I started this project after noticing that most discussions around AI startup ideas focus on what’s technically impressive, not what’s economically viable.

But when you look at AI SaaS companies that quietly grow, a different pattern shows up.

They automate boring, repetitive work people already complain about reviews, ops, support, reporting tasks that were previously too expensive or fragile to fully replace with software.

AI changes that equation. It makes certain ideas viable not because they’re new, but because the cost and reliability finally make sense.

While digging through forums, founder communities, and public discussions, I began collecting these recurring pain points.

Over time, that became startupideasdb:com (google it) a way to surface AI startup ideas grounded in real frustration rather than trend cycles.

Sharing this here to learn from the community. What “obvious” problem do you think will quietly turn into a big AI business?