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 721–740 of 1,000 ranked alternatives.
KAPPS Limited Liability Company
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Sparkleap AS
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Matthew Stovall
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
NATHANIEL MICKY CHEN
★ 5.0 2 ratings Food & Drink $0.99 Data updated 2026-09-21
Juket LTD
★ 0.0 0 ratings Social Networking Free Data updated 2026-09-06
Lisa Welsch
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Yudai Nishikawa
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Aptul Samet Birinci
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
UKR HRAND TOV
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jared Hanstra
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Fynn Becker
Find , plan meals, shop smart
Create personalized recipe books based on dietary needs and cooking skills. Search for by ingredient, cuisine, or meal type. Get step-by-step cooking instructions and nutritional information. Save and organize favorite . Share meals with others.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ahmad Itani
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
GOKHAN GOKCAY
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jacques St-Cyr
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Two Stones, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Rethinking.Studio
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ryan Clements
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
AMZ Creative Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Elizabeth Rider International, Inc.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Alexandr Peancovschi
★ 5.0 1 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