.net could be about networking - maybe a USB deaddrop series in and around CPT? Dead drops involve taking USBs, planting some cool sh*t on there and just posting it around to see what people can find. Also! What about doing it around all the First Thursday Locations? A map overaly could outline where they are ... not sure about any legal implications... it's not really damage though, is it?
Update: 22 Feb '14.
There seems to be 32 FT locations. The cheapest discs I can find seems to be around ZAR 40, ergo R1280 for the project.
Update: 23rd Feb '15
Been thinking... there's this cool surfcam thing in Durban where they scrape cam images and then also scrape conditions - wind, swell height, direction, duration. That gets put in a DB and then they predict what the conditions may look like. They obviously read the prediciton stats and then do LIKE queries to select an image closest to what the conditions are. I'd need to be able to xpath the curren image (although the param less one seems fine too) and store that with a timestamp. Then, I can scrape magic seaweed for the stats.
You'll need to build up at least two seasons worth of images before it gets accurate, but what the hell. Might as well run it from the start.
Update: 23rd Feb '15
Here's a very quick demo of how iPullRank from a cmd line. It works with xpath... check out the /etc/motd ;) Simple xpath google scrape to get very quick ranking updates. Very convenient.
Update: 27th Feb '15
Another idea: with Kali, I could go around CPT cracking WEP connections and post the last know SSID->passphrase combination.
Update: 28th Feb '15
Navigated directly to the image that the webcam uses. Then created a really simple script to pull the image and delete the old one. In the future I'd wget each one and then rename the file with the time stamp so that we can build up a dir with all the images.
Update: 28th Feb '15 Found a traffic cam aggregator site: https://www.i-traffic.co.za/traffic/cameras.aspx . Seems quite comprehensive and updates regularly. Not sure what I can do with these images... perhaps I can recognise the amount of car shapes on the image and provide a count?