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Hacker News Show HN: Live breath detection and biofeedback from a phone microphone

Promotes self-awareness of breathing rhythm, depth, and regularity, explicitly avoiding gamification. Developed by a family doctor.

27
Traction Score
10
Discussions
Jun 3, 2026
Launch Date
View Origin Link

Product Positioning & Context

AI Executive Synthesis
Promotes self-awareness of breathing rhythm, depth, and regularity, explicitly avoiding gamification. Developed by a family doctor.
This health-tech application targets personal wellness and stress management. The on-device processing of sensitive biofeedback data (breathing) is a critical security and privacy differentiator, appealing to users and enterprises wary of data upload. The explicit rejection of gamification positions it as a serious self-awareness tool, potentially appealing to clinical or corporate wellness programs seeking non-addictive solutions. The technical stack, involving signal processing and ML on-device, indicates a robust approach to real-time data analysis, addressing a common challenge in mobile health applications. This product demonstrates a focused approach to health data privacy and user-centric design.
Hi everyone, I am Felix, a famliy doctor from ZH, Switzerland.
A couple of month ago I started this little project called
shii • haa, a breathing app that uses the phone`s microphone
for live biofeedbackMy prior work in emergency medicine and intensive care was
closesly linked to breathing, mostly in critical situations...
and let me to reevaluate my own way of breathing. over time
one question popped into my mind: can medical knowledge and
biofeedback make an app actually promote self-awareness instead
of attaching your goals to the award system of the app.it combines signal processing, a breathing state machine and ML.
The state machine follows inhale, exhale and transitions in the
mic signal. A quality layer rejects noisy or ambiguous windows
before signals are used for feedback. All processing is done
on-device, no speech or raw audio is uploaded.What I'm trying to avoid is turning breathing into another score
or game. The app gives feedback on rhythm, depth and regularity,
but the point is more "notice what you are doing" than "perform
well".I'd be interested in feedback, especially from people who have
worked on signal processing, health UX, or Android/iOS audio
issues.
signal processing breathing state machine ML on-device processing Android/iOS audio issues

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Live breath detection and biofeedback from a phone microphone?
Live breath detection and biofeedback from a phone microphone is analyzed by our AI as: Promotes self-awareness of breathing rhythm, depth, and regularity, explicitly avoiding gamification. Developed by a family doctor.. It focuses on This health-tech application targets personal wellness and stress management. The on-device processing of sensitive biofeedback data (breathing) is...
Where did Live breath detection and biofeedback from a phone microphone originate?
Data for Live breath detection and biofeedback from a phone microphone was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Live breath detection and biofeedback from a phone microphone publicly launched?
The initial public indexing or launch date for Live breath detection and biofeedback from a phone microphone within our tracked developer communities was recorded on June 3, 2026.
How popular is Live breath detection and biofeedback from a phone microphone?
Live breath detection and biofeedback from a phone microphone has achieved measurable traction, logging over 27 traction score and facilitating 10 recorded discussions or engagements.
Which technical categories define Live breath detection and biofeedback from a phone microphone?
Based on metadata extraction, Live breath detection and biofeedback from a phone microphone is categorized under topics such as: signal processing, breathing state machine, ML, on-device processing.
What are some commercial alternatives to Live breath detection and biofeedback from a phone microphone?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Light Flip , which offers overlapping value propositions.
How does the creator describe Live breath detection and biofeedback from a phone microphone?
The original author or development team describes the product as follows: "Hi everyone, I am Felix, a famliy doctor from ZH, Switzerland. A couple of month ago I started this little project called shii • haa, a breathing app that uses the phone`s microphone for live bi..."

Community Voice & Feedback

jiangriver66 • Jun 3, 2026
[flagged]
stanleydupreez • Jun 3, 2026
[flagged]
ncr100 • Jun 2, 2026
OT did GitHub change their default fonts? This MD file shows up "differently" than I am used to, today.
maartenh • Jun 2, 2026
Sounds interesting. Unfortunately not available in my country in the Android app store. I live in The Netherlands. If you're looking for feedback, you might want to double check this :)
naeem189 • Jun 2, 2026
[dead]
muhammadusman • Jun 2, 2026
can you please review login requirement?

Discovery Source

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Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

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Deep Research & Science

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