Kipt - Onboarding that reacts in real-time when SaaS users are about to give up

For the first five years of my first SaaS, my onboarding strategy was practically nonexistent. The dashboard was an empty state, and the only guidance a new user received was a generic welcome email pointing to our documentation.

Eventually, I built a standard checklist anchored to the top of the screen. Churn improved a little bit, but I was still flying completely blind. By the time a user showed up in my metrics as churned, they were already long gone.

After answering 15 years of support tickets, a painful truth clicked for me: the users who get stuck during onboarding don’t ask for help. They just leave.

Timing is everything in activation. If you aren't there to help a user the exact moment they stumble, you might lose them forever.

That is why I am building Kipt.

It will be a visual onboarding flow builder with a critical difference: it will give your onboarding a pulse. In addition to displaying static elements, Kipt will monitor real-time user behavior—like sudden inactivity, abandoned input fields, or exit intent. When a stall signal triggers, Kipt will automatically step in with an intelligent, context-aware nudge or re-engagement email to rescue the signup right when it matters most.

I have officially opened up the early-access waitlist, and I’m going to be building this entirely in public with a new update every week.

I just published the backstory of my first SaaS, and how 15 years of support shaped this philosophy. You can read the full first post on my blog here:

👉 kipt.ai/blog

I'd love to know: How do you currently track if someone stalls out during your app's signup flow? Let's chat in the comments!