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How Private Equity and Venture Capital Investors Are Eating Their Own Dogfood

David Teten

Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy. Relationship Science makes it easier to understand and map social networks into potential limited partners. 9) Time, market, and exit investment.

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Groupon's S-1: From Zero to Like? Billions in 30 Months ? AGILEVC

Agile VC

How They Do It: Build email list of consumers interested in local deals (mainly via paid search & social network ads), sell coupon programs to merchants via telesales. Keep in mind Yipit is an indirect competitor in the daily deals space (essentially a meta aggregator of deals sites), but the analysis is sound IMO.

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ProfessorVC: Touched by an Angel

Professor VC

One of my comments was that we would likely see more institutionalization of angel groups and syndication of deals among groups. While currently free to angel groups, their business model revolves around aggregating the angel investment data. Don't Stop Believin' Is There Any Truth in "The Social Network"?

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

David Teten

Boardex and Relationship Science make it easier to understand and map social networks into potential limited partners. Foundry Group is using their portfolio company Monday to aggregate portfolio companies’ job postings on their own jobs page; Point Nine Capital uses Recruitee for the same purpose.

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Why I’m Doubling Down on the Twitter Ecosystem

Both Sides of the Table

Twitter as a company has encouraged this by granting DataSift “re-syndication rights,” which means that the company can ingest the full Twitter fire hose and resell subsets of it to other parties who want to consume a smaller stream, which is more cost effective in data licenses and in IT resources needed to consume the data.

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Top 30 Startup Posts for July 2010

SoCal CTO

Graphs - Chris Dixon , July 22, 2010 It has become customary to use “ graph &# to refer to the underlying data structures at social networks like Facebook. Computer scientists call the study of graphs “ network theory ,&# but on the web the word “network&# is used to refer to the websites themselves).