Now do it by answering with words interpreted as colors using the Netscape algorithm. I once read a blog post here about how Netscape interpreted colors that a

Now do it by answering with words interpreted as colors using the Netscape algorithm. I once read a blog post here about how Netscape interpreted colors that are words but aren’t in the official name list, and it comes down to tossing out the non-hex characters and padding/chunking the remaining characters to make RGB numbers, so “dumptruck” might end up being yellow because it ends up being DC0. I immediately wrote a little app that interpreted all the words in /usr/share/dict/words and stuck them in a sqlite db with Lab color representations so you could query for the nearest phony color word for a specific RGB you wanted. It just showed the 100 best matches sorted by closeness, written in their actual color. Fun little spur of the moment evening project.