ProductivityLocal-firstTime TrackingAI

Offline Automatic Time Tracker

Automatically records real time spent on each project for multi-project workers, no manual timers

Problem
People juggling multiple projects have a hard time accurately calculating how much time each project took at the end of a day, week, or month, relying only on memory. Existing trackers either require manual start/stop or depend on cloud analysis, which is expensive and raises privacy concerns.
Solution
A fully offline desktop automatic time tracker. It uses local AI to analyze active windows and input behavior, automatically categorizes time into different projects, and generates daily/weekly/monthly reports. Users can also define custom project tags and rules, and data never leaves the device.
Users
Freelancers, multi-project developers, consultants, and anyone needing precise time tracking
MVP
Local active window sampling and classification; support custom project tags and rules; auto-generate daily/weekly/monthly time reports; all data stored locally with no network requests; export as CSV
Revenue
One-time purchase with a 14-day free trial
Why now
Local AI inference costs have dropped significantly, enabling on-device activity classification; growing privacy awareness gives offline solutions a differentiation edge; remote work boom increases time-tracking demand

Source discussions · 1

  1. Hacker NewsShow HN: Threshyr – An offline automatic time tracker with on-device AI2↑ 0
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