People have done simple word frequency analysis in various domains, and it's been effective -- from (housing listings, resumes, car listings) the takeaway I have is specific, quantifiable things seem to raise value, vague or weasel terms tend to lower value. I think the #1 word for housing listing value is "granite" (as in granite countertops), and various hedge/weasel words like "cozy, comfortable, ..." lower it.
Naively, I'd assume the same might be true of something like a YC app. Harj has said in many places that he turns to the "impressive achievements" section first (http://askolo.com/harj#4f74bc2be6c38a8e50000077). I'd assume that's fairly similar to a resume and would have the same statistical properties.
Bayesian, or other algorithmic approaches (what many call AI), on signals like word frequency can help with separating wheat from chaff. Rarely any better when it comes to such multivariate decisions. Given the uncertainty in startup success, perhaps a rough solution at scale would perform. Maybe that's the goal with YC, but at least on the outside YC has always seemed more like an elite private school that delivers on personal treatment and alumni network. I wonder whoa is building the equivalent of the public university.
for those interested, a nice explanation of the correlation of words to value / weaseliness in real estate is covered in a chapter of the book Freakonomics.
Chapter 2. (I googled "freakonomics real estate" and got a helpful google book search except. I love living in the future; Book Search and Google News are the best-executed Google products of the post-gmail period.)
Naively, I'd assume the same might be true of something like a YC app. Harj has said in many places that he turns to the "impressive achievements" section first (http://askolo.com/harj#4f74bc2be6c38a8e50000077). I'd assume that's fairly similar to a resume and would have the same statistical properties.