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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.
Those folks may be hired in vertical specialties, and the larger and more successful incubators have enough dealflow to keep their agendas filled. Dreamit is to me a shining example of this vertical approach. Many accelerators and incubators have institutionalized mentoring in the form of EIR’s or similar titles.
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.
She answered, ‘We see a lot of deals.’ I said we had a lot of dealflow. Chris Dixon, Partner, A16Z, observes , “Success in VC is probably 10% about picking, and 90% about sourcing the right deals and having entrepreneurs choose your firm as a partner”. Kushim manages your dealflow and track portfolio performance.
This typically includes: Relationships with relevant service providers in your vertical, often with pre-negotiated discounts: coaches, lawyers, accountants, common software vendors, consultants. A well-organized library of best practices for founders in your vertical, which you can share as appropriate. AskAnything.VC Disadvantages.
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