Finding similarities in New Yorker covers
Originally learned about image hashing and similarity comparison for product image searches. Decided to apply it to magazine covers. Thrasher covers: https://shoplurker.com/labs/thrasher-covers/
In plain words
This tool uses image hashing technology to find visual similarities across New Yorker magazine covers. Users can explore patterns and recurring design elements by comparing cover artwork. The maker adapted techniques originally developed for product image searching to analyze magazine covers, revealing compositional and stylistic relationships within the publication's archive. It's designed for anyone interested in visual design, magazine history, or exploring patterns in editorial imagery.
written from the facts on this page · September 2026
Does the same job
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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