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Watched 8 hours of MrBeast's content. Here are 7 psychological strategies he's used to get 34 billion views
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Positive-Bison5023This week

Watched 8 hours of MrBeast's content. Here are 7 psychological strategies he's used to get 34 billion views

MrBeast can fill giant stadiums and launch 8-figure candy companies on demand. He’s unbelievably popular. Recently, I listened to the brilliant marketer Phill Agnew (from The Nudge podcast) being interviewed on the Creator Science podcast. The episode focused on how MrBeast’s near-academic understanding of audience psychology is the key to his success. Better than anyone, MrBeast knows how to get you: \- Click on his content (increase his click-through rate) \- Get you to stick around (increase his retention rate) He gets you to click by using irresistible thumbnails and headlines. I watched 8 hours of his content. To build upon Phil Agnew’s work, I made a list of 7 psychological effects and biases he’s consistently used to write headlines that get clicked into oblivion. Even the most aggressively “anti-clickbait” purists out there would benefit from learning the psychology of why people choose to click on some content over others. Ultimately, if you don’t get the click, it really doesn’t matter how good your content is. Novelty Effect MrBeast Headline: “I Put 100 Million Orbeez In My Friend's Backyard” MrBeast often presents something so out of the ordinary that they have no choice but to click and find out more. That’s the “novelty effect” at play. Our brain’s reward system is engaged when we encounter something new. You’ll notice that the headline examples you see in this list are extreme. MrBeast takes things to the extreme. You don’t have to. Here’s your takeaway: Consider breaking the reader/viewer’s scrolling pattern by adding some novelty to your headlines. How? Here are two ways: Find the unique angle in your content Find an unusual character in your content Examples: “How Moonlight Walks Skyrocketed My Productivity”. “Meet the Artist Who Paints With Wine and Chocolate.” Headlines like these catch the eye without requiring 100 million Orbeez. Costly Signaling MrBeast Headline: "Last To Leave $800,000 Island Keeps It" Here’s the 3-step click-through process at play here: MrBeast lets you know he’s invested a very significant amount of time and money into his content. This signals to whoever reads the headline that it's probably valuable and worth their time. They click to find out more. Costly signaling is all amount showcasing what you’ve invested into the content. The higher the stakes, the more valuable the content will seem. In this example, the $800,000 island he’s giving away just screams “This is worth your time!” Again, they don’t need to be this extreme. Here are two examples with a little more subtlety: “I built a full-scale botanical garden in my backyard”. “I used only vintage cookware from the 1800s for a week”. Not too extreme, but not too subtle either. Numerical Precision MrBeast knows that using precise numbers in headlines just work. Almost all of his most popular videos use headlines that contain a specific number. “Going Through The Same Drive Thru 1,000 Times" “$456,000 Squid Game In Real Life!” Yes, these headlines also use costly signaling. But there’s more to it than that. Precise numbers are tangible. They catch our eye, pique our curiosity, and add a sense of authenticity. “The concreteness effect”: Specific, concrete information is more likely to be remembered than abstract, intangible information. “I went through the same drive thru 1000 times” is more impactful than “I went through the same drive thru countless times”. Contrast MrBeast Headline: "$1 vs $1,000,000 Hotel Room!" Our brains are drawn to stark contrasts and MrBeast knows it. His headlines often pit two extremes against each other. It instantly creates a mental image of both scenarios. You’re not just curious about what a $1,000,000 hotel room looks like. You’re also wondering how it could possibly compare to a $1 room. Was the difference wildly significant? Was it actually not as significant as you’d think? It increases the audience’s \curiosity gap\ enough to get them to click and find out more. Here are a few ways you could use contrast in your headlines effectively: Transformational Content: "From $200 to a $100M Empire - How A Small Town Accountant Took On Silicon Valley" Here you’re contrasting different states or conditions of a single subject. Transformation stories and before-and-after scenarios. You’ve got the added benefit of people being drawn to aspirational/inspirational stories. Direct Comparison “Local Diner Vs Gourmet Bistro - Where Does The Best Comfort Food Lie?” Nostalgia MrBeast Headline: "I Built Willy Wonka's Chocolate Factory!" Nostalgia is a longing for the past. It’s often triggered by sensory stimuli - smells, songs, images, etc. It can feel comforting and positive, but sometimes bittersweet. Nostalgia can provide emotional comfort, identity reinforcement, and even social connection. People are drawn to it and MrBeast has it down to a tee. He created a fantasy world most people on this planet came across at some point in their childhood. While the headline does play on costly signaling here as well, nostalgia does help to clinch the click and get the view. Subtle examples of nostalgia at play: “How this \[old school cartoon\] is shaping new age animation”. “\[Your favorite childhood books\] are getting major movie deals”. Morbid Curiosity MrBeast Headline: "Surviving 24 Hours Straight In The Bermuda Triangle" People are drawn to the macabre and the dangerous. Morbid curiosity explains why you’re drawn to situations that are disturbing, frightening, or gruesome. It’s that tension between wanting to avoid harm and the irresistible desire to know about it. It’s a peculiar aspect of human psychology and viral content marketers take full advantage of it. The Bermuda Triangle is practically synonymous with danger. The headline suggests a pretty extreme encounter with it, so we click to find out more. FOMO And Urgency MrBeast Headline: "Last To Leave $800,000 Island Keeps It" “FOMO”: the worry that others may be having fulfilling experiences that you’re absent from. Marketers leverage FOMO to drive immediate action - clicking, subscribing, purchasing, etc. The action is driven by the notion that delay could result in missing out on an exciting opportunity or event. You could argue that MrBeast uses FOMO and urgency in all of his headlines. They work under the notion that a delay in clicking could result in missing out on an exciting opportunity or event. MrBeast’s time-sensitive challenge, exclusive opportunities, and high-stakes competitions all generate a sense of urgency. People feel compelled to watch immediately for fear of missing out on the outcome or being left behind in conversations about the content. Creators, writers, and marketers can tap into FOMO with their headlines without being so extreme. “The Hidden Parisian Cafe To Visit Before The Crowds Do” “How \[Tech Innovation\] Will Soon Change \[Industry\] For Good” (Yep, FOMO and urgency are primarily responsible for the proliferation of AI-related headlines these days). Why This All Matters If you don’t have content you need people to consume, it probably doesn’t! But if any aspect of your online business would benefit from people clicking on things more, it probably does. “Yes, because we all need more clickbait in this world - \eye-roll emoji\” - Disgruntled Redditor I never really understood this comment but I seem to get it pretty often. My stance is this: If the content delivers what the headline promises, it shouldn’t be labeled clickbait. I wouldn’t call MrBeast’s content clickbait. The fact is that linguistic techniques can be used to drive people to consume some content over others. You don’t need to take things to the extremes that MrBeast does to make use of his headline techniques. If content doesn’t get clicked, it won’t be read, viewed, or listened to - no matter how brilliant the content might be. While “clickbait” content isn’t a good thing, we can all learn a thing or two from how they generate attention in an increasingly noisy digital world.

I Watched My Startup Slowly Dying Over Two Years: Mistakes and Lessons Learned
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Personal-Expression3This week

I Watched My Startup Slowly Dying Over Two Years: Mistakes and Lessons Learned

If you are tired of reading successful stories, you may want to listen to my almost failure story. Last year in April, I went full-time on my startup. Nearly two years later, I’ve seen my product gradually dying. I want to share some of the key mistakes I made and the lessons I’ve taken from them so you don't have to go through them. Some mistakes were very obvious in hindsight; others, I’m still not sure if they were mistakes or just bad luck. I’d love to hear your thoughts and advice as well. Background I built an English-learning app, with both web and mobile versions. The idea came from recognizing how expensive it is to hire an English tutor in most countries, especially for practicing speaking skills. With the rise of AI, I saw an opportunity in the education space. My target market was Japan, though I later added support for multiple languages and picked up some users from Indonesia and some Latin American countries too. Most of my users came from influencer marketing on Twitter. The MVP for the web version launched in Japan and got great feedback. People were reposting it on Twitter, and growth was at its peak in the first few weeks. After verifying the requirement with the MVP, I decided to focus on the mobile app to boost user retention, but for various reasons, the mobile version didn’t launch until December 2023— 8 months after the web version. Most of this year has been spent iterating on the mobile app, but it didn’t make much of an impact in the end. Key Events and Lessons Learned Here are some takeaways: Find co-founders as committed as you are I started with two co-founders—both were tech people and working Part-Time. After the web version launched, one dropped out due to family issues. Unfortunately, we didn’t set clear rules for equity allocation, so even after leaving, they still retained part of the equity. The other co-founder also effectively dropped out this year, contributing only minor fixes here and there. So If you’re starting a company with co-founders, make sure they’re as committed as you are. Otherwise, you might be better off going solo. I ended up teaching myself programming with AI tools, starting with Flutter and eventually handling both front-end and back-end work using Windsurf. With dev tools getting more advanced, being a solo developer is becoming a more viable option. Also, have crystal-clear rules for equity—especially around what happens if someone leaves. Outsourcing Pitfalls Outsourcing development was one of my biggest mistakes. I initially hired a former colleague from India to build the app. He dragged the project on for two months with endless excuses, and the final output was unusable. Then I hired a company, but they didn’t have enough skilled Flutter developers. The company’s owner scrambled to find people, which led to rushed work and poor-quality code which took a lot of time revising myself. Outsourcing is a minefield. If you must do it, break the project into small tasks, set clear milestones, and review progress frequently. Catching issues early can save you time and money. Otherwise, you’re often better off learning the tools yourself—modern dev tools are surprisingly beginner-friendly. Trust, but Verify I have a bad habit of trusting people too easily. I don’t like spending time double-checking things, so I tend to assume people will do what they say they’ll do. This mindset is dangerous in a startup. For example, if I had set up milestones and regularly verified the progress of my first outsourced project, I would’ve realized something was wrong within two weeks instead of two months. That would’ve saved me a lot of time and frustration. Like what I mentioned above, set up systems to verify their work—milestones, deliverables, etc.—to minimize risk. Avoid red ocean if you are small My team was tiny (or non-existent, depending on how you see it), with no technical edge. Yet, I chose to enter Japan’s English-learning market, which is incredibly competitive. It’s a red ocean, dominated by big players who’ve been in the game for years. Initially, my product’s AI-powered speaking practice and automatic grammar correction stood out, but within months, competitors rolled out similar features. Looking back, I should’ve gone all-in on marketing during the initial hype and focused on rapidly launching the mobile app. But hindsight is 20/20. 'Understanding your user' helps but what if it's not what you want? I thought I was pretty good at collecting user feedback. I added feedback buttons everywhere in the app and made changes based on what users said. But most of these changes were incremental improvements—not the kind of big updates that spark excitement. Also, my primary users were from Japan and Indonesia, but I’m neither Japanese nor Indonesian. That made it hard to connect with users on social media in an authentic way. And in my opinion, AI translations can only go so far—they lack the human touch and cultural nuance that builds trust. But honestly I'm not sure if the thought is correct to assume that they will not get touched if they recognize you are a foreigner...... Many of my Japanese users were working professionals preparing for the TOEIC exam. I didn’t design any features specifically for that; instead, I aimed to build a general-purpose English-learning tool since I dream to expand it to other markets someday. While there’s nothing wrong with this idealistic approach, it didn’t give users enough reasons to pay for the app. Should You Go Full-Time? From what I read, a lot of successful indie developers started part-time, building traction before quitting their jobs. But for me, I jumped straight into full-time mode, which worked for my lifestyle but might’ve hurt my productivity. I value work-life balance and refused to sacrifice everything for the startup. The reason I chose to leave the corp is I want to escape the 996 toxic working environment in China's internet companies. So even during my most stressful periods, I made time to watch TV with my partner and take weekends off. Anyways, if you’re also building something or thinking about starting a business, I hope my story helps. If I have other thoughts later, I will add them too. Appreciate any advice.

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

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

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

List of free educational ML resources I used to become a FAANG ML Engineer
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aifordevsThis week

List of free educational ML resources I used to become a FAANG ML Engineer

Full commentary and notes here ➡️: https://www.trybackprop.com/blog/top\ml\learning\resources Used these to brush up on math and teach myself AI/ML over the course of two years. I'm now a staff ML engineer at FAANG. Hope these help. Fundamentals Linear Algebra – 3Blue1Brown's Essence of Linear Algebra series, binged all these videos on a one hour train ride visiting my parents Multivariable Calculus – Khan Academy's Multivariable Calculus lessons were a great refresher of what I had learned in college. Looking back, I just needed to have reviewed Unit 1 – intro and Unit 2 – derivatives. Calculus for ML – this amazing animated video explains calculus and backpropagation Information Theory – easy-to-understand book on information theory called Information Theory: A Tutorial Introduction. Statistics and Probability – the StatQuest YouTube channel Machine Learning Stanford Intro to Machine Learning by Andrew Ng – Stanford's CS229, the intro to machine learning course, published their lectures on YouTube for free. I watched lectures 1, 2, 3, 4, 8, 9, 11, 12, and 13, and I skipped the rest since I was eager to move onto deep learning. The course also offers a free set of course notes, which are very well written. Caltech Machine Learning – Caltech's machine learning lectures on YouTube, less mathematical and more intuition based Deep Learning Andrej Karpathy's Zero to Hero Series – Andrej Karpathy, an AI researcher who graduated with a Stanford PhD and led Tesla AI for several years, released an amazing series of hands on lectures on YouTube. highly highly recommend Neural networks – Stanford's CS231n course notes and lecture videos were my gateway drug*, so to speak, into the world of deep learning. Transformers and LLMs Transformers – watched these two lectures: lecture from the University of Waterloo and lecture from the University of Michigan. I have also heard good things about Jay Alammar's The Illustrated Transformer guide ChatGPT Explainer – Wolfram's YouTube explainer video on ChatGPT Interactive LLM Visualization – This LLM visualization that you can play with in your browser is hands down the best interactive experience with an LLM. Financial Times' Transformer Explainer – The Financial Times released a lovely interactive article that explains the transformer very well. Residual Learning – 2023 Future Science Prize Laureates Lecture on residual learning. Efficient ML and GPUs How are Microchips Made? – This YouTube video by Branch Education is one of the best free educational videos on the internet, regardless of subject, but also, it's the best video on understanding microchips. CUDA – My L8 and L9 FAANG coworkers acquired their CUDA knowledge from this series of lectures. TinyML and Efficient Deep Learning Computing – 2023 lectures on efficient ML techniques online. Chip War – Chip War is a bestselling book published in 2022 about microchip technology whose beginning chapters on the invention of the microchip actually explain CPUs very well

How I landed an internship in AI
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Any-Reserve-4403This week

How I landed an internship in AI

For motivational purposes only! I see a lot of posts on here from people without “traditional” machine learning, data science, etc.. backgrounds asking how they can break into the field, so I wanted to share my experience. EDIT Learning Resources and Side Project Ideas * My background: I graduated from a decent undergraduate school with a degree in Political Science several years ago. Following school I worked in both a client services role at a market research company and an account management role at a pretty notable fintech start-up. Both of these roles exposed me to ML, AI and more sophisticated software concepts in general, and I didn’t really care for the sales side of things, so I decided to make an attempt at switching careers into something more technical. While working full time I began taking night classes at a local community college, starting with pre calculus all the way up to Calc 2 and eventually more advanced classes like linear algebra and applied probability. I also took some programming courses including DSA. I took these classes for about two years while working, and on the side had been working through various ML books and videos on YouTube. What worked the best for me was Hands-on Machine Learning with Scikit Learn, Keara’s and Tensorflow. I eventually had enough credits where I was able to begin applying to MS in Data Science programs and was fortunate enough to get accepted into one and also get a position in their Robotics Lab doing Computer Vision work. When it came time to apply for internships, it was a BLOODBATH. I must have applied to over 100 roles with my only responses being video interviews and OA’s. Finally I got an interview for an AI Model Validation internship with a large insurance company and after completing the interviews was told I performed well but they were still interviewing several candidates. I ended up getting the offer and accepting the role where I’ll be working on a Computer Vision model and some LLM related tasks this summer and could not be more fortunate / excited. A couple things stood out to them during the interview process. 1, the fact that I was working and taking night classes with the intent to break into the field. It showed a genuine passion as opposed to someone who watched a YouTube video and claims they are now an expert. 2, side projects. I not only had several projects, but I had some that were relevant to the work I’d be doing this summer from the computer vision standpoint. 3, business sense. I emphasized during my interviews how working in a business role prior to beginning my masters would give me a leg up as intern because I would be able to apply the work of a data scientist to solving actual business challenges. For those of you trying to break into the field, keep pushing, keep building, and focus on what makes you unique and able to help a company! Please feel free to contact me if you would like any tips I can share, examples of projects, or anything that would be helpful to your journey.

My boss taught me how to build a Failed business (15 lessons)
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aminekhThis week

My boss taught me how to build a Failed business (15 lessons)

I'm a senior software developer at a three-year-old startup that has been making $0 in revenue. I've been with this startup since its beginning, and it pays me $1200/month. My boss has broken the records of the number of stupid ideas and stupid features that he asked me to implement. He taught me (unintentionally) all the lessons I should NOT do to build a successful business. From bad product ideas, bad business decisions, not listening to your team, not building what target customers want, and falling in love with your bad product. The product we're working on is a desktop program that moves the cursor with your finger using the webcam (gesture recognition). Why in the world would anyone pay money to move the mouse cursor with his finger? No one knows. My boss watched Iron Man (the film) and saw how Tony Starks do gestures in front of his "advanced" computer and thought it was cool so he asked me to build this for him to sell it to enterprises (then pivoted the target customer to schools). Of course, no one bought this software. All the people he meets tell him it is cool but he never hears from them again. No one on the team, except my boss, thinks this software will succeed. He keeps adding irrelevant features to this software just because he "thinks" people will love it. We added 3D object visualizer, ChatGPT integration, and Quizzes. I suggested moving everything to the cloud and focusing only on improving the education industry by providing solutions that help teachers better prepare their lessons and understand where each student lacks by recording lessons, summarizing them for students, generating quizzes using AI, and analyzing the part that each student didn't understand. However, to do that, we need to forget the part of moving the cursor with fingers because it can be done only on Python, not NextJS. He simply replied, "NO, moving the cursor with fingers is COOL". So here are the lessons I learned from my boss to build a failed business: Never listen to your team. Always build what you think is good and never let anyone from your team say it's a bad idea. Fall in love with your business idea. Don't talk to customers. If no one bought your product, it's because they don't understand how cool it is. If a member of your team say it's a bad idea, ignore them, they don't understand how cool your idea is. Always hire interns because they're free labor and give them the most sensitive parts of the work like payments and databases. Make your business dependant on you. Don't let your team do their job the right way, give them orders to do it YOUR way. Hire experts to tell them what to do not to tell you what to do and how to do it. Never do marketing because people will steal your idea. Ask your team "What you think?" but ignore them. If your wife and children think your product is cool then it's cool. Start a business in an industry that you know nothing about but act like you know everything. If no one is buying your product, keep adding irrelevant features that no one asked for. \--- Edit: I didn't mention all the "stupid" ideas I built for him so here you go: Replacing Zoom, Teams, and Meet meetings with meetings in the metaverse. Target customer: Enterprises. An app that lets you scroll through social media without touching your mobile screen (using gesture recognition). We didn't build this because it's technically impossible to continuously use the phone camera outside your own app. He didn't believe me so asked his friend and told him the same thing. A software that controls the computer with gestures (moving cursor, single click, double click, ALT Tab...). Target customers: Enterprises Building a classroom in Decentraland (metaverse) to replace classes through Zoom and Teams He told me to build the startup website but to not make the home page the first page a user lands on when he opens the website. He wants to make the visitor lands on another "almost" empty page and if the user wants to go to the home page he should click on "Home" in the navbar.