Home / Alternatives to Хочука Apps Like Хочука for iPhone and iPad
by Nikita Alekhin ★ 4.5 22 ratings Food & Drink Free Data updated 2026-10-22
Ranked alternatives Showing 441–460 of 1,000 ranked alternatives.
BELLINI IT SYSTEMS LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Napoleon IT LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-28
Nazad V Budushchee, OOO
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Alexandr Shcherbakov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia Limonova
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-22
Maria Sumaneeva
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nina Yarmolavichus
★ 1.0 2 ratings Food & Drink Free Data updated 2026-09-06
CANVAS, TOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitriy Aleksandrov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alexandr Pyutsep
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-06
Olecsii Chechel
Order poke, rolls, and chef dishes deliver
Order food delivery including poke, rolls, and chef's dishes. Browse detailed menus with ingredient descriptions and photos. Place orders for home delivery or pickup. Share menu pages on social media. View order status and track delivery.
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-24
Alekberova Zahra
★ 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
PLATINA, OOO
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
MEINBREIN, OOO
★ 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
Matvei Afanasiev
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 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
WORLDWIDE MEDIA MChJ
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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