Tom Santero explores the various configurations of distributed teams, dissecting both productive as well as undesirable qualities that emerge when working remotely. We will postulate that distributed teams are novel and worth considering, but ultimately impossible to reduce and replicate.
Francois Mazoudier shares some of the stories he came across while building businesses from scratch to IPO, academic models he developed and several real life examples.
Sean Phelan tells the story of MultiMap.com until it was sold to Microsoft, and shares insight from his activity as angel investor.
Marc Frons discusses the New York Times’ digital subscription model. Rajiv Pant shares their experiences transitioning to continuous delivery, and using NodeJS, Scala, cloud and big data.
Albert Wenger shares insight in the API business with examples from companies they have invested into, such as Twitter, Foursquare, Etsy, etc.
John Musser, Joe Rago, Augusto Marietti, Steven Willmott, Michael Vizard
Sprints, Scala, Scale & Serendipity: Blue Sky Thinking and Washing the Pots on the Road to Success at a Technology Startup
Ian Brookes and Rob Strange recount the journey and relationship of a Tech start-up and its software development partner, with the milestones and millstones along the way.
Stephane Dubois shares insight in Xignite’s road building a business model providing APIs for accessing financial data.
John Musser presents 20 API business models explaining how developers can make money with their APIs.
Mike Williams discusses large vs. small software development teams, concluding that smaller teams are better suited for most cases.
Erik Happi Stenman discusses 4 scalability basic requirements: the right business model, the right technology, the right people, and the right (amount of) process.
Dan North shares his experience in a new endeavor working for a trading company with distributed teams embracing ideas from Lean and Theory of Constraints.