I like this site. Question: I can't tell from the source if you are using a CMS of any kind or if this is custom developed in Django or similar. Care to reveal what you used?
It's all custom Django, good guess on that one. I do use my fair share of external Django apps though. Ignoring the built in Django apps, My INSTALLED_APPS list has 10 unmodified external reusable apps, and 11 internal apps, which include ones I built myself and a few reusable apps I had to modify.
That's cool, I'm working on a 'buzz' site as well for the edinburgh festivals, though we're doing some AI magic to pull in crowdsourced reviews and classify them with star ratings. It's jolly good fun, though working with thesps is doing my head in.
I'm working on an app to track work orders for a client. Not exactly riveting, but it's my first real gig and it feels really good to get paid to program.
working on the beta version of Leftos (LEssons For The Opposite Sex) http://leftos.com -- an online dating/relationship advice social network. Building this for a client.
The name sounds like it's a site for liberals...or an operating system for left-handed people. Or a cereal. Or something. It doesn't sound like a name for what it is.
fun little text editor called WHOAD (sort of like woah dude or word heuristic occurrence analysis diagram). Trying it in flex v.s. the jquery version I currently have.
If it's not supposed to be secret, how does it work? Does it look for similarity of what you like or does it weight people in your feed and just skip x% of tweets from heavy low-value tweeters?
Actually, that's exactly what I did in the early stages of the project. Once I started getting some traction earlier this year, it made sense to start putting some real effort into building a much better engine.
Today, that's still one of the methods we employ but it's certainly not enough to make solid recommendations or wrap IP around... so, I've built a team of people much smarter than me to help take this thing to the next level. :)
Well, most of the "secret sauce" is wrapped into the algorithms that we've built so I can't say too much. In general, we're able to learn what topics you're interested in via data that we collect through your implicit and explicit actions. (i.e., we're learning about you by watching who you tend to interact with, retweet, what topics you tend to click through on, who you follow, etc.)
We've been building and improving the algorithm for a few months now -- it's certainly got a long way to go still but, on the other hand, it's certainly come along way so far. :)
This week, at http://hubpages.com we rolled out a table capsule that fits in nicely with our hubtool, our user interface for designing wikipedia-like articles.
Many years ago (just as the web was taking off) I was the database guy for a local soccer association. I always liked the idea of abstracting all that out to a general purpose application but never acted on it. Good luck!
Just launched our latest version of SchoolRack a few days ago. It connects teachers with their students and parents. Lets them upload files, create discussion boards, create homework assignments, etc...
I, with my partners, am working on http://www.snapact.com/ in the midst of creating a better API in order to create more clients for more platforms. Fun and exciting (to me) stuff.
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[ 7.7 ms ] story [ 236 ms ] threadIt's a little sad because there are no reviews yet...but I don't think he's had time to promote it yet.
Thanks to everyone for the positive comments.
She's pretty awesome.
(No URL 'cos it ain't finished yet!)
I'm trying to see how many people go with existing frameworks for this sort of thing.
Awesome!
If it's not supposed to be secret, how does it work? Does it look for similarity of what you like or does it weight people in your feed and just skip x% of tweets from heavy low-value tweeters?
Today, that's still one of the methods we employ but it's certainly not enough to make solid recommendations or wrap IP around... so, I've built a team of people much smarter than me to help take this thing to the next level. :)
We've been building and improving the algorithm for a few months now -- it's certainly got a long way to go still but, on the other hand, it's certainly come along way so far. :)
Check it out tomorrow during daylight!
Used for identifying infill drilling locations.
Updated daily with new well locations.
Working on adding Canada, shale plays, and Gulf of Mexico offshore wells.
Using Memcached on Amazon EC2 + openlayers + Google WGS84 tiles.
http://urls.matthewm.boedicker.org/
http://rmmbr.appspot.com/ - SMS notes (reminders etc) to your inbox
http://therealurl.appspot.com/ - send a URL, get a JSON response with the unshortened version + page title
Good or Evil db - in "private" beta you can use this link if you're really interested.
http://goodorevildb.com/do/register?key=chestermcgester
And then a bizarre jython app that I will probably open source. Yeah, I know I should concentrate on just one thing. Oh well.
http://schoolrack.com
Trying to track late blight on tomatoes. http://gardenobserver.com/report/map. Anyone having pest problems in their gardens? Hook me up!
Currently working on simple posting to tumblr and posterous