4.7
3,003 条评分
★★★★★
2026年5月5日
2024年1月24日
更新内容
v2.16.1Some small updates, to make the app more fun, in Clear30 2.16.1 In this version: - Small bug fixed and improvements
应用信息
- 开发者
- Clear 30 LLC
- 分类
- Health & Fitness
- 价格
- 免费
- 版本
- 2.16.1
- App ID
- 6476418203
简介
Clear30: Your Guide to a Successful 30-Day Tolerance Break and So Much More When you try to take a tolerance break, stop smoking, or reduce smoking weed, it can feel like everything is stacked against you: • Your friends asking you to smoke • Soul-crushing boredom • Your old stash waiting for you in your underwear drawer • Not knowing what to do with your free time Clear30 is an all-encompassing 30-day digital T-Break guide designed to help you overcome obstacles while empowering you to live with intention and purpose, no matter what your long-term goals are. Whether you’re on a weed break, a tolerance break, or looking to quit weed entirely, we’re here to support your journey. Clear30 is a subscription based app. With an active subscription, you have access toL • Personalized feedback based on your current use • A preparation guide and supportive meditation • A progress tracker, sober counter, and video journal to document your patterns and growth • Access to the Clear30 community • An AI assistant to provide tips on having a successful T-Break • Personalized daily messages to guide you through your tolerance break • Educational pages with information and guidance on topics such as withdrawal, triggers, cravings, mental health, ways to succeed, and so much more! • Custom daily meditations to keep you grounded • Reddit threads and YouTube videos connecting you to others on the same journey • The option to enroll in long-term support programs tailored to your post-Clear30 goals Live with Intention. Drop the weed maps for a month and start your Clear30 journey today for free. In-app subscription terms and conditions can be found at https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
下载量预测
预估总下载量
7K
低 / 月
10K
预估 / 月
15K
高 / 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。
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