5.0
1 条评分
★★★★★
2025年12月22日
2025年5月28日
更新内容
v1.1.8What’s New in This Update: - Add more new HD Background Images - Beautiful Daily Good Morning Images - Good Morning & Good Night GIFs - Optimize App Performance
应用信息
- 开发者
- Nguyen Thi Oanh
- 分类
- Lifestyle
- 价格
- 免费
- 版本
- 1.1.8
- App ID
- 6746252557
简介
Start and end your day with love. Good Morning & Good Night Love is your ultimate daily companion for sending beautiful wishes to your loved ones. Whether it’s early in the morning or late at night, or on a special holiday — we’ve got you covered. App Highlights: - 25+ Categories of Wishes From Good Morning, Good Night, Good Afternoon to special days like Valentine's Day, Christmas, Mother’s Day, and more — discover thousands of heartfelt messages and stunning visuals. - Create Your Own Image Messages Unleash your creativity by writing directly on beautiful background photos. Customize font, color, size, position — then share your own unique greeting with the world. - Smart Daily Suggestions Get meaningful suggestions based on the day of the week or calendar events, so you always have the right message at the right time. - Daily Notification Reminders Never forget to brighten someone's day. Set up daily reminders to send greetings every morning or night. - Save & Share Easily Save your favorite messages or share directly through messaging apps and social media in just a tap. - History of Shared Messages Keep track of the wishes you've shared and revisit your favorite ones anytime. Why Users Love It “Every morning when you wake up or before you go to bed, the first thing you want to do is to send Good Morning & Good Night wishes to the ones you love. Instead of the normal and boring sayings, this app gives you a huge, beautifully designed collection of greetings — or lets you create your own.” Simple to use. Beautiful to experience. Designed for connection. Make Every Morning and Night Special. Download Good Morning & Good Night Love today — and start sending love, light, and positivity daily. Privacy Policy: https://sites.google.com/view/ntoanh/privacy-policy-subscription Terms: https://sites.google.com/view/ntoanh/terms
下载量预测
预估总下载量
4
低 / 月
6
预估 / 月
12
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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