CupDose - Caffeine Tracker app icon

Apps Like CupDose - Caffeine Tracker for iPhone and iPad

by LODYWORKS★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 141–160 of 1,000 ranked alternatives.

  1. Caffeine Tracker - BrewScan app icon

    Caffeine Tracker - BrewScan

    IPAPPS LTD

    Log intake and track history

    Log beverages by selecting types such as coffee, tea, energy drinks, or soda. View daily and weekly intake history. Receive AI-generated insights to adjust consumption for better energy and sleep. Set reminders and track hydration alongside intake.

    ★ 5.01 ratingsHealth & FitnessFreeData updated 2026-09-06
  1. NextBand app icon

    NextBand

    Xiamen Linktop Technology Co., Ltd.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. CoffZeo - Coffee Caffeine Log app icon

    CoffZeo - Coffee Caffeine Log

    CodeZeo Ltd

    Track intake and sleep patterns

    Track intake with detailed logging of and espresso consumption. Calculate optimal stop times based on half-life. Monitor sleep patterns and sync with sleep tracking apps. Set daily limits and receive notifications to avoid late-day .

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Clairoe: Sleep & Balance app icon

    Clairoe: Sleep & Balance

    Arcascope Inc

    Set goals and track progress

    Tracks patterns and circadian rhythms using data from Apple Health and motion sensors. Provides personalized recommendations on light exposure, eating times, and caffeine intake.

    ★ 4.450 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Fitatu AI Calorie Counter app icon

    Fitatu AI Calorie Counter

    Fitatu sp. z o.o.

    Capture food, track calories, adjust details

    Take a photo of your meal and analyze it for , weight, and macro estimates. Specify food items to adjust measurements. Export detailed nutritional data and track progress over time.

    ★ 4.8303 ratingsHealth & FitnessFreeData updated 2026-09-10

How we rank alternatives

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