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Lightweight tasks, flexible timing
Write down today’s tasks and start with one tap. No forced 25-minute sessions.
Available on the App Store · Free
ThreadFlowTrack overlapping work
Your work is multithreaded. Your timer should be too.
A lightweight daily task list with flexible timing. Run multiple tasks at once without double-counting overlapping time. No forced 25-minute sessions.
Scan to downloadFree · No account required · Local data
ThreadFlow
⚙︎
Today
Actual time today1:00:00
Add something to work on＋
Running · 2 · 50% actual time each
App Development
Elapsed1:00:00
Actual0:30:00
Content Planning
Elapsed1:00:00
Actual0:30:00
Not another Pomodoro timer
Track real work time freely.
ThreadFlow keeps only what matters: start, pause, finish, review.
⇄
Work can run in parallel
Switch naturally while AI agents, builds, or generation tasks run. Overlapping real time is counted only once.
✓
Keep an honest work log
No complex project management. Just what you did and how long it really took.
At the end of the day
See what you actually worked on.
Review 7-day and monthly work time statistics.
Today
Add what you want to do and start with one tap.
Log
Look back at what you did and how much time it took.
Stats
See where your time went.
Frequently asked questions
Track work time your way.
How is ThreadFlow different from Pomodoro?
ThreadFlow does not require 25-minute work sessions. Start and pause when you need to, without a fixed focus cycle interrupting your work.
Can I run multiple timers at once?
Yes. When tasks overlap, real elapsed time is automatically allocated, so your total work time is never double-counted.
Is ThreadFlow suitable for AI coding?
Yes. While Codex, Claude Code, or another AI agent runs, you can switch to another task and keep both work records running.
Is my data uploaded to a server?
No. The current version does not require sign-in; tasks, categories, and work-time records stay on your device.
Open Source
ThreadFlow is an open-source work time tracker.
ThreadFlow is open source.
Ideas, bug reports, feedback, and pull requests are all welcome.
// overlapping time segment
duration = end - start
share = duration / runningTasks.length
for (task of runningTasks) {
task.actual += share
}
// total actual time == real elapsed time
Start tracking work as it really happens
Run tasks in parallel without double-counting your time.