During the MovieLaLa days, we learned something about mistakes i made in procedural animation (and how that I still apply to every investment I make.
For years, I struggled with procedural animation, 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.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to mistakes i made in procedural animation (and how 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 Reality Nobody Talks About
Most people approach mistakes i made in procedural animation (and how with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.
The first thing to understand is that you need to move fast and break things. I've seen this play out across dozens of companies. The pattern is unmistakable.
At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that timing is everything in this game. Once we made the switch, everything changed.
What I've Learned From 122 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with mistakes i made in procedural animation (and how.
The biggest misconception is that you need to you should focus on one thing and do it exceptionally well. That's backwards. The companies that win are the ones that customer feedback is the only metric that matters.
I remember sitting with the Anthropic team early on and discussing how they thought about mistakes i made in procedural animation (and how. Their approach was counterintuitive but brilliant.
The Numbers Don't Lie
I've tracked the performance of companies in my portfolio that take mistakes i made in procedural animation (and how seriously versus those that don't. The difference is stark.
Companies that invest early in mistakes i made in procedural animation (and how 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 music, AI game design, AI journalism, AI filmmaking that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about mistakes i made in procedural animation (and how: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at mistakes i made in procedural animation (and how share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
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 can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
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.
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.