CLUSTER SKIN-PHOTOS-CONDITIONS · 7 ENTRIES · EARLIEST ENTRY 2026-06-26

AI skin analysis apps

This cluster consists of AI-powered applications that analyze user-uploaded skin photos and symptoms to produce informational health reports, assess UV risk, and track skin health over time. Only two dated entries were recorded before the index start, so the cluster's dated history is too thin to read a shape from — it predates the index or the members are undated. Among traction leaders, the top activity signals are shared by skin-scan-ai, dermal-wave, and MediVision-AI, each with zero stars.

Entry timeline

ENTRY TIMELINE

NOV 2025: 1JUN 2026: 1AUG 2026: 2SEP 2026: 1OCT 2026: 2
NOV 2025OCT 2026

Members by activity

Activity signals, not revenue.

Build origin · 2 ai-built · 1 hand-coded · 4 unlabelled

Operator · 5 hobby · 2 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 7 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01derma-agent0★4 dayslivehobbyAI web app that screens skin lesion images, ranks them by risk, and triages them for clinical review by dermatologists.
  2. 02SkinCare-AI0★8 days—hobbyAI app that analyzes dermoscopic skin images to detect malignant or benign lesions and generates structured medical reports.
  3. 03skin-scan-ai0★1 mo—hobbyAI app that scans skin photos to identify potential dermatological conditions for users.
  4. 04dermal-wave0★1 mo—AI-powered skin analysis app that lets users upload photos for dermatological assessment, chat with virtual specialists, and track skin health.
  5. 05skinaid-skin-disease0★2 molivehand-codedhobbyWeb app that analyzes skin photos with AI, providing preliminary condition, confidence, severity, and urgency guidance.
  6. 06SkinLens0★3 mo—ai-builthobbyMobile app that analyzes photos of skin using multiple AI models to identify conditions and track scan history.
  7. 07sun-scan-main0★10 mostale—ai-builtApp that scans or analyzes sun exposure to help users track UV risk and skin health.