Home / Alternatives to sprigg Apps Like sprigg for iPhone and iPad
by THE NEXT TEN LIMITED ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 561–580 of 1,000 ranked alternatives.
ARRO COFFEE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
SUSHI ICONS SP Z O O
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Kappture Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Camellia Capital LLC
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Wolfox Coffee Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-02
Menuro Restaurant Technologies Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
uengage services private limited
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
Order drinks and food securely
Order drinks and food from Co. Customize orders, skip lines, and pay with Apple Pay. Earn rewards with each visit. View order history and manage preferences.
★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-06
Cobus Meyer
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
BELLYMELLY SERVICES PRIVATE LIMITED
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
KAVE COFFEE BAR, LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-20
URBAN GRANGE COFFEE & BAKERY COMPANY
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-24
John Dorys
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-15
Culaccino, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sudzy inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
The Mexican Camel LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
FROSTY BASKET
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mullet Stebbins LLC
★ 5.0 3 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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