Data-driven VC: October Roundup

Where venture capital and data intersect. Every week.

👋 Hi, I’m Andre and welcome to my weekly newsletter, Data-driven VC. Every Thursday I cover hands-on insights into data-driven innovation in venture capital and connect the dots between the latest research, reviews of novel tools and datasets, deep dives into various VC tech stacks, interviews with experts, and the implications for all stakeholders. Follow along to understand how data-driven approaches change the game, why it matters, and what it means for you.

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EVENTS

• Past: “The Impact of AI on VC” online panel with Fred Destin (Stride VC), Ekaterina Almasque (OpenOcean), Claude Ritter (Cavalry), and myself - hosted by Andreas and David from EU.VC recording here

READS & RESEARCH

• “VC GPT: How LLMs are strengthening SignalFire’s in-house AI” article by Heath Black from Signalfire here, providing a deep dive into their platform Beacon AI and how they leverage LLMs to summarize company descriptions, unify job posts to spot team gaps, and a lot more

• “Is AI the end of the shark tank as we know it?” guest article in TechEU by ArK Kapital’s CTO Elin Bäcklund here, exploring how AI can revolutionize investment decisions, level the funding playing field, and improve diversity in the tech industry

• “A Co-investment Network Analysis: Finding the Most Influential and Connected Investors in the Netherlands” post by Mustafa Torun from InvestNL here, showcasing how social network analysis reveals power dynamics across ecosystems

• “Scouting Process: From Days to Hours” article from Algo Capital here, providing an in-depth analysis of how data-driven approaches and AI supercharge the startup sourcing process and cut time + costs in half

• “How EQT Motherbrain uses LLMs to map companies to industry sectors” post by Valentin Buchner from EQT Motherbrain here, summarizing findings from his Master’s thesis on industry sector classification with LLMs

• “How EQT managed to analyze 50 mln companies” interview between Lele Cao from EQT Motherbrain and BeBeez here, providing a high-level view on their data-driven platform

• “Where Do Unicorns Come From?” study by Endeavor here, studying the career journeys of the Top $1+ Billion founders