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GREG ISENBERG

@gregisenberg664,891 subscribers

I drop startup ideas daily. Host @startupideaspod. CEO: @latecheckoutplz we build companies like @ideabrowser, @meetLCA, @boringmarketer etc

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yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

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I think I've stumbled onto the future of building startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factory

I think I've stumbled onto the future of building startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factory

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ghiblified the pod

ghiblified the pod

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Videos

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I sat down with Howie Liu, the CEO of Airtable ($500M+ revenue, 1 billion in the bank) and asked him: is there really 1 trillion up for grabs in AI agents? His answer: it's way more than that. It's the entire GDP of white collar labor. Tens of trillions. Here's what stood out: 1. Howie runs 30 Claude Code instances in parallel on HyperAgent. Each one is coupled to a browser, fully autonomous. They review each other's PRs. That's how the CEO of a $10 billion company develops software right now. 2. He wrote his most recent board memo with AI agents. His best investors told him it was the best memo he'd ever written. It cost him $150 in tokens and 10x less time. 3. His take on why people aren't building: they're still using agents like chatbots. They ask "who's going to win the next election" instead of giving it a real multi-hour task. Using is believing. You have to spend a full weekend going deep. 4. AI agents are at less than 10% penetration in most industries. Software engineering is at 50% but even that's an overestimate because most devs are still in "tab autocomplete" mode. The frontier has moved way past that. 5. He revealed HyperAgent. Think of it as the visual agent builder that gives you a low floor and a high ceiling. You can prototype fast and also scale to running serious operations with a fleet of agents. 6. Howie's philosophy/POV: HyperAgent is to agents what the iPhone was to computing. The power was already there. The accessibility is what changes everything. Good news Howie is giving $1,000 in free HyperAgent credits to the first 1,000 people who sign up. $1 million committed to listeners The Startup Ideas Podcast (SIP) 🧃. You get Opus, frontier models, real agent workflows. You just gotta click the link in the description of the YT vid (share this with a friend to give them the $1000 too before it runs out!) episode is live on The Startup Ideas Podcast (SIP) 🧃 and thanks to Howie for supporting the community/channel. Howie Liu is rooting for you to build a $100 million company with less than 5 employees. So am I. watch

GREG ISENBERG

39,207,022 Aufrufe • vor 1 Monat

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There's probably $100+ billion up for grabs for people who build startup for AI agents Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. TLDR; The internet was built for people: 1. Search google 2. Read landing page 3. Book demo 4. Talk to sales 5. Buy Agents don’t do that. Agents will: 1. Ask which product to use 2. Read your docs/pricing/security pages 3. Compare you to competitors 4. Check if you have an MCP/API/tool layer 5. Buy or recommend you without ever “visiting” your site like a person Everyone is going to have personal agents and business agents. This feels inevitable at this point. OpenClaw, Hermes, Claude Code, Codex, Google Spark. The tools are here. Which means there will be more agents on the internet than humans. So, where's the opportunity?? Go look at every SaaS tool you use. Notion. Slack. Jira. Google Analytics. Now ask: what is the version of this built purely for agents? Agent-native payments. Agent-native communication. Agent-native memory. Every category gets rebuilt. I clearly break down this shift and explain you everything on today's ep of The Startup Ideas Podcast (SIP) 🧃. Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. The founders who build for them now are going to look like the people who built websites in 1995. Might feel janky at the moment, but also obvious in hindsight. This is the next shift. Link over here: Watch

GREG ISENBERG

40,709 Aufrufe • vor 1 Tag

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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

490,744 Aufrufe • vor 28 Tagen

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This is one of the best videos to ever exist for entrepreneurs, creators... I think about it often. In 2016, Pharrell Williams visited a NYU music production class to critique student songs. At the beginning you could see student "Maggie Rogers" drenched with the absolute terror of sharing this with him. Pharrell is there just trying to keep his excitement in. The guy couldn’t wait to tell her this song is the bee’s knees. After he listened to a song called “Alaska”, he explained why “I have zero, zero, zero notes for that:” 24 hours later, someone posted the clip to Reddit. It blew up and the rest is history. Grammy nominated, millions of followers etc. And Maggie responded to the Reddit thread (i'll share screenshot in the next tweet). This story I find so cool because it inspires other artists to share what they got. We all can all connect with the fear of showing our work. It ain't easy. And to have a unique POV like Maggie. Easy to copy, harder to have something unique. I’ve got a bunch of designs, creations that have never seen the light of day. This video inspires me to publish more. My point of sharing this video: Publish your art anonymously. Or publish your art proudly as yourself. Bonus points if it's one of a kind work. But publish your darn art. This is your new week's energy. This is your 2024 energy. Go get 'em. -- If you enjoyed this, go listen to some Maggie Rogers. And thank you to Pharrell for being so supportive to an up and comer. And go follow me for more stories like this GREG ISENBERG, so you get more of it in your feed I share stories about internet communities, free startup ideas and more. (link in bio for more info about me)

GREG ISENBERG

20,153,435 Aufrufe • vor 2 Jahren

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how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

GREG ISENBERG

609,197 Aufrufe • vor 1 Monat

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how to use obsidian + claude code to build a 24/7 personal operating system and build your startup: 1. write everything in markdown (daily notes, projects, beliefs, people, meetings) 2. link your notes together so they mirror how your brain actually thinks. 3. install obsidian cli so claude code can read your entire vault + the relationships. 4. stop reexplaining projects every session. use reference files instead. 5. build custom slash commands: /context → load your full life + work state /trace → see how an idea evolved over months /connect → bridge two domains you’ve been circling /ideas → generate startup ideas from your vault /graduate → promote daily thoughts into real assets 6. keep a strict rule: human writes the vault. agents read it, suggest, execute. 7. let claude aka clode surface patterns you’ve been unconsciously circling for years. 8. delegate from inside your notes. one sentence in obsidian → agent handles the rest. 9. treat writing as leverage.the more you write, the more context your agents have. 10. understand this:markdown files are the oxygen of llms. i really enjoyed seeing how to use obsidian thanks to internetVin vin uses ai like a thinking partner wired into his life’s work. 99.99% of people won’t do this because it requires reflection + setup. but once the vault exists, the agent stops being generic. it starts thinking in your voice. episode is live on The Startup Ideas Podcast (SIP) 🧃 (more there) this one is different. send this tweet to a friend. im still processing how game changer obsidian + claude code is, maybe you too watch

GREG ISENBERG

1,122,402 Aufrufe • vor 3 Monaten

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I met the guy behind Paperclip. he won't show his face, but he just built one of the FASTEST growing open-source projects in AI. how to use Paperclip to hire AI agents to ACTUALLY run a startup with 0 employees: 1. with paperclip, you hire a team of AI agents like CEO, engineer, QA, video editor, content strategist and manage them from one dashboard. it works with Claude Code, Codex, OpenCode, or any model on OpenRouter. you're not locked into one provider. 2. your AI agents wake up capable but with zero memory. they don't know who they are, where they are, or what they're supposed to be doing. kinda like that movie memento from back in the day you need to leave them Polaroids like heartbeat checklists, persona prompts, written context. that's how you keep them on track. 3. when an agent makes a mistake, you don't rewrite everything. you add one rule to their persona prompt. "always define a success condition for every task." "always pass work to QA before closing." you're training them like you'd train a junior hire. one correction at a time. 4. skills extend what your agents can do. want a video editor who can produce animated content? install the Remotion skill. want security reviews? there's a skill for that. 5. the biggest lever for quality is encoding your own taste. AI can do everything except know your values. design sensibility, brand voice, success criteria but you have to write it down. 6. don't one-shot your startup. agentic design patterns matter. the simplest one: after the engineer builds something, QA reviews it. structure prevents compounding errors. one-shotting an entire app is fun for 30 minutes, then it falls apart. 7. Paperclip tracks every token spent and every task completed. you can use your existing subscriptions (Claude, Codex) so spend shows as $0, or hook into API credits for real dollar tracking. 8. importable companies are coming. Gary Tan's G-Stack, a full game studio, 300+ agent repos... you can "acqui-hire" a proven agent team into your Paperclip instance instead of building from scratch. the future is downloading a tested org that actually works. 9. routines let you automate recurring work. "every day at 10am, read what was merged into the main branch and write a Discord update celebrating community contributors." it runs, you review, you improve. every task is traceable. 10. maximizer mode is next. you tell the CEO "build this game" and it does whatever it takes and hires who it needs, keeps pressing until it's done. no token anxiety. just outcomes. use Idea Browser for startup ideas/trends to get started thank you for dotta 📎 for doing this podcast and breaking down exactly how people can hire ai agent teams with paperclip you won't find an episode like this anywhere else episode is live on The Startup Ideas Podcast (SIP) 🧃 on your fav platforms (follow for more) is this not the greatest time in history to be building? im rooting for you now go watch my frien

GREG ISENBERG

456,482 Aufrufe • vor 2 Monaten

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AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on The Startup Ideas Podcast (SIP) 🧃 was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all free. no advertisers. i just want to see you build cool stuff. im rooting for you. send to a friend watch

GREG ISENBERG

374,437 Aufrufe • vor 2 Monaten

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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 Aufrufe • vor 1 Monat