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shemith mohanan
shemith mohanan

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Why my AI SaaS got users — but not activation

I recently launched an AI-based SaaS and finally saw real traffic coming in.

Roughly ~160 users showed up after an early outreach push.

At first, I felt relieved.
Traffic meant validation… right?

Not exactly.

The problem wasn’t traffic

Most users didn’t activate in any meaningful way.

They signed up.
They looked around.
They left.

My first assumptions were predictable:

Maybe the traffic quality was poor

Maybe they weren’t my ideal users

Maybe they didn’t need the product yet

But after stepping back and watching behavior, the real issue was uncomfortable — and obvious.

I optimized for features, not understanding

From my perspective, the product was powerful.

It could:

generate SEO content

create AEO-style FAQs

support local / GEO use cases

But from a new user’s perspective, it was too much, too fast.

They had to think before they could act.

And if a user has to think in the first 30 seconds, they usually don’t.

The mistake I made post-launch

I assumed users would explore.

I assumed they would connect the dots.

I assumed “AI-powered” was self-explanatory.

None of that was true.

What I failed to provide was:

a clear first action

a quick, visible win

a reason to continue

What I’m changing now

Instead of adding features, I’m refocusing on:

one primary use case

one onboarding path

one “aha” moment

The goal is simple:
make the value obvious before the user has to decide.

If they win once, they explore more.

A question for other founders

If you’ve launched a SaaS already:

What single change improved activation the most for you — onboarding, copy, or narrowing the use case?

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