Restocktime

High-demand products sell out in seconds. Users needed a system faster than humanly possible to detect and notify them of restocks across hundreds of sites simultaneously.

Engineered a high-concurrency scraping engine capable of monitoring thousands of SKUs in real-time, delivering alerts to Discord via webhooks with sub-second latency.

1. 01 Utilized distributed proxy networks for reliable scraping
2. 02 Optimized database queries for millisecond response times
3. 03 Implemented redundant monitoring nodes for high availability
4. 04 Created custom Discord bot for community engagement

Restocktime runs on a distributed cluster of Python-based scraper nodes managed by Kubernetes. We use Redis for high-speed caching and message brokering to ensure that a product detection event triggers a Discord webhook notification in under 200ms. The system employs sophisticated TLS fingerprinting randomization to bypass Cloudflare and Akamai bot protections, ensuring uninterrupted monitoring of target retailers.

While primarily a community-driven SaaS, we optimized the public-facing landing page for "sneaker monitor" and "restock alerts" keywords. We created a blog section detailing "How to Cop" guides, which drives top-of-funnel traffic. High-quality backlinks from sneaker news sites and YouTube influencers have solidified the domain authority.