WebAssembly Runtime for Python, Lua, Ruby and etc.

Hacker News

This is a WebAssembly-based online code editor that allows you to run languages like Python, Lua, and Ruby online. You can run code and validate ideas anytime, anywhere, on any device, and generate shareable links for readers to view the results. The code runs directly in the browser, so there are no network delays other than the initial loading of WASM resources, resulting in instant output. It's secure, efficient, and environmentally friendly. Furthermore, it can be cached locally as a Progressive Web Application (PWA) for use even without an internet connection. In addition, this project provides an NPM package and ES6 external module links. Everyone can load the project’s WASM resources to run the code online.

Visit product View on Hacker NewsDec 26, 2025

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Actual performance

3points

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Did not reach leaderboard

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

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

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

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

nativeThis product was originally launched on this platform.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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