CLUSTER OUTFIT-PHOTOS-UPLOAD · 22 ENTRIES · EARLIEST ENTRY 2025-05-02
Virtual wardrobe and try-on apps
A cluster of 24 products centered on virtual try-on, digital wardrobe management, and AI-driven outfit recommendations, often using uploaded photos of users and garments to render photorealistic previews or generate styling suggestions. Dated entries before the index start span from March 2021 to July 2026, but with only a single entry per month across 10 months, the cluster's dated history is too thin to read a shape from — it predates the index or its members are undated. Cloa leads on traction with 5 activity stars, while other named products (3DMockups – Clothes Designer, FLYP – Fashion Design Studio) show 0 stars.
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 unlabelled
Operator · 2 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 2 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 21TryOn AI - Virtual Outfit Try-On Studio0★unknownliveVirtual outfit try-on app that lets users upload a photo of themselves and a clothing image to see a photorealistic preview of the outfit on them.
- 22Try This On - Virtual Fitting Room0★unknownliveai-builtWeb app that lets shoppers upload a photo of themselves and clothing images to preview how clothes would look on them.
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.