips on how to make your content as visual as possible: Aim for 2-4 sentences per paragraph. Avoid huge blocks of text. Apply a 60-65% content width to your blog pages. Pick a good-looking font. I’d recommend Montserrat, PT Sans, and Roboto. Alternatively, you can also check out your favorite blogs, see which fonts they’re using, and do the same. Use a reasonable font size. Most top blogs use font sizes ranging from 16 pt to 22 pt. Add images when possible. Avoid stock photos, though. No one wants to see random “office people smiling” scattered around your blog posts. Use content boxes to help convey information better. Content boxes example in the URL in the intro of the post. SEO Tip #27. Ditch the Skyscraper Technique Already Brian Dean’s skyscraper technique is awesome and all, but the following bit really got old: “Hey \[name\], I saw you wrote an article. I, too, wrote an article. Please link to you?” The theory here is, if your content is good, the person will be compelled to link to it. In practice, though, the person really, really doesn’t care. At the end of the day, there’s no real incentive for the person to link to your content. They have to take time out of their day to head over to their website, log in to WordPress, find the article you mentioned, and add a link... Just because some stranger on the internet asked them to. Here’s something that works much better: Instead of fake compliments, be very straightforward about what you can offer them in exchange for that link. Some things you can offer are: A free version of your SaaS. Free product delivered to their doorstep. Backlink exchange. A free backlink from your other website. Sharing their content to your social media following. Money. SEO Tip #28. Get the URL Slug Right for Seasonal Content If you want to rank on a seasonal keyword, there are 2 ways to do this. If you want your article to be evergreen (i.e. you update it every year with new information), then your URL should not contain the year. E.g. your URL would be /saas-trends/, and you simply update the article’s contents+headline each year to keep it timely. If you’re planning on publishing a new trends report annually, though, then you can add a year to the URL. E.g. /saas-trends-2020/ instead of /saas-trends/. SEO Tip #29. AI Content Tools Are a Mixed Bag Lots of people are talking about AI content tools these days. Usually, they’re either saying: “AI content tools are garbage and the output is horrible,” Or: “AI content tools are a game-changer!” So which one is it? The truth is somewhere in-between. In 2021, AI content writing tools are pretty bad. The output you’re going to get is far from something you can publish on your website. That said, some SEOs use such tools to get a very, very rough draft of the article written, and then they do intense surgery on it to make it usable. Should you use AI content writing tools? If you ask me, no - it’s easier to hire a proficient content writer than spend hours salvaging AI-written content. That said, I do believe that such tools are going to get much better years down the line. This one was, clearly, more of a personal opinion than a fact. I’d love to hear YOUR opinion on AI content tools! Are they a fad, or are they the future of content creation? Let me know in the comments. SEO Tip #30. Don’t Overdo it With SEO Tools There are a lot of SEO tools out there for pretty much any SEO function. Keyword research, link-building, on-page, outreach, technical SEO, you name it! If you were to buy most of these tools for your business, you’d easily spend 4-figures on SEO tools per month. Luckily, though, you don’t actually need most of them. At the end of the day, the only must-have SEO tools are: An SEO Suite (Paid). Basically SEMrush or Ahrefs. Both of these tools offer an insane number of features - backlink analysis, keyword research, and a ton of other stuff. Yes, 99 USD a month is expensive for a tool. But then again, if you value your time 20 USD/hour and this tool saves you 6 hours, it's obviously worth it, right? On-Page SEO Tool (Free). RankMath or Yoast. Basically, a tool that's going to help you optimize web pages or blog posts as per SEO best practices. Technical SEO Tool (Freemium). You can use ScreamingFrog to crawl your entire website and find technical SEO problems. There are probably other tools that also do this, but ScreamingFrog is the most popular option. The freemium version of the tool only crawls a limited number of pages (500 URLs, to be exact), so if your website is relatively big, you'll need to pay for the tool. Analytics (Free). Obviously, you'll need Google Analytics (to track website traffic) and Google Search Console (to track organic traffic, specifically) set up on your website. Optionally, you can also use Google Track Manager to better track how your website visitors interact with the site. MozBar (Free). Chrome toolbar that lets you simply track the number of backlinks on Google Search Queries, Domain Authority, and a bunch of other stuff. Website Speed Analysis (Free). You can use Google Page Speed Insights to track how fast your website loads, as well as how mobile-friendly it is. Outreach Tool (Paid). Tool for reaching out to prospects for link-building, guest posting, etc. There are about a dozen good options for this. Personally, I like to use Snov for this. Optimized GMB Profile (Free). Not a tool per se, but if you're a local business, you need to have a well-optimized Google My Business profile. Google Keyword Planner (Free). This gives you the most reliable search volume data of all the tools. So, when doing keyword research, grab the search volume from here. Tool for Storing Keyword Research (Free). You can use Google Sheets or AirTable to store your keyword research and, at the same time, use it as a content calendar. Hemingway App (Free). Helps keep your SEO content easy to read. Spots passive voice, complicated words, etc. Email Finder (Freemium). You can use a tool like Hunter to find the email address of basically anyone on the internet (for link-building or guest posting purposes). Most of the tools that don’t fit into these categories are 100% optional. SEO Tip #31. Hiring an SEO? Here’s How to Vet Them Unless you’re an SEO pro yourself, hiring one is going to be far from easy. There’s a reason there are so many “SEO experts” out there - for the layman, it’s very hard to differentiate between someone who knows their salt and a newbie who took an SEO course, like, last week. Here’s how you can vet both freelance and full-time SEOs: Ask for concrete traffic numbers. The SEO pro should give you the exact numbers on how they’ve grown a website in the past - “100% SEO growth in 1 year” doesn’t mean much if the growth is from 10 monthly traffic to 20. “1,000 to 30,000” traffic, on the other hand, is much better. Ask for client names. While some clients ask their SEOs to sign an NDA and not disclose their collaboration, most don’t. If an SEO can’t name a single client they’ve worked with in the past, that’s a red flag. Make sure they have the right experience. Global and local SEO have very different processes. Make sure that the SEO has experience with the type of SEO you need. Make sure you’re looking for the right candidate. SEO pros can be content writers, link-builders, web developers, or all of the above simultaneously. Make sure you understand which one you need before making the hire. If you’re looking for someone to oversee your content ops, you shouldn’t hire a technical SEO expert. Look for SEO pros in the right places. Conventional job boards are overrated. Post your job ads on SEO communities instead. E.g. this sub, bigseo, SEO Signals Facebook group, etc. SEO Tip #32. Blog Post Not Ranking? Follow This Checklist I wanted to format the post natively for Reddit, but it’s just SO much better on Notion. Tl;dr, the checklist covers every reason your post might not be ranking: Search intent mismatch. Inferior content. Lack of internal linking. Lack of backlinks. And the like. Checklist URL at the intro of the post. SEO Tip #33. Avoid BS Link-Building Tactics The only type of link-building that works is building proper, quality links from websites with a good backlink profile and decent organic traffic. Here’s what DOESN’T work: Blog comment links Forum spam links Drive-by Reddit comment/post links Web 2.0 links Fiverr “100 links for 10 bucks” bs If your “SEO agency” says they’re doing any of the above instead of actually trying to build you links from quality websites, you’re being scammed. SEO Tip #34. Know When to Use 301 and 302 Redirects When doing redirects, it’s very important to know the distinction between these two. 301 is a permanent page redirect and passes on link juice. If you’re killing off a page that has backlinks, it’s better to 301 it to your homepage so that you don’t lose the link juice. If you simply delete a page, it’s going to be a 404, and the backlink juice is lost forever. 302 is a temporary page redirect and doesn’t pass on link juice. If the redirect is temporary, you do a 302. E.g. you want to test how well a new page is going to perform w/ your audience. SEO Tip #35. Social Signals Matter (But Not How You Think) Social signals are NOT a ranking factor. And yet, they can help your content rank on Google’s front page. Wondering what the hell am I talking about? Here’s what’s up: As I said, social signals are not a ranking factor. It’s not something Google takes into consideration to decide whether your article should rank or not. That said, social signals CAN lead to your article ranking better. Let’s say your article goes viral and gets around 20k views within a week. A chunk of these viewers are going to forget your domain/link and they’re going to look up the topic on Google via your chosen keyword + your brand name. The amount of people looking for YOUR keyword and exclusively picking your result over others is going to make Google think that your content is satisfying search intent better than the rest, and thus, reward you with better ranking. SEO Tip #36. Run Remarketing Ads to Lift Organic Traffic Conversions Not satisfied with your conversion rates? You can use Facebook ads to help increase them. Facebook allows you to do something called “remarketing.” This means you can target anyone that visited a certain page (or multiple pages) on your website and serve them ads on Facebook. There are a TON of ways you can take advantage of this. For example, you can target anyone that landed on a high buyer intent page and serve them ads pitching your product or a special offer. Alternatively, you can target people who landed on an educational blog post and offer them something to drive them down the funnel. E.g. free e-book or white paper to teach them more about your product or service. SEO Tip #37. Doing Local SEO? Follow These Tips Local SEO is significantly different from global SEO. Here’s how the two differ (and what you need to do to drive local SEO results): You don’t need to publish content. For 95% of local businesses, you only want to rank for keywords related to your services/products, you don’t actually need to create educational content. You need to focus more on reviews and citation-building. One of Google Maps’ biggest ranking factors is the of reviews your business has. Encourage your customers to leave a review if they enjoyed your product/service through email or real-life communication. You need to create service pages for each location. As a local business, your #1 priority is to rank for keywords around your service. E.g. If you're a personal injury law firm, you want to optimize your homepage for “personal injury law firm” and then create separate pages for each service you provide, e.g. “car accident lawyer,” “motorcycle injury law firm,” etc. Focus on building citations. Being listed on business directories makes your business more trustworthy for Google. BrightLocal is a good service for this. You don’t need to focus as much on link-building. As local SEO is less competitive than global, you don’t have to focus nearly as much on building links. You can, in a lot of cases, rank with the right service pages and citations. SEO Tip #38. Stop Ignoring the Outreach Emails You’re Getting (And Use Them to Build Your Own Links) Got a ton of people emailing you asking for links? You might be tempted to just send them all straight to spam, and I don’t blame you. Outreach messages like “Hey Dr Jigsaw, your article is A+++ amazing! ...can I get a backlink?” can get hella annoying. That said, there IS a better way to deal with these emails: Reply and ask for a link back. Most of the time, people who send such outreach emails are also doing heavy guest posting. So, you can ask for a backlink from a 3rd-party website in exchange for you mentioning their link in your article. Win-win! SEO Tip #39. Doing Internal Linking for a Large Website? This’ll Help Internal linking can get super grueling once you have hundreds of articles on your website. Want to make the process easier? Do this: Pick an article you want to interlink on your website. For the sake of the example, let’s say it’s about “business process improvement.” Go on Google and look up variations of this keyword mentioned on your website. For example: Site:\[yourwebsite\] “improve business process” Site:\[yourwebsite\] “improve process” Site:\[yourwebsite\] “process improvement” The above queries will find you the EXACT articles where these keywords are mentioned. Then, all you have to do is go through them and include the links. SEO Tip #40. Got a Competitor Copying Your Content? File a DMCA Notice Fun fact - if your competitors are copying your website, you can file a DMCA notice with Google. That said, keep in mind that there are consequences for filing a fake notice.

Detailed Guide - How I've Been Self Employed for 2 Years Selling Posters
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Detailed Guide - How I've Been Self Employed for 2 Years Selling Posters

Hey everyone, bit of context before you read through this. I have been selling POD posters full time for over 2 years now. My next venture is that I have started my own Print on Demand company for posters, PrintShrimp. As one way of creating customers for our service, we are teaching people for free how to also sell posters. Here is a guide I have written on how to sell posters on Etsy. Feel free to have a read through and then check out PrintShrimp, hopefully can help some of you guys out (and get us some more customers!) All of this is also available in video format on our website too, if you prefer to learn that way. Thanks guys! And as some people asked in other subs, no this isn't written with AI 😅 This took a couple of weeks to put together! Through this guide, we will teach you everything you need to know about starting to sell posters and generate some income. We will also show you why PrintShrimp is the best POD supplier for all of your poster needs. Trust me, you won’t need much convincing.  So, why are posters the best product to sell? Also, just thought I’d quickly answer the question - why posters? If you’ve been researching Print on Demand you’ve probably come across the infinite options of t-shirts, mugs, hats, phone cases, and more. All of these are viable options, however we think posters are the perfect place to start. You can always expand into other areas further down the line! So a brief summary of why posters are the perfect product for Print on Demand: \-They are very easy to design! Posters are a very easy shape to deal with - can’t go wrong with a rectangle. This makes designing products very easy. \-Similarly to this, what you see is what you get with a poster. You can literally see your finished product as you design it in either canva or photoshop. With T-Shirts for example, you have to make your design, and then place it on a t-shirt. Then you have to coordinate with your printers the size you would like the design on the tshirt and many other variables like that. There is no messing about with posters - what you see is what you get. \-The same high quality, everywhere. With other products, if you want to reap the benefits of a printing in various countries, you need to ensure each of your global suppliers stocks the same t-shirts, is able to print in the same way, carries the same sizes etc. Again with posters you avoid all of this hassle- your products will come out the same, no matter which of our global locations are used. \-They have a very favorable profit margin. As you will see later, the cost price of posters is very low. And people are prepared to pay quite a lot for a decent bit of wall art! I have tried out other products, and the profit margin combined with the order quantity of posters makes them my most profitable product, every single time. Using PrintShrimp, you can be sure to enjoy profits of anywhere between £6 - £40 pure profit per sale.  \-They are one of the easiest to print white label. This makes them perfect for Print on Demand. Your posters are simply put in a tube, and off they go. There are no extras you need to faff around with, compared to the extra elements other products come with, such as clothing labels on t-shirts.  Picking your poster niche So, you are ready to start selling posters. Great! Now, the blessing and curse with selling posters is that there are infinite possibilities regarding what you can sell. So, it can easily be quite overwhelming at first.  The first thing I would recommend doing is having a look at what others are selling. Etsy is a wonderful place for this (and will likely be a key part of your poster selling journey). So, log on to Etsy and simply type in ‘poster’ in the search bar. Get ready to write a massive list of the broad categories and type of posters that people are selling.  If you do not have more than 50 categories written down by the end, you are doing something wrong. There are seriously an infinite amount of posters! For example, here are some popular ones to get you started: Star sign posters, Kitchen posters, World map posters, Custom Dog Portrait posters, Music posters, Movie posters, Fine art posters, Skiing posters, Girl Power posters and Football posters.  Now, you have a huge list of potential products to sell. What next? There are a few important things you need to bear in mind when picking your niche: \-Does this interest me?  Don’t make the mistake of going down a niche that didn’t actually interest you just because it would probably be a money maker. Before you know it, what can be a very fun process of making designs can become incredibly \\\monotonous, and feel like a chore\\\. You need to bear in mind that you will be spending a lot of time creating designs - if it is something you are interested in you are much less likely to get burnt out! As well, \\\creativity will flow\\\ far better if it is something you are interested in, which at the end of the day will lead to better designs that are more likely to be purchased by customers.  \-Is this within my design range? Don’t let this put you off too much. We will go through how to get started on design later on in this guide. However, it is important to note that the plain truth of it is that some niches and designs are a hell of a lot more complicated than others. For example, quote posters can essentially be designed by anyone when you learn about how to put nice fonts together in a good color scheme. On the other hand, some posters you see may have been designed with complex illustrations in a program like Illustrator. To start with, it may be better to pick a niche that seems a bit more simple to get into, as you can always expand your range with other stores further down the line. A good way of evaluating the design complexity is by identifying if this poster is \\\a lot of elements put together\\\ or is \\\a lot of elements created by the designer themselves\\\\\.\\ Design can in a lot of cases be like a jigsaw - putting colours, shapes and text together to create an image. This will be a lot easier to start with and can be learnt by anyone, compared to complex drawings and illustrations.  \-Is this niche subject to copyright issues? Time to delve deep into good old copyright. Now, when you go through Etsy, you will without a doubt see hundreds of sellers selling music album posters, car posters, movie posters and more. Obviously, these posters contain the property of musicians, companies and more and are therefore copyrighted. The annoying thing is - these are \\\a complete cash cow.\\\ If you go down the music poster route, I will honestly be surprised if you \\don’t\\ make thousands. However it is only a matter of time before the copyright strikes start rolling in and you eventually get banned from Etsy.  So I would highly recommend \\\not making this mistake\\\. Etsy is an incredible platform for selling posters, and it is a hell of a lot easier to make sales on there compared to advertising your own website. And, you \\\only get one chance on Etsy.\\\ Once you have been banned once, you are not allowed to sign up again (and they do ID checks - so you won’t be able to rejoin again under your own name).  So, don’t be shortsighted when it comes to entering Print on Demand. If you keep your designs legitimate, they will last you a lifetime and you will then later be able to crosspost them to other platforms, again without the worry of ever getting shut down.  So, how do I actually design posters? Now you have an idea of what kind of posters you want to be making, it’s time to get creative and make some designs! Photoshop (and the creative cloud in general) is probably the best for this. However, when starting out it can be a scary investment (it costs about £30 a month unless you can get a student rate!).  So, while Photoshop is preferable in the long term, when starting out you can learn the ropes of design and get going with Canva. This can be great at the start as they have a load of templates that you can use to get used to designing and experimenting (while it might be tempting to slightly modify these and sell them - this will be quite saturated on places like Etsy so we would recommend doing something new).  What size format should I use? The best design format to start with is arguably the A sizes - as all the A sizes (A5, A4, A3, A2, A1, A0) are scalable. This means that you can make all of your designs in one size, for example A3, and these designs will be ready to fit to all other A sizes. For example, if you design an A3 poster and someone orders A1, you can just upload this A3 file to PrintShrimp and it will be ready to print. There is a wide range of other sizes you should consider offering on your shop, especially as these sizes are very popular with the American market. They have a wide range of popular options, which unfortunately aren’t all scalable with each other. This does mean that you will therefore have to make some slight modifications to your design in order to be able to offer them in American sizing, in a few different aspect ratios. What you can do however is design all of your products in UK sizing, and simply redesign to fit American sizing once you have had an order. Essentially: design in UK sizing, but list in both UK and US sizing. Then when you get a non-A size order, you can quickly redesign it on demand. This means that you don’t have to make a few different versions of each poster when first designing, and can simply do a quick redesign for US sizing when you need to. Below is PrintShrimps standard size offering. We can also offer any custom sizing too, so please get in touch if you are looking for anything else. With these sizes, your poster orders will be dispatched domestically in whatever country your customer orders from. Our recommendations for starting design One thing that will not be featured in this guide is a written out explanation or guide on how to design. Honestly, I can’t think of a more boring, or frankly worse, way to learn design. When it comes to getting started, experimenting is your best friend! Just have a play around and see what you can do. It is a really fun thing to get started with, and the satisfaction of when a poster design comes together is like no other. A good way to start is honestly by straight up copying a poster you see for sale online. And we don’t mean copying to sell! But just trying to replicate other designs is a great way to get a feel for it and what you can do. We really think you will be surprised at how easy it is to pull together a lot of designs that at first can appear quite complicated! Your best friend throughout this whole process will be google. At the start you will not really know how to do anything - but learning how to look into things you want to know about design is all part of the process. At first, it can be quite hard to even know how to search for what you are trying to do, but this will come with time (we promise). Learning how to google is a skill that you will learn throughout this process.  Above all, what we think is most important is this golden rule: take inspiration but do not steal. You want to be selling similar products in your niche, but not copies. You need to see what is selling in your niche and get ideas from that, but if you make designs too similar to ones already available, you won’t have much luck. At the end of the day, if two very similar posters are for sale and one shop has 1000 reviews and your newer one has 2, which one is the customer going to buy? You need to make yours offer something different and stand out enough to attract customers. Etsy SEO and maximizing your sales You may have noticed in this guide we have mentioned Etsy quite a few times! That is because we think it is hands down the best place to start selling posters. Why? Etsy is a go to place for many looking to decorate their homes and also to buy gifts. It might be tempting to start selling with your own website straight away, however we recommend Etsy as it brings the customers to you. For example, say you start selling Bathroom Posters. It is going to be a hell of a lot easier to convert sales when you already have customers being shown your page after searching ‘bathroom decor’, compared to advertising your own website. This is especially true as it can be hard to identify your ideal target audience to then advertise to via Meta (Facebook/Instagram) for example. Websites are a great avenue to explore eventually like I now have, but we recommend starting with Etsy and going from there. What costs do I need to be aware of? So, setting up an Etsy sellers account is currently costs £15. The only other upfront cost you will have is the cost of listing a product - this is 20 cents per listing. From then on, every time you make a sale you will be charged a transaction fee of 6.5%, a small payment processing fee, plus another 20 cents for a renewed listing fee. It normally works out to about 10% of each order, a small price to pay for all the benefits Etsy brings. No matter what platform you sell on, you will be faced with some form of transaction fee. Etsy is actually quite reasonable especially as they do not charge you to use their platform on a monthly basis.  What do I need to get selling? Getting your shop looking pretty \-Think of a shop name and design (now you are a professional designer) a logo \-Design a banner for the top of your shop \-Add in some about me info/shop announcement \-I recommend running a sale wherein orders of 3+ items get a 20% of discount. Another big benefit of PrintShrimp is that you receive large discounts when ordering multiple posters. This is great for attracting buyers and larger orders.  Making your products look attractive That is the bulk of the ‘decor’ you will need to do. Next up is placing your posters in mock ups! As you may notice on Etsy, most shops show their posters framed and hanging on walls. These are 99% of the time not real photos, but digital mock ups. This is where Photoshop comes in really handy, as you can automate this process through a plug in called Bulk Mock Up. If you don’t have photoshop, you can do this on Canva, you will just have to do it manually which can be rather time consuming.  Now, where can you get the actual Mock Ups? One platform we highly recommend for design in general is platforms like Envato Elements. These are design marketplaces where you have access to millions of design resources that you are fully licensed to use!  Titles, tags, and descriptions  Now for the slightly more nitty gritty part. You could have the world's most amazing looking poster, however, if you do not get the Etsy SEO right, no one is going to see it! We will take you through creating a new Etsy listing field by field so you can know how to best list your products.  The key to Etsy listing optimisation is to maximise. Literally cram in as many key words as you possibly can! Before you start this process, create a word map of anything you can think of relating to your listing. And come at this from the point of view of, if I was looking for a poster like mine, what would I search? Titles \-Here you are blessed with 140 characters to title your listing. Essentially, start off with a concise way of properly describing your poster. And then afterwards, add in as many key words as you can! Here is an example of the title of a well selling Skiing poster: Les Arcs Skiing Poster, Les Arcs Print, Les Alpes, France Ski Poster, Skiing Poster, Snowboarding Poster, Ski Resort Poster Holiday, French This is 139 characters out of 140 - you should try and maximise this as much as possible! As you can see, this crams in a lot of key words and search terms both related to Skiing as a whole, the poster category, and then the specifics of the poster itself (Les Arcs resort in France). Bear in mind that if you are listing a lot of listings that are of the same theme, you won’t have to spend time creating an entirely new title. For example if your next poster was of a ski resort in Italy, you can copy this one over and just swap out the specifics. For example change “France ski poster” to “Italy ski poster”, change “Les Arcs” to “The Dolomites”, etc.  Description \-Same logic applies for descriptions - try and cram in as many key words as you can! Here is an example for a Formula One poster: George Russell, Mercedes Formula One Poster  - item specific keywords Bright, modern and vibrant poster to liven up your home.  - Describes the style of the poster All posters are printed on high quality, museum grade 200gsm poster paper. Suitable for framing and frames. - Shows the quality of the print. Mentions frames whilst showing it comes unframed Experience the thrill of the racetrack with this stunning Formula One poster. Printed on high-quality paper, this racing car wall art print features a dynamic image of a Formula One car in action, perfect for adding a touch of speed and excitement to any motorsports room or man cave. Whether you're a die-hard fan or simply appreciate the adrenaline of high-speed racing, this poster is sure to impress. Available in a range of sizes, it makes a great addition to your home or office, or as a gift for a fellow Formula One enthusiast. Each poster is carefully packaged to ensure safe delivery, so you can enjoy your new piece of art as soon as possible. - A nice bit of text really highlighting a lot of key words such as gift, motorsports, racetrack etc.  You could go further with this too, by adding in extra things related to the poster such as ‘Perfect gift for a Mercedes F1 fan’ etc.  Tags Now, these are actually probably the most important part of your listing! You get 13 tags (20 character limit for each) and there are essentially search terms that will match your listing with what customers search for when shopping.  You really need to maximize these - whilst Title and Description play a part, these are the main things that will bring buyers to your listing. Once again, it is important to think about what customers are likely to be searching when looking for a poster similar to yours. Life hack alert! You can actually see what tags other sellers are using. All you need to do is go to a listing similar to yours that is selling well, scroll down and you can actually see them listed out at the bottom of the page! Here is an example of what this may look like: So, go through a few listings of competitors and make notes on common denominators that you can integrate into your listing. As you can see here, this seller uses tags such as ‘Birthday Gift’ and ‘Poster Print’. When you first start out, you may be better off swapping these out for more listing specific tags. This seller has been on Etsy for a few years however and has 15,000+ sales, so are more likely to see success from these tags.  If it’s not clear why, think about it this way. If you searched ‘poster print’ on Etsy today, there will be 10s of thousands of results. However, if you searched ‘Russell Mercedes Poster’, you will (as of writing) get 336 results. Etsy is far more likely to push your product to the top of the latter tag, against 300 other listings, rather than the top of ‘Poster Print’ where it is incredibly competitive. It is only when you are a more successful shop pulling in a high quantity of orders that these larger and more generic tags will work for you, as Etsy has more trust in your shop and will be more likely to push you to the front.  SKUs \-One important thing you need to do is add SKUs to all of your products! This is worth doing at the start as it will make your life so much easier when it comes to making sales and using PrintShrimp further down the line. What is an SKU? It is a ‘stock keeping unit’, and is essentially just a product identifier. Your SKUs need to match your file name that you upload to PrintShrimp. For example, if you made a poster about the eiffel tower, you can literally name the SKU eiffel-tower. There is no need to complicate things! As long as your file name (as in the image name of your poster on your computer) matches your SKU, you will be good to go.  \-It may be more beneficial to set up a system with unique identifiers, to make organising your files a lot easier further down the line. Say you get to 1000 posters eventually, you’ll want to be able to quickly search a code, and also ensure every SKU is always unique, so you won’t run into accidentally using the same SKU twice further down the line. For example, you can set it up so at the start of each file name, you have \[unique id\]\[info\], so your files will look like -  A1eiffeltower A2france And further down the line: A99aperolspritz B1potatoart This not only removes the potential issue of duplicating SKUs accidentally (for example if you made a few posters of the same subject), but also keeps your files well organised. If you need to find a file, you can search your files according to the code, so just by searching ‘a1’ for example, rather than having to trawl through a load of different files until you find the correct one. \-If your poster has variations, for example color variations, you can set a different SKU for each variation. Just click the little box when setting up variations that says ‘SKUs vary for each (variation)’. So if you have a poster available either in a white or black background, you can name each file, and therefore each SKU, a1eiffel-tower-black and a1eiffel-tower-white for example. \-The same goes for different sizes. As different American sizes have different aspect ratios, as mentioned above you may have to reformat some posters if you get a sale for one of these sizes. You can then add in the SKU to your listing once you have reformatted your poster. So for example if you sell a 16x20” version of the eiffel tower poster, you can name this file eiffel-tower-white-1620. Whilst this involves a little bit of set up, the time it saves you overall is massive!  Variations and Prices \-So, when selling posters there is a huge variety of sizes that you can offer, as mentioned previously. Non-negotiable is that you should be offering A5-A1. These will likely be your main sellers! Especially in the UK. It is also a good idea to offer inch sizing to appeal to a global audience (as bear in mind with PrintShrimp you will be able to print in multiple countries around the world!).  Below is a recommended pricing structure of what to charge on Etsy. Feel free to mess around with these! You may notice on Etsy that many shops charge a whole lot more for sizes such as A1, 24x36” etc. In my experience I prefer charging a lower rate to attract more sales, but there is validity in going for a lower amount of sales with higher profits. As mentioned above, you can also offer different variations on items - for example different colour schemes on posters. This is always a decent idea (if it suits the design) as it provides the customer with more options, which might help to convert the sale. You can always add this in later however if you want to keep it simple while you start! Setting up shipping profiles Etsy makes it very easy to set up different shipping rates for different countries. However, luckily with PrintShrimp you can offer free shipping to the majority of the major countries that are active on Etsy!  Using PrintShrimp means that your production costs are low enough in each domestic market to justify this. If you look on Etsy you can see there are many shops that post internationally to countries such as the US or Australia. Therefore, they often charge £8-10 in postage, and have a delivery time of 1-2 weeks. This really limits their customer base to their domestic market.  Using PrintShrimp avoids this and means you can offer free shipping (as we absorb the shipping cost in our prices) to the major markets of the UK, Australia, and USA (Europe coming soon!).  We also offer a 1 day processing time, unlike many POD poster suppliers. This means you can set your Etsy processing time to just one day, which combined with our quick shipping, means you will be one of the quickest on Etsy at sending out orders. This is obviously very attractive for customers, who are often very impatient with wanting their orders!  Getting the sales and extra tips \-Don’t list an insane amount of listings when you first get started. Etsy will be like ‘hang on a second’ if a brand new shop suddenly has 200 items in the first week. Warm up your account, and take things slow as you get going. We recommend 5 a day for the first week or so, and then you can start uploading more. You don’t want Etsy to flag your account for suspicious bot-like activity when you first get going.  \-It is very easy to copy listings when creating a new one. Simply select an old listing and press copy, and then you can just change the listing specific details to create a new one, rather than having to start from scratch. It can feel like a bit of a ball-ache setting up your first ever listing, but from then on you can just copy it over and just change the specifics.  \-Try and organize your listings into sections! This really helps the customer journey. Sometimes a customer will click onto your shop after seeing one of your listings, so it really helps if they can easily navigate your shop for what they are looking for. So, you now have a fully fledged Etsy shop. Well done! Time to start making £3,000 a month straight away right? Not quite. Please bear in mind, patience is key when starting out. If you started doing this because you are £10,000 in debt to the Albanian mafia and need to pay it off next week, you have come into this in the wrong frame of mind. If you have however started this to slowly build up a side hustle which hopefully one day become your full time gig, then winner winner chicken dinner.  Starting out on Etsy isn’t always easy. It takes time for your shop to build up trust! As I’ve said before, a buyer is far more likely to purchase from a shop with 1000s of reviews, than a brand new one with 0. But before you know it, you can become one of these shops! One thing you can do at the very start is to encourage your friends and family to buy your posters! This is a slightly naughty way of getting a few sales at the start, of course followed by a few glowing 5\* reviews. It really helps to give your shop this little boost at the start, so if this is something you can do then I recommend it.  Okay, so once you have a fully fledged shop with a decent amount of listings, you might be expecting the sales to start rolling in. And, if you are lucky, they indeed might. However, in my experience, you need to give your listings a little boost. So let us introduce you to: The wonderful world of Etsy ads Ads!! Oh no, that means money!! We imagine some of you more risk averse people are saying to yourself right now. And yes, it indeed does. But more often than not unfortunately you do have to spend money to make money.  Fortunately, in my experience anyway, Etsy ads do tend to work. This does however only apply if your products are actually good however, so if you’re back here after paying for ads for 2 months and are losing money at the same rate as your motivation, maybe go back to the start of this guide and pick another niche.  When you first start out, there are two main strategies.  Number 1: The Safer Option So, with PrintShrimp, you will essentially be making a minimum of £6 profit per order. With this in mind, I normally start a new shop with a safer strategy of advertising my products with a budget of $3-5 dollars a day. This then means that at the start, you only need to make 1 sale to break even, and anything above that is pure profit! This might not seem like the most dazzling proposition right now, but again please bear in mind that growth will be slow at the start. This means that you can gradually grow your shop, and therefore the trust that customers have in your shop, over time with a very small risk of ever actually losing money. Number 2: The Billy Big Balls Option If you were yawning while reading the first option, then this strategy may be for you. This will be better suited to those of you that are a bit more risk prone, and it also helps if you have a bit more cash to invest at the start. Through this strategy, you can essentially pay your way to the top of Etsy's rankings. For this, you’ll probably be looking at spending $20 a day on ads. So, this can really add up quickly and is definitely the riskier option. In my experience, the level of sales with this may not always match up to your spend every day. You may find that some days you rake in about 10 sales, and other days only one. But what this does mean is that as your listings get seen and purchased more, they will begin to rank higher in Etsy’s organic search rankings, at a much quicker rate than option one. This is the beauty of Etsy’s ads. You can pay to boost your products, but then results from this paid promotion feed into the organic ranking of your products. So you may find that you can splash the cash for a while at the start in order to race to the top, and then drop your ad spending later on when your products are already ranking well.  Sending your poster orders So, you’ve now done the hard bit. You have a running Etsy store, and essentially all you need to now on a daily basis is send out your orders and reply to customer messages! This is where it really becomes passive income.  \-Check out the PrintShrimp order portal. Simply sign up, and you can place individual orders through there. \-Bulk upload: We have an option to bulk upload your Esty orders via csv.  Seriously, when you are up and running with your first store, it is really as easy as that.  Once you have your first Etsy store up and running, you can think about expanding. There are many ways to expand your income. You can set up other Etsy stores, as long as the type of posters you are selling varies. You can look into setting up your own Shopify stores, and advertise them through Facebook, Instagram etc. Through this guide, we will teach you everything you need to know about starting to sell posters and generate some income. We will also show you why PrintShrimp is the best POD supplier for all of your poster needs. Trust me, you won’t need much convincing.

How to increase the sales of my book
reddit
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danonino80This week

How to increase the sales of my book

In just 3 months, it generated over $100 in revenue. I wanted to share my journey for two reasons: to potentially assist others in self-publishing their own books and to receive feedback to enhance my marketing strategy. I envision that there are others facing similar challenges. Let's dive into the financials, time spent, Key takeaways and the Challenges to address behind this product. Finances First, let's take a look at the financial overview. 💳 Expenses 🔹 E-book creation: · Book cover: $ 0. I used Adobe Express with 30 days of free trial. · ChatGPT: 20 $ a month. I leveraged AI to generate the chapters of the book, ensuring that no critical topics were overlooked during the content creation process and to refine the English, as it's not my native language. I also used to help me with copywriting of the web. If anyone is interested, I can share my Python code for outlining the chapters calling the API, but you can also directly ask chatgpt. · Kindle KDP (Kindle Direct Publishing): order author copies: 10 $. 🔹 Web creation: Domain: I got a com) / .org /.net domain for just 1 $ the first year. Carrd.co subscription: 19 $ (1 year) 🔹 Marketing: Promoted post on reddit: $30 Paid ads with google ads: $30 💰 Revenue 🔸 Sales: $102 💸 Net Profit: \~- $ 18 I initially thought the sales for this e-book would be quite modest, maybe only 3 or 4 books. However, the fact that I've sold more than that so far is a pleasant surprise. Even though the overall numbers may still be considered "peanuts" in the grand scheme of book sales, it suggests there could be more demand for content on digital asset custody than I had originally anticipated. This is a good learning experience, and I'll look to refine my marketing approach to see if I can reach a wider audience interested in this topic 🔹 Time Spent Next, let's review the time invested. 📖 Writing the e-book: 40 hours 🌍 Website + Stripe integration: 10 hours 📣 Creating promotional content: 10 hours ⏱️ Additional marketing efforts: 5 hours Total time spent: 65 hours As you can see, I dedicated more time to writing the e-book itself than to marketing and distribution. I spent relevant time to marketing because I though that a successful product launch requires a robust marketing effort. Many e-book authors overlook this crucial aspect! I utilized three sales channels: · Amazon: I found that there were no books specifically about digital asset custody, resulting in strong positioning in Amazon searches. Additionally, my book immediately secured the top position in Google searches for "digital asset custody book." However, despite achieving 50% of sales in the UK, I have not received any reviews globally. Sales distribution for this channel: 20% physical book, 80% ebook. · Twitter: Daniel\_ZZ80. With only 46 followers, the performance on this platform has not been optimal. I am beginning to write posts related to digital assets to increase visibility. · Gumroad: Lockeyyy.gumroad.com. I offered a discounted version of the ebook, but have not yet made any sales through this channel. Key takeaways: · The process of creating this e-book was extremely fulfilling, and while it has garnered overwhelmingly positive feedback from friends and colleagues (not considered as sales), it has yet to receive any Amazon reviews ☹. · Kindle KDP proved to be ideal for a rapid go-to-market strategy. · AI is an excellent tool for generating ideas and providing access to global audiences with perfect grammar. Otherwise, I would need to hire a translator, which can be very expensive. · Despite offering a full 30-day money-back guarantee, leading me to believe that the quality of the content is indeed good. · I have gained valuable insights for future technical books. · Although the current financial balance may be negative, I anticipate reaching the break-even point within one month, and this has now become a passive income stream. However, I recognize the need to regularly update the content due to the rapidly changing nature of this field. Challenges to address: · Is the timing for launching this book appropriate? In other words, is the world of digital asset custody a trendy and interesting topic for the audience? · What is causing the lack of sales through Gumroad? · Should I seek assistance as my marketing efforts have not yielded results? · Why are there no reviews on Amazon? · Why are sales primarily concentrated in the EU with only one sale in the US, which is my main target market? Feedback is appreciated. If you're interested in learning more about my approach, feel free to send me a direct message. A bit about my background: After dedicating my entire career to the banking industry, I explored various side projects. As an IT professional, I have now transitioned into the digital asset realm. After three years of intensive study, I recently published my first book on digital asset custody. I hope you found this post informative. Cheers! P.S.: I'm currently in the process of launching two more books using this system. 😊

How to increase the sales of my book
reddit
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Human Vibe Score1
danonino80This week

How to increase the sales of my book

In just 3 months, it generated over $100 in revenue. I wanted to share my journey for two reasons: to potentially assist others in self-publishing their own books and to receive feedback to enhance my marketing strategy. I envision that there are others facing similar challenges. Let's dive into the financials, time spent, Key takeaways and the Challenges to address behind this product. Finances First, let's take a look at the financial overview. 💳 Expenses 🔹 E-book creation: · Book cover: $ 0. I used Adobe Express with 30 days of free trial. · ChatGPT: 20 $ a month. I leveraged AI to generate the chapters of the book, ensuring that no critical topics were overlooked during the content creation process and to refine the English, as it's not my native language. I also used to help me with copywriting of the web. If anyone is interested, I can share my Python code for outlining the chapters calling the API, but you can also directly ask chatgpt. · Kindle KDP (Kindle Direct Publishing): order author copies: 10 $. 🔹 Web creation: Domain: I got a com) / .org /.net domain for just 1 $ the first year. Carrd.co subscription: 19 $ (1 year) 🔹 Marketing: Promoted post on reddit: $30 Paid ads with google ads: $30 💰 Revenue 🔸 Sales: $102 💸 Net Profit: \~- $ 18 I initially thought the sales for this e-book would be quite modest, maybe only 3 or 4 books. However, the fact that I've sold more than that so far is a pleasant surprise. Even though the overall numbers may still be considered "peanuts" in the grand scheme of book sales, it suggests there could be more demand for content on digital asset custody than I had originally anticipated. This is a good learning experience, and I'll look to refine my marketing approach to see if I can reach a wider audience interested in this topic 🔹 Time Spent Next, let's review the time invested. 📖 Writing the e-book: 40 hours 🌍 Website + Stripe integration: 10 hours 📣 Creating promotional content: 10 hours ⏱️ Additional marketing efforts: 5 hours Total time spent: 65 hours As you can see, I dedicated more time to writing the e-book itself than to marketing and distribution. I spent relevant time to marketing because I though that a successful product launch requires a robust marketing effort. Many e-book authors overlook this crucial aspect! I utilized three sales channels: · Amazon: I found that there were no books specifically about digital asset custody, resulting in strong positioning in Amazon searches. Additionally, my book immediately secured the top position in Google searches for "digital asset custody book." However, despite achieving 50% of sales in the UK, I have not received any reviews globally. Sales distribution for this channel: 20% physical book, 80% ebook. · Twitter: Daniel\_ZZ80. With only 46 followers, the performance on this platform has not been optimal. I am beginning to write posts related to digital assets to increase visibility. · Gumroad: Lockeyyy.gumroad.com. I offered a discounted version of the ebook, but have not yet made any sales through this channel. Key takeaways: · The process of creating this e-book was extremely fulfilling, and while it has garnered overwhelmingly positive feedback from friends and colleagues (not considered as sales), it has yet to receive any Amazon reviews ☹. · Kindle KDP proved to be ideal for a rapid go-to-market strategy. · AI is an excellent tool for generating ideas and providing access to global audiences with perfect grammar. Otherwise, I would need to hire a translator, which can be very expensive. · Despite offering a full 30-day money-back guarantee, leading me to believe that the quality of the content is indeed good. · I have gained valuable insights for future technical books. · Although the current financial balance may be negative, I anticipate reaching the break-even point within one month, and this has now become a passive income stream. However, I recognize the need to regularly update the content due to the rapidly changing nature of this field. Challenges to address: · Is the timing for launching this book appropriate? In other words, is the world of digital asset custody a trendy and interesting topic for the audience? · What is causing the lack of sales through Gumroad? · Should I seek assistance as my marketing efforts have not yielded results? · Why are there no reviews on Amazon? · Why are sales primarily concentrated in the EU with only one sale in the US, which is my main target market? Feedback is appreciated. If you're interested in learning more about my approach, feel free to send me a direct message. A bit about my background: After dedicating my entire career to the banking industry, I explored various side projects. As an IT professional, I have now transitioned into the digital asset realm. After three years of intensive study, I recently published my first book on digital asset custody. I hope you found this post informative. Cheers! P.S.: I'm currently in the process of launching two more books using this system. 😊

AI ChatBo Business System Digital - Software Bring Yours SALES UP + COSTS DOWN With Digital Systems
reddit
LLM Vibe Score0
Human Vibe Score0
Individual_Brain_513This week

AI ChatBo Business System Digital - Software Bring Yours SALES UP + COSTS DOWN With Digital Systems

Recommend the AI ​​ChatBo Business System from especially for coaches & consultants, e-commerce and retail and build a passive income in the mega-trend of AI & WhatsApp marketing. Your advantages: Lifetime 10 percent recurring commissions for the software licenses. One-off 10% for the service. ​No more losses due to changing browsers and devices thanks to the unique multi-device tracking using hash key technology from our partner Klick-Tip (commissions are 46 percent higher on average). One of the largest companies in the German-speaking region for digital payment processing. Software made and hosted in Germany. Click here to get it now: https://bit.ly/3TXNKm9 Start with a little and let it grow ChatboOne is THE all-in-one solution for marketing and sales and is available in three versions... Base \- reduces your manual effort, improves the overview of your sales campaigns and increases the conversion of your website. Expert \- Automates communication with customers and interested parties, offers campaigns via email and WhatsApp and makes planning your customer appointments easier. Professional \- The complete package including websites and landing pages, member area and affiliate marketing tool. Brilliant for you: no matter where you are with your business, start at the optimal level and let the system grow with you until you reach the professional level. &#x200B; Click here to get it now: https://bit.ly/3TXNKm9 &#x200B;

Looking For Tech-Savvy Business Partner
reddit
LLM Vibe Score0
Human Vibe Score1
DesignedItThis week

Looking For Tech-Savvy Business Partner

Hi! I'm looking for a business partner to help with one of my product lines or we could create a new product line together. I would like the product to be a digital asset where we can sell it on another website, where the other website brings customers to our product so we don't have to market it at first. Our short-term goal will be to publish a product one month after connecting and then make $1 by the following month. Our 4-month goal will be to generate $2,500 - $7,500 in passive income per year for one product line. I'm not trying to make a lot of money right away, but am looking to setup enough passive income so we can both retire early in a few years. For this year, I wrote down 100's of ideas, tried 30 ideas, have 14 ideas that work, and have only 6 ideas that would be profitable. So I'll bring with me only the best of the best ideas. I'm all about efficiency and doing things in bulk to maximize profit and decrease time spent, using AI to generate text/images/audio but adding on that manual touch to make all digital products high-quality and 5 stars, and using software like Python to automate repetitive processes to create digital products. My main skillset: running a business, project management, creating design and technical documentation, marketing, hiring, budgeting, business analysis, graphic design, software development, app development, web design/development, AI development, databases, data engineering, cloud/Azure, data analysis, and reporting. I know many other skills too and can pick up and learn a new business or technical skill pretty quickly. I also have a friend who's in IT/security/networking/servers if we need to bring him in. A clone of myself would be perfect to connect with, but working with anyone with a different skillset would open up the digital product possibilities. I might put tech-savvy at the top of the list so you could figure out how to create new digital products, while business-savvy might be #2, Other skills might be specific to individual products. If you're interested in working together, then feel free to post below or message me!

Made 60k mrr for a business by just lead nurturing. Need suggestions and validation.
reddit
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Alarmed-Argument-605This week

Made 60k mrr for a business by just lead nurturing. Need suggestions and validation.

Apart from the story I need a suggestion and validation here. It's a bit long, skip to tl;dr if you couldn't handle length. A few days ago, I saw a person on Reddit sharing his struggles that, Even after generating a lot of leads from ads of Meta and Google (even with lowest cpc cpa cpl), he was not able to convert them into sales. Out of curiosity I dm'ed him with all fancy services that I offer and expressed that as a agency I would work with him for monthly recurring fee. He suggested for one time consulting fee, I agreed. It was literally a eye opener for me. This guy is in coaching business offering courses for people. His niche was too vague. Courses were on mindset coaching, confidence and public speaking coaching, right attitude coaching, manifestation coaching and all crap shits related to this. At first I thought he was not getting sales because who will pay for all this craps. I openly discussed with him that he has to change what he offers because, if I saw this ad I wouldn't buy this for sure. He then showed me how much money people offering similar service are making . I was literally taken back. He was part of a influencer group (the main guy who encourages these guys to start coaching business, looks like some mlm shit) where people post their succes stories. Literally lot of guys were making above 150k and 200k per month. Even with very basic landing page and average offer They are still winning. Here's where it gets interesting. I tried to clone everything that the top people in this industry are doing in marketing from end to end.( like the same landing page, bonus offers around 50k, exclusive community, free 1 on 1 calls for twice a month).Nothing worked for a month and later surprisingly even the sales started dropping a bit more. I got really confused here. So to do a discovery I went and purchased the competitor course and Man I was literally taken back. Like he has automated everything from end to end. You click the ad, see vsl, you have to fill a form and join a free Skool community where he gives away free stuffs and post success stories of people who took the course. Now every part of this journey you will get a follow up mail and follow up sms. Like after filling the form. after that now if you join and don't purchase the course you will be pampered with email and sms filled with success stories. For sure anybody will be tempted to buy the course. Here is the key take away. He was able to make more sales because he was very successful in nurturing the leads with follow ups after follow ups. Even after you purchased his course he is making passive income from 1 on calls and bonus live webinars. So follow ups will be for 1 on 1 calls and webinars after the course is over. Core point is our guy even after spending 2 to 3k per month on ads was not able to bring huge sales like competitors because he failed the nuture them. Even after making the same offers and the same patterns of marketing as competitors, the sales declined because people thought this is some spam that everyone is doing because the template of the ads was very professional and similar. suprising one is people fall for basic templates thinking it's a underrated one. so what we did here is we integrated a few softwares into one and set up all same webinars, automated email and sms follow ups, ad managers for stats, launched him a free LMS platform where without any additional fees so he can uploaded unlimited courses, skool like community and add product's like Shopify ( he was selling few merchandise with his brand name on) where he can add unlimited products with connection to all payment gateway, integrated with crm with unlimited contacts, workflow and lead nurturing with calender syncing for 1 on 1 calls. But these are a bit old school, what we did was even better. integrated a conversational ai with all of his sales platforms and gave a nocode automation builder with ai for the workflow. we also set him up with a ai voice agent that's automatically calls and markets for his course and also replies for queries when called. we also set up him a dedicated afflitate manager portal with automated commissions. Though he didn't cross 100k Mark, He did a great number after this. He was struggling with 6k sales, now he has reached somewhere mid of 45k to 50k mrr. Max he hit was 61.8k. I see this a big difference.So one small thing, nurturing the lead can bring you immense sales. To set up all of this it costs around 1.2k monthly for me with all the bills. ( I know there are few free for Individual user platforms out there, but It gets very costly when you switch to their premium plans. with heavy volumes you would require more than premium they offer.) I offered him like 3k per month to work as a agency for him who takes care of all these stuffs. He declined and offered for one time set up fee stating that he will pay 1.2k directly. The one time fee was also a bit low, though I agreed since this was a learning for me. what happened next after that is, he referred me to a few other people in the same niche. But the problem is they are not interested in spending 1 to 2 k in bills for software. They requested that if, will I be able to provide the saas alone for less than 500 dollars with one time set up fee. I haven't responded yet since I have to take an enterprise plan for all the software used and pay full advance price for billings. Then to break even that I have to make minimum 50 or odd users for that. let's grantly say 100 users with all other future costs. So here's what I'm planning to do. I'm planning to offer this as saas for let's say 239 dollars per month. with may or may not one time set up fee. ( I checked the entire internet, there is no single person offering at this price point for unlimited. Also one can easily start their marketing agency with this.) The suggestion and validation that I need here is 1.are you going through the same struggles or faced these struggles? would you be interested to buy at 239 dollars per month? let's say you're from a different niche, Did the features I told were okay for you or you need something specific for your industry that you will be interested in buying? please answer in comments and if you will purchase for this price let me know in comments/dms. I will take that into account and if the response rate is above 100 queries, then will integrate this and sell for that price. (ps: If you see this post on similar subs, please bear cause I'm trying to get suggestions from different POV) tl;dr - lead nurturing can massively boost sales *I made a software integration for a client for a 1.2k per month billing and here I want to know if more than 100 people are interested so that I will make this into my own saas and sell it for like a cheap price of 239 dollars per month TIA.

Looking For Tech-Savvy Business Partner
reddit
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Human Vibe Score1
DesignedItThis week

Looking For Tech-Savvy Business Partner

Hi! I'm looking for a business partner to help with one of my product lines or we could create a new product line together. I would like the product to be a digital asset where we can sell it on another website, where the other website brings customers to our product so we don't have to market it at first. Our short-term goal will be to publish a product one month after connecting and then make $1 by the following month. Our 4-month goal will be to generate $2,500 - $7,500 in passive income per year for one product line. I'm not trying to make a lot of money right away, but am looking to setup enough passive income so we can both retire early in a few years. For this year, I wrote down 100's of ideas, tried 30 ideas, have 14 ideas that work, and have only 6 ideas that would be profitable. So I'll bring with me only the best of the best ideas. I'm all about efficiency and doing things in bulk to maximize profit and decrease time spent, using AI to generate text/images/audio but adding on that manual touch to make all digital products high-quality and 5 stars, and using software like Python to automate repetitive processes to create digital products. My main skillset: running a business, project management, creating design and technical documentation, marketing, hiring, budgeting, business analysis, graphic design, software development, app development, web design/development, AI development, databases, data engineering, cloud/Azure, data analysis, and reporting. I know many other skills too and can pick up and learn a new business or technical skill pretty quickly. I also have a friend who's in IT/security/networking/servers if we need to bring him in. A clone of myself would be perfect to connect with, but working with anyone with a different skillset would open up the digital product possibilities. I might put tech-savvy at the top of the list so you could figure out how to create new digital products, while business-savvy might be #2, Other skills might be specific to individual products. If you're interested in working together, then feel free to post below or message me!

LLMs-from-scratch
github
LLM Vibe Score0.62
Human Vibe Score1
rasbtMar 28, 2025

LLMs-from-scratch

Build a Large Language Model (From Scratch) This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch). In Build a Large Language Model (From Scratch), you'll learn and understand how large language models (LLMs) work from the inside out by coding them from the ground up, step by step. In this book, I'll guide you through creating your own LLM, explaining each stage with clear text, diagrams, and examples. The method described in this book for training and developing your own small-but-functional model for educational purposes mirrors the approach used in creating large-scale foundational models such as those behind ChatGPT. In addition, this book includes code for loading the weights of larger pretrained models for finetuning. Link to the official source code repository Link to the book at Manning (the publisher's website) Link to the book page on Amazon.com ISBN 9781633437166 To download a copy of this repository, click on the Download ZIP button or execute the following command in your terminal: (If you downloaded the code bundle from the Manning website, please consider visiting the official code repository on GitHub at https://github.com/rasbt/LLMs-from-scratch for the latest updates.) Table of Contents Please note that this README.md file is a Markdown (.md) file. If you have downloaded this code bundle from the Manning website and are viewing it on your local computer, I recommend using a Markdown editor or previewer for proper viewing. If you haven't installed a Markdown editor yet, MarkText is a good free option. You can alternatively view this and other files on GitHub at https://github.com/rasbt/LLMs-from-scratch in your browser, which renders Markdown automatically. Tip: If you're seeking guidance on installing Python and Python packages and setting up your code environment, I suggest reading the README.md file located in the setup directory. | Chapter Title | Main Code (for Quick Access) | All Code + Supplementary | |------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|-------------------------------| | Setup recommendations | - | - | | Ch 1: Understanding Large Language Models | No code | - | | Ch 2: Working with Text Data | - ch02.ipynb- dataloader.ipynb (summary)- exercise-solutions.ipynb | ./ch02 | | Ch 3: Coding Attention Mechanisms | - ch03.ipynb- multihead-attention.ipynb (summary) - exercise-solutions.ipynb| ./ch03 | | Ch 4: Implementing a GPT Model from Scratch | - ch04.ipynb- gpt.py (summary)- exercise-solutions.ipynb | ./ch04 | | Ch 5: Pretraining on Unlabeled Data | - ch05.ipynb- gpttrain.py (summary) - gptgenerate.py (summary) - exercise-solutions.ipynb | ./ch05 | | Ch 6: Finetuning for Text Classification | - ch06.ipynb - gptclassfinetune.py - exercise-solutions.ipynb | ./ch06 | | Ch 7: Finetuning to Follow Instructions | - ch07.ipynb- gptinstructionfinetuning.py (summary)- ollamaevaluate.py (summary)- exercise-solutions.ipynb | ./ch07 | | Appendix A: Introduction to PyTorch | - code-part1.ipynb- code-part2.ipynb- DDP-script.py- exercise-solutions.ipynb | ./appendix-A | | Appendix B: References and Further Reading | No code | - | | Appendix C: Exercise Solutions | No code | - | | Appendix D: Adding Bells and Whistles to the Training Loop | - appendix-D.ipynb | ./appendix-D | | Appendix E: Parameter-efficient Finetuning with LoRA | - appendix-E.ipynb | ./appendix-E | The mental model below summarizes the contents covered in this book. Hardware Requirements The code in the main chapters of this book is designed to run on conventional laptops within a reasonable timeframe and does not require specialized hardware. This approach ensures that a wide audience can engage with the material. Additionally, the code automatically utilizes GPUs if they are available. (Please see the setup doc for additional recommendations.) Bonus Material Several folders contain optional materials as a bonus for interested readers: Setup Python Setup Tips Installing Python Packages and Libraries Used In This Book Docker Environment Setup Guide Chapter 2: Working with text data Byte Pair Encoding (BPE) Tokenizer From Scratch Comparing Various Byte Pair Encoding (BPE) Implementations Understanding the Difference Between Embedding Layers and Linear Layers Dataloader Intuition with Simple Numbers Chapter 3: Coding attention mechanisms Comparing Efficient Multi-Head Attention Implementations Understanding PyTorch Buffers Chapter 4: Implementing a GPT model from scratch FLOPS Analysis Chapter 5: Pretraining on unlabeled data: Alternative Weight Loading Methods Pretraining GPT on the Project Gutenberg Dataset Adding Bells and Whistles to the Training Loop Optimizing Hyperparameters for Pretraining Building a User Interface to Interact With the Pretrained LLM Converting GPT to Llama Llama 3.2 From Scratch Memory-efficient Model Weight Loading Extending the Tiktoken BPE Tokenizer with New Tokens PyTorch Performance Tips for Faster LLM Training Chapter 6: Finetuning for classification Additional experiments finetuning different layers and using larger models Finetuning different models on 50k IMDB movie review dataset Building a User Interface to Interact With the GPT-based Spam Classifier Chapter 7: Finetuning to follow instructions Dataset Utilities for Finding Near Duplicates and Creating Passive Voice Entries Evaluating Instruction Responses Using the OpenAI API and Ollama Generating a Dataset for Instruction Finetuning Improving a Dataset for Instruction Finetuning Generating a Preference Dataset with Llama 3.1 70B and Ollama Direct Preference Optimization (DPO) for LLM Alignment Building a User Interface to Interact With the Instruction Finetuned GPT Model Questions, Feedback, and Contributing to This Repository I welcome all sorts of feedback, best shared via the Manning Forum or GitHub Discussions. Likewise, if you have any questions or just want to bounce ideas off others, please don't hesitate to post these in the forum as well. Please note that since this repository contains the code corresponding to a print book, I currently cannot accept contributions that would extend the contents of the main chapter code, as it would introduce deviations from the physical book. Keeping it consistent helps ensure a smooth experience for everyone. Citation If you find this book or code useful for your research, please consider citing it. Chicago-style citation: Raschka, Sebastian. Build A Large Language Model (From Scratch). Manning, 2024. ISBN: 978-1633437166. BibTeX entry:

aima-python
github
LLM Vibe Score0.575
Human Vibe Score0.33114909407186394
aimacodeMar 28, 2025

aima-python

aima-python Python code for the book Artificial Intelligence: A Modern Approach. You can use this in conjunction with a course on AI, or for study on your own. We're looking for solid contributors to help. Updates for 4th Edition The 4th edition of the book as out now in 2020, and thus we are updating the code. All code here will reflect the 4th edition. Changes include: Move from Python 3.5 to 3.7. More emphasis on Jupyter (Ipython) notebooks. More projects using external packages (tensorflow, etc.). Structure of the Project When complete, this project will have Python implementations for all the pseudocode algorithms in the book, as well as tests and examples of use. For each major topic, such as search, we provide the following files: search.ipynb and search.py: Implementations of all the pseudocode algorithms, and necessary support functions/classes/data. The .py file is generated automatically from the .ipynb file; the idea is that it is easier to read the documentation in the .ipynb file. search_XX.ipynb: Notebooks that show how to use the code, broken out into various topics (the XX). tests/test_search.py: A lightweight test suite, using assert statements, designed for use with py.test, but also usable on their own. Python 3.7 and up The code for the 3rd edition was in Python 3.5; the current 4th edition code is in Python 3.7. It should also run in later versions, but does not run in Python 2. You can install Python or use a browser-based Python interpreter such as repl.it. You can run the code in an IDE, or from the command line with python -i filename.py where the -i option puts you in an interactive loop where you can run Python functions. All notebooks are available in a binder environment. Alternatively, visit jupyter.org for instructions on setting up your own Jupyter notebook environment. Features from Python 3.6 and 3.7 that we will be using for this version of the code: f-strings: all string formatting should be done with f'var = {var}', not with 'var = {}'.format(var) nor 'var = %s' % var. typing module: declare functions with type hints: def successors(state) -> List[State]:; that is, give type declarations, but omit them when it is obvious. I don't need to say state: State, but in another context it would make sense to say s: State. Underscores in numerics: write a million as 1000000 not as 1000000. dataclasses module: replace namedtuple with dataclass. [//]: (There is a sibling [aima-docker]https://github.com/rajatjain1997/aima-docker project that shows you how to use docker containers to run more complex problems in more complex software environments.) Installation Guide To download the repository: git clone https://github.com/aimacode/aima-python.git Then you need to install the basic dependencies to run the project on your system: You also need to fetch the datasets from the aima-data repository: Wait for the datasets to download, it may take a while. Once they are downloaded, you need to install pytest, so that you can run the test suite: pip install pytest Then to run the tests: py.test And you are good to go! Index of Algorithms Here is a table of algorithms, the figure, name of the algorithm in the book and in the repository, and the file where they are implemented in the repository. This chart was made for the third edition of the book and is being updated for the upcoming fourth edition. Empty implementations are a good place for contributors to look for an issue. The aima-pseudocode project describes all the algorithms from the book. An asterisk next to the file name denotes the algorithm is not fully implemented. Another great place for contributors to start is by adding tests and writing on the notebooks. You can see which algorithms have tests and notebook sections below. If the algorithm you want to work on is covered, don't worry! You can still add more tests and provide some examples of use in the notebook! | Figure | Name (in 3rd edition) | Name (in repository) | File | Tests | Notebook |:-------|:----------------------------------|:------------------------------|:--------------------------------|:-----|:---------| | 2 | Random-Vacuum-Agent | RandomVacuumAgent | [agents.py][agents] | Done | Included | | 2 | Model-Based-Vacuum-Agent | ModelBasedVacuumAgent | [agents.py][agents] | Done | Included | | 2.1 | Environment | Environment | [agents.py][agents] | Done | Included | | 2.1 | Agent | Agent | [agents.py][agents] | Done | Included | | 2.3 | Table-Driven-Vacuum-Agent | TableDrivenVacuumAgent | [agents.py][agents] | Done | Included | | 2.7 | Table-Driven-Agent | TableDrivenAgent | [agents.py][agents] | Done | Included | | 2.8 | Reflex-Vacuum-Agent | ReflexVacuumAgent | [agents.py][agents] | Done | Included | | 2.10 | Simple-Reflex-Agent | SimpleReflexAgent | [agents.py][agents] | Done | Included | | 2.12 | Model-Based-Reflex-Agent | ReflexAgentWithState | [agents.py][agents] | Done | Included | | 3 | Problem | Problem | [search.py][search] | Done | Included | | 3 | Node | Node | [search.py][search] | Done | Included | | 3 | Queue | Queue | [utils.py][utils] | Done | No Need | | 3.1 | Simple-Problem-Solving-Agent | SimpleProblemSolvingAgent | [search.py][search] | Done | Included | | 3.2 | Romania | romania | [search.py][search] | Done | Included | | 3.7 | Tree-Search | depth/breadthfirsttree_search | [search.py][search] | Done | Included | | 3.7 | Graph-Search | depth/breadthfirstgraph_search | [search.py][search] | Done | Included | | 3.11 | Breadth-First-Search | breadthfirstgraph_search | [search.py][search] | Done | Included | | 3.14 | Uniform-Cost-Search | uniformcostsearch | [search.py][search] | Done | Included | | 3.17 | Depth-Limited-Search | depthlimitedsearch | [search.py][search] | Done | Included | | 3.18 | Iterative-Deepening-Search | iterativedeepeningsearch | [search.py][search] | Done | Included | | 3.22 | Best-First-Search | bestfirstgraph_search | [search.py][search] | Done | Included | | 3.24 | A\*-Search | astar_search | [search.py][search] | Done | Included | | 3.26 | Recursive-Best-First-Search | recursivebestfirst_search | [search.py][search] | Done | Included | | 4.2 | Hill-Climbing | hill_climbing | [search.py][search] | Done | Included | | 4.5 | Simulated-Annealing | simulated_annealing | [search.py][search] | Done | Included | | 4.8 | Genetic-Algorithm | genetic_algorithm | [search.py][search] | Done | Included | | 4.11 | And-Or-Graph-Search | andorgraph_search | [search.py][search] | Done | Included | | 4.21 | Online-DFS-Agent | onlinedfsagent | [search.py][search] | Done | Included | | 4.24 | LRTA\*-Agent | LRTAStarAgent | [search.py][search] | Done | Included | | 5.3 | Minimax-Decision | minimax_decision | [games.py][games] | Done | Included | | 5.7 | Alpha-Beta-Search | alphabeta_search | [games.py][games] | Done | Included | | 6 | CSP | CSP | [csp.py][csp] | Done | Included | | 6.3 | AC-3 | AC3 | [csp.py][csp] | Done | Included | | 6.5 | Backtracking-Search | backtracking_search | [csp.py][csp] | Done | Included | | 6.8 | Min-Conflicts | min_conflicts | [csp.py][csp] | Done | Included | | 6.11 | Tree-CSP-Solver | treecspsolver | [csp.py][csp] | Done | Included | | 7 | KB | KB | [logic.py][logic] | Done | Included | | 7.1 | KB-Agent | KB_AgentProgram | [logic.py][logic] | Done | Included | | 7.7 | Propositional Logic Sentence | Expr | [utils.py][utils] | Done | Included | | 7.10 | TT-Entails | tt_entails | [logic.py][logic] | Done | Included | | 7.12 | PL-Resolution | pl_resolution | [logic.py][logic] | Done | Included | | 7.14 | Convert to CNF | to_cnf | [logic.py][logic] | Done | Included | | 7.15 | PL-FC-Entails? | plfcentails | [logic.py][logic] | Done | Included | | 7.17 | DPLL-Satisfiable? | dpll_satisfiable | [logic.py][logic] | Done | Included | | 7.18 | WalkSAT | WalkSAT | [logic.py][logic] | Done | Included | | 7.20 | Hybrid-Wumpus-Agent | HybridWumpusAgent | | | | | 7.22 | SATPlan | SAT_plan | [logic.py][logic] | Done | Included | | 9 | Subst | subst | [logic.py][logic] | Done | Included | | 9.1 | Unify | unify | [logic.py][logic] | Done | Included | | 9.3 | FOL-FC-Ask | folfcask | [logic.py][logic] | Done | Included | | 9.6 | FOL-BC-Ask | folbcask | [logic.py][logic] | Done | Included | | 10.1 | Air-Cargo-problem | air_cargo | [planning.py][planning] | Done | Included | | 10.2 | Spare-Tire-Problem | spare_tire | [planning.py][planning] | Done | Included | | 10.3 | Three-Block-Tower | threeblocktower | [planning.py][planning] | Done | Included | | 10.7 | Cake-Problem | havecakeandeatcake_too | [planning.py][planning] | Done | Included | | 10.9 | Graphplan | GraphPlan | [planning.py][planning] | Done | Included | | 10.13 | Partial-Order-Planner | PartialOrderPlanner | [planning.py][planning] | Done | Included | | 11.1 | Job-Shop-Problem-With-Resources | jobshopproblem | [planning.py][planning] | Done | Included | | 11.5 | Hierarchical-Search | hierarchical_search | [planning.py][planning] | Done | Included | | 11.8 | Angelic-Search | angelic_search | [planning.py][planning] | Done | Included | | 11.10 | Doubles-tennis | doubletennisproblem | [planning.py][planning] | Done | Included | | 13 | Discrete Probability Distribution | ProbDist | [probability.py][probability] | Done | Included | | 13.1 | DT-Agent | DTAgent | [probability.py][probability] | Done | Included | | 14.9 | Enumeration-Ask | enumeration_ask | [probability.py][probability] | Done | Included | | 14.11 | Elimination-Ask | elimination_ask | [probability.py][probability] | Done | Included | | 14.13 | Prior-Sample | prior_sample | [probability.py][probability] | Done | Included | | 14.14 | Rejection-Sampling | rejection_sampling | [probability.py][probability] | Done | Included | | 14.15 | Likelihood-Weighting | likelihood_weighting | [probability.py][probability] | Done | Included | | 14.16 | Gibbs-Ask | gibbs_ask | [probability.py][probability] | Done | Included | | 15.4 | Forward-Backward | forward_backward | [probability.py][probability] | Done | Included | | 15.6 | Fixed-Lag-Smoothing | fixedlagsmoothing | [probability.py][probability] | Done | Included | | 15.17 | Particle-Filtering | particle_filtering | [probability.py][probability] | Done | Included | | 16.9 | Information-Gathering-Agent | InformationGatheringAgent | [probability.py][probability] | Done | Included | | 17.4 | Value-Iteration | value_iteration | [mdp.py][mdp] | Done | Included | | 17.7 | Policy-Iteration | policy_iteration | [mdp.py][mdp] | Done | Included | | 17.9 | POMDP-Value-Iteration | pomdpvalueiteration | [mdp.py][mdp] | Done | Included | | 18.5 | Decision-Tree-Learning | DecisionTreeLearner | [learning.py][learning] | Done | Included | | 18.8 | Cross-Validation | cross_validation | [learning.py][learning]\* | | | | 18.11 | Decision-List-Learning | DecisionListLearner | [learning.py][learning]\* | | | | 18.24 | Back-Prop-Learning | BackPropagationLearner | [learning.py][learning] | Done | Included | | 18.34 | AdaBoost | AdaBoost | [learning.py][learning] | Done | Included | | 19.2 | Current-Best-Learning | currentbestlearning | knowledge.py | Done | Included | | 19.3 | Version-Space-Learning | versionspacelearning | knowledge.py | Done | Included | | 19.8 | Minimal-Consistent-Det | minimalconsistentdet | knowledge.py | Done | Included | | 19.12 | FOIL | FOIL_container | knowledge.py | Done | Included | | 21.2 | Passive-ADP-Agent | PassiveADPAgent | [rl.py][rl] | Done | Included | | 21.4 | Passive-TD-Agent | PassiveTDAgent | [rl.py][rl] | Done | Included | | 21.8 | Q-Learning-Agent | QLearningAgent | [rl.py][rl] | Done | Included | | 22.1 | HITS | HITS | [nlp.py][nlp] | Done | Included | | 23 | Chart-Parse | Chart | [nlp.py][nlp] | Done | Included | | 23.5 | CYK-Parse | CYK_parse | [nlp.py][nlp] | Done | Included | | 25.9 | Monte-Carlo-Localization | montecarlolocalization | [probability.py][probability] | Done | Included | Index of data structures Here is a table of the implemented data structures, the figure, name of the implementation in the repository, and the file where they are implemented. | Figure | Name (in repository) | File | |:-------|:--------------------------------|:--------------------------| | 3.2 | romania_map | [search.py][search] | | 4.9 | vacumm_world | [search.py][search] | | 4.23 | onedimstate_space | [search.py][search] | | 6.1 | australia_map | [search.py][search] | | 7.13 | wumpusworldinference | [logic.py][logic] | | 7.16 | hornclausesKB | [logic.py][logic] | | 17.1 | sequentialdecisionenvironment | [mdp.py][mdp] | | 18.2 | waitingdecisiontree | [learning.py][learning] | Acknowledgements Many thanks for contributions over the years. I got bug reports, corrected code, and other support from Darius Bacon, Phil Ruggera, Peng Shao, Amit Patil, Ted Nienstedt, Jim Martin, Ben Catanzariti, and others. Now that the project is on GitHub, you can see the contributors who are doing a great job of actively improving the project. Many thanks to all contributors, especially @darius, @SnShine, @reachtarunhere, @antmarakis, @Chipe1, @ad71 and @MariannaSpyrakou. [agents]:../master/agents.py [csp]:../master/csp.py [games]:../master/games.py [grid]:../master/grid.py [knowledge]:../master/knowledge.py [learning]:../master/learning.py [logic]:../master/logic.py [mdp]:../master/mdp.py [nlp]:../master/nlp.py [planning]:../master/planning.py [probability]:../master/probability.py [rl]:../master/rl.py [search]:../master/search.py [utils]:../master/utils.py [text]:../master/text.py

aima-java
github
LLM Vibe Score0.521
Human Vibe Score0.06620214044837505
aimacodeMar 25, 2025

aima-java

AIMA3e-Java (JDK 8+) Java implementation of algorithms from Russell and Norvig's Artificial Intelligence - A Modern Approach 3rd Edition. You can use this in conjunction with a course on AI, or for study on your own. We're looking for solid contributors to help. Getting Started Links Overview of Project Interested in Contributing Setting up your own workspace Comments on architecture and design Demo Applications that can be run from your browser (unfortunately not up to date) Javadoc for the aima-core project (outdated) Download the latest official (but outdated) version = 1.9.1 (Dec 18 2016) Latest Maven Information (for integration as a third party library) Index of Implemented Algorithms |Figure|Page|Name (in 3rd edition)|Code | -------- |:--------:| :-----| :----- | |2|34|Environment|Environment| |2.1|35|Agent|Agent| |2.3|36|Table-Driven-Vacuum-Agent|TableDrivenVacuumAgent| |2.7|47|Table-Driven-Agent|TableDrivenAgentProgram| |2.8|48|Reflex-Vacuum-Agent|ReflexVacuumAgent| |2.10|49|Simple-Reflex-Agent|SimpleReflexAgentProgram| |2.12|51|Model-Based-Reflex-Agent|ModelBasedReflexAgentProgram| |3|66|Problem|Problem| |3.1|67|Simple-Problem-Solving-Agent|SimpleProblemSolvingAgent| |3.2|68|Romania|SimplifiedRoadMapOfRomania| |3.7|77|Tree-Search|TreeSearch| |3.7|77|Graph-Search|GraphSearch| |3.10|79|Node|Node| |3.11|82|Breadth-First-Search|BreadthFirstSearch| |3.14|84|Uniform-Cost-Search|UniformCostSearch| |3|85|Depth-first Search|DepthFirstSearch| |3.17|88|Depth-Limited-Search|DepthLimitedSearch| |3.18|89|Iterative-Deepening-Search|IterativeDeepeningSearch| |3|90|Bidirectional search|BidirectionalSearch| |3|92|Best-First search|BestFirstSearch| |3|92|Greedy best-First search|GreedyBestFirstSearch| |3|93|A\* Search|AStarSearch| |3.26|99|Recursive-Best-First-Search |RecursiveBestFirstSearch| |4.2|122|Hill-Climbing|HillClimbingSearch| |4.5|126|Simulated-Annealing|SimulatedAnnealingSearch| |4.8|129|Genetic-Algorithm|GeneticAlgorithm| |4.11|136|And-Or-Graph-Search|AndOrSearch| |4|147|Online search problem|OnlineSearchProblem| |4.21|150|Online-DFS-Agent|OnlineDFSAgent| |4.24|152|LRTA\*-Agent|LRTAStarAgent| |5.3|166|Minimax-Decision|MinimaxSearch| |5.7|170|Alpha-Beta-Search|AlphaBetaSearch| |6|202|CSP|CSP| |6.1|204|Map CSP|MapCSP| |6.3|209|AC-3|AC3Strategy| |6.5|215|Backtracking-Search|AbstractBacktrackingSolver| |6.8|221|Min-Conflicts|MinConflictsSolver| |6.11|224|Tree-CSP-Solver|TreeCspSolver| |7|235|Knowledge Base|KnowledgeBase| |7.1|236|KB-Agent|KBAgent| |7.7|244|Propositional-Logic-Sentence|Sentence| |7.10|248|TT-Entails|TTEntails| |7|253|Convert-to-CNF|ConvertToCNF| |7.12|255|PL-Resolution|PLResolution| |7.15|258|PL-FC-Entails?|PLFCEntails| |7.17|261|DPLL-Satisfiable?|DPLLSatisfiable| |7.18|263|WalkSAT|WalkSAT| |7.20|270|Hybrid-Wumpus-Agent|HybridWumpusAgent| |7.22|272|SATPlan|SATPlan| |9|323|Subst|SubstVisitor| |9.1|328|Unify|Unifier| |9.3|332|FOL-FC-Ask|FOLFCAsk| |9.6|338|FOL-BC-Ask|FOLBCAsk| |9|345|CNF|CNFConverter| |9|347|Resolution|FOLTFMResolution| |9|354|Demodulation|Demodulation| |9|354|Paramodulation|Paramodulation| |9|345|Subsumption|SubsumptionElimination| |10.9|383|Graphplan|GraphPlan| |11.5|409|Hierarchical-Search|HierarchicalSearchAlgorithm| |11.8|414|Angelic-Search|---| |13.1|484|DT-Agent|DT-Agent| |13|484|Probability-Model|ProbabilityModel| |13|487|Probability-Distribution|ProbabilityDistribution| |13|490|Full-Joint-Distribution|FullJointDistributionModel| |14|510|Bayesian Network|BayesianNetwork| |14.9|525|Enumeration-Ask|EnumerationAsk| |14.11|528|Elimination-Ask|EliminationAsk| |14.13|531|Prior-Sample|PriorSample| |14.14|533|Rejection-Sampling|RejectionSampling| |14.15|534|Likelihood-Weighting|LikelihoodWeighting| |14.16|537|GIBBS-Ask|GibbsAsk| |15.4|576|Forward-Backward|ForwardBackward| |15|578|Hidden Markov Model|HiddenMarkovModel| |15.6|580|Fixed-Lag-Smoothing|FixedLagSmoothing| |15|590|Dynamic Bayesian Network|DynamicBayesianNetwork| |15.17|598|Particle-Filtering|ParticleFiltering| |16.9|632|Information-Gathering-Agent|InformationGatheringAgent| |17|647|Markov Decision Process|MarkovDecisionProcess| |17.4|653|Value-Iteration|ValueIteration| |17.7|657|Policy-Iteration|PolicyIteration| |17.9|663|POMDP-Value-Iteration|POMDPValueIteration| |18.5|702|Decision-Tree-Learning|DecisionTreeLearner| |18.8|710|Cross-Validation-Wrapper|CrossValidation| |18.11|717|Decision-List-Learning|DecisionListLearner| |18.24|734|Back-Prop-Learning|BackPropLearning| |18.34|751|AdaBoost|AdaBoostLearner| |19.2|771|Current-Best-Learning|CurrentBestLearning| |19.3|773|Version-Space-Learning|VersionSpaceLearning| |19.8|786|Minimal-Consistent-Det|MinimalConsistentDet| |19.12|793|FOIL|FOIL| |21.2|834|Passive-ADP-Agent|PassiveADPAgent| |21.4|837|Passive-TD-Agent|PassiveTDAgent| |21.8|844|Q-Learning-Agent|QLearningAgent| |22.1|871|HITS|HITS| |23.5|894|CYK-Parse|CYK| |25.9|982|Monte-Carlo-Localization|MonteCarloLocalization| Index of implemented notebooks |Chapter No|Name |Status (in 3rd edition)|Status (in 4th edition) | -------- |:--------:| :-----| :----- | |3| Solving Problems by Searching| In Progress| Not started| |6| Constraint Satisfaction Problems |In Progress|---| |12| Knowledge Representation|Done|---| |13| Quantifying Uncertainty |Done | --- | |14| Probabilistic Reasoning|In Progress| ---| Before starting to work on a new notebook: Open a new issue with the following heading: Notebook: Chapter Name - Version . Check that the issue is not assigned to anyone. Mention a topics list of what you will be implementing in the notebook for that particular chapter. You can iteratively refine the list once you start working. Start a discussion on what can go in that particular notebook. "---" indicates algorithms yet to be implemented. Index of data structures Here is a table of the data structures yet to be implemented. |Fig|Page|Name (in book)|Code| | -------- |:--------:| :-----| :----- | |9.8|341|Append|---| |10.1|369|AIR-CARGO-TRANSPORT-PROBLEM|---| |10.2|370|SPARE-TIRE-PROBLEM|---| |10.3|371|BLOCKS-WORLD |---| |10.7|380|HAVE-CAKE-AND-EAT-CAKE-TOO-PROBLEM|---| |11.1|402|JOB-SHOP-SCHEDULING-PROBLEM|---| |11.4|407|REFINEMENT-HIGH-LEVEL-ACTIONS|---| |23.6|895|SENTENCE-TREE|---| |29.1|1062|POWERS-OF-2|---|

Awesome-Ai-Tools
github
LLM Vibe Score0.385
Human Vibe Score0.0020930582944730723
aliammari1Feb 21, 2025

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.

5 Genius Ways to Make Money From Home (Using AI)
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Charlie ChangNov 15, 2023

5 Genius Ways to Make Money From Home (Using AI)

Check out Fundrise to get started with investing in pre-IPO blue-chip companies that are leading the AI industry: http://fundrise.com/charliechang #fundrisetestimonial #fundrisepartner In this video, I'm going to share 5 genius ways to make money online, using AI (that are all proven). I'll also give you a clear outline and show you exactly how to leverage these new AI opportunities to make money online. ► Daily advice and BTS on my Instagram: https://www.instagram.com/charliechang/ ► Get access to my FREE side hustle courses: https://www.sidehustlemastery.com My favorite business must-haves: 💳 Best business credit cards: https://yourbestcreditcards.com/card-finder/?ccid=2004 🏦 Novo (best business bank): https://startupwise.com/novo 🖥️ Best AI website builder ($3/month using code CHARLIECHANG): https://hostinger.com/charliechang ⚙️ Northwest (best $39 LLC formation service): https://startupwise.com/northwestLLC 🥇 Hire top 1% overseas talent: https://paired.so Whether it's optimizing businesses, doing social media management, or investing in pre-IPO tech companies, there are so many interesting opportunities that are out there for you guys to take advantage of. I highly encourage every aspiring entrepreneur out there to find a way to use AI because this can absolutely change the efficiency and output of your business. If you liked the video, and you want to see more videos on AI and making money, check out my videos: How To Use ChatGPT To Learn ANY Skill Quickly (Tutorial): https://www.youtube.com/watch?v=vYvOTGk7hOA 5 Passive Income Ideas - How I ACTUALLY Make $35K/Week in 2023 https://youtu.be/TVLgIKMOYJ0 I hope you guys found this video helpful, and if you did please share it with a friend or family member who you think could benefit and also LIKE and SUBSCRIBE for more videos like this in the future! Thank you for watching and I hope you have a wonderful rest of your day! – Charlie #AI #Money #SideHustle Timeline: 0:00 - Introduction 0:28 - Social Media Management Business 3:11 - AI Optimization Agency 5:41 - Investing in Pre-IPO AI Companies With Fundrise 8:12 - Building an E-commerce Business 10:00 - AI Automated Affiliate Marketing Business 11:12 - Conclusion 11:40 - Outro Disclaimer: Some of the links above may be affiliate links, which means that if you click on them I may receive a small commission. The retailers and financial services companies pay the commission at no cost to you, and this helps to support our channel and keep our videos free. Thank you! In addition, I am not a financial advisor. Charlie Chang does not provide tax, legal or accounting advice. The ideas presented in this video are for entertainment purposes only. Please do your own due diligence before making any financial decisions. ► My Instagram: https://www.instagram.com/charliechang/