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SunDose: Live UV & Tan Timer +

SunDose: Live UV & Tan Timer +

鹏程 胡

Weather免费v1.0.2
App Store
评分

N/A

星级

☆☆☆☆☆

最近更新

2026年2月10日

发布日期

2026年2月9日

更新内容

v1.0.2

Minor bugs fixed.

应用信息

开发者
鹏程 胡
分类
Weather
价格
免费
版本
1.0.2
App ID
6755374940

简介

Sundose — your simple, smart guide to safe tanning and healthy sun exposure. See real-time UV levels, track Vitamin D, and tan without guessing. Key Features: - Stay aware of UV levels Check the current UV index, see hourly forecasts, and get alerts when the sun gets risky. - Build Vitamin D the right way Track how much Vitamin D you're making and get easy tips on the best time to be in the sun. - Tan safely with a smart timer Start a session, watch your sunburn risk in real time, and get notified when it’s time to cool down or find shade. - Get simple, personal suggestions Sundose adjusts recommendations based on your location, weather, and UV strength. Great for: - Beach days. - Outdoor workouts. - Health-focused sun lovers. - Anyone tracking Vitamin D. Stay sun smart. Feel good. Tan safely. Download Sundose and enjoy the sun with confidence. We offer multiple subscription options for you: -$2.99/week -$39.99/year (7-day free trial) • Payment will be charged to iTunes Account at confirmation of purchase. • Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period. • Account will be charged for renewal within 24-hours prior to the end of the current period, and identify the cost of the renewal. • Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user's Account Settings after purchase. • Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable. Privacy Policy: https://sites.google.com/view/sundose/home Terms of Use: https://sites.google.com/view/sundose-terms/home

下载量预测

专业 · 预览

预估总下载量

000
保守估计乐观估计

0

低 / 月

0

预估 / 月

0

高 / 月

基于0 条评分
假设评分率1.4%
应用年龄3 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。