Br

Breathwork App for Endurance Athletes

Hacker News

Breathwork App for Endurance Athletes

Hi, I had a problem of how to get into a proper shape again after quitting smoking after 17 years, where lungs of mine were the main bottleneck. I was therefore inclined to find a solution that would help me to systematically improve my breathing pace, but since I couldn't find anything related to it, I therefore decided to solve it myself. Being a designer while also having skills of a full-stack developer, I decided to learn Swift and use Apple Watch to design one. In essence, the app is rather similar to how Strava works on Apple Watch: you start your workout session, go through with it, and then have it saved for further analysis. The real difference is that you also set your breathing pace, which will translate your heart rate to breath rate and give relevant haptic cues when to breath in and out. Since I had to build a sampler to WatchOS, I also experimented with trying the app to generate background music that would be synced to both heart and breathing rates. After scraping on domain audio samples reaching over 300GB, I then used Jupyter/Python and the process of dynamic time warping to group similar sounds to eventually create an audible journey when doing workouts. Currently it only has one track/genre for ambient, but I'm thinking of adding more styles to it soon. The app also allows for fetching all your workout data in CSV though Cloudflare's Workers, if need be. I have been mostly using it when doing my runs. I recently also went through my first half-marathon, where lungs were not the bottleneck anymore, so it seems the app seems to have some merit for people to improve their breathwork. Cheers, Andrus

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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: apple, using · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Jobaround Athletes
Jobaround Athletes13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building Athletes Platform

Indie Hackers
Sportvybes
Sportvybes24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LinkedIn for athletes

Indie Hackerscommitment-full-time
Supreso
Supreso65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Sovereign Operating System for Athletes.

Indie Hackerscommitment-side-project
Tr
TrainHard – Connecting Athletes with Trainers30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TrainHard – Connecting Athletes with Trainers

Hacker News2
Athleticus App
Athleticus App58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Video Built for Coaches and Athletes

Indie Hackers1b2b
Hylo Inc
Hylo Inc66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The best athletes in the world have agents

Product Hunt+3
NEUROSPORTS
NEUROSPORTS54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-powered mental training app for athletes

Indie Hackerscommitment-full-time
Ergsync
Ergsync42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Training app for rowing / crew athletes and teams

Indie Hackers1analytics
Softball Bound
Softball Bound53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Softball Recruiting Assistant for Youth Athletes

Indie Hackerscommitment-side-project
Clubays Android App
Clubays Android App31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clubays: Connecting Athletes

Product Hunt+8