The StoryGraph for Web

Overview: Find Your Next Favorite Book with StoryGraph

StoryGraph is a smart, web-based tool built to help readers discover books that match their tastes and current mood. It combines reading tracking with visual analytics, so you can see what you’ve read, how quickly you read, and how your ratings and moods change over time. Its recommendation engine uses machine learning to surface titles tailored to your individual preferences.

Core capabilities

• Social engagement tools for sharing reactions to passages (without spoiling plot points) and linking up with fellow readers.
• Detailed tracking and visual summaries that chart reading pace, completed titles, moods, and ratings.
• A personalized suggestion system powered by ML that adapts to your tastes and mood.
• Organizational features such as custom tags, reading goals and challenges, and a private journal for notes and reflections.
• A full-featured alternative to large retail ecosystems for readers who prefer an independent experience.

How the recommendation system works

StoryGraph analyzes the books you log, the moods and tags you assign, and your rating patterns to build a profile of your preferences. From that profile it recommends books likely to match both your long-term tastes and your current reading mood, refining suggestions as you provide more data.

Social and organization tools

Beyond recommendations, StoryGraph offers ways to make reading more social and orderly:

• React to excerpts safely — add responses that won’t reveal spoilers.
• Form connections with reading buddies and follow others’ reading progress.
• Use tags and curated lists to sort your library, set and track reading challenges, and keep a private reading journal.

Suggested paid alternative

• ParakeetAI (paid) — a recommended option if you’re looking for a commercial service with similar discovery-focused features.