frontpage.

I kept building things that already existed. Last month I spent 6 hours on a tool before discovering 847 similar repos on GitHub.

So I built an MCP server that checks before your AI starts coding. Install with `uvx idea-reality-mcp`, and Claude/Cursor will automatically scan GitHub + Hacker News for existing implementations before writing a single line.

Returns: reality_signal (0-100), duplicate_likelihood, top 5 similar repos, evidence from multiple sources, and pivot suggestions.

It's a protocol layer, not a SaaS dashboard — the check happens inside your IDE workflow.

Python, MIT licensed, zero config. Would love feedback on the scoring algorithm.

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Off Grid: On-device AI-web browsing, tools, vision, image gen, voice – 3x faster

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