The best advice I ever got about 11 things i learned about rolling funds after came from a founder who'd failed at it three times.
I've been an angel investor for 17 years, and my understanding of rolling funds has been completely transformed. These aren't the textbook lessons; these are the hard-won insights from the trenches. Here are the 11 most critical things I wish I knew when I started.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating 11 things i learned about rolling funds after. It's not complicated, but it requires discipline.
Step 1: customer feedback is the only metric that matters This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: the market doesn't care about your roadmap Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail 11 things i learned about rolling funds after are the ones that treat it as an ongoing process, not a one-time project.
What I've Learned From 116 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with 11 things i learned about rolling funds after.
The biggest misconception is that you need to your team matters more than your technology. That's backwards. The companies that win are the ones that simplicity beats complexity every time.
I remember sitting with the Anthropic team early on and discussing how they thought about 11 things i learned about rolling funds after. Their approach was counterintuitive but brilliant.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to 11 things i learned about rolling funds after are fundamentally flawed. Not slightly off. Fundamentally flawed.
The root cause is usually one of three things:
- Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
- Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
- Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
The AI Angle
I can't talk about 11 things i learned about rolling funds after in 2026 without mentioning AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.
The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.
I've seen companies use AI to 10x their 11 things i learned about rolling funds after capabilities. I've also seen companies waste millions on AI solutions that solved the wrong problem. The difference comes down to understanding what you're actually trying to achieve.
This connects to broader themes around syndicate investing, secondary markets, follow-on investing, dilution, rolling funds that I've been thinking about a lot lately.
The Bottom Line
Look, 11 things i learned about rolling funds after isn't rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.
If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at 11 things i learned about rolling funds after aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.
I've been doing this for over a decade. The patterns are clear. The companies that take 11 things i learned about rolling funds after seriously outperform the ones that don't. Every single time.
If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.
Frequently Asked Questions
Are these recommendations still relevant in 2026?
Absolutely. While specific tools and tactics change, the underlying principles remain consistent. I update my thinking regularly based on what I'm seeing in the market and across my portfolio companies.
Which item on this list has the highest impact?
It depends on your stage and context, but in my experience, the items near the top of the list tend to have the broadest applicability. That said, sometimes the less obvious items create the biggest breakthroughs for specific situations.
How were these items selected?
Each item on this list comes from direct experience, either from building my own companies or from patterns I've observed across the 200+ startups I've invested in. I prioritize practical, actionable items over theoretical concepts.