The question we hear most from readers of our AI startup coverage is some version of: how do you decide which startups are actually worth covering, given how many AI startups exist and how much promotional material each one generates?
Why this question is legitimate
The sheer volume of AI startup activity means we cover a small fraction of what exists, and readers reasonably want to understand the selection logic rather than assume it's arbitrary or driven purely by whichever startup pitched us most recently.
Our actual selection criteria
We prioritize startups with a specific, verifiable signal of traction - a notable funding round from a credible investor, a customer relationship we can confirm independently, or a technical claim we can verify rather than simply repeat - over startups whose primary qualification is an active PR campaign.
Why we don't claim this makes our coverage comprehensive
This selection approach means we miss startups that are genuinely interesting but haven't yet generated an externally verifiable signal, and we're honest that our coverage is a curated sample rather than a comprehensive map of the startup landscape.
Why we think this tradeoff is the right one
We'd rather cover a smaller number of startups with real, checkable signal than a larger number based primarily on how effectively they've pitched us, even though the latter would let us claim broader coverage.