Money Makes Bugs Feel Different

I can live with an app crashing.

I don’t like it, obviously. Nobody wants to click a button and watch the thing fall over. But a crash is honest in a strange way. It says, “I’m broken.” You stop. You refresh. You complain a little. Maybe you try again later.

Money is different.

What actually scares me about launching MyTradePilot is not that a page will load slowly, or a button will misbehave, or someone will notice I am a 50-year-old with no coding background trying to build a stock-trading scanner with AI.

What scares me is a real user losing real money because of a bug I didn’t catch.

That sentence sits differently in my stomach.

Early in the build, I had a scanner button that kept returning 0 candidates. No trades. No opportunities. Just nothing. The AI eventually traced it to something in a file called mockMarket.ts, involving a broken seeded random-number generator. There was a hash function returning a float where an integer was needed.

I’m going to be honest: I had no idea what any of that meant.

I just knew the button was supposed to show something, and it didn’t.

That kind of bug is frustrating, but at least it was obvious. Zero candidates is a loud kind of wrong. You click the button, see nothing, and know the thing is not doing its job.

The scarier moment was the phantom gain.

At one point the app showed a $124,000 gain in the P&L that was not real. P&L means profit and loss, which is basically the scorecard for whether a trade is up or down. And there it was, this giant fake number sitting there like it belonged.

That one bothered me more than I expected.

Because the whole point of this kind of tool is trust in the numbers. If the numbers are wrong, the design doesn’t matter. The logo doesn’t matter. The name doesn’t matter. All the little pages and colors and buttons become decoration around a problem.

And believe me, I spent plenty of time on decoration.

I paid for logo generation more than once. I rejected the first logo, asked for five more, picked a paper-airplane-and-candlestick idea, then changed my mind and uploaded my own image. I also rebranded from QuantisAI to MyTradePilot partway through, which led to the site having multiple personalities for a while. One page said TradePilot Academy. The homepage said MyTradePilot™. Somewhere in there the old name was still hanging around.

That stuff felt important at the time. Some of it was important. But compared to a wrong money number, it suddenly felt very small.

There were other moments where I had to trust things I barely understood. A security scan flagged phrases like SUPA_anon_security_definer_function_executable and search_path_mutable. Those words meant nothing to me. They still mostly don’t. I had to ask the AI to fix them and then sit with the uncomfortable feeling of hoping I wasn’t shipping a security hole.

Then came the first recurring bill for market data and the infrastructure to make the scanner run on real-ish data. That monthly cost made the whole project feel less like a hobby and more like a commitment. Not a huge company commitment. More like a middle-aged guy at his desk thinking, “Well, I guess we’re doing this now.”

The good moments matter too.

There was a day when the scanner finally returned real candidates, and the P&L math checked out against a spreadsheet. That was a tiny win, but it felt big. Not because everything was finished. Because one small piece of the trust puzzle actually held.

Still, the fear doesn’t go away.

A trading scanner is not the same as a recipe app or a habit tracker. If a habit tracker misses a streak, someone is annoyed. If a scanner shows a bad number, someone might make a decision with real dollars attached.

That is the part I keep coming back to.

I’m trying not to pretend I can remove every risk. I can’t. But I can move in small honest steps. Test one thing. Check one calculation. Compare the output to a spreadsheet. Ask the AI to explain what changed in plain English. Slow down when the number looks too good to be true.

If I were starting over, I’d pick the name first and stop redesigning the logo. But more than that, I’d remind myself that trust is built in the boring parts.

Not the launch page. Not the icon. The math.

Takeaway: when money is involved, “probably right” is not good enough.