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AI, Blockchain, Web 2.0, and Self Driving Cars

View from Seed

First, the ease at which developers can get started working with AI models is starting to lead to a Cambrian explosion of products and applications that leverage this technology. This is not dissimilar to the explosion of applications we saw in the mid-2000’s fueled by declining computing costs, cloud infrastructure, and social platforms.

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Why Build, Measure, Learn – isn’t just throwing things against the wall to see if they work

Steve Blank

Waterfall Development. While it sounds simple , the Build Measure Learn approach to product development is a radical improvement over the traditional Waterfall model used throughout the 20 th century to build and ship products. Waterfall Development was all about execution of the requirements document. Microsoft Windows 3.0).

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Presidential Innovation Fellows, round two

Startup Lessons Learned

The Presidential Innovation Fellows (PIF) program pairs top innovators from the private sector, non-profits, and academia with top innovators in government to collaborate during focused 6-12 month “tours of duty” to develop solutions that can save lives, save taxpayer money, and fuel job creation.

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Reduce Your Server Response Time for Happy Users, Higher Rankings

ConversionXL

Without it, the page will take longer to load, which can damage the user experience and, ultimately, search engine rankings. A slow site means a poor user experience, and search engines will respond accordingly. Once you’ve registered with a CDN provider, you or your web developer will need to enable it on your website.

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How to Hack Growth When Growth Stalls

ConversionXL

Reporting in the Harvard Business Review on a major study of growth stalls they conducted, Olson and his colleagues cite the case of the iconic brand Levi Strauss, which hit a historic high mark of sales in 1995, reaching revenue of $7 billion, but then, starting in 1996, saw a decline in sales so precipitous that by 2000, revenue was down to $4.6

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New Rules for the New Internet Bubble

Steve Blank

Dot.com Bubble ( 1995-2000): “ Anything goes” as public markets clamor for ideas, vague promises of future growth, and IPOs happen absent regard for history or profitability. August 1995 – March 2000: The Dot.Com Bubble. Software companies had to buy specialized computers and license expensive software.

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Customer Data Platforms: The Next Big Shift in SaaS Marketing Stacks?

ConversionXL

In early 2000, the diffusion of Personal Computers transformed the way users made decisions and the paradigm buyer/seller changed again. Organizing multi-channel campaigns, segmenting audiences, and distributing personalized content, suddenly appeared to be easy, like never before. Just like cars with a great engine but no wheels.