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Developers are SLEEPING on TikTok. These two dev kids made $100K in 3 months. Not by studying code, but by studying CONTENT. They mastered the algorithm like it was a batch of Leetcode questions: 1. Studied the patterns 2. Copied working solutions 3. Grinded scripts until it worked Meanwhile,...

127,897 views • 10 months ago •via X (Twitter)

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This guy took a brand‑new app to #1 overall in the App Store and 1,000,000 downloads in under 3 days. For the FIRST TIME, he breaks down exactly how he did it, and we’re posting the full, RAW conversation right here on X To be clear, this is his first and only podcast on this playbook... And a little more context: this wasn’t luck. Jibran has taken 4 different apps to #1 in the App Store, including one that did $1.5M in 3 days and outranked ChatGPT He did it with a handful of creators, zero paid ads, and a product philosophy that blew my mind Here’s the core of what he taught me: > Your product and your marketing are not two separate things; they're the same thing. > What goes viral on TikTok is product validation. > What you learn from a hit video should change your UI, your App Store screenshots, your icon He ran that loop obsessively.. For his 2025 Wrapped app, he spent hundreds of hours in Figma asking one question: > “How does this look on TikTok?” Then he tracked: 1. What users screenshotted 2. What they shared to Snapchat 3. What slide they dropped off on The result was a #1 overall app in the App Store. Above EVERYTHING. Now he’s building because he realized he was spending hours every day doom‑scrolling TikTok looking for hooks and formats that worked So he built an AI to do it for him: > You tell it your app. > It tells you what to post, what’s trending in your niche, and what’s wrong with your existing videos. We go deep on all of it in this conversation. If you run a consumer app, this is the most useful 49 minutes you’ll spend this week

Alex Olim

106,009 views • 3 months ago

Did Epstein influence Bitcoin core development? Short answer: No. This is not how Bitcoin works. Here’s what happened: Epstein donated to MIT Media Lab…who in turn supported MIT Digital Currency Initiative…which in turn funded Bitcoin developers. These devs used to be funded by The Bitcoin Foundation (which I used to run as volunteer Executive Director) there are many devs and no dev or team had power or control over Bitcoin. Under MIT’s patronage the devs had the same deal they had with us at The Bitcoin Foundation: that they could work on the code and not have direction from the org. More importantly — how Bitcoin works is that *even if* a dev was compromised then the nodes and miners would still have to run that code to make it included in Bitcoin. So for example if I had somehow asked the devs paid by Bitcoin Foundation to “add 1000 coins for Bruce” 1) they wouldn’t have done this / it would have been counter to our agreement 2) no miners would run that code & no nodes would recognize it. It would be a laughing stock and completely rejected. Does this mean code dev is not an attack vector? No. It’s still a risk. Particularly with nation state style actors and very careful efforts to co-opt which are much more sophisticated than “give Bruce coins” or something. This is one reason I’m cautious of Bitcoin core funding - especially from actors who’ve had bad judgment in the past. I think we should be cautious of who does the dev and view it as an attack vector. Bitcoin code is transparent and has lots of eyes on it. So in this case especially there isn’t even a solid accusation, let alone evidence that MIT directed nefarious code changes. If that was an allegation the first question should be: well what code specifically did MIT direct and what proof is there and how was it harmful? I think claims around this would collapse. There’s obviously plenty to criticize about Epstein and MIT working with him — and when it comes to digital assets MIT’s work with Gensler and especially its work on CBDCs is much more suspect than the chance that malicious code was pushed through on Bitcoin. Be cautious but this is a nothing burger

Bruce Fenton

231,841 views • 5 months ago

how to make AI tiktok shop videos (like these): p.s. brands are doing $500k+/m with this strategy ### Step by step: 1. export the top 50 scripts for your product niche via fastmoss or kalodata 2. plug it into Claude ai, have it analyze patterns and trends 3. ask it to write you 3 scripts with this prompt "Analyze the following batch of high-performing TikTok ad scripts for my niche and identify patterns in hooks, structure, tone, pacing, and psychological triggers that likely drove virality, extract the top hook formats and content angles, then write 3 original 15–25 second TikTok scripts for [INSERT PRODUCT NAME HERE] targeting [INSERT DETAILED IDEAL CUSTOMER AVATAR HERE] that naturally highlight these benefits [INSERT 5 MAIN BENEFITS HERE] while speaking to their core pain points, make sure the scripts follow the winning patterns you identified, open with adapted high-performing hooks, and are written in a conversational TikTok-native tone, then paste your analysis and scripts below after reviewing these scripts: [INSERT SCRIPTS HERE]" ### plug ai software You can either manually do this process via eleven labs, capcut, and VEO3 with some inserted photos and b-roll. But I prefer my pre-built tiktok ai automation that produces 120+ videos/day. Once you’ve gathered your scripts, insert them into the software and ask it to create a TikTok-native green screen video featuring an African American male with a deep voice and a tall, muscular build. He should be seated while reading the script, with relevant photos and b-roll footage of [INSERT PRODUCT] playing in the background. You can tweak your avatar and insert clips of your product to customize the automation even more. You can also create podcast style vids, product demo vids, and more. Ai is getting better every day, if you're not learning how to utilize it for your content, you are going to be outcompeted. I made a free step by step playbook thta shos you exactly how to get started and produce 120+ vids/day. Comment "GUIDE" + RT, and I'll send you the playbook (must be following)

Calix

15,239 views • 11 months ago

Evan Spiegel on the lesson that killed his first startup and led to Snapchat: "We focused on building the perfect product for way too long before we got feedback. We worked for like eighteen months to build this perfect full-featured product, which was in direct contravention to how I was always taught to build things. Build a prototype, build an MVP, get it in front of people, learn as quickly as possible. But we had spent all this time building this perfect piece of software and we hadn't thought enough about distribution. While we built this great piece of software, our competitor at the time, Naviance, had secured distribution through all the different college counselors. What piece of software are you going to choose to help your kid get into college? The one recommended by the college counselors or the one from two kids at Stanford? I think it's a pretty easy choice. So we saw very early that we had no distribution advantage. Even if we loved our software, people weren't going to use it because we didn't have a scalable way to get it in people's hands. Around that time when we saw the emergence of the App Store on iPhone, it was very clear that was a distribution channel we could really use and benefit from. But we also needed to build things we could build quickly, things we really were going to use together with our friends so we could be the first early customers. Ultimately Peekaboo and Snapchat represented that." This is exactly the asymmetry Peter Thiel describes in Zero to One: superior distribution by itself can create a monopoly, even with no product differentiation. The converse is not true. Thiel puts an even finer point on it: most businesses get zero distribution channels to work. Poor sales rather than bad product is the most common cause of failure. If you can get just one distribution channel to work, you have a great business. Estée Lauder said: it's not enough to have the most wonderful product in the world. You must be able to sell it. Many founders over-index on product perfection and under-invest in distribution. The world is full of great products nobody knows about, and mediocre products with massive distribution that dominate markets. Evan Spiegel lived it. He built the better product, watched it lose, and then built something he could actually distribute.

David Senra

27,043 views • 3 months ago