Home / Alternatives to Single@ Apps Like Single@ for iPhone and iPad
by REMOTEX SERVICES LLP ★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Ranked alternatives Showing 701–720 of 1,000 ranked alternatives.
Chaya Development LLC
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Nujud Mohammed
★ 0.0 0 ratings Entertainment Free Data updated 2026-09-06
Skyloom Tech Ltd
★ 4.0 3 ratings Lifestyle Free Data updated 2026-09-06
Cursor Kittens LLC
★ 5.0 4 ratings Lifestyle Free Data updated 2026-09-06
Hidazz Inc.
★ 4.0 4 ratings Lifestyle Free Data updated 2026-09-06
Omer Duman
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Busity
★ 3.0 2 ratings Social Networking Free Data updated 2026-09-06
12824418 Canada Inc.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Blossom Technology Limited
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Kyle Young
★ 5.0 4 ratings Lifestyle Free Data updated 2026-09-06
艳 胡
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
ETWINTECH LTD
★ 3.4 5 ratings Lifestyle Free Data updated 2026-09-06
Rafia Hossain Anika
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
周洋 袁
★ 0.0 0 ratings Utilities $0.99 Data updated 2026-09-06
Francisco Albuquerque
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Eddie Pratt
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Ian Akio Melo Shimabukuro
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
APPTERM TEKNOLOJI LIMITED SIRKETI
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
FUNTASTIC CONNEXIONS PRIVATE LIMITED
Meet new members and connect with matches
Connect with verified members through a curated community focused on relationships. Filter and meet others with similar interests and intentions. Arrange meetings at venues. Use a personalized matchmaking feature to find compatible partners.
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
The Screamin Peach II INC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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