The Night Two Businesses Had Wildly Different Problems
The same week OpenAI closed a funding round valuing the company at $840 billion, I was up past midnight fixing a bug affecting twelve people.
Not twelve million. Twelve.
We'd launched a new round of BAT assessments for a client, and for about eight minutes, some of the first people to click their invite link couldn't get in. Then a batch of users hit "no questions available." Then a different group got stuck in a loop, unable to finish without leaving feedback they hadn't meant to leave. Each one got fixed within the hour. None of it made the news. None of it was supposed to.

I wasn't thinking about OpenAI while doing it. But the contrast stuck with me later, when the funding headline crossed my feed. OpenAI's round closed at an $840 billion valuation in February 2026, backed by Amazon, Nvidia and SoftBank. It took Apple over four decades to reach a comparable number. OpenAI got there in about a decade.
I run a small HR tool. It isn't going to be worth $840 billion. It's never going to sit in the same sentence as Amazon or Nvidia. And I've made peace with it, because I don't think we're playing the same game.
What $840 Billion Buys
Money at this scale buys compute. It buys the ability to train bigger models, hire the best researchers on the planet, and outlast anyone trying to compete on raw capability. It's an extraordinary bet on an extraordinary technology.
What it doesn't automatically buy is trust. And trust is where I spend most of my working life.
The afternoon of the launch, between bug fixes, I sat on a call with the client about something with nothing to do with features. Links. Specifically, the ugly, suspicious-looking tracking links our emails sent out, the kind making people hesitate before clicking anything, even when they know the sender.
So we talked about moving to a branded domain so the links would read as ours, not as some anonymous tracking service. We talked about sending from a proper address instead of a generic "noreply." We talked about putting together a one-page whitelist guide so the client's IT team had everything needed to keep our emails out of spam folders.
None of it is glamorous work. None of it will ever raise $110 billion in a single round. But every one of these small decisions served one goal: getting a person to trust an email enough to click it, answer honestly, and believe their answers would go somewhere meaningful.
My Version of Scale
I'm not against AI, and I'm not pretending my tool competes with what OpenAI builds. Such a claim would be ridiculous. What I'm pushing back on is the idea of bigger being automatically better, and the only companies worth watching being the ones chasing trillion-dollar valuations.

There's a version of scale with nothing to do with headcount or funding rounds. It's the twelve people who got unstuck within the hour instead of giving up and closing the tab. It's the manager who reads a BAT report and finally understands why their best engineer keeps threatening to quit. It's a tool feeling less like a product and more like someone paying attention.
You don't get this kind of trust by throwing more GPUs at a problem. You get it by fixing the bug at midnight because you know real people are on the other end of it, waiting.
The Real Work Is Invisible
Here's what nobody tells you about building something small and human-centered: most of the effort goes into things your customers will never notice, because you did them well enough there was nothing left to notice.
A branded link not looking like spam. A sender address not screaming "automated system." A bug fixed in twenty minutes instead of two days. Individually, none of these are impressive. Collectively, they're the difference between a tool people use and one they quietly stop opening.
I used to think impact meant reach. The more people you touch, the more you matter. I don't believe it anymore. I've watched founders chase scale for its own sake and end up with a product nobody trusts, because trust doesn't scale the way infrastructure does. You add more servers overnight. You don't add more trust overnight. It gets built one honest interaction at a time, and destroyed the same way, one bad experience at a time.

The Same Choice Shows Up in Your Career
I see the same pattern outside business, in how people think about their own careers.
Most career advice pushes you toward the bigger number. Bigger title, bigger team, bigger salary, bigger name on your badge. Nobody hands out advice sounding like "stay small and get excellent at something twelve people will notice." It doesn't sound ambitious enough to say out loud.
But I've spent years studying bad bosses, and one figure sticks with me. In my own research, 99.5% of survey respondents said they'd worked for one or more bad bosses. Almost everyone. And in nearly every story people told me, the bad boss wasn't chasing depth. They were chasing scale, a bigger team, a bigger budget, a promotion, without doing the unglamorous work of earning trust from the people already reporting to them.
The leaders I've admired most did the opposite. They stayed close enough to notice when someone on their team was stuck, and they fixed it before it became a resignation letter. They weren't always the ones with the biggest title in the room. They were the ones people trusted enough to follow into a harder conversation.
It's the career version of what I'm doing with this tool. Depth over reach. Trust over headcount. The instinct to notice twelve people struggling, rather than waiting for a report to tell you a thousand people churned.
Why I'm Not Chasing the Big Number
I'm not building a small tool for lack of ambition. I'm building it small because depth beats scale for this kind of problem. Helping a manager understand their team, or helping an employee feel heard by a survey they believe in, isn't a problem solved by getting bigger. It's solved by staying close enough to the work to notice when twelve people are stuck, and caring enough to fix it before breakfast.
Things might change one day. The tool might grow past the point where I personally know what's breaking at midnight. But right now, being small isn't a limitation I'm working around. It's the whole point.
If you're building something right now, in whatever field you're in, ask yourself honestly: are you chasing a bigger number, or are you chasing something a smaller number of people would trust? These aren't always the same question, and I'd argue the second one is harder to answer honestly.
I know which one I'm choosing. What about you?
























































































































































































































































































































































