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I started Flidget after realizing my SaaS users were disappearing before I ever saw a warning

DEV Community·Riya Sharma·6 months ago
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#analytics#saas#showdev#startup#churn
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A few months ago I was reviewing my SaaS metrics and everything looked normal on the surface

Retention was stable churn was not alarming usage charts looked fine

But revenue was still not growing the way it should have been

That contradiction stayed in my head

So I started looking deeper

What I realized was uncomfortable

Users were not really leaving in a clear moment

There was no sudden drop no obvious exit point

They were slowly disconnecting from the product without saying anything

No feedback no complaints just silence

And I only understood this after they were already gone

That made me question something important

Most analytics tools show you when someone leaves but they do not show you when the decision to leave actually happens

There is a gap between behavior and intent and that is where most churn lives

So I started building Flidget

The idea is simple

Instead of only reacting after churn happens Flidget focuses on two things

First it detects early signs of disengagement so you can…

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