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).
What if your résumé wasn't a PDF, but a program you could run?
I just shipped MONAD — a compiled identity kernel. A single Rust core, compiled to WebAssembly, exposed through four adapters:
- a browser terminal you can interact with
- your own terminal — one command, no install (npx keshavashiya, via Node's built-in WASI)
- an MCP server — so the AI agents that increasingly screen candidates can query the source of truth directly
- an optional self-hosted HTTP service
It's local-first by design: the kernel is stateless and never phones home — any "memory" of a visit lives only in your own browser. Each build embeds a reproducible SHA-256 of its data, so you can verify the identity you're talking to is exactly the committed source.
Open source (Rust + WASM), runs on any static host. Built in the same local-first, memory-first spirit as my other projects (brain, docify, codesage).
Live console: https://keshavashiya.github.io/m...
Run it yourself: npx keshavashiya
Source: https://github.com/keshavashiya/...
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About monad on Product Hunt
“A compiled identity kernel about one person. ”
monad was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #152 on the daily leaderboard. A compiled identity kernel — a Rust/WASM binary that answers questions about one person, in a terminal. - keshavashiya/monad
monad was featured in Open Source (68.5k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 36.3k products, making this a competitive space to launch in.
Who hunted monad?
monad was hunted by Keshav Ashiya. 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 monad stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Keshav Ashiya