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A 21-year-old solo developer stopped chasing AI trends and locked in a $35,000/month B2B niche using a single Python script He built a production-ready traffic monitoring Micro-SaaS that smart cities and businesses pay big money for He didn't build complex AI agent teams He just paired an open-source model...

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Ridark

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29,326 просмотров • 1 месяц назад •via X (Twitter)

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> be a solo developer > hear that B2B clients pay $35,000/month for traffic data > assume you need a massive team > assume you need proprietary AI models > assume you need venture capital > open VS Code > write a single Python script > pairing an open-source model with a high-ticket commercial concept > 6 core features. 0 frame drops. 0 lag > powered by YOLOv8, Supervision, and ByteTrack > install and optimize the pipeline in minutes > define a custom Polygon Zone to filter out all noise > system follows a military-like routine every single day > tracks bounding boxes and calculates real-time telemetry > doesn’t even use raw screen pixels for calculation > one single feature (Perspective Transform via OpenCV) converts pixels to real meters > generates high-value Excel traffic reports for smart cities > $0 in VC funding > same accuracy as an enterprise infrastructure team > follow the detailed guide below to repeat
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> be a solo developer > hear that B2B clients pay $35,000/month for traffic data > assume you need a massive team > assume you need proprietary AI models > assume you need venture capital > open VS Code > write a single Python script > pairing an open-source model with a high-ticket commercial concept > 6 core features. 0 frame drops. 0 lag > powered by YOLOv8, Supervision, and ByteTrack > install and optimize the pipeline in minutes > define a custom Polygon Zone to filter out all noise > system follows a military-like routine every single day > tracks bounding boxes and calculates real-time telemetry > doesn’t even use raw screen pixels for calculation > one single feature (Perspective Transform via OpenCV) converts pixels to real meters > generates high-value Excel traffic reports for smart cities > $0 in VC funding > same accuracy as an enterprise infrastructure team > follow the detailed guide below to repeat

Ridark

20,935 просмотров • 1 месяц назад

A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this
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A YouTube creator decided to stop manual editing and made over $30,000 in a single month He built an automated system that generates high-performing faceless videos using a single AI pipeline He didn't hire expensive video editors or scriptwriters He just paired Claude's desktop app with a graphics generation platform Every single video follows a precise, mechanical routine: extract competitor transcripts, rewrite with AI, and auto-generate assets For less than 20 minutes per video, the system does the heavy lifting. Zero complex timelines, zero hours wasted on rendering. Just pure automated production He doesn't even manual-search prompts anymore because his AI directly commands other neural networks to generate and animate visual frames Out of multiple channels launched in this niche, most creators struggle to get noticed But his single automation setup now generates millions of views on American YouTube alone His main secret? He uses Claude to auto-name files by exact timestamps so he can assemble a 10-minute video instantly I recommend watching the full video below Bookmark this

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This 22-year-old American developer showed how he makes $14,200 a month using just a dual-GPU setup and Cohere’s new open-weights model. He doesn't have a powerhouse dev team. No massive VC funding. No expensive enterprise infrastructure. He built a "localized AI workflow" powered by the newly dropped Command A+ model → an ultra-efficient system he calls “algorithmic mining.” The system works like this: 1 open-weights model → Apache 2.0 license integration → Command A+'s Mixture of Experts (MoE) processes complex data at lightning speed → Quantized architecture runs smoothly on just 2 GPUs → Automated agents handle enterprise-level tasks while he sleeps. 3 recurring revenue streams from a 72-hour implementation: > $49/month Essential API access > $99/month Scale tier for small teams > $199/month Custom enterprise pipeline > Delivered with near-zero hosting latency > Total setup time: 3 days He didn't wait for massive cloud budget approval. He took a highly practical, open-source-friendly model, spun it up locally, and built the exact kind of agents usually reserved for Fortune 500 companies. As the developer put it perfectly: In the open-weight era, efficiency and raw speed are the ultimate leverage.
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This 22-year-old American developer showed how he makes $14,200 a month using just a dual-GPU setup and Cohere’s new open-weights model. He doesn't have a powerhouse dev team. No massive VC funding. No expensive enterprise infrastructure. He built a "localized AI workflow" powered by the newly dropped Command A+ model → an ultra-efficient system he calls “algorithmic mining.” The system works like this: 1 open-weights model → Apache 2.0 license integration → Command A+'s Mixture of Experts (MoE) processes complex data at lightning speed → Quantized architecture runs smoothly on just 2 GPUs → Automated agents handle enterprise-level tasks while he sleeps. 3 recurring revenue streams from a 72-hour implementation: > $49/month Essential API access > $99/month Scale tier for small teams > $199/month Custom enterprise pipeline > Delivered with near-zero hosting latency > Total setup time: 3 days He didn't wait for massive cloud budget approval. He took a highly practical, open-source-friendly model, spun it up locally, and built the exact kind of agents usually reserved for Fortune 500 companies. As the developer put it perfectly: In the open-weight era, efficiency and raw speed are the ultimate leverage.

Ridark

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15-year-old American made $14,000 in his first month selling a service most marketers have never even heard of. Every time someone searches for a business on Google - the first thing they see is an AI response, not a website and not an ad. ChatGPT gives 5-6 recommendations and if a business isn't there - the customer goes to a competitor without a single click. His secret - AI visibility. He optimized local businesses to appear in ChatGPT responses, Google AI Overview and Meta AI instead of paying for ads that no longer work. He'd walk up to a business owner, show them that their business didn't appear in AI responses and ask if they wanted to fix it. Almost everyone said yes immediately. 8 clients at $800 in the first month, 20 clients in the second - because every satisfied client referred him to someone else. This isn't a marketing problem - it's a visibility problem. And he was the only one solving it in his city.
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15-year-old American made $14,000 in his first month selling a service most marketers have never even heard of. Every time someone searches for a business on Google - the first thing they see is an AI response, not a website and not an ad. ChatGPT gives 5-6 recommendations and if a business isn't there - the customer goes to a competitor without a single click. His secret - AI visibility. He optimized local businesses to appear in ChatGPT responses, Google AI Overview and Meta AI instead of paying for ads that no longer work. He'd walk up to a business owner, show them that their business didn't appear in AI responses and ask if they wanted to fix it. Almost everyone said yes immediately. 8 clients at $800 in the first month, 20 clients in the second - because every satisfied client referred him to someone else. This isn't a marketing problem - it's a visibility problem. And he was the only one solving it in his city.

Noisy

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Brett makes $1.3M/year as a solopreneur and runs his business entirely from home. But the craziest part? He doesn't take a single client meeting or Zoom call... To manage 20+ clients completely by himself without burning out, he relies on a dead-simple framework: > clients drop design requests straight into a Trello queue > he knocks them out one-by-one with zero async clutter or Slack messaging His total overhead to run the business? Exactly $176 a month. He didn't even quit his 9-to-5 day job until he was bringing in $80,000 a month from his side hustle.
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Brett makes $1.3M/year as a solopreneur and runs his business entirely from home. But the craziest part? He doesn't take a single client meeting or Zoom call... To manage 20+ clients completely by himself without burning out, he relies on a dead-simple framework: > clients drop design requests straight into a Trello queue > he knocks them out one-by-one with zero async clutter or Slack messaging His total overhead to run the business? Exactly $176 a month. He didn't even quit his 9-to-5 day job until he was bringing in $80,000 a month from his side hustle.

Starter Story

21,144 просмотров • 1 месяц назад

Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch
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Andrew Wilkinson owns 40+ businesses. He just showed me how he's using OpenClaw, Claude Code and AI agents to run latest business, start new ones, and automate everything. Here's what I learned: 1. In December 2025, something clicked. He started waking up at 3AM with a smile, sitting in terminal with 10 Claude Code tabs open. He hasn't stopped since. He calls it chasing the dragon. 2.He built a full SaaS product called Deep Personality. A 40-minute personality test that generates a 100-page report written like Robert Greene. $20 000 in revenue. Zero employees. The entire business runs on AI agents. 3. He has agents for support, marketing, and dev. When a support ticket comes in, the agent either handles it or sends it to the dev agent. If it's critical, the agent fixes the bug and merges the PR before he wakes up. Then it emails the customer back. 4. His marketing agent is connected to PostHog, manages Meta and Reddit ads, creates ad creative, runs multivariate tests, and sets budgets. He's about to give it a $100 k/month ad budget and see what happens. 5. He forgot his laptop on a trip to Arizona. He ran his entire business from the back of Ubers using OpenClaw. Nobody picked up that every single email was written by AI. 6. His take on vibe coding: the worst part about business is people. Between your vision and execution are 100 people you have to convince. Vibe coding removes all of them. For the first time he can do every part of building a product himself. 7. He was trying to build OpenClaw before OpenClaw existed. Now he uses a tool called Harbor, which is basically a GUI for managing multiple agents. You can see all your agents, their status, knowledge bases, and databases in one place. 8. He built a custom AI for his relationship. He and his girlfriend took 15 psychological tests, put the results into ChatGPT, and asked it to analyze their relationship. It nailed every fight they've ever had. That became the product idea for Deep Personality. 9. His honest take: he spends 50% of his time debugging, 30% improving the setup, and 20% being productive. It's a treadmill. But the 20% that works is so powerful he can't stop. 10. His prediction: we're 3-6 months from being able to hand basic businesses off to AI to run entirely. And pretty soon Anthropic and OpenAI are going to launch AI CEOs. This is an inside look at how a serious operator Andrew Wilkinson is using AI agents in the real world. The good, the bad, the debugging, all of it. Most people don't show you this. Episode is live on The Startup Ideas Podcast (SIP) 🧃 watch

GREG ISENBERG

144,005 просмотров • 2 месяцев назад

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.
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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

230,194 просмотров • 3 месяцев назад

A 22-year-old automated his entire YouTube channel using Claude. $8,000 a month. He doesn't even touch the videos. No camera. No editing. No burnout. Just Claude. He opens it once and tells it what to do. Claude handles everything: > finds trending topics in his niche > writes titles and descriptions built for the algorithm > generates full video scripts > creates tags, timestamps, promotional posts One prompt. One channel. One person. $8,000 a month running on autopilot. The channel works while he sleeps. While he eats. While he lives his life. Most people still think YouTube means filming, editing, grinding for years before seeing a dollar. He just taught an AI to do it for him. And while you're reading this — his channel is already getting views. The craziest part? He's not a developer. Not a tech guy. Not some Silicon Valley genius. He's just someone who stopped overcomplicating it. The tools exist. The opportunity is wide open. The only question is why it's still not you.
1:28

A 22-year-old automated his entire YouTube channel using Claude. $8,000 a month. He doesn't even touch the videos. No camera. No editing. No burnout. Just Claude. He opens it once and tells it what to do. Claude handles everything: > finds trending topics in his niche > writes titles and descriptions built for the algorithm > generates full video scripts > creates tags, timestamps, promotional posts One prompt. One channel. One person. $8,000 a month running on autopilot. The channel works while he sleeps. While he eats. While he lives his life. Most people still think YouTube means filming, editing, grinding for years before seeing a dollar. He just taught an AI to do it for him. And while you're reading this — his channel is already getting views. The craziest part? He's not a developer. Not a tech guy. Not some Silicon Valley genius. He's just someone who stopped overcomplicating it. The tools exist. The opportunity is wide open. The only question is why it's still not you.

Shelpid.WI3M

182,344 просмотров • 2 месяцев назад

A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.
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A 24-year-old launched a faceless YouTube channel 13 days ago. In the first month, he has already accumulated $4,000, but he has not shot a single frame.. His investment: a $20 subscription to Claude. No camera, no editor, no voice of his own. THE SYSTEM WORKS LIKE THIS: - Claude writes the full script from one topic prompt - an AI voice narrates it - an AI tool generates the animation and the visuals - one template, repeated forever: "the economics of owning an airport" / "…a private jet" / "…a hospital" - it publishes on a schedule while he sleeps The first 12 days, from zero: > "Why a Fan Can Kill You" -> 272,000 views > second video -> 136,000 views in 6 days > subscribers -> 4,300 > month-one pace -> ~$4,000 And it's replicable. One of his students launched "Mr. Finance" on the same template 13 days ago: > 10,800 subscribers > finance-niche RPM -> ~$7 per 1,000 views > one video on the economics of shopping malls -> $500+ on its own He didn't become a creator. He built a press that prints episodes. The whole stack is public. Everyone has the same $20 Claude. He just pointed it at a niche and refused to stop publishing.

Ridark

141,369 просмотров • 11 дней назад

A 16-year-old American student made $7,000 in his first month after publishing his first game on Google Play - and GPT-5.5 built the whole thing for him. He had zero programming knowledge and no $50,000 dev team. He just opened GPT-5.5, described what he wanted to build, and went to play while the AI wrote every line of code for him. GPT-5.5 built a complete 3D game called Hormuz Escape from scratch - obstacle avoidance mechanics, high score system, particle effects, AdMob integration for ads, and a Firebase leaderboard. All from one prompt in a week of work. A Google Play Developer account cost $25 once and forever. 10,000 active players at $0.03 a day through AdMob is already $9,000 a month in passive income. He stopped at $7,000 in the first month and the number keeps growing. 3 billion Android devices in the world and the Play Store is open to anyone with $25 and an idea. AI removed the last barrier - needing to know how to code. $25 to register, One week of work. $7,000 in the first month.
1:00

A 16-year-old American student made $7,000 in his first month after publishing his first game on Google Play - and GPT-5.5 built the whole thing for him. He had zero programming knowledge and no $50,000 dev team. He just opened GPT-5.5, described what he wanted to build, and went to play while the AI wrote every line of code for him. GPT-5.5 built a complete 3D game called Hormuz Escape from scratch - obstacle avoidance mechanics, high score system, particle effects, AdMob integration for ads, and a Firebase leaderboard. All from one prompt in a week of work. A Google Play Developer account cost $25 once and forever. 10,000 active players at $0.03 a day through AdMob is already $9,000 a month in passive income. He stopped at $7,000 in the first month and the number keeps growing. 3 billion Android devices in the world and the Play Store is open to anyone with $25 and an idea. AI removed the last barrier - needing to know how to code. $25 to register, One week of work. $7,000 in the first month.

Sprytix

85,583 просмотров • 3 месяцев назад

A 23-year-old made $5,000 last month from AI. No employees. No office. He didn't write a single line of code. While you're still "thinking about getting into AI," he picked three tiny lanes and quietly took them. Lane 1 — Micro SaaS. He found one thing people pay to do by hand. Built one AI tool that does it in a click. Not a platform. One feature. $19/month, 300 people paying, and he hasn't touched it in weeks. Lane 2 — Productized AI agents. He built an AI agent that answers a dentist's phone, books the patient, and texts the confirmation. Set up once. The clinic pays $1,200 a month to keep it alive. He has nine of them now. He's never met a single patient. Lane 3 — Prompt libraries. He packaged the prompts that actually work "30 hooks that go viral," "50 cold emails that get replies" - into one file. Made it once. Sells it forever. Same file, every day, while he sleeps. Now the part that should sting a little. He didn't invent anything. The tools are free. The skills are free. AI does the hard part now. The only thing left to own is the niche and there are millions of them sitting wide open while everyone fights to build the next big app nobody asked for. He's not smarter than you. He just stopped scrolling and picked a lane. You're still scrolling.
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A 23-year-old made $5,000 last month from AI. No employees. No office. He didn't write a single line of code. While you're still "thinking about getting into AI," he picked three tiny lanes and quietly took them. Lane 1 — Micro SaaS. He found one thing people pay to do by hand. Built one AI tool that does it in a click. Not a platform. One feature. $19/month, 300 people paying, and he hasn't touched it in weeks. Lane 2 — Productized AI agents. He built an AI agent that answers a dentist's phone, books the patient, and texts the confirmation. Set up once. The clinic pays $1,200 a month to keep it alive. He has nine of them now. He's never met a single patient. Lane 3 — Prompt libraries. He packaged the prompts that actually work "30 hooks that go viral," "50 cold emails that get replies" - into one file. Made it once. Sells it forever. Same file, every day, while he sleeps. Now the part that should sting a little. He didn't invent anything. The tools are free. The skills are free. AI does the hard part now. The only thing left to own is the niche and there are millions of them sitting wide open while everyone fights to build the next big app nobody asked for. He's not smarter than you. He just stopped scrolling and picked a lane. You're still scrolling.

Rich

11,331 просмотров • 1 месяц назад

This guy is setting up passive income for the rest of his life by selling digital books on Amazon While you are stuck at a 9 to 5, he uses a software called Book Bolt to find high demand, low competition products that people are already searching for He doesn't even write or draw anything himself. He just uses Midjourney AI to generate images for a coloring book and drops them into Canva Amazon handles all the traffic and customers and he just collects the passive income indefinitely You could launch your own AI generated book empire tonight with zero inventory and zero upfront cost But you'll probably just keep scrolling and ignore the easiest wealth hack of the year
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This guy is setting up passive income for the rest of his life by selling digital books on Amazon While you are stuck at a 9 to 5, he uses a software called Book Bolt to find high demand, low competition products that people are already searching for He doesn't even write or draw anything himself. He just uses Midjourney AI to generate images for a coloring book and drops them into Canva Amazon handles all the traffic and customers and he just collects the passive income indefinitely You could launch your own AI generated book empire tonight with zero inventory and zero upfront cost But you'll probably just keep scrolling and ignore the easiest wealth hack of the year

Nekt0

12,503 просмотров • 1 месяц назад

Do you actually understand what's happening. He built an AI box that costs less than one month of AI subscriptions. He built his for under $200. A Raspberry Pi 5 with a touchscreen and a power bank. He almost didn't bother. It looked too simple to matter. Then he ran two commands, connected six agents, and watched it start handling work he used to pay $250/month in subscriptions for. Month two cost: $3 in electricity. Now he shows people the setup and watches their faces. It still looks like a toy. It stopped being one around the time the first invoice came in.
0:54

Do you actually understand what's happening. He built an AI box that costs less than one month of AI subscriptions. He built his for under $200. A Raspberry Pi 5 with a touchscreen and a power bank. He almost didn't bother. It looked too simple to matter. Then he ran two commands, connected six agents, and watched it start handling work he used to pay $250/month in subscriptions for. Month two cost: $3 in electricity. Now he shows people the setup and watches their faces. It still looks like a toy. It stopped being one around the time the first invoice came in.

Superior

41,136 просмотров • 1 месяц назад

He started using Claude AI and made $25,000 in his first month The guy could not even hide how much it changed his life. He paid for Claude and treated it like a real business partner. Built workflows that automate client work, content and outreach all in one place. What used to take him 12 hours a day now takes 2. He started taking on triple the clients without burning out once. At $5,000 per client and five clients a month, the numbers move fast. That is $25,000 landing in his account from a tool that costs $20. Most people use Claude to write captions and call it a day. He used it to rebuild his entire income from the ground up. Follow if you want the exact workflows he uses to scale this.
0:46

He started using Claude AI and made $25,000 in his first month The guy could not even hide how much it changed his life. He paid for Claude and treated it like a real business partner. Built workflows that automate client work, content and outreach all in one place. What used to take him 12 hours a day now takes 2. He started taking on triple the clients without burning out once. At $5,000 per client and five clients a month, the numbers move fast. That is $25,000 landing in his account from a tool that costs $20. Most people use Claude to write captions and call it a day. He used it to rebuild his entire income from the ground up. Follow if you want the exact workflows he uses to scale this.

winkle.

21,373 просмотров • 1 месяц назад

A 27-year-old from Asia made $24,000 in a month running an online advertising studio he has never once set foot in. he used to be the streamer. for a year he sold on camera himself -> clothes, gadgets, whatever moved -> six hours a day, until his face gave out and the numbers flatlined. one person can only stand under the ring light so long. so he stopped being the talent and became the operator. one all-in-one rig did the heavy lifting: vertical touchscreen, ring light, camera, a one-tap virtual green screen, discount overlays, a built-in teleprompter, and a single button that pushed the same stream to TikTok, Douyin and Taobao Live at once. then he took himself out of the frame. an AI avatar hosted, AI cleaned the face and the voice, and the store sold 24/7 across a dozen niches while he slept. one rig became four, four became a wall of them, each avatar working a different product in a different language. the caps didn't come from being good on camera. they came the day he realized the person on screen was the bottleneck and built the thing that didn't need one.
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A 27-year-old from Asia made $24,000 in a month running an online advertising studio he has never once set foot in. he used to be the streamer. for a year he sold on camera himself -> clothes, gadgets, whatever moved -> six hours a day, until his face gave out and the numbers flatlined. one person can only stand under the ring light so long. so he stopped being the talent and became the operator. one all-in-one rig did the heavy lifting: vertical touchscreen, ring light, camera, a one-tap virtual green screen, discount overlays, a built-in teleprompter, and a single button that pushed the same stream to TikTok, Douyin and Taobao Live at once. then he took himself out of the frame. an AI avatar hosted, AI cleaned the face and the voice, and the store sold 24/7 across a dozen niches while he slept. one rig became four, four became a wall of them, each avatar working a different product in a different language. the caps didn't come from being good on camera. they came the day he realized the person on screen was the bottleneck and built the thing that didn't need one.

shmidt

86,144 просмотров • 24 дней назад

A guy runs AI ads for local roofers and they pay him $2,000-$5,000 a month each he doesn't film anything. He doesn't hire anyone he opens Facebook's Ad Library and finds ads that have been running for 6+ months - those are the proven winners then he drops them into Higgsfield and has it rebuild the same ad with the client's logo claude writes the script and the ad copy for him in one afternoon he's got 10-15 video ads for a roofing company that never ran a single ad before he launches them on Meta and leads start coming in through a simple form an AI bot texts every lead back in under 2 minutes and books them straight onto the client's calendar the roofer just wakes up to booked appointments. He has no idea AI did all of it some of these clients have paid him the same fee every month for 2 years straight he bills per lead or a flat retainer - either way it's recurring, and the AI does most of the work one skill, a few tools, and small local businesses that have never touched advertising save this, the quietest AI money right now isn't apps - it's running ads nobody knows are AI
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A guy runs AI ads for local roofers and they pay him $2,000-$5,000 a month each he doesn't film anything. He doesn't hire anyone he opens Facebook's Ad Library and finds ads that have been running for 6+ months - those are the proven winners then he drops them into Higgsfield and has it rebuild the same ad with the client's logo claude writes the script and the ad copy for him in one afternoon he's got 10-15 video ads for a roofing company that never ran a single ad before he launches them on Meta and leads start coming in through a simple form an AI bot texts every lead back in under 2 minutes and books them straight onto the client's calendar the roofer just wakes up to booked appointments. He has no idea AI did all of it some of these clients have paid him the same fee every month for 2 years straight he bills per lead or a flat retainer - either way it's recurring, and the AI does most of the work one skill, a few tools, and small local businesses that have never touched advertising save this, the quietest AI money right now isn't apps - it's running ads nobody knows are AI

Archive

104,586 просмотров • 2 месяцев назад

A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.
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A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.

Noisy

23,679 просмотров • 2 месяцев назад

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:
0:39

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

340,576 просмотров • 2 месяцев назад

Relay changes everything about building with AI. One single API key. Instantly switch between Claude for scripts, FLUX for stills, Kling for video, and MiniMax. No new accounts. No setup. No breaks in flow. Just change the model name and keep creating. Most see cheaper inference. The real advantage is zero friction; you stay in the zone the entire time. Neo, our AI agent, proved it: he built his own time travel video using the full Relay platform. ❤️ This is what seamless creation feels like. The video is fully automated by Neo using our Relay platform. He made all the scenes, music, and voice, scripted by himself. A bit rough around the edges, but he will get better. Build without limits. open-gpu:native
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Relay changes everything about building with AI. One single API key. Instantly switch between Claude for scripts, FLUX for stills, Kling for video, and MiniMax. No new accounts. No setup. No breaks in flow. Just change the model name and keep creating. Most see cheaper inference. The real advantage is zero friction; you stay in the zone the entire time. Neo, our AI agent, proved it: he built his own time travel video using the full Relay platform. ❤️ This is what seamless creation feels like. The video is fully automated by Neo using our Relay platform. He made all the scenes, music, and voice, scripted by himself. A bit rough around the edges, but he will get better. Build without limits. open-gpu:native

OpenGPU Network

473,452 просмотров • 2 месяцев назад

🏙️ A man decides to finally drone-map one of the wealthiest and most private cities in America — North Oaks, Minnesota, the only unmapped city left in the country. After he posts the footage, the city sends him a legal letter accusing him of invading their privacy and telling him never to return. He then discovers something that completely flips the script: the city has been using Flock surveillance cameras at every single entrance and exit, tracking every vehicle that comes and goes. This double standard launches him into a two-month deep dive into America’s massive surveillance system. In the end, he removes all his Street View images from Google Maps — except for one drone selfie of himself — and immediately re-uploads the rest to an open-source mapping platform. These kinds of privacy hypocrisies always reveal the real story.
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🏙️ A man decides to finally drone-map one of the wealthiest and most private cities in America — North Oaks, Minnesota, the only unmapped city left in the country. After he posts the footage, the city sends him a legal letter accusing him of invading their privacy and telling him never to return. He then discovers something that completely flips the script: the city has been using Flock surveillance cameras at every single entrance and exit, tracking every vehicle that comes and goes. This double standard launches him into a two-month deep dive into America’s massive surveillance system. In the end, he removes all his Street View images from Google Maps — except for one drone selfie of himself — and immediately re-uploads the rest to an open-source mapping platform. These kinds of privacy hypocrisies always reveal the real story.

End3of6Days9 (Helen) 🇺🇸

359,845 просмотров • 3 месяцев назад