This document summarizes a startup success prediction tool called UnicornHuntr. It uses a random forest classifier trained on numerical features like expansion rate and funding, as well as categorical features like industry and business model, of over 4,500 two-year-old startups. When validated via 5-fold cross validation, the tool achieved 80% accuracy in predicting the success of 1,760 new startups. The document lists some industries the tool can provide predictions for, such as mobile, e-commerce, and various healthcare sectors.