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P-book – an interactive book for kids about recommendation algorithms

P-book – an interactive book for kids about recommendation algorithms

by kordikp·Mar 22, 2026·2 points·2 comments

AI Analysis

●●SolidNiche GemBig Brain

Teaches kids recommendation algorithms with adaptive navigation modes like Missions and Map.

Strengths
  • Adaptive learning styles like Explorer and Creator, credible author from Recombee.
  • Open-source format allows customization of features like gamification and recall.
Weaknesses
  • Niche audience limits adoption, early stage needs more content and polish.
  • Complex topic for kids might require adult guidance to fully understand.
Category
Target Audience

Parents, educators, kids interested in tech

Similar To

Khan Academy · Brilliant

Post Description

Hi HN — I’ve been building p-book, an open-source interactive book format that personalizes how a reader explores one topic.

The first p-book is for kids and teaches how recommendation systems work — including suggestions, privacy, filter bubbles, and fairness.

What I’m trying here is not only to personalize what comes next, but also how the same topic can be explored: through Missions, Browse, Read, or Map.

It’s still early, and I’d especially love feedback on three things:

- whether the navigation modes feel genuinely different, - whether the topic is understandable for kids, - where the experience feels confusing or too complex.

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