Nat Pryce wrote a fun little library the other day called code-words. It rips your source into words, and turns the words into a wordcloud. In short, a visual representation of the most common words in your source, and using font size to indicate the more common terms. The aim is to give an introduction into the concepts the code speaks about. And in playing around with it I noticed something interesting.
[Extra form validation angular-ui]: http://angular-ui.github.com/
[Meteor Postgres]: http://stackoverflow.com/questions/10802191/using-meteor-with-postgresql
[Node.js pg]: http://gurjeet-tech.blogspot.co.uk/2012/11/install-pg-nodejs-module-node-postgres.html
[Postgres Node.js LISTEN NOTIFY]: http://bjorngylling.com/2011-04-13/postgres-listen-notify-with-node-js.html
[pg Standalone Client]: http://lheurt.blogspot.co.uk/2011/11/listen-to-postgresql-inserts-with.html
[Meteor Fibers]: http://stackoverflow.com/questions/10192938/meteor-code-must-always-run-within-a-fiber-when-calling-collection-insert-on-s
[Node Fibers]: https://github.com/laverdet/node-fibers
[Node Postgres]: https://github.com/brianc/node-postgres
[Meteor Angular Leaderboard demo]: https://github.com/bevanhunt/meteor-angular-leaderboard
[Meteor Principles]: http://docs.meteor.com/#sevenprinciples
I’ve been playing around with [Meteor] recently for an internal LShift project in which I wanted the browser to have a read-only live view onto some timetracking data from [TimeTracker] as it changes. When a developer records time spent on a particular task, a row is inserted into a [Postgres] database. Simples.
One of Meteor’s selling points is its transparent client-server data synchronisation through its powerful `Collections` API, which is backed by MongoDB on the server side. This poses a potential challenge for us: how can we leverage the reactive `Collection`s of Meteor yet feed it with Postgres data?
Well, I did manage to wrestle my fork of Bevan Hunt’s (a Meteor contributor!) excellent [Meteor Angular Leaderboard demo] into live page update as database insertions occur on Postgres. You could extend this to deal with database updates and deletions as well, an exercise left for the willing.
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