CAOS – link up & do stuff app icon

Apps Like CAOS – link up & do stuff for iPhone and iPad

Share content, connect, and engage locally

Users can create profiles, join groups based on shared interests, and participate in activity-based interactions. Post content, comment on activities, and follow others. Earn and spend tokens for engagement. Connect with local users in Munich.

by CAOS Network UG (haftungsbeschraenkt)★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. 高登 app icon

    高登

    Alive Media & Communications Limited

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

    Cream

    Cream Social LLC.

    ★ 5.05 ratingsSocial NetworkingFreeData updated 2026-09-06
  3. Arhab app icon

    Arhab

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    ★ 5.01 ratingsSocial NetworkingFreeData updated 2026-09-06
  4. BETdat! app icon

    BETdat!

    BETdat Holdings, LLC

    ★ 5.03 ratingsSocial NetworkingFreeData updated 2026-09-06
  5. U-Crew app icon

    U-Crew

    U-Crew Ltd

    ★ 5.02 ratingsSocial NetworkingFreeData updated 2026-09-06
  6. RetroDate app icon

    RetroDate

    RetroDate, Inc

    Find matches through retro profiles

    Connect with others through curated profiles and themed matchmaking. Browse and message users based on shared interests and retro-style interactions. Customize preferences and receive personalized matches.

    ★ 5.06 ratingsLifestyleFreeData updated 2026-09-06
  7. Taigun app icon

    Taigun

    Sun Huang

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06
  8. MyINSEAD app icon

    MyINSEAD

    INSEAD

    Connect with peers, access content, and grow

    Personalised networking allows users to connect with alumni, students, and professionals. Search for individuals using an optimised directory. Access tailored content based on user interests. Stay updated with community events and news.

    ★ 5.04 ratingsEducationFreeData updated 2026-09-06

How we rank alternatives

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