MindMark

Inspiration

I built this because my reading notes often contain the clearest record of how a book affected my judgment, while the notes themselves stay scattered across a long reading session. When I finish a book and want to write about it, I often need to recover the memory and thoughts about the book before I can write anything useful. I wanted a tool that turns those fragments into a record I can return to, revise, and use as the basis for a review.

What it does

The app imports notes and highlights from a WeRead book, then organizes them into main reactions, tensions, and judgments, a comparison with selected public reviews, and a draft review.

How I built it

I built a Python web app with Bottle. It can load real WeRead data when the user provides a WeRead token, and it also includes sample data so the app can be tested without private credentials. Codex helped build the app routes, import flow, result page, copy interaction, and Markdown export. GPT-5.6 is used for live analysis when an OpenAI API key is provided, while the demo can also run from precomputed sample results.

Built With

• codex
• gpt-5.6