Data-driven VC: November Roundup
Where venture capital and data intersect. Every week.
👋 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
“Data-driven Portfolio Modelling” online panel with Pale Blue Dot, Isomer Capital, Eka VC, and Tactyc, hosted by Andreas & David at EU.VC on Jan 17, 2024 12-1.30pm CET here
READS & RESEARCH
“State of European Tech 2023” report by Tom Wehmeier & team Atomico here, sharing the most data-driven analysis of the European startup and venture ecosystem. Major takeaways:
Talent magnet: Europe is a net positive international talent attractor and hosts strong research & AI capabilities
Ecosystem regains value: Combined equity value of private and public tech companies returns to peak of $ 3BN, back to 2021 levels
Rise of tech entrepreneurship: Talent flywheel driven by unicorn alumni created more than 41k early-stage startups, 3.9k+ scale-ups, and 356 unicorns - overall the largest pool of tech companies ever seen in the region
“How to overcome poor data quality when applying ML to early-stage venture” post by Mike Arpaia from Moonfire here, exploring how to deconstruct the investment process into machine-learnable components and why it’s key to augment humans with AI, not replace them
OTHER RESOURCES
“Find the Most Relevant People to Meet at an Event with Automated G-Sheets” LinkedIn post by Vlastimil Vodicka here, explaining how to leverage ChatGPT together with data from LinkedIn, websites, and bios to create your meeting agenda
“Due Diligence Q&A Bot” by Headline here, allowing founders to benchmark their business and prepare for their next fundraise
“What’s the Best Slide Order for A Pitchdeck?” analysis by Adam Shuaib from Episode 1 Ventures here, sharing data-driven insights from 100k pitch decks