VC Data Analytics Reality

Shaan Puri shares his evolving perspective on data analytics in venture capital, particularly comparing SignalFire's approach with Chamath's Social Capital experiment. Initially skeptical, he acknowledges some utility while maintaining healthy skepticism about the marketing vs. utility balance.

• Data Analytics in VC is a mixed bag:

  • Started viewing it as 90% marketing, 10% useful
  • Evolved to see it as 50% marketing, 50% useful
  • Most effective at two specific stages:
    • Flagging/sourcing new companies
    • Supporting portfolio companies post-investment

• Concerns about data sharing:

  • Founders must share sensitive company data
  • VCs gain valuable market intelligence regardless of investment
  • Creates information asymmetry in the ecosystem

• SignalFire's Approach:

  • Treats itself like a tech startup
  • Measures NPS scores and sets OKRs
  • Keeps tools exclusive to portfolio companies
  • Focus on delivering measurable value to founders

• Historical Context (Chamath's 8-Ball):

  • Attempted to create "Capital as a Service"
  • Used algorithms to rank companies against peers
  • Collected extensive company data
  • Eventually proved more marketing than substance
  • Created founder hesitancy about data sharing

• Key Difference with SignalFire:

  • Only available to portfolio companies
  • Not marketed as a standalone product
  • Integrated into broader support system