17 Interest Score
6 Discussions
0.35 Engagement
Dec 2025 Launched
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GREB - Intelligent code search via MCP for AI coding assistants. Works with Claude Code, Cursor, Windsurf, Cheetah AI and pretty much any coding agent which supports MCP's. Find code instantly using natural language queries. Better and faster than RAG. No Indexing Required. Powered by Cerebras ultra fast inference and GPU acceleration. Just add MCP config and let the agent do the work.

What the Community Said

How this started - We were working on a vector based RAG system for our Coding agent Cheetah AI (we were trying to make a context engine like augment code) , There we found that Indexing the entire codebase and retreving chunks is a pain in the ass and other approach that agents take with grep, the problem is that half time agent was taking on greps while working on large codebases. So we decided to take a different approach with greb - We tried to run multiple parallel grep calls and paired tha

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GREB looks like a promising product can't wait to see it's impact. congratss onn the launch guys. Goodd luck!

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Awesome stuff, was looking for something like this, Is it like windsurf fast context?

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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