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Screenshots

  • Pyfl - Favorite places map screenshot 1
  • Pyfl - Favorite places map screenshot 2
  • Pyfl - Favorite places map screenshot 3
  • Pyfl - Favorite places map screenshot 4

About Pyfl - Favorite places map

Create the map of your favorite places (restaurants, bars, cafés, brunch places, shops, parks…) and get recommendations from your friend's map. Pyfl (Places Your Friends Like) gives you personal recommendations from people you trust, not random anonymous 5-star reviews. Why we built Pyfl? We like to go to places our friends suggested much more than to go to a place pushed by anonymous (and questionably trustworthy) sources. First, you know your friends and it's much easier to know why they suggest a place. You know their taste and you know if you trust their "best burger of the town" rating. It's a much more personal way of discovering new places. There is no "smart" algorithm in Pyfl that decides a restaurant is good for you. How you can use Pyfl: - Remember your favorite places - Organize your places into lists - List the places you go to lunch to with colleagues - Get suggestions from your friends for a nicer dinner - When traveling, get recommendations from friends who have already been there - Get recommendations from the magazines and brands you trust - Discover the most popular places in your group of friends. How to use Pyfl? - Sign up to create an account. - Your map displays both your favorite places and your friends favorite places - Use the Add button to add places you like to your map - Use the Discover tab to find nearby recommendations from your network. - Use the Find People link in the Discover tab to find people by name. Feedback more than welcome at [email protected]!

Ratings & reviews

4.8

33 ratings

5 ★ 88% 4 ★ 6% 3 ★ 3% 2 ★ 3% 1 ★ 0%

What’s new

Version 1.4.0 · Updated October 10, 2026

- Keep saved places private so only you can see them. - Create lists from your Lists screen and choose which saved places to add. - Confirm before removing a saved place.

App privacy

The developer, The Grizzly Labs, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Contacts: Contacts
  • Location: Coarse Location
  • Contact Info: Email Address, Name
  • User Content: Other User Content

Used for: Product Personalization, App Functionality

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction
  • Diagnostics: Crash Data

Used for: Analytics, App Functionality

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