Home / Alternatives to Duffl Apps Like Duffl for iPhone and iPad Order snacks, drinks, and essentials in 10
Order groceries, snacks, and drinks for immediate delivery. Browse products, select items, and pay within the . Track orders and receive items within 10 minutes. Supports UCLA, USC, UC Berkeley, and University communities.
by Powered Ventures Inc. ★ 4.3 171 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 341–360 of 1,000 ranked alternatives.
New Gap On Line srl
★ 2.3 3 ratings Shopping Free Data updated 2026-09-17
PINOY HYPER CENTRAL FOODSTUFF MARKETS COMPANY
★ 5.0 1 ratings Shopping Free Data updated 2026-09-06
Davide William Thompson
★ 4.7 25 ratings Food & Drink Free Data updated 2026-09-06
Glass It LLC
★ 3.9 11 ratings Shopping Free Data updated 2026-09-06
Leto Technologies LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Oregon State Credit Union
★ 4.0 3 ratings Shopping Free Data updated 2026-09-06
Genius Creation Trading Incorporated
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Aishwarya Creative Films LLC
★ 5.0 17 ratings Shopping Free Data updated 2026-09-06
JACK CAPITAL SDN. BHD.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Linda Keene
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
MUNCHIEZ (PTY) LTD
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Guodong Lin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Rebwar Khalid
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Farooq Ahmed
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Deepa Sureshkumar
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Aafaq Ahmed
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sitki Deniz
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Mohsin Majeed
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Shabbir Miah
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dawood Bobra
★ 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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