Founders, what's going on? You guys know I love in-person events and they are back. The recording

you're about to hear is from our most recent event where we had hundreds of founders come together,

share intimate details, templates, KPIs, OKRs about their business and it was something special,

something special. We'd love to meet you in person. If you want to see the next live events we have coming up via our schedule,

the link will be down below in the description. If you're listening on iTunes, check this out on

YouTube. You'll see the links in the description. Or you can just Google Founder Path or Latka

next event. We'd love to see you in person. In the meantime, though, enjoy this recording.

It's a good one.

You are listening to Conversations with Nathan Latka, where I sit down and interview the top

SaaS founders, like Eric Wan from Zoom. If you'd like to subscribe, go to getlatka.com.

We've published thousands of these interviews, and if you want to sort through them quickly by revenue or churn, KAC, valuation, or other metrics, the easiest way to do that is to go to getlatka.com and use our filtering tool.

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So I'm going to make this really quick because yesterday it was awesome.

I'm not going to teach you anything that John didn't teach you, Goddard, you know, Nathan or anything.

So what I can do, I can share just our story.

What we did wrong, what we did good, and just like, yeah, talk, learn, share, right?

That's why we are here.

Okay, so let me figure out how this works. Okay, like this. Okay, so everybody here has been talking about data, right? That's great. We love that. We love that. Data is everywhere. That's why we exist.

We exist, you know, companies like you, enterprises, small, you know, SaaS companies to actually help with data.

But data ecosystem has been like really hard for the last couple of years.

When Snowflake started, they actually solved all of the big data issues, you know.

No more Hadoum wrangling. But there's like 20 different tools you need to use to process data into Snowflake and out of Snowflake.

...