Home / Alternatives to AkashMB Apps Like AkashMB for iPhone and iPad Order food from favorite restaurants
Order food from preferred restaurants. The shows available restaurants based on location. Users can check if a restaurant is ready to take orders and place meals quickly.
by 1435 ALTON ROAD LLC ★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-21
Ranked alternatives Showing 661–680 of 1,000 ranked alternatives.
SIMBISA INTERNATIONAL FRANCHISING LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Arvind Mohan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Storax Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HERBS & SPICES EDINBURGH LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
OZ 93 LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Technologies UEAT Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ORDER SYSTEMS FOR COMMUNICATIONS AND INFORMATION TECHNOLOGY CO.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
EMCAN-TEC INFORMATION TECHNOLOGY CO. W.L.L
★ 0.0 0 ratings Entertainment Free Data updated 2026-10-04
mohammed yaor boksh
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Rajdhani Express Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-27
RUDRI LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hemin Ahmed
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MunchEm, Inc
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Eatzy, LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Sparissimo Holding LTD
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Fish Me Fisketorget AS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SLERP LIMITED
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MealDash
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MealDash
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Ubsidi Limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-16
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next