The product, a multi-platform TV tracking app, is fully developed and operational across iOS, Android, and web platforms, all connected to a unified backend and a database of approximately 10,000 shows. A unique recommendation engine has been created to personalize user experiences, incorporating individual taste profiles and global quality metrics into its scoring and recommendation system. The infrastructure is automated with background jobs, self-maintaining data processes, and encrypted backups, requiring minimal weekly maintenance. Operational costs are low, under €400 annually, with no monetization strategies yet employed, presenting an open opportunity for future revenue initiatives such as premium tiers or affiliate marketing. The app organically acquired 225 users without marketing efforts, with 35 active daily users across six supported languages. Despite its modest user base, the absence of a monetization model or optimized App Store presence suggests potential for growth. The product appeals to users who actively watch and track TV shows, offering functionality to mark episodes, receive notifications on new releases, and import data from other platforms. Technically, the system requires proficiency in Python and either Swift or Kotlin for development, though day-to-day operations are straightforward and mostly automated. The buyer inherits a user base, codebase, domain, and app store listings, and must manage GDPR considerations due to EU data. The current owner wishes to sell due to a focus on engineering over marketing and business growth, seeking a new owner to drive commercialization and expansion.