The gap between theory and practice in hyper-personalized content: what every creator needs to know is enormous. I've lived on both sides.
For years, I struggled with AI-powered filmmaking, making every mistake in the book. I’m sharing my personal playbook, distilled from hundreds of failures and a few massive wins, to help you shortcut your path to success.
The Counterintuitive Truth
Here's what surprised me most about hyper-personalized content: what every creator needs to know: the best practitioners do less, not more.
When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.
The lesson I took from that experience, and from watching hundreds of other companies, is that customer feedback is the only metric that matters. It sounds simple. It's incredibly hard to execute.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating hyper-personalized content: what every creator needs to know. It's not complicated, but it requires discipline.
Step 1: the best solutions are often the simplest ones This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: most founders overthink this and underspend on execution 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 hyper-personalized content: what every creator needs to know are the ones that treat it as an ongoing process, not a one-time project.
What I've Learned From 132 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with hyper-personalized content: what every creator needs to know.
The biggest misconception is that you need to most founders overthink this and underspend on execution. That's backwards. The companies that win are the ones that you need to move fast and break things.
I remember sitting with the Anthropic team early on and discussing how they thought about hyper-personalized content: what every creator needs to know. Their approach was counterintuitive but brilliant.
The Numbers Don't Lie
I've tracked the performance of companies in my portfolio that take hyper-personalized content: what every creator needs to know seriously versus those that don't. The difference is stark.
Companies that invest early in hyper-personalized content: what every creator needs to know see, on average, 2-3x better outcomes within 18 months. That's not a small edge. That's the difference between raising your next round and running out of runway.
One of my portfolio companies went from struggling to profitable in under a year after they finally got serious about this. The founder told me later that they wished they'd started sooner.
This connects to broader themes around AI game design, creative AI tools, AI storytelling that I've been thinking about a lot lately.
What's Next
The world of hyper-personalized content: what every creator needs to know is moving fast. What worked last year might not work next year. That's both the challenge and the opportunity.
My advice: stay curious, stay humble, and stay close to the people who are actually doing the work. Read less thought leadership and do more experiments. Talk to fewer consultants and more practitioners.
And if you're a founder building in this space, remember that the best time to get hyper-personalized content: what every creator needs to know right is before you need to. Don't wait for a crisis to force your hand.
I'll keep sharing what I learn. This stuff matters too much to keep to myself.
Frequently Asked Questions
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.