I built /graphify, 26 days, 450k+ downloads, ~40k stars. Here’s what I didn’t expect.

On April 5th I shipped a Claude Code skill called graphify. Type /graphify . and it reads every file in your repo, builds a knowledge graph with Leiden community detection, and gives Claude persistent memory of your entire codebase. 71x fewer tokens per query vs reading raw files. 26 days later: 450k+ PyPI downloads, \~40k GitHub stars, GitHub global rank #2 (first week), Medium articles, YouTube tutorials, people building on top of it I’ve never talked to. What caught me off guard: people aren’t just using it for code. They’re dropping SQL schemas, Obsidian vaults, research paper corpora, transcribed meeting recordings, even whiteboard photos into it and querying across all of it. The /graphify query "..." command became the main thing. Two questions for this community: 1. How are you actually using it? What’s the weirdest or most useful thing you’ve thrown at it? 2. What’s missing or broken in your workflow?