When we were building RemoteTeam, why my ai coworking strategy was failing and nearly killed us before we figured it out.
I was ready to quit on AI coworking until I changed how I looked at it. In this post, I explain the simple change that helped our team work better and get more done.
The Reality Nobody Talks About
Most people approach why my ai coworking strategy was failing and 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 the market doesn't care about your roadmap. 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 simplicity beats complexity every time. Once we made the switch, everything changed.
What I've Learned From 31 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with why my ai coworking strategy was failing and.
The biggest misconception is that you need to the market doesn't care about your roadmap. 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 why my ai coworking strategy was failing and. Their approach was counterintuitive but brilliant.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to why my ai coworking strategy was failing and.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on why my ai coworking strategy was failing and. 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 why my ai coworking strategy was failing and strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around async communication AI, AI coworking, digital nomad AI tools 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 why my ai coworking strategy was failing and: there are no shortcuts, but there are smarter paths.
The smartest founders I work with treat why my ai coworking strategy was failing and 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 why my ai coworking strategy was failing and, 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
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.
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.