It looks into the discussions around a HN post and analyses the comments in order to find their polarity and if it is controversial (due to the conflicting opinions). Then it discovers the topics discussed and uses the Pearson APIs to find relevant content from the Financial Times. Finally it filters that FT content for pertinence and gives a summary of the article discussed, its polarity, related articles, summary and a controversy indication.
The point of this tool is to discover topics that polarise the audience which can be elaborated using reputable FT content.
The inspiration comes from the fact that in peripheral and/or controversial topics one can discover true gems of information due to the nature of the outlier info usually found. At the same time such info may be cross checked using reputable sources such as the FT. It is a tool to gain insight.