While anyone can come up with a great idea, the key to a successful investment lies in evaluating whether the startup has what it takes to achieve Product-Market Fit (PMF) and sustain growth beyond that point.
To be a successful venture capitalist, it's crucial to harness the power of data and technology.
One emerging approach is leveraging Large Language Models (LLMs) to gain a competitive edge in the field. In this article, we'll explore how you can become a data-driven VC by using LLMs effectively.
According to Pitchbook's analysis of US VC fund performance since 1978, there's a compelling case for family offices to consider these emerging funds, especially those with a size smaller than $350 million.