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To do this they have to accomplish five things; 1) get dealflow – via networking and legwork, they identify likely industries, companies and teams with the potential for rapid growth (less than 10 years), 2) evaluate those companies and teams on the basis of technology, market opportunity, and team.
Advances in machine learning, specifically natural language processing, have made generating these baseline, aggregate datasets possible, at scale, with high accuracy. Sebastian Soler recently launched Knowledge.vc , which uses software and machine learning to enhance deal sourcing and diligence for VC firms. 4) Manage dealflow.
aggregates resources from all the VCs. I have developed a founder curriculum on my blog. CustomerDevelopment. A well-developed model is Andreessen Horowitz’s Executive Briefing Center. A true industry luminary will help in dealflow & differentiation . AskAnything.VC Disadvantages.
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