Home / Alternatives to Sweet Dots Apps Like Sweet Dots for iPhone and iPad
by Dong Kim ★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 281–300 of 1,000 ranked alternatives.
ouigital
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
IHYBRID LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ahmad Sakr
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
AHMAD ASADI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jayesh Patel
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
瑀璐 陈
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
ZHIYONG Lu
★ 3.5 4 ratings Food & Drink Free Data updated 2026-09-11
FlavorHawk LLC
Order meals and explore local menus
Find nearby restaurants and view their menus. Search for specific dishes or cuisines. Rate meals to refine recommendations. Get personalized suggestions based on preferences. Navigate to recommended locations. Share favorite dishes with others.
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
MACHIDUKURI MATSUYAMA co.,ltd
★ 0.0 0 ratings Travel Free Data updated 2026-09-21
Amelia's Taqueria Inc.
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
IPUBLISH DEVELOPMENT DIS TICARET REKLAM LIMITED SIRKETI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
JIMMY LEE NELMS
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Ruckus Cafe LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
REDOQ SOFTWARE SERVICES PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Fragranze Games Ltd
★ 4.5 2 ratings Games Free Data updated 2026-09-09
Multiple Applications LLC
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Mashari Al-Samra
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
Kelvin Osayemwenre
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ashraf Naveed
★ 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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