Intro2
Startup-investor matching tool
Data Science · Venture Capital
About the project
Intro2 was a data-driven tool designed to solve the fundraising inefficiency problem. It connected startup founders to their best investors at scale, streamlining the matching process based on investment thesis, stage, and sector focus.
Finding the right investor is notoriously opaque and inefficient for early-stage founders. Most introductions come through warm networks, which systematically disadvantages founders without access to those networks.
Intro2 used structured data and matching algorithms to surface the right investors for a given startup, reducing the time and luck required to get to the right conversations.