The problem is concrete and visible in the community signals: thousands of people on YouTube already flip books for profit (Dollar Tree arbitrage, Amazon FBA book selling) but they do it manually, scanning shelves one barcode at a time. Textbooks specifically carry wide price dispersion across platforms because they are seasonal, edition-sensitive, and traded in fragmented marketplaces. A $12 used copy on Facebook Marketplace can list for $60 on AbeBooks when the ISBN matches a current course edition. The product, Flipify for Textbooks, is an arbitrage scanner that continuously monitors eBay, Facebook Marketplace, and AbeBooks for the same ISBN and surfaces listings where the buy price plus shipping is meaningfully below the realistic resale price elsewhere. The solution replaces hours of manual cross-checking with a ranked feed of profitable spreads. MVP: pick two source platforms (eBay API plus AbeBooks scraping), let a user watch a set of high-demand ISBNs, and alert when a spread clears a profit threshold after estimated fees and shipping. Revenue is a simple B2C subscription, mirroring the named competitor Flipify, which shows roughly $17519/mo MRR (payment-verified via RevenueCat). GTM rides the existing creator ecosystem: the arbitrage YouTube channels listed in the brief already teach book reselling to eager audiences, so sponsored segments and affiliate deals put the tool in front of buyers who are actively looking for exactly this. Growth loops: resellers who find wins share screenshots, creators demo the tool to subscribers, and a public leaderboard of best spreads this week drives word of mouth within reselling communities.