Data-driven VC: October Roundup
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Data-driven VC: October Roundup
Where venture capital and data intersect. Every week.
šĀ Hi, Iām 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: āThe 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
āVC GPT: How LLMs are strengthening SignalFireās 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
āIs AI the end of the shark tank as we know it?ā guest article in TechEU by ArK Kapitalās CTO Elin BƤcklund here, exploring how AI can revolutionize investment decisions, level the funding playing field, and improve diversity in the tech industry
āA 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
āScouting 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
āHow EQT Motherbrain uses LLMs to map companies to industry sectorsā post by Valentin Buchner from EQT Motherbrain here, summarizing findings from his Masterās thesis on industry sector classification with LLMs
āHow 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
āWhere Do Unicorns Come From?ā study by Endeavor here, studying the career journeys of the Top $1+ Billion founders
JOBS (Reach out to share relevant jobs here)
š„Senior Software Engineer @Earlybird VC in Munich or Berlin hereš„
š„Software Engineer Intern @Earlybird VC in Munich or Berlin hereš„
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 AreaĀ here
Data Integration Intern @XAnge in Munich or Berlin here
OTHER RESOURCES
āAI Agents, VC Insights on AI, and Building in Publicā 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
āInsights from 5k early-stage pitch decksā LinkedIn post by Adam Shuaib here, sharing doās and donāts for startup founders to consider
āHow to find companies that are ready to buyā step-by-step LinkedIn thread by Alexis M. here that helped companies 3x their demo requests + ā17 Intent Signals to Buyā thread here
āData-driven VC Landscape 2023ā 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 MONTHāS DATA-DRIVEN VC EPISODES
#55 āHow to Not Miss the AI Train: Essentials You Need to Knowā
#57 āThe Biggest Challenge for Data-Driven Investors: Mirroring the Past Into the Futureā
#58 āHow to Extract Names From Startup Landscapes & Market Maps At Scaleā
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 editionš.