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David Stark is a champion JavaScripter (one of the 8% most active JavaScript users) who loves pushing code. David is a fulltime hacker who works best in the morning (around 9 am).

David's developer personality is very similar to Mathieu Breton's but Mathieu has a more consistent weekly schedule. There is also an uncanny similarity between David's activity stream and those of kelveden, Jaynti Kanani, Alex Nisnevich, and Nick Doiron.

It seems like David is—or should be—friends with Rachel Knowler. With this in mind, it's worth noting that Rachel is more of a pusher. There is also an obvious connection between David and Adam Christian, Robert Kowalski, Patrick Connolly, and Isaac Z. Schlueter.

These days, David is most actively contributing to the repositories: sebuilder/se-builder, Zarkonnen/github_integration_test, Zarkonnen/Cyberpunk, Zarkonnen/se-interpreter, and saucelabs/sb-sauce-plugin.


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

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

We already know that David loves pushing code but the following chart sheds some light onto what David does with their open source time. In the full event stream analyzed for this report, there are a total of 1491 events recorded for David. The colors in the pie chart below indicate the number of events that are pushes, issue comments, new issues, new repos or branches, and pull requests.

David has contributed to repositories in 9 languages. In particular, David seems to be a pretty serious JavaScript expert. The following chart shows the number of contributions David made to repositories mainly written in JavaScript, Perl, Java, Objective-C, and Python.

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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