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Pomodoro — Focus Timer

Pomodoro — Focus Timer

Murodjon Sattorov

Productivity免費v1.2.2
App Store
評分

4.9

7 則評分

星級

★★★★★

最近更新

2026年4月29日

發佈日期

2026年2月7日

更新內容

v1.2.2

Added gradient colors and fixed some minor bugs.

應用資訊

開發者
Murodjon Sattorov
分類
Productivity
價格
免費
版本
1.2.2
App ID
6754793448

簡介

No ads. Free forever. A clean, distraction-free Pomodoro timer designed to help you focus without getting in your way. Why you’ll love it • No ads, no paywalls — focus without interruptions. • Free forever — all features included. Core features • Flexible durations Pomodoro: 15–60 min Break: 1–10 min Long Break: 5–30 min • Automatic cycles Long Break every N Pomodoros (choose 2–8). The cycle repeats automatically until you stop it. • Simple, safe controls Start / Pause / Stop / Restart with confirmation to prevent accidental resets. • Live Activities Track the current session and remaining time directly on the Lock Screen and Dynamic Island while the timer is running. • Home Screen widgets Keep your focus visible at a glance without opening the app. • Ongoing notifications See your active session and remaining time while the timer is running. • Sound cues A gentle ting after Pomodoro and Break sessions, plus a short alarm when Long Break starts. • Color themes Choose from 20 carefully curated backgrounds. Changes apply instantly. • Haptic feedback Subtle, precise vibrations for satisfying adjustments (device-dependent). How it works Example (Every 2): Pomodoro → Break → Pomodoro → Break → Long Break → repeat Example (Every 4): Pomodoro → Break ×4 → Long Break → repeat The cycle continues until you press Stop. Notes • Enable notifications to receive session alerts and Live Activity updates. • Live Activities and widgets are active only while the timer is running. • Haptic feedback may vary depending on device settings. Focus better with a Pomodoro timer that’s simple, powerful, ad-free, and free — forever.

下載量預測

專業 · 預覽

預估總下載量

7004671K
保守估計樂觀估計

156

低 / 月

233

預估 / 月

467

高 / 月

基於7 則評分
假設評分率1.0%
應用年齡3 個月

基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。