Surprising book discovery using reading-history patterns and AI

Surprising book discovery using reading-history patterns and AI targets a $1.08B = 10M avid readers × $108 ACV total addressable market with medium saturation and a year-over-year growth rate of 12% YoY (estimated growth of digital reading and subscription discovery services; industry signals from Statista and market reports 2023-24).

Key trends driving demand: Improved personalization — better embedding models allow matching books by subtle semantic and stylistic signals, creating opportunity for higher-fit recommendations.; Social discovery shift — short-form video (BookTok) drives rapid interest in long-tail titles, increasing demand for curated discovery services that surface non-mainstream books.; Subscription fatigue plus curation demand — users are trimming subscriptions but will pay for services that save time and reliably surface content they love.; Open APIs and managed infra — easier integrations with reading platforms and cheaper hosting/inference reduce startup costs and accelerate product development..