Occupied - Time Tracking & Habit Audit
GOT STUFF TO DO? WE GOT YOU
What it does
Ocuupied is a cozy, desktop personal time-tracking and habit-audit tool with a cute bear mascot. Track your hours, crush weekly goals, and audit your life peacefully.
Occupied is a cozy, desktop personal time-tracking and habit-audit tool with a cute bear mascot. Track your hours, crush weekly goals, and audit your life peacefully.
A friendly personal time-tracking and habit-audit tool that helps you understand where your precious life hours actually go — without stress or guilt. No overwhelming charts or complicated project setups. Just gentle, clear tools made to nurture your daily flow. Log activities in seconds with easy tags, smart autocomplete, and intuitive category groupings like Deep Work, Rest, and Creative Flow. Set realistic hour targets for habits you care about and watch your gentle progress bars fill up throughout the week without pressure. Stay in the zone with built-in Pomodoro sessions, custom interval chimes, and a companion bear who focuses right alongside you. Step back once a month to review time…from get-occupied.vercel.app
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