HabitLuma
Build streaks that stick.
What it does
HabitLuma is a calm habit tracker for iPhone. It helps you track both the habits you want to quit and the ones you want to build, without the usual guilt and stress. Simple daily check-ins, and a design that doesn’t stress you out. Simple, focused, and built for long-term consistency.
HabitLuma is an iPhone app for quitting habits you want to break and building the ones you want to keep, with streak tracking and progress insights.
HabitLuma tracks the habits you want to quit and the ones you want to build, in one calm app. Check in once a day. Watch the number grow. Miss a day without losing everything you've built. Every streak in HabitLuma is set up as one of two types when you create it, and each gets tracking built for how that kind of progress actually works. Set a start date and watch the counter climb. If you slip, one tap resets it and starts the next run. No lecture, no lost history, just an honest number. Pick which days count, mark them done, and let the calendar fill in. Hit a milestone and HabitLuma marks it for you automatically. Nothing to configure and nothing to learn. Open the app, tell it what…from app.habitluma.workers.dev
Does the same job
all alternatives →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 · 17d ago · simedw.com