Show HN: World cup prediction challenge
Example: http://www.bracqet.com/published/shiv86
Bracqet.com is a University of Technology Sydney, academic project designed to explore the network effects on a product with a high hypothetical viral coefficient. Viral Co-efficient (K) and is a quantitative measure of the average rate of invite sent per user multiplied by the actual signups per invite. Typically actual K > 1 is required to achieve viral growth and the eventual exponential "kick" in the number of user sign-ups. The fundamental premise of bracqet.com was that people would want to fill their brackets (who they are supporting) for the Football WorldCup2014 and publish it on to their Twitter and Facebook accounts, which in turn would induce their friends to do the same. Hence the product design was purely centered around achieving K > 1. This included premature scaling utilizing an HA Proxy load balancer and multiple web server instances to handle the hypothetical viral growth. To find out more about the results of the actual K achieved and the results of this experiment feel free to contact us at admin@bracqet.com. All data is used for academic purposes. Your contribution and feedback to this project is greatly appreciated.