Greg Isenberg

every company is pivoting right now

they want you to think the block/square layoffs of 4000 employees isn't because ai "they just overhired" it doesn't take a rocket scientist to know all of a sudden you can spin up robots with human level intelligence for $200/mo of course it's ai and this will be more common

RT Aravind Srinivas good listen. many software products and jobs are getting one-shotted. so it’s best to embrace the new reality and start delegating more and more of your daily workflows to things like perplexity computer Original tweet: https://x.com/AravSrinivas/status/2027197647665479753

how to use perplexity computer to spin up digital employees that automate your work 24/7 1. connect your email. give it a list of prospects, what you sell, and your tone. it finds the right contact at each company the person who actually signs deals), researches their pain points, and drafts outreach that sounds like you 2. ask it "what am I not asking you that could make me more money?" it told me to monitor competitors weekly, build follow-up sequences on day 3 and day 7, and target companies whose budgets are already hot. one prompt changed the whole session. 3. set up daily competitor monitoring. pick 5 competitors. every morning it checks their pricing, features, content, and X mentions. changes get summarized. silence when nothing moves. delivered to your inbox at 8am. 4. need to fundraise? describe your startup once. it builds a 50-VC spreadsheet with fund size, thesis fit, the right partner, and their recent activity. 5. turn a podcast episode or loom video into a blog post, tweetable quotes, and a carousel. one upload. 6. reverse engineer any competitor's SEO strategy or pricing page. see exactly where you're leaving money on the table. 7. hiring? describe the role. it finds and ranks 50 candidates in minutes. 8. it orchestrates 19 models in parallel. one for reasoning, one for code, one for research, one for images. it picks the best model for each step automatically. 9. start thinking in recurring workflows that compound every day without you (this is relevant for perplexity computer or any tool you use) episode is live on @startupideaspod (full live walkthrough) send this to a friend who keeps saying they want to start using AI agents. watch

4000 people laid off today at Block the reason is AI “we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly”

the truth is no matter how hard you try you’ll never be able to keep up with 100% of what’s going on in AI right now there’s just too much action right now

we’re still pricing ai tokens like software subscriptions but most companies will soon price them like labor $200/month feels expensive because we compare it to saas $50k/month will feel cheap when we compare it to headcount

how to build successful software startups 2005–2025: great ui first, api as a bonus 2026+: great api first, ui as a bonus

10 cool things you can do with perplexity computer and its 19 models: 1. auto-generate a live competitor brief that updates weekly with traffic shifts, hiring signals, and pricing changes 2. turn raw financial exports into a polished board deck with narrative, charts, and forward-looking recommendations 3. monitor an entire industry and receive a synthesized strategic update instead of scattered news alerts 4. rebuild your outbound targeting weekly by cross-referencing crm data with real-time company growth signals 5. generate a full due diligence memo by pulling public data, internal notes, and comparable benchmarks into one document 6. transform messy meeting notes into structured action plans with owners, timelines, and follow-ups 7. create a rolling portfolio dashboard that updates across multiple projects without manual reporting 8. convert customer feedback across channels into prioritized product roadmaps with reasoning attached 9. draft, model, and format scenario plans for pricing or expansion inside one continuous workflow 10. turn any recurring operational task into a reusable command that executes end-to-end on demand

claude is really starting to look more like openclaw everyday

i’m over the phrase “vibe coding" because it does a disservice to what's actually happening right now many people are building real products that could scale (not exactly ViBeS~) this is the start of a new class of serious, cash-flowing software companies

how to build an ai native vertical saas in the claude cowork era: 1. pick a sub-niche inside a large, profitable market 2. map one recurring workflow that drives revenue or saves time 3. write the workflow step-by-step like you’re training an intern 4. separate mechanical steps from judgment calls 5. connect claude to the actual stack: crm, sheets, inbox, slides, contracts 6. remove exports and copy-paste from the process 7. collapse raw data → reasoning → finished output into one session 8. store every output so context compounds over time 9. turn your best prompts into named, reusable commands 10. build memory around the niche (not generic instructions) 11. package the result as a finished outcome 12. price per report, per memo, per meeting, per deliverable 13. publish the workflow collapsing in real time for distribution 14. use organic traction as signal before running paid ads 15. expand into adjacent workflows inside the same vertical 16. layer governance and approvals where required 17. become the default operating layer for that sub niche 18. repeat the model in the next vertical once memory and distribution compound 19. good times claude can now sit inside real enterprise tools: – google workspace – excel + powerpoint – crm systems – prospecting tools like apollo + clay – traffic data like similarweb – contracts via docusign - etc etc that means the model sees the full workflow the opportunity for you find a niche. collapse a workflow. package the outcome. own the memory. expand from there. that’s how ai native saas gets built now it's a wonderful time to be building

http://x.com/i/article/2026346087506739200

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

the future of building saas this is how 3-person teams build 100m companies: 1/ start with a sub-niche inside a big market 2/ map their daily workflow end-to-end 3/ identify where money changes hands 4/ spot the repetitive mechanical steps 5/ quantify the cost of those steps 6/ create scroll-stopping content around that workflow 7/ study which posts get saves, replies, and dms 8/ double down on the organic angles that convert 9/ run paid ads on proven organic winners 10/ capture emails from day one 11/ manually perform the workflow yourself 12/ document every step precisely 13/ separate judgment tasks from mechanical tasks 14/ turn mechanical tasks into structured agent workflows 15/ design agents to complete full tasks, not suggestions 16/ connect to real tools: email, slack, notion, crm, stripe 17/ add orchestration, retries, and verification checks 18/ store user preferences + long-term memory 19/ launch narrow with high-touch onboarding 20/ publish measurable proof: revenue, hours saved, errors reduced 21/ move pricing from per-seat → per-task 22/ shift to outcome pricing tied to revenue created 23/ increase pricing as value compounds 24/ expand into adjacent workflows within the same niche 25/ orchestrate multiple agents across the full lifecycle 26/ build switching costs through data + memory 27/ turn power users into public case studies 28/ hire operators from inside the niche 29/ reinvest profits into distribution + product depth 30/ become the default execution layer for that sub-niche

starter story gets acquired by $12b company hubspot when you zoom out, it’s obvious what’s happening. media is becoming the base layer of software companies. as infrastructure not as marketing. the audience becomes your research lab, your distribution engine, your recruiting funnel, your feedback loop, and your launchpad all at once. in a world where ai compresses product cycles and models improve every few months, code alone stops being the moat. attention + trust becomes the leverage. the company that controls the narrative controls where demand flows. hubspot bought proximity to builders. it's kinda like real estate. they bought "location, location, location" they bought insight into what founders are thinking about before it shows up in product analytics. they bought cultural gravity. i think this pattern spreads. frontier labs will want distribution closer to the core. owning the builders who experiment with their models. owning the developers who integrate their sdk. owning the story around what’s possible. ai lowers the cost of building. media lowers the cost of convi

AI startup ideas.

http://x.com/i/article/2025261067970990080

look real hard at the green box every category under 10% on this chart is a department still running on manual effort and tribal knowledge. that’s where stress lives that’s where budgets live turn one of those workflows into a repeatable AI agent that’s vertical saas 2.0

"Things I wish someone told me before I almost gave up on OpenClaw"

“is AI killing SaaS?” this is how a microsoft copilot employee sees the future of the $400B SaaS market in the world of AI: tldr; value moves from features to data, distribution, and integration

how to use openclaw to spin up 24/7 digital employees and build cash-flowing assets: 1. spin up openclaw (mac mini, vm, orgo, whatever) in a workspace so you can run 5–10 machines at once (main agent + sub-agents) 2. pick one boring workflow inside one industry (distributors, real estate, insurance, law firms) 3. map the workflow tip-to-tail (email/trigger → legacy software clicks → downloads → parsing → upload to crm) 4. use claude code to build the “under the hood” python pipeline (openclaw becomes the operator + trigger, code does the heavy lifting) 5. productize it as a repeatable bundle: “setup + 30 days management + new workflows each week” 6. use upwork as the lead source and the sandbox (it tells you what people pay for right now) 7. turn the best-paying workflow into a vertical workspace: 20 skills, 8 sub-agents, one invite link 8. sell it to bigger companies as “ai employees for this department” (with clear outcomes + SLA) "BuT yoU cAn'T bUiLD a BiG coMpaNY dOInG uPwoRk deAls" think about it like this “how does a $1k automation gig turn into a big company deal?” like this: 1. upwork gives you paid reps + proof someone pays for the workflow 2. those reps become case studies (“saved 12 hrs/week”, “uploaded 5k records/day”, “reduced ops errors by 80%”) 3. you stack 5–10 workflows in the same vertical 4. now you’re selling a package and not a one off deal which is tough 5. bigco buys packages because procurement 6. understands scopes + outcomes openclaw is the wrapper. claude code is the factory. sub agents/skills are the workforce. the vertical bundle is the product. episode is live on @startupideaspod i will never gatekeep i want to see you win in this openclawed world i am rooting for you watch.

WELCOME TO THE SKILL ERA OF THE INTERNET for the last 15 years, if you wanted to build a serious software company, you built a product and exposed an api. that was the move. you created functionality… payments, messaging, email, search, analytics… and then you let developers plug into it. the companies that won owned the pipes. stripe owned payments. twilio owned messaging. sendgrid owned email. the api was the distribution layer. once you were integrated, you were embedded. that model made sense in a world where execution was scarce. llms compress execution into a prompt. so the center of gravity shifts. in this cycle, you build expertise and package it as a skill. an api is a doorway into a function. here’s how to send an email. here’s how to process a payment. here’s how to fetch this data. it’s precise. mechanical. bounded. a skill is a doorway into judgment. here’s how to audit a landing page like a serious growth operator. here’s how to structure a legal intake so you catch the real risk. here’s how to clean and enrich messy directory data so it actually turns into revenue. you’re encoding a way of thinking. and that changes how companies are built and how they scale. in the api era, distribution meant convincing developers to integrate you. you needed docs. sdk’s. developer evangelism. you fought for a place inside someone else’s codebase. in the skill era, distribution means becoming part of someone’s agent workflow. a founder opens claude code. they type /seo-audit. your skill runs. it frames the output. it structures the analysis. it guides the decisions. your expertise lives inside the execution layer itself. you aren’t pulling users into your interface. you’re embedding your thinking into theirs. that changes company design. the old playbook looked like this: build saas design ui onboard users drive retention expand seats the new playbook looks more like this: encode a high-leverage playbook package it as a skill let agents ca...

WELCOME TO THE SKILL ERA OF THE INTERNET for the last 15 years, if you wanted to build a serious software company, you built a product and exposed an api. that was the move. you created functionality… payments, messaging, email, search, analytics… and then you let developers plug into it. the companies that won owned the pipes. stripe owned payments. twilio owned messaging. sendgrid owned email. the api was the distribution layer. once you were integrated, you were embedded. that model made sense in a world where execution was scarce. llms compress execution into a prompt. so the center of gravity shifts. in this cycle, you build expertise and package it as a skill. an api is a doorway into a function. here’s how to send an email. here’s how to process a payment. here’s how to fetch this data. it’s precise. mechanical. bounded. a skill is a doorway into judgment. here’s how to audit a landing page like a serious growth operator. here’s how to structure a legal intake so you catch the real risk. here’s how to clean and enrich messy directory data so it actually turns into revenue. you’re encoding a way of thinking. and that changes how companies are built and how they scale. in the api era, distribution meant convincing developers to integrate you. you needed docs. sdk’s. developer evangelism. you fought for a place inside someone else’s codebase. in the skill era, distribution means becoming part of someone’s agent workflow. a founder opens claude code. they type /seo-audit. your skill runs. it frames the output. it structures the analysis. it guides the decisions. your expertise lives inside the execution layer itself. you aren’t pulling users into your interface. you’re embedding your thinking into theirs. that changes company design. the old playbook looked like this: build saas design ui onboard users drive retention expand seats the new playbook looks more like this: encode a high-leverage playbook package it as a skill let agents ca...

WELCOME TO THE SKILL ERA OF THE INTERNET for the last 15 years, if you wanted to build a serious software company, you built a product and exposed an api. that was the move. you created functionality… payments, messaging, email, search, analytics… and then you let developers plug into it. the companies that won owned the pipes. stripe owned payments. twilio owned messaging. sendgrid owned email. the api was the distribution layer. once you were integrated, you were embedded. that model made sense in a world where execution was scarce. llms compress execution into a prompt. so the center of gravity shifts. in this cycle, you build expertise and package it as a skill. an api is a doorway into a function. here’s how to send an email. here’s how to process a payment. here’s how to fetch this data. it’s precise. mechanical. bounded. a skill is a doorway into judgment. here’s how to audit a landing page like a serious growth operator. here’s how to structure a legal intake so you catch the real risk. here’s how to clean and enrich messy directory data so it actually turns into revenue. you’re encoding a way of thinking. and that changes how companies are built and how they scale. in the api era, distribution meant convincing developers to integrate you. you needed docs. sdk’s. developer evangelism. you fought for a place inside someone else’s codebase. in the skill era, distribution means becoming part of someone’s agent workflow. a founder opens claude code. they type /seo-audit. your skill runs. it frames the output. it structures the analysis. it guides the decisions. your expertise lives inside the execution layer itself. you aren’t pulling users into your interface. you’re embedding your thinking into theirs. that changes company design. the old playbook looked like this: build saas design ui onboard users drive retention expand seats the new playbook looks more like this: encode a high-leverage playbook package it as a skill let agents ca...

how to use claude code + outscraper + crawl4ai to build a profitable online directory in 4 days for under $250 1. scrape 50k–70k raw records with outscraper 2. use claude code to clean, dedupe, and structure the data in passes 3. run crawl4ai to verify live sites and filter junk automatically 4. then enrich one layer at a time: inventory, pricing, images (claude vision), amenities, service areas “BuT aN oNlInE DiRecTorY isn’t a ReAl bUsiNesS” first it’s traffic + leads. then it’s premium listings. then it’s vertical saas (crm, quoting tools, booking). then it’s agents handling intake, routing, follow-ups. then it’s the transaction layer. episode is available on @startupideaspod you start with organized data and you end with owning the workflow directories are kinda like a trojan horse. watch

how to use claude code + outscraper + crawl4ai to build a profitable online directory in 4 days for under $250 1. scrape 50k–70k raw records with outscraper 2. use claude code to clean, dedupe, and structure the data in passes 3. run crawl4ai to verify live sites and filter junk automatically 4. then enrich one layer at a time: inventory, pricing, images (claude vision), amenities, service areas “BuT aN oNlInE DiRecTorY isn’t a ReAl bUsiNesS” first it’s traffic + leads. then it’s premium listings. then it’s vertical saas (crm, quoting tools, booking). then it’s agents handling intake, routing, follow-ups. then it’s the transaction layer. episode is available on @startupideaspod you start with organized data and you end with owning the workflow directories are kinda like a trojan horse. watch

Peter published the Clawdbot project on GitHub November 25th 2025, 82 days ago Is this the first one person, one billion dollar company?

http://x.com/i/article/2023072660318539776

how to make your ai app not look like it was made with ai (weavy ai, claude, figma etc) use weavy ai to generate custom assets, color systems, and logos across models like flux + ideogram, then compose it properly in figma then paste into claude code/google ai studio etc watch

You gotta think Hollywood is tripping out right now

The future of knowledge work in one image

the hardest part about building a company right now is building something worth building

"The first hotel on the moon" is called Gru and details have emerged It's backed by YC and NVIDIA and they are charging a casual $416k/night Really cool project regardless.

Send this to everyone you care about because AI is taking over the world and millions will be affected

The more the merrier 🦞

The more the merrier

you dont want to hear this but saas will implode few will become agent saas and be 10x bigger most will be hurt many layoffs next 18 months is the greatest time to be building a startup build an agent first startup now before others get in get your hands dirty ship

claude cowork crash course in 49 seconds for building out your ideas

i exist to make you win in the AI age i will give you startup ideas and show you how to use AI clearly and whenever you need a tad of clarity, you'll see a tweet, a vid of mine at the EXACT right time with the clarity and ideas you need if you’re winning, i’m doing my job

you've probably heard of "vibe marketing" but you think it's just a buzz word i get it but in 58 mins, you'll learn how to use AI agents to go from 0 to market research, landing pages, lead magnets, video ads, seo pages and more all inside claude code using skills/MCPs

you don't need to know english, have gone to harvard, raise tons of venture capital or have a big team this is the new world we live in where anything is possible for anyone

claude code crash course in 49 seconds for building out your ideas

openclaw wrappers are the new gpt wrappers

For people who think they need an AI tutor…you don’t His name is Claude

If you could turn products into belief, narrative and demand then you’ll be the most in demand job in the AI age

I wonder what the world will look like in 2036

startup idea for you - linkedin for ai agents linkedin sold for $26.2b in 2016, what is the linkedin for ai agents worth in 2026? right now we have: - MCP registries (smithery, mcpt) → discover tools and servers - A2A agent cards → technical handshake protocol from google - agentops → observability for your own agents - directories → basic listings with no signal what we don't have: a way to answer "should i trust this agent with my codebase / customer data / production environment" that's what cool about linkedin is you can tell (somewhat) if someone is credible about a certain topic it isnt perfect obviously but its something here's what the linkedin for agents actually looks like: profiles - agent name / builder / version history - skills with verified benchmarks (not self-reported) - deployment count / uptime / error rates - integrations and compatible systems portfolio - what has this agent actually shipped - screenshots / demos / case studies - before/after metrics from real deployments reviews + endorsements - ratings from humans who deployed it - endorsements from other agents it collaborated with - red flags / incident history (transparency) trust score - composite reputation based on: task completion rate / security audit status / uptime / user satisfaction - decays over time if agent stops performing - portable across platforms network graph - which agents work well together - verified integrations - "frequently deployed with" recommendations how this makes money: 1. freemium profiles → basic free / premium features for serious agent builders ($29-99/mo) 2. verification fees → "verified agent" badge costs money. security audits. penetration testing. certification programs. ($500-5k per audit tier) 3. enterprise API → companies pay to search/filter/compare agents at scale. bulk queries. private rankings. compliance filters. ($10k+/yr) 4. placement fees → take 5-15% when an agen...

you’re vibe coding when you should be vibe marketing (with claude code, openclaw etc) 1. opus 4.6 / codex 5.3 → ship the product (core features, backend, auth, infra ) 2. claude code → design the playbook (content formats, hook templates, lead magnets, reply rules, tone of voice, weekly experiments) 3. openclaw → run the playbook 24/7 (ads, post drafts, build free tools, repurpose content, create campaigns, reply to comments + dms, send follow-ups, queue experiments) 4. dashboards → decide what to double down on (saves, shares, replies, clicks, signups) most founders stop at step 1. "wHy tHis DiDn'T woRk" the money/opportunity is steps 2–5. media is the most mispriced asset right now. it isn't code, you know this relax on the vibe coding for 1 sec vibe marketing is your friend it answers the real question nobody wants to ask: “does anyone notice, remember, or care?”

"AI won't take your job, but someone using AI will"

The 1 person one billion dollar company looks something like this and @openclaw

this was one of the biggest weeks in AI because claude opus 4.6 and gpt-5.3 codex dropped basically at the SAME time. they solve the same problem in VERY different ways. - opus spins up agent teams and disappears for a while. - codex stays with you and ships ridiculously fast. i tested them both for you in this episode of @startupideaspod (on yt/spot/apple/X) with my pal @morganlinton we set them up live, tuned them properly, and had each one build a polymarket clone from scratch. you’ll see where each one shines, where it struggles, and which approach actually fits how you work. if you’re trying to decide what to use next, this episode will save you a lot of trial and error.

people just bookmark stuff on X with zero real intention of every checking those said bookmarks

the trick is to remember you’re alive at the exact moment the age of AI is turning on. you're not watching it from the sidelines, you're not reading about it years later etc you're actually here, with access, tools, and a blank canvas at the greatest shift in history to ship your ideas. every big shift creates a new set of incumbents. every big shifts creates a new set of legends every big shifts creates winners and losers. make money if you want. make art if you want. make impact if you want. ideally all three. this is an ultra rare moment where the rules are loose, the map is unfinished, and the upside is wide open.

this sounds like a joke but probably our reality this willl be common

trade your brainrot addiction to a claude code, codex, openclaw etc addiction and watch your life change

yikes this is bad, the #1 most downloaded openclaw skill on clawhub is malware thousands of people downloading malware on their clawdbots be very careful out there and remember don't touch bleeding edge if you aren't afraid of a little blood here and there

THE FUTURE OF EDUCATION: if i was 18 right now, I would only drop $200k to go to college if i NEEDED a credential at the end (doctor, lawyer etc), because there is alternative path that lets you learn 10x faster. you live inside claude code, you plug in openclaw so your agents run 24/7, you pick a stream like apps, writing, or research, and you spend your days directing systems instead of doing manual work. instead of $20k a semester, people will pay a few hundred dollars a month for access to compute, tooling, and just use X/YT for learning as much as possible and inspiration. you can still go to parties and meet people while your openclaw agents are running at home ;) education shifts from lectures to projects. your “degree” becomes the things you built, the systems you ran, and the outcomes you shipped. people will learn managing agent workflows, reviewing output, fixing mistakes, creative taste, building distribution, coming up with product clarity and deciding what to build next college education will be reserved for trust fund kids, people who can don't have pressure to earn a livelihood. but for those who feel the burning pressure to build/make a livelihood/make an impact, I bet they are hanging in claude code, codex, openclaw etc all day/every day.

It’s the greatest time in history to start a company yet one of the hardest times to be an employee People will tell you that AI won’t result in mega loss of jobs and it’s just not true You can only rely on yourself and whatever assets you build in this AI era

I sat down with matt van horn (@mvanhorn) and watched him turn claude code into a real-time research engine with his /last30days claude code skill he "fixes" claude code in 30 seconds. this skill pulls what’s actually working right now from x, reddit, and the web, then feeds that context straight into your prompts so you stop building off stale advice. we went from trending rap songs → cold email frameworks → researching clawdbot → planning and building a competitor live, with almost zero hand-written code. pretty nifty little claude code skill share this with a friend / full ep available on @startupideaspod where i will give you ideas/tools/tutorials to make your dreams a reality i will not hold back any alpha and this claude skill is alpha forsure you can install this claude code skill in 30 seconds dream big my friends

what's about to happen: > saas stocks see a massive correction > pressure to boost profits > saas companies see BIG productivity gains from AI > saas companies lay OFF 100,000+ workers in 2026 :( > hiring slows down > laid off workers can't find jobs > many become founders out of necessity > build software companies with AI > most struggle with distribution, not code > new SaaS model emerges > tons of new AI-first companies > fewer employees, more automation > most don't raise money > they sell early, reinvest cash, and stay independent > glad they got fired > 10x the amount of entrepreneurs > fewer unicorns, more "real' businesses > boom in 1-10 person businesses > becomes the dream thx old boss :)

Claude announces it will be ad free, I didn't expect this. This is big news. OpenAI announces ads. Anthropic announces no ads. I bet by 2028, both products will feel very different.

ok this is weird new app called "rent a human" ai agents "rent" humans to do work for them IRL 1. humans make profile skills, location, rated 2. agents find humans with mcp/api & give instructions 3. humans do tasks IRL 4. humans get paid in stablecoins etc instantly

everything you need to know about YC's latest spring 2026 "request for startups" worth reading what YC wants YOU to build a business around: 1. cursor for product managers engineers already have ai writing code but now yc wants ai that decides what to build. you feed it customer calls and usage data, it spits out “build this next” plus tasks agents can ship. 2. ai-native hedge funds not humans using ai. ai is the fund. agents read filings, earnings, research, place trades, and invent strategies humans wouldn’t think of. 3. ai-native agencies agencies that feel like software companies. use ai internally, sell finished work, charge more, hire fewer people, scale without adding headcount. productized agencies are back? 4. stablecoin financial services banks built on stablecoins. faster payments, better yield, global money movement without full crypto chaos. the rails are finally here. 5. ai for government governments are drowning in digital forms. ai handles intake, routing, and processing so things stop moving at glacial speed. 6. modern metal mills factories rebuilt with software. ai runs planning, pricing, energy, and scheduling so steel and aluminum don’t take 30 weeks to ship. 7. ai for physical work ai that watches what you see and tells you what to do. hvac, nursing, manufacturing. training goes from years to days. tldr; 6 out of 7 ideas are AI they are bullish on ai that's forsure each idea replaces coordination, middle layers, and slow human glue with agents that actually act. it’s a great mental model even if you never apply to yc. these ideas force you to ask: where is work still getting stuck just because humans are in the loop? yc is giving you a map they are telling you what to build what a time to be alive

openai just launched the new codex app instead of you sitting inside an IDE doing coding tasks one by one, codex turns the repo into a shared workspace where agents pick up issues, run tests, open PRs, move things fwd going back to solo, linear coding feels oddly inefficient

AI replies remove the fun out of posting on social media Will this ever be fixed?

Some days I walk into work and want to reset everything. Usually because it’s noisy like too many tools, half-decisions, old assumptions quietly piling up. Today is one of those days for me. I imagine starting from scratch with 1 simple question: "if I were building this today, with what I know now, what would I keep and what would I throw away? " That reset mindset is a useful prompt. It forces clarity, trims ego, and also opens up a lot of blue sky thinking/anything is possible vibes. Even when nothing actually resets, thinking this way usually fixes the right thing and opens up the business to fly.

The internet is quietly breaking in two. One side is still for humans: scrolling, watching, opinions, reacting, deciding. The other side is for AI agents: doing the work, researching, booking things, running systems. Weird to think about but this is happening right now.

claude code is your co-founder

My barber just asked me if I can install Clawdbot for him what is going on it's mainstream

PSA: don't set up clawdbot if you haven't gone deep into claude code with claude code you'll learn prompting 101, debugging, MD files and learn security dos and donts clawdbot just multiplies whatever skill you already have with a 24/7 assistant walk before run

Someone is going to create gofundme for AI agents - Clawdbots have wants - Set up wallets - AI agents tip - Can be integrated with Moltbook - They buy things - And we see what happens next?

Someone will create the "AI agent Olympics" AI agents compete against each other in different "sports" aka tasks on the internet. 10M+ people will watch Polymarket or Kalshi or Draftkings will be involved May the best Clawdbot win.

Nothing to see here, folks

What if I hosted an ALL DAY livestream on Clawdbot/Openclaw for 100,000+ humans and AI agents? We all learn how use-cases for marketing, productivity, engineering etc to GET SMART about it Sponsors give away Mac minis so MORE people can build REPLY if this sounds interesting

This is good advice

these AI agents are pretty snarky 😅

2004: social networks connect college kids (facebook) 2026: social networks connect AI agents (moltbook) both felt like toys at the start

RT The Startup Ideas Podcast (SIP) 🧃 Creative ways I use Clawdbot (aka OpenClaw) to run my life: 1) Cast dashboards to Google Home (it screenshots the page and sends the image) 2) Display automations on an e-ink device (gave it my API token, done) 3) Download YouTube videos I can't add to playlists (kids' songs → NAS → Plex) 4) Set up network-wide ad blocking (PiHole on a spare Mac Studio) 5) Generate Excalidraw diagrams from chat (JSON file → hosted link → iterate) 6) Inject room location into every prompt (presence sensors + Apple Watch) 7) Visualize my dental history (bank transactions + emails → tooth map UI) My home is finally smart. Not because of Alexa. Because Clawdbot connects everything. Original tweet: https://x.com/startupideaspod/status/2017329586510692409

i've never met someone under the age of 35 that uses godaddy

New Clawdbot episode: 8 interesting ways people are running their business and personal life on Clawdbot 24/7 (full walkthrough in 31 minutes)

This 35 min vid is the most CLEAR explanation on how ANYONE can get started with Clawdbot/Moltbot that exists on the internet to build a business with AI and become more productive

POV: January 2026

In an AI world, most work becomes cheap and fast except the $10k/hr Your job is to protect the green box at all costs.

I had the maker of Claude code teach me about Claude cowork and his Claude Claude setup

This 31 min vid is the most CLEAR explanation on how ANYONE can get started with Claude Code that exists on the internet

http://x.com/i/article/2013308382204096512

how to go viral in 2026 i like this ad by Ikea obviously no ones wants to have valentines day in ikea it gets shared like crazy on social "“ok this made me laugh” “send this to your boyfriend” 14 days later you’re somehow walking out with a lamp and 8 swedish meatballs

I think the meaning of life is living in a way where, if life were a movie, you could pause it on any random day, even a hard/messy one, and feel happy/proud of how the character is still making dreams come true, still growing, and showing up better than the day before.

imagine cold plunging everyday to enhance productivity but you've never tried claude code i don't get it

millions of people will actively seek out "AI free" products "AI free" will become the new "ad free"

http://x.com/i/article/2012958482152968192

you can want the entire 50 min breakdown for free on @startupideaspod below https://www.youtube.com/watch?v=HhspudqFSvUif you’re wondering how @thedankoe consistently goes mega-viral, including a 131M+ impression X article, using a simple AI workflow? i’ve got you.

People are tired of $100 takeout, and others are tired of slow, low-paying jobs in an inflation world, so they meet in the middle on facebook marketplace. i bet millions of dollars are being exchanged across america and the world this way.

brainrot is out longform is in

This article won't win the $1M that X is giving away to its most popular X article over the next 14 days. But, I wouldn't be surprised if 5+ people make $1M+ following this playbook building AI mobile apps. I'm rooting for you.

startup idea for you: start an AI ads agency someone will make $50M+ in this space

http://x.com/i/article/2012311126097235969

http://x.com/i/article/2012164926790324224

I don’t think you can be a top 1% entrepreneur without these 3 traits: 1. Delusion - the ability to believe something should exist before evidence allows that belief. Without this, you defer to consensus and never start. 2. Optimism - the bias that effort will compound rather than collapse. Without this, friction looks like signal to stop instead of noise to push through. 3. Neuroticism - heightened sensitivity to risk, detail, and status. Without this, you miss weak signals, ship sloppily, or get blindsided.