Link to App: missingpages.ai
I am launching an experiment, the first version of Missing Pages, an AI-powered learning navigator for people who read seriously and want a better way to understand what their reading is becoming.
The initial version is simple. If you track books on Goodreads or similar apps, Missing Pages can import your reading history and turn it into a living knowledge map. Each book becomes a point in an atlas. Related books cluster together. Dense regions show where your attention has accumulated. Sparse regions hint at what may be missing.
From there, the Compass Agent helps you interrogate the map. You can select a cluster of books and ask: what does this collection understand well, and what does it leave out? Missing Pages then identifies knowledge gaps and can generate a short research essay to begin filling one of them.
The immediate use case is practical: help avid readers see their intellectual landscape and decide what to explore next. But the larger question is more ambitious.
AI is making research, summarization, and synthesis much cheaper. That does not make human judgment less important. It may make it more important. The harder problem becomes deciding what is worth learning, what question should be asked, and how scattered fragments of reading become a coherent picture of the world.
Missing Pages is my first public experiment in that direction. It starts with books because book trackers give the product a clean wedge: Goodreads users already have structured data and a real habit of cataloging what they read.
But the larger idea is (personal) knowledge as a structured, navigable, eventually collaborative asset: maps, essays, learning sprint people can share, fork, and build on.
If you are not the initial target user, that’s OK, I am mostly looking for reaction to the idea and demo (link), especially if you can imagine this being useful in other contexts.
Link for Feedback: https://tally.so/r/Pd28kd
