Home / Alternatives to Revs Apps Like Revs for iPhone and iPad Order cocktails and enjoy meals
Access exclusive -only deals and free drinks and food. View news and content about favorite bars. Save favorite items in a personal section. Find details about preferred venues and upcoming events.
by The Revel Collective PLC ★ 4.2 144 ratings Food & Drink Free Data updated 2026-09-19
Ranked alternatives Showing 861–880 of 1,000 ranked alternatives.
FOOD HUB GROUP LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ABID MOHAMMAD ALI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Noble Idea Solution LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Theloyaltyco.app LTD
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Caterspot Singapore Pte. Ltd.
★ 1.0 1 ratings Food & Drink Free Data updated 2026-10-15
1000198969 Ontario Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Frostbyte Technologies, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
NAKKO b.v.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Daniel Starck Lorenzen
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
KEVIN OZSIMSEK
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vigleik Steinar Voll
★ 1.0 1 ratings Utilities Free Data updated 2026-09-17
瑀璐 陈
★ 0.0 0 ratings Games Free Data updated 2026-09-06
Luca D'Amico
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dazzling Web Planet Ltd
★ 0.0 0 ratings Food & Drink 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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