Home / Alternatives to Desi Eats Apps Like Desi Eats for iPhone and iPad
by One-Digital IT Solutions Pte Ltd ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 461–480 of 1,000 ranked alternatives.
REDOQ SOFTWARE SERVICES PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kai Chi Tsao
★ 0.0 0 ratings Food & Drink $0.99 Data updated 2026-09-06
Hungrrr Dev Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
D&H Media Services Pty Ltd
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Uniworld Technologies Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
AppBuildChat Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dany Elhamra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Takemax LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ginilab Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-13
STEPHEN CLIVE PHILLIPS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
AHMAD SARBAST HAMEED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KRKS Solutions LLC
Order food and earn rewards
Order food with options to customize dishes and select delivery or pickup. Track order status and view restaurant menus. Earn reward points and redeem coupons. Book tables for dining reservations.
★ 4.0 4 ratings Food & Drink Free Data updated 2026-09-06
5loyalty Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
5loyalty Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HUNGRRR LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Indian Delhi Palace Inc.
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
VRINDI INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
SUGUNA FOODS PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Uniworld Technologies Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ORDABLE W.L.L
★ 5.0 2 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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