Pagebound: The Anti-Algorithm Reading App episode artwork

EPISODE · Dec 24, 2025 · 19 MIN

Pagebound: The Anti-Algorithm Reading App

from What to Read Next Podcast l Book Recommendation Show

What if Goodreads and Reddit had a baby—and it was actually fun to use?In this episode, I’m joined by Lucy Zhao and Jennifer Dobak, the co-founders of Pagebound, a beautifully designed, reader-first book tracking app that brings back the joy of talking about books while you’re reading them.We talk about why they built Pagebound as a community—not an algorithm—how anonymous discussion makes reading feel safer and more fun, and why gamified reading challenges (hello, sparkly badges ✨) are helping readers rediscover their love of books. If you’ve ever felt burned out by Goodreads, overwhelmed by BookTok, or just want real conversations with other readers, this episode is for you.🔗 Try PageboundWeb: https://pagebound.coApp: Search Pagebound – Social Book Tracker in your app store⏱️ Episode Timestamps[00:00] Why I broke up with Goodreads[02:00] Meet the Pagebound founders[04:30] What makes Pagebound different[06:00] Talking about books while reading[08:00] Mood reading & finding reading twins[10:00] Lists, human recs, and no algorithms[11:30] Quests, badges & gamification[13:00] Importing Goodreads & StoryGraph[14:30] Supporting Pagebound & Royalty[15:30] Why Pagebound uses Substack[17:00] How to get started with PageboundJoin the ConversationSubscribe to our Substack for exclusive recommendations. (wtrnblog.substack.com)Follow & Subscribe: What to Read Next Blog | YouTube: What to Read NextSubscribe & leave a review!

Episode metadata supplied by the publisher feed · Published Dec 24, 2025

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Pagebound: The Anti-Algorithm Reading App

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