Home / Alternatives to Java & Jam Apps Like Java & Jam for iPhone and iPad
by Tabit Technologies Ltd. ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Ranked alternatives Showing 601–620 of 1,000 ranked alternatives.
Archmore, Inc.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Traffick Digital Media, LLC
★ 4.5 2 ratings Food & Drink Free Data updated 2026-09-06
Sudzy inc
★ 4.0 2 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
★ 5.0 5 ratings Food & Drink Free Data updated 2026-09-06
Queen Anne Ave Juice and Coffee LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Amaezing, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BIG MOUTH MARKETING LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Traffick Digital Media, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Shah's Halal Franchising Inc
★ 3.3 9 ratings Food & Drink Free Data updated 2026-09-06
Forge Rewards Inc
★ 3.7 3 ratings Food & Drink Free Data updated 2026-09-06
Sudzy inc
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Sudzy inc
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Amaezing, LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
BIG MOUTH MARKETING LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Amaezing, LLC
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Gegsy, LLC
★ 4.9 13 ratings Food & Drink Free Data updated 2026-09-06
Chun-Yen Lin
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Frostbyte Technologies, Inc.
★ 5.0 6 ratings Food & Drink Free Data updated 2026-09-06
Curate Technologies, Incorporated
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
Queen Anne Ave Juice and Coffee LLC
Order , pay in-store or ahead
Make payments in-store or order ahead to skip lines. Earn Stars with each purchase to redeem free food and drinks. Track rewards and view balance within the .
★ 5.0 9 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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