Home / Alternatives to Eats365 Apps Like Eats365 for iPhone and iPad
by 365 TECHNOLOGIES HOLDING LIMITED ★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-09
Ranked alternatives Showing 341–360 of 1,000 ranked alternatives.
FABRIC INFORMATION TECHNOLOGY
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Nasrawi Group 1, INC.
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-09
Sameer Shaik
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Carl Andren
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-06
NIRVANA XP INC.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Jimena Somoano
Find restaurants based on mood and cravings
Find nearby restaurants based on mood, preferences, and cravings. Get real-time updates from trusted sources. Save favorite spots and share discoveries with others. Receive AI-driven recommendations for dining options.
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
GonnaOrder B.V.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sharma Vikash
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Zig360 LLC
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Quadprosoft technologies Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Murray's Delicatessen INC
★ 4.5 2 ratings Food & Drink Free Data updated 2026-09-06
ChowNow, LLC
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-08
Tasti app (pty) ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Webixun Infoways Private Limited
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
ShapYa Inc.
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
ShapYa Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
D FOOD HUTZ LTD
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Mohit Mali
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Snappy Innovation Inc.
★ 1.0 3 ratings Food & Drink Free Data updated 2026-09-06
SpeedLine Solutions, Inc
★ 3.2 4 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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