Instantly visualize any codebase as an interactive diagram

Hacker News

GitDiagram is an open-source micro dev-tool that I made this past week Given any public GitHub repository it generates diagrams in Mermaid.js with Claude 3.5 Sonnet I extract information from the file tree and README for details and interactivity (you can click components to be taken to relevant files and directories) Also, you can replace "hub" with "diagram" in any repository URL to access its diagram I created this because I wanted to contribute to open-source projects but quickly realized their codebases are too massive for me to dig through manually, so this helps me get started I do still plan on adding other features like private repository access if that becomes a thing people want This project was heavily inspired by https://gitingest.com/ so make sure to check that out as well! Hopefully this tool can help you and feedback is always welcome!

Visit product View on Hacker NewsDec 27, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, visual, activity · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: visualize, way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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