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75 Day Challenge - Hard & Soft

75 Day Challenge - Hard & Soft

Lumos apps

Lifestyle免费v2.1.35
App Store
评分

4.7

533 条评分

星级

★★★★★

最近更新

2026年5月7日

发布日期

2024年11月4日

更新内容

v2.1.35

Taking a daily progress picture is no longer a strict requirement when you are on the Soft Challenge track! You now have the complete freedom to make the daily selfie optional. Whether you want to keep your transformation private, or you just want to focus purely on your reading, workouts, and water intake, the choice is entirely yours.

应用信息

开发者
Lumos apps
分类
Lifestyle
价格
免费
版本
2.1.35
App ID
6736896365

简介

Crush Your Limits with the 75 Day Challenge. This isn’t just another fitness app — This is a life changing mental resilience challenge. This is your blueprint for building mental toughness, discipline, and real results — no fluff, no excuses. 99% of people fail the 75-day challenge. ARE YOU ONE OF THEM??? Take CONTROL of your life. 51% of people with the app complete the challenge!! It ain’t easy: - It demands self-assurance. - It demands determination. - It demands trust in who you are. You’re in charge. Choose from three challenge modes — Hard, Medium, or Soft — and set the duration that fits your grind. Follow the rules of the true 75 Day Challenge. We’ll get your 6 with smart to-do list, reminders, motivational speech and a community of people willing to change their life for good. No lone wolf here. Thousands are already leveling up their mindset and physique. This is your turn. Download the app now — and take control of your discipline, your growth, your life. Privacy Policy: https://www.kovalee.app/privacy-policy Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ The app offers subscriptions and/or in-app purchase which unlock all content. This application is independently developed and is not affiliated with, endorsed by, or associated with 44Seven Media or the ‘75 HARD’ program.

下载量预测

专业 · 预览

预估总下载量

39K27K76K
保守估计乐观估计

1K

低 / 月

2K

预估 / 月

4K

高 / 月

基于533 条评分
假设评分率1.4%
应用年龄19 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。