This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
ArchiMind
ArchiMind analyzes a GitHub repository and produces
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.
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.
Would love to see a built-in secondary marketplace view that shows live bid/ask spreads for each tokenized round, would make liquidity much more tangible for newcomers comparing opportunities at a glance.
One thing that would honestly help is showing a fee breakdown right on the investment screen, like gas costs, platform fees, and any spread on tokenized equity. Right now it's kind of unclear what you're actually paying for a trade, and that transparency would probably build a lot more trust with folks new to this kind of investing.
Congrats on the launch. One feature I'd love to see is a built-in secondary marketplace filter so I can sort tokenized startups by sector, stage, or minimum check size. Right now browsing raw offerings feels like a lot of digging, and that would make comparing opportunities way easier.
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?
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.
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.
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.
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.
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.
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.
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
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.
About ArchiMind on Product Hunt
“ArchiMind analyzes a GitHub repository and produces”
ArchiMind was submitted on Product Hunt and earned 26 upvotes and 13 comments, placing #18 on the daily leaderboard. 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.
ArchiMind was featured in Productivity (656.6k followers), Artificial Intelligence (474.2k followers), GitHub (41.3k followers) and Tech (628.4k followers) on Product Hunt. Together, these topics include over 447.2k products, making this a competitive space to launch in.
Who hunted ArchiMind?
ArchiMind was hunted by krishnak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ArchiMind stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
krishnak