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"Entire startups these days will be markdown files. Own your skills because if you don't, your job becomes a skill file." A super insightful talk by Garry Tan (YC President & CEO) at Startup School 202. Why we're entering the era of personal AGI. AI has changed something deeper... show more

Rohan Paul

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51,745 просмотров • 1 месяц назад •via X (Twitter)

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The boundary between a specification and a product is dissolving. A Markdown file can now behave like a small software service when an AI agent can read instructions, use tools, and act on schedule. "Do you know how many companies are at this event where their whole product could just be a Markdown file? It’s insane." - This at the AI Engineer World's Fair, YouTuber Theo Browne talking. A few days back, at Y Combinator CEO Garry Tan said the same thing: “Entire startups these days will be markdown files.” --- full video here from 'AI Engineer and Theo - t3․gg" YT channel (link in comment)

The boundary between a specification and a product is dissolving. A Markdown file can now behave like a small software service when an AI agent can read instructions, use tools, and act on schedule. "Do you know how many companies are at this event where their whole product could just be a Markdown file? It’s insane." - This at the AI Engineer World's Fair, YouTuber Theo Browne talking. A few days back, at Y Combinator CEO Garry Tan said the same thing: “Entire startups these days will be markdown files.” --- full video here from 'AI Engineer and Theo - t3․gg" YT channel (link in comment)

Rohan Paul

308,805 просмотров • 1 месяц назад

The next generation of startups will be built by smaller teams than ever before. At Startup School 2026, YC's Garry Tan explains why we're we're entering the era of personal AGI: AI agents that run on your own infrastructure, compound your knowledge over time, and dramatically increase your ability to build. He shares the tools and workflows he uses every day, why every founder should own their intelligence instead of renting it, and what it means to build under your own power. 00:07 — What Founders Can Learn From Spinoza 04:46 — Personal AGI Is Already Here 07:57 — Why AI Makes One Person More Powerful Than Ever 12:29 — Your Life Is a Library 15:15 — Inside My Personal AI System 17:06 — Markdown Is Code 18:20 — Latent Space vs. Deterministic Code 21:13 — Building a Company of One 24:16 — How to Build Your Own Personal AGI 27:58 — Why Most People Will Quit Too Soon 29:09 — Own Your Skills Before Someone Else Does 32:24 — Personal AGI Means Owning Your Intelligence 35:21 — Why I Open Sourced Everything 38:30 — A Personal AGI for One Small Boy 40:18 — It's All Made Up. You Get to Make It Up.

The next generation of startups will be built by smaller teams than ever before. At Startup School 2026, YC's Garry Tan explains why we're we're entering the era of personal AGI: AI agents that run on your own infrastructure, compound your knowledge over time, and dramatically increase your ability to build. He shares the tools and workflows he uses every day, why every founder should own their intelligence instead of renting it, and what it means to build under your own power. 00:07 — What Founders Can Learn From Spinoza 04:46 — Personal AGI Is Already Here 07:57 — Why AI Makes One Person More Powerful Than Ever 12:29 — Your Life Is a Library 15:15 — Inside My Personal AI System 17:06 — Markdown Is Code 18:20 — Latent Space vs. Deterministic Code 21:13 — Building a Company of One 24:16 — How to Build Your Own Personal AGI 27:58 — Why Most People Will Quit Too Soon 29:09 — Own Your Skills Before Someone Else Does 32:24 — Personal AGI Means Owning Your Intelligence 35:21 — Why I Open Sourced Everything 38:30 — A Personal AGI for One Small Boy 40:18 — It's All Made Up. You Get to Make It Up.

Y Combinator

218,308 просмотров • 1 месяц назад

Y Combinator CEO, Garry Tan, took the stage for 42 minutes at Startup School 2026 and explained how to build your own personal AGI better than any paid AI course. This is what he told the room: 1. The leverage is in your context, not the model. Tan watches hundreds of founders use identical models every batch. "There are 2x people and there are 100x people who are using the same Claude. Same weights, same context window size, same API. But the leverage is not in the weights." The gap between users is now bigger than the gap between models. 2. One person's output went up 400x. In 2013 Tan shipped maybe 14 useful lines of code a day as a YC partner, dead on the median for programmer productivity. "I did the math on my output, and I'm at about 400x what I did in 2013." 3. Agents run on a different working memory. Humans hold 7 things in their head at once. Every org chart and checklist ever built is a patch for that limit. "An AI agent holds a million tokens. That's about a thousand pages. Three Harry Potter books sitting open on its head all at once." You're still running your week on tools built for the 7-digit brain. 4. Markdown is code now. Tan's stack is mostly skill files: pages of plain English an agent can execute. "If you can write clear instructions in English, you're a programmer. The compiler is a language model." At YC, finance and events staff who never opened a terminal are building automations. 5. Your history is your moat. Tan's agent runs on a personal wiki: about 220,000 markdown pages covering 25 years of email, meetings, notes and decisions. "When my agent does anything, it does knowing everything I know. And that's the difference between an assistant and a colleague." No frontier model has your context. That's the one asset nobody can replicate. 6. Never do one-off work. Most people run a task with an agent, close the window and throw the learning away. Tan ends every task by having the agent turn what it did into a reusable skill file. "If you have to ask for something twice, you failed." Captured skills compound daily. Amnesia resets you to zero every morning. 7. Own your skill files before your employer does. A skill file is your judgment, extracted and executable. The only question is who controls it. "Own your skills because if you don't, your job becomes a skill file." Files in your repo compound your career. Files in the company's repo run your judgment without you. Watch it, then read the step-by-step guide on becoming an AI engineer.

Y Combinator CEO, Garry Tan, took the stage for 42 minutes at Startup School 2026 and explained how to build your own personal AGI better than any paid AI course. This is what he told the room: 1. The leverage is in your context, not the model. Tan watches hundreds of founders use identical models every batch. "There are 2x people and there are 100x people who are using the same Claude. Same weights, same context window size, same API. But the leverage is not in the weights." The gap between users is now bigger than the gap between models. 2. One person's output went up 400x. In 2013 Tan shipped maybe 14 useful lines of code a day as a YC partner, dead on the median for programmer productivity. "I did the math on my output, and I'm at about 400x what I did in 2013." 3. Agents run on a different working memory. Humans hold 7 things in their head at once. Every org chart and checklist ever built is a patch for that limit. "An AI agent holds a million tokens. That's about a thousand pages. Three Harry Potter books sitting open on its head all at once." You're still running your week on tools built for the 7-digit brain. 4. Markdown is code now. Tan's stack is mostly skill files: pages of plain English an agent can execute. "If you can write clear instructions in English, you're a programmer. The compiler is a language model." At YC, finance and events staff who never opened a terminal are building automations. 5. Your history is your moat. Tan's agent runs on a personal wiki: about 220,000 markdown pages covering 25 years of email, meetings, notes and decisions. "When my agent does anything, it does knowing everything I know. And that's the difference between an assistant and a colleague." No frontier model has your context. That's the one asset nobody can replicate. 6. Never do one-off work. Most people run a task with an agent, close the window and throw the learning away. Tan ends every task by having the agent turn what it did into a reusable skill file. "If you have to ask for something twice, you failed." Captured skills compound daily. Amnesia resets you to zero every morning. 7. Own your skill files before your employer does. A skill file is your judgment, extracted and executable. The only question is who controls it. "Own your skills because if you don't, your job becomes a skill file." Files in your repo compound your career. Files in the company's repo run your judgment without you. Watch it, then read the step-by-step guide on becoming an AI engineer.

Alex Prompter

250,080 просмотров • 1 месяц назад

Meta's chief AI officer says a swarm of agents out-produced a team of 100 engineers, and the machinery behind it is markdown files and cron jobs: "Like I think we've seen internally in Meta cases where if you can develop the right agentic loop and you have the right eval or the right metric for the agents to optimize, you can have a swarm of agents accomplish more than like a team of 100 engineers." "Very, very handily. Actually, very, very easily." "And so I think figuring out what the world looks like with lots of these agentic coordination problems, I think that is one of the most interesting problems today." "It just comes down to skills, markdown files, cron jobs." "I think it's always funny how mundane everything is once you really dig into it." If he is right, writing the metric now matters more than writing the code, and one judgment call about that metric stands in for 100 engineers' worth of output. Wang says Meta has already run this internally. - Alexandr Wang (Alexandr Wang), Chief AI Officer at Meta, with Garry Tan (Garry Tan) at Y Combinator (Y Combinator) Startup School 2026.

Meta's chief AI officer says a swarm of agents out-produced a team of 100 engineers, and the machinery behind it is markdown files and cron jobs: "Like I think we've seen internally in Meta cases where if you can develop the right agentic loop and you have the right eval or the right metric for the agents to optimize, you can have a swarm of agents accomplish more than like a team of 100 engineers." "Very, very handily. Actually, very, very easily." "And so I think figuring out what the world looks like with lots of these agentic coordination problems, I think that is one of the most interesting problems today." "It just comes down to skills, markdown files, cron jobs." "I think it's always funny how mundane everything is once you really dig into it." If he is right, writing the metric now matters more than writing the code, and one judgment call about that metric stands in for 100 engineers' worth of output. Wang says Meta has already run this internally. - Alexandr Wang (Alexandr Wang), Chief AI Officer at Meta, with Garry Tan (Garry Tan) at Y Combinator (Y Combinator) Startup School 2026.

Karl Mehta

26,779 просмотров • 1 месяц назад

Garry Tan says AI enables a single markdown file to act like an employee: "If you really want to tokenmax, you have to use something like Hermes Agent or OpenClaw... let me load a million tokens or 800,000 tokens into any given request." "For a CEO or a founder, it actually makes a lot of sense to do that, and you have to give yourself permission to tokenmax in that way. What you get is, you get to live in 2028 today." "You do some feat of strength, and then you turn it into a markdown file plus code plus tests that can be reused and put into a cron job." "A markdown file is an employee. It's an employee that will do the job perfectly every single time, and it'll do it as many times as you want." Garry Tan Anish Acharya

Garry Tan says AI enables a single markdown file to act like an employee: "If you really want to tokenmax, you have to use something like Hermes Agent or OpenClaw... let me load a million tokens or 800,000 tokens into any given request." "For a CEO or a founder, it actually makes a lot of sense to do that, and you have to give yourself permission to tokenmax in that way. What you get is, you get to live in 2028 today." "You do some feat of strength, and then you turn it into a markdown file plus code plus tests that can be reused and put into a cron job." "A markdown file is an employee. It's an employee that will do the job perfectly every single time, and it'll do it as many times as you want." Garry Tan Anish Acharya

a16z

134,553 просмотров • 1 месяц назад

"delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you." - Claude Code creator at Anthropic Boris Cherny ( Boris Cherny ) "For people who aren’t building agentic products but are using Claude Code, every 6 months, delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you. For Opus 5, we strongly recommend trying to delete all of these things because the model may no longer need the extensive instructions that were necessary for previous models." - at Y Combinator Startup School 2026. ---- From "Y Combinator" YouTube channel, (full video link in comment)

"delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you." - Claude Code creator at Anthropic Boris Cherny ( Boris Cherny ) "For people who aren’t building agentic products but are using Claude Code, every 6 months, delete your claude.md file, delete your skills, and delete your hooks. Then see what the model does. It might surprise you. For Opus 5, we strongly recommend trying to delete all of these things because the model may no longer need the extensive instructions that were necessary for previous models." - at Y Combinator Startup School 2026. ---- From "Y Combinator" YouTube channel, (full video link in comment)

Rohan Paul

447,204 просмотров • 27 дней назад

Garry Tan, President and CEO of Y Combinator, on what agentic software teams can do today: "you can go from zero to 15 mil ARR in about four months with like two or three people and like hundreds of agents, like, you know, a few hundred skill files." "building these agentic systems today I think that all you doing is you seeing where the bottlenecks are" "how do I just instruct the agent to create a piece of software or a markdown file that blows away that roadblock?"

Garry Tan, President and CEO of Y Combinator, on what agentic software teams can do today: "you can go from zero to 15 mil ARR in about four months with like two or three people and like hundreds of agents, like, you know, a few hundred skill files." "building these agentic systems today I think that all you doing is you seeing where the bottlenecks are" "how do I just instruct the agent to create a piece of software or a markdown file that blows away that roadblock?"

Guillermo Flor

111,778 просмотров • 1 месяц назад

Microsoft CEO Satya Nadella's new interivew: Explains how the next AI moat will not be the model you use, but the learning loop only your company can run. He is really asking what happens to the firm when intelligence becomes something you can rent. For a century, companies protected value through people, processes, data, routines, customer memory, and the tacit knowledge buried in daily operations. Foundation models threaten to flatten that advantage because the same general intelligence can be used by everyone. Nadella’s answer is that firms need their own “hill climbing machine,” a private loop where models learn from company-specific tasks, traces, evaluations, and outcomes. That means the real asset is not just the model. The asset is the environment that keeps improving the model in ways competitors cannot copy. Private evals become strategic memory. Workflow traces become training signal. Human judgment becomes a way to steer compounding, not just correct mistakes. This also reframes AI adoption: a company that only consumes a foundation model may gain productivity, but it may leak the deeper value of its operating knowledge. A company that builds a disciplined learning loop can turn everyday work into accumulating IP. The future firm may therefore be measured by how well it converts its unique activity into durable model improvement. The frontier will not belong only to whoever owns the largest model. It will belong to whoever owns the best loop. ---- From "Stanford Online" YouTube channel, (link in comment)

Microsoft CEO Satya Nadella's new interivew: Explains how the next AI moat will not be the model you use, but the learning loop only your company can run. He is really asking what happens to the firm when intelligence becomes something you can rent. For a century, companies protected value through people, processes, data, routines, customer memory, and the tacit knowledge buried in daily operations. Foundation models threaten to flatten that advantage because the same general intelligence can be used by everyone. Nadella’s answer is that firms need their own “hill climbing machine,” a private loop where models learn from company-specific tasks, traces, evaluations, and outcomes. That means the real asset is not just the model. The asset is the environment that keeps improving the model in ways competitors cannot copy. Private evals become strategic memory. Workflow traces become training signal. Human judgment becomes a way to steer compounding, not just correct mistakes. This also reframes AI adoption: a company that only consumes a foundation model may gain productivity, but it may leak the deeper value of its operating knowledge. A company that builds a disciplined learning loop can turn everyday work into accumulating IP. The future firm may therefore be measured by how well it converts its unique activity into durable model improvement. The frontier will not belong only to whoever owns the largest model. It will belong to whoever owns the best loop. ---- From "Stanford Online" YouTube channel, (link in comment)

Rohan Paul

93,885 просмотров • 20 дней назад

GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing. In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.

GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing. In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.

Y Combinator

925,584 просмотров • 5 месяцев назад

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Obsidian CEO actually released the skill that lets your AI agent run your entire vault for you. It's called obsidian-skills. Install it into Claude Code, Codex, or OpenCode, and your agent can read, create, search, and organize notes directly, plus handle Markdown, Bases, and Canvas files without you touching a thing. This is the missing piece for an AI second brain. Your notes live in Obsidian, and now the agent actually knows how to work them. Want the full picture? We broke down how to build a complete AI second brain from scratch in the article below.

Simplifying AI

68,025 просмотров • 1 месяц назад

Sam Altman on how AI token usage is growing at an exponential rate. "6 and a half years ago, the world token leader was an OpenAI employee using about 100,000 tokens a month. And this seemed ludicrous at the time. The worldwide average per capita was, like, zero. Now, the worldwide average of tokens per month, is like 100,000, and the token leader at OpenAI uses something in the hundreds of billions. If that happens again, which I think it probably will, then in another six and a half years, the average person uses, let’s say, 500 billion tokens a month, and the token leader uses a quadrillion or quadrillions of tokens a month. And I think that will just become the expectation." ---- He was at YC Startup School 2026, in conversation Garry Tan From "Y Combinator" YouTube channel, (full video link in comment)

Sam Altman on how AI token usage is growing at an exponential rate. "6 and a half years ago, the world token leader was an OpenAI employee using about 100,000 tokens a month. And this seemed ludicrous at the time. The worldwide average per capita was, like, zero. Now, the worldwide average of tokens per month, is like 100,000, and the token leader at OpenAI uses something in the hundreds of billions. If that happens again, which I think it probably will, then in another six and a half years, the average person uses, let’s say, 500 billion tokens a month, and the token leader uses a quadrillion or quadrillions of tokens a month. And I think that will just become the expectation." ---- He was at YC Startup School 2026, in conversation Garry Tan From "Y Combinator" YouTube channel, (full video link in comment)

Rohan Paul

65,366 просмотров • 1 месяц назад

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

Y Combinator

69,478 просмотров • 2 месяцев назад

Flexport CEO Ryan Petersen explains why your initial vision for your company is probably wrong When Ryan first applied to Y Combinator he wanted Flexport to be “TurboTax for customs.” But that vision changed a lot. As Ryan explains: “The more you learn and the more customers you talk to and the more vendors you talk to, the more you realize how screwed up the world is in this space. Then [the vision] actually gets bigger and bigger and keeps expanding.” Y Combinator CEO Garry Tan says this is a common pattern he sees in startups too: “There’s a misconception that you wake up from a haze and you’re like ‘This is it. This is the vision.” But the story is actually ‘Oh here’s this thing that I know I can solve.’ And then once you solve it and people really like it, it sort of expands and expands.” Ryan concludes: “If a founder is too certain of exactly what the vision is and what the product’s going to look like and how it’s all going to work, they’re probably wrong. The world is super messy.” Source: Garry Tan (Mar 2022)

Flexport CEO Ryan Petersen explains why your initial vision for your company is probably wrong When Ryan first applied to Y Combinator he wanted Flexport to be “TurboTax for customs.” But that vision changed a lot. As Ryan explains: “The more you learn and the more customers you talk to and the more vendors you talk to, the more you realize how screwed up the world is in this space. Then [the vision] actually gets bigger and bigger and keeps expanding.” Y Combinator CEO Garry Tan says this is a common pattern he sees in startups too: “There’s a misconception that you wake up from a haze and you’re like ‘This is it. This is the vision.” But the story is actually ‘Oh here’s this thing that I know I can solve.’ And then once you solve it and people really like it, it sort of expands and expands.” Ryan concludes: “If a founder is too certain of exactly what the vision is and what the product’s going to look like and how it’s all going to work, they’re probably wrong. The world is super messy.” Source: Garry Tan (Mar 2022)

Startup Archive

26,519 просмотров • 1 месяц назад

Sam Altman at G20 with U.S. Commerce Secretary Howard Lutnick. - 3 months of startup work can now take about 17 minutes - A country rejecting AI would be similar to a country rejecting electricity. "This (AI) is something that every person, every business, and really the entire machine of society is going to need to deliver the quality of life that your citizens should demand." - Kids growing up today may never be smarter than AI --- From "DRM News" YouTube channel, (full video link in comment)

Sam Altman at G20 with U.S. Commerce Secretary Howard Lutnick. - 3 months of startup work can now take about 17 minutes - A country rejecting AI would be similar to a country rejecting electricity. "This (AI) is something that every person, every business, and really the entire machine of society is going to need to deliver the quality of life that your citizens should demand." - Kids growing up today may never be smarter than AI --- From "DRM News" YouTube channel, (full video link in comment)

Rohan Paul

48,061 просмотров • 29 дней назад

Ex-OpenAI researcher Daniel Kokotajlo, one of the world's leading AI forecasters, warns superintelligent AI could reorder global power and eliminate nearly every job. "Everyone should be concerned that their job could be lost" "If AI does, become incredibly powerful, it will change the balance of power between nations. That will disrupt many things and put us at greater risk of crises in general. " ---- From "The Diary Of A CEO" YouTube channel, (full video link in comment)

Ex-OpenAI researcher Daniel Kokotajlo, one of the world's leading AI forecasters, warns superintelligent AI could reorder global power and eliminate nearly every job. "Everyone should be concerned that their job could be lost" "If AI does, become incredibly powerful, it will change the balance of power between nations. That will disrupt many things and put us at greater risk of crises in general. " ---- From "The Diary Of A CEO" YouTube channel, (full video link in comment)

Rohan Paul

32,781 просмотров • 2 месяцев назад

Send this to ANYONE on your team using AI agents with Claude/Codex skills: If I were you, I'd put your BEST AI skills in a GitHub repo, turn that repo into a PLUGIN, and have your team INSTALL it in Claude/Codex with auto update on. Why? 1. Everyone gets the same AI SOPs instead of 10 versions floating around Slack 2. When one person improves a skill, the whole team gets the better version. 3. New hires can start with your best workflows instead of a blank AI setup (this is a BIG deal). 4. If someone breaks a skill, you can roll it back with version control. 5. Personal skills can stay personal, while team skills become shared company infrastructure (and an asset!). 6. Your best AI processes stay with the company when someone leaves. 7. You can chain skills together for bigger workflows, like titles -> thumbnails -> descriptions -> YouTube publish. 8. You can track which skills are actually being used and delete the ones collecting dust. 9. You get less slop because the agent has real instructions, examples, taste, and process. 10. Your team moves from single-player AI to multiplayer AI. (thanks to AI with Remy | Learn AI for coming onto The Startup Ideas Podcast (SIP) 🧃) Watch full breakdown here (clearly explained): I don't know why I didn't do this before. The more I think about it, the more obvious it feels: your AI workflows should be version controlled company assets. It kinda feels like the difference between “we use AI” and “we actually operate with AI". Enjoy.

Send this to ANYONE on your team using AI agents with Claude/Codex skills: If I were you, I'd put your BEST AI skills in a GitHub repo, turn that repo into a PLUGIN, and have your team INSTALL it in Claude/Codex with auto update on. Why? 1. Everyone gets the same AI SOPs instead of 10 versions floating around Slack 2. When one person improves a skill, the whole team gets the better version. 3. New hires can start with your best workflows instead of a blank AI setup (this is a BIG deal). 4. If someone breaks a skill, you can roll it back with version control. 5. Personal skills can stay personal, while team skills become shared company infrastructure (and an asset!). 6. Your best AI processes stay with the company when someone leaves. 7. You can chain skills together for bigger workflows, like titles -> thumbnails -> descriptions -> YouTube publish. 8. You can track which skills are actually being used and delete the ones collecting dust. 9. You get less slop because the agent has real instructions, examples, taste, and process. 10. Your team moves from single-player AI to multiplayer AI. (thanks to AI with Remy | Learn AI for coming onto The Startup Ideas Podcast (SIP) 🧃) Watch full breakdown here (clearly explained): I don't know why I didn't do this before. The more I think about it, the more obvious it feels: your AI workflows should be version controlled company assets. It kinda feels like the difference between “we use AI” and “we actually operate with AI". Enjoy.

GREG ISENBERG

80,585 просмотров • 1 месяц назад

how to use Google's NEW open source Design.md + AI Skills to make your startup look like a $100 million company in 1 hour: 1. Design.md is an open source file from Google that captures the soul of a design. Typography, colors, spacing, all in one markdown file. You attach it to your prompt and your agent builds beautiful things every time. 2. Think of it this way. The HTML is the finished dish. The design.md is the recipe. The skills are the ingredients. Put them together and everything you build looks consistent and professional. 3. Don't create a design system from scratch. Find a brand you love. Linear, Stripe, Vercel, whatever resonates. Study it. Use ChatGPT or Claude to help you extract the design language into your own design.md file. 4. Build skills on top of your design.md. A landing page skill. A mobile app skill. A motion design skill. A slide deck skill. Each one references the same design.md so everything looks like it came from the same designer. 5. The biggest mistake people make: they nail one screen and then everything else looks generic. Design.md solves this. One file keeps every page, every format, every medium consistent. 6. Use it across everything. Your landing page. Your app. Your pitch deck. Your promo videos. Same DNA. Same taste. Same system. That's what separates a startup that looks real from one that looks vibe-coded. 7. Build a second brain for design inspiration. When you see something beautiful in the real world or online, capture it. Save it. When you're building something new, reference it. Taste is developed, not downloaded. 8. It's obvious but the difference between a product people trust and a product people bounce from is how it looks and feels. Design.md gives you that edge. you can watch below shoutout to Meng To for coming on The Startup Ideas Podcast (SIP) 🧃 and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this. watch

GREG ISENBERG

512,753 просмотров • 4 месяцев назад

Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly

Corporations that are purely AI and robotics will vastly outperform any corporations that have people in the loop You can think of it like how 'computer' used to be a job that humans had. You would go and get a job as a computer where you would do calculations. They had entire skyscrapers full of humans....20, 30 floors of humans...just doing calculations. Now, that entire skyscraper of humans doing calculations can be replaced by a laptop with a spreadsheet. That spreadsheet can do vastly more calculations than an entire building full of human computers So, you think about it: what if only some of the cells in your spreadsheet were calculated by humans? That would be much worse than if all of the cells in your spreadsheet were calculated by the computer. And so, really what will happen is the pure AI, pure robotics corporations or collectives will far outperform any corporations that have humans in the loop. It will happen very quickly

X Freeze

16,850,585 просмотров • 7 месяцев назад

YC CEO Garry Tan: “Moat is not a noun. It’s a verb” Popular belief says startups win because they have one big, game-changing insight. But Varun Mohan (Windsurf CEO) argues that’s a myth. “Every single insight we have is a depreciating insight.” In other words: the value of your insight declines fast. Competitors catch up. Markets shift. What was once novel becomes table stakes. He uses Nvidia as the example: Even at a trillion-dollar scale and 70% gross margins, they still have to innovate, or AMD catches up. The real advantage? Continuously generating new insights — and executing on them. “It’s not about the insight you had one year ago. It’s whether you can compound that advantage over and over again.” That’s why Varun tells his team: being wrong is fine, but being stagnant isn’t. You need to stay sharp, learn from the market, and compound your edge over time. Or as Garry Tan (YC CEO) puts it aptly: “A moat is not a noun. It’s a verb.” Video source: Y Combinator (2025)

YC CEO Garry Tan: “Moat is not a noun. It’s a verb” Popular belief says startups win because they have one big, game-changing insight. But Varun Mohan (Windsurf CEO) argues that’s a myth. “Every single insight we have is a depreciating insight.” In other words: the value of your insight declines fast. Competitors catch up. Markets shift. What was once novel becomes table stakes. He uses Nvidia as the example: Even at a trillion-dollar scale and 70% gross margins, they still have to innovate, or AMD catches up. The real advantage? Continuously generating new insights — and executing on them. “It’s not about the insight you had one year ago. It’s whether you can compound that advantage over and over again.” That’s why Varun tells his team: being wrong is fine, but being stagnant isn’t. You need to stay sharp, learn from the market, and compound your edge over time. Or as Garry Tan (YC CEO) puts it aptly: “A moat is not a noun. It’s a verb.” Video source: Y Combinator (2025)

Startup Archive

232,859 просмотров • 1 год назад

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."

The All-In Podcast

164,054 просмотров • 1 год назад