Chapter 1: What is the main topic discussed in this episode?
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.
Chapter 2: How do in-person events benefit founders?
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, CAC, valuation, or other metrics, the easiest way to do that is to go to getlatka.com and use our filtering tool. It's like a big Excel sheet for all of these podcast interviews. Check it out right now at getlatka.com.
So I'm going to make this really quick because like yesterday 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 where we, 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? Nathan is showing you, like, all the data points, right? And then we saw G-Tube. Data, data, data. 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 companies, you know, SaaS companies to actually help with data.
But data ecosystem has been like really hard for last couple of years. When Snowflake started, they actually solved all of the big data issues, you know, no more Hadoop wrangling. But there's like 20 different tools you need to use to process data into Snowflake and out of Snowflake. And it only starts with getting data in.
So what we did, we actually, oh, by the way, see G2, you know, we have the stars on G2 as well. We love G2, right? So what we did, we actually, you know, like put it all together into end-to-end platform. So you don't have to have, you know, 20 different tools. You have one login. You can get data in. You can get all the connectors. We have the biggest marketplace in our space.
We have 1,400 applications in our marketplace developed by 400 different developers. You can actually, you know, create automations to power your data once it's in Snowflake to actually run it somewhere, put it in your Salesforce, you know, and just like have it where you want to have it, right? And, last but not least, you have the data science part.
Because a lot of people, you know, like, you get the data in, you look at it like Nathan did, right? Perfect. But underneath that, there is a lot of machine learning models. And you need to have all of those parts, three parts, working together. So, yeah, that's what we did. And in this part, you know, like, Actually, people who started data are geeks, right? They are nerds.
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