Why we build more

For years, startups and their investors played by different rules.

Startups picked a single idea and focused on it relentlessly. Building software was expensive. Every additional product required more engineers, more capital, more coordination, and more time. Trying to build multiple products meant doing all of them badly. Multiple bets did not increase a startup’s odds. They weakened every one of them.

Venture capital did the opposite. Investors spread their bets across many startups, knowing that most would fail and a few breakout winners could carry the portfolio.

The startup concentrated. The investor diversified. Both strategies made sense.

AI changes the economics

Small teams can now build, launch, and operate products faster, with fewer people, and at a fraction of the cost.

AI does not make each bet safer. It makes more bets affordable.

That reverses the old equation. What once worked at the investment level can now work at the product level. A company can build a portfolio of independent products, giving itself more chances to find a winner.

Under these economics, betting the entire company on a single unproven idea is not disciplined focus. It is a single point of failure.

Focus follows evidence

Building more does not mean scaling everything. It means giving more ideas the chance to earn focus.

Every product starts small. We launch it, expose it to reality, and look for real pull. Products that fail to earn attention are killed. Those that show promise get more time. Those that show exceptional pull earn concentrated investment.

We have not abandoned focus. We have changed when we apply it. Traditional startups focus first and learn later. We learn first, then focus.