What's Good Here 9+

Simple food reviews

Vilidea

    • 4.0 • 4 Ratings
    • Free
    • Offers In-App Purchases

Screenshots

Description

We're always updating What's Good to bring you the best possible experience!

What's Good is made to be super simple...
1. Keep track of everywhere you've been, what you ate, what you drank, & how good it was
2. Discover new, local, and trending places that have really good food

I found searching for what to order at a restaurant is often much more tedious than it needed to be, especially when you can't remember what you ordered last time. What's Good lets you review menu items for a restaurant in under 15 seconds, to see what others liked, see what you liked, & see what you didn't like, so next time that decision of "What should I order!?" will be easy and delicious.



Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

What’s New

Version 1.2.2

Changes to What's Good:
- Fixed bug some users were experiencing when creating a new review on iOS 18.x

Ratings and Reviews

4.0 out of 5
4 Ratings

4 Ratings

Radio_Flyer ,

Lots of Potential!

I’m really enjoying this app as it focuses on the food. I’m tired of scanning through all Yelp reviews that complain about the ambiance, etc to find something good to eat. Sometimes it’s all about the food and this app does exactly that! Only downside is it’s new and the content is somewhat limited. That being said, it’s easy to use and it’s going to be huge!

myfsn ,

works only in a few cities

You might as well use yelp then to loose 12 bucks to this worse scam app

App Privacy

The developer, Vilidea, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Identifiers

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Location
  • Contact Info

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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