Home / Alternatives to Cook'd Apps Like Cook'd for iPhone and iPad Order food and groceries affordably
Order food from local restaurants with budget-friendly pricing and no extra fees. Choose delivery to designated student residences or pickup at any location. Set delivery times to ensure meals arrive within specified windows.
by Atman Ventures ★ 5.0 39 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 541–560 of 1,000 ranked alternatives.
Multix inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
kunshan Youcai Technology Co., Ltd.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
HARRIETTE FOODS LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nordic Venture Lab Ltd
★ 2.5 2 ratings Food & Drink Free Data updated 2026-09-21
Industex SL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Foodoor Enterprises LLP
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
MunchEm, Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-17
MunchEm, Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-21
Metavoria LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Snap Food Corp
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
YAKOV LIBMAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FoodMall Application Services Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vijaysinh Dubal
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
DRJ USA CORPORATION
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Dominate LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
E-BRAIN SOLUTIONS, MCHJ
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Nerina Serra
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-25
Cool delivers LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Leftovers ApS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Waan Distribution Limited
★ 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.
Previous Next