Home / Alternatives to iFunRecord Apps Like iFunRecord for iPhone and iPad
by 阳 孙 ★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-27
Ranked alternatives Showing 201–220 of 1,000 ranked alternatives.
DigitalKind Ltd
★ 3.0 2 ratings Lifestyle Free Data updated 2026-09-09
Masaya Fukuyama
★ 4.0 3 ratings Health & Fitness Free Data updated 2026-09-06
PCMIS HEALTH TECHNOLOGIES LTD
★ 1.9 19 ratings Health & Fitness Free Data updated 2026-09-09
洪狮 林
★ 5.0 11 ratings Lifestyle Free Data updated 2026-09-06
Alper Selen
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Ethan Marshall
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Tencent Technology (Shanghai) Company Limited
★ 5.0 1 ratings Photo & Video Free Data updated 2026-09-10
kazu kaneko
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
KYUNGHWAN KIM
★ 0.0 0 ratings Lifestyle Free Data updated 2026-09-06
Sociaaal LLC
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
FUGU INNOVATIONS JAPAN CO., LTD.
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
hideko ogawa
Record smoke intervals and track time between
Track intervals with a simple press of the + button. Display elapsed time since last use and show daily days in a graphical format. Supports Apple Watch integration and offers 12 theme colors. No login required and data is stored locally.
★ 4.8 22 ratings Health & Fitness Free Data updated 2026-09-12
Dongwoo Choi
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Siyu Chen
★ 5.0 2 ratings Lifestyle Free Data updated 2026-09-06
忆倩 刘
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
Albert Savard
★ 0.0 0 ratings Productivity Free Data updated 2026-09-06
Techin Park
★ 5.0 4 ratings Photo & Video Free Data updated 2026-09-06
Hardcoreamature.com, llc
★ 5.0 1 ratings Lifestyle Free Data updated 2026-09-06
Dominic Barra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-09
Kyuhyoung Shim
★ 0.0 0 ratings Entertainment $1.99 Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
Previous Next