👋 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
JOBS (Reach out to share relevant jobs here)
🔥Senior Software Engineer @Earlybird VC in Munich or Berlin here🔥
🔥Software Engineer Intern @Earlybird VC in Munich or Berlin here🔥
Data Scientist @Blossom in London here
Analytics Engineer @Dawn Capital in London here
Analytics Engineer @EQT in Stockholm here
ML master student @EQT in Stockholm here
Data Engineer @Ethereal Ventures remote here
Analytics Engineer @Inflection VC remote here
Data Scientist @Level VC in NY or Miami here
Data Scientist Intern @Red River West in Paris here
Analytics Engineer @Tidemark Capital in San Francisco Bay Area here
Data Integration Intern @XAnge in Munich or Berlin here
OTHER RESOURCES
“AI Agents, VC Insights on AI, and Building in Public” interview between Yohei Nakajima, GP Untapped Capital and Creator of BabyAGI, and Nathan from the Cognitive Revolution podcast here, chatting about the opportunity for AI to strengthen human understanding, AI agents, and insights on investing in AI projects
“Insights from 5k early-stage pitch decks” LinkedIn post by Adam Shuaib here, sharing do’s and don’ts for startup founders to consider
“How to find companies that are ready to buy” step-by-step LinkedIn thread by Alexis M. here that helped companies 3x their demo requests + “17 Intent Signals to Buy” thread here
“Data-driven VC Landscape 2023” report explores how leading investors leverage data & AI by shedding light on 151 top VCs, 65 thought leaders, 400+ tools, hands-on guides for integrating ChatGPT, LLMs, and a lot more
THIS MONTH’S DATA-DRIVEN VC EPISODES
#55 “How to Not Miss the AI Train: Essentials You Need to Know”
#57 “The Biggest Challenge for Data-Driven Investors: Mirroring the Past Into the Future”
#58 “How to Extract Names From Startup Landscapes & Market Maps At Scale”
Did I miss anything? Please reach out and let me know.
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