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ArchiMind - ArchiMind analyzes a GitHub repository and produces

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ArchiMind analyzes a GitHub repository and produces: chapter-wise architecture documentation, high-level and low-level Mermaid diagrams, conversational project summary, persistent history for authenticated users.

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Hey Product Hunt community! 👋 We’ve all been there: you open a new GitHub repository, and you’re met with a massive wall of undocumented code. Trying to map out how everything connects, or manually building high-level and low-level architecture diagrams, can take hours—if not days. I built ArchiMind to completely automate this headache. 🧠✨ ArchiMind analyzes any GitHub repository and instantly transforms it into comprehensive, structured system architecture documentation. Here is what you can do with it: Instant Chapter-Wise Docs: Generates clean, deeply structured breakdowns of your code layout. Interactive HLD/LLD Diagrams: Automatically builds visual Mermaid.js flowcharts so you can visualize your entire system architecture at a glance. Smart 2-Tier Retrieval: Powered by LangGraph and LlamaIndex AST CodeSplitter to ensure highly precise code parsing rather than just generic AI summaries. Persistent History: Save your analyzed repositories so you can jump back into your codebase summaries whenever you need them. ArchiMind is live and free to try right now! I would absolutely love to get your feedback, answer any technical questions about the stack (built with Flask, LangGraph, and ChromaDB!), and hear what features you want to see next.

love the idea of letting VCs actually exit without waiting for an acquisition, the polymesh backing adds real credibility. curious how the secondary market for these tokens actually holds up when a startup is still private.

the tokenized equity angle on Polymesh is honestly a smart call, feels like they actually thought through the compliance side instead of just slapping "decentralized" on everything

Would love to see a secondary market order book view with depth charts directly in the dashboard. Right now it's hard to gauge real liquidity beyond the 24/7 claim, and visualizing bid/ask spreads would make the tokenized equity trading feel a lot more transparent before committing capital.

It would be great if you added a simulated portfolio feature where users can test tokenized equity trades with fake money before committing real funds, especially helpful for newcomers trying to understand how startup valuations fluctuate over time.

The tokenized equity angle is genuinely interesting, especially the 24/7 liquidity part since traditional VC has such long lockups. Wish the site had more detail on how secondary market trading actually works in practice.

the tokenized equity concept is pretty cool, especially the 24/7 liquidity angle for VCs. landing page loaded fine but honestly wished there was more detail on the actual trading flow before signing up.

Investing in startups feels way less intimidating when there's actual liquidity built in. Curious to see how the tokenized equity trading works in practice once a few real deals go live.

Would love to see some kind of secondary market price history chart for each tokenized startup so we can track how valuations move over time. Right now it's a bit hard to gauge momentum or spot trends before buying in, basically just guessing. A simple sparkline or longer term chart on each listing would make the whole experience feel way more transparent and help folks make more informed decisions.

The AST-CodeSplitter plus LangGraph retrieval is what makes this more interesting than a generic summarize-my-repo wrapper — parsing real structure instead of flattening everything into embeddings should hold up better on an actual monorepo. When I point it at a private repo, does it clone the whole thing to your backend to run the split, or can I scope it to a subtree? And can I export the generated docs and Mermaid diagrams as markdown/.mmd to commit back into the repo, or do they only live in the persistent history inside your app?

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