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Ilya Grigorik is an awesome Ruby coder (one of the 22% most active Ruby users) who spends a lot of time commenting on issues between pushes. Ilya is a fulltime hacker who works best in the evening (around 8 pm).

Ilya's developer personality is very similar to Deshi Xiao's but Deshi is more of a CoffeeScript aficionado. There is also an uncanny similarity between Ilya's activity stream and those of Jakub Okoński, Thomas Deinhamer, Davide D'Agostino, and Jan-Erik Rediger.

It seems like Ilya is—or should be—friends with Umar Hansa. With this in mind, it's worth noting that Umar has a less consistent weekly schedule. There is also an obvious connection between Ilya and Jamie Peter Goodwin, Yuya Saito, Raphael Randschau, and Matteo Collina.

These days, Ilya is most actively contributing to the repositories: igrigorik/em-http-request, igrigorik/http-client-hints, postrank-labs/goliath, igrigorik/node-spdyproxy, and igrigorik/vimgolf.


The two following graphs show Ilya Grigorik's average weekly and daily schedules. These charts give significant insight into Ilya's character as a developer. The colors in the charts indicate the fraction of events that are issue comments, watching, pushes, new issues, and pull requests.

Note: an attempt has been made to show these plots in in the correct timezone (based on Ilya's location listed on their GitHub profile) but this procedure is imperfect at best.

We already know that Ilya loves commenting on issues whenever they're not pushing code but the following chart sheds some light onto what Ilya does with their open source time. In the full event stream analyzed for this report, there are a total of 1766 events recorded for Ilya. The colors in the pie chart below indicate the number of events that are issue comments, watching, pushes, new issues, and pull requests.

Ilya has contributed to repositories in 25 languages. In particular, Ilya seems to be a pretty serious Ruby expert. The following chart shows the number of contributions Ilya made to repositories mainly written in Ruby, JavaScript, CSS, Go, and Perl.

Note: like stats? Of course you do. Did you know that you can get access to the raw data that was used to generate this page in JSON format?

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