Apps Like Reduce - Addiction Timer for iPhone and iPad
Reduce - Addiction Timer screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.



Day by Day Meditations
Stanton Publication Services Inc
Read daily thoughts and track progress
Read daily messages with a reading, question, and prayer. Track progress with weekly reflections and goals. Share insights and connect with others in a community forum. Set reminders for daily practice and access content offline.




Up In Smoke Calculator
William Lemley
Calculate savings and track quitting progress
Calculate and display financial savings from quitting smoking. Show daily, monthly, and yearly savings. Compare savings across different cigarette brands. Provide visual charts and graphs. Export data for patient records.

Quit Meth Addiction Calendar
App Diggity, LLC
Track progress, set goals, stay accountable
Track progress with a second-by-second counter. Set personal reasons to or use provided scientific reasons. Create a daily to stay accountable and monitor recovery milestones.




Interval Timer: HIIT Workout
Yosyp Hameliak
Track work and rest intervals
Track work and rest intervals for workouts. Set custom durations for sets and rounds. Start and pause sessions manually or with voice commands. Monitor heart rate via Apple Watch. Sync progress with iCloud and integrate with Health .

Deep Sleep, Insomnia Help
Hypnosis and Subliminal LLC
Hypnosis for better sleep tonight.
The app helps users achieve deep, restful sleep and wake up feeling rejuvenated. It offers soothing hypnotherapy tracks designed by Rachael Meddows to aid in falling asleep faster and sleeping through the night.







Freediving Apnea Trainer
Maksim Pipkin
Hold breath, track time, improve stamina
Calculate maximum breath-holding time and generate training tables based on performance. Track sessions, set goals, and follow structured exercises. Includes guided training plans and progress monitoring for freedivers and yoga practitioners.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.