Re:Timbre: Find the sounds that help you sleep best
by bryan-vh on Friday October 06, 2023 @02:39PM
(#37794518)
Hey all, I'm currently a solo iOS developer who just released my first app, Timbre, onto the App Store.
Timbre originally came about because I wanted to build a sleep sounds / sleep tracker app. I had used Headspace, Calm, Pillow, etc. and figured that instead of paying $70 / year I could just build my own app and pay $100 a year (not a great plan in retrospect). As I started building Timbre, I realized that one of the biggest issues I had with these other apps is that I could never really see which sounds genuinely helped me sleep. With that in mind, I pivoted on my original idea and decided to really hone in on connecting sleep quality and sounds.
Using a custom ML model, Apple's CoreML framework and HealthKit's sleep stage data, I made it so that Timbre could predict a personal sleep quality score. When you record a sleep session while listening to a sound, the app can then rank the available sounds based on which statistically help you sleep best.
Of course, the app also has a smart alarm, offline support, sleep analysis and more, but I'd love to get some feedback & suggestions. Also feel free to ask me any questions and I'd be happy to answer them!
Re:Timbre: Find the sounds that help you sleep best
by IronWolve on Friday October 06, 2023 @02:47PM
(#37794617)
Interesting, I'm using android. I use an app I can mix sounds and volume levels, I ended up with light rain, occasional thunder, and a lite roof raindrop noise.
Sounds good enough to fall asleep too, and works well for white noise.
Never thought about using the sleep state data to different noises.
Timbre originally came about because I wanted to build a sleep sounds / sleep tracker app. I had used Headspace, Calm, Pillow, etc. and figured that instead of paying $70 / year I could just build my own app and pay $100 a year (not a great plan in retrospect). As I started building Timbre, I realized that one of the biggest issues I had with these other apps is that I could never really see which sounds genuinely helped me sleep. With that in mind, I pivoted on my original idea and decided to really hone in on connecting sleep quality and sounds.
Using a custom ML model, Apple's CoreML framework and HealthKit's sleep stage data, I made it so that Timbre could predict a personal sleep quality score. When you record a sleep session while listening to a sound, the app can then rank the available sounds based on which statistically help you sleep best.
Of course, the app also has a smart alarm, offline support, sleep analysis and more, but I'd love to get some feedback & suggestions. Also feel free to ask me any questions and I'd be happy to answer them!
Sounds good enough to fall asleep too, and works well for white noise.
Never thought about using the sleep state data to different noises.