HiCoffee - Caffeine Tracker app icon

Apps Like HiCoffee - Caffeine Tracker for iPhone and iPad

Track intake and calculate doses

Track daily intake with a built-in Calculator that estimates amounts in homemade brews. Log consumption from various beverages. Set personalized daily limits based on sensitivity. Receive tailored advice to manage intake effectively.

by 弓 张★ 4.8838 ratingsHealth & FitnessFreeData updated 2026-09-24

HiCoffee - Caffeine Tracker screenshots

Ranked alternatives

Showing 321–340 of 1,000 ranked alternatives.

  1. Aviato: Jet Lag & Sleep Coach app icon

    Aviato: Jet Lag & Sleep Coach

    Aster Hills LLC

    Adjust your schedule with a daily plan

    Create a personalized schedule to adjust to new time zones. Track light exposure, caffeine intake, and times. Follow daily steps to align your circadian rhythm with your destination. Adjust bedtime and wake-up times based on your travel plan.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. Reps: AI Fitness Coach app icon

    Reps: AI Fitness Coach

    Siddharth Natamai

    Track recovery, adjust workouts, stay informed

    Track recovery status based on sleep quality, heart rate variability, and training load. View daily Recovery Score to determine workout intensity. Generate personalized training plans and adjust based on real-time data.

    ★ 3.45 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. iMTracker app icon

    iMTracker

    University of Colorado Denver

    ★ 5.03 ratingsLifestyleFreeData updated 2026-09-15
  4. Habit OK: Tracker, Daily Goals app icon

    Habit OK: Tracker, Daily Goals

    Develife apps Limited

    Track habits, set reminders, check off

    Track habits with a simple check-off system. Set reminders and create 3-tap actions for quick progress. Monitor streaks and break bad habits through intentional tracking. Log observations and manage routines with a minimalistic interface.

    ★ 5.06 ratingsProductivityFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.