CLUSTER ONLINE-STORE-BROWSE · 5 ENTRIES · EARLIEST ENTRY 2025-07-14
Online store and shopping apps
This cluster consists of online store applications that let shoppers browse product catalogs and complete purchases, including one kiosk app for in-store navigation and recommendations. The dated history before the index start includes only three entries, too few to discern any trend shape. The traction leaders, all with zero stars, are IsaStore-Ecommerce, aisle-genius-kiosk, and E-commerce-app.
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 ai-built · 1 hand-coded · 3 unlabelled
Operator · 3 hobby · 2 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01IsaStore-Ecommerce0★11 days—Online store application that lets customers browse product listings and complete purchases.
- 02shopup0★2 molivehand-codedhobbyWeb application that lets shoppers browse a product catalog, manage accounts, and complete purchases through online checkout.
- 03E-commerce-app0★1 yrabandonedlivehobbyWeb application that lets shoppers browse product listings and complete purchases through an online store.
- 04aisle-genius-kiosk0★11 mostale—ai-builtKiosk application that helps in-store shoppers locate products and receive recommendations while navigating supermarket or retail aisles.
- 05SamirProject0★1 yrabandonedlivehobbyWeb application that lets shoppers browse product listings and complete purchases through an online store.
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.