Data-driven VC: December 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.
Join 3.4k+ thought leaders from VCs like a16z, Accel, Index, Sequoia and more.
Past: “The impact of ChatGPT on PE and M&A” webinar with Pietro Casella from EQT, among others, hosted by Gain.pro, register and watch the recording from 15. Dec 2022 here
Upcoming: “Deal sourcing: How to spot the best deals early” at 0100 Conferences 29. Mar 2023 in Amsterdam, register here
READS & RESEARCH
“Disrupting private capital using machine learning and an event-driven architecture” by Ylva Lundegård and Dhiana Deva from EQT here, revealing a detailed overview of the event-driven infrastructure behind Motherbrain
“More needles, bigger haystacks: What we mean when we talk about data-driven VC” by Jonas Vetterle from Moonfire here, describing (in a fun and metaphoric way) how they automate the sourcing and screening parts of the value chain and thereby increase the efficiency of the investment team
“Value accrual in the modern AI stack” by my Earlybird colleagues Akash Bajwa, Laurin Class and myself here, explaning the recent hype behind generative AI and sharing a simple framework to understand the value creation across the stack
“Want to raise more cash for your startup? Post on LinkedIn” by Eleanor Warnock from Sifted here, sharing that the most-followed unicorn CEOs raise as much as 20% more cash
Salesforce Developer / Architect @Cathay Innovation in Paris here
“Best CRM for VC/PE” LinkedIn thread by my friend Dirk Sahlmer here, finding Affinity as the favorite solution
“Colourful Careers” podcast with myself walking through my journey of becoming a “data-driven VC” and explaining how we leverage technology at Earlybird to make VC more efficient, effective and inclusive here (German only, sorry!)
“If you want to be a great venture firm in 2030, it’s gonna require technology”, great interview with Roelof Botha (Sequoia) hosted by Adeo Ressi (VC Labs) here
“My tech stack as a solo GP” Twitter thread by Ben Zises here, sharing that Angellist provides the most comprehensive offer and that overall less is more
THIS MONTH’S DATA-DRIVEN VC EPISODES
Who are the (technologically) most innovative VCs? Who should not miss on the “Data-driven VC Landscape 2023”?
Submit your vote until tonight and be among the first to receive the full report including the tech stacks of the leading VCs, their CRM systems, productivity tools etc. and see whom they follow for inspiration.
Did I miss anything? Please reach out and let me know.
Thank you for reading. If you liked it, share it with your friends, colleagues and everyone interested in data-driven innovation. Subscribe below and follow me on LinkedIn or Twitter to never miss data-driven VC updates again.
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😎.