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

David Teten

However, in private markets, there is more room to optimize across all 11 steps of the investing process: firm management , marketing, fundraising , origination , manage relationships, due diligence, negotiation, monitoring, portfolio acceleration , reporting, and. They read reviews of the products of target investments.

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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. 2) Raise capital. 4) Manage deal flow.

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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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New San Diego VC Firm Emerges as ‘The Moneyball of Venture Capital’ | Xconomy

www.xconomy.com

In fact, by using analytics software that relies on a different way of measuring risk, the San Diego firm is becoming known in some circles as “the Moneyball of venture capital,” according to David Coats, a co-founder and managing partner. venture investments since 1987. That kind of distilled it,” Coats says.