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Timers - Repeat Interval Timer

Timers - Repeat Interval Timer

Koji Ito

Productivity免费v2.3.10
App Store
评分

4.7

48 条评分

星级

★★★★★

最近更新

2026年5月11日

发布日期

2021年3月16日

更新内容

v2.3.10

- Performance and stability improvements.

应用信息

开发者
Koji Ito
分类
Productivity
价格
免费
版本
2.3.10
App ID
1537537028

简介

Manage your time smartly and stay focused on what matters. Over 125,000 downloads worldwide with an average rating of 4.6 from more than 1,500 reviews. A simple way to support all your focused moments throughout the day. Timers is an interval timer app that lets you run multiple timers in sequence. Perfect for cooking, studying, workouts, meditation, Pomodoro sessions, stretching, and more. ■ Run multiple timers in sequence Create as many timers as you need and run them automatically in order. Save them as a group and reuse your daily routines with a single tap. ■ Repeat for each group Grouped timers can be repeated a specified number of times. Example: “Exercise → Rest” repeated 10 times, or “25 min focus → 5 min break” repeated 4 sets. ■ Notifications, speech, countdown At the set time, you’ll receive a notification. When the app is open, speech and countdown are available. Even in the background or with the screen locked, notifications will alert you. ■ Simple and intuitive Edit time, repeats, sound, and names with ease. Use templates or duplication to quickly reuse your favorite timers. ■ Premium for a cleaner experience All core features are free. Purchasing Premium removes ads so you can stay focused. Purchases can be restored anytime. ---- ■ Features • Run multiple timers in sequence • Repeat by group (set count) • Notifications / speech / countdown / advance notice • Templates and timer duplication • Background notifications / auto-lock control • Badge shows active timers • Dark Mode support • Remove ads (Premium) ---- Make your time simple and productive. Timers helps you focus every day.

下载量预测

专业 · 预览

预估总下载量

5K3K10K
保守估计乐观估计

51

低 / 月

76

预估 / 月

152

高 / 月

基于48 条评分
假设评分率1.0%
应用年龄63 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。