A practical guide to understanding how venture capital actually works in the AI age — for founders, investors, LPs, family offices, and anyone trying to navigate private markets more intelligently.

This book is the result of nearly two decades of operating, investing, and observing how capital flows through the startup ecosystem.

I started my first company in 2007. Since then, I’ve built, scaled, and exited a business, invested in dozens of startups, and worked alongside thousands of founders across different stages and market cycles. Over time, I began writing to clarify my own thinking — weekly newsletters, market breakdowns, and frameworks around fundraising, portfolio construction, and venture dynamics.

What became clear is that most of the industry still operates on fragmented knowledge.

Founders learn fundraising by going through it.
Investors learn venture by making mistakes.
LPs often rely on secondhand narratives without fully understanding the underlying mechanics.

There are very few resources that bring all of this together in a structured, practical, and modern way.

The Value-Add VC Handbook is an attempt to change that.

It is not a collection of opinions or stories. It is a system.

The book breaks down:

  • how venture funds are structured and how they actually generate returns

  • how portfolio construction works and where outcomes concentrate

  • how founders should think about raising capital across stages

  • how LPs should evaluate funds, managers, and long-term risk

  • how the dynamics of private markets are evolving in the context of AI

The goal is to make the invisible mechanics of venture more explicit and more understandable.

This project also reflects a shift in how knowledge can be created and distributed.

At one point, I explored working with traditional publishing support. The process was expensive, time-intensive, and ultimately optimized for packaging rather than depth. Instead, I chose to build this independently, leveraging everything I had already written and pairing it with modern tools.

Using AI to ingest, organize, and refine years of content allowed me to move faster and think more structurally. At the same time, the work itself still required significant effort — rewriting, validating assumptions, tightening the thesis, and ensuring that each section holds up in practice.

The result is not just a book, but a broader platform.

Alongside it, I built ValueAddVC.com — a set of tools, dashboards, and resources designed to make these concepts more tangible. The book provides the framework. The platform extends it into something interactive and continuously evolving.

This is ultimately a codification of how I think about venture capital after years of being inside it.

Not from a distance, but from direct experience as a founder and investor.

If you are building a company, allocating capital, or trying to better understand how this ecosystem actually works, I believe this will be useful.

I’m excited to share it.

If you read it, I’d appreciate your feedback.

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