Home / Alternatives to MealHack.ai Apps Like MealHack.ai for iPhone and iPad
by DANIEL PETER MARCUS ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 601–620 of 1,000 ranked alternatives.
Vitjan Puksic
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Agentic Panda
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Vo Minh Tuan Nguyen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
JAMSoft Inc
★ 4.0 1 ratings Food & Drink $1.99 Data updated 2026-09-06
MAXIME VAN EIJNDHOVEN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Duy Nguyen
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-11
Robbie Malloy
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Khaled Benamor
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Eduard Bulava
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Bryan Jeffrey Martin
Plan meals, shop, and cook without clutter
Organize and store recipes from the web with ad-free, clutter-free viewing. Plan weekly meals, generate shopping lists, and save favorite dishes. Import, edit, and categorize recipes without subscriptions or ads. Share recipes with others securely.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Farid Fakhnavar
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Danielle Lima
★ 4.0 3 ratings Health & Fitness Free Data updated 2026-09-06
Monkey Skates, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Elisa Valeria Distefano
★ 0.0 0 ratings Food & Drink $2.99 Data updated 2026-09-06
Epistemion LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Unraveled Studio LLC
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Chize LLC (Apps)
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
Gianni Neves
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Max Gregori
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Daniel Lao
★ 3.0 5 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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