Data-Driven VC

Data-Driven VC

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Data-driven VC: October Roundup
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Data-driven VC: October Roundup

Where venture capital and data intersect. Every week.

Andre Retterath's avatar
Andre Retterath
Oct 31, 2023
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Data-driven VC: October Roundup
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šŸ‘‹Ā 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: ā€œThe Impact of AI on VCā€ 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

  • ā€œVC GPT: How LLMs are strengthening SignalFire’s in-house AIā€ 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

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

  • ā€œA Co-investment Network Analysis: Finding the Most Influential and Connected Investors in the Netherlandsā€ post by Mustafa Torun from InvestNL here, showcasing how social network analysis reveals power dynamics across ecosystems

  • ā€œScouting Process: From Days to Hoursā€ 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

  • ā€œHow EQT Motherbrain uses LLMs to map companies to industry sectorsā€ post by Valentin Buchner from EQT Motherbrain here, summarizing findings from his Master’s thesis on industry sector classification with LLMs

  • ā€œHow EQT managed to analyze 50 mln companiesā€ interview between Lele Cao from EQT Motherbrain and BeBeez here, providing a high-level view on their data-driven platform

  • ā€œWhere Do Unicorns Come From?ā€ study by Endeavor here, studying the career journeys of the Top $1+ Billion founders

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