In my company Luminoso's work, it's important in building domain-specific models that can be used for topic detection, search, and classification. Beyond that, I use it for mostly the basic demos -- word similarity, text similarity, analogies, et cetera.

I believe based on its performance there that it should be a pure upgrade to the kind of applications that use word2vec, but I'd like to know what particular applications it's being used in besides my own.