Stop Obsessing Over Tesla Optimus. The Real Revolution Is Happening Elsewhere.

Published 2024-06-15 · Updated 2026-05-23 · 7 min read · Robotics and Physical AI · By Sahin Boydas

Door yeah finally she.

A founder asked me last week about stop obsessing over tesla optimus. the real revolution. My answer surprised them, and it might surprise you too.

Door yeah finally she.

The Reality Nobody Talks About

Most people approach stop obsessing over tesla optimus. the real revolution 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 customer feedback is the only metric that matters. 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 most founders overthink this and underspend on execution. Once we made the switch, everything changed.

Why Most Approaches Fail

Let me be direct: about 70% of the approaches I see to stop obsessing over tesla optimus. the real revolution 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 Numbers Don't Lie

I've tracked the performance of companies in my portfolio that take stop obsessing over tesla optimus. the real revolution seriously versus those that don't. The difference is stark.

Companies that invest early in stop obsessing over tesla optimus. the real revolution 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 drone AI, Figure AI, Tesla Optimus 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 stop obsessing over tesla optimus. the real revolution: there are no shortcuts, but there are smarter paths.

The smartest founders I work with treat stop obsessing over tesla optimus. the real revolution 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 stop obsessing over tesla optimus. the real revolution, 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

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.

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.

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.

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.

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