PagePulse
Know what a book will do to you before you open it.
11 followers
Know what a book will do to you before you open it.
11 followers
PagePulse is a reading intelligence app for iOS and Android. Scan any bookshelf, see the emotional fingerprint of every book, understand what your library says about you.
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Launch Team
Viktor.comAn AI coworker that actually does the work
Promoted
chapter-by-chapter emotional fingerprint is a cool idea but seems like it could work against itself - part of what makes a gut-punch chapter land is not seeing it coming. do you show the full chapter breakdown upfront, or is there a spoiler-safe mode that just gives an overall shape (e.g. "slow build, brutal back half") without mapping specific chapters to specific emotions?
@galdayan Really good question, and honestly the tension you are naming is the one we argue about internally the most. Right now the chapter-by-chapter view is opt-in, not the default surface. The default read is the overall shape, a single fingerprint plus a one-line verdict like "slow build, brutal back half", exactly the framing you described. The per-chapter breakdown lives one tap deeper, behind a "show emotional arc" toggle, so a gut-punch chapter is not spoiled unless you go looking. Open question we are still working through: whether that toggle should warn you before revealing, or whether crossing the tap is enough consent. Leaning toward a soft warning on first use. Curious what you would want.
Scanned a small stack on my nightstand and the emotional read on each book was weirdly accurate, like it picked up on the vibe of a slow-burn novel I couldn't put down. Actually made me want to dig through the rest of my shelves to see what it says about me.
@hakanaknto2q This is the exact loop we designed for, scan a stack, feel seen, then want to know what the rest of the shelves are hiding. That "slow-burn novel I could not put down" pattern is one of the tags the model is best at picking up. If you do the full-shelf scan, tell us if any book got read completely wrong. That is the signal we are tuning against.