I find this stuff fascinating, partly because I work in the industry and partly because I love sports statistics.
One crazy idea I have it to experiment with some kind of "Sabermetrics for software engineers"–think "WAR for developers" [0]. Using GitHub would be an obvious data-source (how to use it and if its a good idea is an entirely different discussion).
While I think this article makes some good points, he seems to only touch the most simple approaches. There's a lot of things you can do with a GitHub profile. To me, they'd never be deciding factors, but you can definitely extract some pluses out of a person's profile.
Comments
I find this stuff fascinating, partly because I work in the industry and partly because I love sports statistics.
One crazy idea I have it to experiment with some kind of "Sabermetrics for software engineers"–think "WAR for developers" [0]. Using GitHub would be an obvious data-source (how to use it and if its a good idea is an entirely different discussion).
While I think this article makes some good points, he seems to only touch the most simple approaches. There's a lot of things you can do with a GitHub profile. To me, they'd never be deciding factors, but you can definitely extract some pluses out of a person's profile.
[0] https://www.fangraphs.com/library/misc/war/