- SMS in Disaster Response — Haitians SMS urgent needs to 4636, where they’re translated through crowdsourcing and acted on. All based on the Uhsahidi SMS engine.
- Inside Open Source’s Historic Victory — open source developer wins against someone who took his work, added it to an open patent application, and then sued the open source developer for violating his patent.
- What’s Wrong with Confidence (Pete Warden) — the lean startup approach and the scientific method. Good read, with two magnificent quotes: “Strong opinions, weakly held, and Confidence is vital for getting things done, but it has to be a spur to test your theories, not a lazy substitute for gathering evidence.
- If You’re a Pirate — the user experience of legitimate DVDs is shite. That’s not the only reason that people pirate, but it sure ain’t helping.
"lean startup" entries
Designing data products, five tough health care lessons, lean startup for publishers.
This week on O'Reilly: We looked at a four-step approach for designing great data products, Andy Oram shared the lessons he's learned about health care, and we learned about a competitive advantage that publishers aren't seizing.
Eric Ries on how lean startup methods apply to publishing.
In this video interview, "The Lean Startup" author Eric Ries talks about his experiences working with traditional publishing structures and how publishers can benefit from lean startup principles.
A brief history of O'Reilly books, how to think about and create visualizations, the fundamentals of publishing.
This week on O'Reilly: Tim O'Reilly looked back on important titles from O'Reilly's history, Pete Warden explained the thoughts and actions behind his latest visualization, and LeVar Burton reminded the TOC 2012 audience why storytelling matters.
"Running Lean" author Ash Maurya on startup adaptation and the gift of obscurity.
Drawing from the Lean Startup and other methods, "Running Lean" helps entrepreneurs transform flawed Plan A ideas into viable companies. "Running Lean" author Ash Maurya explains the basics in this interview.
The ability to augment people (meat) with data and processes (math) is a key to success.
Successful companies find ways to augment their employees, allowing them to operate at scale with customers. Big data, machine learning, and an iterative, experimental mindset are essential — and increasingly, company valuations are tied to the efficiency with which firms put information to work.