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不强制 25 分钟
No fixed focus sessions
开始工作时开始计时。需要停下时暂停，不打断你的节奏。
Start when you work. Pause when you need to. No forced rhythm.
多线程工作计时器Parallel Work Timer
时流ThreadFlowThreadFlowTrack overlapping work
你的工作已经多线程了，计时器也应该是。
Your work is multithreaded. Your timer should be too.
多个任务可以同时运行，重叠的真实工作时间不会重复计算。不强制 25 分钟，只记录你真正投入工作的时间。
Run multiple tasks at once without double-counting real elapsed time. No forced 25-minute sessions—just an honest record of your actual work.
App Store 即将上线Coming soon on the App StoreGitHub · 开源GitHub · Open Source
时流ThreadFlow
⚙︎
9月2日 星期三September 2 · Wednesday
今日实际投入Actual time today2:48:39
☕ 歇一会儿吧☕ Take a break
添加一件今天要做的事Add something to work on＋
正在进行 · 2 · 各获得 50% 实际时间Running · 2 · 50% actual time each
App 功能开发App Development
运行时间Elapsed1:18:24
实际投入Actual0:52:18
Ⅱ 暂停Ⅱ Pause
✓ 完成✓ Done
内容方案整理Content Planning
运行时间Elapsed0:26:10
实际投入Actual0:13:05
不是另一个番茄钟Not another Pomodoro timer
自由记录真实工作时间
Track real work time freely.
时流只保留真正有用的部分：开始、暂停、完成、回看。
ThreadFlow keeps only what matters: start, pause, finish, review.
⇄
多个任务同时运行
Run multiple tasks
AI Agent、代码构建或内容生成在跑时，你可以自然切到另一项工作。
Switch naturally while AI agents, builds, or generation tasks keep running.
✓
每天留下真实记录
Keep an honest work log
不做复杂项目管理。只留下今天做过什么，以及真正投入多久。
No complex project management. Just what you did and how long it really took.
一天结束后At the end of the day
看看自己真正做了什么
See what you actually worked on.
查看最近 7 天和每月工作时间统计
Review 7-day and monthly work time statistics.
今天Today
随手写下要做的事，开始工作时点一下。Add what you want to do and start with one tap.
记录Log
回看每天做过的事，以及每项工作的实际投入。Look back at what you did and how much time it took.
统计Stats
看看时间都花在了哪里。See where your time went.
常见问题Frequently asked questions
用适合你的方式记录工作时间
Track work time your way.
ThreadFlow 和番茄钟有什么不同？How is ThreadFlow different from Pomodoro?
ThreadFlow 不规定 25 分钟的工作周期。开始工作时开始计时，需要暂停时随时暂停，更适合不希望被固定专注周期打断的人。ThreadFlow does not require 25-minute work sessions. Start and pause when you need to, without a fixed focus cycle interrupting your work.
可以同时给多个任务计时吗？Can I run multiple timers at once?
可以。ThreadFlow 支持多个任务同时运行。当任务发生时间重叠时，真实经过时间会自动分配，因此总工作时间不会被重复计算。Yes. When tasks overlap, real elapsed time is automatically allocated, so your total work time is never double-counted.
ThreadFlow 适合 AI Coding 吗？Is ThreadFlow suitable for AI coding?
适合。当 Codex、Claude Code 或其他 AI Agent 正在执行任务时，你可以切换到另一项工作，并同时保留多个任务的运行记录。Yes. While Codex, Claude Code, or another AI agent runs, you can switch to another task and keep both work records running.
数据会上传服务器吗？Is my data uploaded to a server?
不会。当前版本无需登录，任务、分类和工作时间记录均保存在设备本地。No. The current version does not require sign-in; tasks, categories, and work-time records stay on your device.
开源项目Open Source
ThreadFlow 是一个开源时间记录 App
ThreadFlow is an open-source work time tracker.
ThreadFlow 是一个开源项目。
欢迎提交 Issue、分享想法、报告问题，也欢迎通过 Pull Request 一起完善产品。
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