... lives in exactly one place, a chat box. Wherever it can't reach is wherever it can't help. So the problem was never intelligence. It's that your AI has nowhere to work. That's the gap Happycapy Connectors close: a connector is a grant that lets Happycapy

... cheering what the new version actually does differently in daily use. They can't tell you. Not because they're lazy because the gap has become too fine for human eyes to judge. So when Grok 4.6 landed on Happycapy this week, we skipped the human judges entirely. An AI set the exam: three mathematical visualization problems Fourier series, the Lorenz attractor, and the Kakeya needle problem that reached the top of mathematics' honors this year. In two fresh sessions ... ... model living in the same model picker, which ran all six answer files itself. Humans did exactly one job in this pipeline: invigilation. Final score:  90 to 70. The winner also used 15% fewer output tokens (11,702 vs

... month ago, we launched HappyCapy an AI workspace that runs in your browser, no setup required. Today, we hit 10,000 users. More importantly, you told us exactly what to fix. What we shipped based on your feedback In 30 days, we made 6 major improvements based on 100+ user reports: System stability  Long-running tasks no longer timeout Automation reliability  Works even after closing browser (server-side scheduling) Mobile optimization  Better experience on phones ... ... campaign posting every 2 hours across multiple platforms. She pushed it so hard she got banned, documented the limits, and optimized her workflow. What's next The most requested feature:  "Can we share workflows and co-create inside HappyCapy

... users got temporarily banned from a social media platform. Not because she posted spam. Not because she broke rules. Because she automated her posting workflow so aggressively that the platform thought she was a bot. She was using Happycapy to post every 2 hours across multiple platforms. Content generation, scheduling, posting, all on autopilot. The system worked so well she forgot to check if platforms had rate limits. One platform said "nope" and banned her for 10 hours. Her response ... ... didn't give up. She studied the platform's rules. Documented the rate limits locally. Adjusted her automation timing. And kept going. Now she manages multiple campaigns simultaneously. "Eyes closed" confidence, she told us. This is what we built Happycapy

... Aravind's post yesterday about Perplexity's new computer. Got me thinking: we launched Happycapy - the 1st agent-native computer here on Feb 11 (beta was Jan 27). Grateful @rajiv_ayyangar and the PH community witnessed it from the start. Not trying to claim we're better. Just wild how we both arrived at the same conclusion independently. The insight: Agents need their own computer (independent environment) Running 24/7. Not locked to a single model. Back when Claude Code skill ... ... Each one is specialized. The computer's job is conducting them like a symphony. This is the future. Not better apps. A smarter computer. What we learned shipping first One user canceled 23 SaaS subscriptions after a week with Happycapy

... huge number of people who could benefit from it. So we asked: what if your browser was the computer? What if you could just open a tab and have a full agent-native machine ready to go? That's HappyCapy ( happycapy.ai ). Here's what it actually does: Full cloud sandbox powered by Claude Code with zero setup 150+ AI models accessible from one place Agents that work autonomously around the clock A Skills system where modular AI capabilities are plug ...

... write code in seconds. But somehow we're still the ones doing all the clicking and switching. The AI just sits in a chat window waiting for us to feed it context. That felt backwards. So we built HappyCapy basically a computer where the AI can actually DO stuff, not just tell you what to do. Generate images, edit docs, crunch numbers, build sites. Whatever. You just describe what you need and it handles the tool-hopping ...