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Watch Faces - WatchMaker

Watch Faces - WatchMaker

Watch Faces & Widgets

Lifestyle免费v10.1.5
App Store
评分

4.5

5,603 条评分

星级

★★★★☆

最近更新

2026年5月14日

发布日期

2017年3月13日

更新内容

v10.1.5

10.1.5 - New cartoon watches for Apple Watch

应用信息

开发者
Watch Faces & Widgets
分类
Lifestyle
价格
免费
版本
10.1.5
App ID
1213875863

简介

WatchMaker the #1 watch face platform in the world, with millions of smartwatch users, is finally available on iPhone and Apple Watch! Personalize your Apple Watch with designers' Watch Faces and Complications. Features exclusive to WatchMaker : • Collect 1000's of watchfaces or share with your friends! • Design or customize existing watchfaces! • Display weather data and forecasts • 1-Click Widgets - Including battery (watch/phone) + WiFi widgets! • Countdowns - birthday, Christmas SUBSCRIPTION PRICING AND TERMS Upgrade to the Premium version and unlock all premium watches, get regular content updates and remove ads! – 1 week subscription price with 3 days trial version $3.99 USD/week – 12 months subscription price $29.99 USD/year Compatibility: This App is compatible with any Apple Watch Series Ultra, SE/2, 8, Series 7, Series 6, Series SE, Series 5, Series 4, Series 3 & Series 2 and Series 1. Apple Watch Series 3 and older: some Watch Faces styles may not work correctly due to watch OS limitations. Live Watch video faces are limited to 2 seconds. These work only with "Always On" feature turned off. Privacy Policy: https://watch-faces.co/privacy Terms of Use: https://watch-faces.co/terms Requested access: Photos - access to save watches on device and set them as Apple Watch faces Notification - access to receive notifications about updates, new content, app news Calendar - display calendar data on watchfaces Apple Health (HealthKit) - display your Health Data on Apple Watch complications including active energy, activity, flights climbed, heart rate, steps and distance

下载量预测

专业 · 预览

预估总下载量

415K280K800K
保守估计乐观估计

3K

低 / 月

4K

预估 / 月

7K

高 / 月

基于5,603 条评分
假设评分率1.4%
应用年龄112 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。