Strudai, browser based agentic wrapper around Strudel

Hacker News

Hi all! Together with a friend (and Claude Code) we built this project for fun. We really liked playing around with it, so decided to put it online. We're self hosting and the app has no back-end so it's pretty cheap. Strudai is a wrapper around Strudel, a live coding environment for making music that runs fully in your browser. Besides the model inference, everything runs client side (bring your own Anthropic/Openrouter key). It allows you to prompt a model which can make (often shitty) music, create some visuals, or play full autonomous live sets (still a bit of a WIP). You can see the code being edited, and can collab with the agent during sets. We are AGPL-3.0 licenced, and source code can be found here: https://github.com/strudai/strudai . We're open to contributions, and all feedback is very welcome :)

Visit product View on Hacker NewsMay 31, 2026

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

96%96% 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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% 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

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

17%17% 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.

Correct prediction on native model

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