Home / Alternatives to Trinki Apps Like Trinki for iPhone and iPad
by Noel Weinberg ★ 0.0 0 ratings Health & Fitness $1.99 Data updated 2026-09-06
Ranked alternatives Showing 761–780 of 1,000 ranked alternatives.
Grosvenor Pubs Trading Limited
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Rarity GmbH
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
EYWIN BILGI TEKNOLOJILERI ANONIM SIRKETI
★ 3.7 3 ratings Health & Fitness Free Data updated 2026-10-11
Elisey Ozerov
★ 0.0 0 ratings Utilities Free Data updated 2026-09-06
Matthew Leonard
★ 5.0 2 ratings Health & Fitness Free Data updated 2026-09-06
84cs, d.o.o.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Emo Media GmbH
★ 2.0 1 ratings Lifestyle Free Data updated 2026-09-11
Trisphere Apps LLC
★ 5.0 2 ratings Utilities $1.99 Data updated 2026-09-06
Vladislav Danilov
★ 0.0 0 ratings Health & Fitness $0.99 Data updated 2026-09-06
Alphaved Private Limited
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Gecko Studios Ltd.
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Samir Thapa
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Alec Wilson
★ 5.0 2 ratings Productivity Free Data updated 2026-09-06
Mohammed Saleh Sablal
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Okan Aktas
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
50th & 2nd LLC
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Bespoke Inns 2020 Ltd
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-27
Shenzhen DingCheng Litian Technology Co.,Ltd.
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Joshua Brocato
★ 5.0 1 ratings Health & Fitness Free Data updated 2026-09-06
Samuel Rozzi
Record drinks with organized details easily.
The app provides a simple interface for recording drinks, including name, type, ABV, notes, and rating. It offers iCloud backup and no advertisements or in-app purchases.
★ 5.0 4 ratings Food & Drink $0.99 Data updated 2026-10-19
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next