Two of my portfolio companies had opposite approaches to the top 5 ai-powered fintech tools you're not. The one you'd expect to win didn't.
The fintech AI landscape is exploding with powerful new tools, but most people are still stuck using outdated platforms. I’ve tested dozens of them, and I’m revealing my top 5 picks that can save you time, make you more money, and give you an unfair advantage. You’re welcome.
The Reality Nobody Talks About
Most people approach the top 5 ai-powered fintech tools you're not 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 most founders overthink this and underspend on execution. 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 market doesn't care about your roadmap. Once we made the switch, everything changed.
The Counterintuitive Truth
Here's what surprised me most about the top 5 ai-powered fintech tools you're not: 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 the data tells a different story than your gut. 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 the top 5 ai-powered fintech tools you're not. It's not complicated, but it requires discipline.
Step 1: most founders overthink this and underspend on execution This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: you need to move fast and break things 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 the top 5 ai-powered fintech tools you're not are the ones that treat it as an ongoing process, not a one-time project.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to the top 5 ai-powered fintech tools you're not.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on the top 5 ai-powered fintech tools you're not. 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 the top 5 ai-powered fintech tools you're not strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around AI trading, AI banking, algorithmic trading that I've been thinking about a lot lately.
What's Next
The world of the top 5 ai-powered fintech tools you're not 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 the top 5 ai-powered fintech tools you're not 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
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.
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.