Better Fasting
Intermittent fasting companion. Start in one tap, no signup
What it does
Pick a protocol, hit start, get on with your day. Intermittent fasting on the web, iPhone, Apple Watch, Android, and Chrome, synced across devices.
A simple way to fast: pick a protocol, hit start, get on with your day. Your streak, your weekly plan, and your progress at a glance. Syncs signed-in fasts across web, Chrome, iPhone, and Android, with native timer controls on Apple Watch. Your timer, your streak and your history, on whichever device is in your hand. Simple tools for your timer, history, streaks, and weekly plan. New to it? The fasting window calculator shows when your eating window opens for 16:8, OMAD and the rest of the daily protocols. A calm, glanceable timer with a breathing progress ring. Pick a protocol: 12:12, 14:10, 16:8, 18:6, 20:4, or OMAD, hit start, and go. Your active fast is saved locally, so you can close…from betterfasting.app
Does the same job
all alternatives →
Simple Fasting & Meal Tracker2020 · ▲184Build healthy habits with our Intermittent Fasting assistant
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com