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NVIDIA spent years telling people their tiny AI computers would let anyone build anything. A Chinese high school student just proved it. No investors. No game studio. No engineering team. Just a $249 NVIDIA dev kit sitting on his desk after class. He taught himself everything gameplay systems, graphics,... show more

Shelpid.WI3M

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10,509 Aufrufe • vor 3 Monaten •via X (Twitter)

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Someone built a full 3D video game with ChatGPT 5.5 and a single prompt, no unity, no game dev degree, no team. Not a prototype or demo, this is a full 3D browser game: low‑poly mountains, interactive bubble mechanics, smooth camera, and a complete UI, running on a laptop. For context, Rockstar has 2,000 engineers and takes 10 years between GTA releases. Indie devs spend 3 years learning Unity before they ship their first game, game dev bootcamps charge $15,000 to teach you enough to get started. This guy typed a prompt -> 10 minutes later the game was running. No engine, no language, no course, no team, no budget, no timeline, no publisher taking 30% of something that took 3 years to build. Just an idea, a prompt and ChatGPT 5.5 handling everything else. The gap between having a game idea and shipping one just went from 3 years to 10 minutes.

Someone built a full 3D video game with ChatGPT 5.5 and a single prompt, no unity, no game dev degree, no team. Not a prototype or demo, this is a full 3D browser game: low‑poly mountains, interactive bubble mechanics, smooth camera, and a complete UI, running on a laptop. For context, Rockstar has 2,000 engineers and takes 10 years between GTA releases. Indie devs spend 3 years learning Unity before they ship their first game, game dev bootcamps charge $15,000 to teach you enough to get started. This guy typed a prompt -> 10 minutes later the game was running. No engine, no language, no course, no team, no budget, no timeline, no publisher taking 30% of something that took 3 years to build. Just an idea, a prompt and ChatGPT 5.5 handling everything else. The gap between having a game idea and shipping one just went from 3 years to 10 minutes.

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CHINESE DEVELOPER BUILT A PLAYABLE GAME ON A RETRO APPLE II SETUP IN 48 HOURS WITH KIMI K2.6 FOR UNDER $200 he opened Kimi, described the game in plain English and asked it to build the full loop: map, movement, enemies, score, UI and deployable code by the second night it wasn’t just a green screen clip. the game had working mechanics, fixed bugs and enough structure to feel like a real prototype the Apple II setup is just the bait. Kimi is the part doing the heavy lifting with 256K context and 300 agents running through the boring dev work a small studio would charge $3,000-8,000 just to get this first version working. he turned it into a weekend build for under $200 most people use AI to write tweets. this developer used it to ship something you can actually play

CHINESE DEVELOPER BUILT A PLAYABLE GAME ON A RETRO APPLE II SETUP IN 48 HOURS WITH KIMI K2.6 FOR UNDER $200 he opened Kimi, described the game in plain English and asked it to build the full loop: map, movement, enemies, score, UI and deployable code by the second night it wasn’t just a green screen clip. the game had working mechanics, fixed bugs and enough structure to feel like a real prototype the Apple II setup is just the bait. Kimi is the part doing the heavy lifting with 256K context and 300 agents running through the boring dev work a small studio would charge $3,000-8,000 just to get this first version working. he turned it into a weekend build for under $200 most people use AI to write tweets. this developer used it to ship something you can actually play

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Meta spent $40 billion and 10 years trying to make hand tracking feel natural. This guy did it with Claude in a weekend. No code written. No team. No hardware. He described what he wanted, Claude built it. The app tracks every finger, every joint, every movement live on his laptop. Physics bend around his hands in real time. The $40B industry just got embarrassed by one person with a Claude subscription. Everything you need to start building like this is in the article above.

Meta spent $40 billion and 10 years trying to make hand tracking feel natural. This guy did it with Claude in a weekend. No code written. No team. No hardware. He described what he wanted, Claude built it. The app tracks every finger, every joint, every movement live on his laptop. Physics bend around his hands in real time. The $40B industry just got embarrassed by one person with a Claude subscription. Everything you need to start building like this is in the article above.

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This video is the best 60 seconds you'll spend today. He was 22, working a job he didn't hate but didn't love, and spending every evening building an iOS app alone no team, no funding, just a laptop and bad coffee. He launched it on a Tuesday, told nobody, and 6 weeks later handed in his notice. The app wasn't genius, the idea wasn't new, he just actually did the thing everyone else kept planning to do. Your idea is sitting in your notes right now. Ship it.

timbidefi

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There's a formula that turns the worst hand in poker into a winning one. Doyle Brunson ran it in his head and won two world championships with a ten-deuce. Computers didn't confirm he was right until 40 years later. He did it in 1976 and 1977, back to back. Same two cards - the worst hand in poker, the one every amateur throws away. Same full house both times. They called it the luckiest run alive. It wasn't. Brunson had boiled the game down to one number: how often the other guy folds. Push it high enough and the cards in your hand stop mattering. He was running expected value in his head before anyone had a name for it. Then he wrote it down. His 1970s book turned poker from a gambler's game into a math problem, and every solver built since has proved him right. He breaks down the hands himself below.

There's a formula that turns the worst hand in poker into a winning one. Doyle Brunson ran it in his head and won two world championships with a ten-deuce. Computers didn't confirm he was right until 40 years later. He did it in 1976 and 1977, back to back. Same two cards - the worst hand in poker, the one every amateur throws away. Same full house both times. They called it the luckiest run alive. It wasn't. Brunson had boiled the game down to one number: how often the other guy folds. Push it high enough and the cards in your hand stop mattering. He was running expected value in his head before anyone had a name for it. Then he wrote it down. His 1970s book turned poker from a gambler's game into a math problem, and every solver built since has proved him right. He breaks down the hands himself below.

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While you're looking at that canvas, it's saving him $15,000 a month. At 0:22 he shows how he turned $1.50 into 1,000 leads with verified emails. He built this sitting on a terrace. One afternoon. No team. No investor money. No office. Just a laptop, Claude, and n8n stitching everything together on one blue canvas. Each node is a job that used to cost a salary. One scrapes leads. One researches the company. One finds the right person. Two write the email and the DM, personalized based on everything the others found. A startup had 10 people doing this exact work. $15,000/month just in ops salaries. He does it for $200/month. $15,000 saved every month. $180,000 a year. 7 workflows. Zero employees in the loop. You spent 60 seconds watching it. It spent 60 seconds closing deals.

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One guy built this app in a month and now it makes him more than $1,000,000 a year. No team. No investors. No marketing department. One developer. One month. One clever idea. The app is a camera for events. In its first month it got 100,000 downloads and he did not spend a single dollar on ads. Here is how he did it because the most interesting part is the growth itself. He did not bolt marketing onto the product. He made using the product the marketing itself. After that things kick in that almost nobody figures out. 1. You cannot use the app alone. For it to work the host has to pull every guest into it. Each install drags in dozens more right away. 2. One wedding is not one user but a whole crowd at once. 200 people scan one code in an evening and install the app. No ad brings that many for the same money and here the money is zero. 3. The guest becomes the host. He liked it at someone else's wedding and a month later he throws his own event and brings his own people. The loop spins itself and for free. 4. It does not look like an ad. To the guest it is a gift not some app forced on him. So they install it gladly and all of them do. 5. It all runs on emotion. A wedding. Memories. Shared shots. People film it and show their own people and a new wave comes in. Now let us count the money plain and honest. The subscription runs from 2 to 50 dollars. Say only every 20th person pays. That is 5,000 people out of 100,000. The average check a modest 20 dollars. 5,000 times 20 is 100,000 dollars a month. More than 3,000 a day. More than $1,000,000 a year. And all of this is one guy in a month without a single dollar on ads. He did not win on budget and not on a team. He won by sewing distribution into the very use of the product. You can lift almost any product this way. Could you build something like this on your own or is it just luck?

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Do you actually understand what happened to Twitter's servers. He found one listed online for almost nothing. Bought it before anyone else figured out what it was. Spent a weekend putting it together in an old case he had sitting in the garage. He bought one. Paired it with 512 gigabytes of RAM across eight channels. Dropped in a 3090 for image and video generation on the side. The setup runs DeepSeek 671B, the entire model, no quantization tricks, loaded fully into memory. The people selling $412/month AI subscriptions are running hardware like this in data centers and charging you monthly to access a fraction of it. He just owns his fraction now.

Superior

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West Lord

285,497 Aufrufe • vor 27 Tagen

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Pieter Levels makes over $250,000 a month -> alone, from a laptop, with zero employees no co-founder. no investors. no team. just him and a backpack, moving between countries he started by daring himself to launch 12 startups in 12 months. then he kept going -> 70+ products over the years, and most of them flopped he doesn't plan. no roadmaps, no polishing for months. he ships before it's "ready" and kills anything that gets no traction within weeks one throwaway experiment -> an AI photo app he built the day after a tweet went viral -> hit $77,000/month within a year. today it does over $130,000/month on its own he still writes everything in old-school PHP. every error gets piped straight to his Telegram. ~95% of the revenue is pure profit even Andrej Karpathy said this is the model for the future: one person running multiple companies the clip below is him explaining exactly how ↓

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This is Jump Ship. A 4 player co-op PvE indie game by a new indie studio created by Former Minecraft developers: - FPS PvE with Space Ship Combat - Seamlessly go on and off ship, into space exploration into enemy ships, the gameplay looks insanely impressive. - A variety hand crafted missions with random elements. "No two runs will be exactly the same" - Upgrade & Repir your ship - Scavenge for parts to upgrade or repair it, and adapt it to fit your needs. - Playable in both Solo and Coop - Coming to Xbox and PC (Unfortunately no PS5 release) - Demo available on Steam right now! This game looks genuinely incredible and I will definitely be trying out the demo as soon as I am free, there's a bunch of Hazelight (A Way Out, It Takes Two) developers on this as well, I really think this has the potential to be one of the biggest co-op games we've seen in a long time.

This is Jump Ship. A 4 player co-op PvE indie game by a new indie studio created by Former Minecraft developers: - FPS PvE with Space Ship Combat - Seamlessly go on and off ship, into space exploration into enemy ships, the gameplay looks insanely impressive. - A variety hand crafted missions with random elements. "No two runs will be exactly the same" - Upgrade & Repir your ship - Scavenge for parts to upgrade or repair it, and adapt it to fit your needs. - Playable in both Solo and Coop - Coming to Xbox and PC (Unfortunately no PS5 release) - Demo available on Steam right now! This game looks genuinely incredible and I will definitely be trying out the demo as soon as I am free, there's a bunch of Hazelight (A Way Out, It Takes Two) developers on this as well, I really think this has the potential to be one of the biggest co-op games we've seen in a long time.

Synth Potato🥔

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SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

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🚨 PEOPLE ARE FREAKING OUT AFTER LEARNING HOW TO “BREAK THE MATRIX” WITH A PENNY A simple TikTok claim is melting brains right now: stick a penny to the wall, fully believe it will stay… and it does. One skeptical Gen Xer tried it expecting pure nonsense. The penny stuck. Then the dime. Then quarters, nickels, a guitar pick, a spoon, even a poker chip. No rubbing, no moisture, no tricks... just place it and believe. That original penny stays hanging on the wall for over an hour. Gravity, the one thing most people thought they could still count on, suddenly feels optional. People are half-joking that if Morpheus shows up at the door they’re taking the red pill immediately. Is this just static and coincidence… or did the internet just teach millions of people how to glitch the simulation?

HustleBitch

711,798 Aufrufe • vor 20 Tagen

Jensen Huang founded Nvidia on the wrong graphics technology, and when no one knew the right way, he bought three textbooks from Fry's for a couple hundred dollars to rebuild the algorithm. Nvidia is worth more than $4 trillion today. This is him at Y Combinator on the day he realized Nvidia was building the wrong thing: Nvidia had chosen the wrong graphics approach, finished dead last, and run out of money. Then came the worse discovery. "Not only did we choose the wrong technology, we didn't know how to do it the right way." He said it to the whole company out loud, because the alternative was pretending it wasn't true. "We won't have a company if we don't confront the fact that this doesn't work and start working towards the right algorithm." There was no research budget and no expert to call, so he went and found the answer himself. "I had a couple hundred dollars in my pocket. And so I went down to Fry's and I bought three textbooks. And the textbooks were about OpenGL and how to design OpenGL pipelines. I brought it back to the company and gave it to the engineers." The engineers rebuilt the whole thing from those pages, and it became the foundation for everything Nvidia made after. "Everybody would have thought that Nvidia started out as world leaders in 3D graphics. And we learned it from a textbook." Decades later, he still tells it as a punchline against himself. "We actually started the company, raised money, and bought textbooks, when you think about it." Bookmark & watch ↓

Jensen Huang founded Nvidia on the wrong graphics technology, and when no one knew the right way, he bought three textbooks from Fry's for a couple hundred dollars to rebuild the algorithm. Nvidia is worth more than $4 trillion today. This is him at Y Combinator on the day he realized Nvidia was building the wrong thing: Nvidia had chosen the wrong graphics approach, finished dead last, and run out of money. Then came the worse discovery. "Not only did we choose the wrong technology, we didn't know how to do it the right way." He said it to the whole company out loud, because the alternative was pretending it wasn't true. "We won't have a company if we don't confront the fact that this doesn't work and start working towards the right algorithm." There was no research budget and no expert to call, so he went and found the answer himself. "I had a couple hundred dollars in my pocket. And so I went down to Fry's and I bought three textbooks. And the textbooks were about OpenGL and how to design OpenGL pipelines. I brought it back to the company and gave it to the engineers." The engineers rebuilt the whole thing from those pages, and it became the foundation for everything Nvidia made after. "Everybody would have thought that Nvidia started out as world leaders in 3D graphics. And we learned it from a textbook." Decades later, he still tells it as a punchline against himself. "We actually started the company, raised money, and bought textbooks, when you think about it." Bookmark & watch ↓

Fireside Tapes

1,913,855 Aufrufe • vor 1 Monat

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

CEO of a trillion-dollar company sat in a Stanford classroom in 2011 and explained exactly how he built it. No PR team, no prepared remarks, no investors in the room. No business school has ever added the recording to a syllabus. His name is Jensen Huang. He co-founded NVIDIA in 1993 with $40,000. By 2011 the company was worth $9 billion. Today it is worth over $3 trillion. He walked into the Stanford ASES Summit and gave away the entire playbook to a room of fifty students for free. The lecture is about when to bet everything on one technology before the market knows it exists. He did it with GPUs. Then with CUDA. Then with AI infrastructure. Three bets, same logic, same company, three different industries. The uncomfortable part is what he says about risk. He almost went bankrupt twice. What he did both times is the opposite of what every MBA program teaches. Business schools charge $200K in tuition to teach frameworks he rejected before his company was worth a billion. Every founder podcast repeats the same five lessons. Almost none of them mention what Huang actually did when the company was ninety days from dying. That part is in the lecture. It has been free for fifteen years. Filmed by a student with a handheld camera. Audio cuts in and out. He gave away the playbook of the most valuable company on Earth to fifty people. Almost nobody watched it. One classroom. One camera. The full lecture is free. It is in the video.

Tigerflow

74,298 Aufrufe • vor 28 Tagen

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.

A few years ago, running AI infrastructure required a warehouse. Today, one guy does it from his backyard. He installed an Nvidia AI supercomputer next to his home and connected it to power and fiber internet. From the outside, it looks like ordinary utility equipment. Inside, GPUs process AI workloads around the clock. Instead of building AI products himself, he leases computing capacity to companies that need extra horsepower. Every month, they pay for access. According to him, the system generates roughly $10,000 in recurring monthly revenue. No employees. No inventory. No customers knocking on the door. Just computing power. What used to be available only to major tech companies is slowly becoming accessible to individuals. And some homeowners are already turning that shift into a business. Save this post. The infrastructure behind AI is changing faster than most people realize.

Shelpid.WI3M

154,518 Aufrufe • vor 3 Monaten

What's the next big trade in AI infrastructure after memory? We asked Meltem Demirors and Kelly Greer: "Memory is ripping now. We think the next narrative is gonna be around networking." "Jensen is doing the exact same thing now that he did with Mellanox in 2019 that turned NVIDIA from a GPU company into a systems and networking company. He's doing it again with Marvell." "Hyperscalers are literally telling you the two biggest bottlenecks for AI spend right now are networking and memory." "The tea leaves are written literally everywhere... the market's just been on the memory track. We're trying to get ahead of that."

What's the next big trade in AI infrastructure after memory? We asked Meltem Demirors and Kelly Greer: "Memory is ripping now. We think the next narrative is gonna be around networking." "Jensen is doing the exact same thing now that he did with Mellanox in 2019 that turned NVIDIA from a GPU company into a systems and networking company. He's doing it again with Marvell." "Hyperscalers are literally telling you the two biggest bottlenecks for AI spend right now are networking and memory." "The tea leaves are written literally everywhere... the market's just been on the memory track. We're trying to get ahead of that."

MTS

35,125 Aufrufe • vor 3 Monaten

The Shawshank Redemption flopped in theaters, $16 million worldwide on a $25 million budget, opening weekend just $727,000 in 1994, it disappeared almost immediately. It lost all seven Oscar nominations to Forrest Gump, no awards, no box office, the studio labeled it a failure and the director walked away devastated. Then something quiet started happening, VHS rentals, cable reruns, someone watching it alone on a Tuesday night and calling a friend the next morning. People who watched it told their friends, their friends told more people, it spread slowly, one recommendation at a time, no marketing push just genuine word of mouth. By 2008 it reached number one on IMDb, the audience voted it the greatest film ever made and it has stayed there ever since. It took 14 years to get there, a box office bomb turned into the highest rated film in history, built entirely by viewers long after the studio had already moved on.

The Shawshank Redemption flopped in theaters, $16 million worldwide on a $25 million budget, opening weekend just $727,000 in 1994, it disappeared almost immediately. It lost all seven Oscar nominations to Forrest Gump, no awards, no box office, the studio labeled it a failure and the director walked away devastated. Then something quiet started happening, VHS rentals, cable reruns, someone watching it alone on a Tuesday night and calling a friend the next morning. People who watched it told their friends, their friends told more people, it spread slowly, one recommendation at a time, no marketing push just genuine word of mouth. By 2008 it reached number one on IMDb, the audience voted it the greatest film ever made and it has stayed there ever since. It took 14 years to get there, a box office bomb turned into the highest rated film in history, built entirely by viewers long after the studio had already moved on.

Movies Scenes 🎫

2,835,653 Aufrufe • vor 4 Monaten

It would mean the world to my team and I if you guys downloaded our mobile game “WAGMI Defense” and left a review on the app store. We’ve been building for the last 4 years as a fully boostrapped indie studio. It’s been a tremendous amount of work, but we are so excited to finally be able to share our vision with the world.👾 Original Characters, ANIME, WEBTOON Comic, youtooz and Toys. We left no stone unturned at WAGMI Games . People always say “Pay it forward”. Well, it was my love for video games and comics that helped me build amazing friendships and shape me into the person I am today. I’d love for our Characters & Universe to help shape future generations through fun gameplay and great storytelling. 🙏

It would mean the world to my team and I if you guys downloaded our mobile game “WAGMI Defense” and left a review on the app store. We’ve been building for the last 4 years as a fully boostrapped indie studio. It’s been a tremendous amount of work, but we are so excited to finally be able to share our vision with the world.👾 Original Characters, ANIME, WEBTOON Comic, youtooz and Toys. We left no stone unturned at WAGMI Games . People always say “Pay it forward”. Well, it was my love for video games and comics that helped me build amazing friendships and shape me into the person I am today. I’d love for our Characters & Universe to help shape future generations through fun gameplay and great storytelling. 🙏

Scott Herman

13,662 Aufrufe • vor 9 Monaten