Somebody please make a browser plugin that uses this data.
I know the data isn't perfect, but it would be nice to be able see who in a thread is a top HNer and which character traits are outliers from the norm. You get insulted by somebody ranked low in Sympathy? No need to worry.
I'm serious. Somebody do this. It would look great on the résumé.
Or, we could learn to do brief history searches and check out past user comments if it really matters.
I'm generally pretty suspicious of any sort of computer-generated personality profiles, and though I understand the appeal to techies of empathy-as-a-service I don't think it's something we should consider relying upon.
Hell, half the fun in life is trying to figure out who other people really are.
Hi. I built a Chrome extension for Hacker News that lets people follow others and get notifications when they are replied to or their karma changes. http://hackbook.club
The ext basically matches my original vision now, so I'm thinking hard about what features to add next, but I'm not quite sure I understand what you're asking for. Are you saying that when the extension says "So and so replied to you", you want, say, a sympathy score shown with that user as well?
On one level it could be a simple bookmarket (bookmark with JS). When clicked, it goes through the HN discussion page. When it finds a top HNer's username, it (1) colors it and (2) shows the category if that HNer is in the top or bottom 10% in any category.
For instance:
edw519 33 minutes ago | link
Top: Cheerfulness, Orderliness, Gregariousness, Agreeableness
Bottom: Imagination, Authority-challenging, Intellect
(I'd also something that shows me when a commenter is somebody important, even if not a karma king.)
Ok this actually makes a lot of sense. When someone replies to you on Facebook, you generally know who they are. On Hacker News, you have no idea. Including some basic (albeit imperfect) information along with a notification reply could be really useful.
This could even be true for the follow-feed mechanism. If you're following someone on Twitter or friends with them on Facebook and they write something that appears in your feed, you are already familiar with the author on some level. In the Hackbook extension, it's fairly common to follow people and not know much about them at all. Again, including some basic Watson-generated information along with the "a user you're following wrote a comment" newsfeed item could be helpful.
Let me give it some more thought and maybe I'll have time to work on it this week.
Observing something changes it. It'd probably be useful in the beginning, but as soon as people start replying based on these personality profiles, it won't be useful anymore.
I know the data isn't perfect, but it would be nice to be able see who in a thread is a top HNer and which character traits are outliers from the norm. You get insulted by somebody ranked low in Sympathy? No need to worry.
I'm serious. Somebody do this. It would look great on the résumé.