CLUSTER MOBILE-SHOPPING-BROWSING · 23 ENTRIES · EARLIEST ENTRY 2009-12-11
Mobile retail shopping apps
This cluster comprises mobile shopping apps for retail merchandise spanning fashion, beauty, home, outdoor, and luxury categories, with common features like loyalty rewards, in-store pickup, and personalized recommendations. Entries appeared sporadically from 2008 to 2019, with no clear trend in the pre-index timeline. SSENSE, Hollister Co., and Ounass Luxury Shopping lead on traction based on activity signals.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 hand-coded · 2 unlabelled
Operator · 2 commercial · 1 enterprise
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21Jane - Boutique Shopping Deals0★26 daysliveenterpriseMarketplace app aggregating deals from small boutiques and brand retailers, offering a personalized daily feed of clothing and home goods.
- 22Modanisa: Online Fashion Shop0★6 mostalelivecommercialMobile app for browsing and purchasing modest fashion clothing, hijabs, and accessories from thousands of brands with multilingual support.
- 23AfterShip Shopping0★4 yrabandonedlivehand-codedcommercialMobile shopping app that lets users browse and buy products from their favorite brands through an optimized storefront.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.