Earlier quoted context omitted.
Great idea! The matching algorithm currently provides too many false positives. (Ex. use the image from https://opensea.io/assets/0xbc4ca0eda7647a8ab7c2061c2e118a18... , there are 5 potential results, but none had real hits.)
Hi Dropnerd, I tweaked the algorithm to not match similar item but only images with almost exact content. Give it a try.
On the product:
I imagine no one actually wants to use the web interface to manually scan on a day to day basis.
My advice is a few cached queries that are really fast that show how this works, custom image upload for people to try out to test if it actually works, and then selling an automated scanning service with alerting for the projects that are looking for copycats.