The StoryGraph

The StoryGraph is a book tracking and recommendation platform designed to help readers discover books that align with their current mood, interests, and reading preferences. Users can log their reading history—including books finished, currently reading, or planned—and access a wide variety of charts and graphs that visualize reading habits over time. For example, the platform breaks down reading by genre, fiction vs. non-fiction, page count, pace, mood, and even representation of authors’ gender, race, and sexuality. These insights allow readers to identify patterns in their choices, such as a tendency to read darker thrillers in winter or lighter romances during stressful periods, and then adjust their selections accordingly. The core recommendation engine uses machine learning to analyze a user’s past ratings, shelves, and reviews, then suggests books that match their taste. Unlike traditional algorithms that rely on popularity or broad genre tags, The StoryGraph’s system pays attention to subtle signals: if a user frequently gives high marks to slow-paced, character-driven mysteries with a melancholic tone, the AI will prioritize similar titles. Readers can also refine suggestions by filtering for specific moods (e.g., adventurous, funny, tense, hopeful), pace (slow, medium, fast), length (short, medium, long), and themes (like friendship, survival, identity). This makes it particularly useful for readers who find themselves in specific reading slumps or who want to branch out without risking a disappointing choice. Another key feature is the community aspect. Users can create custom shelves, share reviews, and follow other readers with similar tastes. The platform also offers a "buddy read" function where groups of people can read the same book simultaneously, set