Vibe coding: launching quickly is no longer enough

Vibe coding has normalized something that was previously scarce: turning an idea into a functional product with very little friction. That’s good, but it also means that it is no longer an advantage. If you can launch an MVP in hours, the person next to you can too. And when building stops being the bottleneck, the game changes.

Instead of treating the product as the center of the universe, it makes more sense to treat the company as a learning machine: you use speed to run more experiments, use distribution to give those experiments traffic, and use public learning to feed the system back. It’s not more features. It’s more attempts that really teach you something.

When building is cheap, differentiation lies in distribution

For years, many startups won because they could build faster. Today, building is much more accessible. This shifts the advantage to something less glamorous, but more real: access to people.

Distribution is not doing marketing in the abstract. It’s having a channel, or the ability to create one, where your audience shows up and where you can appear with consistency. In vibe coding, this becomes more evident because the product, the interface, and even part of the positioning can be copied quickly. What is costly to copy is the accumulated trust, the context, the shared language with a community, or the fact that your product lives within an existing workflow.

That’s why it now makes sense for founders and product leaders to think more like media operators. Not for ego, but because if the market is filled with similar products, distribution goes from being an afterthought to being part of the business design from day one.

Validating is no longer about pleasing: it’s about generating repeating signals

This is where I see a lot of people getting confused with vibe coding. They build something that looks real, test it with five people, get positive feedback and conclude that they’ve validated. But validating is not getting smiles. Validating is getting behavior.

The signals that matter are often uncomfortable because they require repetition. For someone to come back. For someone to use it without you being around. For someone to incorporate it into their routine. For someone to pay, and above all, to pay again or stick around long enough for it to make sense. If you stay only in the initial excitement, you might end up with revenues that come from curiosity, novelty, or FOMO, without that meaning you have solved a persistent problem.

Vibe coding helps when you use it for what it’s truly meant for: shortening the time between hypothesis and real test. It allows you to put something functional in front of users sooner, instrument it, and see if it holds when the novelty wears off. But it doesn’t exempt you from doing the hard part, which is choosing wisely what hypothesis you are testing and what signal you will consider sufficient to raise the level of investment.

The new advantage is a machine for experiments (and learning in public is part of the engine)

Many people call speed to getting versions out. But the speed that matters is the one that turns into weekly learning. If at the end of the week you can only say we built, you’re behind. What you want to be able to say is we learned X, because we saw Y, and that leads us to Z.

In a market where competitors can copy quickly, a one-time launch loses weight and gains repetition. Repetition creates familiarity. Familiarity reduces friction. Lower friction allows you to test more messages, more hooks, and more approaches with more people, and that gives you better data back.

This fits very well with learning in public, but understood practically. It’s not about sharing for the sake of sharing. It’s about turning the process into a channel of distribution and, at the same time, a mechanism for feedback. You show imperfect demos, explain what hypothesis you’re testing, clarify what failed, and observe which parts of the story make people respond. That exchange helps you navigate the maze of ideas, because it gives you clues about which paths have real energy and which were just noise.

Vibe coding, in the end, doesn’t gift you a business. It takes away excuses. If you can build quickly, the market standard rises, and your job becomes designing a system that turns speed into learning, and learning into something that people use when no one is watching.