Lighter Tomorrow app icon

Apps Like Lighter Tomorrow for iPhone and iPad

by Rest Rise Grow, Inc★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 721–740 of 1,000 ranked alternatives.

  1. RISE. app icon

    RISE.

    Dan Leach

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. UncommonBreed Coaching app icon

    UncommonBreed Coaching

    Lloyd Welch

    Customize workouts and track progress

    Access personalized nutrition plans, customized workouts, and daily habit tracking. Receive weekly check-ins and guidance for competition prep, muscle gain, and fat loss. Support total body recomposition through structured sessions.

    ★ 5.01 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Fitly: Calories & Workouts AI app icon

    Fitly: Calories & Workouts AI

    Mitologic sp. z o.o.

    Track progress, set goals, and stay consistent

    Track fitness goals and progress with personalized workout plans and nutrition guidance. Set and adjust goals based on individual progress. Receive AI-driven feedback and encouragement. Log and meals to monitor habits.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  4. Be Well World app icon

    Be Well World

    Dialogue Technologies Inc

    Build habits, track progress, stay healthy

    Track daily activities and set fitness goals. Access personalized workout plans and activity challenges. Monitor progress with visual reports. Receive evidence-based tips for improving physical and mental -being.

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. Stridist for Clients app icon

    Stridist for Clients

    Stephen Craven

    Chat with coach, follow program, track progress

    Chat with your coach via private messages. Ask questions and receive feedback on program activities. Track meals using photo-based logging. Sync with wearables via HealthKit and CareKit.

    ★ 3.52 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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