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How To Lose Fat And Gain Muscle With Venture Capital

David Teten

All venture capital and NIH funding data for CY 2010 – 2014 in USA. A standardized way to look at the issue is to calculate funding per DALY, i.e., the amount of venture capital (both private and corporate) and NIH research funding allocated to combat each year of healthy life lost. Source: NIH, CB Insights.

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9 Austin Startup Week Sessions at Capital Factory That Blew Us Away

Austin Startup

Opening Night Happy Hour and Keynote with Scott Kupor: Secrets of Sandhill Road | Fundraising Track Joshua Baer , Founder and CEO at Capital Factory, delved into the transforming realm of venture capital with Scott Kupor , Managing Partner at Andreessen Horowitz.

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Learn to code? How about learn to sell!

This is going to be BIG.

The company sells to local governments, real estate management companies, educational institutions--anyone responsible for public or private infrastructure. Slow sales cycles. There are a lot of reasons not to like the space that Publicstuff is in. That alone is enough to make a lot of VCs throw up a little in their mouths.

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boldstart in 2016, enterprise tech in 2017

BeyondVC

Combining the bottom up, user-driven model with forward thinking IT execs has resulted in shortened enterprise sales cycles across our portfolio and some phenomenal reference customers. And let’s not forget about the ongoing rise of government sponsored attacks, a trend that will only proliferate in 2017.

Stealth 60
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FinTech Innovation Lab Launch Event – June 2, 2011

David Teten

Social networking is governed by SEC 17a4, and SEC hasn’t opined on this. Sales cycle can often go into something like co-development. 2-18 month sales cycle. A few companies (Google, Amazon, MSFT) have compute economies of scale that no other entity can touch, including government.

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

Cracking the Code

In my case (LucidEra -- a SaaS analytics provider focusing on sales, marketing, and financial analytics), weve found that success requires not only building some best practices for analytics into our solution, but also coming up with a repeatable and scalable way to show the customer how to use the analytics and how to interpret the results.