Most GTM leaders today are making decisions on partial information.

Not because they lack data.
But because the data underneath their GTM motions — direct, partner, channel — isn’t complete or comparable enough to trust.

Over the past few years, I’ve worked closely with hundreds of GTM and ecosystem teams and seen the same pattern repeat: smart, experienced leaders forced to operate with blind spots they didn’t design and can’t clearly see.

At Zugit, we’re building a way to surface where GTM data is incomplete before insights are acted on — so leaders can make decisions with confidence, not assumptions.

The companies that get this right move faster, invest more precisely, and waste far less effort.

Curious how much of your GTM picture you actually see today?

I went to visit my 89-year-old grandfather in rehab today — and we ended up building a product together.

He’s mentally sharp and physically working hard every day to get back to life.
But between physio sessions, rehab comes with a lot of empty hours.

I used to be a medical clown. 
Today I’m building an AI company that helps enterprise leaders make their toughest GTM decisions.

That combination makes it very hard to sit in front of a broken experience and do nothing.

So we talked.
What helps. What feels patronising. What actually makes time pass.
I opened my laptop — and within about 30–40 minutes, we had the first version of an app built together.

The app uses AI to understand his mood, adapt how it speaks to him, suggest things that fit the moment (talking, remembering, quiet), help him message family via WhatsApp or email, and even gives us, his family, a simple view of how his day was before we visit.

It’s not medical. It’s not therapy.
It’s just something personal you can turn on.

He’s the first user — and the toughest critic.

If you have an older parent or grandparent in rehab, or you’re curious to try this and help shape it, comment here and I’ll send you the link. I’d genuinely love the feedback.

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kurogo1

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