Background Gradient Hash Fingerprint

0x0fe61ff68bd6f1fe9db0191eb0787920fef781c10xfd6d053aef92ec779fdf2fbbf7abba6822845bdd0x8d5455354d3ce72a50cd55390df691a782a979580x8d5455354d3ce72a50cb55390df690a782a979580x1f9090aae28b8a3dceadf281b0f12828e676c3260xaf6b8338689fd2b6a901e62fbf9b26a89c6449130x900e030f1fe5d81d61a76c253d8f2ee29026c5180x1f9090aae28b8a3dceabf281b0f12828e676c3260x900e030f1fe5d31db1a76c253d8f23e29026c5180x900e030f1fe5d31db1a7bc253d8f23e29026c518

Why?

Hashes are difficult to parse visually. You can have two hashes that look nearly identical.

Can you spot the difference between these two?

0x066e3d77e3d9ee2f8ed84e3ba09c97de2dddc9aa
0x066e3d77e3d9ee2f8ed84e3da09c97de2dddc9aa

By hashing the hex, and using that to generate a colorful gradient, it‘s immediately obvious if two hexes are different.

0x066e3d77e3d9ee2f8ed84e3ba09c97de2dddc9aa0x066e3d77e3d9ee2f8ed84e3da09c97de2dddc9aa

You can‘t tell which character is different, but hashing makes it immediately obvious that something is off.

The sharp parts of the gradient make it easier to visually segment the text. This is especially helpful if you‘re doing a comparison of two hashes.

0x0000000000000000000000000000000000000000