Presented by BFC AI Academy — with Chinat Yu
AI is changing venture capital—but the biggest shift isn’t better prompts.
It’s better loops.
The funds pulling ahead are beginning to build repeatable AI-powered workflows that continuously source companies, evaluate opportunities, capture institutional knowledge, and improve over time.
A prompt answers once.
A loop compounds.
Join Chinat Yu for a practical, one-hour BFC AI Academy session exploring what an AI-native venture fund actually looks like—and how investors can start building these systems today.
No technical background required.
Venture deal flow has always been network-bound: you see what your network sees.
AI agents are changing that equation.
We’ll explore how AI-native funds can build sourcing loops across:
Demo days and startup launches
Founder communities
Public signals and emerging companies
Warm-introduction networks
Continuous opportunity discovery
The goal: expand your fund’s reach without expanding partner hours.
What if the first-pass investment memo took 20 minutes instead of three days?
See a live demonstration of an AI evaluation agent that can:
Read sources → evaluate a company against an investment thesis → score key dimensions → draft a first-pass investment memo
while keeping human judgment exactly where it matters most.
This isn’t about replacing investors.
It’s about giving investors more leverage.
A venture fund’s most valuable asset isn’t just its portfolio.
It’s everything the team has learned:
Every pitch.
Every pass.
Every founder conversation.
Every follow-up.
Every investment decision.
Yet much of that knowledge disappears into inboxes, documents, and individual memories.
We’ll explore what a true “company brain” for a venture fund can look like—using shared agent memory, connectors into existing tools, and AI agents that continuously keep institutional knowledge current.
Y Combinator recently open-sourced QM (Quartermaster), the multiplayer AI-agent harness YC uses across its own operations.
We’ll break down:
What YC actually open-sourced
How an agent-based operating system is structured
What QM can—and cannot—do
What it takes to deploy a similar system
Where a VC fund should start first
By the end of this session, you’ll understand:
The Loop Engineering Framework
How to turn repetitive fund workflows into continuously improving agent loops.
The Three Loops of an AI-Native Fund
Sourcing, evaluation, and institutional memory.
A Live AI Deal-Evaluation Workflow
See an agent research, score, and draft a first-pass investment memo from end to end.
The Anatomy of YC’s QM
Understand the architecture behind YC’s newly open-sourced agent system.
Three Things You Can Build This Week
Practical workflows investors can begin implementing with tools like Claude Code—without building a full engineering team.
Your AI-Native Fund Diagnostic
Identify which workflow your fund should automate first and where human judgment should remain.
This session is designed for:
VC Partners & Principals exploring AI-native fund operations
Angel Investors & Syndicate Leads looking to dramatically increase leverage
Founders who want to understand how AI-native investors may evaluate startups
Operators moving into venture capital
Anyone interested in the future of AI-powered investment workflows
No technical background is required.
This is a lecture with live demos + Q&A, not a coding build-along.
60-Minute Live Session
~40 min: Lecture + live demonstrations
~20 min: Live Q&A
📅 Date: Sept 3, 2026
📍 Location: Zoom
Chinat Yu brings elite credentials and practical experience:
Stanford Learning, Design & Technology graduate with expertise in educational innovation
MLH Top 50 honoree recognized for excellence in hackathon organization
Check out his previous winning Hackathon projects below
Award-winning projects: https://devpost.com/cyu60
MLH Top 50 profile: https://top.mlh.io/2023/profiles/chinat-yu
He has spent the summer teaching AI-agent workshops, building agent systems for enterprise clients, and advising venture investors in the U.S. and Asia on AI transformation.
In this session, he brings those conversations together into a practical operating framework for the next generation of venture funds.
It will be designed around AI.
Join us to see what that future looks like—and how to start building it today.
Reserve your spot now.
This is Happening Next Thursday at 7pm PT on Zoom!
Whether you’re in Seattle, Tokyo, Munich, Sydney, or Beijing — you can join us live from anywhere in the world. 🌍
Bay Area Founders Club (BFC), founded by Dr. Paul Fang in Silicon Valley in 2022 and managed by a dedicated group of Stanford alumni and students, is a thriving community of over 100,000 members, including more than 5,000 startups and over 1000 venture capital firms. With most startups in our network raising $1-10 million, and some exceeding $20 million, our mission is to empower creators who aspire to make a global impact. We provide the essential resources, support, and connections needed to transform visionary ideas into reality.
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