Most of what you've read about we almost gave up on drone ai... then this happened is wrong. I know because I believed it too, and it cost me.
Brother clear kind rather drug old.
The Counterintuitive Truth
Here's what surprised me most about we almost gave up on drone ai... then this happened: 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 most founders overthink this and underspend on execution. It sounds simple. It's incredibly hard to execute.
The Reality Nobody Talks About
Most people approach we almost gave up on drone ai... then this happened 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 simplicity beats complexity every time. 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 the data tells a different story than your gut. Once we made the switch, everything changed.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to we almost gave up on drone ai... then this happened.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on we almost gave up on drone ai... then this happened. I've seen plenty fail because they moved too slow.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. This sounds obvious but you'd be amazed how many founders build their we almost gave up on drone ai... then this happened strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around Figure AI, warehouse robots, surgical robots that I've been thinking about a lot lately.
Final Thoughts
After two exits, 200+ investments, and more mistakes than I can count, here's what I know for sure about we almost gave up on drone ai... then this happened: there are no shortcuts, but there are smarter paths.
The smartest founders I work with treat we almost gave up on drone ai... then this happened as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with we almost gave up on drone ai... then this happened, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
Frequently Asked Questions
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.
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.
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.