Wombcore 3K – Procedural Sound Machine for Baby Sleep (No Audio Files)

Hacker News

I built Wombcore 3000, a web-based sound machine to soothe babies using pure Web Audio API—no external sound files, libraries, or build steps. It generates calming sounds like white/brown noise, heartbeat, ocean waves, and a gentle lullaby in real-time. Features include: - Sleep timer (15/30/60 min) - Background audio support on mobile - Volume control - Fully responsive - 100% client-side – just open index.html Live demo & source: https://github.com/taranntell/wombcore3000 Would love feedback on performance, sound realism, or ideas for new features. Thanks! BTW: The web app continues playing sounds in the background on Android even after locking the screen. On iOS, this doesn’t work due to JavaScript execution being suspended when the device is locked.

Visit product View on Hacker NewsMay 28, 2025

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

93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% 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

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

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

40%40% 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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

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