š Hi, Iām Andre and welcome to my newsletter Data Driven VC which is all about becoming a better investor with data and AI.
Join our upcoming in-person events:
DDVC x SuperReturn Breakfast 9th June in Berlin
DDVC x Bits & Pretzels Breakfast 30th Sept in Munich

Speak the email. Send the email.
Talk through your reply and get polished, professional text ready to paste. Wispr Flow strips filler, fixes grammar, and formats everything. 89% sent with zero edits. Works everywhere.

Welcome to another edition of our Sunday āResourcesā stream where we share our most valuable data & resources across four rotating formats:
For 1. and 2., we collaborate with best-in-class partners to ensure you get the highest quality data. For 3. and 4., we leverage our ever-growing product portfolio and share selective snapshots of the most sought-after resources from The Lab.
At the end of this post, you'll find a unique deep dive on "Opportunities & Challenges for Agentic VCs" with Yohei Nakajima, General Partner at Untapped Capital and creator of BabyAGI, one of the first open-source autonomous agent frameworks.


RESOURCES OVERVIEWš ļø
ā Join our free āAI & Automation for VCā Slack group
ā Summarize 50+ newsletters with ChatGPT
ā Evaluating startups with ChatGPT
ā VC Co-Pilot for deal sourcing
ā Top 10 Prompts for startup sourcing
ā Top 10 Prompts for startup screening & due diligence
ā Top 10 Prompts for deal winning & closing
ā List of 312 family offices
ā List of 59 pension funds
ā List of 1513 angel investors
ā List of 997 accelerators
Access these and more resources like our Slack community, 100+ masterclasses, automation templates, Notion templates, copilots, and more via our Annual and Premium subscriptions to The Lab.

Why Most VC Agents Fail Before the Agent Even Runs
I'm excited to share one of the most watched sessions from the Virtual DDVC Summit 2026 today!
Yohei Nakajima, GP at Untapped Capital and the creator of BabyAGI, has been running agentic experiments inside his fund for more than three years. He's shipped them, broken them, and rebuilt them.
His session is a frank tour of what's worked, what's collapsed under its own maintenance cost, and what he's stopped trying to build entirely.
His core argument cuts against most "AI in VC" advice you've read.
Better prompts and bigger models are secondary.
The foundation is a better operation.

Watch if you want to learn:
Why "strong agents start with a strong org"; the lesson Yohei wishes he'd internalised three years earlier, and what it means for how you sequence your AI roadmap
The counter-intuitive advice to start with experimental, low-stakes workflows rather than your biggest bottleneck, and why getting this wrong is costly
What small composable agents actually look like in practice at a working fund
How what your firm chooses to automate reveals what it thinks its job is (access vs. conviction, with two real-world examples)
The concrete stack Yohei uses today: for system of record, deep diligence, knowledge graph memory, and why he stopped running dozens of parallel experiments at once at once
The maintenance trap that consumed most of his last 12 months, and the architectural decisions that finally got him out of it
⦠and a lot more
Hereās the link to the full panel discussionš
Subscribe to our premium content to read the rest.
Become a paying subscriber to get access to this post and other resources from our exclusive Data Driven VC community.
UpgradeA subscription gets you:
- Products like automation templates, prompt libraries, AI copilots
- 100+ masterclasses with experts from leading funds
- Access to our exclusive Slack community
- ... and lots more


