Cozy Keys, play MIDI keys in the browser

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Hi HN, I've built a low-friction web app for playing and recording MIDI keys. Cozy Keys serves as a sweet spot between full-blown DAW/piano apps and lighter online tools. Former often have setup hassle, and might not be readily available on all devices and online options tend to be either learning-focused or filled with paid features/ads. What you can do: - connect MIDI and play keys, you've got the grand piano + additional synth presets (personal favourite is the Juno Synth modelled after the famouse Juno 60/106 lushness) - choose an "environment" aka preconfigured delay/reverb setting - record plays, both audio and MIDI are recorded - playback with preview on keys - share recordings - download recordings There's also a "Chords with Cora" option as an exploration of handing chord creation tooling to a voice agent. Note: Mobile support is quite limited, working on that. Source: https://github.com/sultson/cozy-keys

Visit product View on Hacker NewsOct 26, 2025

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

75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid, audio · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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