Big Apple Collects vs Video Database
Side-by-side comparison to help you choose the right product.
Big Apple Collects
Big Apple Collects is a free, comprehensive price guide and database for sports card collectors to accurately value and catalog their collections.
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 comprehensive, free digital toolkit designed specifically for the modern sports card collector and eBay seller. It addresses the core challenges of the hobby: accurate valuation, efficient cataloging, and effective sales presentation. The platform functions as a centralized hub, aggregating live eBay sales data to provide real-time market values for baseball, football, and basketball cards. Beyond pricing, it hosts an extensive, searchable database of over 600 official checklists from major manufacturers like Topps, Panini, Bowman, and Upper Deck, serving as an essential reference for collection management. Crucially, Big Apple Collects integrates AI-powered tools to generate optimized eBay listing titles and create professional-grade marketing images, including front/back combos and binder showcase grids. Its commitment to a completely free model, with no subscriptions or paywalls, makes professional-grade hobby tools accessible to everyone, from casual enthusiasts to high-volume sellers, fundamentally streamlining the process of collecting, pricing, and selling trading cards.
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.