Ap

Apple Watch app with haptic-guided breathing to help you meditate

Hacker News

Apple Watch app with haptic-guided breathing to help you meditate

I've been interested in meditation for many years now. Worked at meditation startups, have done Vipassana 10 day retreats. I've been able to get into some pretty deep meditation sessions and those have always been nice for me. But for whatever reason, it always felt like playing the slot machine for me. I could never consistently get into the space. Meditation kind of would come and go in my life. Anyways, I stumbled across this guy on Youtube talking about HRV resonance meditation (i'll link him below, but i'm not affiliated). He talked about reaching this meditative state as being a back-loaded process which kind of clicked to me. A mental state that arises by preparing the physical body in a certain way. At the least, this was intriguing to me. His method was pretty simple: 1. Keep the breath rate under 7 breaths per minute (BPM) 2. Always Make the Outbreath Longer (AMOL) 3. Take out all the pauses between breaths What this does is induce something called HRV resonance, where your heart rate begins to naturally sync with your breathing rhythm. This balanced pattern helps activate the parasympathetic nervous system, which brings your body into a calm “low-idle” state. Once you're there, mental clarity and stillness tend to arise on their own, hence, back-loaded. So I was trying it out and had some good luck but wanted a better way to play around with the BPM and in/out ratio of my breaths. I had an idea of making a Apple watch app that used haptic feedback to indicate when to breath with a nice bodily sensation you can pay attention too. So it's pretty simple, you can pick the in/out and BPM and then it will give one haptic indicating to breath in and 2 when you can release and start breathing out. Id love for feedback and curious if anyone else has success with this method. * No subscription (just a small one time fee, if you want to try it but can't pay lmk) * I'm not overly happy with the "Smart Mode" so any feedback would be great. I think it would be cool to make it so you can hook it up to a HR chest strap to get HRV and react in real time. For now its pretty dumb (and written by Claude Code) * I'm still new to this but do plan on doing some experimenting with my chest strap * I'm not a doctor ;p For more details: Forrest YT: https://www.youtube.com/watch?v=qLCGxan273w You can also look up his Mastering Meditation book

Share card

Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
91%91% 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, claude, apple · Missing: agents, macos, agent
65%65% predicted probability of success on Product Hunt, 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
41%41% 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: way, para · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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: real time, smart · 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

Ou
Outcast for Apple Watch36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Outcast for Apple Watch

Hacker News2
Pu
PurpleAir on Apple Watch36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PurpleAir on Apple Watch

Hacker News1
Qu
Quake 1 ported to the Apple Watch52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quake 1 ported to the Apple Watch

Hacker News692
HN
HN on the Apple Watch39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN on the Apple Watch

Hacker News5
Po
PokerTrack for Apple Watch36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PokerTrack for Apple Watch

Hacker News1
Conducto
Conducto66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Haptic metronome for Apple Watch

Product Hunt+138Apple Watch
YourBreath
YourBreath32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Calm breathing on iPhone and Apple Watch, with no account or

Indie Hackerscommitment-side-project
Un
Unspent for iPhone and Apple Watch (My First App)31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unspent for iPhone and Apple Watch (My First App)

Hacker News1
I
I Made Alexa Work on Apple Watch26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Made Alexa Work on Apple Watch

Hacker News3
HyNote for Apple Watch
HyNote for Apple Watch74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Live Recording with Apple Watch

Product Hunt+315Productivity