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Big Apple Collects vs Video Database

Side-by-side comparison to help you choose the right tool.

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Big Apple Collects

Big Apple Collects is your ultimate free guide to sports card pricing and checklists, simplifying the search for MLB, NFL, and NBA collectibles.

Last updated: April 4, 2026

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Video Database

Monitors and organizes high-value creator videos.

Visual Comparison

Big Apple Collects

Big Apple Collects screenshot

Video Database

Video Database screenshot

Overview

About Big Apple Collects

Big Apple Collects is a comprehensive, free toolkit designed specifically for sports card collectors and eBay sellers. It serves as an essential resource for those interested in baseball, football, and basketball cards, providing users with the ability to look up the current market value of any card using live eBay data. With access to an extensive database featuring over 600 checklists from renowned brands like Topps, Panini, Bowman, and Upper Deck, collectors can easily navigate their collections. The platform also harnesses the power of artificial intelligence to generate optimized 80-character eBay listing titles, ensuring that users can create appealing and effective listings. Additionally, users can create professional front/back combo images and binder showcase grids, making their listings visually attractive. Big Apple Collects truly embodies convenience and accessibility, offering a complete suite of tools without any subscriptions or paywalls, making it the go-to platform for pricing collections or listing cards for sale.

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.

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