Apps Like Us Time for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.
My Love - Dating Tracker
Appcano LLC
Track days, months, and years together
Track relationship milestones by counting days, months, and years together. Add names, photos, and start dates to personalized profiles. Customize widgets to display counters on home screens.
Chores Tracker: Homanager
Zafar Ivaev
Track , manage allowance, automate rewards
Track family and manage allowances by linking tasks to rewards. Create and schedule repeating , monitor progress in real time, and sync across devices. Set up a shared chore chart and automate allowance distribution based on completed tasks.
inlove - Couple Day Counter
Dat Hoang
Count days and track anniversaries
Track days to count time spent in a relationship. Set anniversary reminders and receive day announcements. Store daily memories in a diary and save stories. Customize the with images and names. Lock the with a password for security.
recoupling: relationship, love
recoupling UG haftungsbeschraenkt
Enhance connection through daily exercises
Help couples strengthen their relationship with daily exercises, challenges, and personalized tips. Track progress, set goals, and access scientifically backed content to improve communication and connection.
TipTip: Couples & Relationship
Nexcore Studios Oyun Ve Yazilim Ticaret Pazarlama Limited Sirketi
Relationship Calculator: Been Together Love Days Counter
Emo Media GmbH
Track time and add milestones
Track duration with a countdown timer showing years, months, weeks, , minutes, and seconds. Add milestones with custom questions. Select from romantic backgrounds and dynamic wallpapers. Save the timer as an image for sharing.
Ember: AI Relationship Coach
Ember Couples Ltd
Track emotions, set goals, and connect
Track daily check-ins, set goals, and receive personalized prompts to foster connection. Em offers AI-driven advice, progress tracking, and reminders for meaningful conversations.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.