Home / Alternatives to Cho | Казань Apps Like Cho | Казань for iPhone and iPad
by 500NA700, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-23
Ranked alternatives Showing 321–340 of 1,000 ranked alternatives.
Vladislav Pertsev
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
SMARTPIKASSO, TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LABORATORIYA IKS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Limonova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPS GRUPP, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
Order sushi and rice bowls
Order sushi, rolls, soups, and rice dishes with halal-certified ingredients. Customize orders with spice levels and dietary preferences. Track delivery status and view nutritional information. Share orders with others and leave reviews.
★ 4.9 27 ratings Food & Drink Free Data updated 2026-09-06
MARAT MUKHAMETDINOV
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PLAN-B, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nazad V Budushchee, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasiya Grigoreva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitry Ivanov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-13
Ian Sorminskii
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 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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