For us, it's the same idea. We want to make experiments. Every experiment is an iteration. So that's a very important concept for you to understand. Because that's the main reason why most startups are successful, whereas others are not.
When you are trying to innovate in a life cycle of a product, you're going to start with a paper and draw your idea to it and put it in front of people. And you're going to start asking about how does it feel. However, if you start with paper, you're probably not going to get a lot of great feedback. You're going to get some level feedback that will be useful, but it's not the reality. You can go through other phases like trying to go wireframes, low fidelity, high fidelity, fully functional or building the product, right? But until there, until you don't get to the product, you're not going to get the highest level feedback.
When you build the product, you put it in front of people, that is when you understand what's going on, but it's very painful, especially the first situation because that's when you get punched in the face. That's when you fail. Especially the first time. You're building something that is new, right? That you think is going to solve everything and it's not, right? And that's fine. But until you are there, you're not going to get the highest level feedback. And the second question you want to ask yourself in the life cycle of any product is, how fast can you get there? Drawing something in paper, very, very fast. You can do it right now. It takes a few seconds, minutes of your time, but building the product takes the longest.
So if we put this into perspective, how fast and how accurate are our assumptions depending on the life cycle of any product? You know that product takes the longest, but we want to also get there. And if you think about the size of the company, the product takes the longest, especially if you're in a big company. And that's a very important concept to understand. That's why most companies, when they are big, they have a hard time to innovate something new. If you look at Google in the last 10 years, we barely have seen any innovative products. However, they spent billions into AI. And a small company like OpenAI comes to play and creates just GPT. Think about that. That's the main reason why small teams can innovate way better than bigger companies. However, they have a much more limited resources, much more limited budget. But there's a very interesting concept for you to understand because at the end of the day, that's how the world operates. So, now, we, as developers, usually, most of the time, we're just building the product.
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