Home / Alternatives to Recommends.app Apps Like Recommends.app for iPhone and iPad
by Nima GOLZAR-SOUFIANI ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 661–680 of 1,000 ranked alternatives.
Cheuk Yin Mong
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Assamad Ashim
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Uncook Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SURGESLAMCO PRIVATE LIMITED
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MASSI JAMAL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Swype Systems Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
William Luders
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Beyond The Bottle Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Keep Creating LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Humanized AB
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-17
PANPAN DELIVERY CO., LTD.
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Caliph Digital Ltd
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
POSTCARD TECHNOLOGIES, INC.
Plan trips, save favorites, share discoveries
Plan trips by saving favorite destinations and creating itineraries. Share travel experiences with friends and communities. Get curated recommendations from brands, influencers, and experts.
★ 5.0 2 ratings Travel Free Data updated 2026-09-06
Thomas Mann
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Kodanka AB
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hideaki Murasawa
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Joi LLC.
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Adhoc Softwares Private Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BANKFIELD INTEGRATED CONCEPT LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sand Dollar Apps LLC
★ 5.0 1 ratings Food & Drink $2.99 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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