Home / Alternatives to Кафе «Ассорти» Apps Like Кафе «Ассорти» for iPhone and iPad
by Andrey Ratushniy ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
Кафе «Ассорти» screenshots Ranked alternatives Showing 141–160 of 1,000 ranked alternatives.
PARTNER SBIS, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vladislav Pertsev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-14
Daniel Simons
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Ivan Kataev
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Perminova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ekaterina Mazenina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nikita Malshchukov
★ 4.3 6 ratings Business Free Data updated 2026-09-24
Ekaterina Mazenina
★ 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
Nikita Petrov
Order meals and get free delivery
Order meals with daily fresh home-cooked dishes including soups, hot meals, salads, and desserts. Choose delivery to home or office. Access a rotating monthly menu with no repeats. Place orders for durations from 2 to 30 days.
★ 2.8 9 ratings Food & Drink Free Data updated 2026-10-14
Oleg Novikov
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-23
ANUSH PETROSYAN
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Vitaly Pechnikov
★ 3.0 1 ratings Food & Drink Free Data updated 2026-09-06
Mikhail Kazakov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Veronika Grisina
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alexander Shekhtman
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ivan Vostrikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FIDBEK, OOO
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Anastasia Limonova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-24
FUDSOUL, OOO
★ 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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