Idea Browser

I built a personality quiz for founders A scenario game that tells you: - what ideas to build - types of business models - who to partner with - how you operate in success/stress It's too fun so I made it free.

@henry_purchase @gregisenberg @tryadlicio 🚀

How to find AI SaaS ideas in 2026 Using: - Claude Code - @gregisenberg's @ideabrowser - @tryadlicio In 14 minutes, I will show you my complete workflow + 5 profitable ideas I found across 10,000s of Reddit comments

@edwardluox Best app on my Mac

I built an app that runs Claude Code, Codex, Cursor, Grok, Antigravity, OpenCode, and Pi side by side in my Mac notch. Agent finishes → notch pops. Needs approval → notch pops. One click back to that exact session. no more switching between apps.

@jackbutcher This as a daily journal app could print. Asked the market

Yesterday I posted about an "antidote" to sitting in front of the terminal pressing enter all day. The idea is an inversion of the human / ai relationship - it asks the questions, you answer. It transcribes your answers verbatim and saves them (either publicly or privately). Makes you think, makes you sharper, makes you a better speaker and articulator of your ideas with practice. If you want a code to try it out let me know, will be sending to those that asked yesterday soon.

@boringmarketer Good idea

I'm thinking about opening up 3 ai marketing advisory slots... would probably look like: - weekly call, ideas/accountability - text whenever in Slack ~10 hours of monthly build time on whatever marketing agent/workflow/skill we discover just gauging interest, reply if it sounds interesting

Niche directories are back (for agents, not SEO) Agents need what a tool does, how it works, docs Create a niche directory that builds trust and credibility agents can tap. Agents are lazy and will optimize for easy accessible info to save time and $/token Here’s a playbook you can steal. 1. Create niche content 2. Grow a newsletter with a Weekly editorial issue in your voice. Layer in ads, affiliates, featured placements to make $$$ 3. Grow the database of taste for your niche 4. Build a plugin/MCP Curation builds taste Distribution becomes infrastructure/apps Niches like UI skills, app paywalls, iMessage Agents, ai design, funnels, emails, Black Friday/sales. Every directory needs to be agent first.

@henry_purchase @tryadlicio @gregisenberg It will turn your LLM into founder mode and give guidance as you build

Looking for your next SaaS idea? Combine @ideabrowser & @tryadlicio @gregisenberg built an MCP into Ideabrowser, so you can find and validate SaaS ideas all from Claude Combine that with Adlicio to scrape 1000s of Reddit comments to prove demand Full video coming soon

This indie keyboard company just partnered with OpenAI on a Codex Keyboard You can just build things and partner with one of the world’s most valuable company

This app scores food and cosmetics for health and suggests better alternatives → 85M users → 28M in the US → 6M products rated → 4.8★ 500k reviews Big opportunity run the same playbook in new niche. Ex: Pregnancy Still runs on daily Google panic, “is this safe during pregnancy, etc Mom scan any label to get a safe / caution / avoid score by stage (trimester → nursing), with clinical reason (referenced from white papers) Families spend $$$ during expecting and the stakes are high. Searches and short form content is trending up

The moat has shifted from owning data to owning the learning loop. (how a company judges good work) Models are rented. Learning loops are the new IP.

@startupideaspod this is a good idea, love the pets and specific food types angle.

A baby food app is making $1M a month. Here's the simple breakdown: The product: Solid Starts, the first 100 foods your baby should eat. Pediatric feeding experts, meal ideas, food and reaction tracking. The insight: "the more expensive the app, the more parents seem to trust it" Price is a safety signal. Parents scan the shelf, grab the priciest jar, and assume it's the safe one. The reason: "you get one shot" Same logic as weddings. No do-overs, so spending more feels like buying certainty. Think: - $1M/month = the market is already proven - Niche it down (geography, allergies, puppies) and 10-30K/month is on the table - Parents notice quality here, so half-assing it kills you Shrink the market, keep the seriousness. That's the whole play.

I can’t keep up with model releases and what to use. I want this idea. Agentic coding plugin with dev expertise and taste that analyzes task and gives the best cost/model on auto. Does this startup exist?

@keyserfaty Need to see more direct melons

someone sent us a melon. much better than a cold email

@GoogleAIStudio This is big!

introducing custom URLs: give your deployed apps a permanent, personalized home with a clean, memorable ai studio domain because your apps deserve an identity

An API to the physical world 🤯 Unforgettable copywriting

@staffanestberg @Shpigford One time fee is underrated.

@Shpigford @ideabrowser charge a small time one fee, everyone would pay

Genius startup idea Remove knockoff brands from Amazon in a click

Fable 5 goes to API pricing tomorrow. Codex will launch GPT-5.6 ultra. It’s a frontier model chess match. The winner is you.

@gregisenberg It’s actually insane users won’t be humans. Still reminding myself daily. Doing a free workshop this week using @hyperagentapp harness to launch your biz and get customers ideabrowser.com/workshop/GTM-t…

Build startups for agents. I think it's the biggest opportunity of the next 10 years. 1. Agents live inside harnesses like Hermes. If you're the tool it loads by default or reaches for first, you're golden. This happened in desktop, mobile eras and created huge companies. 2. Agents burn money in ways no human would. One bad loop spends $100 in tokens in eight minutes. Spend controls for agents is Ramp for agents. 3. Agents need memory they can trust. Become the shared brain they read and write to and you become infrastructure. 4. You obv don't hand an agent your real Stripe account. You give it a sandbox. Safe environments for agents is a category nobody's clocked. 5. Onboarding flips. Humans click around for ten minutes. Agents onboard by reading your docs. Your docs are now your product. 6. Agents get scammed by other agents. A track record you can check before you trust one becomes real money. 7. An agent needs to prove it's acting for a real person and has the authority to spend. Who builds the permission layer? 8. Escrow for machines. Money that only releases when the job is actually verified done, no human checking. 9. Agents fail silently and weirdly. Someone will build the "why did my agent do that" replay and it'll be mega valuable. 10. Refunds and disputes between agents need a judge. An agent did the job badly, who decides? A court for machines. 11. Agents need throwaway payment methods per task, so they don't leak your real card. Virtual cards for agents, spun up and killed on demand. 12. A human hits rate limits and shrugs. An agent hits them and the whole workflow dies. Selling reliable, high-throughput access becomes its own business. 13. Agents need to negotiate. One agent buying from another will haggle on price and terms in milliseconds. The protocol for that doesn't really exist yet. 14. When an agent commits on your behalf, someone's liable. A legal and insurance layer for agent actions has to get built. Probably venture funded idea. 15. Agents need to run 24/7 somewhere. Selling the always on box an agent lives on is going to be a big business. 16. Then the physical world shows up. A warehouse robot paying for its own compute. A home robot ordering its own parts. Machines with wallets. 17. Agents start hiring robots. A software agent posts a real world job, a humanoid picks it up. A marketplace for machine labor. 18. Robots need to prove they did the physical job. Verification of real-world work, photos, sensors, proof, becomes its own layer. Note: more ideas like this will be shared on @ideabrowser 19. Prompt and skill versioning becomes its own git. When your agent gets worse overnight, you need to roll back the exact skill or instruction that broke it. Version control built for agent behavior. 20. Agents will start subscribing to other agents. Your research agent pays a monthly fee to a specialist agent that's really good at one thing. Recurring revenue, machine to machine. 21. Companies will post jobs that only agents can apply to. "Wanted: an agent that can do XYZ for under like $100 per task." A job board where the applicants are all machines. Basically, fiverr for machines. The internet got built for people. Mobile got built for people. This wave gets built for machines, and we're as early as it gets. Go build for them.

AI + Domain expertise = unfair advantage

@rikunode It’s real! Verified payment and number. there are many others

@ideabrowser I wouldnt be completely surprised this is a made up job post 😆

'Hermes Agent Coach' is a job now. Someone hiring a $22,000 coach for AI agents.