I tested 3 popular AI startup ideas. Here's what happened.
While improving my startup validation tool, I tested three very common AI startup ideas.
The results surprised me.
- AI Resume Builder
Verdict: KILL
Why?
- Extremely crowded market
- Weak switching incentives
- Easy to replace with ChatGPT
- Difficult distribution
- AI Cold Email Generator
Verdict: MAYBE
Why?
- Clear business value
- Companies already spend money in this category
- But competition is brutal
- Distribution is still hard
- AI Tool for Dentists to Get More Google Reviews
Verdict: MAYBE
Why?
- Clear customer
- Clear business outcome
- Easier ROI story
- But still difficult to acquire first customers
The biggest lesson:
Most founders spend too much time thinking about features.
The real questions are:
- Who pays?
- Why do they pay?
- Where do the first 10 customers come from?
- Can you reach them without ads?
Building is getting easier.
Distribution is not.
In fact, getting the first customer is often harder than building the product itself.
What AI startup category do you think is the most overhyped right now?
what I got from your 3 product tests is the early stage is rough.
I’m a beginner indie dev too, still figuring out the direction. It’s painful and takes patience + execution.
A lot of people build first, then panic when no one uses it. I’m trying to research real user demand first, just to see if this is worth building and if I’m going off track.
I completely agree.
The more ideas I test, the more I realize that building is often the easy part. Finding real demand and getting the first users is where most of the difficulty comes from.
Good luck with your journey as well. I'm still figuring things out too.
The dentist example is the most interesting one here — not because of the idea itself, but because of what it reveals. Narrow vertical + clear outcome + offline customer = you can actually get in a car and close the first 10. That's a distribution strategy, not a hope.
The resume builder verdict is right but for a reason worth naming: it's not just crowded, it's a one-time-use product for most people. No retention, no expansion revenue, and the job is done the moment someone gets hired. That's a hard business even without competition.
To your question — most overhyped category right now is probably AI agents for general productivity. Everyone's building the "do everything for you" assistant and nobody's figured out that users don't want an agent, they want a specific annoying task to disappear. The more abstract the use case, the harder the sell.
The real opportunity is still in boring verticals where the incumbent software is ugly, the customers are not technical, and nobody from YC wants to fly out and sell to them.
That's a great point.
The dentist example became interesting to me for exactly that reason. I could actually imagine how the first 10 customers might be reached.
The more ideas I evaluate, the more I think distribution is often a stronger predictor of success than product complexity.
AI Resume Builder
Interesting.
The thing I'd be careful with is that startup ideas can fail for very different reasons, but a validation tool can end up labeling them the same way.
The risk isn't making the wrong verdict.
The risk is becoming confident about the wrong decision.
That sounds subtle, but it tends to matter more as the tool becomes more opinionated.
That's a great point.
One thing I'm trying to remind myself is that the tool isn't really judging ideas—it's highlighting risks that founders might overlook.
A "KILL" verdict doesn't mean an idea can't work. It usually means I couldn't see a clear path to customers, distribution, or monetization based on the information available.
I agree that becoming overconfident in a verdict is probably more dangerous than getting the verdict wrong.
That distinction is important.
Once a tool starts shaping decisions instead of just highlighting uncertainty, the responsibility shifts from the user to the framing itself.