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meow, Co-Founder @voxlyink

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i'm about to spend $15,000 on the AP x Swatch collab called every friend i have across Europe. different countries. different boutiques. 15+ people ready to walk in on drop day. the math: expected retail: $300-$500 per watch limit: 1-2 watches per person 15 buyers = 15-30 watches total cost: $4,500-$15,000 expected resale: $1,500-$4,000 per watch MoonSwatch went from $260 retail to $4,090 on eBay in 2022. this drop is bigger. first time AP has ever lent the Royal Oak silhouette outside its own walls. total profit: $15,000-$100,000 here's how to check if your local boutique is getting stock: go to choose your country activate the Royal Pop filter if your store shows up, it's getting allocation. if it doesn't, don't waste your morning. the window is open. the runner network is the moat. most people will buy one watch for themselves. the ones who built the system walk out with thirty.

i'm about to spend $15,000 on the AP x Swatch collab called every friend i have across Europe. different countries. different boutiques. 15+ people ready to walk in on drop day. the math: expected retail: $300-$500 per watch limit: 1-2 watches per person 15 buyers = 15-30 watches total cost: $4,500-$15,000 expected resale: $1,500-$4,000 per watch MoonSwatch went from $260 retail to $4,090 on eBay in 2022. this drop is bigger. first time AP has ever lent the Royal Oak silhouette outside its own walls. total profit: $15,000-$100,000 here's how to check if your local boutique is getting stock: go to choose your country activate the Royal Pop filter if your store shows up, it's getting allocation. if it doesn't, don't waste your morning. the window is open. the runner network is the moat. most people will buy one watch for themselves. the ones who built the system walk out with thirty.

61,879 次观看

212,000 people stopped scrolling for a staircase. that's not luck. that's what happens when the visual is right. real estate has always sold on emotion. the problem was getting the visual in front of enough people. AI just solved that part. one scan. one video. organic reach to thousands of buyers. no agency. no crew. no $2,000 shoot. the full breakdown is in the article below.

212,000 people stopped scrolling for a staircase. that's not luck. that's what happens when the visual is right. real estate has always sold on emotion. the problem was getting the visual in front of enough people. AI just solved that part. one scan. one video. organic reach to thousands of buyers. no agency. no crew. no $2,000 shoot. the full breakdown is in the article below.

16,740 次观看

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Rockstar spent 7 years, 2,000+ developers, and $500 million to build Red Dead Redemption 2. Kimi K3 rebuilt the same scene in 10 hours. One prompt. 4 million tokens. It's open source. 2.8 trillion parameters. A 1 million token context window. It beats Claude Opus 4.8 and GPT-5.6. It sits on par with Fable 5. Fable 5 results, at Sonnet pricing. The wall between you and a AAA game used to be a studio. Now it's a prompt.

Rockstar spent 7 years, 2,000+ developers, and $500 million to build Red Dead Redemption 2. Kimi K3 rebuilt the same scene in 10 hours. One prompt. 4 million tokens. It's open source. 2.8 trillion parameters. A 1 million token context window. It beats Claude Opus 4.8 and GPT-5.6. It sits on par with Fable 5. Fable 5 results, at Sonnet pricing. The wall between you and a AAA game used to be a studio. Now it's a prompt.

99,083 次观看 • 12 天前

someone bought 100 stickers for $850 player announced retirement 3 days later sold them for $2,340 +$1,490 in 72 hours. from a game he barely plays CS2 has a $2.5B economy. most players get $0 from it because they don't know how the market works full breakdown in the article below:

someone bought 100 stickers for $850 player announced retirement 3 days later sold them for $2,340 +$1,490 in 72 hours. from a game he barely plays CS2 has a $2.5B economy. most players get $0 from it because they don't know how the market works full breakdown in the article below:

189,606 次观看 • 3 个月前

Karpathy: "I've never felt this much behind as a programmer. And I've been doing this for 20 years." I've watched hundreds of AI talks. This keynote from the man who built Tesla Autopilot and co-founded OpenAI is the one I wish every developer had seen before writing another line of code. He calls what's happening a "magnitude 9 earthquake." Here's the part nobody expected to hear: > in November he was 80% manual + 20% AI. by December: flipped to 80% AI + 20% manual > that shift took him 30 days > "2025-2035 is the decade of agents" > the rules of programming are changing faster than our habits Right now the average developer opens Claude, types something, gets an answer, closes the tab. they think they're using AI. they're using maybe 10% of it. I went through everything he described and built 21 rules that actually change how Claude codes for you. the file that started this hit #1 on GitHub with 82,000 stars. coding accuracy from 65% to 94%. bookmark this

Karpathy: "I've never felt this much behind as a programmer. And I've been doing this for 20 years." I've watched hundreds of AI talks. This keynote from the man who built Tesla Autopilot and co-founded OpenAI is the one I wish every developer had seen before writing another line of code. He calls what's happening a "magnitude 9 earthquake." Here's the part nobody expected to hear: > in November he was 80% manual + 20% AI. by December: flipped to 80% AI + 20% manual > that shift took him 30 days > "2025-2035 is the decade of agents" > the rules of programming are changing faster than our habits Right now the average developer opens Claude, types something, gets an answer, closes the tab. they think they're using AI. they're using maybe 10% of it. I went through everything he described and built 21 rules that actually change how Claude codes for you. the file that started this hit #1 on GitHub with 82,000 stars. coding accuracy from 65% to 94%. bookmark this

137,555 次观看 • 2 个月前

Anthropic just explained why their Claude agents dream I've read documentation that doesn't explain half of what they cover here memory architectures, learning between sessions, how agents stop repeating the same mistakes, how to verify what they learned all in one video and completely free based on this, I wrote down 21 rules you can paste into your project root today coding accuracy goes from 65% to 94% find it below

Anthropic just explained why their Claude agents dream I've read documentation that doesn't explain half of what they cover here memory architectures, learning between sessions, how agents stop repeating the same mistakes, how to verify what they learned all in one video and completely free based on this, I wrote down 21 rules you can paste into your project root today coding accuracy goes from 65% to 94% find it below

45,788 次观看 • 2 个月前

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

Boris Cherny, the engineer who built Claude Code: "I don't talk to an agent anymore. I talk to a loop" a prompt is one instruction you babysit. a loop is a goal the AI works toward on its own: > it plans > does the work > checks itself > fixes what's weak > and repeats until it's done you step out, the work keeps going that's the shift the best engineers quietly moved to. most people hear a line like that and have no idea what it means in practice this breaks it down without the hype: what a loop actually is, when it's worth building, when it's a money trap, and how to run one yourself today watch his clip, then read the article below

20,849 次观看 • 1 个月前

Jensen Huang: "Nvidia runs 7,500,000 agents for 75,000 people." that's 100 AI workers for every human employee. he goes further than that. "for the very first time, we have useful AI." not AI that answers questions. AI that does the work. and he's not talking about people who occasionally prompt ChatGPT. he means people who actually run agents in parallel. most people don't know you can already do this. one button. one prompt. up to 300 agents working at the same time. it's called Kimi Agent Swarm. 100 CVs tailored to 100 job descriptions. one prompt. 40 research papers into a 100,000-word review. one prompt. 30 landing pages for 30 businesses. one prompt. $40,000-$100,000 worth of work. one sitting. full breakdown in the article below.

Jensen Huang: "Nvidia runs 7,500,000 agents for 75,000 people." that's 100 AI workers for every human employee. he goes further than that. "for the very first time, we have useful AI." not AI that answers questions. AI that does the work. and he's not talking about people who occasionally prompt ChatGPT. he means people who actually run agents in parallel. most people don't know you can already do this. one button. one prompt. up to 300 agents working at the same time. it's called Kimi Agent Swarm. 100 CVs tailored to 100 job descriptions. one prompt. 40 research papers into a 100,000-word review. one prompt. 30 landing pages for 30 businesses. one prompt. $40,000-$100,000 worth of work. one sitting. full breakdown in the article below.

11,924 次观看 • 2 个月前

Microsoft spent $13 billion and 3 years building an AI that knows your work context. Every time you open it, it still asks what you're working on. This developer set up a plain text file in 2 minutes. The file is called CLAUDE.md. It loads before every session. Before he types a single word. It already knows his name. It already knows his writing style. It already knows what he's building, who it's for, and what he never wants to see in a response. He doesn't introduce himself anymore. He doesn't explain his preferences anymore. He doesn't correct the same mistakes twice. He just works. No $30/month Copilot subscription. No Microsoft 365. No IT approval. No data sharing agreement. No onboarding. Just a plain text file, a free text editor, and 21 instructions a developer distilled from Andrej Karpathy's research. Those 21 instructions moved Claude's coding accuracy from 65% to 94%. The file hit #1 on GitHub with 82,000 stars. Most people using Claude right now have never heard of it. Microsoft has 221,000 employees, $13 billion invested in OpenAI, and a direct integration into every Windows laptop sold on the planet.. they built an AI assistant most companies pay $30/user/month for that still doesn't know your name. This developer has a laptop, a text file and a 2-minute setup.. he built something that knows more about how he works than any enterprise AI on the market. The $50 billion AI personalization industry just got embarrassed by a .md file. full breakdown down below

Microsoft spent $13 billion and 3 years building an AI that knows your work context. Every time you open it, it still asks what you're working on. This developer set up a plain text file in 2 minutes. The file is called CLAUDE.md. It loads before every session. Before he types a single word. It already knows his name. It already knows his writing style. It already knows what he's building, who it's for, and what he never wants to see in a response. He doesn't introduce himself anymore. He doesn't explain his preferences anymore. He doesn't correct the same mistakes twice. He just works. No $30/month Copilot subscription. No Microsoft 365. No IT approval. No data sharing agreement. No onboarding. Just a plain text file, a free text editor, and 21 instructions a developer distilled from Andrej Karpathy's research. Those 21 instructions moved Claude's coding accuracy from 65% to 94%. The file hit #1 on GitHub with 82,000 stars. Most people using Claude right now have never heard of it. Microsoft has 221,000 employees, $13 billion invested in OpenAI, and a direct integration into every Windows laptop sold on the planet.. they built an AI assistant most companies pay $30/user/month for that still doesn't know your name. This developer has a laptop, a text file and a 2-minute setup.. he built something that knows more about how he works than any enterprise AI on the market. The $50 billion AI personalization industry just got embarrassed by a .md file. full breakdown down below

14,117 次观看 • 2 个月前

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