Startup Lessons: The Fallacy of Customer Development

Posted Posted in Startups and Entrepreneurship

The biggest challenge most web applications face is building a significant path to customers. Rather than going through customer discovery, customer validation, and then tackle customer creation, which can take months, I find it critical to start building and testing “significant enough” paths to customers much sooner. via You may not be able to […]

LinkLog – The Big Idea: Creating Shared Value – Harvard Business Review

Posted Posted in Ideas, Creativity, Innovation

A big part of the problem lies with companies themselves, which remain trapped in an outdated approach to value creation that has emerged over the past few decades. They continue to view value creation narrowly, optimizing short-term financial performance in a bubble while missing the most important customer needs and ignoring the broader influences that […]

What are some of the significant emerging technologies to pay attention to?

Posted 1 CommentPosted in Ideas, Creativity, Innovation

What are some of the significant emerging technologies to pay attention to? Here are some answers I added (to my question) 1.Social Web – social networks and social aspects of apps 2. Mobile Apps on Smartphones 3. Games – especially Learning Games and Social games 4. Robotics 5. Multi-core and Parallel Programming 6. Next evolution […]

Top Programming Languages

Posted 1 CommentPosted in Ideas, Creativity, Innovation

According to Simply Hired, since April 2009, Java jobs increased 52 percent, Perl jobs increased 33 percent, C# jobs increased 52 percent, Objective C jobs increased 60 percent (however, a search for “Objective-C” showed a 207 percent increase in jobs), Visual Basic jobs increased 112 percent, JavaScript jobs increased 76 percent, Ruby jobs increased 78 […]

Machine Learning in Python

Posted 7 CommentsPosted in Ideas, Creativity, Innovation

Milk is a machine learning toolkit in Python. Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems. via Researching machine learning toolkits and libraries in Python.