What should I read next?
ReadIt helps you pick books that match your current mood and goals. Instead of pushing whatever is loudest, we focus on explainable signals: mood, themes, and pace, plus readable community perspectives that make the choice easier.
Ratings are a rough signal. They don’t tell you why people loved a book, whether the tone matches your headspace, or if it will actually work for you right now. ReadIt is designed to reduce decision fatigue with structured signals and clear context.
Fit signals
This is the difference between “highly rated” and “highly right-for-you.”
Explainable recommendations
No black box that feels random. You can understand and trust the output.
You don’t need to build a perfect profile. ReadIt becomes useful quickly — and improves naturally as you read.
Step 1
Your “taste anchor” can be as small as 5–10 books. This gives the system a stable signal without forcing you to rate everything.
Step 2
Pick a few tags you care about: pace, themes, favorite tropes, or the kind of mood you want right now. You can adjust any time — the point is flexibility, not rigidity.
Step 3
The best “next book” is often the one that creates conversation. ReadIt intentionally connects discovery with community: theme clusters, perspective diversity, and books that support meaningful discussion — especially in book clubs.
Book-club fit
Human-first
Create an account to build your taste profile and start getting explainable recommendations.
Quick answers to common questions about recommendations on ReadIt.
Instead of relying on one score, ReadIt emphasizes “fit”: mood, themes, and pace. You see why a book is recommended and what kinds of readers it actually works for.
Mood describes the emotional tone (e.g., hopeful, tense, bittersweet). Themes describe what the story explores (e.g., identity, power, family). Pace describes how quickly the book moves (e.g., slow-burn, steady, page-turner). These signals help you pick books that match your current headspace.
No. You can start with a few saved books and a couple of preference tags. The system becomes more accurate as you add books to your shelves and write short reactions in your reading diary.
No. ReadIt is designed to surface “best-fit” books, including overlooked and niche titles, based on your taste and what you want right now—not just global popularity.
Reviews are structured and spoiler-aware. Readers can mark spoilers and keep discussions readable without ruining key plot points.
Book clubs are first-class. Recommendations connect naturally to discussion: you can see what clubs are reading and pick books that are great for conversation.