June 2, 2026
Caught breathing, caught drama
Show HN: Live breath detection and biofeedback from a phone microphone
Your phone wants to hear you breathe, but the comments got distracted fast
TLDR: This app uses a phone microphone to detect your breathing in real time and give quiet feedback without sending raw audio away. Commenters were far less zen: one questioned the login wall, another hit a country-availability snag, and a third got sidetracked by GitHub fonts.
A new app is pitching a surprisingly calm idea: let your phone listen to your breathing and quietly mirror it back to help you notice your own patterns. No wearable, no coach, no cloud upload of raw audio, and—crucially—no attempt to turn relaxation into another shiny, noisy game. The maker says it works right on the device and tries to figure out whether you’re breathing in, breathing out, or pausing, even with real-life chaos like traffic, fans, and rustling fabric in the background. In plain English: your phone becomes a tiny breath buddy instead of an attention-hungry nag.
But the real show was in the comments, where the community instantly delivered a classic internet plot twist. One person skipped the wellness vision entirely and went straight for the practical annoyance: why is there a login requirement? Another chimed in with international heartbreak, saying the app isn’t even available in the Dutch Android store—so much for breathing easy. And then, in the most Hacker News moment possible, someone veered completely off-road to ask whether GitHub changed its fonts. Yes, a breath-tracking app launched, and part of the crowd responded with store-region drama and typography conspiracy energy.
So the mood was less "wow, the future of mindfulness" and more "cool idea, but can I use it without hurdles, and also why does this page look weird?" It’s a perfect snapshot of tech culture: even when someone builds a phone that listens to your breath, the comments are still gasping about login screens and fonts.
Key Points
- •The project describes a shipped app that performs live breath detection and biofeedback using only a phone microphone.
- •Audio is processed entirely on-device, and the article states that the system does not analyze speech or upload raw audio.
- •The detection pipeline combines signal processing, a breathing state machine with adaptive thresholds, and a data-quality layer that rejects unreliable audio windows.
- •Machine learning is used only in a limited supporting role, while the live detection experience relies on a rule-based pipeline.
- •The article says the system is still being validated against clinical ground truth and is positioned as a wellness and self-awareness tool rather than a medical device.