Apps Like Lightsquad Classic for iPhone and iPad
Lightsquad Classic screenshots
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



HealthMeter
Oluwabukunmi Agbaje
Track progress, set goals, connect with community
Track fitness goals with personalized targets and progress monitoring. Log workouts and analyze performance metrics. Monitor nutrition intake and receive dietary insights. Connect with a community for support and motivation.



Move2BFit
Alnaseer Budwani
Track walks, set goals, connect with friends
Track daily steps, distance, and active minutes. Connect with Apple Health, Google Fit, and fitness devices. Set and achieve personal walking goals. Join community challenges. Create custom challenges. Sync with friends.

Quitty: Quit Zyn & Snus
Victor Gustafsson
Track progress and log cravings
Track progress with daily streaks and milestone reminders. Set goals for quitting days and receive motivational prompts. Log cravings and track triggers. Access educational content about nicotine addiction and cessation strategies.



Gainify
Jackson Peterson
Track workouts, monitor progress, celebrate achievements
Track workouts by logging exercises, sets, and reps. Monitor progress with past workout history, streaks, and weight changes. Set fitness goals and view detailed performance analytics. Sync data across devices and receive progress notifications.



Athlos Fitness
Brandon Timok
Customize workouts with AI insights
Create personalized workouts using AI based on level, goals, and equipment. Track progress with detailed analytics. Join challenges and compete with friends to stay motivated. Share achievements and receive feedback from the community.






iQuit - Addiction Tracker
HYJOY INC.
Track progress and log cravings
Track progress by logging addictive behaviors daily. Set reminders and receive notifications. Monitor patterns over time with detailed reports. Customize goals and track achievements. Sync data across devices for consistent progress.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.