Home / Alternatives to KOFOOD Apps Like KOFOOD for iPhone and iPad
by MATRESHKA BREND, OOO ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
KAIF, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MATRESHKA BREND, OOO
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
MATRESHKA BREND, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
EDVIL KHOSPITALITI, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KAIF, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
GASTRONOMIYA, OOO (Moscow)
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DARIUS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SCHASTE2020, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
PRESTO, OOO (Moscow)
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Igor Shalamov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
NOVYE TEKHNOLOGII APPS, OOO
★ 4.7 71 ratings Food & Drink Free Data updated 2026-09-06
Restoran Grupp OOO
★ 3.0 31 ratings Food & Drink Free Data updated 2026-09-06
MATRESHKA BREND, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MNE BY V KOSMOS, OOO,
★ 4.2 5 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
MNE BY V KOSMOS, OOO,
★ 5.0 8 ratings Food & Drink Free Data updated 2026-09-06
Natalya Nuzhdina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
LLC COREX
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
KAIF, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Olecsii Chechel
★ 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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