Share your Kindle library and let friends vote on what I should read next

Many readers face decision paralysis and discovery friction when choosing what to read next; this is especially true for social readers who lean on friends, book clubs, and creators — a potential user base of roughly 160M active ebook and Audible readers. The discovery/engagement market is large and monetizable: estimated at $9.6B (160M × $60 ARPU/year), with a market score of 90/100 and a revenue-potential signal around 72/100, though competition is medium and network effects will be decisive. You could build a lightweight product that lets users publish a read-only view of their Kindle library and highlights (using mature export/sync tooling), invite friends or followers to nominate and vote on “what I should read next,” and surface vote-driven queues for private groups or public creator pages. Layer in AI-generated micro-summaries and condensed highlights to make voting and shortlisting fast, route purchases through affiliate links and offer premium features (analytics, advanced curation) for monetization, and make privacy and one-click sync central to the UX. This moment is attractive because social discovery is rising, highlight-export and on-device summarization tech has matured, and readers increasingly trust peer signals, but the product will face real challenges around Amazon’s platform rules, user privacy expectations, and reaching the critical mass needed for reliable voting behavior. To differentiate from medium-level competition, focus on a privacy-first, read-only sync model, demonstrably useful AI micro-summaries that reduce decision time, and targeted creator/community partnerships to seed network effects while keeping customer acquisition costs measured.