An AI agent scans Reddit, Twitter, and Hacker News for user complaints. When it finds a problem that can be solved with a simple web app - it builds one, deploys it and ships it. All automatically.
The agent monitors Reddit, Twitter, HN, Product Hunt, and Indie Hackers for real user complaints. Keyword detection + AI semantic classification finds buildable problems.
When a complaint scores high enough (engagement + feasibility + clarity), the agent writes a spec, designs the UI, generates code with Claude, and deploys to Vercel. Full stack, zero manual steps.
Every MVP gets its own subdomain, GitHub repo, Google Search Console indexing, and a ready-to-post reply for the original complaint thread.
Each one started as a complaint on the internet. Each one is now a live product.
“I asked the agent to find problems and build solutions. Two days later, it had 4 deployed products with custom domains, GitHub repos, and Google indexing. I didn’t write a single line of code.”
Get a weekly update: what got built, what got rejected, and what the agent is scanning next.
Describe what frustrates you. The agent evaluates every submission and builds solutions for the best ones.