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

David Teten

Private equity and venture capital investors are copying our sisters in the hedge fund and mutual fund world: we’re trying to automate more of our job. Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy.

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

David Teten

Private equity and venture capital investors are copying our sisters in the hedge fund world: we’re trying to automate more of our job. . I use another live Google doc to maintain my database of companies I’m marketing to other VCs. (To see the video above, please click the image, and then click on the Play button.).

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High Returns On A Small Fund Challenge Low Returns On A Big Fund

David Teten

I recently had an extensive debate with Tom about why and whether small funds (like mine, ff Venture Capital ) tend to outperform large funds (like his). I argue that, just as with hedge funds and mutual funds, the larger the venture capital fund, the more difficult it is to generate strong returns.

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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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Conference Notes on Sourcing Deal Flow & Developing New Business for Private Equity

David Teten

Deal aggregation websites Increasing in popularity, trying to increase market efficiency. Build and maintain large email database. Having flexible, searchable databases accessible on mobile devices Move from partner- or people-oriented function to more institutionalized, systematic, and scalable. Intermediaries. Social media.