Living Library vs Mood Reader

Living Library is the reading companion that grows with you. Track what you're reading, discover what's next, and hit your goals, one page at a time. See everything at a glance by organizing books into Currently Reading, Want to Read, and Finished shelves, then tap into any active book to log your progress, update your page number, and capture your thoughts. Explore curated recommendations tailored to your favorite genres, and when you find something a friend would love, share picks directly with them to keep the conversation going. Adding to your library is simple; search for any title and add it to your shelves in just a few taps. Set your annual reading goal and watch your progress build as you log time spent on each session and track how long individual books take you, keeping a clear picture of your reading habits over time. Push notifications keep you connected to your reading life, and you control exactly what you hear about from your profile. Whether you're a voracious reader powering through your TBR pile or someone trying to read just a little more each day, Living Library meets you where you are. Built and designed by Aneruddha Das and Ayush Bhattacharya.

Mood Reader is a book recommendation app that starts from a different question. Not what other people rated a book. Not what an algorithm decided is popular right now. It asks what a reader is in the mood for — in plain language — and returns books that match the shape of that answer. — Three things it does 01. Semantic prompts Describe what to read in plain language. "Something quiet and observant." "A romance that isn't formulaic." "Whatever will pull me out of a slump." Mood Reader returns books that match the description, ranked by fit to taste rather than by crowd rating. 02. Self Portrait A written reading of the reader — generated from the shape of a library and the reflections left along the way. Not a personality quiz. Not a genre list. Not a score. A close reading of what books, together, reveal about a reader. 03. Ambient recommendations As a library grows and one-sentence reflections accumulate, Mood Reader learns and surfaces books that fit what comes next. Every recommendation arrives with a short rationale for why it fits. — An independent app, built to be worth using No investors. No acquisition target. No ad SDKs, no analytics tools, no advertising identifiers. Mood Reader stores what a reader tells it, and nothing else. Reading history stays with the person who created it. Built by one person in Washington State. — Import from what already exists Full library imports work from Goodreads exports and Kindle libraries. Shelf photos work as a fast on-ramp. Ten favorite books is enough to start recommending. Deeper imports sharpen the results but aren't required. — Reflections instead of star ratings Star ratings summarize a book but don't say much about a reader. A one-sentence reflection ("surprised me by how much I cared about the sister") gives Mood Reader far more signal than five stars alone. Reflections stay in the reader's Master Library and shape both Self Portrait and future recommendations. — Free at launch. iOS 18 or later. iPhone only. Support: hello@moodreaderapp.com