Home / Alternatives to Lims Cafe Apps Like Lims Cafe for iPhone and iPad
by Azinova Technologies Pvt. Ltd ★ 1.0 1 ratings Food & Drink Free Data updated 2026-09-09
Ranked alternatives Showing 621–640 of 1,000 ranked alternatives.
IHYBRID LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anbe Tech Solutions Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
Order coffee, breakfast, and pastries
Order coffee, breakfast, and pastries through the . Pay using Apple Pay. Earn rewards with each purchase. Select quick pickup to avoid waiting. View order status and track delivery.
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Cafe 641 Corp.
★ 3.0 2 ratings Food & Drink Free Data updated 2026-09-06
ASIK ALI
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hazlnut, LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
NIU MEDIA ADZHENSI, UKRAINA, PP
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Patria Food Services LLC
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Roxy & Co. Inc.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
ERNESTO EDUARDO MAY GARCIA
★ 4.0 1 ratings Food & Drink Free Data updated 2026-09-06
Cakes Enterprise LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Incentivio, Inc.
★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-06
MEGABEE SAL
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Unisoft Solutions Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hungrrr Apps LTD
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
Per Diem Subscriptions, Inc.
★ 5.0 3 ratings Food & Drink Free Data updated 2026-09-06
Moduurn Mobility Inc
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
zixin chen
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
ABDULLAH TUQAN
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Techverx LLC
★ 5.0 1 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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