Home / Alternatives to Klynkz Apps Like Klynkz for iPhone and iPad
by BarTrac, Inc. ★ 5.0 2 ratings Food & Drink Free Data updated 2026-09-24
Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Anton Pustovidko
★ 4.6 18 ratings Food & Drink Free Data updated 2026-09-06
DAHLIA TECHNOLOGIES PRIVATE LIMITED
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Cleril Lyttle
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Siwoo Jung
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Wyatt Bodle
★ 5.0 1 ratings Food & Drink $2.99 Data updated 2026-10-08
ZHIPENG HU
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
MENULUX BILGI TEKNOLOJILERI TICARET LIMITED SIRKETI
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-11
BEEONTHETOP LTD
★ 3.6 5 ratings Food & Drink Free Data updated 2026-09-06
sayyaf Alqahtani
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hospitality AI, LLC
★ 5.0 4 ratings Business Free Data updated 2026-09-06
INTEGRATED UNITS PVT LTD
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Itech Pioneer Pty LTD
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
RETALIX USA, INC
★ 3.0 3 ratings Business Free Data updated 2026-09-10
Express Delivery Group Inc.
★ 5.0 1 ratings Food & Drink Free Data updated 2026-09-06
ialoc S.R.L.
Reserve tables and manage profiles
Manage reservations for restaurants, cafes, and pubs with online and offline booking. Track customer preferences and history. Offer personalized discounts and birthday rewards. Send notifications for reservations and updates.
★ 5.0 1 ratings Utilities Free Data updated 2026-09-13
Sibasi Ltd
★ 0.0 0 ratings Business Free Data updated 2026-09-06
Anil Yavuz
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Building PP OU
★ 4.8 12 ratings Health & Fitness Free Data updated 2026-09-06
Krzysztof Suchowski
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Hungrrr Dev 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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