We had four different iterations of our product from 2011 to 2014, and while we didn't pivot, we iterated based on our learnings to find product-market fit.

Finding product-market fit is the single most important thing that your startup does in the first three years, yet it's often underexplored and underexplained.

The key to achieving product-market fit is to continue iterating until you find something that resonates with users, rather than relying solely on metrics like signups.

We finally built products for our users after a long period of trial and error, which felt like we were bumbling around in the dark before finding our way. Achieving product-market fit feels like navigating through obstacles until you find the right path to success.

In today's fast-paced market, achieving product-market fit is a continuous process, requiring founders to think like entrepreneurs and adapt every six months.

We aim to create sustainable businesses from our AI projects, focusing on finding product-market fit and scalability.

When we found product-market fit, the questions from customers shifted from general interest to specifics about pricing and purchasing, indicating a strong desire to move forward with us.

To find product-market fit, you can measure it, optimize it, and even have an algorithm write your roadmap to ensure it increases.

The brutally honest feedback we received from Y Combinator helped us understand that we weren't at a point where we could credibly claim product market fit.