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 / 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 calculate a personal sleep quality score. Therefore, when you record a sleep session while listening to a sound, the app can rank the sounds you've listened to based on your sleep quality scores over time.

Of course, the app also has a smart alarm, offline support, sleep analysis and more, but I'd love to get some feedback & suggestions from the demo video. Also feel free to ask me any questions and I'd be happy to answer them!