All activity
grep was built in 1973. It finds text, not meaning. When you search for "authentication logic" but the code is named handleUserSession, grep fails.
grepai uses vector embeddings to understand code semantically. Search by WHAT code does, not what it's called. Built for AI agents like Claude Code and Cursor, find relevant code instantly instead of browsing hundreds of files.
Features:
• Semantic search with natural language
• Call graph tracing
• 100% local
• Real-time file watching
grepaigrep for the AI era
Yoan Bernabeustarted a discussion
How do your AI coding agents find the right files?
Hey hunters! 👋 If you use AI coding agents (Cursor, Claude Code, Windsurf...), you've probably noticed this: The agent is smart, but it struggles to find the RIGHT files in your codebase. It greps for exact keywords, misses context, and sometimes hallucinates file paths. The problem: traditional search tools (grep, ripgrep) weren't built for agents. They need exact matches, but agents think in...
Yoan Bernabeuleft a comment
Hey Product Hunt! 👋 I'm Yoan, a French developer and YouTuber. I built grepai as an open-source side project, and my community absolutely crushed my expectations. THE STORY: I challenged my YouTube community to help reach 300 GitHub stars. They didn't just meet it — they CRUSHED it with 750+ stars. A few days ago, I shared grepai on Reddit's r/ClaudeAI, and it hit 279k views. The response has...
grepaigrep for the AI era