Customer Development IPO Metrics Security 
Startup Lessons Learned
OCTOBER 28, 2008
Their idea was to build a next-generation autonomous robot, that could be used by defense and security agencies around the world. The Entrepreneur’s Guide to Customer Development ► June (3) What is a startup? My favorite example of all time comes from students in an entrepreneurship class.
Startup Lessons Learned
JUNE 15, 2009
As a consumer internet company with millions of customers, it may seem to have little relevancy for an enterprise software company with only a handful of potential customers, or a computer security company whose customers demand a rigorous audit before accepting a new release.
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Startup Lessons Learned
OCTOBER 30, 2008
All cash in most secure possible instruments. Over-communicate with employees, investors, customers. Dont sugar coat. ► August (2) SXSW Case Study: SlideShare goes freemium ► July (4) Case Study: kaChing, Anatomy of a Pivot Some IPO speculation Founder personalities and the “first-class man&# th.
Startup Lessons Learned
AUGUST 3, 2009
In a lot of cases, this requires a lot of energy invested in talking to customers or metrics and analytics. While it is still possible - and recommended to experiment with customers in order to determine the minimum that they need, the exercise is bit more complicated due to the formality of the release process.
Startup Lessons Learned
NOVEMBER 11, 2008
In true startup form, the world was forever changed when the CIA and the National Security Agency acted as venture capitalists for this first wave of entrepreneurship. The Entrepreneur’s Guide to Customer Development ► June (3) What is a startup? What is customer development?
Startup Lessons Learned
NOVEMBER 29, 2008
I remember once being asked in a Microsoft group interview (and dinner) about the ActiveX security model. I remember answering "What security model?" Turns out, I had been lecturing the creator of the ActiveX security model. The Entrepreneur’s Guide to Customer Development ► June (3) What is a startup?
Startup Lessons Learned
NOVEMBER 13, 2008
Because five whys kept turning up a few key metrics that were hard to set static thresholds for, we even had a dynamic prediction algorithm that would make forecasts based on past data, and fire alerts if the metric ever went out of its normal bounds. Most of this was code that not scalable, not secure, and not particularly extensible.
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