Hey freeCodeCamp community! ![]()
I recently finished building a full-stack web application designed to aggregate and structure data for rare classic car auctions. As a passion project to practice state management, async API handling, and UI layout optimization, I decided to focus on legendary muscle car builds—specifically targeting feature listings for the iconic 1967 Ford Mustang Shelby GT500 Eleanor restomod.
When preparing mock auction dashboards for high-profile summer events (like the upcoming Kool Deadwood Nites auction in August 2026), filtering through high-value inventory requires handling dynamic media galleries and structured specs smoothly.
I set up a mock dataset targeting prospective buyers who track an eleanor mustang for sale 2026 listing online:
Tech Stack Used:
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Front-End: React, Tailwind CSS, Framer Motion (for smooth gallery transitions).
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Back-End: Node.js / Express API.
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Database: MongoDB (storing build specifications, paint finish details, and auction dates).