Hi HN, I built Request Hunt to solve a problem I kept running into: figuring out what users actually want.

The idea is simple - aggregate feature requests from Reddit, GitHub Issues, and X into one searchable database. Instead of manually scrolling through subreddits or GitHub issues, you can search a topic and see real user pain points.

How it works:

- Scrapes feature requests from Reddit, GitHub, and X - AI extracts and categorizes the actual feature being requested - Search by topic (e.g., "Notion", "dark mode", "offline support") - Filter by platform, category, or recency

Also built an MCP server so you can query user feedback directly from Cursor or Claude Desktop while coding.

Free tier available. Happy to answer questions.