LinkNLift app icon

Apps Like LinkNLift for iPhone and iPad

by Jeremy Spiller★ 5.05 ratingsHealth & FitnessFreeData updated 2026-09-06

Ranked alternatives

Showing 341–360 of 1,000 ranked alternatives.

  1. Stronger with Samm app icon

    Stronger with Samm

    Sutra Fitness, Inc.

    Train personalized workouts and challenges

    Mobility workouts help improve flexibility and range of motion. Strength training builds muscle and endurance. Conditioning exercises enhance cardiovascular fitness. Track progress weekly challenges and personalized feedback.

    ★ 5.06 ratingsHealth & FitnessFreeData updated 2026-09-06
  2. e-Gym app icon

    e-Gym

    Crete Software Solutions

    ★ 0.00 ratingsHealth & FitnessFreeData updated 2026-09-06
  3. Spotter: Find Fitness Buddies app icon

    Spotter: Find Fitness Buddies

    Meraki Softworks LTD

    Partners and track workouts

    Gym and connect with local enthusiasts. Join group sessions to schedule and participate in workouts. Track progress and receive motivational reminders to stay consistent. Share achievements and receive feedback from the community.

    ★ 0.00 ratingsSocial NetworkingFreeData updated 2026-09-06
  4. Interval Timer for Exercise app icon

    Interval Timer for Exercise

    AZTTY LLC

    Time intervals for structured workouts

    Smart automates work, rest, and recovery periods for HIIT, Tabata, CrossFit, EMOM, AMRAP, and bodyweight workouts. Users can customize session durations, track progress, and receive audio cues.

    ★ 4.84 ratingsHealth & FitnessFreeData updated 2026-09-06
  5. RABL: Personal Home Trainer app icon

    RABL: Personal Home Trainer

    Rabl, Inc

    Train with certified coaches in 20 minutes

    Create personalized workout plans with Certified Trainers. Track progress with goal setting and session logging. Access expert guidance and complete 20-minute workouts anytime. Sync fitness data across devices.

    ★ 5.06 ratingsHealth & FitnessFreeData updated 2026-09-06

How we rank alternatives

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