Toolscase Timetracker
Know what your team built today.
What it does
Track time, monitor productivity, capture screenshots, and get AI-generated daily summaries. Built for software houses, agencies, and remote teams.
Automatic time tracking, screenshots, and AI-generated summaries that turn raw hours into plain-English team reports — without reading 40 time entries. Every screenshot below is from a live Toolscase account — actual data, actual UI. Live team status, KPI cards, weekly hours chart, and project breakdown — all on one screen. Create a free account, set up projects, invite your team. Takes 2 minutes. Each team member downloads the desktop app for their OS and logs in. Employees start timers. Admins see activity, screenshots, and AI summaries. Desktop app. Start/stop per project. Works offline, syncs automatically. Auto-captured every N minutes while timer runs. Blur option available. 10-minute…from timetracker.toolscase.com
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 · 16d ago · simedw.com