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8-year-old from China is writing Python and automating a YouTube system that makes $10,000 a month. Game loop, replay function, player markers - found the bug himself, explained the logic out loud, fixed the line through a projector on the entire wall. That same code in a year becomes... part of a pipeline that generates videos, voices them through ElevenLabs and publishes to 5 platforms simultaneously. A high schooler with a $20 ChatGPT 5.5 subscription is already making $6,000-10,000 a month - no camera, no face, no team. This kid is building the same thing but understands every line from the inside. The difference between someone who uses the system and someone who builds it - a $20 subscription vs your own engine under the hood. At 8 years old he's already on the second path.show more

Noisy

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99,140 görüntüleme • 1 ay önce •via X (Twitter)

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18-year-old American girl made $10,000 in a month on YouTube videos made entirely by ChatGPT 5.5 $20 subscription, an old laptop and a formula most people don't see. Finds a kids channel with millions of views - copies the structure, not the content. ChatGPT rewrites the script, PixArt Flow with Sora 2 generates the video, ElevenLabs voices it. 20 minutes - a finished video with the viral formula built in. YouTube pays $4,000-15,000 per million views on kids content - the highest rate on the entire platform. TikTok Shop on top: AI analyzes a product in 30 seconds, writes 10 hooks, generates content for 5 platforms simultaneously. Month 1 - $3000 Month 6 - $7,000 Year - $17,000 every month. The most expensive camera in the world is the one you never opened.

18-year-old American girl made $10,000 in a month on YouTube videos made entirely by ChatGPT 5.5 $20 subscription, an old laptop and a formula most people don't see. Finds a kids channel with millions of views - copies the structure, not the content. ChatGPT rewrites the script, PixArt Flow with Sora 2 generates the video, ElevenLabs voices it. 20 minutes - a finished video with the viral formula built in. YouTube pays $4,000-15,000 per million views on kids content - the highest rate on the entire platform. TikTok Shop on top: AI analyzes a product in 30 seconds, writes 10 hooks, generates content for 5 platforms simultaneously. Month 1 - $3000 Month 6 - $7,000 Year - $17,000 every month. The most expensive camera in the world is the one you never opened.

Noisy

158,006 görüntüleme • 1 ay önce

A 20-year-old student built a YouTube machine that runs itself and prints $38,000 a month The whole system runs on Claude and Premiere Pro stitched together. Claude scouts high-CPM niches and writes every script. Python pipes the scripts into Premiere where the videos get cut and exported on their own. The channels were already past a million views on Shorts in the first month. On the side he sells the same pipeline as a service to other creators. $400 per client video, 20 minutes of his actual time per delivery. Around 25 videos a week stacks up to roughly $10,000 from clients alone. Add the channel revenue on top and the whole thing clears $38,000 a month. He's 20, no team, no office, no editor, just a laptop running Claude 24/7. Save this before every faceless YouTuber in your feed switches to the same stack.

A 20-year-old student built a YouTube machine that runs itself and prints $38,000 a month The whole system runs on Claude and Premiere Pro stitched together. Claude scouts high-CPM niches and writes every script. Python pipes the scripts into Premiere where the videos get cut and exported on their own. The channels were already past a million views on Shorts in the first month. On the side he sells the same pipeline as a service to other creators. $400 per client video, 20 minutes of his actual time per delivery. Around 25 videos a week stacks up to roughly $10,000 from clients alone. Add the channel revenue on top and the whole thing clears $38,000 a month. He's 20, no team, no office, no editor, just a laptop running Claude 24/7. Save this before every faceless YouTuber in your feed switches to the same stack.

winkle.

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She makes $8,000 a month from kids videos she never filmed No camera, no face and zero experience needed. She finds the songs kids are already watching millions of times on YouTube. Takes the audio and builds a simple looping video around it. Uploads it once and the views keep coming in while she sleeps. Kids play the same clip on repeat for hours and YouTube pays for every single one. Month 1 → $300 → Month 2 → $1,200 → Month 3 → $4,000 → Month 6 → $8,000 The craziest part is she never filmed a single second of footage. Save this before you send another resume.

She makes $8,000 a month from kids videos she never filmed No camera, no face and zero experience needed. She finds the songs kids are already watching millions of times on YouTube. Takes the audio and builds a simple looping video around it. Uploads it once and the views keep coming in while she sleeps. Kids play the same clip on repeat for hours and YouTube pays for every single one. Month 1 → $300 → Month 2 → $1,200 → Month 3 → $4,000 → Month 6 → $8,000 The craziest part is she never filmed a single second of footage. Save this before you send another resume.

winkle.

11,135 görüntüleme • 27 gün önce

the concept of a 29 year old actor playing a high schooler who impregnates another high schooler played by a 16 year old actress … and who the fuck decided to give him the platform to literally showoff that he is grooming her? The bar is LOW.

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ghinaa࿐

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Shocked that someone from the PPP can pass judgment on Sohail Afridi and call him a "novice", the same party that stands in line to an 18 year old who inherits the party. Pure hypocrisy that reeks of both elitism and racism!

Shocked that someone from the PPP can pass judgment on Sohail Afridi and call him a "novice", the same party that stands in line to an 18 year old who inherits the party. Pure hypocrisy that reeks of both elitism and racism!

Taimur Saleem Khan Jhagra

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A guy makes $100K a month putting people to sleep with AI The whole channel is fake. No host, no narrator, nothing real. His name is Leo. He picked a weirdly powerful niche, history stories for people who want to fall asleep. The channel is called Sleepless Historian and it ships boring medieval history videos that are 30 minutes to 3 hours long. People put it on at night, drift off, and the watch time goes through the roof. The whole pipeline runs on AI tools stacked together. He generates the script with ChatGPT and a tool called Subscribr that writes full 60+ minute narrations on autopilot. The voiceover is done in ElevenLabs with a calm British narrator voice. The visuals are generated in medieval scenes that loop quietly under the audio. Everything gets stitched together in CapCut with ambient sound effects from Artlist. One video took him a few hours. The channel hit 887K subscribers and pulls around $100K a month from YouTube ad revenue alone. And he's doing the same play across multiple niches at once. One viral video on another of his channels has already done 2.9M views and 50.7M impressions. You don't need a face, a voice, or even an idea of your own. You just need the stack and a niche the algorithm is hungry for.

A guy makes $100K a month putting people to sleep with AI The whole channel is fake. No host, no narrator, nothing real. His name is Leo. He picked a weirdly powerful niche, history stories for people who want to fall asleep. The channel is called Sleepless Historian and it ships boring medieval history videos that are 30 minutes to 3 hours long. People put it on at night, drift off, and the watch time goes through the roof. The whole pipeline runs on AI tools stacked together. He generates the script with ChatGPT and a tool called Subscribr that writes full 60+ minute narrations on autopilot. The voiceover is done in ElevenLabs with a calm British narrator voice. The visuals are generated in medieval scenes that loop quietly under the audio. Everything gets stitched together in CapCut with ambient sound effects from Artlist. One video took him a few hours. The channel hit 887K subscribers and pulls around $100K a month from YouTube ad revenue alone. And he's doing the same play across multiple niches at once. One viral video on another of his channels has already done 2.9M views and 50.7M impressions. You don't need a face, a voice, or even an idea of your own. You just need the stack and a niche the algorithm is hungry for.

winkle.

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THIS GUY JUST BUILT A DRONE THAT TRACKS TARGETS WITH A LASER USING CLAUDE > No robotics team > No engineering degree > No budget He used Claude Code to write the entire system in Python - a drone that locks onto a target, follows it with a laser and corrects its own aim automatically after every attempt. The AI gets more accurate the longer it runs because it learns from every single shot. He's still improving it and this is only the beginning. You have the same tool he used. The article below is about how to actually use it to its full potential.

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Sprytix

85,583 görüntüleme • 2 ay önce

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Your kid has watched that cartoon 40 times this week. Nobody created it, but this girl earned $20,000 from it. No animator. No studio. No team of writers sitting in a meeting room arguing about a talking dog. One person. Claude wrote the script. Pixar Flow animated it. ElevenLabs voiced it. The whole thing built in 5 minutes from a template that already existed. Your kid watched it anyway. Finished it. Asked to watch it again. Kids content keeps viewers watching longer than almost any other niche on YouTube. $20 subscription. 5 minutes per video. One upload a day. The cartoon your kid won't stop watching. Someone made that between breakfast and work.

Superior

168,285 görüntüleme • 1 ay önce

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

zostaff

229,505 görüntüleme • 2 ay önce

A Russian developer just figured out how to learn anything 10x faster. He saved 1,460 hours using 3 tools most people already have. NotebookLM + Gemini + Obsidian. Here is how it works. You dump any source into the system. YouTube videos. Articles. Courses. Podcasts. All of it. The AI strips out every duplicate concept across all your sources. Then it keeps only the information you do not know yet. Think about what that means. 20 YouTube videos on the same topic each one repeating the same 20% of information you already know. This system removes that 80% of noise automatically. What used to take a month of learning compresses into 15 minutes of pure signal. No repetition. No fluff. Just the exact knowledge gap between where you are and where you want to be. This is not a productivity hack. This is a completely different way of consuming information. The people who build this system this week are going to compound their knowledge at a rate that is genuinely unfair compared to everyone still watching the same tutorial for the third time. Full credit to roger_zp@hotmail.com on YouTube. Go watch his breakdown. Then build the system today.

A Russian developer just figured out how to learn anything 10x faster. He saved 1,460 hours using 3 tools most people already have. NotebookLM + Gemini + Obsidian. Here is how it works. You dump any source into the system. YouTube videos. Articles. Courses. Podcasts. All of it. The AI strips out every duplicate concept across all your sources. Then it keeps only the information you do not know yet. Think about what that means. 20 YouTube videos on the same topic each one repeating the same 20% of information you already know. This system removes that 80% of noise automatically. What used to take a month of learning compresses into 15 minutes of pure signal. No repetition. No fluff. Just the exact knowledge gap between where you are and where you want to be. This is not a productivity hack. This is a completely different way of consuming information. The people who build this system this week are going to compound their knowledge at a rate that is genuinely unfair compared to everyone still watching the same tutorial for the third time. Full credit to [email protected] on YouTube. Go watch his breakdown. Then build the system today.

CyrilXBT

49,011 görüntüleme • 3 ay önce

line diffs are 20 years old. they still can't tell the difference between "renamed a variable" and "rewrote the logic." your diff tool doesn't understand your code, it never did. we fixed that, introducing Semantic diffs!

line diffs are 20 years old. they still can't tell the difference between "renamed a variable" and "rewrote the logic." your diff tool doesn't understand your code, it never did. we fixed that, introducing Semantic diffs!

Palani — oss/acc

169,732 görüntüleme • 3 ay önce

This girl made $10,000 without leaving her room. She opened YouTube. Found a kids video with 40 million views. Nobody's name on the channel. No face anywhere. Just a cartoon about counting and colors. She copied the link. Pasted it into PixArt Flow. Pressed generate. Five minutes later she had a video that looked exactly like it. She posted it. Went to sleep. Woke up to 4,000 views. A 3 year old doesn't have a skip button in their head. They just watch. Until the screen goes dark. Then they cry until someone turns it back on. YouTube counts every second of that. Rewards it. Pushes the video to the next kid. $66/month in tools. No face. No name on the channel. Month 3. $10,000. She still doesn't have her name on anything.

This girl made $10,000 without leaving her room. She opened YouTube. Found a kids video with 40 million views. Nobody's name on the channel. No face anywhere. Just a cartoon about counting and colors. She copied the link. Pasted it into PixArt Flow. Pressed generate. Five minutes later she had a video that looked exactly like it. She posted it. Went to sleep. Woke up to 4,000 views. A 3 year old doesn't have a skip button in their head. They just watch. Until the screen goes dark. Then they cry until someone turns it back on. YouTube counts every second of that. Rewards it. Pushes the video to the next kid. $66/month in tools. No face. No name on the channel. Month 3. $10,000. She still doesn't have her name on anything.

Superior

562,433 görüntüleme • 29 gün önce

Parker crashes out while debating with a caller on the PDF topic.. He said at the end that 17 years & 364 days is the same level of PDF as an 8 year old even for a 25 year old.

Parker crashes out while debating with a caller on the PDF topic.. He said at the end that 17 years & 364 days is the same level of PDF as an 8 year old even for a 25 year old.

KaizerRev

277,253 görüntüleme • 2 ay önce

This girl make $10,000/month from kids videos All from a phone Find a viral abc song on YouTube Copy the lyrics from the description Ask ChatGPT for a cartoon prompt Paste it into an AI video tool. Puppies, letters, balloons, bright colors. No face, no camera, no team Upload daily Kids replay this stuff nonstop YouTube pays for the loop Bookmark this before everyone tries it

This girl make $10,000/month from kids videos All from a phone Find a viral abc song on YouTube Copy the lyrics from the description Ask ChatGPT for a cartoon prompt Paste it into an AI video tool. Puppies, letters, balloons, bright colors. No face, no camera, no team Upload daily Kids replay this stuff nonstop YouTube pays for the loop Bookmark this before everyone tries it

rari

80,408 görüntüleme • 1 ay önce

i built a full game on a single GPU with a 3B model and this is the worst local AI will ever be. this was supposed to be a benchmark test. load the model, measure tokens per second, write it up, move on. instead i spent 20 minutes playing Octopus Invaders because the game is genuinely fun and i couldn't stop. a model with 3B active parameters built this from a single prompt. it debugged its own collision system when bullets were phasing through enemies. read the error, found the fix, kept building. this is not a frontier API. this is a quantized open source model running on hardware you can buy used for $800-$1200. no cloud. no subscription. no API costs. just a mass produced consumer GPU doing things that would have been absurd 12 months ago. and here's the part that should keep you up at night: every month the models get smaller and smarter. the quants get tighter. the context windows get longer. the tooling gets cleaner. what 3B active parameters does today on 24gb, a 1B model will do on 8gb within a year. you are looking at the floor. not the ceiling.

i built a full game on a single GPU with a 3B model and this is the worst local AI will ever be. this was supposed to be a benchmark test. load the model, measure tokens per second, write it up, move on. instead i spent 20 minutes playing Octopus Invaders because the game is genuinely fun and i couldn't stop. a model with 3B active parameters built this from a single prompt. it debugged its own collision system when bullets were phasing through enemies. read the error, found the fix, kept building. this is not a frontier API. this is a quantized open source model running on hardware you can buy used for $800-$1200. no cloud. no subscription. no API costs. just a mass produced consumer GPU doing things that would have been absurd 12 months ago. and here's the part that should keep you up at night: every month the models get smaller and smarter. the quants get tighter. the context windows get longer. the tooling gets cleaner. what 3B active parameters does today on 24gb, a 1B model will do on 8gb within a year. you are looking at the floor. not the ceiling.

Sudo su

36,251 görüntüleme • 4 ay önce

A 16-YEAR-OLD IS MAKING $30,000/MONTH ON SPOTIFY. HIS ONLY EXPENSE IS $10 $10 for Suno. $23 a year to publish on Spotify. a niche nobody's fighting for he generates tracks in 30 seconds, uploads 10-20 a week under different artist names, and watches the royalties come in every month sleep music. study music. lo-fi. meditation. the genres real musicians ignore. the same ones keeping people on loop for hours and paying out per stream a woman used the same $10 app and landed a $3,000,000 record deal. she never turned on her camera at the label meeting the window is open. most people will scroll past this bookmark this and give it a few minute this week, then read the article below - it's worth it

A 16-YEAR-OLD IS MAKING $30,000/MONTH ON SPOTIFY. HIS ONLY EXPENSE IS $10 $10 for Suno. $23 a year to publish on Spotify. a niche nobody's fighting for he generates tracks in 30 seconds, uploads 10-20 a week under different artist names, and watches the royalties come in every month sleep music. study music. lo-fi. meditation. the genres real musicians ignore. the same ones keeping people on loop for hours and paying out per stream a woman used the same $10 app and landed a $3,000,000 record deal. she never turned on her camera at the label meeting the window is open. most people will scroll past this bookmark this and give it a few minute this week, then read the article below - it's worth it

starmex

478,348 görüntüleme • 2 ay önce

"You can't have a player who is being guided by relationist and positionist principles at the same time...In the same action...the difference is fundamental...a player is always occupying a position on the field, that is trivial...the issue is his relationship with that space"

"You can't have a player who is being guided by relationist and positionist principles at the same time...In the same action...the difference is fundamental...a player is always occupying a position on the field, that is trivial...the issue is his relationship with that space"

Jamie Hamilton

12,121 görüntüleme • 6 ay önce

THIS GUY BUILT HIS OWN TEAM OF AI AGENTS THAT WORK FOR HIM 24/7 WHILE HE'S OUT AND ABOUT AND NEVER TYPES A SINGLE COMMAND Jarvis + GitHub + ChatGPT 5.5 - 9 agents, 5 memory backends and one orchestrator named Cortana that decides which agent gets which task automatically. He doesn't type commands. He doesn't monitor progress. Cortana reads the task, distributes it across agents and every update shows up on the operations board in real time while he lives his life. The difference between someone who types every request manually and someone who built a system that works without them - that's $10,000 a month and 40 hours of free time every week.

THIS GUY BUILT HIS OWN TEAM OF AI AGENTS THAT WORK FOR HIM 24/7 WHILE HE'S OUT AND ABOUT AND NEVER TYPES A SINGLE COMMAND Jarvis + GitHub + ChatGPT 5.5 - 9 agents, 5 memory backends and one orchestrator named Cortana that decides which agent gets which task automatically. He doesn't type commands. He doesn't monitor progress. Cortana reads the task, distributes it across agents and every update shows up on the operations board in real time while he lives his life. The difference between someone who types every request manually and someone who built a system that works without them - that's $10,000 a month and 40 hours of free time every week.

Cortex

55,436 görüntüleme • 1 ay önce