Home / Alternatives to CleanPlate NYC Apps Like CleanPlate NYC for iPhone and iPad
by Lukas Nunnery ★ 5.0 8 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 461–480 of 1,000 ranked alternatives.
TOURPLUS TECHNOLOGY SDN BHD
★ 2.5 2 ratings Travel Free Data updated 2026-09-20
Fificard, S.A. de C.V.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Austin Reiter
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
OCMP, Inc
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
LONG ISLAND CITY CAR & LIMO INC
★ 5.0 4 ratings Travel Free Data updated 2026-09-06
Shya Qader
★ 5.0 3 ratings Entertainment Free Data updated 2026-09-06
MunchEm, Inc
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-30
Muhammad Adeel Shehzad
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
David Wilton
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-26
Neeraj Krishnan
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Manish Chawla
★ 4.8 4 ratings Travel Free Data updated 2026-09-06
New York Cruise Lines Inc.
★ 5.0 3 ratings Travel Free Data updated 2026-09-06
Mohamed Hassan Ahmed ElSayed
★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-16
Targetable Sciences Inc.
★ 2.0 1 ratings Food & Drink Free Data updated 2026-09-06
Brianna Honeywell
★ 5.0 2 ratings Travel Free Data updated 2026-09-06
Tom Voitik
To the meal together
Create a group session to choose a restaurant with friends. Invite others to join and left or right on nearby dining options. A match is made when everyone selects the same spot. View restaurant details and make a reservation directly.
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
Muhammed Kibria
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Butter Technologies LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Grematech Communication
★ 0.0 0 ratings Navigation Free Data updated 2026-09-06
Jameel Amer
★ 3.0 2 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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