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Push Up Time – AI App Blocker

Push Up Time – AI App Blocker

Nicolas Terrier

Health & Fitness免费v1.1.9
App Store
评分

4.7

760 条评分

星级

★★★★★

最近更新

2026年4月4日

发布日期

2025年8月19日

更新内容

v1.1.9

Metadata Update. Bugs fix.

应用信息

开发者
Nicolas Terrier
分类
Health & Fitness
价格
免费
版本
1.1.9
App ID
6751124797

简介

Turn screen time into action. Push Up Time is an app blocker that helps you stay focused by adding physical effort between you and your most distracting apps. Instead of endless scrolling, unlock blocked apps by completing push-ups. Simple, effective, and surprisingly motivating. How it works: • Choose the apps you want to block • Set the number of push-ups required to unlock them • Do the reps, unlock the app, stay in control Push Up Time uses a pushscroll-style interaction to reduce mindless usage and build better habits through movement. Why Push Up Time? • App blocking with physical friction • Stay focused without strict timers • Turn distractions into quick workouts • Build discipline, strength, and awareness Whether you want to reduce screen time, improve focus, or add movement to your day, Push Up Time makes self-control active instead of passive. Stop scrolling. Start moving. Stay focused. #SUBSCRIPTION & AUTOMATIC RENEWAL The payment will be charged to your Apple ID Account at confirmation of purchase. The subscription renews automatically unless auto-renew is turned off at least 24 hours before the end of the current billing period. Your account will be charged for renewal within 24 hours before the end of your selected subscription. Subscriptions can be managed, and auto-renewal turned off in your App Store Account Settings. Prices: Monthly $12.99 – Weekly $5.99 #ACCESS CONTENT To access the content, you’ll need to start a subscription. A free trial option is also available. Legal Privacy Policy: https://sites.google.com/view/cidevelopment/privacy-policy Terms of Use: https://sites.google.com/view/cidevelopment/terms-of-service

下载量预测

专业 · 预览

预估总下载量

69K51K109K
保守估计乐观估计

6K

低 / 月

8K

预估 / 月

12K

高 / 月

基于760 条评分
假设评分率1.1%
应用年龄9 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。