Sneakerr is the app that helps you discover current pairs, plan future pickups, and visually search footwear with fast image intelligence.

EASY TO FIND
Locate a pair from a growing catalog of more than 12000 models across major brands using a quick photo, existing camera roll images, or simple screenshot input. Instead of jumping between multiple sites (Nike, StockX, GOAT, eBay and others) or wrestling with rigid filters, you get a streamlined visual match flow that surfaces the closest model options in seconds using lightweight on‑device preprocessing plus secure cloud classification.

GET INSPIRED
Browse evolving release listings and style variations (expanded browse features rolling out). Screenshot discovery lets you capture a look from Instagram, TikTok, or anywhere on the web and request a match (older photos still work). This lowers the friction between seeing a style in a feed and adding it to your wish planning.

SEARCH WITH A PHOTO
Snap a pair in a store, on a friend, in print media, or on your screen. The system analyzes angles, dominant color zones, silhouette shape and brand markers, then returns candidate matches and shop links. Multi-angle support improves robustness when lighting or partial occlusion occurs.

LIGHTNING FAST MATCHING
Average match times target near real‑time responsiveness. A small local encoder trims image size while preserving distinctive features before secure transmission. Result sets return with core info you can act on quickly (model name, colorway indicators, price range source list) without noise.

COLLECT & ORGANIZE
Record what you already own, view rotation history by month, and flag prospective pairs in a simple planning queue. Wishlist and collection modules are expanding toward richer tagging (condition, acquisition date, wear frequency) and smarter reminders.

PRICE & SOURCE INSIGHTS
Compare store links and marketplace references to monitor ranges and spot early dips. Planned enhancements include historical trend snapshots and aggregated fee awareness to help optimize timing decisions.

UPCOMING IMPROVEMENTS
Roadmap items include broader catalog browsing depth, more refined comparison views, enhanced screenshot parsing, release alert notifications, personalization signals, richer rotation analytics, and optional social sharing of curated lists.

HOW IT WORKS
1. Capture or choose an image.
2. Local preprocessing extracts a compact representation.
3. Secure match service ranks candidate models.
4. You review results, add to collection or plan, and optionally open store links.

PRIVACY & SECURITY
Images are used strictly for match generation and not retained beyond minimal transient processing unless you explicitly save them. Core identification steps favor efficiency while avoiding unnecessary personal metadata. You stay in control of what gets logged in your collection. No external advertising trackers are embedded in the match pipeline.

SUPPORT & FEEDBACK
User feedback informs iteration. In‑app guidance pages will outline tips for best capture conditions (lighting, framing, background simplification) to optimize accuracy.

GET STARTED
Install, open the camera or choose a screenshot, request a match, then log or plan the pair. The workflow is intentionally minimal so you can move from discovery to decision rapidly.

TERMS & PRIVACY
Terms of use: https://philemoncombes.com/sneakersdetector/terms.html
Privacy policy: https://philemoncombes.com/sneakersdetector/privacy.html