Data-Driven VC

Data-Driven VC

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Data-driven VC: January Roundup
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Data-driven VC: January Roundup

Where venture capital and data intersect. Every week.

Andre Retterath's avatar
Andre Retterath
Jan 31, 2024
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Data-Driven VC
Data-Driven VC
Data-driven VC: January Roundup
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👋 Hi, I’m Andre and welcome to my weekly newsletter, Data-driven VC. Every Tuesday, I publish “Insights” to digest the most relevant startup research & reports, and every Thursday, I publish “Essays” that cover hands-on insights about data-driven innovation & AI in VC. Follow along to understand how startup investing becomes more data-driven, why it matters, and what it means for you.

Join 18,500+ thought leaders from VCs like a16z, Accel, Index, Sequoia, and more.


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Welcome to our monthly wrap-up episode where we’ll cover January’s most relevant content at the intersection of VC, startups, data, AI & productivity. I read it all so you don’t need to - here we go👇


INTERESTING RESEARCH & REPORTS📈

This section is a teaser for what you can expect from our new weekly “Insights” episodes launching next Tuesday: Alternating formats that “Digest” the most interesting startup research & reports from the previous two weeks + “Synthesize” all available research to create a deep knowledge base for various startup topics.

  • What are the patterns of successful startups? We ran the numbers on 25k+ teams and found:

    • Number of executives: 3-6 is best, single founder is worst

    • CEO: Important to be founder, external CEO is bad

    • Age: Teams with higher age are more successful; little difference between 25 to early 40s

    • Education: Master and PhD similarly good, Bachelors and no degree both bad

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SHAP values: Positive values = promoters and negative values = detractors of startup success
  • Equity for Advisors: What's the Benchmark? When it comes to equity grants for advisors in US startups, recent Carta data from 47k+ advisor grants reveals some intriguing benchmarks:

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