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SaaS Interviews with CEOs, Startups, Founders

Bootstrapper hits $5m ARR using $2m in debt, keeps all his equity

SaaS Interviews with CEOs, Startups, Founders

Nathan Latka

Ceo, Entrepreneurs, Founders, Software, Business, Entrepreneurship, Saas, Startups

4.6683 Ratings

🗓️ 25 November 2022

⏱️ 20 minutes

🧾️ Download transcript

Summary

Routing, mapping, and gathering data from the field for Field Sales Teams.

Transcript

Click on a timestamp to play from that location

0:00.0

You are listening to conversations with Nathan Latka, where I sit down and interview the top SaaS founders, like Eric Wan from Zoom.

0:13.6

If you'd like to subscribe, go to getlatka.com. We've published thousands of these interviews,

0:19.5

and if you want to sort through them quickly by

0:21.8

revenue or churn, cack, valuation, or other metrics, the easiest way to do that is to go to

0:27.4

gitlatka.com and use our filtering tool. It's like a big Excel sheet for all of these

0:31.9

podcast interviews. Check it out right now at gitlatka.com.

0:38.4

Badgermapping.com launched in 2013.

0:40.3

They're doing about a $5 million run rate today up from $4.2 million exactly one year ago,

0:44.1

serving 4,200 logos over 7,500 paid seats at about $50 a seat.

0:47.9

They help your field reps deliver the tires on time, take the beer to the local pub on time,

0:52.2

and also do it in a route that is most efficient.

0:54.4

They should have died during COVID. They didn't. They just pivoted. They did very well. Now they're

0:57.8

growing all bootstrapped, which we love. He's using debt, full disclosure from founder path,

1:01.6

which we love. Hey, folks, my guest today is Steve Benson. He's building a great tool called

1:06.9

Badger, like the Animal Mapping.com. It's routing, mapping, and gathering data from the field for field sales team.

1:13.5

Steve, you ready to take us to the top?

1:15.2

Let's do it.

1:16.4

Now, I hope you did it as a compliment, but like, I look at your business and I go,

1:19.5

this company should have died during COVID, but you didn't somehow.

1:23.5

Right, no one's going knocking on doors during COVID.

1:25.8

Everyone's locked up.

1:26.8

Why didn't you die?

...

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