Peek: Earn from passion app icon

Apps Like Peek: Earn from passion for iPhone and iPad

Create, tokenize, and share collections

Create collections of images or tweets related to personal passions like arts or cats. Tokenize collections to receive rewards. Share projects, launch collections for support, and trade with others to influence trends.

by Daydream Studio Inc.★ 5.02 ratingsSocial NetworkingFreeData updated 2026-09-06

Ranked alternatives

Showing 841–860 of 1,000 ranked alternatives.

  1. MeoWorld app icon

    MeoWorld

    Shimu Intelligent Technology Co., Ltd.

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  1. Tictar app icon

    Tictar

    Shenzhen Xingjule Network Technology Co., Ltd

    ★ 0.00 ratingsEntertainmentFreeData updated 2026-09-06
  2. Campers app icon

    Campers

    Lib-Media SA

    Connect with motorhome enthusiasts worldwide

    Connect with motorhome enthusiasts globally. Send private messages, join events, and seek mechanical advice. Share travel experiences and locate friends worldwide. Access free messaging and event discovery features.

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06
  3. PassChat app icon

    PassChat

    JustPic LVR Private Limited

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

    Tipsey

    FocustApps LLC

    Tip to artists securely and instantly

    Send tips to musicians and creators using secure Stripe payments. View artist profiles, select tip amounts, and confirm transactions. Share tips directly from the without needing a wallet.

    ★ 0.00 ratingsMusicFreeData updated 2026-09-06
  5. Freebird - Private Tweet Links app icon

    Freebird - Private Tweet Links

    Happilys, LLC

    Share to tweets privately

    Share to tweets outside of Twitter with password protection and expiration dates. Set access permissions and track link views. Export tweets as PDF or text files.

    ★ 0.00 ratingsProductivity$2.99Data updated 2026-09-06

How we rank alternatives

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