Apps Like inShift.me for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.








Flykitt
Kitt Bio, Inc
Track flight delays and manage travel itineraries
Find healthy meal options at restaurants using AI-driven recommendations. Filter by dietary needs, cuisine, and location. Get real-time updates on menu items and nutritional info. Save favorite spots and track eating habits across trips.

ShutEye®: Sleep Tracker, Sound
ENERJOY PTE. LTD.
Track , play sounds, set alarms
Track patterns with detailed cycle analysis and bedtime reminders. Play guided relaxation sounds and white noise to ease into rest. Set personalized goals and monitor progress over time. Share data with healthcare providers if needed.

BetterSleep: Relax and Sleep
BetterSleep Health, LLC
Track and with sounds
Track duration and quality with a tracker. Record nighttime sounds for analysis. Access relaxing melodies and white noise. View patterns and set bedtime reminders. Sync data with Apple Health.


Jetlag - Travel & Timezone
Kinokode
Plan trips, track time zones, visualize destinations
Track time zones with an interactive map and compare times across multiple cities. Add favorite destinations to schedule calls or meetings. Automatically calculate time differences for trips and adjust your daily schedule accordingly.

Uplift - Travel Without Jetlag
Uplift Ventures LLC
Adjust your sleep cycle and manage jet
Adjusts sleep schedules based on flight details to reduce jet lag. Tracks sleep quality and provides daily recovery insights. Offers meal timing recommendations to align with circadian rhythms. Syncs with wearable devices for real-time health data.

Aviato: Jet Lag & Sleep Coach
Aster Hills LLC
Adjust your schedule with a daily plan
Create a personalized schedule to adjust to new time zones. Track light exposure, caffeine intake, and times. Follow daily steps to align your circadian rhythm with your destination. Adjust bedtime and wake-up times based on your travel plan.



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