Home / Alternatives to 커피:니 멤버스 Apps Like 커피:니 멤버스 for iPhone and iPad Order drinks, earn stamps, redeem rewards
Track coffee purchases with stamps and Blue points. Redeem stamps and Blue for discounts and free drinks. View coupons, check membership status, and find stores. Make mobile orders and gift cards. Receive event updates and promotions.
by Waldlust Co., Ltd. ★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-18
Ranked alternatives Showing 1–20 of 1,000 ranked alternatives.
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
HONESTY
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
The Venti Korea Inc.
★ 3.5 2 ratings Food & Drink Free Data updated 2026-09-06
Wylie Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Banaple F&B
★ 2.0 4 ratings Food & Drink Free Data updated 2026-09-14
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
changhyun Hong
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
seeScompany
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Theborn Korea Co., Ltd.
★ 2.2 6 ratings Lifestyle Free Data updated 2026-09-15
Waldlust Co., Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Korea Certification Service Inc.
★ 2.3 3 ratings Food & Drink Free Data updated 2026-09-06
ROSSO co.,Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
BKR Co., Ltd.
★ 1.0 3 ratings Food & Drink Free Data updated 2026-09-06
Swing2App Co. Ltd.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
Waldlust Co., Ltd.
★ 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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