AI finds surprising book picks from your past ratings and reads

AI finds surprising book picks from your past ratings and reads targets a $1.8B = 30M avid readers × $60/year average willingness-to-pay for premium discovery and affiliate yield total addressable market with medium saturation and a year-over-year growth rate of 10% YoY — digital reading services and discovery tools have grown around 8-12% yearly; estimate based on NPD BookScan and subscription service trends.

Key trends driving demand: Embeddings and vector search — these make semantic matching of book descriptions, reviews, and highlights practical and fast, enabling better taste matching.; User data portability — readers increasingly export/import reading histories, lowering the friction for personalized services that require history.; Publisher interest in discoverability — publishers and indie bookstores need channels that surface long-tail titles and are willing to pay for referral or API access.; Subscription fatigue with big platforms — a segment of readers prefer smaller, high-quality discovery tools rather than platform-dominant feeds.; Demand for explainable recommendations — users want short, human-readable reasons for why a book suits their taste, which boosts trust and retention..