What if I told you that you can make a functional product in just a weekend, instead of six months? Only a year ago, this sentence would have sounded like a fantasy. Today, it is a reality.
AI has changed everything that we knew about product development, and startups that don’t understand that are already being left behind. This article is not about technology; it is about a new era and a paradigm change.
In the early 2000’s product development in startups resembled work in large corporations. Any idea would evolve into extensive documentation; then a team of developers would be hired, and only months later a product would launch that the users didn’t want or understand. The money would have already been spent, and the team would have lost any further hope.
From these failures, the Lean Startup approach arose. Eric Ries popularized the idea that before you sink months or years into development, you should test basic hypotheses. Minimum Viable Product (MVP) became a symbol of that philosophy.
Dropbox, for example, has shown its own first MVP with a short video, and thousands of waiting list applications were enough proof that their idea will find its market. Through that, Lean has introduced a revolution. Development has accelerated, education has become cheaper, and risks have become lower. Startups stopped depending on hypotheses and started learning through real user behavior.
End of the old and start of a new era
For years, the most expensive thing - engineers’ time - is now becoming almost free thanks to AI. With tools like ChatGPT, Cursor, or Reptile, an entrepreneur can, on their own, generate code, design, and content, and in only a couple of hours create a functional prototype. Paradoxically, while you’re still validating your idea through interviews and prototypes, your competitor, using AI, already has an app on the market. The new luxury isn’t development anymore; it's user attention. And that brings us to the new rules of the game. Lean taught us: “Don’t make a product before knowing who it’s for.” AI era teaches us: “Make it now, put it out and watch what happens.” If constructing the product has become trivial, the real value now lies in distribution and learning through actual use. Marketing and distribution are becoming key disciplines. In a world where every day brings hundreds of apps, user attention is the new currency.
It’s no longer enough to just have a good product; now you need to know how to promote it, find early users, and test it across various channels. This means that both founders and teams must master at least the basics of growth marketing, SEO, performance campaigns, and go-to-market strategies. Holding on to users involves even more. Today people don’t want only functionality but also a reason to return.
Enter community building. The community not only spreads the product but also provides constant return information, new ideas and a sense of belonging, which in the long term keeps users close to the brand. Quick experiments in real time are equally important. Focus groups and surveys cannot keep pace with current development. The most successful teams make decisions based on A/B tests, real-use analysis, cohort analysis, and return data they get from onboarding, user support, or short interviews.
In that environment, the product manager becomes a key figure. In a world where functionalities can be developed in a day or two, the value is comes through quick and smart decisions. The PM is no longer just a sprint coordinator but a person who daily connects data, user insights, development opportunities, and business strategy. They test, measure, and change direction in almost real time.
All this also changes the team structure. While previously a single PM could lead seven engineers, today that relationship is moving more towards 1:2 or even 1:1. The reason for this is that engineer production has hastened and is partly automated, while at the same time the decision of what to do next has become crucial for product survival. That’s why product managers, analysts, growth experts and designers are taking over the main roles in shaping the product.
Speed as a starting point, and where that leads us AI hasn’t put an end to Lean, but it has made it quicker and more merciless. Principles like “learn fast, risk smart and develop iteratively” still hold true, but they mean: put out a product, pay attention to user behavior and immediately change direction. Problems occur when validation becomes slower than the development. While you’re writing interviews and analyzing results, your competitors with AI already have a product in the market.
In a world where tens of thousands of new apps appear every month, user attention is the new currency. The question isn’t whether you can make an MVP in 48 hours anymore. The question is can you afford not to try? Because in this new reality the winners aren’t the ones with large budgets, but the ones that quickly learn with real users.
P.S. If you’ve reached the end of the article, you're already in the top 5% who will really try something new. The rest will be satisfied with reading “just another article.”
