SaaSbooksrecommendationsreading

Personalized reading recommendation engine

A tool that suggests books based on user preferences and reading history. Targets avid readers overwhelmed by choice.

Why now

With the constant influx of new titles, readers struggle to find books that match their tastes.

Who for
Avid readers
Business model
Affiliate links or subscriptions
Effort
A few weeks

Avid readers often spend more time choosing books than reading them. A recommendation engine could analyze past reads, genres, and ratings to suggest tailored options.

Build a simple web app that lets users input their favorite books or genres. Use existing book APIs to fetch recommendations based on this data.

Monetize through affiliate links to book retailers or a premium subscription for deeper analysis.

Start with a basic form that takes a few favorite books and returns a list of recommendations. Expand later with more sophisticated algorithms.

The biggest risk is competing with established platforms like Goodreads.

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Personalized reading recommendation engine — Ideas