Analyze Your HN Posts with Watson User Modeling

Is there any insight as to how this works? I got an Openness rating of 97% and a Harmony rating of 100%, both of which I know are not true. (I also received a Love rating of 1% under my Needs, although that's pretty accurate.)

Interesting, I analyzed myself and patio11.

any insight on the tech stack and how it was implemented?

Seems to be down for me: 404 Not Found: Requested route ('hn.mybluemix.net') does not exist.

This is very cool. Although I don't know how accurate this is, if calibrated and tuned to yield a certain degree of accuracy it will have a variety of use cases.

For example -- When interviewing someone, being able to run their github username (if known of course) to analyze their commit messages, comments, discussions. Or even their hn, reddit, twitter user names (if the usernames are linked with their first names, nothing creepy). It will potentially help to identify candidates that are downright rude, arrogant etc.

Or analyze internal mailing lists, hipchat/slack channels for co workers who are potentially burnt out.

I also get rather high Openess and harmony scores, though I'm particularly amused that Hedonism is scored. How can I be 72% sympathetic and 47% coopoerative but not agreeable?

The IBM documentation doesn't really say anything about how these numbers are calculated