The MOST obvious (but REALLY good) STARTUP ideas right now: 1. Zestimate for company data (what your data is worth to an AI lab) 2. Google Analytics for agents (see which agents visit your site and what they want) 3. Y Combinator for 1 person companies (back solo founders running a team of agents) 4. Okta for agents (who each agent is and what it's allowed to touch) 5. Marie Kondo for your company's data (clean it up so agents can use it) 6. FICO for agents (a trust score before an agent can spend money) 7. Geico for agents (insurance for when an agent makes an expensive mistake) 8. Datadog for agents (see every step your agents took) 9. Twilio for agents (phone numbers and texting for agents) 10. Upwork for agents (hire an agent for a job instead of a freelancer) 11. ESPN for AI (every model launch covered like a big game). 12. Shutterstock for robot training videos (get paid to film yourself doing chores) 13. Credit Karma for what AI knows about you (see it, fix it, delete it) 14. Norton for AI scams (protect your parents from fake voices and emails) 15. PayPal Buyer Protection for agent purchases (fixes it when your agent buys the wrong thing) 16. Geek Squad for AI (set up personal agents for families and small businesses) 17. Dell for private AI (AI in a box for firms that won't use the cloud) 18. Carfax for used GPUs (a health report before you buy secondhand) 19. Airbnb for idle GPUs (rent out computing power you're not using) 20. Rotten Tomatoes for AI models (real reviews instead of benchmarks) 21. G2 for skills (find the best skills for your agent) 22. Dropbox for your AI memory (take what your agent knows about you to any agent) 23. Canva for physical products (design it with AI and get it made) 24. ADT for your personal agent (alerts when your agent does something it shouldn't) 25. Hertz for robots (rent one for a move, a deep clean or an event) 26. Harvard Business School for internet businesses (a real education in building online) 27. Workday for agents (onboard, manage and offboard your digital workers) 28. Getty Images for your face and voice (license your likeness to AI safely) 29. Meta Muse for older adults (and other high LTV niche) 30. Google Ads for agents (pay to be what the agent recommends) 31. Loom for agents (a walkthrough of everything your agent did) 32. Plaid for agents (approved access to banks, airlines and stores) 33. Jiffy Lube for vibe coded apps (quick fixes when your AI built app breaks) 34. Ancestry for datasets (where your training data came from) 35. The organic label for human-made content (proof a person made it) 36. Strava for builders (track what you ship every week) 37. Honey that haggles for you (your agent negotiates the price) 38. SEM Rush for personal agent platforms (like Muse etc) 39. Frequent flyer miles for agents (loyalty programs built for agents)

Why is nobody talking about this? 👀 Your Grok Bot can make your phone calls for you. And you can try it for FREE 🆓 Connect it to Bland and you get free credits to start. Zero cost to test it. Tell it what you want once: ✅ "Bring my fiber bill back down" ✅ "Get the other $100 back from the spa" ✅ "Get money off my internet bill" ✅ "Cancel the old pet-store autoships" It stays on the line, works the retention desk, and comes back with the money 💰 50 minutes on the phone. NONE of them yours. It costs you nothing to try. Save this and set it up this weekend 🔖 FREE template below 👇

Tried it on a phone call. Grok Bot found my pizza shop's new location and an $8.99 coupon, then called the order in with a @usebland call bot. The video is the real call. @bot #GrokBot #AIagents

The Framer MCP is here. Design, build, and update your site with AI tools like ChatGPT, Claude, Cursor, and Grok. Without giving up Framer’s flexibility, reliability, and control. framer.link/mcp

We're seeing some amazing instances of @bot using bland to make phone calls. Here's just a few *real* use cases we've seen already

pov: trying to keep up with all the personal AI agents releasing ... > @claudeai's Duet > @OpenAI's Dots > @instinct_inc > Meta's @Muse > @bot what else am I missing (which one are you actually using + for what? 😭)

I got a full refund from a "no refunds" swim school without making a single phone call myself. Here's how my @grok @bot fleet handled it 🧵

F your AI b2b SaaS. We just launched Palantir for booking meetings. The last 14 days, companies like @MonacoGTM , @Nowadaysai, @Rippling , @salesforce , @marketercom, @posthog , and @retellai spent $100k+ with us on literal cakes. From today, Daymaker finds your prospects, reads their entire digital footprint, buys the one gift that makes their day, and gets you the meeting. Comment your name and I'll reply with everything Daymaker finds on you and the gift it would send you. If you dare. 🎁

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Today, @agentmail has processed over 1 Billion emails. A year ago, we processed under 20 million. So we figured it was time for AgentMail to grow up a little too :)

Meta Muse will probably create 1000+ millionaires This is the most slept on arbitrage I’ve seen in years and it’s not even close. Here’s how i’d build a 1 person business powered by AI/Muse with with $0 and 0 social following

my unpopular opinion is that ChatGPT apps are the best distribution play rn we spent last month shipping these for agency clients and... +50-200% on income those apps were already doing just you literally get an access to ~900M weekly users for free + you're not struggled with onboarding, since it's built on top of ChatGPT and for user who never used your product, much easier to get in via gpt interface same product, same pricing, just new way of using your product and the fear that OpenAI just clones you is backwards cloning your niche is the ONE move that costs them more than it returns... they'd rather buy you and ship it out of the box here's exactly how to launch it: 1. pick a workflow the client already gets paid for > not a new idea > an existing paid workflow with proven demand 2. build it as an MCP server > streamable HTTP on public HTTPS, usually at /mcp > that server is the whole product surface > UI is optional, tools come first 3. name and describe every tool like the model is reading it, because it is > action-oriented name, a human title, a description of when to use it > accurate annotations and a real input schema > that metadata is what decides whether you get called at all 4. add the UI after the tools already work > expose it as an MCP resource with a ui:// uri > set the type to text/html;profile=mcp-app > your built js gets inlined into that resource and runs in an iframe 5. connect it at chatgpt.com/plugins and break it yourself > plus button, add custom MCP server > paste the url with /mcp, create as a plugin > run MCP Inspector first and catch the schema errors there 6. submit at platform.openai.com/plugins and overprepare > a zip of the built plugin and publisher verification > a privacy policy url, no privacy policy means no review > 5 positive and 3 negative test cases > release notes and a demo video for the reviewer > a domain token hosted at /.well-known/openai-apps-challenge 7. keep billing on YOUR backend > OAuth 2.1 into the account system you already have > enforce authorization on every request, not through the model > there is no revenue share > the plugin is the channel and the MRR stays yours that's absolutely free traffic and by some reason most of products skip it... the guy below is a good case which shows real efficiency of this approach (he literally made around +$40k monthly income)

Just another day in SF