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Quit Weed

Quit Weed

Michal Janecek

Health & Fitness免费v2.7
App Store
评分

4.9

1,716 条评分

星级

★★★★★

最近更新

2026年5月13日

发布日期

2022年9月19日

更新内容

v2.7

►► New update is here! Smoother performance, fewer bugs, and small visual polish. Thank you all for the feedback and support!

应用信息

开发者
Michal Janecek
分类
Health & Fitness
价格
免费
版本
2.7
App ID
1644552753

简介

Contrary to popular belief, weed can be addictive. In fact, approximately 15% of marijuana users get addicted to it. If you've tried to quit or cut back in the past without success, then your relationship with weed may not be where you want it to be. If you're struggling to quit weed and need help, motivation, or simply a way to track your progress, this app is for you. Quitting is possible, and it's worth it. I created this app to help others because I understand how challenging it can be. ►► FEATURES: ► STATISTICS • Track smoke-free time • Remember your quit date • Calculate money saved • Measure how much weed you haven’t consumed • Count sessions you’ve skipped • And more... ► HEALTH • Follow your recovery with 30+ science-based health badges • Health badges are divided into 4 categories: Detox, Body, Mind, and Lungs • See what may be improving now, what’s coming next, and what symptoms to expect • Personalized based on your quit date and health profile ► INFORMATION & RECOVERY STAGES • Detailed guide for the first 6 weeks of your quit journey, divided into three phases • Each phase comes with tailored tips • Understand potential withdrawal symptoms for each stage, so you know what to expect • Extra motivation and support when you need it most ► ACHIEVEMENTS • Unlock over 50 achievements as you make progress • 4 categories of achievements to keep you motivated • Celebrate milestones for time, money saved, amount avoided, and sessions skipped Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

下载量预测

专业 · 预览

预估总下载量

156K114K245K
保守估计乐观估计

3K

低 / 月

3K

预估 / 月

5K

高 / 月

基于1,716 条评分
假设评分率1.1%
应用年龄45 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。