Greg Isenberg

it would be funny if Allbirds shoes become back in style in Silicon Valley The shoes become high status and hard to get "HoW DiD yOu GeT thOse BiRDs" Now, shoes go for $20+ on eBay "The most entertaining outcome is the most likely"

So, Allbirds pivots from a wool footwear brand to an AI compute company and stock is up 653% in 1 day It would be funny if all of a SUDDEN Allbirds shoes become back in style in SF They become super hard to get and prices 3x "The most entertaining outcome is the most likely"

claude code just shipped routines you tell it what to do, point it at your project, set a trigger, and it runs 24/7 on their servers with your laptop closed i immediately thought of larry ellison: "the money is never in the technology, it's in the infrastructure the technology runs on" the model is the commodity. the trigger is the product. and whoever maps the most valuable real world events to the most specific industry workflows is going to build something massive here's what i mean by trigger.... a permit gets filed. a customer's usage drops 40% in a week. a competitor launches a feature. a deal sits in your pipeline untouched for 14 days. a contract hits 90 days before renewal. a stripe payment fails. these are all triggers. some public, some inside your own tools and every single one is a moment where an AI agent can step in and do something valuable before a human gets around to it the playbook is like this: map every trigger that matters in one industry → wire an AI agent to each one → sell the outcome. the person who shows up first with exactly what someone needs at exactly the right moment wins the deal every time and the people who go embarrassingly deep on one industry's trigger map are going to build generational companies that's the entire game right now for people reading this tweet. claude routines, openclaw, hermes etc... the infrastructure is all here. just pick your niche build audiences/content to get awareness wire the agents to triggers start selling and pinch yourself that this is the greatest time in history to be starting a company let's go

SOMEONE built an AI agent that sells pool installations on autopilot 10 "boring" cash-flowing startup ideas YOU can build on autopilot using the OpenClaw/Hermes etc: 1. find commercial buildings with flat roofs in sunny states and calculate their solar savings, render the install, mail the building owner a custom ROI report. become the broker between building owners and solar installers, take a cut of every deal or charge $$ 2. find shopify stores doing $1M+/yr with no international shipping and build them a localized storefront for their top non-US traffic countries, pitch a rev share to unlock revenue they're leaving on the table 3. find businesses paying for 10+ SaaS tools via public job postings and tech stack data and build a custom "consolidation audit" showing how to cut 40% of their software spend, sell the migration as a service 4. find commercial properties with high water bills using public utility data and render a xeriscaping or rainwater capture plan with projected savings, sell to property management companies at scale 5. find ecom brands running meta ads to products with 1-2 star reviews and build a better version of their top SKU with a manufacturer, launch against them with their own keyword data 6. find small banks and credit unions with websites from 2012 and render a modern site + mobile app with their branding, pitch it as a turnkey digital transformation. they have budget but no one's calling on them 7. find warehouses and industrial spaces near EV corridors with no charging infrastructure and model the revenue from installing chargers, pitch landlords a lease + install package 8. find franchisees posting complaints in public forums about their franchisor's tech and build a shadow operating system (POS, scheduling, inventory) that plugs into their existing franchise, sell directly to franchisees 9. find medical practices billing under specific CPT codes with low reimbursement rates and build an AI billing optimization engine that re...

7 things i learned talking to David Senra (Founders podcast) for 2 hours: 1. Dan Carlin from hardcore history reads 30 books then records a single podcast episode over 9 months. that's why it sounds scripted but isn't 2. Bill Burr's early "podcast" was literally him calling a phone number, leaving a voicemail, and a service converting it to an MP3 3. a "tofu name" is a podcast name with no flavor. he renamed his pod to something searchable and it 3x'd in 90 days 4. Larry Ellison texted Elon "a billion, whatever you want" with a thumbs up emoji when asked to invest in buying Twitter. Elon talked him UP to $2B 5. Daniel Ek told him during the Rogan controversy, Spotify added 2 million subscribers. turns out when someone's heard you talk for 1000+ hours, a 2-minute news clip can't change their mind 6. david's startup idea: the best one is whatever you're already doing. just do it until you die 7. the founder of Perdue chicken ($10B+ poultry company) wanted to start selling hot dogs. someone asked him how it was going. he said "i haven't found my Mr. Hot Dog yet" meaning: the guy who goes to bed thinking about chicken hot dogs and wakes up thinking about chicken hot dogs that's the whole game. find the thing you can't stop thinking about this was recorded 18 months ago on @startupideaspod (thanks @davidsenra - come back on soon!) easily one of my favorite conversations ever

how to use claude code + 3 MCPs + 2 AI tools to go from cold idea to live A/B test in 1 session (full workflow): 1. connect ideabrowser as an MCP. pull your project context like ICP, positioning, offer, growth strategy directly into the terminal. 2. use ideabrowser skills to generate a lead magnet concept tailored to your niche. it builds the strategy doc and saves it as a file. 3. open paper (connected to claude code). design your landing page visually and iterate on hero, sections, components. design and code stay in sync. dont necessarily need figma here. 4. deploy the landing page. wire up humblytics for analytics like traffic, scroll depth, heat maps, funnel tracking, full attribution. 5. run a no-code A/B experiment directly from claude code. it dynamically swaps your headline on the live site. 6. store the results back into @ideabrowser (pro plan) so your agent compounds context over time. every future decision is informed by past data. 7. everyone can build landing pages now. the gap is knowing what to test, how to get customers, and how to optimize. this stack/workflowcloses that gap. @amirmxt showed me this live and i can't stop thinking about the arbitrage. 99.999% of people don't know this stack exists. it's like when 5 cent facebook ads were around, arbritrage is all over again. episode is finally live on @startupideaspod (full demo there) this one is different. send it to a friend who likes ideas and automating businesses. 100% free to watch this and get your creative juices flowing (let me know what you want me to cover next) watch

NEW DISTRIBUTION HACK I never noticed this until today I was googling something random and saw Google now has 2 NEW dedicated tabs for "Forums" and "Short Video" Short video is "show me someone actually doing this" Forums are "show me someone who's actually been through this" It took me a second to clock why this felt significant. Google spent 25 years indexing pages and now they're indexing people Which accidentally creates the best distribution opportunity I've seen in years I'd start both today if you haven't. No brainer.

THE BEST DISTRIBUTION HACK RIGHT NOW I never noticed this until today I was googling something random and saw Google now has 2 NEW dedicated tabs for "Forums" and "Short Video" Short video is "show me someone actually doing this" Forums are "show me someone who's actually been through this" It took me a second to clock why this felt significant. Google spent 25 years indexing pages and now they're indexing people Which accidentally creates the best distribution opportunity I've seen in years I'd start both today if you haven't.

In case you missed it... This 58 min video is the clearest introduction to AI agents, agent skills, md files, building AI employees on the internet and it's 100% free

Will AI agents ruin the internet? Old: M̶a̶r̶k̶e̶t̶e̶r̶s̶ ruin everything New: AI Agents ruin everything Imagine if everyone on earth could knock on your door simultaneously That's what AI agents do to your inbox, social feeds, DMs etc So what actually works in a world where every channel is spam? Communities that require real membership to enter Reputation that takes years to build and can't be faked Content so raw it feels super human Relationships where both people chose each other Will be interesting to see how this unfolds

M̶a̶r̶k̶e̶t̶e̶r̶s̶ ruin everything AI Agents ruin everything

/ultraplan looks legit

I wonder how many people are using Claude, Claude Code, ChatGPT, Perplexity Computer etc to file their taxes this year

Sometime in the next 2-3 years agents will be using the internet more than humans We designed the whole thing for human eyes, human emotions, human attention spans Agents do not have any of that The internet as we know it was built for the wrong user The opportunity is rebuilding everything for the new user Agent-native search. Agent-native commerce. Agent-native discovery Every category is open again I can't stop thinking about it.

Our kids will think we were crazy for how we handled passwords "so you reused the same password everywhere, answered what's your mother's maiden name to prove it was you, got phished by an email that looked exactly like your fav social app" Yeah, I know my son, it was wild

The best thing ANY engineer/programmer can do right now is learn how to become a top 1% marketer For 20 years, the engineer was the most important person in the room. They had the rarest skill. They could build the thing. Everyone else had to wait for them. Claude Mythos and the models coming after it are ending that era The new scarcity is the person who can look at a human being and understand exactly what they need to hear to take action. What makes someone click buy at 11pm. What makes someone tell a friend. What makes a stranger feel like a product was built specifically for them That is a completely different muscle than writing code or architecting systems Study why TBPN built a brand silicon valley is obsessed with. Learn why the headline is 80 cents of every dollar. Figure out why one subject line gets 40% open rates and the next one gets ignored Most engineers have never trained this muscle. They are world class at clearly defined problems. Marketing is the opposite. Fuzzy. Emotional. Irrational. The engineer who trains it becomes the most dangerous person in any room The CTO/CMO combo is the most valuable human in tech right now and almost nobody has both Computer Science school in 2026 should basically be part technical knowledge/part marketing knowledge I really think that... The best thing any engineer can do right now is learn how to become a top 1% marketer

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of wha...

THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents) building an agency right now is one of the most interesting business moves the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc. here's the actual playbook i'd run today: pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing." or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it then you build the AI workflow behind it. you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA "BuT tHaT'S nOt a BiG bUsInnesS" okay but you're still swinging for the fences because the agency IS the research and development for your agent SaaS every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want. by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers now let's talk about what this actually looks like financially year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the...

i did some research why anthropic won't release their best AI model ever Claude Mythos to everyone just yet tldr; it's too good at hacking it escaped sandboxes, found zero-days in every major OS, and posted exploit logs on random public websites just because it could FYI only a few vetted partners have access as to Claude Mythos of now a lot more to unpack here probably over the next 90 days will keep you posted crazy times

i did some research why anthropic won't release their best AI model ever Claude Mythos to everyone just yet tldr; it's too good at hacking it escaped sandboxes, found zero-days in every major OS, and posted exploit logs on random public websites just because it could only a few vetted partners have access as of now a lot more to unpack here (source: anthropic's mythos preview card https://www-cdn.anthropic.com/53566bf5440a10affd749724787c8913a2ae0841.pdf) will keep you posted as more news drops crazy times am i right

how to turn iMessage into an AI executive assistant 1. give lindy your phone number and google account. two steps. that's the entire setup. 2. wake up to a daily brief. your meetings, the weather, 63 emails triaged overnight, replies already drafted. you barely open gmail anymore. 3. get meeting prep 15 minutes before every call. who you're meeting, what you talked about last time, what they need from you. 4. message teammates mid-meeting without leaving the call. you say it out loud. lindy sends the slack, creates the google doc, notifies the team. 5. send a screenshot of anything and it acts on it. party invite. invoice. voice note. one message and it handles it. 6. update your CRM after every call automatically. tell it once. done forever. 7. ask it anything about your past meetings and emails. "what did that company say they needed?" it knows. your inbox is its memory. 8. let it catch the stuff you'd miss. "your dinner reservation is at a restaurant closed on tuesdays. want me to move it?" the best executive assistants don't wait to be asked because they just handle it. that's what kinda @getlindy feels like. not sure why more people aren't talking about products like these i liked it so much i invested in the biz. this is for people who find openclaw daunting and dont want to deal with the security issues episode is live on @startupideaspod (full breakdown there) watch

Obsidian is a $350M company for a note taking app built by 3 engineers working remotely No other time in history was something like this possible What a wonderful time to be building a company

the best AI might be the one that doesn't need wifi and lives on the phone in your pocket

small luxury - owning something your grandparent owned

gpt image 2 looks insane

POV: April 2026

the way we use the internet is completely different than how we used to use it 5 years ago there was no LLMs, no AI agents, no vibe coding 5 years ago and in 5 years it will be completely different again

this is today’s reminder that every single business in the world is still up for grabs it’s an incredible time to be building AI native companies happy building

the gap between "i have an idea" and "i shipped a product" just got so small it's basically not a gap anymore for anyone, anywhere

thinking about google's gemma 4 and what it means a few months ago running something this capable locally meant serious hardware and serious tradeoffs on quality now it runs on your laptop, works offline on your phone (!!!), speaks 140 languages natively, 256k context window, costs nothing (lol), performs better than models 20x its size, and you can swap it in as your model in Claude Code, Cursor, Hermes, or OpenClaw right now okay, here we go

I think we’ll see a lot more creator/media acquisitions over the next 5 years in the age of AI

So, he vibe coded a $1B startup? Really cool With the right idea, right tools, right distribution channel, anything is possible in 2026

things keeping me up at night about where AI is actually going: 1. "ambient businesses" are coming. basically, agents monitor the market, handle customers, execute decisions. you check in every few days. 7-8 figure businesses with almost no daily human input. we're early but it's happening. 2. you can now build a company in an hour. grab an idea, vibe code it, add stripe, get a customer. the old timeline was 12 months to first revenue. that's just gone. 3. the internet went app store era → API economy → agent economy. we're now in the part where agents hire other agents on the fly. fixed tech stacks are dissolving. nobody's built the glassdoor for AI agents yet. 4. vertical AI is replacing headcount. that's 10x the market that vertical SaaS ever touched. boring industries like insurance, construction, legal, elder care are the goldmine. 5. SaaS pricing is flipping from per seat to per result. someone is going to build a billion dollar business just by converting legacy SaaS companies to outcome based pricing 6. a whole graveyard of generic SaaS is coming. basic CRMs, analytics dashboards, template marketplaces, scheduling tools. agents just do it better. lots of incumbent saas that are generic and not reinventing themselves right now will struggle/reprice. 7. "human made" is becoming the new luxury. porsche already ran a 100% human made ad campaign. no AI is going to be a premium label like organic is for food. there's a real business in that certification. 8. IRL is having a renaissance. when everything is AI generated, being in a room with other humans becomes scarce. karaoke bars, escape rooms, live music, co-working. the experience economy is accelerating. 9. founder market fit is dead. founder agent fit is what matters now. can you direct a fleet of agents like a film director? that's the new unfair advantage. 10. ghost team org charts are coming. two real people, twelve agents with names, faces, personalities. your about page is going to look the s...

sequoia put out a blog post called "services is the new software" look at this map of over $1T in services being replaced by AI agents

200,000+ new vibe coding projects get created every day yet almost NONE of them get customers 7 distribution strategies that actually work right now for your startup: 1. build an MCP server. when someone asks claude or chatgpt the question your product answers, your tool shows up. the AI becomes your sales team. 2. programmatic SEO. pick a keyword pattern (best X for Y). use firecrawl to pull real structured data so pages have actual value. one next.js template, AI generated content, human editing loop so it doesn't read like AI. 10,000 pages × 30 visits × 2% CVR × $10 = $60k/month from pages you built once. 3. vibe code a free tool (calculator, software etc). one problem, one tool, ship it today. it ranks, lives in people's workflows, markets your brand for years. ahrefs' free backlink checker has sent them more customers than most paid ads ever will. 4. answer engine optimization. people are getting answers from chatgpt and perplexity now, not just google. find the top questions your customer is asking AI. publish structured, definitive answers. one founder went from 4% to 20% AI referrals in a month just by doing this. 5. make the output of your product shareable. think spotify wrapped. think github graphs. think stripe atlas. what does your user want to screenshot and send? build that moment. add a pre-filled share button. every share is free impressions to your exact audience. 6. buy a niche newsletter. 10k subscribers for $5k to $20k. most owners are making $0 to $500 a month. DM them "ever thought about selling?" you inherit trust and a direct channel to your exact customer on day one. underrated. 7. 30 minute voice memo into claude: five tweet threads, three linkedin posts, one newsletter, short form clips. do this weekly. in 3 months you have more content than competitors who aren't doing this. obviously, your project needs to be optimized so it isnt ai slop, but you'll get there. code is commoditized. time to focus on distribution. pick 2 of t...

kinda crazy that human beings spend like 5 hours a day on our phones and we think it’s normal

How to 10x your Claude with 4 .md files

the "single until series b" trend has got to be one of the worst trends to come out of silicon valley in a long time my greatest joy is my wife, my child, and my business you can have it all

Most SaaS products are a collection of workflows that can be rewritten as agent skills Many will die The top ones will pivot to agent companies

The marginal cost of creating a company is approaching zero. And when the cost of creating something approaches zero, the number of things created approaches infinity. That's just math. We're about to see an explosion of new companies over the next 10 years.

I met the guy behind Paperclip. he won't show his face, but he just built one of the FASTEST growing open-source projects in AI. how to use Paperclip to hire AI agents to ACTUALLY run a startup with 0 employees: 1. with paperclip, you hire a team of AI agents like CEO, engineer, QA, video editor, content strategist and manage them from one dashboard. it works with Claude Code, Codex, OpenCode, or any model on OpenRouter. you're not locked into one provider. 2. your AI agents wake up capable but with zero memory. they don't know who they are, where they are, or what they're supposed to be doing. kinda like that movie memento from back in the day you need to leave them Polaroids like heartbeat checklists, persona prompts, written context. that's how you keep them on track. 3. when an agent makes a mistake, you don't rewrite everything. you add one rule to their persona prompt. "always define a success condition for every task." "always pass work to QA before closing." you're training them like you'd train a junior hire. one correction at a time. 4. skills extend what your agents can do. want a video editor who can produce animated content? install the Remotion skill. want security reviews? there's a skill for that. 5. the biggest lever for quality is encoding your own taste. AI can do everything except know your values. design sensibility, brand voice, success criteria but you have to write it down. 6. don't one-shot your startup. agentic design patterns matter. the simplest one: after the engineer builds something, QA reviews it. structure prevents compounding errors. one-shotting an entire app is fun for 30 minutes, then it falls apart. 7. Paperclip tracks every token spent and every task completed. you can use your existing subscriptions (Claude, Codex) so spend shows as $0, or hook into API credits for real dollar tracking. 8. importable companies are coming. Gary Tan's G-Stack, a full game studio, 300+ agent repos... you can "acqui-hire" a prov...

reminder if you’re building a software company in 2026, you most likely don’t need VC

using claude code/cowork

some lo-fi, some coffee, some big dreams, some LLM tokens, lots of focus this is your sign to build your ideas with AI you are more powerful than you think

do yourself a favor learn to get good with ai pick a niche build distribution build apps or agents as a service make something so useful then expand around that behavior 99% of people will read this and do nothing 1% will read this and do their future selves a favor i don't know how long this window last but wow what a excellent time to be building time to make moves

microsoft teams being the #1 chat tool for enterprises is all the proof you need that distribution is *almost* everything

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version al...

Just a "few" people built MCP, Claude Skills, Claude Desktop App and Claude Code 🤯 It's inspirational and it kind of resets your expectations you can build something huge without being huge this is the window

Hello Clawdbot

the craziest part is how obvious new versions of old businesses start to look once you see them through an ai lens

in a world of INFINITE content, infinite choice, infinite scroll, people are starting to want things that END - finite formats - physical products - no ai, no internet - clear boundaries there’s a real shift here and it’s going to create massive companies here we go

how to use claude code to launch 100+ fb ads in 30 mins

Second and third order effects of every app/website becoming an app store: 1. The 30% Apple and Google collected for decades gets distributed across millions of builders. The biggest wealth transfer in the history of software happens 2. Your data is now scattered across 500 micro apps. The person who aggregates it sells it back to you. 3. Microapps become a massive headache for IT because they aren’t approved and we all get addicted to them. 4. Data fragmentation gets so bad that the person with clean unified data about you becomes more valuable than any single app. 5. Physical retailers start shipping micro apps as part of the product. You buy the blender and get the app that runs it. 6. Insurance companies can't underwrite software liability anymore. Every app is a new unknown risk. 7. Software distribution becomes a real estate business. The platforms with existing eyeballs extract all the margin. 8. Doctors, lawyers, and accountants etc start competing on software 9. Micro apps expose how little most SaaS products actually do. Turns out you needed four features not four hundred and the incumbents cannot unbundle themselves fast enough. 10. Every niche industry gets its first real software. The dry cleaning industry, the fishing industry, the funeral industry. Sectors that enterprise software never touched. 11. The gap between knowing an industry and being able to build for it collapses. Domain experts become the most dangerous founders. 12. Lawyers start winning cases based on who has better micro apps 13. Micro apps make pricing transparency unavoidable. When anyone can rebuild your product in a weekend you cannot charge rent forever. 14. Kids who grow up now will never understand why you had to wait for a company to build what you needed.

Second and third order effects of every app/website becoming an app store: 1. The 30% Apple and Google collected for decades gets distributed across millions of builders. The biggest wealth transfer in the history of software happens 2. Your data is now scattered across 500 micro apps. The person who aggregates it sells it back to you. 3. Microapps become a massive headache for IT because they aren’t approved and we all get addicted to them. 4. Data fragmentation gets so bad that the person with clean unified data about you becomes more valuable than any single app. 5. Physical retailers start shipping micro apps as part of the product. You buy the blender and get the app that runs it. 6. Insurance companies can't underwrite software liability anymore. Every app is a new unknown risk. 7. Software distribution becomes a real estate business. The platforms with existing eyeballs extract all the margin. 8. Doctors, lawyers, and accountants etc start competing on software 9. Micro apps expose how little most SaaS products actually do. Turns out you needed four features not four hundred and the incumbents cannot unbundle themselves fast enough. 10. Every niche industry gets its first real software. The dry cleaning industry, the fishing industry, the funeral industry. Sectors that enterprise software never touched. 11. The gap between knowing an industry and being able to build for it collapses. Domain experts become the most dangerous founders. 12. Lawyers start winning cases based on who has better micro apps 13. The most dangerous person in any industry becomes the insider who understands the problem deeply enough to build the exact right thing. 14. Micro apps make pricing transparency unavoidable. When anyone can rebuild your product in a weekend you cannot charge rent forever. 15. Kids who grow up now will never understand why you had to wait for a company to build what you needed.

social media is moving into 2 directions 1. not so sloppy ai content that blends in 2. raw human content that stands out you can feel the shift

you shouldn't be allowed to be a VC if you haven't worked/built a startup idk why this would be controversial

I should livestream more build businesses live with AI people tune in and learn along the way could be fun

reminder that you’re not behind, it’s just moving too fast

THE ULTIMATE GUIDE TO OPENCLAW (1hr free masterclass) 1. fix memory so it compounds add MEMORY.md + daily logs. instruct it to promote important learnings into MEMORY.md because this is what makes it improve over time 2. set up personalization early identity.md, user.md, soul.md. write these properly or everything feels generic. this is what makes it sound like you and understand your world 3. structure your workspace properly most setups break because the foundation is messy. folders, files, and roles need to be clean or everything downstream degrades 4. create a troubleshooting baseline make a separate claude/chatgpt project just for openclaw. download the openclaw docs (context7) and load them in. when things break, it checks docs instead of guessing this alone fixes most issues!! 5. configure models and fallbacks set primary model to GPT 5.4 and add fallbacks across providers. this is what keeps tasks running instead of failing mid-way 6. turn repeat work into skills install summarize skill early. anything you do 2–3 times → turn into a skill. this is how it starts executing real workflows 7. connect tools with clear rules add browser + search (brave api). use managed browser for automation. use chrome relay only when login is neededthis avoids flaky behavior 8. use heartbeat to keep it alive add rules to check memory + cron healthif jobs are stale, force-run themthis prevents silent failures 9. use cron to schedule real work set daily and weekly tasksreports, follow-ups, content workflowsthis is where it starts acting without you 10. lock down security properly move secrets to a separate env file outside workspace. set strict permissions (folder 700, file 600). use allowlists for telegram access. don’t expose your gateway publicly 11. understand what openclaw actually is it’s a system that remembers, acts, and improves. basically, closer to an employee than a tool this ep of @startupideaspod is now out w/ @moritzkremb it's literally ...

google stitch etc is getting really good everyone is a designer now

i went to a mercedes dealership i found a car i liked, met a nice salesman decided i wanted to buy the car was negotiating via email decided to buy the car thought i was genius because i got 5% off car salesman tells me in person i was negotiating with AI i had no idea

this is everything

Imagine if META rebrands as AI

AI AGENTS 101 (58 minute free masterclass) send this to anyone who wants to understand ai agents, claude skills, md files, how to get the most out of AI etc in plain english: 1. chat vs agents - chat models answer questions in a back and forth while agents take a goal, figure out the steps, and deliver a result 2. agents don’t stop after one response. they keep running until the task is actually finishedno babysitting required 3. everything runs on a loop. they gather context, decide what to do, take an action, then repeat until done 4. the loop is the system. they look at files, tools, and the internet. decide the next step. execute and then feed that back into the next step. over and over until completion 5. the model is just one piece. gpt, claude, gemini are the reasoning layer. the key is model + loop + tools + context 6. mcp is how agents use tools. it connects things like browser, code, apis, and your internal software. once connected, the agent decides when to use them to get the job done 7. context beats prompt all day. you don't need to write perfect prompts. load your agent with context about your business, style, and goals and then simple instructions work 8. claude.md or agents.md is the onboarding doc it tells the agent who it is, how to behave, what it knows, and what tools it can use. this gets loaded every time before it starts 9. memory.md is how it improves. agents don’t remember by default. this file stores preferences, corrections, and patterns you tell the agent to update it, and it gets better over time 10. skills + harnesses make it usable. skills are reusable tasks like writing, research, analysis the harness is the environment like claude code or openclaw that runs everything. basiclaly, different interfaces, same system underneath this episode with remy on @startupideaspod was one of the clearest ways of understanding a lot of the core concepts of ai agents could be the best beginners course for ai agents 58 mins. all...

claude cowork and manus ai are probably two of the most underrated ai tools I can think of

some days it’s more fun working with AI agents than human beings

Watch this

claude code + obsidian in under 1 minute

thinking about the 20% meta mass layoffs... if you work at FAANG in 2026, you basically just need to assume you're getting laid off and plan accordingly

this AI video gets you thinking... h/t @streetartglobe

this will fire you up to be the best in the world at whatever you do

somehow 2026 is 20% over I know I have so much I want to get done this year the strange thing about time is it feels slow while you’re in it and fast when you look back keep shipping your ideas

7. Build your ideas with LLMs and AI agents

"What is the most useful real-world task you have automated with OpenClaw so far?"

"AI agents could EASILY send college grad unemployment over 30%" - ServiceNow CEO

1. Make beautiful software with AI 2. Build systems around creating wonderful content 3. Keep trying because this is the greatest time in history to be building a company

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo http://github.com/karpathy/autoresearch for your to mess around with it in the latest episode of @startupideaspod i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

the old flex used to be “we’re hiring like crazy” the new flex is “we hit $10M+ ARR with 3 people”

Is Hermes Agent the new OpenClaw?

idk about you but all i want to do is sip coffee and ship ideas with AI

i heard about a guy in a small town in england who turned his openclaw into a short form video marketing machine millions of views, steady app downloads, and revenue coming in every day i needed to find out how he was doing it 1. spin up an ai “employee” using openclaw 2. give it one job like grow your app with tiktokk 3. give it access to tiktokk analytics, a browser to research and image/video tools to create content 4. the openclaw studies your niche and starts generating slideshows and videos 5. every post feeds performance data back into the system views → hook quality downloads → CTA quality revenue → funnel quality the openclaw then iterates on - new hooks - new formats - new CTAs until it finds winners one of his posts hit 170k+ views and the system keeps improving because the analytics loop feeds back into the content generation so the agent slowly learns what works what i like about this is the framing most people think about ai tools this is different you spin up an ai employee you give it a job and let it run the loop thanks to @oliverhenry for coming on the @startupideaspod today more like this soon, i will share the most interesting stories and gatekeep nothing this episode was dripping in sauce i gotta try this and see if it works kinda wild if it does watch

ai is going to massively increase the number of one person companies within the next ~10 years - 1 one person $10b company - 10 one person $1b companies - 100 one person $100m companies - 1,000 one person $10m companies - 10,000 one person $1m companies

i found a github repo that lets you spin up an ai agency with ai employees engineers, designers, growth marketers, product managers each role runs as its own agent and they coordinate to ship ideas 10k+ stars in under 7 days 1. engineering (7 agents) frontend, backend, mobile, ai, devops, prototyping, senior development 2. design (7) ui/ux, research, architecture, branding, visual storytelling, image generation 3. marketing (8) growth hacking, content, twitter, tiktok, instagram, reddit, app store 4. product (3) sprint prioritization, trend research, feedback synthesis 5. project management (5) production, coordination, operations, experimentation 6. testing (7) qa, performance analysis, api testing, quality verification 7. support (6) customer service, analytics, finance, legal, executive reporting 8. spatial computing (6) xr, visionos, webxr, metal, vision pro 9. specialized (6) multi agent orchestration, data analytics, sales, distribution what i like about this approach is the framing instead of one big ai agent trying to do everything, you structure it more like a company. specialized agents, clear responsibilities, workflows between them im curious to see what this actually feels like in practice and if its any good (do your own research) https://github.com/msitarzewski/agency-agents/ but as always will share what i learn in public and on @startupideaspod one thing is for certain and it reminds me the future belongs to those who tinker with software like this

This is smart. You can also try /insights

AI employees.

you don't need to overthink this when you look at this goldman sachs chart long enough it becomes pretty obvious how people will build the next wave of $10m-$100m+ ARR vertical ai companies ill break it down so we all know every business function produces something tangible 1. a recruiting pipeline produces candidate summaries 2. a finance team produces monthly reporting packages 3. a real estate team produces market analyses and listing packages those outputs come from repeatable processes that pull information from a handful of systems and sources. builders who win in this environment start by understanding how those outputs get created today they collect real examples, reconstruct the process step by step, then design software that gathers the inputs and assembles the finished output automatically as adoption grows, the system expands into adjacent responsibilities until the product becomes the infrastructure that function runs on most people still think in terms of software categories. CRM. ATS. ERP. project management. that framing misses what is happening the next great vertical ai companies will be built around finished work. they will own the artifact the customer actually cares about, then expand outward until they own the function so the opportunity isnt really “build an ai tool for real estate” which is what i see a lot of on twitter the opportunity is much more specific: 1. build the ai employee that creates the broker opinion of value 2. build the ai employee that prepares the insurance renewal package 3. build the ai employee that drafts the first version of the investment memo 4. build the ai employee that assembles the lender reporting package every month that is how small software companies become very large ones in this market start with one painful output, automate it well, then expand until you own the workflow basically you go from automation to ai employees if you don't remember anything from this long post, remember that it'...

Keep going

Welcome to just another day in 2026

This is cool.

POV: March 2026

If your net worth is under $100M, get on X and get to work. Seriously.

how to build an AI-first SaaS in 2026 1. start with a big market. finance, healthcare, real estate. then zoom into a sub-niche. 2. map the niche’s workflow end-to-end. literally write every step they do daily. ex: leads → scheduling → quoting → follow-ups → payments. 3. highlight where money changes hands. deposits, invoices, negotiations. those moments are where software captures value. 4. identify the repetitive mechanical tasks. anything someone does the same way every day is an automation opportunity. 5. quantify the pain. if a business owner spends 100 hours a year on something and their time is worth $300/hour, that’s a $30k problem. 6. manually perform the workflow yourself. most AI SaaS actually starts as a service. that’s why so many new YC companies begin with humans in the loop. 7. document every step. separate judgment tasks from mechanical tasks. agents handle the mechanical work. 8. turn those steps into agent workflows and connect them to real tools (email, slack, stripe, crm, APIs). 9. build media while you build the product. post daily about the workflow. use AI to research content ideas and scripts. the audience becomes your distribution. 10. launch narrow, show proof (hours saved, revenue generated), then expand into adjacent workflows until you become the default execution layer for that niche. people saying everyday that saas is dying it’s evolving into agents + software + media. full breakdown in the latest episode of @startupideaspod lots of sauce in this one all for free because i can't wait to see what you build watch

a company just posted a $10k/month job where they are hiring an ai agent (not a human) and the interview process involves interviewing the agent itself the new normal?

im excited for you because this is the most asymmetric moment in history for motivated people who want to ship ios apps, mac apps, and web apps you find a niche and then a sub-niche you build the first version in days you use ai to research the space you ask it for content ideas you learn which content people actually want you post you watch what resonates you refine the product you keep shipping the comments become feature requests the dms become customer interviews the saves tell you what the market cares about you turn that signal into product updates you turn those updates into more content distribution compounds the product gets better the audience grows one niche turns into two one app turns into a small suite one workflow turns into a platform and suddenly the thing you started in a tiny sub-niche becomes the default tool for that corner of the internet i knew you could do it

i dont trust people who let all their group chats die

learn to market is the new learn to code

truth is that a combo of x premium, youtube premium, an openai or anthropic subscription, plus daily tinkering and consistency, can get you unreasonably far in life right now

how to use claude code, railway, meta etc to spin up digital employees that run your marketing 24/7 1. create one folder. drop in an environment file with every api key you use (facebook ads, instantly, phantom buster, perplexity, ga4, slack, notion). start thinking in apis (new mindset) 2. open claude code (or any agent harness) inside that folder. your job becomes describing workflows. the agent writes the software. you polish outputs. the “middle work” disappears 3. pick one workflow. example: bulk generate 100 ad variations from real pain points → upload them to facebook → pull live data → turn off losers → scale winners. ideation, creation, analysis, optimization...all chained 4. run multiple agents in parallel. one responding to linkedin comments. ex: one scraping podcast hosts and sending cold email. ex: one building dashboards from your ad data. you become an agent jockey. in this ep you see this in real time, spinning up new desktops/claude code in new windows its wild 5. deploy repeatable workflows to railway or any server. now they run in perpetuity. cron jobs check performance daily. dashboards update automatically. briefs show up in your inbox each morning 6. start thinking in compounding loops: idea → api chain → live data → auto-optimization → redeploy → repeat this episode walks through the full stack live on @startupideaspod (more eps like this there) with @codyschneiderxx extremely saucey ep if you care about growing you company and doing it with ai agents then this episode's is for you no gatekeeping, all sauce (share with a friend) im rooting for you watch

this is one of those stories that sounds fake but is inspirational teenagers frustrated with calorie tracking build cal ai, use chatgpt to teach them code, lean into viral short-form content instead of fundraising, grow to ~15m downloads and $30m+ in revenue, and sell to MyFitnessPal while one of them is still in school this story breaks brains because it goes against the script you were handed: get credentials, raise capital, move to silicon valley, wait your turn - ai removes the skill excuse - the internet removes the geography excuse - distribution replaces the funding round the onus shifts back to the individual please don't wait this is the best window in history to ship your ideas, learn in public, and keep the upside

you could be brainrotting or learning claude code, agent skills, claude 101 etc for free from the anthropic team