Our Meta-algorithm is a power tool designed to process vast amounts of data, enabling us to make informed decisions and predictions about the startups we invest in. At present, our set of algorithms are built to handle the following data sets, which collectively comprise several thousand data points, making it ideal for our Alpha deployment.

With ongoing research and development, we are on track to expand our capabilities significantly. By 2024, we anticipate that our algorithm will be capable of handling millions of data points, representing a major milestone in our development.

In 2026 we anticipate that Blueprint will be able to process billions of data points.

<aside> 💡 Our goal is to track 1 trillion data points by 2030.

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To provide a concrete example, our Meta-algorithm can analyze the behavior of any startup while building a SaaS platform. This includes analyzing user engagement rates, feature usage, and customer feedback. By leveraging this data, we can gain unique insights into the future of SaaS companies, understand their pain points better, and deploy capital more effectively to the right founders at the right time.

Likewise, our algorithm can analyze founder behavior on social media platforms, including engagement rates, click-through rates, and demographic data. This data can improve the funding experience, increase fund deployment rates in the right areas, and ultimately help us grow the winners in our fund.

Overall, our Meta-algorithm represents a major step forward in our ability to process and analyze data while deploying funds, and we are excited about the possibilities it holds for the future. With ongoing development and refinement, we believe that it will continue to revolutionize the way we work with data, opening up new horizons for research and discovery in the space of Venture Capital.

Sample dataset outline: