👋 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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I started this newsletter in September last year with a clear thesis in mind: VC is fundamentally broken and technology can help us fix it. Initially, I shared a variety of learnings from my PhD research as well as my own journey at Earlybird including an overview of different manual and data-driven sourcing approaches, the “make versus buy question”, the most valuable commercial database providers, a step-by-step guide to scrape alternative data sources, the different approaches for de-duplication and entity matching, the importance of feature engineering for proper success scoring… and a lot more.
While diving deeper into this magic rabbit hole in the intersection of VC and data, I occasionally shared some technically rather high-level but still related experiments such as my 10x productivity guide with ChatGPT or a process overview for augmented VCs that attracted surprisingly much attention. Reading your diverse feedback DMs and comments (thank you so much!! always helps me to improve my content), I took a step back and tried to understand why these IMO high-level posts resonated so incredibly well whereas some other IMO super valuable deep dives performed comparably bad.
