Big Apple Collects vs Video Database
Side-by-side comparison to help you choose the right product.
Big Apple Collects
Big Apple Collects is your free, comprehensive price guide and checklist platform to expertly value, catalog, and sell your sports cards.
Last updated: April 4, 2026
Video Database
Monitors and organizes high-value creator videos.
Visual Comparison
Big Apple Collects

Video Database

Overview
About Big Apple Collects
Big Apple Collects is a game-changing, all-in-one platform engineered for the modern sports card collector and eBay seller. It's built on a simple, powerful premise: democratizing access to professional-grade tools and real-time market data, completely free of charge. The platform serves as a dynamic hub where enthusiasts can accurately price their collections, research extensive checklists, and create high-converting eBay listings with unprecedented efficiency. By aggregating live eBay sales data, it provides transparent, up-to-the-minute market values for baseball, football, and basketball cards, removing the guesswork from buying and selling. Furthermore, its suite of AI-powered listing tools—from title optimization to professional image creation—empowers users to scale their operations and maximize profits. Designed for everyone from the casual hobbyist to the high-volume seller, Big Apple Collects eliminates traditional barriers like subscriptions and paywalls, fostering a more informed and successful collecting community. It's not just a tool; it's a strategic partner for growth in the booming sports card economy.
About Video Database
The Video Database began as an internal solution to a common frustration: as creators and content strategists we need to "study the best," but this typically means endless scrolling through social platforms riding the algo waves - good or bad. Nobody needs more of that.
Cut30, our short-form video bootcamp, maintains hundreds of hand-curated reference videos throughout its curriculum—valuable examples embedded within tutorials, exercises, and lessons. However, these references were scattered across the platform without centralized organization or analysis. What started as simply organizing and categorizing those videos, was a slippery slope.