👋 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 Workflows” article by Ryan, Michael, and Vedika from the Weekend Fund here, showcasing how 16 different VCs leverage modern tools to transform their workflows from sourcing over due diligence to portfolio support
“10 Ways to Leverage LLMs as a Data-driven VC” article by Abel Samot from Red River West here, exploring how a combination of data sources, connectors, vector databases, and embeddings can be leveraged to supercharge sourcing, startup analysis, portfolio support, and more
“The Future of Venture Capital? Insights Into Data-Driven VCs” study by Abhishek Bhatia and Gary Dushnitsky from London Business School here, finding that DDVCs support underrepresented founders more than their traditional VC counterparts (i.e., more females, fewer graduates of ‘elite’ universities)
JOBS (Reach out to share relevant jobs here)
Fullstack Engineer @Atomico in London 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
Analytics Engineer @Tidemark Capital in San Francisco Bay Area here
Data Integration Intern @XAnge in Munich or Berlin here
OTHER RESOURCES
“How to automate cold outreach motion” cheat sheet by Lucas Perret here, providing the full toolkit including triggers and prompts
“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
“How to know if a startup received funding” step-by-step guide for an AI-powered Google Sheet by Tomas Blatak here
“How AI Changes the Deal Market” Handelsblatt podcast episode in German here, describing how we at Earlybird VC leverage data-driven approaches & AI to spot new companies like we did with Aleph Alpha, a leading enterprise-grade genAI company
“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
#51 “Multi-Tasking vs. Deep Work: What Works Best for Investors”
#52 “Why Do KPIs Matter? The Most Comprehensive Guide on What it Takes to Raise a Growth Round”
#54 “‘Leveraging Data Moves from Nice-to-Have to a Must’ with Francesco Corea (Greycroft)”
Did I miss anything? Please reach out and let me know.
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If you have any suggestions, want me to feature an article, research, your tech stack or list a job, hit me up! I would love to include it in my next edition😎.