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Can You Trust Any vc's Under 40?

Steve Blank

Underwriters realized that as long as the public was happy snapping up shares, they could make huge profits on the inflated valuations (regardless of whether or not the company should have ever been public.) The valuations for acquisitions were nothing like the Internet bubble, but there was a path to liquidity, difficult as it was.

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Putting Twitter’s IPO in Perspective

Agile VC

But at its base level, ubiquitous computing or “mobile” hasn’t actually changed that much from the desktop web when it comes to fundamental business models. Why are media businesses so valuable? In the consumer realm, there are more e-commerce companies that will go public this year than media-based startups.

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VCs eating our own dog food: Using technology and analytics to make better investments

David Teten

Technographics vendors such as Builtwith , Datanyze , HG Data , Stackshare, and Stacklist help CEOs identify the right tech platform on which to build their business; they’re also helpful for investors to due diligence a company’s tech stack choices. Modano standardizes Excel models to improve comparability and reduce error rates.

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What’s Your VC Tech Stack? Results from a Survey of Early-Stage VC Funds

David Teten

As a globally focused LP in early stage VC funds, we at Blue Future Partners have observed a growing trend of firms investing substantially in software tools, whether developing proprietary solutions or adopting off the shelf tools. But what tools are they using themselves to automate their own processes?

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The Humanity of Our AI Future

thebarefootvc

Both hardware (such as sensors that interact with the environment to collect data) and software (the algorithms that are able to intelligently interact with humans or other machines) have become more sophisticated. However, historically, artificial intelligence software has required a lot of training.

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The Humanity of Our AI Future

thebarefootvc

Both hardware (such as sensors that interact with the environment to collect data) and software (the algorithms that are able to intelligently interact with humans or other machines) have become more sophisticated. However, historically, artificial intelligence software has required a lot of training.

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Cracking The Code: The Bessemer 10 laws of SaaS - Fall 2008.

Cracking the Code

Thoughts from a Venture Capitalist on Software, Software-as-a-Service (SaaS), Cloud Computing, Internet and more. “Just say no” to on-premise deployments The most important part of Software-as-a-Service isn’t “Software” it’s “Service”! Cracking The Code. at 11:09 AM.