Compile Python libraries for TypeScript with type completion (umo)

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I’ve always wanted a way to use Python’s `networkx` from other languages for years, but crossing languages/runtimes was too brittle and the editing/debugging experience were non-existent. The dream was like having fSharp alongside C#, or in GraalVM world having languages interop without significant overhead. I wanted to explore what a minimal, pleasant developer experience could look like crossing ecosystems, and for portability WASM felt like a good intermediary but until Components there was straightforward way to handle cross-execution state. I also wanted to see if Claude Code + Opus 4.5 can build something non-trivial (not another React app) that hadn’t really been done before Umo is what came out - I recorded a short video that's on github. It only bridges Python modules to Node, gets the libs, extracts types / docs, create wasm components and builds the typescript interfaces/bindings. Had fun seeing this happen, sharing with folks to see

Visit product View on Hacker NewsJan 27, 2026

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

91%91% 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.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: video, way · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% 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.

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