[kawin]

Thanks for taking the time to write this out! I agree on the UX suggestions. The suggestions for each word are a list of terms that could work, with the score being conditional on the cohort selected. The darker the alternative, the worse it is -- the pinker, the better.

The reason why technical articles -- or in your case, very domain-specific ones -- get average scores is that the model was intended to be used for recruiting and ad-copy. So at the moment, it works on a common vocabulary for all groups, whereas one reason your article might be intriguing to programmers is because it discusses a lot of domain-specific terms (e.g., discussing 'exploits' and 'network security'). If I modified the model to consider more domain-specific terms, I think the article you provided would rank very highly. There are other reasons as well, like the pithiness and clarity of it, but I do think the vocabulary is an important part of it.

From the little beta-testing I've done, the people who find it most useful are -- for example -- people without a CS/medical/accounting background who have to interact with, recruit, and sell to CS/medical/accounting people. For those folks, I would say there's some value, even at the vocabulary-level, though I agree that there's much more to writing style than just vocabulary.