In the AI era, many teams excel in technology but struggle with achieving product-market fit, often overlooking what users truly want.

In the early stages, companies often fail to find product market fit, which can derail their success.

Many startups are focusing on selling tools for AI applications, but the reality is that many potential customers are still figuring out how to effectively use AI, leading to a disconnect between product offerings and actual market needs.

To build a successful AI startup, founders must engage deeply with real-world problems and understand the needs of their target market.

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.

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

Startups should begin with the best AI model available to ensure success, as leveraging cutting-edge technology is essential for gaining a competitive edge in the market.

It's crucial for startups to think harder about achieving product-market fit and to be honest about whether they have it, especially in uncertain economic times.

Finding product-market fit is challenging; it's essential to trust data and understand customer needs rather than relying solely on your excitement about the product.