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Sneaker Lab

Drop tooling, built the way sneaker servers run: semantic search now, live monitor and proxy health next.

Semantic sneaker search

Search by vibe, not keywords. Describe a use-case or look and it finds the pair, the same semantic search I'd wire into a sneaker store or monitor.

A fixed demo catalog of 12 sneakers, not a live store. In a real build this is your inventory or monitor feed.

Try:

Endpoint latency

Live latency to public endpoints, measured server-side every few seconds (real numbers). The same control plane is how you'd route a real proxy pool: send each request through the fastest healthy node.

5
Endpoints
0/5
Reachable
Avg latency
Routing tomeasuring…
  • Cloudflare CDN
  • Google
  • GitHub
  • jsDelivr CDN
  • Vercel

Live release monitor

Live· 3 events

Real upcoming releases streamed over SSE from a public sneaker feed. The site, status, and latency simulate a monitor's checks.

  • 12:00:05RESTOCKNike SNKRS · Nike Dunk Low PandaUS 9.5142ms
  • 12:00:03LOW STOCKEND. · Salomon XT-6 Gore-TexUS 10210ms
  • 12:00:01SOLD OUTShopify · Yeezy Boost 350 V2US 1198ms