Greg Isenberg

It really is the GOLDEN AGE of hardware startups. For basically all of history, hardware was the worst business you could pick. You needed a factory, a supply chain, a hardware engineer, tens of millions of dollars, and 2 years before you could even find out if anyone wanted the thing. That's why almost nobody did it, and the few who tried mostly died on the manufacturing. What's happening now is that every one of those walls is coming down at the same time. 1. The brains got cheap because open source models can run the thing for basically nothing. 2. The design got free because the whole robot is open source, so you're not starting from a blank page, you're forking someone else's working robot and changing what you need. 3. The manufacturing is increasingly something you can contract out in small batches instead of betting the company on a 10 000 unit order. So now you're able to create a $399 that used to cost like $3999 not long ago. The thing I keep coming back to is that this is the same pattern software went through, just 15 years later. When building an app got cheap, we got a million businesses nobody could have predicted. Building a robot just got cheap. I'll add some hardware ideas to http://ideabrowser.com (literally free to sign up to get validated ideas) TLDR; We're about to get the same EXPLOSION, except this time it touches the physical world. I'm not surprised NVDIA agreed to buy HuggingFace for $12.9B. The hardware wave is COMING. What do you think?

RT Vinny Wanna learn more about WebMCP? Now that OpenAI is integrating it into ChatGPT, you should. Greg and I get into it, along with the potential for entrepreneurs to utilize this tech to their advantage:

WebMCP by Microsoft and Google is HERE and I'm surprised more people aren't talking about it. Why does it matter? BILLIONS of dollars are about to move through agents, and the internet isn't built for them yet. 1. SEO was about Google understanding your page. 2. AEO was about AI citing you. 3. WebMCP is about the agent actually finishing the job (buying, researching, requesting quote etc). WebMCP is basically websites with agent buttons. Instead of an agent scanning a page like a human, screenshotting and guessing where to click, the site just tells it "here's how to search, here's how to book, here's how to buy." 2 cash flowing businesses you could start today using WebMCP: 1. A WebMCP conversion agency Make boring business websites agent-ready. Law firms, HVAC, med spas, dentists. Build them the first tools (request a quote, book a consult), sell the setup for $2k, then charge a few hundred a month to monitor and improve it. 2. An agent mystery shopper. Test whether agents can actually complete the important journeys on someone's site, buying the hoodie, booking the consult, filing the claim. Hand them a report on where the agent got stuck, missing tools, bad descriptions, lost conversions. Charge monthly, then turn the repeated fixes into software. Full episode on @startupideaspod with @hot_town below http://youtu.be/EoNH3Tn8wYE?si=vqaNLrrNTfrnlBtB You'll learn what WebMCP really is, see examples of it IN ACTION, and hear more about 2 startup ideas using WebMCP you can start today. WebMCP is pretty cool. Watch.

Someone should build GitHub for normies. Now that anyone can build software with AI, millions of non technical people are making apps, but they have nowhere to store, share, or show off what they built. GitHub was made for engineers and it feels like it. You're starting to see personal software platforms emerge like Wabi, I think this only gets bigger. The version built for regular people, dead simple, visual, no git commands, is going to be huge.

This is the MOST asymmetric window I've ever seen in business. It's honestly hard to comprehend. Never in history have this many categories opened at once, ALL ripe for the taking: 1. Take a boring business doing 20% margins, an accounting firm, an IT shop, a local service company, and swap the human labor for agents until it runs at software margins with customers it already has. This is the Thrive Holdings model. 2. Build the picks and shovels, the clean API or data source that agents call 1000 times a day, and get paid per call instead of per user. I call this being in the building blocks business. 3. Buy a sleepy SaaS with real customers and a tired founder, then rebuild it AI native and 10x what it can do while building a media machine along side it. 4. Run a service business that looks like an agency on the outside but is really you plus a team of agents doing the delivery, priced like consulting, delivered like software. 5. Watch what people are still hiring for on Upwork, the "data entry specialist," the "appointment setter," the "research assistant," and build the productized agent that replaces that exact role, then sell it to every company posting the job. Vertical agents are here! I could keep going forever but you get the point. Contrary to what a lot of people believe (AI is coming for us, you need to raise venture to compete etc), the opportunity right now is endless. You don't need to quit your job. Finally, you can build a real startup on the side. It's starting season. If you've EVER thought about starting a something of your own, this is the moment to stop thinking about it. Seasons like this don't last forever. Start.

I went live to react to some of my fav tweets of yours from the X timeline like a $1m baby iOS app, how to actually make a company AI native, and why iMessage agents are becoming a real category worth watching. Laughed a lot. Full stream below.

Some days I feel like I’m the only one not on peptides Anyone feel the same?

AX is the new UX. Software was built for humans clicking, now it gets rebuilt for agents. Stripe just paid $8B for OpenRouter betting the main user of the internet is an agent. Rebuilding all that software is 1000+ new companies. The most obvious opportunity in a long time!

it really feels like open source is having its moment

RT Elon Musk Cool

RT The Startup Ideas Podcast (SIP) 🧃 http://x.com/i/article/2090900582223814656

Grok Bot might be the first tool that lets one non-technical person run an entire business with a team of AI agents. My friend Billy runs his whole newsletter business on Grok Bot agents, and I think we're about to see 100,000+ businesses like his. BEST PRACTICES: 1. The agents run on a shared cloud computer, so running your newsletter, your X, and your receipts all in one place creates context bloat and burns tokens fast. One mission per setup. 2. Start with a Chief of Staff. Give it access to your existing docs (Notion, Slack, Gmail), have it audit the business, then tell you the top three agents to build first to drive revenue. 3. Perfect a task with the Chief of Staff before spinning up a new agent. Have it do the outbound sales once, review it, and only then say "now build a bot that does exactly that." You earn each new hire by proving the task works first. 4. Constraints are the feature. You get a limited number of agents, one thread per bot, like DMs with a teammate. It forces you to stay mission-oriented instead of spinning up a bot for every random idea. 5. You make the decisions, not the agent. Billy's team spent three weeks unable to pick where content should live. At some point you say "we're doing Notion, no more tinkering" and move on. 6. Run week one with no new agents. Build the team, learn to fly the plane, just execute. Week three is when you find the real gaps and expand, someone to man the inbox, someone for the Shopify shop. 7. Then add routines so it works while you sleep. Ask your Chief of Staff what recurring jobs would move the business forward overnight, and it builds the automations that run without you. Thanks to @billyjhowell for sharing the sauce on @startupideaspod (follow for more). Grokbot is really cool. Watch below: http://youtu.be/qQluNEfSVHk?si=3L2cAB71NQSuqxWU

I miss japan

2008-2025: "There's an app for that" 2026-????: "There's an agent for that"

vibe coding is now just coding

BOOTSTRAPPED VS VENTURE BACKED STARTUPS If you run a bootstrapped business using VC strategies, you will lose. They are different games with different rules. I REALLY felt how different while listening to Travis Kalanick on David Senra. Travis subsidized rides to buy the market, ate massive losses on purpose to spin up the network effects, and went from a $6B to a $17.5B valuation in 2 months to turn money into a weapon. It's a masterclass. And if you're bootstrapped, most of the movse he describes belongs to a different sport. I've built and sold VC-backed startups (one to WeWork, the most VC thing that ever existed lol), and now I'm building a bootstrapped holdco, so I've felt both. Underpricing to zero is genius in VC and suicide bootstrapped. Taking a dividend is smart bootstrapped and crazy in VC. Every strategy only makes sense inside the game you're actually playing. Same words, growth, win, competition, mean opposite things depending on which game you're in. And there is no right game or wrong game. It's a really personal thing. Some people watch Travis talk about turning money into a weapon and going to war for a market, and they get fired up, that's their game, and they should go raise and swing for the $10B outcome. Some people watch the same clip and think that sounds like a nightmare, they'd rather own the whole thing, get paid every month, and answer to nobody. I think both are great. You just have to know which one you are. They're just different lives.

Send this to ANYONE on your team using AI agents with Claude/Codex skills: If I were you, I'd put your BEST AI skills in a GitHub repo, turn that repo into a PLUGIN, and have your team INSTALL it in Claude/Codex with auto update on. Why? 1. Everyone gets the same AI SOPs instead of 10 versions floating around Slack 2. When one person improves a skill, the whole team gets the better version. 3. New hires can start with your best workflows instead of a blank AI setup (this is a BIG deal). 4. If someone breaks a skill, you can roll it back with version control. 5. Personal skills can stay personal, while team skills become shared company infrastructure (and an asset!). 6. Your best AI processes stay with the company when someone leaves. 7. You can chain skills together for bigger workflows, like titles -> thumbnails -> descriptions -> YouTube publish. 8. You can track which skills are actually being used and delete the ones collecting dust. 9. You get less slop because the agent has real instructions, examples, taste, and process. 10. Your team moves from single-player AI to multiplayer AI. (thanks to @aiwithremy for coming onto @startupideaspod) Watch full breakdown here (clearly explained): https://youtu.be/xHsftiyT9pQ?si=pcwqatvS7u3cf3Ne I don't know why I didn't do this before. The more I think about it, the more obvious it feels: your AI workflows should be version controlled company assets. It kinda feels like the difference between “we use AI” and “we actually operate with AI". Enjoy.

I don't think we're ready for how much the internet is about to change within the next 36 months because of super intelligence and AI agents

The biggest lie 12 months ago was the narrative that GPT wrappers were useless/you were dumb building a business on top of the LLMs, and now we're seeing dozens of them worth billions and hundreds of these companies worth $10M + There's a lesson there?

9 things that took my Claude Code from okay to unreal: 1. Workspace: a repo that explains itself 2. Memory: the files that tell it how you work 3. Brief: plan mode before it touches anything 4. Ticket: one clear task with a finish line 5. Eyes: it opens the app and clicks through like a customer 6. Review: it checks its own work against your standards 7. Schedule: routines that run while you sleep 8. Permissions: what it can do freely vs what stays with you 9. Skills: reusable actions, plus connectors and hooks Note: thanks to @AnthropicAI for sponsoring today's ep. I go through all 9 with the exact prompts/best practices and a 7 day plan to set it up in the full episode. Once these are in place, Claude Code just hits different Watch http://youtube.com/watch?v=SkY-tR9kf-k&t

Running list of AI agent ideas to make you more productive and more money: 1. The onboarding rescue agent. Watch PostHog for any new signup who stalls on the same step for more than 10 minutes, then have an agent send them a Loom style personal message or a CustomerIO email that answers the exact thing they're stuck on before they give up. 2. The pricing page bounce agent. Fire a PostHog webhook when someone hits your pricing page twice and leaves, have the agent enrich them with Apollo, and send a short email with the objection handler for their specific company size when it matters. 3. The second product in support agent. Point an agent at your Intercom/Plain inbox etc and have it tag every request that isn't actually about your product, the adjacent thing people assume you also do. It ranks them by frequency. 3. The you already answered this agent. Have an agent read your sent folder, your Intercom replies, and your sales emails, and pull the clearest explanations you've ever written about your product. It drops them into a swipe file your landing page and cold emails pull from. 4. The internal tool to product agent. Point an agent at your team's GitHub scripts, Retool apps, and Google Sheets, and have it flag the ones 10 other companies in your niche would pay for. 5. The review mining agent. Apify scrape every review of your top 3 competitors on G2 and Capterra, cluster the 1-star complaints with Claude, and get a ranked list of the features to build and the exact words to use in ads to poach those unhappy customers. 6. The sell what you give away agent. Once a week, feed your Granola/Gmeet call notes and Intercom threads into an agent that hunts for every task your team did for free that took more than 30 minutes. It clusters them, counts how often each came up, and ranks by demand. The top 3 become paid add ons. 7. The win pattern cloner. Pull your last 50 closed-won deals from HubSpot or whatever CRM you use, have an agent find the firmographic tr...

The question I get most right now is "what should I turn into an AI agent?" Here is the 5 part test I use (works for Claude/Codex/Grokbot etc): 1. It has a repeated trigger, so the same kind of task keeps happening over and over. 2. The inputs are stable, so the information comes in a predictable shape every time. 3. The tools are clear, so there is a defined set of things it can actually go do. 4. There is a measurable finish line, so you can tell when it is done and whether it worked. 5. There is judgment in the middle, so each run is a little different and needs a real decision made in the moment. The first 4 are really just asking "can this be automated at all?" The 5th is the one that matters, because judgment in the middle is what makes it an agent instead of a simple automation. Once you see it this way, you start spotting agent work pretty much everywhere.

Stop asking "can this be an AI agent??" Start asking: is there a repeated trigger, are the inputs stable, are the tools clear, and is there a measurable finish line? Four yeses and you've probably found agent work.

One of the biggest consumer AI opportunities is helping people close the tiny loops they keep avoiding. Think about the 47 little things sitting on your list that you keep not doing. Emailing back the person you owe a reply, disputing the wrong charge, rescheduling the appointment, things like that. Each one is small, but each one requires digging up context, making a decision, and sending a slightly uncomfortable message. So they just kinda sit there lol. The opportunity is an agent that does the hard 90% of each loop, finds the context, makes the call, drafts the message, so all you do is hit send. The wedge is going after one loop first and nailing it. Examples: 1. Warranty and rebate claims. People throw away hundreds because filing feels like homework. The agent watches your purchases, knows what's claimable, fills the forms, and hands you the check. 2. The "I should switch" loops. You're overpaying for insurance, your phone plan, your electricity, and you know it, but comparing is a slog. The agent monitors and drafts the switch when it's clearly worth it. 3. The kid-logistics loop. The permission slip, the form the school needs signed, the birthday party you never RSVP'd to, the summer camp that's about to fill up. For any parent, it's a hundred tiny deadlines a month, and the agent catches each one and drafts the response. Things like that. Just giving some ideas to get the creative juices flowing. Tons of apps like this will be created over the next 12 months. It just makes sense.

i agree

The BEST prompt for AI agents I've heard over the last 12 months is ONLY 3 words, and it comes from someone who managed multi-billion dollar P&Ls in AI, led a 100 person org at AWS, and now runs a brilliant AI workforce of 34 agents: 1. Her best prompt is just "do smart things" She gives the agents all her context first, her calendar, email, Stripe, goals, and transcripts, then lets them decide what's worth doing. She realized every task still started as a thought in her own head, which meant the company could only ever be as good as what she remembered to ask for. 2. Her human team talks to her agents in Slack. She has a channel where a teammate can ask "did that financial services client reply to Ali's email," and the agents answer directly, so people stop waiting hours for her to get back to them. 3. Since an AI agent costs almost nothing, she hired the person she'd never put on payroll. One does nothing but ask how to make everything ten times better. Another just watches the other agents work and flags where they get stuck. 4. She avoids old job titles, because the second you call one your CMO, you've rebuilt a 2015 company with robots. Most of her sub-agents run on cheaper, smaller models and do the job fine. 5. Run an AI watchdog instead of a dashboard. Point one at your Slack to catch two people doing the same work, at your calendar to flag conflicts, at your analytics to tell you what to post tomorrow. Almost nobody does this yet. 6. She keeps a daily "brain dump" that feeds the agents. At the end of each day she dictates what's in her head that isn't written down anywhere, the stuff that only lived in a meeting or a Slack thread, and it goes into a wiki the agents read. That's how they get the context that email and calendar miss. 7. She uses a "last 30 days" research skill to spin up on anything fast. Before running a workshop for 200 execs in an industry she doesn't know, she fans out agents to scan and synthesize the last month of news, then...

Cloudflare just made it possible to charge AI agents to access your site. Sounds small, but it's not. It's the start of an internet where agents are the customers and websites are the resources they pay to use. Watch: http://youtube.com/watch?v=MNNfat_QP0E&t

23 ways I'd use AI agents to grow my startup to $1M ARR or PMF (my running list): 1. An agent read your Stripe refunds/cancellation reasons, then trigger a different CustomerIO sequence for each, so the person who left over price gets a discount and the person who left over a bug gets a "we fixed it" email. 2. Wire an agent to your PostHog feature flags and have it race two onboarding flows on live signups, auto killing whichever activates fewer people each week. An A/B test that prunes itself!! 3. Watch your competitor's status page, and the hour they go down, spin up Google Ads targeting "[competitor] alternative" while their users are actively searching. (kind of ruthless, kind of brilliant) 4. Feed an agent your closed-lost deals, have it draft a personalized reopen email for each, and drop them in your outbox for 1 click send. 5. Turn your best customer's onboarding into a playbook.md, then run every new signup down that exact path so your best outcome becomes the default. 6. Point an agent at your inbox for positive-sentiment messages and auto-send a Senja review request while the customer is still glowing. And then your G2 page fills itself. 7. Watch for the moment you solve someone's support problem and fire the referral ask right then, while they're relieved and grateful. Timing is everything on referrals. 8. An agent watch your Stripe data for annual customers who never log in, and reach out to re-onboard them, because realistically silent renewers are one bad quarter from canceling so get ahead of it. 9. Catch pricing page bouncers via a PostHog webhook, enrich them with Apollo, and send the objection-handler for their specific industry before they forget you exist. 10. Build an agent that continuously scans for new "best X" and "X vs Y" articles ranking in your category, and auto-drafts a personalized pitch to each writer asking to be added as an option. 11. Use Apify to scrape everyone who liked your competitor's launch post, waterfall th...

The new org chart probably looks something like this: A small layer of humans on top doing strategy, creative, and judgment, with a wide layer of agents underneath running support, sales, research, marketing, ops etc Managing people became managing agents, and managing agents is really just managing context (which is a whole thing millions of people need to learn right now) That shared brain is the actual company now, and the humans and agents just plug into it. Both humans/agents come and go, the context is the thing that compounds and can't be copied. I keep thinking about that.

Dashboards are dead, agents are alive

A lot of agent startups should probably start as a daily text message (not a SaaS product!) Kinda like your smart co-worker. “Here are the 3 customers you should call today and why” etc Truth is, if the message is valuable enough, the interface can come later

A simple way to think about startup ideas: 2024: build a copilot for xyz. 2025: build Cursor for xyz. 2026: build an agent for xyz. 2027: build /loop for xyz.

Marketing agents are the new coding agents and every marketing channel is RED ocean now because AI slop FLOODED all of them How to actually build marketing agents that work (2 real examples, all tools shared, 43 minute masterclass) watch: http://youtube.com/watch?v=mD7JpNHLT70

"Graph engineering" clearly explained (and how it can get you more out of claude code/codex) Watch: http://youtu.be/JWhICz1QR8M?si=Lyb3jO03voQZU7oG

Every startup should have a daily markdown file called "what_the_market_is_telling_us.md" It updates every morning from the places where customer truth already lives: 1. Stripe for who pays, upgrades, downgrades, and churns 2. PostHog for what people actually do in the product 3. Intercom or Plain for support tickets/complaints 4. Granola or Gmeet transcriptions for sales calls/ customer interviews 5. HubSpot or Salesforce for CRM notes/lost deal reasons 6. Linear, Jira, or GitHub Issues for bugs and feature requests etc 7. Ideabrowser MCP for outside market signal: startup ideas, trend reports, social/search demand, AI research reports, and builder prompts that show what people are starting to want before it shows up in your own customer data. Basically, the file should notice what changed in the business this week and not just be this summary of here’s what happened (which I think a lot of people have their agents do). Why this is valuable: 1. Maybe new buyers are using different words than they were a month ago. 2. Maybe trial users are getting stuck in the same place. 3. Maybe upgraded customers all touched one feature right before they paid. 4. Maybe churned customers keep mentioning setup confusion. 5. Maybe sales calls are suddenly losing to a competitor you used to beat. 6. Maybe support tickets are revealing a workflow your product accidentally became responsible for. You get the point. The fastest way to PMF is understanding customers better than anyone else, and the highest signal customer insight is usually a change in behavior. So I’d have the agent update the file every morning with the pattern it found, the receipts behind it, and the product or GTM decision it might affect. For example: “3 customers who churned this week all mentioned setup confusion, and 2 of them never invited a teammate. This looks more like an activation problem than a pricing problem, so I’d look at team invite and onboarding before building another analyt...

The biggest opportunities right now: 1. build for solving loneliness (the more AI floods everything, the more people crave real human connection, IRL and small social) 2. build for agents that need to spend money (they're getting virtual cards and budgets, someone builds the spend controls, fraud protection, receipts) 3. build for people drowning in AI output (everyone generates infinite drafts now, the bottleneck moved to reviewing and choosing, build the judgment layer) 4. build for the burnout economy (everyone is expected to always be on and always optimizing, and the backlash toward rest, slowness, and enough is building) 5. build for verifying humans (deepfakes broke trust, every dating app, marketplace, and video call needs proof-of-human within 2 years) 6. build for the physical world (the trades, hardware, robots that AI is finally reaching) 7. build for the agent that answers the phone (every local business misses calls after 5pm, a voice agent that books the job is worth thousands a month) 8. build for the aging (70M+ boomers who want to stay healthy, sharp, and connected) 9. build for the LLM-search land grab (being the cited answer is the new SEO) 10. build for the newly automated (the paralegal, the analyst, the marketer whose job just changed and needs to reskill fast) 11. build for the seat-pricing collapse (software repricing from $50/seat to per-outcome, whoever nails outcome billing wins a category) 12. build for AI enablement (95% of businesses use nothing beyond ChatGPT, someone has to onboard the other 95%) 13. build for the agency everyone resents (businesses pay $1k/mo to agencies they hate, an agent that does 80% of it undercuts the model) 14. build for verticals on 2011 software (dentists, HOAs, contractors, all overdue for an AI-native rebuild) 15. build for reviving dead software (thousands of abandoned apps with real users, agents can maintain what a team couldn't, buy and revive) 16. build for markets too small to matter...

forget virtual reality, the next big thing is actual reality

we are going to witness a golden age of hardware startups because the cost of intelligence is collapsing open source models commodity robotics global manufacturing ai design tools hardware is becoming software

Software is dead? No way. Let's discuss. See you there. https://x.com/i/broadcasts/1yGBeenOQBLKN

Every year it's the same. Something is dead, the window closed, it's too late And every year, the people who ignore it and just build put themselves in a position to get "lucky" Maniacally focus on driving a huge amount of value for customers with real problems and keep going!

Call me crazy but I don't think software is dead There's a wave of doomerism right now about no opportunities left, and honestly I just don't see it I'm going live today on X/YT at ~2:30PM EST to break down why. Come through, bring your questions Have a creative day, friends.

RT jack thanks greg!

EVERYTHING you NEED to know about Jack Dorsey's AI agent "Slack killer" Buzz (set up, use-cases etc in 38 mins) What we get into: 1. What Buzz actually is and should founders switch from Slack? 2. How to swap the model under any agent and keep all your context? 3. How to talk to your agents live with audio huddles? 4. How to get agents to build and deploy real apps for you, like a full CRM from one ask? 5. How to set up the context loop that feeds your live app data back to your agents? 6. How to share compute so a few people split one machine running a local model? 7. Who it's actually for right now, and what's still rough? Full breakdown on the pod @startupideaspod. Thanks to @hot_town for jumping on and clearly explaining @jack and team's latest product. My TLDR take is Buzz is a glimpse into the future of work. Some of you will roll your eyes at that, and I get it, it's alpha software and it's slow in places. But the core idea, that your context is the foundation and agents build out from there, is right, and that's worth seeing early. Watch http://youtube.com/watch?v=_jGSgzBkzrY Curious what you think

People are often surprised to hear that my podcast (2M+ listens/month) is literally just me and one producer + freelance editors. You don't need a lot of people to make videos, you need a system, curiosity, desire, and reps. I've done 790 videos since 2021, so at this point it's second nature. The real trick is I'm not doing this full time. I'm running companies all day, and that's actually where the content comes from. I'm taking notes on what I'm learning as I go, and when something's interesting I tell myself to come back and make something out of it. Or I'm in a meeting with someone sharp and I go "you should come on the podcast." It's not a second job I bolt on, I just made it part of how I already live and work.

Marketing agents are the NEW coding agents. It's code in the cloud that makes decisions off your live business data on a loop. It researches, acts, reads the results, improves, and goes again. Picture an agent that runs your entire Facebook ad account by itself. It researches your customer's pain points, generates on-brand creative, publishes it, kills the losers, scales the winners, and makes more of whatever's working. We show you the EXACT stack. Perplexity to scrape Reddit for real pain points, Nano Banana for on-brand static creative, a vision model to check it against brand guidelines, HeyGen for AI UGC video, all wired into a loop that reads Facebook's data and reacts. Now point it at a business. What are some startup ideas you can point marketing agents to? WordPress runs 43% of the internet. Take the plugins people already pay for, like Yoast, WooCommerce, and WP Forms, and build the AI-first version of each. Examples: Yoast (~$15M ARR) shows you red and green dots and tells you to fix your SEO yourself. The AI version just does it. Proven demand, no AI-native competition, and thousands of site owner pay agenices $1,000 a month and many wish they'd pay less and got more. Coding agents changed who gets to build software. Marketing agents change who gets to grow a company. Full breakdown on @startupideaspod. Thanks to @codyschneider for the sauce. Will break down more marketing agents if people are interested? Just LMK. Watch. http://youtube.com/watch?v=U2hogriGmEw I'm rooting for you and happy growing. I think we've heard a lot about coding agents recently. And we're about to hear a lot more about marketing agents.

M&A is going nuts right now for AI startups. It's Monday at 10:58am and 2 people have already emailed me trying to buy my company, unsolicited. The X timeline is saying the "death of software" and RIP good times, I think there are TONS of buyers to scoop up AI native startups (with EBITDA). Some data: 1. Startups buying other startups jumped 18% in the first half of last year, driven almost entirely by a 30%+ surge in early-stage deals. 2. Private equity is sitting on over $2 trillion in dry powder and competing so hard they're paying about 3 turns of EBITDA more than strategic buyers just to win deals. 3. The market flipped to rewarding profit over growth: in 2021 growth mattered 2.5x more than profitability, and in 2026 a profitable business growing 25% beats one growing 50% while burning cash. This is one of the best times to build there has ever been. Cheap tools, hungry buyers, and insane opportunity to build the AI-native version of things. Anecdotally, based on a lot of people I know, there's a ton of M&A for startups that aren't reliant on Google SEO and built something truly AI-native in hardware, mobile apps, or vertical AI agents. Tune out the doom. Build something worth buying. Keep going.

There's panic right now that AI is eating indie software. I see it differently. For 10+ years you could spin up a few hundred auto-generated pages, rank them, and let Google send you signups for free. Now the answer people used to click your site for sits right inside ChatGPT and Google's AI overviews. If your whole business ran on that one faucet, the water's turning off, and it feels like the end of the world. And I've built a few of these projects, so I feel that darkness too. But let's look at the data. Has it really gotten dark/worse for software founders and indie devs?? Let's look a Stripe Data... New companies on Stripe Atlas are up 130% year over year. Companies are hitting $10M ARR within three months of launch at double last year's rate. One in five charges its first customer inside the first month, up from 8% in 2020. Fastest business formation anyone's ever recorded!! And the solopreneurs, the exact people saying they're getting crushed, are winning the most. 63% of new companies on Atlas are solo founded, and AI native solo startups pull 2.3x the revenue by month 24. This category was basically non existent at the scale we're seeing rn like 5 years ago. TLDR; So my thinking it's a channel shift wearing a collapse costume. The people hurting share one setup: they sell inexpensive tools to other indie hackers, and/or their traffic comes from SEO. That's the most exposed spot in the whole market, because your customers can rebuild your $20 SaaS in a weekend, and your traffic source is the exact thing the models replaced. Kinda feels like 2 cannons pointed at one little boat. Call me an optimist, but here's my take.... Building software is a bigger game than it's ever been. More companies, forming faster, making money sooner, run by fewer people, than any point in history.

RT jack the team did a great job at bringing this all together. and moving fast!

I think the most interesting thing about Jack Dorsey's "Slack killer" is the idea around shared compute. I haven't seen people talk about it so here are my thoughts FWIW: Open models got good, close enough to the paid frontier stuff to run for real. But the strongest ones need expensive hardware most people probably won't buy alone, and it's kinda a pain to set up if you aren't technical. Shared compute solves exactly that. In Buzz, one person runs the machine, loads up an open model like Google Gemma, and everyone in the community plugs into that same model. Basically, a whole group has real AI they own and control together, running on their own hardware, learning from their own data. Once you see it, a bunch of things click into place. 1. A community can now run a top open model together, on a machine they own, instead of renting from a lab. 2. It learns from the group's private data and gets sharper over time, and all of that stays inside the community. 3. A narrow, private model can quietly get better than ChatGPT for the one world your group lives in. 4. It's impossible to copy, because the edge is the private data on your machine, not the model itself. 5. The moat stops being how smart your AI is and becomes whose data it learned from. 6. Compute becomes something you share like a building shares a gym. 10 people split one machine instead of 10 people each renting forever. 7. Idle compute becomes income!!! Your machine sits dead half the day, so it earns money renting that time to someone who needs it. 8. Communities become the unit of intelligence instead of companies. The group with the smartest shared brain wins, and being a member means owning a piece of it. 9. A shared brain becomes an asset you build equity in. You put in money and data, it appreciates, and your slice is worth something the day you leave. 10. The whole thing runs on open protocols, so the group keeps full control and nobody outside can throttle it or shut it off. You know...

Are you an Opus 5 person or a Fable 5 person?

If your whole workflow is one Claude Code instance on your MacBook, you're leaving 10x on the table. Here's why. On your laptop, running 2 agents at once means two copies of your code, and you're constantly fighting over which worktree you're on and whether everything's synced. It caps out fast. Cloud agents in VMs let you run as many as you want without worrying about any of that. Each one gets its own machine, so the work never collides. Spin up 10, let them all run, and nothing steps on anything else. Watch full ep below on @startupideaspod. Thanks to @ryancarson for sharing the sauce. http://youtube.com/watch?v=vJEy3nP2_C8 Cloud agents are probably the future. So is doing half your work from your phone, which sounds insane until you try it once. Then you don't go back.

My favorite detail from the Opus 5 launch: they gave it a drawing of a machine part but blocked it from viewing the image. So it wrote its own computer vision code to read the raw pixels, then built the 3D model anyway. Nice to meet you Opus 5. Almost as smart as Fable, half the price.

OpenAI launched voice control for Codex on desktop yesterday and it still isn't the thing I actually want. I wish I could FaceTime with my Claude Code or Codex or Grok or Gemini. Right now I send a prompt, wait 5 minutes, and then I look at what it built and realize that's not quite what I wanted. Half the time I didn't know what I wanted until I saw it. That's how the best work happens with people, you're in it together, reacting in real time and jamming. The models can already see, hear, and act on my machine. Somebody just has to put all three in one window. Truly collaborative in the same way that Figma changed design. Before Figma, you'd mock something up, export it, send it over, wait for notes, and make changes. Then multiplayer showed up and suddenly you were in the file together, cursors moving around, fixing things while someone talked. Nobody went back. That's the moment building with AI is waiting for. At least I am. And I don't think it's just me. I'd call this feature "jamming". Whoever does this (frontier lab or startup) will make billions.

16 things that will be normal in 3 years and sound insane today 1. Somebody's entire job is making sure your agents don't do dumb things. 2. Kids grow up assuming any adult who types is old, the way we assume anyone who prints emails is old. 3. You get an itemized bill for what your agents bought last month and it reads like an expense report from a small company. 4. Someone you've never met sells you a business that runs itself, and you never learn what the code does. 5. Your doctor's first opinion comes from a model, and the human's job is deciding whether to trust it. 6. Job posts will say "must be able to manage agents" the same way they used to say "proficient in Excel." 7. The best-paid person at a company will be whoever's best at explaining the business to machines. 8. Your company has more agents than employees, and HR manages both. 9. Companies start hiding how few employees they have, because a lean team reads as fragile to enterprise buyers. 10. Your calendar fills with meetings you didn't schedule, because your agent and their agent worked it out. 11. The CV dies and gets replaced by a body of work an agent can verify in 4 seconds. 12. You interview an agent before you hire it. Give it a fake task, watch how it handles the weird cases, then decide. 13. Losing your job means losing your agents too, and it's kinda scary losing your best agents. 14. "Made by a person" becomes a label on products, and there's a certification body for it. 15. You'll have a folder of agents the way you have a folder of apps 16. Getting a human on the phone becomes a paid tier, and people gladly pay it.

I'm livestreaming, ask me anything. Literally anything. AI agents, life, startups, feedback on anything. I'll also be sharing the most interesting takes on X. Say hello below! https://x.com/i/broadcasts/1yGBeeoDNgMKN

Reply with anything you want feedback on, business or personal, and I'll answer as many as I can live tomorrow July 22nd around 9:45a EST. It could be feedback on your startup, a tough decision, an AI question, you tell me. Last time 5000 people tuned in. What's on your mind?

So let me get this straight.... 1. Agents are about to outnumber humans on the internet, so most of the traffic, transactions, and conversations online will soon be machines talking to other machines while we sleep. 2. Superintelligence exists now, and for $20/mo you pretty much get it all. 3. Cloud agents allow you to run a business 24/7 and from literally a phone while you're waiting to order a latte. 4. Voice AI is wide open. This industry has barely changed since the 90s. Infinite opportunities. Voice AI is finally getting good enough. 5. Mobile apps are interesting again for the first time in 10 years, because an AI-first app that thinks and acts on its own is a different species than the passive ones in the store today. There are kids doing $100k/MRR. 6. It's the golden age of open source. The models you download off Hugging Face for free and own forever are landing within months of the ones behind paywalls, so the smartest thing on earth can't be throttled, priced up, or shut off by a company having a bad quarter. 7. The keyboard is on its way out. We spent 40 years learning to type fast, and it's about to feel like handwriting, because soon you just talk and the computer goes and does it. 8. Every company is about to hire agents with their own logins, their own inboxes, their own track records, and a shadow economy is forming where agents pay, hire, and vouch for other agents. 9. Software stopped being something you buy and became something you rent by the hour. The whole industry is repricing from $50 a seat to thousands per outcome. Tons of opportunity. 10. Robots are about to have the moment software agents just had. The intelligence got solved. Now it's dropping into machines with arms and legs, and the people who can wire AI into hardware are about to be the most fought-over hires on earth. 11. The 10-person startup can now out-ship the 500-person company, and everyone can feel it happening. 12. Every white-collar task is getting a "do it fo...

RT vas Broke down AI Forward Deployed Engineering and why the biggest unlock for enterprises in the AI age. Give it a listen and let me know what you think. Will make more content like it if people find it helpful. Thank you Greg for having me on!

How to become a $1M forward-deployed engineer (FDE) in 30 days (and what FDE clearly means): - What an FDE is and why the role EXPLODED - The 3 stages of the job (business reality, judgment, building) - The exact 30 day roadmap to become one - What the top roles actually pay

If you know how to use Hermes, you know more about AI than 99.9% of people on this planet

Once you get used to using voice-to-text AI to get your computer to do things, typing on a keyboard feels kinda painful.

The thing I'm learning about business nowadays: to survive, you need to constantly reorient. You used to build a business, hit product-market fit, and then kind of coast. Now you hit PMF and the ground shifts 3 months later. New AI models, new algorithms, new tools that change what's possible. So you reorient, and reorient again, it's pretty constant. I'm noticing even companies doing $100M to $1B in revenue are sweating these days. They feel it too. But the cool part is if you reorient right, you get rewarded massively. That's kinda the trade. The stability is gone, but so is the ceiling. I've been reorienting my own companies more this year than in the last five combined. And weirdly, it's the most alive I've felt building. It's a good time to be a founder if you can move on a dime. For the experimenters out there, the people who actually like the constant change... I think this has gotta be the greatest time to be building there's ever been.

Every AI right now is a "yes man", and I'm soooo tired of it. Maybe you are too. I don't want an LLM that claps for everything I do. I want the one that tells me my writing is weak, my logic falls apart halfway through, and I've been lying to myself about the thing I keep dodging. You can engineer an AI with a spine. Here's the exact setup I use: 1. Write a "critic" skill. A markdown file whose only job is to attack the work. It hunts for the weakest claim, the dodged question, the thing you're avoiding. Every agent that loads it gets a spine by default. 2. Run two agents against each other. One builds, one tears it apart. The builder has to defend or fix. You get the truth from the friction instead of from a single agent trying to please you. 3. Score against evals. Give it a rubric with real criteria and have it rate the work 1-10 on each. A number tied to a standard forces honesty that "what do you think?" will always dance around. 4. Make it cite evidence for every criticism. Set a rule: no critique without a concrete example from the work and a reason it matters. It has to show its work, so it can flatter you or hand wave. 5. Give it a kill criterion. Tell it the exact condition where it has to recommend you stop entirely. "If X isn't true, tell me to shut this down." Most agents will optimize a doomed idea forever because you gave them permission to call it dead. I've learned that the default AI claps for you. That's cool for a bit but it gets old quick. If you actually want to build exceptional products, create top 1% work, and grow as a person, you need an AI that pushes you harder than it flatters you. We're in the age of agency. The people who win are the ones who go build the version that tells them the truth. Best time to build there's ever been. Go get 'em.

I'm still astonished that 12 months ago most engineers wrote code by hand, and now most code is AI-generated. Makes you wonder what's normal today that's gone by next year.

We are LIVE Chatting AI agents and answering your questions from yesterday's post. Also breaking down the 8 best AI/startup tweets on the timeline right now. https://x.com/i/broadcasts/1aKbddzgEeRJX

My friend Corey makes $1,000/hour doing the simplest AI business I've seen all year. Only 5% of businesses use AI beyond ChatGPT, the other 95% need you. He sits with a small business owner for 45 minutes, finds where they lose 5-10 hours a week, and prescribes off-the-shelf AI tools that fix it. He charges $999 for that assessment. He's a doctor writing prescriptions. The tools already exist. He just knows which ones. Everyone wins. 50% of his clients then hire him to implement it, and that's where the $1,000/hour work comes from. Corey came on the podcast @startupideaspod and gave away a full course for free. Like actually the full way you can copy his system and run it yourself on your own: - The exact offer (with a money-back guarantee that makes it a no-brainer) - The 4-phase system to deliver it - A template you can download and use today - 6 things to upsell after the assessment - 7 ways to get clients with zero audience and zero capital Even if you never start this exact business, watching @coreyganim break it down will get your brain working on your own productized AI service. That's the real reason to press play. Link: http://youtube.com/watch?v=dhbcVxYhWaQ Or watch below (1hr course) Yeah, I know it's an hour. But if you're serious about startup ideas in the AI age right now, this is one of the most useful hours you'll spend all week. Corey holds nothing back. I love this era. A laptop, a few conversations, and a real business. Go get it.

"If something is free, you are the product"

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