Sluff App app icon

Apps Like Sluff App for iPhone and iPad

Find activities, see friend likes, locate places,

Find local activities and events. View friend preferences to discover shared interests. Locate nearby venues for group activities. Create custom groups for tailored recommendations. Share and discuss ideas with connections.

by Sluff LLC★ 4.79 ratingsSocial NetworkingFreeData updated 2026-09-06

Sluff App screenshots

Ranked alternatives

Showing 901–920 of 1,000 ranked alternatives.

  1. JoinX-让热爱不止于加入 app icon

    JoinX-让热爱不止于加入

    Shanghai Xingji Lechao Network Technology Co., Ltd

    Find groups, connect with like-minded people

    Connect with others through shared interests in sports and lifestyle. Create and join groups based on hobbies. Discover local events and organize gatherings. Share updates and interact with friends.

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06
  2. PubHead app icon

    PubHead

    Legacy IT Consultants Limited

    Check in, earn points, climb leaderboards

    Find nearby pubs or search by location to plan visits. Check in to earn points and build a favorites list. Rate and post photos to gain more points. Compete with friends on leaderboards.

    ★ 5.01 ratingsFood & DrinkFreeData updated 2026-09-28
  3. Auglinn app icon

    Auglinn

    Hour Hand OU

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06
  4. Kite App app icon

    Kite App

    App to you srl

    Kite surf community and spot reports

    The app allows users to discover selected kite surfing spots and interact with a community of kiters. Users can view live reports on spot conditions and receive notifications about new posts.

    ★ 1.01 ratingsSportsFreeData updated 2026-10-23
  5. Zoomies app icon

    Zoomies

    Anatolii Pribytkov

    ★ 0.00 ratingsEntertainmentFreeData updated 2026-09-06
  6. Scene ON app icon

    Scene ON

    Scene On Private Limited

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.