000000book.com (“Blackbook”) is a new website for archiving and sharing motion-captured graffiti tags. Tags are saved as Graffiti Markup Language (GML) files, which can be created with freely available software like Graffiti Analysis, Laser Tag, and with our two new iPhone apps, DustTag and FatTag Deluxe: Katsu Edition.
Anyone can easily upload GML to #000000book through our open API, and the aforementioned iPhone apps have 000000book.com upload built-in — download the app, start tagging, tap ‘upload’, and see your work immediately featured on the frontpage.
By registering on #000000book you can link your iPhone (or any other device) and your uploads will be automatically added to your account. While browsing the site you can also mark tags as ‘favorites,’ and leave comments/talk shit. And each user has a profile page that shows off their bling:
For example: Tempt1 uploads tags from his EyeWriter in LA, and Katsu and AVONE have been uploading some dope tags from their phones:
Katsu vs. James Cameron, created with FatTag Deluxe
Programmers & artists can then download your GML data and render the tags in any conceivable way, shape, or form. Since our launch last week we’ve already seen a number of amazing GML-based projects:
* Robotagger draws graffiti tags with an 8-foot robotic arm (seriously)
* Baybayin Motion Analysis uses GML to capture & study a pre-Filipino writing system
* Experimental Flash 3D Renderer (Flash) by Ben Hopkins (Kode80)
* GML particle system rendering (Flash) by DIZGID
Developers: we’re compiling API documentation to get you started pulling in GML and/or uploading your own data, as well as sample drawing code for Flash, C++, Javascript and more. Discussion & brainstorming is happening on our mailing list and in #fatlab IRC
Make sure to submit any applications you create — if it runs inside a web browser (e.g. Flash, Javascript or Processing) it can even be used by #000000book visitors to preview tags!
Canvasplayer is a lightweight Javascript-based Graffiti Markup Language (GML) player built with Processing.js, HTML5 canvas, and JSON callbacks. A simple example of pimping “GSON” data from the #000000book GML database — no fancy XML parsers required.
Interested in working with GML? We’re coordinating via #fatlab IRC and a newly created GML mailing list.
GML Webring: intro / recent projects / GML spec / data (#000000book)
Some of my favorite music from 2009. Congrats to Tracky Birthday on the birth of his new son. Thx to Evan for turning me onto Kid Cudi. Thx to my beautiful new wife Ireneface for Hooded Figures –their singer is only 10 years old!
And thx to Blakroc, who help prove my theory that all rock bands secretly wish to be the backing band for sick rappers.
Listen online:
https://fffff.at/fuckflickr/jdubs-XMIX09/
Download MP3s (86MB .zip):
https://fffff.at/2009mixes/jamie-dubs-XMIX-2009.zip
Track listing:
We’d like to thank everyone that participated, published and put up with our week of Kanye Webst. We know there are more important issues going on the world so thanks for indulging with us in seven days of hip-hop, caps lock, source code and popular culture. The week produced 12 new projects, 5 sets of source code, 81 comments and 27 user uploaded images.
Kanye Webst Week has been the biggest traffic week in FAT history to date! Over 70,000 visits:
Digg: 680 diggs, 148 votes [frontpaged] (+3)
Reddit: 70 upvotes & 15 comments across 7 stories: 1, 2, 3, 4, 5, 6, 7
Twitter: 300+ mentions
Some of our projects were frontpaged on Digg, Gizmodo, Gawker, PSFK, todayandtomorrow.net, BuzzFeed, Rhizome, urlesque, A-Trak’s blog, Village Voice, National Post, and ANIMAL among many others (thanks for the love). Pretty much everyone but the man himself, which leaves us asking only one question… WHERE ARE YOU YEEZY?!??!??!! FOR REAL, CAN WE GET SOME BLOG LOVE?!??!??!??!?!?!
To relive Kanye Webst Week again and again go to: https://fffff.at/tag/kanyewebst
The expressions published in this site are all in the public domain. You may enjoy, use, modify, snipe about and republish all F.A.T. media and technologies as you see fit.