Apps Like Between, Couples Love Tracker for iPhone and iPad
Chat with your partner and save memories
Facilitates private messaging between two users with customizable emoticons and GIFs. Allows sharing of photos, videos, and notes for memory storage. Enables scheduling of messages and reminders.
Between, Couples Love Tracker screenshots
Ranked alternatives
Showing 781–800 of 1,000 ranked alternatives.

Breeze Magazine Central Coast
PressPad Sp. z o.o.
Central Coast lifestyle magazine with stunning imagery.
The app covers food, interiors, gardening, destinations, music, art, and travel. It unearths inspirational businesses, people, and places with interesting articles and imagery.

Gstaad Life
Muller Marketing & Druck AG
News and events for Gstaad.
The app provides news, events, culture, and lifestyle information for Gstaad and the Saanenland. It keeps users informed about current happenings in the region.





In Bliss - Bride magazine app
PressPad Sp. z o.o.
Explore wedding inspiration and ideas.
The app presents over 125 pages of color palettes, photo shoots, and educational guides. It covers fashion, beauty, planning tips, decor, and honeymoon destinations.

Enduro Magazine
PressPad Sp. z o.o.
Explore trails, ride, and share stories
Stay updated with the latest mountain biking news, reviews, and event coverage. Access exclusive rider interviews and gear testing. Download printable maps and trail guides. Participate in reader polls and forums.

MyQuinceLife.com
PressPad Sp. z o.o.
Teen lifestyle magazine for young latinas.
The app presents articles and topics of general interest to young latinas. Teen writers cover quinceanera dresses, fashion, beauty, do it yourself, and "elephant in the room" topics.






Khush Wedding
Magzter Inc.
Luxury bridal magazine for British Asian couples.
The app is a luxury bridal magazine for British Asian couples in the UK. It provides innovative ideas and inspiration for planning weddings, celebrating love, marriage, and happiness.


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