Home / Alternatives to K-Wings Apps Like K-Wings for iPhone and iPad
by Appfront A.I. LTD ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 541–560 of 1,000 ranked alternatives.
Cruzstar LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-10
Cruzstar LLC
★ 1.0 2 ratings Food & Drink Free Data updated 2026-09-12
Curate Technologies, Incorporated
★ 4.5 6 ratings Food & Drink Free Data updated 2026-09-06
NIU MEDIA ADZHENSI, UKRAINA, PP
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Wing Brothers LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Appofy Corp
Order and browse the menu
Browse menu items and place orders for pickup or delivery. Customize with milk types, sweeteners, and flavors. Earn rewards for frequent purchases and track points. View drink details and ingredients. Share orders with others.
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Cruzstar LLC
★ 1.0 2 ratings Food & Drink Free Data updated 2026-09-10
David Gray
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Cruzstar LLC
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
Nikolic Bojan
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Son Of A Mad Man LLC
★ 4.7 3 ratings Shopping Free Data updated 2026-09-06
koein
★ 3.3 7 ratings Food & Drink Free Data updated 2026-09-06
Mr.Jaybee's Wings N Things LLC
★ 5.0 12 ratings Food & Drink Free Data updated 2026-09-06
KRKS Solutions LLC
★ 3.3 6 ratings Food & Drink Free Data updated 2026-09-14
JOHNSON GIANT FOOD INC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
VRINDI INC.
★ 1.5 12 ratings Food & Drink Free Data updated 2026-09-06
BELLYMELLY SERVICES PRIVATE LIMITED
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Nice Day Group, Inc.
★ 1.0 1 ratings Shopping Free Data updated 2026-09-06
Frank Conforti
★ 5.0 7 ratings Food & Drink Free Data updated 2026-09-10
Incentivio, Inc.
★ 4.9 15 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