I'm Paul Bissex, and e-scribe.com is my consulting business. I build web applications using open source software, especially Django. In the '90s I did graphic design for newspapers and magazines. Then I wrote technology commentary and reviews for Wired, Salon.com, Chicago Tribune, and lots of little places you've never heard of. Feel free to email me.
I'm co-author of "Python Web Development with Django", an excellent guide to my favorite web framework. Published by Addison-Wesley, it is available from Amazon and your favorite technical bookstore as well.
Built using Django, served by Apache and mod_wsgi. The database is SQLite. The operating system is FreeBSD, on a VPS hosted at Johncompanies.com. Comment-spam protection by Akismet. Vintage topo imagery from the Maptech archive. The markup engine is Markdown.
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At least 102345 pieces of comment spam killed since January 2008, mostly via Akismet.
One technical interest I haven't written much about here is spam. I have a fairly aggressive anti-spam setup, and I have a simple spam statistics page that gives hourly breakdowns. But what I've wanted for a long while is some way to aggregate spam stats from other servers into a sort of spam weather report. There are all sorts of reasons why this is impossible to do perfectly -- people have different criteria for what constitutes spam, for one -- but I still think a useful model for sharing data could be worked out. People who are already generating spam stats could publish their data in a microformat, for example. Alternatively, they could submit periodic automatic reports to a central server, which would then make the stats available in machine-readable form. The key would be to make it easy for people to make their data available.
This is sort of a lazyweb post. Does any project or standard for this already exist?
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Copyright 2012
by Paul Bissex
and E-Scribe New Media