Reseller Tools
Supreme checkout bots, Shopify restock monitors, and StockX analytics. The tooling stack that drove sneaker resale volume.
The Problem
Supreme drops new products every Thursday at 11AM EST. Popular items sell out in under 3 seconds. I was 16, in high school, and drops happened during class. Manual purchasing was impossible.
Technical Approach
Built two systems: checkout automation and market intelligence.
Checkout Automation:
- Selenium browser automation for Supreme checkout flow
- Requests-based approach for speed (browser overhead was too slow)
- Hybrid method using ATC (add-to-cart) links to skip product pages entirely
- Form autofill for shipping/payment to minimize checkout time
Market Intelligence:
- Shopify endpoint polling for restock detection
- StockX price scraping for resale value research (Premebase - unfinished)
- Discord webhooks for instant alerts
Interesting Challenges
reCAPTCHA was the wall. Only triggered on checkout submission (button click or POST endpoint), but enough to kill most automation attempts.
The bypass I missed: Supreme's checkout accepted an empty string for g_captcha_response in the POST body, completely bypassing verification. People printed. I found out after it was patched.
Python + Selenium issues: GIL meant my multi-window approach never worked reliably. Combined with being stuck in class during drops, I never successfully botted a hyped release.
What did work: Successfully purchased socks outside of peak drop times. Small wins.
What I Learned
The bots didn't work, but the failures taught me reverse engineering, session management, anti-bot evasion, and proxy rotation. These skills transferred directly to later projects.
Key Features
- -Selenium browser automation for Supreme drops
- -Shopify restock detection with Discord alerts
- -StockX historical price tracking by model/size
- -Multi-retailer support (Nike, Foot Locker, etc.)
- -Web scraping pipeline with anti-bot evasion
Tech
