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Power Focus - Work Break Timer

Power Focus - Work Break Timer

Fast Robo LLC

Productivity免费v1.7.2
App Store
评分

4.7

457 条评分

星级

★★★★★

最近更新

2026年4月7日

发布日期

2015年2月20日

更新内容

v1.7.2

Minor updates

应用信息

开发者
Fast Robo LLC
分类
Productivity
价格
免费
版本
1.7.2
App ID
966415847

简介

Beat procrastination by working in manageable amounts of time! Boost your productivity and focus on your tasks with Power Focus, the easiest to use countdown timer. [Phone features] * Customize your work session timer length * Customize your regular & long break lengths * View daily & all-time completed work session stats * Interactive notifications (Continue, Pause, or Stop current timer) * More customization choices in Options * Haptic Feedback (if your device supports it) * Use Siri Shortcuts (iOS 12) to start your timer * Dark Mode (iOS 13) support [Watch features] * Apple WatchOS support * Perform actions (Start / Pause / Resume / Stop) from either the watch or phone and continue on either device when in range * Use the digital crown to set work duration * Haptic feedback & timer transition animations * Note: watch is best used with phone to receive notifications [How it works] Use the intervals to get tasks done and give yourself a break in between tasks. Power Focus allows you to easily control the timer at your own pace. You can also customize the timer lengths for shorter work sessions, longer breaks, and more. Take a longer break after a few completed sessions. Keep track of daily and all-time completed work sessions. Get more work done by focusing on your job in manageable chunks of time. [Privacy] If you upgrade to Pro, our app does not run third party tracking to show ads. The free version may run ads to support ongoing development. [About] Power Focus is designed, built, and maintained in California. We'd love to know how we can improve your experience, so please contact us at support@fastrobo.co or tweet us @FastRobo.

下载量预测

专业 · 预览

预估总下载量

46K30K91K
保守估计乐观估计

222

低 / 月

334

预估 / 月

667

高 / 月

基于457 条评分
假设评分率1.0%
应用年龄137 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。