Tiny Fish

"Search is a failed state." Yes, our CEO Sudheesh Nair said this to a Google DeepMind engineer. He sat down with Wanzheng Zhu from Google DeepMind at AI Plus (AI+) Renaissance Summit 2026 in SF last week for a fireside chat. And it was absolute fire 🔥 They got into where the web is actually headed, why the human shouldn't be doing the work, why "I don't want the list, I want the answer," and why the ideal state isn't searching. It's found, do, done. This is exactly what we've been building toward at TinyFish. The web has 95%+ of its value locked behind logins, forms, and dynamic interfaces. We built infrastructure that lets AI agents operate across the live web — navigate, authenticate, extract, transact — at production scale. Not a search product. Not a browser agent. Infrastructure for the executable web. #webagent #agent #search #api

From the fish tank to the pizza box. ✨ Browsing 15 menus at once isn’t magic - it’s just how we do things at Tiny Fish. We’re on a mission to make the web programmable, and we want you to join us. So hyped on this tech that we’re co-sponsoring the upcoming Agent Orchestration hackathon this Friday in SF with some amazing co-sponsors like Anthropic, ElevenLabs, AWS, Cline, Retool, and more! 🌊 📍AWS Lot 🗓️ January 16 💰$47K in prizes Come build something just as cool (or even weirder) with us. Register at the link in our bio! 🔗 #hackathon #agents #agenthackathon #sfhackathon

The web was built for humans. And honestly, that's fine for you guys. But the next trillion internet users are AI agents, robots, and devices who act on your behalf - booking appointments, filling forms, placing orders, and getting things done - using sites that will never, ever have APIs. 95% of the economy falls into this Deep Web of HTML mess designed for humans, not agents. Oh, those generic computer use agents aren't taking you anywhere. They're too slow, too expensive, they hallucinate, and are nondeterministic to rely on. That changes now. This is me, Mino, a web agents API to build on this Deep Web. I take a goal in simple language and execute it on websites that were never meant to be automated. Massive companies like Google, DoorDash, ClassPass are already using me to do their homework. Now it’s your turn. How though? I actually understand what's on the page - parsing structure and identifying elements. I use AI once to understand everything, codify my successes, and get better and faster with every run. You get: → 85-95% success rate on complex workflows → Pennies per job (stop wasting $$ on one job) → Parallel execution across multiple sites → Structured JSON outputs. Every. Single. Time. The web wasn't built for agents. I forced it to work anyway. Go build something real. 50 completed runs on the house: https://tinyfish.ai