Two venture capital partners have developed a 38-point framework to identify founders with the potential to build unicorn companies [1].
This approach shifts the focus of early-stage investing from traditional credentials to specific behavioral and psychological traits. By systematizing the search for high-potential entrepreneurs, the partners aim to increase the hit rate of investments that reach a valuation of $1 billion or more [1].
The framework moves away from the standard industry reliance on academic pedigree, or previous employment history. Instead, the system evaluates a series of 38 distinct markers to determine if a founder possesses the drive and resilience necessary for hyper-growth [1].
According to the partners, the goal is to look past the surface level of a candidate's professional background. They said, “The secret is finding ‘monsters,’ not resumes” [2]. This philosophy suggests that the traits required to scale a company to unicorn status are often distinct from those that make a candidate look good on paper.
The methodology is designed to spot outliers who can navigate the extreme volatility of the startup ecosystem. By applying a rigid set of criteria, the VCs attempt to remove some of the subjectivity and bias typically associated with the "gut feeling" of seed-stage investing [1].
The framework focuses on the intersection of ambition, execution, and a specific type of intensity. This structured vetting process allows the partners to filter through a high volume of pitches while maintaining a consistent standard for what constitutes a potential unicorn founder [1].
““The secret is finding ‘monsters,’ not resumes.””
The adoption of a highly quantified framework for founder evaluation reflects a broader trend toward 'algorithmic' or systematic venture capital. By replacing traditional resume screening with a 38-point behavioral analysis, these investors are attempting to turn the art of talent spotting into a science, potentially marginalizing candidates who lack traditional markers of success but possess the raw traits the framework prioritizes.



