About this app
Wear the watch. Log the moment. Obert turns your watch collection into a living journal. Point your camera at your wrist and Obert recognizes the piece you're wearing and logs it to today — automatically. No menus, no typing. Just snap and go. Whether you own two watches or two hundred, Obert helps you actually enjoy them: see what you reach for, rediscover the ones gathering dust, and build a streak of daily wears. RECOGNIZE & LOG IN SECONDS • Take a wrist shot and Obert identifies the watch and logs the wear • On-device recognition matches against your own collection — fast and private • Can't get a clean shot? Pick from your collection or log any past date by hand YOUR COLLECTION, ORGANIZED • Add watches with brand, model, reference, movement, case size, strap and notes • Auto-fill specifications so you don't have to hunt them down • Sort and filter by brand, purchase date, or how recently you've worn each piece • Grid or list views with a clean, photo-first layout KNOW YOUR HABITS • Daily wear streaks for every watch • Stats by week, month, year, or all-time • Most-worn rankings and breakdowns by type, movement and strap • A gentle nudge for the watches you haven't worn in a while A WISHLIST THAT REMEMBERS • Track watches you've tried on but don't own yet • Save photos, videos, and a target price • Move a piece to your collection in one tap when you finally buy it SHARE YOUR STYLE (OPTIONAL) • Post wears to a community feed and browse what other collectors are wearing • Follow other enthusiasts and discover new references • Your photos stay private unless you choose to share them BUILT FOR EVERY DAY • Daily reminders so you never forget to log • Face ID / Touch ID lock to keep your collection private • Beautiful light and dark themes • Works offline — your collection and history are always available Obert is the simplest way to remember, enjoy, and show off the watches you love. Terms of Use: https://obert.app/terms Privacy Policy: https://obert.app/privacy Standard Apple EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Audience growth
Ratings growth
Baseline captured. Growth appears after the crawler observes a changed rating count.
Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.
Price tracking
Price intelligence
First snapshot captured. The trend line starts after the next crawler price observation.
- First observed Aug 20, 2026 · 2:24 PM Free
Screenshots
