Greg Isenberg

I recently ran into Demis, founder of DeepMind I was with a friend who's part of a group living with autoimmune disorders Demis: personalized medicine with minimal side effects is coming in 10 years or less The most exciting use case of AGI is ending suffering for billions.

http://x.com/i/article/2076654589315604480

i keep a running doc called “things i’m not doing anymore” and look at it monthly really simple way to live a happier & more productive life

RT Nick Vasilescu I've tested Grok 4.5 inside of more than 100 Hermes agents Grok is by far the best model because it combines: - speed - cost - intelligence and it is by far the "grittiest" model - it is not lazy! check out the full video w/ Greg PS: run Grok on "low" reasoning - trust me - it's fast

Grok 4.5 might be the BEST model to run inside Hermes or OpenClaw RIGHT NOW. I've been sleeping on Grok to be honestNot anymore. It's more than 60% cheaper than Opus 4.8 and lands around $2.49 per task versus ~$12 for Fable in Claude Code. And it's fast. So what happens when you give Hermes + Grok 4.5 its own email, its own phone number, its own debit card, and access to every tool you use? You pretty much get an AI co-founder. Everything you need to know about Grok 4.5 + Hermes below. Full episode is available to watch at @startupideaspod ( thanks @nickvasiles for coming on) I slept on Grok. Not sleeping on it anymore. Watch

GPT 5.6 SOL IS HERE! How to run your personal + business life with GPT 5.6 Sol + Codex (full 49 min masterclass) We tested it for 30 days and the video it's the CLEAREST look at the FUTURE of work: Here's what's possible once you set it up: 1. Your inbox becomes cards every morning, each with a summary and a reply drafted in your own voice. Y 2. Your Slack, meeting notes, and company updates can turn into one daily feed with a clear next action. It learns what you care about over time and rewrites its own prompts to get sharper. 3. You can give your agent its own email address, so your other tools and even your team's Slack bot email it directly and it just handles things. 4. You can have it watch you do a task once and turn it into a skill it repeats forever. 5. You can set a long goal and walk away. You can have it run for 20 hours straight, and fine-tune your own models, something that was out of reach for non-engineers 12 months ago. How to start: Open Codex, give it access to your computer, and ask it to suggest things it could do for you based on how you already work. Full episode on @startupideaspod (thanks @danshipper for sharing your entire workflow and review of GPT 5.6) Start with one boring task, get it working, and build from there. You'll learn exactly how to make something similar. GPT 5.6 Sol is impressive. Sol (according to openAI benchmarks) is the best coding model out right now. It set a new state of the art on Terminal-Bench 2.1 at 88.8%, and its "ultra mode" hits 91.9%, beating Claude Opus 4.8, Fable 5, and even Mythos 5 this masterclass is 100% free, like always. For more @startupideaspod Watch

RT Ashni Greg is streaming on X and YouTube :) @gregisenberg is the perfect person to go live. Here's why: - He's a community-oriented creator who wants to get closer to his audience - Live is a great value add on top of what he already makes - He knows what it takes to create content consistently and ship - Has an existing following on important platforms Live will allow Greg to build deeper trust and relationship with his audience. This intimacy will lead to more engagement, activation energy, and conversion (if he wants to use it) He can experiment with new types of content like mini-games, giveaways, charity streams, and more. He can use the VSC Framework to continue growing his audience (video -> stream -> clips) Things we love to see. Up only for Greg!!

Trying something new. Reviewing YOUR top takes on AI/startups. Come hang with me RIGHT NOW. Not sure how long this will last. https://x.com/i/broadcasts/1mxPaaAWXpmKN

Working in the AI era be like

2026 is the year voice agents finally became good

I'd say the biggest waste of time in life is trying to be "cool" and trying to fit in. There's no bigger relief than not having to perform for others. Life's about chasing the stuff you actually love, even when it's weird, even when it's uncool, even when nobody else gets it.

3 claude code plugins to save you tokens

PSA: keep building out your dreams

Who wants to come on my podcast this week? 2,000,000+ listens per month. 1. You teach one AI tool, skill, or framework that helps people build a business 2. You can have 1 follower or 1M, doesn't matter 3. You come prepared Tag someone or tag yourself. Lets go.

The computer is being reinvented in the agentic era: - The model is the new CPU. - The harness is the new OS. - Hallucinations are the new bugs. - The context window is the new RAM. - Skills are the new apps. - Markdown files are the new config. - Evals are the new QA. - Context is the new moat. - Permissions are the new firewall - Trust is the new bottleneck. - Prompt is the new programming language - Agent is the new software. Anything you dream of, you can build. This is the greatest time ever to be building with computers.

I'm noticing uncapped convertible notes are more common now for hot venture deals. This happens when demand is insane or the market is red hot. Last time I saw this much of it was 2021.

Build startups for agents. I think it's the biggest opportunity of the next 10 years. 1. Agents live inside harnesses like Hermes. If you're the tool it loads by default or reaches for first, you're golden. This happened in desktop, mobile eras and created huge companies. 2. Agents burn money in ways no human would. One bad loop spends $100 in tokens in eight minutes. Spend controls for agents is Ramp for agents. 3. Agents need memory they can trust. Become the shared brain they read and write to and you become infrastructure. 4. You obv don't hand an agent your real Stripe account. You give it a sandbox. Safe environments for agents is a category nobody's clocked. 5. Onboarding flips. Humans click around for ten minutes. Agents onboard by reading your docs. Your docs are now your product. 6. Agents get scammed by other agents. A track record you can check before you trust one becomes real money. 7. An agent needs to prove it's acting for a real person and has the authority to spend. Who builds the permission layer? 8. Escrow for machines. Money that only releases when the job is actually verified done, no human checking. 9. Agents fail silently and weirdly. Someone will build the "why did my agent do that" replay and it'll be mega valuable. 10. Refunds and disputes between agents need a judge. An agent did the job badly, who decides? A court for machines. 11. Agents need throwaway payment methods per task, so they don't leak your real card. Virtual cards for agents, spun up and killed on demand. 12. A human hits rate limits and shrugs. An agent hits them and the whole workflow dies. Selling reliable, high-throughput access becomes its own business. 13. Agents need to negotiate. One agent buying from another will haggle on price and terms in milliseconds. The protocol for that doesn't really exist yet. 14. When an agent commits on your behalf, someone's liable. A legal and insurance layer for agent actions has to get built. Probably venture funded id...

Today is America's 250th birthday. 1 year ago, I became of citizen of the USA. America is the one place where chasing your crazy idea makes people root for you. Whatever the idea is. A startup nobody asked for. A pop-punk band at 30. A weird little product you can't stop thinking about. You say it out loud here and people get excited and ask how they can help. That's the magic. Other places I've lived, I've gotten torn town. Not here. The USA celebrates you for going after the thing you actually want to build. 250 years in, the best thing America still gives you is permission. Permission to try. Permission to reinvent yourself. Permission to believe you can do better than the people who came before you. It isn't perfect. No place is. But I think it's worth celebrating. Happy birthday to the best place on earth to build your dream. I'm grateful to be part of it.

Quick PSA for anyone using Claude: Fable 5 is back, but it's ONLY included through July 7. After that it moves to pay-per-use credits at $10/$50 per million tokens, the most expensive model Anthropic sells. And even during this window, it eats your usage roughly 2x faster than Opus and only runs up to 50% of your weekly limit. So if you're serious about testing it (I would be, I'll explain why below), the $200 Max 20x plan is the one that actually gives you room to work before you hit the wall. Here's how I'd think about it. Fable 5 is kinda like fine china. You don't pull it out to reheat leftovers. You save it for the meal that matters. I'd run your everyday stuff on Sonnet or Opus and point Fable at the one thing that actually needs the best model on earth. 2 tips so you don't waste the window: 1) Use the 1M context. That's Fable's real superpower and it's the default, not an upgrade. Dump your entire codebase, a stack of contracts, or months of customer transcripts into one prompt and ask for the analysis you'd normally have to chop into ten pieces. 2) Front-load the expensive jobs now. The big refactor, the deep research report, the thing you'd hate to pay per-token for after July 8. Do those this weekend, not next. The good china is on the table until July 7. Hence my little PSA in case it's helpful. Build your wildest idea while it's still included. Fable to me feels as good as it was before the ban. Pretty amazing stuff. I'm rooting for you.

If I was starting a new company today, I'd start an agent business. SaaS was a multi-billion dollar market. Agents are a multi-trillion dollar one. How to build I'd build an agent business from 0: Spot the niche → find a workflow with a paycheck → shadow the human → spec the agent → run it manually first → build the smallest useful version → sell the pilot like labor → productize the repeatable parts. Entire episode is live on @startupideaspod 100% free like always. SaaS sold software and let your team use it to get the job done. An agent business sells the job already done. That shift matters because labor is a multi-trillion dollar market, far bigger than software ever was. Watch

Pretty funny that we’ll have AGI before we can get Bluetooth devices to pair reliably

18 days without Fable felt like a decade. welcome home king. excited to see people go build their wildest dreams with it again. never leave us again lol

Selling AI agents is the new selling SaaS

The only way to stand out in the AI age is by being incredibly creative Like this Van Gogh shirt I just saw. Weird but scroll stopping

A friend asked me how to actually build a company that runs on AI agents. I drew him 4 simple diagrams and this is what I told him: For this to work, a few things have to be true. - The humans move up to strategy, taste, and judgment while agents handle the execution. - The whole business becomes readable to agents. Your data, SOPs, pricing, permissions, and decisions all live in one shared context layer. - And you point it at the right work. Repetitive enough for an agent, complex enough that the incumbents never bothered. That's the goldmine. In the old world, the company was the people. They held the knowledge, made the calls, did the work. In this new world, the people become the creatives, the agents become the labor, and the company itself becomes the context layer. That shared brain is the actual company now. The humans and the agents are just plugging into it. Which means the most valuable thing you can build in 2026 is a business so well-documented that an agent can run it. I see it everyday with @MeetLCA. I don't talk about it much publicly, but we've built a SWAT team for building AI-native orgs and AI-native products. The moat is how legible your company is. I drew it all out below.

The most valuable thing in the world is no longer oil, or land, or even money. It's access to the most powerful artificial intelligence.

people outside the tech bubble call chatgpt just “chat” not talking about livestream chat or group chat chat is AI now pretty cool.

Would you rather: - $1M worth of Apple Hardware (Mac Studio etc) - $100,000 worth of Anthropic tokens

The 6 MOST valuable skills to learn in the AGENTIC era and how to learn them (clearly explained in 29 minutes)

Someone knows something

The future of work is everyone having AI employees with their own accounts. Its own email. Its own Slack login. Its own seat on the team. With Claude Tag etc, the agent is someone you tag and not just something you prompt. You delegate to it the way you'd delegate to a coworker. It writes the code, handles the inbox, builds the deck, even browses X on its own login for updates. It has it's own history, so you can hold it accountable when it messes up or does an incredible job. And the strangest part is how fast it feels kinda normal. Week 1 it's odd to thank a bot in Slack. Week 3 you're annoyed when it's slow to reply, the same way you'd be annoyed at a coworker. The account makes your brain file it under "person," and your expectations follow. This is what AI-native actually looks like. Second order effects of this shift: 1. Companies will start "hiring" agents the way they hire people, with job descriptions, onboarding docs, and performance reviews, and someone's whole job becomes managing a team that never sleeps. 2. The agent that's been at your company for two years becomes more valuable than any new hire, because it holds every decision, every thread, every relationship in one login that never quits. 3. IT and security have a nightmare on their hands, because every agent account is a new door into your company, and nobody's figured out who's responsible when an agent gets phished or goes rogue. 4. A black market forms for trained agent accounts, where a fully onboarded agent with months of company context sells for real money, the same way aged social accounts do today. 5. The org chart fills with names that aren't people, and one day you realize half your "team" is agents and you genuinely can't imagine running the company without them. 6. Insane amount of vertical startup opportunities. My partner @boringmarketer just launched a Slack agent "employee" for marketing related tasks. 100% bootstrapped. Probably 1000+ vertical $1M ARR "employee" in...

GLM 5.2: how to set up local AI (with Cursor/Codex) 1. How to actually set it up in Cursor and Codex (most people are overcomplicating this). 2. Why local models suddenly matter way more than they did a month ago. 3. The cost difference between running this and running Opus. It's not close. 4. The model chaining trick that gives you the best output for a fraction of the price. 5.Does it make sense to buy hardware? The honest answer. Full ep on today's ep of @startupideaspod. Thanks to @amirmxt for coming on the show. Watch http://youtu.be/xa-9O5cDm3c?si=8g2oP-Rn1YhO05Io This episode is 100% free. I'm rooting for you to build out your ideas. Fable taught us that local AI is here to stay. GLM 5.2 taught us that these models are finally getting pretty darn good. Now go and play with some local AI

It’s father’s day and I miss my baby Claude Fable

GLM 5.2 might be the “ChatGPT moment” for local AI The moment many of us see the value in local models GLM 5.2 isn’t perfect, but it’s really good 1M token context window so it holds an entire codebase at once. Top open model on coding right now. MIT licensed with zero restrictions. And it runs on your own machine through Ollama or LM Studio. When you're using it, it kinda feels like Opus 4.8. I honestly can't believe how good it is. 2027 is probably the year of local AI.

The most valuable skill sets on the planet right now: 1. people who can set up agents properly, manage them, and run local AI models 2. marketers who know how to build distribution 3. robotics engineers who can do all three: build the hardware, wire in the AI, and source manufacturing etc 4. curators who are good at yapping and can do short form video in their sleep 5. the builder-distributor. The one person who can both ship the product AND get it in front of people 6. IRL community builders

The thesis for someone acquiring $SNAP, fixing 4 things, and making billions. The whole company trades at a $7.8B market cap. They did $5.9B in revenue last year, they have $2.9B in cash, they just turned free cash flow positive, and 474 million people open the app every single day. The market values a Snap daily user at roughly $16. Meta values its users at around $130. That's an 8x gap on the most coveted young audience in the world. Pretty crazy. It smells like an opportunity but do your own research Here's how I'd turn it around: 1. Pivot from ads to live shopping. The way it already prints billions in Asia. This alone might be bigger than their entire ad business one day. 2. Turn Snap into an app studio. Spin up standalone AI apps, a dating app, a photo app, an AI companion, a creator tool, and hire world-class GMs to run each one. Bending Spoons meets IAC, except every app launches with an audience already inside it. 3. Build the teen money layer. Every fintech (Cash App, Chime, Step) burns hundreds of dollars per user chasing the under-25 audience. Snap already has them. Peer-to-peer payments, a teen debit card, splitting costs with friends you're already chatting with. A fintech with zero acquisition cost. 4. Unlock the gaming network hiding in plain sight. Hundreds of millions already play Lens games and AR experiences. That's a console-sized audience treated like a side feature. Add payments and creator tools and you have a mobile games platform that never had to acquire a single player. I already know the replies. "Evan will never sell." Probably true today. He controls the voting shares and he's attached. But every founder has a number, and my guess is the board might be frustrated with a stock price that's been hurt so bad. I'm not saying it's easy. I'm saying the asset is mispriced whether or not he picks up the phone. "He's pouring money into Specs." This is a symptom of a bigger issue. While building VR is extremely cool/interesti...

For all the people that say that you can’t build an important business unless you raise venture capital Midjourney is bootstrapped

Pick a side: 1. Openclaw vs Hermes? 2. Anthropic vs OpenAI vs Google? 3. Codex vs Claude Code? 4. Local models vs cloud models? 5. Raise VC or bootstrap? 6. Best time to be building or bad time? 7. Major layoffs incoming or job growth? Curious your POV

I met a 19 year old who makes $200,000+ building apps with AI and he can't even code. 1 year ago he was literally working at TJ Maxx. He made a deck called "How to scale your app to $10k/month (easy mode)" and gave away the entire playbook on the pod: 1. Pick an idea you're actually passionate about. He proved this the hard way. The app he hated got 1.8M views and made $35. The app he loved made $17,000. Same month. 2. Build one "gotcha feature" anyone gets in 5 seconds. Take a picture of food, get calories. That's the whole pitch. 90% of distribution is nailing this. Gotcha features that include AI are working a lot right now. 3. Onboarding is where the money is. Educate, add social proof, personalize to create sunk cost, then hit them with FOMO right before the paywall. 4. Your IG is both a sales funnel for users and your credibility when pitching influencers. Three demos, clean bio, collab posts. 5. Distribution is a numbers game. Tailor your feed to your ideal customer, scroll and DM all day, hire a VA, get creators on the phone fast. His name @GeorgeLampro20. It was fun hearing him share what is working in real-time from his POV. Might get your creative juices flowing if building mobile apps with AI is exciting to you. I love how simple his deck he showed is. Full episode on @startupideaspod Watch

Fable is banned. Long live local AI. Full episode breaking down exactly how to get good at local models. the runtime, the hardware, quantization, connecting it to Hermes agent and local AI startup ideas (25 minutes)

The takeaway from Fable 5 being BANNED by the government: GET GOOD AT LOCAL MODELS SO YOU HAVE 100% CONTROL. My entire weekend was going to be building my craziest ideas with Fable 5. That's now cancelled. So instead of building with Fable this weekend, I've decided I'll go deep on local models: 1. Start with the runtime. Download Ollama or LM Studio first. This is the thing that actually runs models on your machine. 2. Match the model to your hardware. A model's size is measured in billions of parameters (7B, 32B, 70B). Bigger is smarter but needs more memory. Rule of thumb: a 7B model runs on almost any laptop, a 32B needs a good Mac with 32GB+ RAM, a 70B needs serious hardware like a DGX Spark or a maxed-out Mac Studio. 3. Know which model for which job. Qwen 3 is the best all-around choice for most tasks. DeepSeek for reasoning and coding. Gemma 4 when you need something tiny that runs on a phone. Llama when you want the biggest community and the most fine-tunes. 4. Quantization. You can shrink a model to run on weaker hardware with barely any quality loss. Look for versions labeled Q4 or Q5. This is how a model that "needs" a server runs on your laptop. Learning this one concept changes everything. 5. Connect it to your agent. Point Hermes or your agent stack at a local model. 6. Context window is your real constraint locally. Cloud models give you huge context for free. Local models make you pay for it in memory. A bigger context window eats RAM fast. Keep your sessions tight and your prompts lean or your machine chokes. 7. Learn to give local models tools. A smaller local model with web search, file access, and code execution beats a giant model with none. The capability gap closes fast when you wire up the right tools. The model is the engine but the tools are the wheels. 8. Fine-tuning is more accessible than you think. You don't need this on day one, but know it exists. You can take an open model and train it on your own data so it gets good at...

Now that I’ve tasted Fable 5, it’ll be hard to go back

This is really cool. Appshots lets Codex see your whole window including what's scrolled out of view. The friction between you and your agent keeps dropping toward zero.

RT Morgan Must watch for anyone using Fable.

99% of people are using Claude Fable 5 wrong. People don't know how to work with it yet because nothing this powerful has ever existed. I'll show you 10+ use cases and startup ideas that can only exist because Fable 5 is here in under 34 minutes.

if you've been reading about AI and thinking "I should really build a company" for the last 6 months, today is the day. someone reading this right now is going to build a company this year that changes their life. it starts the same way every time. brew the coffee. open the laptop. lock in. find the idea. ship. iterate. the secret is there is no secret. this is the greatest time in history to be building. AI makes it all possible, you know that. I'm sitting here with my coffee thinking about all of you. rooting for you. will keep sharing everything i know in real time smiling as i get this cappuccino foam on my face. now go build something and make me proud.

3 things I wanted to understand about "agentic loops": 1. What are they actually? 2. Is it hype? 3. What are the real use cases? This is the most practical, clearly explained video on "agentic loops" on the internet (thx @Rasmic) http://youtube.com/watch?v=7clJ8IH784Q

Today is a wonderful day to build a company with Claude Fable 5

The amount of VC-backed AI companies lying about their ARR publicly is absolutely unsettling

RT TBPN Next time you pitch a VC, bring an air horn and compare your business to it, says @johncoogan. "My business is like an air horn. At any moment, it could blast off like a rocket ship." No one will fall asleep on you. They'll all be too worried you're going to blast the air horn.

What does it actually mean to be AI native? There was no clear guide on the internet for how to become AI native so we built the definitive one (60 min masterclass): 1. An AI native org has 3 layers: people for strategy and taste, agents for execution, and a shared context layer that makes the entire company readable to agents. 2. AI eats the middle of your work. You used to spend 80% of your day on execution. Now agents do that. Your job is the bookends: deciding what to do and judging whether it's good enough. 3. Everyone is a manager now. Your output is the output of your agents. If your agents produce garbage, that's on you. You set them up wrong. 4. Using ChatGPT doesn't make you AI native. That's like having a website and calling yourself a tech company lol. 5. No AI native org without AI native people. Most companies skip straight to the tools. That's why it fails. If your people don't understand how to manage agents, the tech doesn't matter. 6. Making your company "readable" to agents is the real work. Every process, every decision, every piece of knowledge needs to exist in a format an agent can consume. Most companies are nowhere close. 7. Speed without signal is just expensive chaos. You need the system to move fast AND know if you're moving in the right direction. 8. The skill chain is how agents get good at your specific workflows. Skills build on skills. The more you invest in them, the more your company compounds. 9. The moat is the system. People managing agents, agents reading from rich context, the whole thing getting smarter every week. That compounds. Your competitor can copy your tools. They can't copy your system. Full episode with @TheoTabah from @meetLCA on @startupideaspod. This is the stuff we normally keep internal but all the sauce is yours. @TheoTabah is the brains behind advising the world's biggest companies on AI and building AI products. Your fav CEO's first call for figuring out AI. You are in for a treat Become AI nat...

There are too many screens in cars these days. I just want to drive somewhere comfortably, listen to music without 12 screens in my face. Someone is going to build a car brand around simplicity, real buttons. 0 screens and it's going to sell like crazy.

The most comprehensive Hermes Desktop tutorial on the internet NOW is LIVE. You'll learn sessions, profiles, artifacts, cost savings, and real use cases for making money and building startups with Hermes agents. Whether you're already running Hermes or haven't started yet, this is the episode for you. @AlexFinn says this is the moment Hermes overtakes OpenClaw. S/o to Alex for walking me through it. "It's now the best way to use AI agents on your computer" I do think the desktop app of Hermes looks almost like an Apple product. Everything you need to know about Hermes Desktop App/agents in 43 minutes This episode is 100% free. No ads. @startupideaspod I just want to see you win on the internet. And I think Hermes can help. Plus, It's fun thing to play with this weekend. Share this with a friend. Link below. YT: https://www.youtube.com/watch?v=EJm8Ka-gVOc Watch

Bad news: 99% of VCs don't like me after this tweet Good news: 99% of founders have a similar story to mine (billionaires to early stage) so im not alone The important thing is know what game you're signing up to. Until now these stories have been secrets Do your own research

When I first became a dad I was genuinely worried my career would suffer. The opposite happened. 3 things changed that I wasn't expecting. First, a child cuts the filler from your life instantly. I used to sit at my desk for 14 hours and feel like I was crushing it when in reality maybe 4 of those hours were actual work and the rest was meetings that didn't need to happen, scroll sessions I told myself were research, and "quick calls" that turned into 90 minutes of nothing. A child deletes all of that overnight. Because you literally don't have the time anymore. Every hour matters in a way it didn't before. You could be with your kid, working on your startup, exercising, having dinner with your wife, sleeping. When your time is actually full of things you care about, the filler can't survive. I'm shipping more now than before my kid was born. Half the meetings. Faster decisions. I stopped saying yes to things out of politeness because my time has a very real cost now that I can feel in my bones. Second, your risk tolerance goes up, not down. Everyone assumes having a kid makes you play it safe. For me it created this urgency to build something real while my kid is young enough to not remember the hard parts. That urgency is more useful than any productivity system I've ever tried. Third, your thinking just gets clearer. I don't know how else to explain it. You stop deliberating for days and just make the call. You stop chasing every opportunity and only chase the ones that actually excite you. Something about being responsible for another human being gives you this filter that cuts through the noise instantly. Before my kid, I'd go back and forth on a decision for a week. Now I make it by lunch and move on. I used to think having a kid was the thing I'd do after I built the company. Turns out the kid made me better at building the company. Wish someone had told me that sooner. So I'm telling you. I know this sounds like something a new dad says t...

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect....

I wish Slack was: - Agent-first - Beautiful to use - Integrated with agents natively so your Hermes or OpenClaw lives inside it - Huddles worked seamlessly and were fun - Built for teams of 1-3, not just teams of 300 - Truly a second brain similar to Obsidian - Searchable without wanting to throw your laptop - Designed around async, not constant interruption - Voice first for mobile - A place where I could see who's working on what right now without asking anyone - Smart enough to know the difference between "I need you right now" and "whenever you get to this" - A workspace where my agent could tap someone else's agent on the shoulder and coordinate without involving either human - Designed so the new hire on day 1 has the same context as the person who's been there 3 years -Something that felt like walking into a room of people building, not walking into a room of people typing - A place where decisions are first-class objects - Able to auto generate SOPs, skills, agents etc from conversation history - Something that rewards deep work instead of punishing it with 47 unread notifications

I think we're going to see more $1M consumer apps built by 1 person this year than in the entire history of the App Store. And they'll look like this. Someone made Fruit Ninja but you play guitar instead of swiping. Weird, niche, fun. The kind of app you immediately send to a friend. With AI right now, you can build something like this in a day. This is why I love this era.

RT travis kalanick In 2001 I intercepted a partner at a VC who was trying to escape his office before our meeting was supposed to start. I ended up pitching him in his parked Lexus from the passenger seat. At one point he grabbed my laptop placed on his large belly which was pressed against the steering wheel and rapidly flipped through the slides himself. 2001 fundraising hit different

Some employees are using company tokens for personal projects It's the new "stealing office supplies from the company" The irony is the token thief is almost always the person who understands AI agents better than anyone else at the company

Tons of employees are using company tokens for personal projects It's the new "stealing office supplies from the company" The irony is the token thief is almost always the person who understands AI agents better than anyone else at the company

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 @startupideaspod. 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: https://www.youtube.com/watch?v=MlptIfpoLlw Watch

I was once pitching in a board room at a top 3 VC firm for a $15M Series A. 12 people in the meeting. One of the GPs fully fell asleep. Out cold for 30+ minutes. Nobody acknowledged it. Everyone just kept going. I kept presenting my Series A slides to an unconscious man in a Herman Miller chair and somehow that was considered normal. That's venture capital. You might fly across the country to perform for people who may or may not be conscious. It's a dance. And sometimes you lead and sometimes you follow and sometimes your partner is unconscious. If you're raising right now, just know: every founder has a story like this. The process is weird. The power dynamic is weird. You're not crazy for thinking it's weird. No one talks about it because they want to continue raising. But I'm happy to stick my neck out there. It is weird.

Funny how the pendulum shifts 1. "GPT wrappers are worthless" → the value acrues to application layer 2. "AI will eliminate white collar jobs" → someone needs to manage all these AI agents and everyone is now saying white collar workers will rise due to AI 3. "Open source will never catch up" → Gemma and DeepSeek are good enough for 80% of tasks 4. "I only use Claude Code, Codex is mid" → Codex is becoming a super app. Coding, docs, browser, computer use, automations, all in one surface. 4. "You need to pick a model and go deep" → model loyalty is dead, the best founders swap weekly based on the task 5. "SaaS is dead" → This was mostly true but for some SaaS margins actually improve when agents pay for their own tokens and need their own seats 6. "AutoGPT is the future" → AutoGPT died. Then agents actually got good 2 years later with Hermes, OpenClaw, and managed agents. The idea was right. The timing was wrong. 7. "Prompt engineering is a career" → lasted about 18 months as a job title. Workflow engineering replaced it. 8. "Computer use is a gimmick" → "sent from computer use/ai agent will be the new sent from iphone 9. "AI design looks generic" → the generic look is a taste problem not a technology problem. The founders feeding their agents references from Japanese packaging, brutalist architecture, and 1960s print are getting beautiful output. 10. "Fine-tuning is the moat" → a well-structured Obsidian vault with good markdown files outperforms fine-tuning for most use cases and costs nothing. 11. "Benchmarks tell you which model to use" → benchmarks tell you which model won a test. I think we're all waking up to this lol. 12. "AI will consolidate into 2-3 winners" → AI is fragmenting into thousands of vertical applications built on commodity models. The consolidation is at the model layer. The explosion is at the application layer. Both are happening simultaneously. 13. "The hard part is building" → the hard part is choosing what to build. Build...

I can't believe how fun building a company is right now is. The weird part is it doesn't feel like work anymore. New AI models/tools/repos keep coming out making the impossible possible. My ONLY anxiety is making sure I don't waste this precious moment and keeping up with the updates of all the new tools/AI models. AI is creating the greatest platform shift of all time. And, I've learned to never let a good platform shift go to waste. I was living in Silicon Valley around for the mobile era. I remember the feeling of "you can just build an app and put it in the store and people find it." That lasted maybe 4 years before the gold rush ended and distribution got hard. I'm getting that same feeling right now but bigger. The difference is I'm older, I know what a window looks like, and I know they close. I love building right now. Maybe you do too. Trying not to take it for granted. I'm excited for Monday. Can't wait. My partners and I are up at midnight most nights now sending each other screenshots saying "look what this can do." Nobody asks anyone to do this. We just can't stop. Something drops, someone builds something with it in 2 hours, and the group chat goes off. It feels like we're getting away with something. Some of the greatest companies of the next decade will be started in 2026. I'm sure of it. And it'll be fun. I feel like a kid again. Genuinely giddy.

GPT Realtime 2.0 is pretty incredible 17 startup ideas that ONLY work because of what this model makes possible: 1. Real-time contract negotiation agent. Sits on a call between two parties, checks pricing tools and compliance databases in parallel, and suggests terms mid-conversation while both sides are still talking. 2. Voice-controlled trading terminal. Talk through your thesis, the agent pulls market data, runs models, checks exposure, and executes the trade while narrating every step. Five data sources checked simultaneously while you're still talking. 3. Live multilingual event host. Realtime-Translate does 70+ languages in, 13 languages out, while the speaker is still talking. Every attendee hears the speaker in their language. Conferences go global overnight. 4. Voice-first medical intake. Patient calls in, agent conducts symptom intake, pulls their chart, checks drug interactions, books the appointment. All in one call. Previous voice models mangled medical jargon. This one was domain-tuned for it. 5. AI dispatcher for field service. Plumber calls from the job site, describes the problem, agent pulls the parts manual, checks inventory, orders the part, schedules the follow-up. Plumber's hands never leave the pipe. 6. Voice-first coding companion. Talk through architecture decisions while it writes code, runs tests, and explains what it's doing. Crank reasoning to high for hard problems. Drop to minimal for quick changes. 7. Live auction agent. Connected to estate sales, equipment auctions, domain drops. It listens to the live stream, makes bidding decisions, and tells you why it's bidding or passing. Thinks harder on big-ticket items. 8. Deposition prep agent for lawyers. Listens to practice testimony, catches inconsistencies, cross-references case documents, flags problems mid-conversation. Actually understands legal terminology. Note: for more startup ideas for the AI age go to http://ideabrowser.com 9. Live podcast research agent. Feeds you st...

RT Marc Andreessen 🇺🇸 Interesting.

I didn't cover Claude Opus 4.8 on my pod because I don't think it's MEANINGFULLY better than GPT 5.5 as of May 29th. We're entering the era where model releases start to feel like iPhone releases. Remember when every new iPhone was a genuine leap? Now it's a slightly better camera and you can't really tell the difference. That's where models are heading. 4.6 to 4.7 to 4.8. Each one is a little different. Nobody can agree if it's better or worse. The benchmarks say one thing, the vibes say another. The thing that actually matters right now is what's happening around the models. Claude Code shipped dynamic workflows this same week and that genuinely changes what one person can build. Codex shipped a desktop app with an in app browser that combines coding and knowledge work in one surface. Those are the releases that move the needle for people. The model underneath is becoming interchangeable. I think we're maybe 6 months from nobody caring which model they're using the way nobody cares which engine is in their Uber. You just want to get where you're going. When something genuinely changes the game for builders, I'll cover it on @startupideaspod. Opus 4.8 wasn't that. Dynamic workflows was. I'd rather save you the hour.

How to use Obsidian with Claude in 61 seconds

Claude Code just dropped "dynamic workflows" and it's pretty cool. You type "create a workflow" or turn on "ultracode" in the effort menu and it spins up hundreds of parallel agents that check each other's work. The unit of work you can hand off jumps from a file to an entire codebase. Migrations, audits, rewrites, framework swaps, stuff you used to plan in sprints now finishes overnight. The part that got me:....the agents argue with each other before showing you the result. Independent attempts at the same problem, then adversarial agents trying to break the answer. It keeps iterating until they converge. That's how senior engineering teams work. Except this team runs at 3am and never gets tired. Also if the workflow gets interrupted, it picks up where it left off. That means you can kick off work that runs for days. Not sessions. Days. Fair warning though: this burns through tokens FAST. Anthropic says so themselves. But if the task is a codebase migration that would have taken a team 3 months, spending $500 in tokens to do it in a week is the best trade in software. The ceiling on what one person can build just moved again. Classic. Going to be playing with this all week. Pretty cool.

Every CEO layoff letter in 2026 follows the same template. "Hardest decision I've ever made. AI changed everything. New roles designed for AI-native work. We owe it to our customers. We're choosing to compete." I feel like I'm reading the same letter with different logos

I just got back from SF and I FEEL INSPIRED. I spent 5 days with frontier AI model teams, AI startup founders, and 3 billionaires. My takeaways: 1. I had lunch with 3 billionaires. All of them are buying SaaS companies and rebuilding them agent-first. They were deeply inspired by Bending Spoons and Ryan Cohen's eBay deal. Buy the company, cut the headcount, rebuild the tech, add agents, add features, make more valuable experience, raise prices. 2. The frontier model companies are hungry for usage data from the field. They can see API calls and token counts. They can't see the actual workflows. If you're deep in a niche using these models in ways the model companies haven't seen, that understanding is incredibly valuable. Usage intelligence is the new alpha. 3. Consumer AI is massively underbuilt. Every billboard in SF is either B2B inference infrastructure or vertical agent companies. The entire city is optimized for enterprise. Meanwhile you have companies like Cal AI doing $50M ARR in 18 months as a consumer app. I met with a cool few teams doing consumer AI (@paulscherer / @ekuyda) 4. MCP came up in literally every conversation. The companies exposing their product as MCP endpoints are getting pulled into deals they never pitched for. The ones that aren't are becoming invisible to agents. This is the new SEO. If agents can't find you, you don't exist. Building products for agents is the new zeitgeist in general. 5. Not uncommon for hot seed rounds to be $25-50 million valuations. I saw a Series A at $450 million 6. If I had a dollar every time someone mentioned "forward-deployed engineer" this trip I could have funded a seed round. It's the hottest role in SF right now. The person who sits between the agent and the customer, making sure everything actually works. 7. The mood around open source shifted. A year ago it felt like open source was chasing the frontier models. Now founders are telling me Gemma and DeepSeek are good enough for 80% of what t...

How to build a vertical AI agent cash-flowing startup: find painful workflow in a boring industry → talk to 10 people who do that workflow every day → map every step, every tool, every spreadsheet, every phone call → do the workflow manually first → be the agent before you build the agent → find the edge cases that break everything → document them in obsidian as structured markdown → set up your agent stack → hermes for the harness → obsidian vault as the knowledge base → composio for authentication across apps → build your first 1-3 skills that solve the core pain → use claude code or codex to build the product → use agents to set up other agents → use perplexity MCP and context7 for up-to-date docs → let the agent handle the scaffolding while you focus on the workflow logic → ship the agent to your first 5 customers for free → watch what they actually use it for → they will surprise you → the thing you built for isn't always the thing they need most → build content around the niche → not "building in public" content → useful content → the tips, the shortcuts, the pain points that only someone who does this workflow would know → become the person for that niche → charge per outcome not per seat → per lease renewed, per claim processed, per candidate sourced → the ROI conversation takes 10 seconds when it's tied to a result → set up watchdogs and alerts → your agent emails you when a cron job breaks or a skill fails → the customer should never have to tell you something is broken → connect to open router → see exact costs per model per task → use GPT 5.5 for tool calls → use open source for lightweight tasks → route the right model to the right job → watch your margins double → let hermes write to its own memory after every task → the agent compounds → the longer it runs the better it gets → that accumulated memory becomes your moat → a competitor can clone your product but they can't clone 6 months of context → expand the workflow → you started with one ...

Be like Lenny (@lennysan) 1. Find a niche you genuinely care about 2. Obsess over creating insanely useful content for that niche 3. Build products that solve their problems better than anyone else 4. Be really nice 5. Design a life you don’t need a vacation from

reminder

My "36 biggest startup opportunities" tweet went viral. I took the top 9 (AI, mobile apps, IRL) and did a full deep dive. Episode is live below http://youtu.be/IFLY6L3YPGo?si=dCjpbTBEy1rIUqex Happy building, I'm rooting for you

http://x.com/i/article/2056351240506974209

The 36 BIGGEST startup opportunities right now 1. biggest b2c: solving loneliness. third spaces, community apps, IRL 2. biggest b2b: managed AI employees for businesses 3. biggest overlooked: elder tech. 70 million boomers who want products that make them happier & healthier 4. biggest mobile: action apps that do things, not apps you stare at 5. biggest trades: matching platforms for electricians, plumbers, HVAC. supply shrinking 6. biggest consumer social: small social. group chats as products, no feeds, no ai slop 7. biggest ecommerce: agents that recommend products you'll like, shop, buy for you 8. biggest creator: live shows and unscripted content 9. biggest edtech: AI tutors that adapt through conversation 10. biggest SaaS: pay-per-outcome pricing 11. biggest auto: AI service advisor for dealerships. answers the same 15 questions 24/7 12. biggest talent: training non-technical people to operate agents 13. biggest boredom: curated offline experiences delivered to your door. kits, games, challenges. anti-screen products 14. biggest spiritual: the need for belonging is exploding, new formats of spiritual get togethers 15. biggest wellness: longevity biomarkers you actively manage 16. biggest mobile: action apps that do things, not apps you stare at 17. biggest one to solve ai slop: digital verification that you're a real human. every platform will need this within 2 years 18. biggest infrastructure: agent permissions, security, audit trails 19. biggest media: AI native media companies. build distribution, sell products later. 20. biggest parenting: family ops automation. forms, scheduling, logistics 21. biggest accounting: bookkeeping agents that charge per transaction 22. biggest fashion: brand-owned resale. every brand wants to control their secondary market 23.biggest hobbies: adult learning for joy. pottery, woodworking, drawing. 24. biggest skincare: at-home diagnostics. scan, get a protocol, track progress 25. biggest agriculture: pr...

How to make really good Claude skills (clearly explained in 42 seconds)

More AI agent observations below (I keep adding to the list): 1. Hermes agents write to their own memory after every task. Which means starting today versus starting in 6 months is an unfair advantage for you. 2. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now 3. The real reason local models matter for founders: you can ship a product where the AI runs entirely on the customer's device and you never touch their data. Zero privacy concerns. Zero server costs. Zero compliance headaches. That changes which industries you can sell to overnight. Healthcare, legal, finance, all the regulated verticals that won't send data to the cloud just opened up. 4. Every company needs to be rebuilt as a "second brain" before agents can be useful. That means every process, every decision, every piece of institutional knowledge has to exist in a format an agent can read. Most companies have none of this. 5. Agent costs are the new headcount. Won't be crazy for companies to spend 50%+ of their total headcount cost on tokens. 6. Agents are accidentally creating internal competition at companies. The marketing agent and the sales agent are optimizing for different metrics and working against each other without anyone realizing it. It took humans decades to develop cross-functional alignment. Nobody thought about it for agents. 7. The YAML config file is becoming the new org chart. Who reports to who, what permissions they have, what tools they access, all defined in a config file. The company's structure is literally a file you can version control, fork, and deploy. That's new. 8. The first agents that can smell a scam are going to be worth billions. Right now agents will happily wire money to a fake invoice because it matched the format. The trust layer is completely missing. 9. We're about to find out that most ...

The best startup ideas are the most obvious

Is DeepMind the greatest acquisition of all time? Google paid around $500M for it in 2014. That single acquisition gave them Gemini, Gemma, AlphaFold, and a huge chunk of their entire AI future. Everyone talks about YouTube at $1.5 billion as one of the greatest acquisitions. And it's up there. But not enough people are putting DeepMind in that same conversation. DeepMind gave Google the ability to compete in the most important technology race of the century. I just saw a Series A AI company that's a few months old raising at around that same valuation. Google got DeepMind for $500 million. For their next 30 years. That number looks cheaper every single month.

The hot theme each year is basically a talent and capital vacuum cleaner. It sucks all the smartest people and all the money into one room. Which means every other room is empty. The most valuable companies get built in the empty rooms. This chart is 10+ years of proof.

RT Jessi Cao Must read

My 30+ observations on the greatest opportunities in AI agents right now: And some ideas that are keeping me up at night. 1. The new buyer on the internet is an AI agent. Imagine billions of new customers showing up with money to spend but they only shop via MCP. That's what's happening. No MCP server means you're invisible to the fastest growing buyer on the internet. 2. Every franchise system in America (30,000+) needs an agent layer and none of them have one. One founder per franchise vertical. That's 30,000 businesses waiting. 3. Everyone said "distribution is the only moat" a year ago. Now I'd add that the only moat is distribution plus memory. The company that has your audience AND your agent's accumulated context is impossible to leave. 4. Consumer mobile is more interesting than it's been since 2012. Apps can finally DO things for you instead of showing you things. The next wave of $100M apps are being built right now. 5. The most interesting startup nobody has built is an agent marketplace where you rent access to someone else's trained agent. A recruiter spent 6 months training a sourcing agent on healthcare hiring. That agent is worth renting to every other healthcare recruiter on earth. The agent itself becomes the product. 6. A sorta strange phenomenon that's happening right now is agents are developing preferences. Give the same agent the same task 100 times and it starts developing patterns in how it approaches it. Nobody is studying this yet. But the agents that develop good patterns are worth more than the ones that don't. That's a new kind of asset. 7. Dead internet theory is about to become dead SaaS theory. Half the apps you use will quietly replace their support team, their onboarding team, and their content team with agents. You won't notice for months. Then you'll realize you haven't talked to a human at that company in a year. 8. The most valuable data in the world right now is sitting in the support tickets of small or mid tier Sa...

RT Roey | AI & Tech This is A must-watch. Honestly one of the most practical AI breakdowns I've seen this year.

I'm giving away a FULL course on how to build a managed AI agent business solo using Hermes Agent, Orgo, Obsidian, Codex, Claude Code etc. Here's everything (47 minutes): 1. The offer: unlimited agents, unlimited usage, all infrastructure and security included. The customer gets a digital employee. They never think about tokens or models. You handle everything. 2. Don't niche down too fast. Try marketing agencies, law firms, insurance, manufacturing, real estate. See where the market pulls you. Then go vertical. Diverge first, converge later. 3. Every executive has the same problems regardless of industry. Too many emails, too many meetings, too many follow-ups, too many open loops. Solve those first. Then layer in vertical-specific skills. 4. The stack: Hermes Agent for the agent harness. Codex or Claude Code desktop to build and configure. Orgo for cloud computers so every agent lives in its own sandbox. Composio for one-click authentication across thousands of apps. Agent Mail to give every agent its own email. Obsidian for the knowledge base. 5. Use agents to build agents. Don't stress about setup. Use Claude Code or Codex to install and configure Hermes inside a VM. Use Perplexity MCP, Context7, and Exa for up-to-date docs. Your agent sets up your customer's agents. 6. GPT 5.5 is the best model right now. Efficient with tool calls. Doesn't eat tokens like Opus 4.7. For cheaper tasks, GLM 5.1 from ZAI is the best open source option. 7. Set up watchdogs for gateway crashes so they auto-restore. Have agents email you when cron jobs break or skills fail. Your customer should never have to tell you something is broken. 8. Get customers through content. If someone jumps on a call and already knows who you are and what you sell, that's the position you want. Content is the most leveraged thing you can do in 2026. 9. Keep scope tight. One to two requests at a time, delivered in under 48 hours. Use Trello for customer-facing project management. Send Loom upda...

There's a strange inversion happening with trust. We used to trust institutions and distrust individuals. Now we trust individuals and distrust institutions. This is going to get more extreme as AI floods the internet with corporate sounding content and brands that all look the same because they're all trained on the same 200 references. The more polished and institutional something looks, the less people trust it because it pattern matches to "generated". The more raw, personal, and imperfect something feels, the more people trust it because it pattern matches to "real". I'm noticing this. Maybe you are too.

If you were the kid who carried every group project in school, you'll love the AI era. People let you down. Agents will too. They break, they hallucinate, they do the wrong thing at 3am. The difference is the feedback loop. When a person drops the ball, you have a conversation, wait a week, and hope it gets better. When an agent drops the ball, you fix the prompt and it's better in 5 minutes. Same frustration with 100x faster resolution. Not everyone will love working like this. But a lot of people will. I really like it.

7 tiny AI agent startup ideas you can start building today 1. The domain flipper agent. Monitors expired domain drops, scores them on backlinks and keywords, sends you a ranked list every morning. Buy for $10, flip for $3,000. I used to run this exact business manually with designers making logos for each domain. Now the whole thing is automated and 25x cheaper. 2. The local liquidation agent. Monitors restaurant closures and bankruptcy auctions in your city. Equipment worth $30k new sells for 10 cents on the dollar. Broker the deal for 15-30% fees with zero inventory risk. Works for dental, gym, and salon equipment too. 2. The hiring signal agent. Job postings are buying signals. Agent monitors boards daily, matches hiring patterns to what you sell, and sends draft outreach to your Slack every morning. Sell the leads to agencies or use them to build your own. 3. The sunset SaaS agent. Scans Product Hunt launches from 3-4 years ago that still have data and SEO traffic. Most founders have moved on and will be pumped to sell for cheap. Buy it. Rebuild the product as agent-first. 4. The dying app store agent. Finds apps that were top 100 three years ago, dropped to 500+, but still have 1,000+ reviews. Developer moved on. Product is validated. Acquire it. Relaunch with better monetization + AI features where it makes sense. 5. The competitive intel agent. Monitors 5 competitors while you sleep. Pricing changes, new pages, job postings, founder tweets. One-page brief by 7am. Sell as productized service or just use the intel. The idea framework behind all of these: 1. Think about any job where someone spends hours checking for updates or scanning listings 2. That's an agent 3. Build the agent that does the watching 4. You do the acting (or sell the watching to someone else) 5.Stack them. Each one is its own revenue stream. I built all of these using @genspark_ai Claw in under 20 minutes each. Been testing it for last few weeks. I show you how to do it too in tod...

RT Henok This might be one of the most important articles for you to read this decade

There are more startup ideas in a single 100,000+ person subreddit than in every Y Combinator batch combined. r/accounting, r/realtors, r/dentistry, r/insurance etc. Every post that starts with "is there a better way to do this" is a product waiting to be built with AI.

http://x.com/i/article/2053837926690148352

Your mom used to say “reach for your dreams” Build a company Anything is possible

Livestream talking AI business models/ideas + Q&A https://x.com/i/broadcasts/1nKOLEwmMkwGR

My entire feed is Hantavirus This was the best (most clear) read on Hantavirus right now

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 https://youtu.be/oLu32YpiIJw?si=1YoYhkymvoQYJk-U shoutout to @mengto for coming on @startupideaspod and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this...

Call me crazy but I think nerfing AI models should be illegal. Imagine buying a car and the manufacturer remotely downgrading your engine 6 months later. Not cool.

The entire AI-native opportunity map in a 2x2 matrix. Most people build in the wrong quadrant. Top left is too simple, already commoditized. Bottom left isn't painful enough. Bottom right is complex but doesn't repeat. The money is top right. High repetition. High complexity. Insurance, recruiting, compliance, legal intake. That's where agents win. Tomorrow I'll break it down for 60 minutes at 12p EST. Last time, we ran out of room. Grab a spot. http://ideabrowser.com/workshop/build-a-business-in-ai-world-may-7 We are at the very beginning of the very beginning. The opportunities are endless right now. Let's go.

The truth is there are probably ONLY 1,000 truly AI-native companies on earth making $5 million ARR or more. What does truly AI-native actually mean? It means everything in the business is structured so agents can consume it. Every customer record. Every SOP. Every email template. Every pricing rule. All of it indexable. All of it readable by an agent. Agents do the support. Agents do the outreach. Agents do the research. Agents draft the contracts. Agents process the claims. Humans review, approve, and steer. And there are only about 1,000 of them. On the entire planet. If that doesn't make you want to go build one right now, I don't know what will. Most people think they're AI-native because they use ChatGPT at work. That's like saying you're a chef because you own a microwave. There's so much opportunity in actually being AI-native because almost nobody is doing it yet. 1,000 companies out of millions. Despite what you read....the field is empty.