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Wine n Dine - Visual Menus

Wine n Dine - Visual Menus

WineNDine LLC

Food & Drink免费v5.39.2
App Store
评分

4.8

1,186 条评分

星级

★★★★★

最近更新

2021年5月11日

发布日期

2013年9月11日

更新内容

v5.39.2

We took care of a few bugs and made some improvements to our search and discover experience. Don’t forget to use our dish search feature when you know what dish you’re craving...

应用信息

开发者
WineNDine LLC
分类
Food & Drink
价格
免费
版本
5.39.2
App ID
643261001

简介

Wine n Dine is home to the food community. It's all about picture based visual menus from over 80,000 of the world's best restaurants, helping you always order delicious food. Share, discover and save dishes and restaurants to help make your next dining decision as easy as asking a friend. With Wine n Dine you can: - Be part of a growing food community that loves to discover the best food every city has to offer. - Explore restaurant pages and visual menus to always know where to go and what to order. - Share dish photos to earn points and prizes (like dinner on us) for posting and competing on your city's leaderboard. - Browse thousands of amazing dish photos uploaded everyday. - Save dishes with the 'Wanna Try' feature. We'll remind you of what to get when you're at that restaurant. - Avoid negative reviews and rants. Everything here is positive. No strangers here, it's all about the community and your friends. - Create and discover insightful restaurant lists. - Search dishes, restaurants, lists and people. - Use 'Explore' to see the best restaurants in your city, or browse the map to see the best food around you. - Save where you've been and check out restaurants and dishes people you follow love. A note on battery - We use background location sparingly to make dish recommendations at restaurants, which is a favorite feature among users. Our system is power efficient. As with all apps of this type, continued use of background location may dramatically decrease battery life.

下载量预测

专业 · 预览

预估总下载量

88K59K169K
保守估计乐观估计

385

低 / 月

570

预估 / 月

1K

高 / 月

基于1,186 条评分
假设评分率1.4%
应用年龄154 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。