Why Attachment to Your Systems is Killing Your Growth with Austin Reed, Digital Nomad & Founder of Horizon Development

In this episode of Exploring Growth, host Lee Murray talks with Austin Reed, Digital Nomad and Founder of Horizon Development. Austin shares how AI can automate business processes to boost efficiency. They discuss the impact of AI on customer service and highlight tools for DIY automation. Austin also reflects on his digital nomad lifestyle, emphasizing minimalism and adaptability. The episode explores the importance of streamlining operations and embracing technology for business growth.

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Lee - https://www.linkedin.com/in/leehmurray
Austin - https://www.linkedin.com/in/automationsexpert/

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A lot of people are like, oh,

let's hire a guy who's an expert

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at x, x, y, z thing, right? Okay.

I always try to think, now, how could

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we use code or AI to augment that?

One really good example.

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You could take all of your

customer service transcripts,

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throw them in an AI and train it to

do customer service chat based stuff.

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Now I'm not talking about like the,

uh, the typical one that doesn't

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quite respond like you want it to,

but to actually give relevant

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responses based on the person and

actually solve the problem and reduce

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your customer service time by like,

you know, 50% or more,

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just because you have that in place

as the first step before they

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actually reach a human. All right.

Welcome back to Exploring Growth.

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Today's episode should be an

interesting one.

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Um, I was introduced to Austin Reed,

a seasoned digital nomad and

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founder of Horizon Development LLC.

Austin has a ton of experience

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traveling across 26 countries

and running a software

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development agency,

which in which he helps companies

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with automating business processes.

And so when I heard that,

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I thought immediately,

I would love to pick his brain

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about cutting the fat in in an

organization just because I know,

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you know, running a company has

its own trials of, you know,

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trying to run lean and run efficient.

But then if you're doing it as a

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digital nomad, like your default DNA

is going to be a little different

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how you approach running a company.

So I think that if CEOs had a chance

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to talk to someone like Austin,

who's had their whole lifestyle

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based on being efficient,

I think they could learn a lot.

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So welcome to the show, Austin.

Hey, thanks for having me, man.

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I really appreciate it. Yeah.

So, you know, before we jump into

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this, tell us a little bit more

about yourself and what kind of

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work you do with companies.

Yeah. My name is Austin Reed.

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Um, I started off as a developer,

and then that kind of transformed

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into a company by accident.

Um, but, uh, but, yeah, I mean,

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we we work on automating companies.

We help them optimizing their

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processes.

We'll take a company, we'll will

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kind of review what it is they do.

We'll try to cut the fat.

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Our prefaces is if we can save

like a team of like 20 people,

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everyone on the team like 1 or 2

hours a day, every day.

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That's a huge cost savings for a

company and that's a huge win for us.

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So that's that's our main goal.

Yeah. I love it.

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So business automating business

processes is kind of your focus

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as I understand it.

Tell me,

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like what I want our audience to

do is to get to kind of glean some

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practical wisdom from someone who

just naturally thinks this way,

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which a lot of business owners,

they're putting out fires right

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there, just constantly, you know,

their inbox is filled with fires

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put out every, every day.

So I totally am empathetic with,

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uh, business owner CEOs that,

um, are trying to get to saving

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costs or get to making money.

But a lot of times they're just,

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you know, firefighting.

What's your mindset when it

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comes to being efficient or

automating processes?

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Well, the first thing is I

always try to default code.

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So like a lot of people are like,

oh, let's hire a guy who's an

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expert at x, x, y, z thing, right?

I always try to think, nah, how could

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we use code or AI to augment that?

One really good example.

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You can take all of your

customer service transcripts,

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throw them in an AI and train it to

do customer service chat based stuff.

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Now I'm not talking about like the,

uh, the typical one that doesn't

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quite respond like you want it to,

but to actually give relevant

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responses based on the person and

actually solve the problem and reduce

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your customer service time by like,

you know, 50% or more,

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just because you have that in

place as the first step before

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they actually reach a human.

So things like that really add a

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lot of value in a, in a,

and it's really kind of simple to do

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honestly. Um, so. Simple for you.

Well that's what you do, right? Yeah.

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Yeah, yeah I guess you could say

it that way, but um, but I mean,

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all these companies that they

probably have all their,

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you know, stuff, like all their

transcripts just sitting around

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an and email or something.

All they have to do is copy paste

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that and put that in the AI and bam,

like, that's, that's already

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right off the bat, huge savings.

But that can scale across different

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departments like sales teams.

You can scale it up to and like AI

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personalization instead of manually

writing out a bunch of emails,

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you can.

I have I write emails,

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but to do it well, though,

that's a lot more difficult.

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Yes, we can dive into that if

you want, but there's a couple

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examples for you okay. Yeah.

So let's let's stick on the

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customer service thing because I

agree with you.

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I think that being a consumer,

you know like I, I have clients,

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then I will interface with some

platforms for them or my team will.

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And we have to sit on chat and

talk to these AI bots or, or,

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you know, people that are in India

who can't speak the language and

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like there's a lot of like stuff

that's been automated, that's been

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bad for the brand and for their

for their customer service. Yeah.

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So it kind of break it down a

little bit more like what are

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some examples of that.

You've seen it work and, and what

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would be kind of like the first steps

of setting something like that up.

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Well, without mentioning any names,

uh, we have a client in the

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aerospace industry,

and their customer service is.

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It's kind of a mess, right? Um, okay.

They get a lot of questions from

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a lot of people when it comes to

valuations about aircraft and

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stuff like that.

So what we're doing with them is

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we're taking all their emails

over the last five years,

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and we're feeding that into an AI to

give the same type of responses.

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It works well because the data

that we're feeding the AI is

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really good data.

Now, if all your customer service

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responses was people from India

who don't really know how to

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speak English, well, then I'd be

training an AI to be kind of stupid.

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So yeah, yeah it doesn't.

It would never work out like that,

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right?

So I mean, you have to have good

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data coming in because if you

don't have good data,

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good questions and a lot of it,

then it's not going to work.

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If you only have like a couple months

worth of customer service data and

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you don't have a lot of volume,

then it's probably not going to

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work out very much for you either,

because you have enough data to

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train the AI in the first place,

because the deal is we want it

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to make it feel human.

We want it to to make sure that

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it actually solves the problem

instead of giving some generic

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response like a lot of these AIS do.

Um, and, and the trick to do that is

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being very creative with your prompt

chaining with link chain and stuff.

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More technical terms, um,

and having very,

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very good data from the beginning.

Yeah, that makes a lot of sense.

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And I think the first step to doing

well with AI, as we're kind of

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running out of the gate with all

the AI stuff coming on for everyone

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trying to use it is good data.

So if you're talking to a company

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that doesn't have a lot of these

emails saved or they can't access,

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you know, any of the data that

they had before, then what kind

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of step would you tell them to

take to start getting good data?

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Would it be just through the like

the email interactions with, uh,

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customer support tickets?

Um, or what would that look like?

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Well, first of all,

any documents that they have around

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the service itself, any FAQs or

educational documents that they have,

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any videos that they have, they can

grab the transcripts of those videos

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and feed those into AI as well.

Um, outside of that, yeah,

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just start recording it,

but make sure that the data that

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you're recording is high quality.

So pay a little bit extra for a more

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knowledgeable, better speaking,

English speaking customer service.

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Don't go the cheap route and

outsource to the Philippines or

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India or whatever.

Uh, when it comes to that, because

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looking at the end goal in mind,

eventually you're going to be able

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to pivot away from that if you

have the proper data in place.

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And then the other thing I would say

is just maybe go across all your

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clients and ask them like, hey, what

are the top three questions that you

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had when you were coming into this?

Figure out what those are, right?

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Really, really good responses to

those questions and use that also as

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data points for the AI. Okay. Yeah.

So building up a new base of

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FAQs to feed into there.

Um, and I think that's also good

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multi-use of time to to have touch

points with old clients or even

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current clients and, you know, maybe

a chance to, to sell through some

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new new products or services too.

So if you're talking AI, what are

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some of your tools that you go to?

Um, you know, I think a lot of,

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um, companies are just trying to

figure this out, right?

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So they need people like you to come

in and help them understand, like,

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how do I DIY this or or what does it

look like for a company for you to

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come in and do it for us? Right.

So the DIY solution is probably

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something like Macomb,

which is an automation service,

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kind of like Zapier.

Okay, a lot better or an eight in

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if you're slightly more technical

and it it is the better solution

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of the two, But you need to have

a little bit more, you know,

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technical knowledge for that.

And then pairing that with I

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mean the simple one is ChatGPT.

However, Claudia is doing a lot

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of really good stuff.

Uh, their English comes out a lot

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more human than the ChatGPT does,

or using mixture which is

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slightly more advanced.

That's um,

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you can download Facebook's O llamas,

um, AI or a mixture tool AI and

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train it yourself.

That would be the slightly more

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advanced DIY version of this. Okay.

Uh, and I'll be posting tutorials

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about this if anybody wants to go

check it out for sure. My YouTube.

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But um, but yeah, I would say,

I would say that the simplest,

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easiest way for DIY is make

paired with ChatGPT.

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That's your DIY solution right there.

Okay.

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Um, when it comes to having us

jump in, uh, we don't use, like,

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we use an Aiden internally to test

ideas really quickly and stuff.

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Uh, but we don't use those

solutions for our clients.

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We actually code their own systems

and their interfaces and dashboards,

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because we find that a lot of our

clients there that are using, uh,

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you know, Salesforce and QuickBooks

and this and that and the other

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thing, and they have like ten

different platforms and Microsoft

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Teams or whatever, where, um, their

employees get bogged down because

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there's so many programs going on.

And so we'll take all those,

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join them all together in AI and

with APIs and things,

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and put it into one platform.

So employees have their own

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dashboard, they log into it,

connects with everything.

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It cleans out all the data, you know,

sales teams not updating their CRM.

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That's a huge problem, right?

We help augment that problem by

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having these systems in place.

and we'll build a custom

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solution for the company based

on what they need. Gotcha.

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So, you know,

the question that comes to mind,

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hearing all of this is privacy.

So I assume that this is a you know,

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this is not something that you would

take, you know, private data and

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throw it out on public and say,

you know, throw it against the wall.

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How do you make sure that this is how

does this integrate so that it is

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still stay private. So what's helped.

And and with the Ise specific we

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could put rails like guardrails

in there.

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It's where we can even feed it.

Maybe some proprietary info.

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But make sure that it removes any

contextual information that would,

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you know, violate any, um,

any NDAs. Right. Gotcha. Yeah.

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So, uh, outside of that,

like our CTO,

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he has a master's in cyber security.

And so security is like a huge

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major focus with us. Yeah.

Um, it's more important how you

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store the data. Yeah. Than anything.

And so making sure that things are

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hosted properly and making sure that

everything's been tested. Right.

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Um, and I mean,

because if we if we build a system

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and it gets hacked, we're liable.

And the company that hired us is

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liable to pay out damages to every

single person whose data got stolen.

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And we don't want that, you know.

So so that's why we're OWASp

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compliant. We're HIPAA compliant.

You know, we we understand what

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it takes to hack stuff because we

actively hack our applications as

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part of the testing process. Gotcha.

Well, um, so I think, you know, the

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customer service or customer support

side of this makes a lot of sense.

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What's what would be the next step if

a company wants to go beyond customer

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support and start implementing,

you know, automating more business

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processes, what would you suggest?

Well, it really depends on the

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industry, right?

I mean, like we find in warehousing

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that there there's a lot of, uh,

warehouses and logistics and

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wholesale companies who still run on,

like,

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Excel sheets and outdated systems.

Uh, there are some, uh,

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brick and mortar stores, apparel

companies and stuff that also are

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running off of outdated inventory

systems and things like that.

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Um, so we'll take those systems,

completely revamp it, like for a

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wholesale company, for example.

Like a lot of them will get

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these huge manifestos that are

like PDFs from one supplier and

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excel from another.

And they have a data warrior in

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India like entering it all.

Yeah, yeah. Biden seeds.

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But you know, humans aren't perfect.

And so there's going to be

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errors and it's slow.

So what will the system we're

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like hey have your supplier

upload it right here.

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It's instantly imported into

your system.

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You don't have to do anything,

you know.

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And so that guys work that you

hired full time.

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You don't need him anymore.

It's not bad.

220

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He just needs to evolve with his job

and get a better. Yeah, sure. Right.

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But, uh, but from an efficiency

standpoint, like, all of a sudden,

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you don't have to wait a week to

have your system updated from.

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It's not a new. Yeah.

You take all the manual work out

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of it. Yeah, yeah, yeah, yeah.

And that's just for like one

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vertical. Right.

So I mean,

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when it comes to fulfillment,

it might look something like that

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when it comes to sales teams,

it's like how do we how do we

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take a salesperson's person's

time and multiply it by ten?

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Because the amount of people that a

sales person contacts per day is

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directly proportional to the amount

of DLC is going to close 100%.

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Yeah. So but how do we take that?

Multiply it by ten without

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losing quality. Right.

See, that's that's the huge thing

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because a lot of people like they

have these huge email systems set

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up or LinkedIn bots or whatever,

and they're doing massive automated

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outreach, but it's kind of bad.

Or maybe they'll do like some

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slight AI personalization on it,

but it's still like it's not

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quite hitting the mark.

Like you can tell an I wrote this.

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It doesn't make sense. Yeah.

So what do you do?

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Well, first of all,

you grab their website text,

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you grab their LinkedIn text,

you grab the last 5 or 10

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LinkedIn posts, right?

You take that, you feed that into a

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Clodagh, which sounds more human

than ChatGPT Also, you pair that

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with maybe some trigger data.

So you're like, oh,

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I know this company just went

through a funding round or oh,

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I know that they just announced

a partnership with XYZ. Yeah.

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And then you take that and you use

that to write the email, and then all

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of a sudden you have relevant email.

It's hitting the right person,

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it's sounding right and human at

the right time.

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And you just not only maximized your

your volume output, but you also

250

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maximized the amount of relevance.

So you're hitting the right

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people at the right time. 100%.

Have you seen this, uh,

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company called Clay? Oh, yeah.

Clay's huge. Yeah. Yeah, yeah.

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And, uh, there's there's another

smaller one. Data factory.

254

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I've been in touch with them.

Actually, no, I've never heard of.

255

00:15:20,660 --> 00:15:24,510

No. Yeah. They're smaller.

Um, but, uh, you know, I really like.

256

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I saw Klay just got a bunch of

funding from, uh. Oh, yeah.

257

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Sequoia or someone, um, and that,

that makes a lot of sense.

258

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You know,

it's just sort of summarizing what

259

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you just said is taking all the

all the data and saying, how do we

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do research on the fly, you know,

quickly and make it personalized.

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Now, it's still not all the way

there, but, you know, this kind of

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going back to like the roles changing

and people understand the roles.

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That's what I think that, uh,

salespeople and then again,

264

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marketers, depending on your,

your vertical or your, your company,

265

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they have to adjust to the tools

and to and therefore their role.

266

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So I think Clay is an

interesting example of that.

267

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Oh yeah. Clay's amazing.

Clay's big because, uh,

268

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the speed of testing is huge.

Clay integrates with everything

269

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really easily, and it's fast,

like for sales teams and testing

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verticals and ideas and stuff.

Clay is like, that's where it's at.

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The thing about it is,

is it's really expensive.

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The credits on clay are astronomical.

So what we sometimes see sales

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teams do.

I don't know if you know of Eric

274

00:16:29,700 --> 00:16:32,010

or some of these other people

that use clay a lot.

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Eric used to work for clay, actually.

He's a good friend of mine, but, um.

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What they'll do is they'll build

stuff out on clay,

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and then they'll turn around and

and hire an automation expert to

278

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build that and Aiden.

Or make or to build a Python

279

00:16:45,470 --> 00:16:48,290

script for that. Okay.

And so Clay is for the testing.

280

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Once they have something that works,

they'll go and rebuild it to reduce

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00:16:52,250 --> 00:16:57,920

the costs. Oh okay. Interesting.

So. Okay. That's good to know.

282

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Put that one in my in my, uh,

list of things to, to look into.

283

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I like that because I think I am

experiencing that, uh, um, won't get

284

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I won't get into that right now.

But going back to your, your top,

285

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your conversation about the

fulfillment, it sparked this question

286

00:17:13,560 --> 00:17:16,710

of if you come in and work with

a company and help them really,

287

00:17:16,710 --> 00:17:18,660

you know, get all their stuff

together, you know,

288

00:17:18,660 --> 00:17:21,480

for lack of a better way to say it,

what's the learning curve for

289

00:17:21,480 --> 00:17:25,220

them on the back end of of that

new solution, New implementation?

290

00:17:25,250 --> 00:17:27,530

Well,

it's not as hard as you might think.

291

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I mean, first of all,

we have a full knowledge base.

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We do videos,

we do full documentation.

293

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We also do documentation, if ever.

Like you, they wanted to work

294

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with another dev team.

They could jump in and another

295

00:17:39,230 --> 00:17:42,800

dev team could easily figure out

what's going on and take it further.

296

00:17:42,800 --> 00:17:44,870

Right? Yeah.

What's a lot of what's a lot of

297

00:17:44,870 --> 00:17:47,180

software companies don't do that

because they want you to stick

298

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with them.

So that's something really

299

00:17:49,020 --> 00:17:52,620

important to note.

But no, it's it's a lot easier than

300

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you think because a lot of our

interfaces like first we'll build

301

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a design and we'll make sure the

design is simple and easy to use.

302

00:17:59,190 --> 00:18:03,120

We'll go through a testing process

where we'll roll out a feature

303

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to the employees or something,

and we'll see how it works.

304

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We'll try it on and see what

happens after that.

305

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Depending on the feedback will

change.

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Where some things are, we'll move

some stuff around or maybe add a

307

00:18:16,070 --> 00:18:21,020

thing or remove a thing. At the end.

We find that it's just so much

308

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easier for people to use that they

just kind of default into it.

309

00:18:24,770 --> 00:18:29,270

I mean, everybody, at least now, not

when I grew up, but everybody now.

310

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Like they have a phone from like

the second, you know,

311

00:18:32,570 --> 00:18:34,970

they're they're in the second or

third grade. Right. Yeah. Yeah.

312

00:18:34,970 --> 00:18:38,130

I didn't, I didn't get a phone until

I was like almost in high school,

313

00:18:38,130 --> 00:18:41,700

you know. Yeah. Uh. Same here.

Yeah, yeah, yeah.

314

00:18:41,700 --> 00:18:44,700

So, uh, but so it's a lot more

intuitive than people think,

315

00:18:44,700 --> 00:18:46,470

because, I mean,

there's a lot of commonalities

316

00:18:46,470 --> 00:18:49,380

between platforms and things.

Like you go into Google Admin

317

00:18:49,380 --> 00:18:51,300

Console, it's confusing as hell.

Yeah.

318

00:18:51,360 --> 00:18:52,860

You're just like,

what am I doing here?

319

00:18:52,860 --> 00:18:55,740

But but I mean, you go into

these other platforms like clay,

320

00:18:55,740 --> 00:18:58,020

for example, maybe it's a little

bit more complicated,

321

00:18:58,020 --> 00:19:03,920

but but there's a kind of,

a commonality in between the UX

322

00:19:03,920 --> 00:19:06,710

and all these platforms that a lot

of people have gotten used to,

323

00:19:06,710 --> 00:19:10,550

and we use that to kind of help aid

the transition to the new system.

324

00:19:10,910 --> 00:19:12,470

Well, I mean,

talking about all these tools,

325

00:19:12,470 --> 00:19:16,040

I think your role and what you

guys are doing at your company is,

326

00:19:16,040 --> 00:19:20,150

is very valuable at the at the

current day, because people

327

00:19:20,150 --> 00:19:22,400

don't really know what is what,

you know, they don't have.

328

00:19:22,400 --> 00:19:25,590

They're running a business

selling X and they're managing

329

00:19:25,590 --> 00:19:28,860

teams and putting out fires.

They don't have the time really to

330

00:19:28,860 --> 00:19:33,870

digest all of what's happening.

And with AI and to think to the

331

00:19:33,870 --> 00:19:38,220

depth of what you can think.

And are you live in for

332

00:19:38,220 --> 00:19:40,050

automating business processes

and those kind of things.

333

00:19:40,050 --> 00:19:43,500

So I think that what you guys

are doing is, is super valuable.

334

00:19:43,500 --> 00:19:46,560

I don't see it going away

anytime soon, I think.

335

00:19:46,560 --> 00:19:49,640

But for the current day, super

valuable helping people understand

336

00:19:49,640 --> 00:19:53,270

which just the last 10 minutes or 15

minutes of us talking I think is

337

00:19:53,270 --> 00:19:55,700

super valuable for people to see.

Like, look,

338

00:19:55,700 --> 00:19:59,840

there's lots of tools out there

that are all racing to be the tool.

339

00:19:59,840 --> 00:20:03,440

And, you know, there's outfits

like you guys that are out there

340

00:20:03,440 --> 00:20:05,480

understanding these tools,

working with the tools,

341

00:20:05,480 --> 00:20:09,020

you know, and deploying them

inside of actual projects.

342

00:20:09,530 --> 00:20:13,500

Um, and you can, you know,

you can lend that experience, Um,

343

00:20:13,500 --> 00:20:17,010

I want to now kind of shift to

the digital nomad side of things,

344

00:20:17,010 --> 00:20:21,150

because I think that I think

this will bring as much value.

345

00:20:21,600 --> 00:20:26,910

Um, but, you know, when people think

of Digital Nomad, I the way I think

346

00:20:26,910 --> 00:20:30,480

of it is like someone sipping a

cocktail on a Mexico beach, right?

347

00:20:30,840 --> 00:20:34,410

Um, something like, you know,

you're traveling, you're you're

348

00:20:34,410 --> 00:20:39,980

just living the van life, right?

It doesn't appear that that's really

349

00:20:39,980 --> 00:20:43,460

what you're doing because you're

running a company. Right. And yeah.

350

00:20:43,460 --> 00:20:47,180

And so I give us a, give us a look

into what does that mean for you?

351

00:20:47,180 --> 00:20:50,450

What does Digital Nomad mean for you.

Right. Okay.

352

00:20:50,450 --> 00:20:54,110

Well, when I started out as a digital

nomad, I wasn't running my own

353

00:20:54,110 --> 00:20:58,130

company, so it was a lot different.

Um, there was a lot more, you know,

354

00:20:58,400 --> 00:21:00,590

sipping the cocktail on the beach,

right? Yeah.

355

00:21:01,220 --> 00:21:05,910

Um, but as I started to,

to grow the company, like when I,

356

00:21:05,910 --> 00:21:10,380

when I first started, I would move

countries every time my visa expired

357

00:21:10,740 --> 00:21:15,120

or whenever I got bored. Right.

So that would be every 3 to 6 months,

358

00:21:15,450 --> 00:21:17,160

right?

So every 3 or 6 months I had a

359

00:21:17,160 --> 00:21:19,620

major change.

Now those major changes are really

360

00:21:19,620 --> 00:21:23,310

good because they give you, uh,

a chance to change up your routine.

361

00:21:23,310 --> 00:21:26,750

Changing your environment is a

really, really good way to change up.

362

00:21:26,750 --> 00:21:29,930

Like how your day to day looks.

Uh, that being said,

363

00:21:29,930 --> 00:21:33,620

as I started growing the company,

I needed more consistency.

364

00:21:33,650 --> 00:21:38,990

So if I was to move to another

country, um, and every three months I

365

00:21:38,990 --> 00:21:41,450

have to figure out where the gym is,

I need to make sure that my

366

00:21:41,450 --> 00:21:44,720

place has good Wi-Fi.

I need to, you know,

367

00:21:44,720 --> 00:21:47,690

figure out where the good food is,

how to do this, how to do that.

368

00:21:47,690 --> 00:21:50,100

And the other thing,

and I'm excited, you know,

369

00:21:50,250 --> 00:21:53,370

I want to go see stuff. Yeah.

So and that's uh,

370

00:21:53,370 --> 00:21:56,910

that can be a distraction sometimes,

to be honest. For sure. For sure.

371

00:21:56,910 --> 00:22:01,830

And so I've kind of slowed down

a little bit now and I'm valuing

372

00:22:01,830 --> 00:22:06,000

a little bit more staying in

places longer time one year visa

373

00:22:06,000 --> 00:22:08,130

here to your visa.

There's something like that.

374

00:22:08,850 --> 00:22:11,820

Um, and also to get to know the

place more because if you're rolling

375

00:22:11,820 --> 00:22:15,620

through places every 3 to 6 months,

you had a couple tourist spots,

376

00:22:15,620 --> 00:22:19,160

you had a couple of local spots,

and like you, you moved on and you

377

00:22:19,160 --> 00:22:24,380

didn't actually like get to know

the country like, and its values.

378

00:22:24,380 --> 00:22:27,260

And I've noticed the countries

where I've spent more time,

379

00:22:27,260 --> 00:22:30,530

more than six months or the countries

that I know a lot better. Yeah.

380

00:22:30,650 --> 00:22:32,840

You have more connection to them.

Yeah, yeah, yeah.

381

00:22:32,840 --> 00:22:34,820

But I think all that,

all the first part,

382

00:22:34,820 --> 00:22:39,180

a lot of wisdom came out of that,

you know, and having to think

383

00:22:39,180 --> 00:22:42,570

through your process of setting

up and tearing down every time

384

00:22:42,570 --> 00:22:46,590

you go to a different place.

Um, you know, you there's a lot

385

00:22:46,590 --> 00:22:49,080

of excitement involved,

which helps carry you,

386

00:22:49,080 --> 00:22:52,920

because if it wasn't exciting, then

it would just be. What's the point?

387

00:22:52,950 --> 00:22:57,000

Yeah, but I think taking the

principles of just moving

388

00:22:57,000 --> 00:22:59,730

logistically and getting things

set up and all that, um,

389

00:22:59,730 --> 00:23:03,380

it's like this forced, you know,

it becomes sort of its own DNA,

390

00:23:03,380 --> 00:23:07,790

but it's this forced rethinking

and refreshing of, okay, how am

391

00:23:07,790 --> 00:23:11,270

I going to do this again? Right.

And so I think that's what's

392

00:23:11,270 --> 00:23:13,190

valuable.

So that's what I want to know.

393

00:23:13,190 --> 00:23:16,490

Like I want to dig into that a

little bit and say, okay,

394

00:23:16,550 --> 00:23:20,180

what what did you take from that

that you're applying in your company

395

00:23:20,180 --> 00:23:24,200

now that you're more settled? Okay.

Well, um, I mean, the obvious one is,

396

00:23:24,200 --> 00:23:27,240

is as digital nomad,

you can't have a lot of things.

397

00:23:27,240 --> 00:23:32,730

So if you go in a place and I've

done this, you buy a bicycle or

398

00:23:32,730 --> 00:23:37,200

a guitar or a TV or whatever.

Um, when you move, you gotta leave

399

00:23:37,200 --> 00:23:40,290

it behind or you got to sell it.

And usually you don't sell it.

400

00:23:40,290 --> 00:23:42,690

Usually you just kind of leave it

behind. Give it to somebody, right?

401

00:23:43,020 --> 00:23:46,950

Yeah. It takes too long. So. Yeah.

And so first of all, that that

402

00:23:46,950 --> 00:23:50,990

leads you to not be attached to

things as much, uh, because you

403

00:23:50,990 --> 00:23:54,560

know that they come and go.

Um, and so you don't really need to

404

00:23:54,560 --> 00:23:57,920

have like, I have my basic stuff.

I do have some guitars that I

405

00:23:57,920 --> 00:24:01,670

take with me.

I have my Muay Thai gloves, uh,

406

00:24:01,670 --> 00:24:04,430

and my raps. Right.

I have my laptop, I have my

407

00:24:04,430 --> 00:24:07,640

extra screen, which is a little

portable monitor, just so that I

408

00:24:07,640 --> 00:24:11,090

always have two screens. Right?

Uh, I've got my camera and my

409

00:24:11,090 --> 00:24:14,450

clothes and, like, that's it.

Like, that's all I got, you know?

410

00:24:14,570 --> 00:24:18,660

Um, so when I moved locations,

first of all, packing is really easy

411

00:24:18,660 --> 00:24:21,540

because it's like, I don't have a

lot of things. You already packed?

412

00:24:21,780 --> 00:24:25,200

Yeah, I just store them in the bag.

Takes me maybe, like, 30 minutes.

413

00:24:25,200 --> 00:24:28,560

25 minutes, you know?

I don't even pack the day before.

414

00:24:28,560 --> 00:24:31,410

I'm like, I'll just pack a couple.

You're literally like Jason Bourne.

415

00:24:31,650 --> 00:24:34,080

Yeah, something like that.

That's cool.

416

00:24:34,080 --> 00:24:37,290

I mean, once I, you know,

you can leave a place.

417

00:24:37,290 --> 00:24:39,800

Leave it, leave a trace.

No trace in 25 minutes.

418

00:24:39,800 --> 00:24:42,830

Jason Bourne. There you go.

Yeah. No. That's awesome.

419

00:24:42,980 --> 00:24:45,470

The other thing, though,

is it's forced me to, like,

420

00:24:45,470 --> 00:24:47,870

become a lot faster when I do do

these transitions.

421

00:24:47,870 --> 00:24:52,730

So, um, it's gotten a lot easier.

It used to take me, like, 2 or 3

422

00:24:52,730 --> 00:24:57,950

weeks to get settled in a location.

Now I can get settled in like 3

423

00:24:57,950 --> 00:25:02,780

to 5 days, roughly.

Um, so, like part of that is, you

424

00:25:02,780 --> 00:25:06,270

know, I know that I trained Muay Thai

and that's really important to me.

425

00:25:06,270 --> 00:25:10,470

So before I go to a place, uh,

I'll look on Instagram,

426

00:25:10,470 --> 00:25:13,770

on Google Maps and I'll reach out

to Muay Thai trainers and get a

427

00:25:13,770 --> 00:25:19,140

private trainer before I even go.

So that the day I show up the next

428

00:25:19,140 --> 00:25:23,520

day, I wake up, I'm still with my

same routine of I'm doing Muay Thai

429

00:25:23,520 --> 00:25:27,800

in the mornings. Yeah, right. Yeah.

Um, also, one thing that's really

430

00:25:27,800 --> 00:25:31,580

important is messaging Airbnb hosts

and having them send the screenshot

431

00:25:31,580 --> 00:25:37,250

of the internet speed. There you. Go.

Because I've landed some Airbnbs

432

00:25:37,250 --> 00:25:41,270

that look really, really nice and

the internet is slow and it's like,

433

00:25:41,270 --> 00:25:44,270

dude, I can't be leaving the

house every day to go to a cafe.

434

00:25:44,300 --> 00:25:46,910

I mean, some people like the

co-working stuff. Yeah. Yeah.

435

00:25:46,910 --> 00:25:49,190

For me, first of all,

I'm making videos.

436

00:25:49,190 --> 00:25:51,840

I'm talking to clients,

I'm doing sales calls.

437

00:25:51,840 --> 00:25:54,720

I'm talking with the team.

You know, I have so much stuff

438

00:25:54,720 --> 00:25:58,740

going on that, you know,

I can't have that in my space.

439

00:25:58,740 --> 00:26:01,830

It doesn't make sense, you know?

So, um,

440

00:26:01,830 --> 00:26:05,640

having a really good Wi-Fi connection

at the house is really important.

441

00:26:05,850 --> 00:26:10,050

That also brings up another thing.

If you're living with someone like

442

00:26:10,050 --> 00:26:14,880

my, my girlfriend is a psychologist

and she has her, you know, her own

443

00:26:14,880 --> 00:26:20,000

business and she has patients like,

I can't be around because of

444

00:26:20,000 --> 00:26:23,810

patient privacy stuff. Yeah.

So we have to have a house that has,

445

00:26:24,140 --> 00:26:28,940

you know, doors. We can't do studios.

So, like you, you learn stuff

446

00:26:28,940 --> 00:26:32,450

like that when you travel.

Well, here's here's the bridge

447

00:26:32,450 --> 00:26:34,910

that I see in what we were

talking about before.

448

00:26:35,060 --> 00:26:39,930

And the, the digital nomad life is

that you talked about not having

449

00:26:39,930 --> 00:26:43,890

attachments to things. Yeah.

And to me, I think a lot of business

450

00:26:43,890 --> 00:26:47,700

owners, they have attachment to their

processes and their systems a lot.

451

00:26:47,700 --> 00:26:52,170

And so when you come in, isn't that

what you see? Oh yeah. Oh yeah.

452

00:26:52,200 --> 00:26:54,390

The bigger the companies get,

the more attached they are.

453

00:26:54,390 --> 00:26:57,450

And they're losing hundreds of

thousands of dollars on systems.

454

00:26:57,450 --> 00:27:00,270

And they're just like, but it would

be more of a pain to change them.

455

00:27:00,270 --> 00:27:02,520

Like, okay, so you're going to lose

a couple hundred thousand dollars

456

00:27:02,520 --> 00:27:05,450

just because you don't change.

It's like metaphorical hoarding,

457

00:27:05,450 --> 00:27:08,960

you know, of of systems and process.

Like you would maybe more TVs or

458

00:27:08,960 --> 00:27:12,590

whatever you leave behind. Yeah.

I think it's so super interesting

459

00:27:12,620 --> 00:27:15,530

to think about it that way, where

if you thought about your company,

460

00:27:15,530 --> 00:27:18,650

like you're going to leave in

three months and you have to

461

00:27:18,650 --> 00:27:21,920

pack your stuff in 30 minutes,

well, what are you taking and

462

00:27:21,920 --> 00:27:24,470

what are you leaving and what

does that cost to you? Right.

463

00:27:24,860 --> 00:27:28,950

Um, and so I think the attachment to

processes is, uh, is a real thing

464

00:27:28,950 --> 00:27:33,270

because you've got this person

who brought you the system that's

465

00:27:33,270 --> 00:27:37,080

integral to your organization,

and you value them. Right?

466

00:27:37,080 --> 00:27:38,880

You don't want to get rid of them.

You don't want to hurt their

467

00:27:38,880 --> 00:27:41,010

feelings.

You know, you're gonna you're

468

00:27:41,010 --> 00:27:43,680

gonna rock the boat if you start

to change things because they've

469

00:27:43,680 --> 00:27:46,470

got their ways. Right.

And so all these things start to

470

00:27:46,470 --> 00:27:48,480

add up.

So when you come into a company,

471

00:27:48,480 --> 00:27:51,210

you start to see this.

I mean, your reaction was exactly

472

00:27:51,210 --> 00:27:52,970

what I thought it was going to be,

You know. Yeah.

473

00:27:52,970 --> 00:27:55,850

You do see this right there?

Attached. Yeah. Oh, yeah.

474

00:27:55,850 --> 00:28:00,920

Well, another thing that that I find

a lot is they have a lot of data on a

475

00:28:00,920 --> 00:28:03,890

particular platform and they're like,

yeah, how do we move all this data?

476

00:28:03,890 --> 00:28:05,750

It's already there.

Everything's already set up.

477

00:28:06,020 --> 00:28:09,290

It's like I mean,

there are ways I mean, even if the

478

00:28:09,290 --> 00:28:12,440

system doesn't give you API access

and no way of downloading the data,

479

00:28:12,620 --> 00:28:17,130

we have ways of grabbing that data,

trust me. So but that's a huge fear.

480

00:28:17,130 --> 00:28:20,490

And so they're not even open for

the conversation because they're

481

00:28:20,490 --> 00:28:25,290

so attached to said thing.

But also it's like, okay, uh,

482

00:28:25,290 --> 00:28:29,340

you can keep going this way and

keep losing X on your bottom line.

483

00:28:29,340 --> 00:28:32,190

But I'll tell you, in ten, 15 years,

all these other companies,

484

00:28:32,190 --> 00:28:35,040

they're going to pass you, they're

going to pass you because you didn't

485

00:28:35,040 --> 00:28:38,340

make the important decision before.

Yeah. You know what I mean. Yeah.

486

00:28:38,340 --> 00:28:41,450

I have a client that I've been

doing work with for a long time,

487

00:28:41,450 --> 00:28:44,960

and he's very good at not being

attached to things in his business.

488

00:28:44,960 --> 00:28:47,210

That's good.

And that's that's a big reason why he

489

00:28:47,210 --> 00:28:52,940

wins. He he's a good leader in that.

He will help communicate and

490

00:28:52,940 --> 00:28:58,340

translate to his key employees

why they they need to get rid of

491

00:28:58,340 --> 00:29:01,310

this thing or this company or

vendor or whatever. Yeah.

492

00:29:01,460 --> 00:29:05,340

Uh, because as he's growing in

the vision that the. Yes.

493

00:29:05,340 --> 00:29:09,510

For the company, um, it is all

clear that things are changing,

494

00:29:09,510 --> 00:29:12,420

is shifting and then over, you know,

after over the last decade,

495

00:29:12,420 --> 00:29:16,410

so many things have shifted and

change in all companies.

496

00:29:16,410 --> 00:29:19,830

In the last six months,

things have changed dramatically.

497

00:29:20,220 --> 00:29:26,790

So you can't be a leader of a

small or or growing business and,

498

00:29:26,790 --> 00:29:30,230

and be attached to anything because

you're going to be the bottleneck.

499

00:29:30,230 --> 00:29:34,880

Those things will be the bottleneck.

Yeah. No, I totally agree.

500

00:29:34,880 --> 00:29:38,090

I and I think the bigger the

companies get, the more they have

501

00:29:38,150 --> 00:29:42,440

SOPs and systems in place. Yes.

And it becomes a little bit harder

502

00:29:42,440 --> 00:29:46,040

because like me as an entrepreneur,

like I changed my mind a lot

503

00:29:46,040 --> 00:29:48,110

about things.

So like one week I'm like, oh,

504

00:29:48,110 --> 00:29:49,760

this is the coolest thing.

We all have to use this.

505

00:29:49,760 --> 00:29:51,350

And the next week I'm like,

oh no, that sucks.

506

00:29:51,350 --> 00:29:52,970

We need to actually do this thing.

Yeah.

507

00:29:52,970 --> 00:29:55,860

You know, and that can be really

jarring on employees, right?

508

00:29:56,100 --> 00:30:01,230

So I have a buffer system,

my CTO and our main PM. Jesus.

509

00:30:01,770 --> 00:30:04,830

Um, they're kind of a buffer between

me and the employees because I'm

510

00:30:04,830 --> 00:30:08,340

like, ah, this. That's good. Yeah.

Um, and they kind of, like, roll

511

00:30:08,340 --> 00:30:11,970

things out a little bit more slowly.

They let it kind of test out, um,

512

00:30:11,970 --> 00:30:14,880

so it's not quite as jarring.

And a bigger company, though,

513

00:30:14,880 --> 00:30:17,870

like, yeah, I can see how,

like changing the entire structure,

514

00:30:17,870 --> 00:30:20,330

the entire system.

I mean, like for example,

515

00:30:20,330 --> 00:30:23,570

like HubSpot is a big one, dude,

HubSpot is expensive.

516

00:30:23,570 --> 00:30:26,630

Salesforce is really expensive.

Super expensive. Yeah, yeah.

517

00:30:26,630 --> 00:30:30,320

And like, dude, honestly,

once you get to a bigger team size,

518

00:30:30,320 --> 00:30:32,810

yeah, it kind of does everything,

but it kind of is everything in

519

00:30:32,810 --> 00:30:36,440

a really clunky, crappy ass way.

Like, let's be real, you know?

520

00:30:36,440 --> 00:30:39,860

So but they're really attached

to it because of the data,

521

00:30:39,860 --> 00:30:42,300

because this and that.

I'm like, well, that's good.

522

00:30:42,300 --> 00:30:46,110

But you calculate, okay,

this is the subscription cost,

523

00:30:46,110 --> 00:30:49,260

right? It's expensive. Yes.

But what they're not thinking

524

00:30:49,260 --> 00:30:52,170

about is the amount of time and

efficiencies that their employees

525

00:30:52,170 --> 00:30:55,740

are spending on that system.

So you have to add both of those

526

00:30:55,740 --> 00:30:57,540

together.

And they'd be like, okay,

527

00:30:57,540 --> 00:31:01,710

now does this cost the same as it

would for me to maintain a new

528

00:31:01,710 --> 00:31:05,610

system that I built for myself?

And the answer for a lot of

529

00:31:05,630 --> 00:31:08,090

companies is no.

I mean, for some companies it

530

00:31:08,090 --> 00:31:10,820

does make sense. But.

But not for every company.

531

00:31:10,820 --> 00:31:13,430

Definitely not.

Yeah, I think whenever it's a

532

00:31:13,430 --> 00:31:18,290

red flag for me, whenever these

platforms that were cutting edge

533

00:31:18,290 --> 00:31:23,510

and were very valuable to various

different processes in a company,

534

00:31:23,510 --> 00:31:26,960

when they start creating

certification courses that you get

535

00:31:26,960 --> 00:31:31,080

certified in their platform, that to

me is the is sort of the writing on

536

00:31:31,080 --> 00:31:36,030

the wall for what's coming, you know.

Um, and it's again, for a lot of

537

00:31:36,030 --> 00:31:39,810

companies, it still makes sense.

Um, but when you start talking about

538

00:31:39,810 --> 00:31:42,810

being attached to systems and things

that are happening in your company,

539

00:31:42,810 --> 00:31:44,910

when you start to say, okay,

now we're going to get certified in

540

00:31:44,910 --> 00:31:47,220

this thing and we're going to hire

people who are certified in this,

541

00:31:47,220 --> 00:31:51,090

these things.

It's going to last for some time,

542

00:31:51,090 --> 00:31:54,770

but at some point it's going to come

where this now thing that we have

543

00:31:54,770 --> 00:32:00,170

14 people certified in is old hat.

Now we have to want to declutter

544

00:32:00,170 --> 00:32:02,240

all of this.

I'm going to stick with the analogy,

545

00:32:02,240 --> 00:32:04,970

but we have to, you know,

disconnect all of this and

546

00:32:05,120 --> 00:32:06,860

really kind of start over.

It's almost like a first

547

00:32:06,860 --> 00:32:09,350

principles type of thinking again.

Oh yeah. Yeah, yeah.

548

00:32:09,350 --> 00:32:11,990

It's like every time I move you

got to kind of start over again

549

00:32:11,990 --> 00:32:14,390

and again. Again.

That's exactly right. Yeah. Yeah.

550

00:32:14,390 --> 00:32:17,570

No, I mean we we find that too.

We find that, um,

551

00:32:17,570 --> 00:32:20,280

even with our systems, like.

Yeah, they're going to work for

552

00:32:20,280 --> 00:32:23,700

like 5 or 7 years or whatever,

but eventually you're going to

553

00:32:23,700 --> 00:32:26,850

have to do updates.

We we build it in such a way and

554

00:32:26,850 --> 00:32:28,440

where it's really easy to make

changes.

555

00:32:28,440 --> 00:32:31,860

So if ever, you know,

there's a new vertical or the

556

00:32:31,860 --> 00:32:35,640

company ships or something like we,

we can kind of pivot the program.

557

00:32:35,640 --> 00:32:40,050

But that being said, like programs

are also like a learning experience.

558

00:32:40,050 --> 00:32:42,180

So like we can build it.

It'll work for a couple of years,

559

00:32:42,200 --> 00:32:44,480

but eventually,

like it's going to have to change.

560

00:32:44,690 --> 00:32:47,060

I mean, even the stuff we build is

going to have to change everything

561

00:32:47,450 --> 00:32:48,800

eventually have to change.

That's right.

562

00:32:48,800 --> 00:32:52,670

So it's better to have a living

and breathing system that evolves

563

00:32:52,670 --> 00:32:57,080

with the company than it is to

have a system that evolves for the

564

00:32:57,080 --> 00:33:00,380

system to make more money, and

you're just kind of attached to it.

565

00:33:00,620 --> 00:33:02,900

Another thing that we find is

really important is having

566

00:33:02,900 --> 00:33:06,780

control of your own data.

So you know, you're using HubSpot,

567

00:33:06,780 --> 00:33:10,590

Salesforce, all this other stuff.

I mean, you don't know where

568

00:33:10,590 --> 00:33:12,540

they're storing that data.

You don't know what they're

569

00:33:12,540 --> 00:33:14,100

doing with that data.

I mean, you could read the

570

00:33:14,100 --> 00:33:18,030

contracts and whatnot, but, I mean,

we all know that that Gmail,

571

00:33:18,030 --> 00:33:20,550

like Google is selling a lot of

your search data to other

572

00:33:20,550 --> 00:33:25,800

companies and stuff. Sure.

And so having just control of

573

00:33:25,800 --> 00:33:29,760

your own data from a security

standpoint is huge.

574

00:33:29,760 --> 00:33:32,750

But from an analytical standpoint,

like the things you can do after

575

00:33:32,750 --> 00:33:36,110

you have ultimate control of all

your data is insane.

576

00:33:36,110 --> 00:33:40,550

Like the predictive analysis of

markets, the ability to predict

577

00:33:40,550 --> 00:33:43,370

ebbs and flows.

So, you know, when your your high

578

00:33:43,370 --> 00:33:46,400

months are going to be like the AI is

going to tell you that way better

579

00:33:46,400 --> 00:33:50,030

than you'd be able to predict it

100% every time? Uh, yeah, 100%.

580

00:33:50,210 --> 00:33:53,570

So to round this conversation out,

I have a question for you. Okay.

581

00:33:53,570 --> 00:33:58,650

If if you were put in charge of,

let's say, uh, $5 million

582

00:33:58,650 --> 00:34:02,400

company still sort of stage one

looking to grow to stage two,

583

00:34:02,940 --> 00:34:06,810

what would be some of the first

things that you would cut and why?

584

00:34:06,840 --> 00:34:09,390

You know, now I say cut for

efficiency sake because it's a

585

00:34:09,390 --> 00:34:12,660

lot of what we're talking about.

But or maybe automate, right.

586

00:34:12,750 --> 00:34:16,770

If you went in there and you pick

your own vertical pick, you know,

587

00:34:16,770 --> 00:34:19,070

you know, because I know you,

you've already done this with

588

00:34:19,070 --> 00:34:22,700

some companies.

Um, what would be the first

589

00:34:22,700 --> 00:34:25,550

things that you would point at?

I mean, it's really different for

590

00:34:25,550 --> 00:34:29,540

every company. That's a thing.

Um, customer service is a huge

591

00:34:29,540 --> 00:34:32,240

overhead for a lot of companies.

Some companies is not, though.

592

00:34:32,240 --> 00:34:34,880

But customer service definitely

is a huge time suck.

593

00:34:35,270 --> 00:34:37,880

Um,

I would really hit sales really hard.

594

00:34:37,910 --> 00:34:40,520

I'd, uh, try to thin down the

sales team quite a bit.

595

00:34:41,030 --> 00:34:45,990

Um, because, you know,

five really intelligent sales guys

596

00:34:45,990 --> 00:34:50,550

that know how to use clay are

way more valuable than 20 stars

597

00:34:50,550 --> 00:34:54,600

and members and AI's, right?

Yeah, those five guys are going to

598

00:34:54,600 --> 00:35:01,050

smash that whole, like, 30% by far.

Um, so sales processes is huge.

599

00:35:01,260 --> 00:35:04,770

Also making sure there's a huge

inbound flow of leads instead of

600

00:35:04,770 --> 00:35:08,990

outbound because it's a lot easier

on everybody involved. Sure.

601

00:35:09,020 --> 00:35:11,510

Um, you know, they're already sold

before they hop on the meeting.

602

00:35:11,840 --> 00:35:14,270

You know, it's going to be a

good relationship. Yeah.

603

00:35:14,570 --> 00:35:17,750

Um, I'd say filtering of clients

is a big thing.

604

00:35:17,750 --> 00:35:19,820

Making sure you don't get crappy

clients.

605

00:35:19,820 --> 00:35:23,690

I think it's just as important

to vet the client as much as it

606

00:35:23,690 --> 00:35:26,360

is for the client to vet you.

You want to make sure that the

607

00:35:26,360 --> 00:35:28,550

relationship is valuable for

both parties.

608

00:35:28,580 --> 00:35:30,920

I want to make sure that I can

provide value to you.

609

00:35:30,920 --> 00:35:33,750

And if I can't provide value to you,

then great.

610

00:35:33,750 --> 00:35:37,500

I'm going to try to find someone who

can. And if I can't, that's fine.

611

00:35:37,860 --> 00:35:40,290

It's better if we don't work

together, because I don't want to

612

00:35:40,470 --> 00:35:43,110

end up down the road with you.

No problem.

613

00:35:43,110 --> 00:35:47,490

So just defining who your ideal

client is and getting rid of all the

614

00:35:47,490 --> 00:35:52,320

all the other noise, that is huge.

So that's where I would really start

615

00:35:52,320 --> 00:35:56,150

out with like that when it comes to

to jumping in on that situation.

616

00:35:56,150 --> 00:35:59,000

I like that the front end

producing revenue, good, solid,

617

00:35:59,000 --> 00:36:03,410

high quality opportunities that

bring on, you know, clients are

618

00:36:03,410 --> 00:36:06,920

going to be long term value. Yeah.

And then and then the back end of

619

00:36:06,920 --> 00:36:10,310

serving them and supporting them.

You know funny you say a lot.

620

00:36:10,310 --> 00:36:12,740

It's a lot of overhead for a lot

of companies is true.

621

00:36:12,740 --> 00:36:15,290

But it should be a higher

overhead for some companies.

622

00:36:15,290 --> 00:36:17,810

Some companies are not paying

attention to their customers and they

623

00:36:17,810 --> 00:36:20,520

need to have more customer support.

Oh yeah. Yeah, yeah.

624

00:36:20,520 --> 00:36:24,720

And I find that that, uh, the better

you make the onboarding process,

625

00:36:24,720 --> 00:36:28,500

the better. The more cozy you make.

The, uh, the whole fulfillment

626

00:36:28,500 --> 00:36:32,490

process as a whole that's going to

have three, four acts, you know,

627

00:36:32,490 --> 00:36:35,790

the amount of referrals you get

and then all ten of the business.

628

00:36:35,790 --> 00:36:38,520

And if you stick to your bread and

butter and understand that, like,

629

00:36:38,520 --> 00:36:41,460

you don't need to be HubSpot,

you don't have to do ten

630

00:36:41,460 --> 00:36:44,120

different services.

If you're really good at this thing,

631

00:36:44,120 --> 00:36:46,220

it's better to cut all the rest.

Just do that.

632

00:36:46,400 --> 00:36:49,850

You're like, really good at

Stack Services up on that,

633

00:36:50,150 --> 00:36:54,710

but you don't need to to go wide.

You can go. Yeah. Going why?

634

00:36:54,710 --> 00:36:58,070

It's good for testing out when you're

first starting out, stuff like that.

635

00:36:58,070 --> 00:37:01,760

But once you find what's working,

stick to that thing. That's right.

636

00:37:01,760 --> 00:37:05,210

Yeah, that's really good advice.

Hey, this has been great and I

637

00:37:05,210 --> 00:37:08,180

appreciate all your insights.

I think this is so timely for people

638

00:37:08,180 --> 00:37:11,940

that are, you know, dabbling in AI,

trying to automate some things.

639

00:37:11,940 --> 00:37:15,360

People have, you know,

antiquated systems. So thanks a lot.

640

00:37:15,360 --> 00:37:18,450

No, I appreciate being on.

Um, and yeah,

641

00:37:18,450 --> 00:37:21,360

thanks a lot as well. Yeah.

So if people want to, you know,

642

00:37:21,360 --> 00:37:23,850

want to send people your way,

how do we get in touch with you?

643

00:37:23,850 --> 00:37:27,900

Yeah, you can go to horizon dev.

Um, easy to remember.

644

00:37:28,200 --> 00:37:30,900

Uh, that's our website.

And then on there, we also have a

645

00:37:30,900 --> 00:37:33,620

YouTube that I've been working really

hard on posting a lot of videos.

646

00:37:33,620 --> 00:37:37,280

So if you guys want to start doing

this DIY and kind of check out some

647

00:37:37,280 --> 00:37:40,460

of the stuff that's possible, I'll

be posting videos there regularly.

648

00:37:41,090 --> 00:37:44,480

Um, and if you want to reach out,

just, you know, all the contact

649

00:37:44,480 --> 00:37:46,670

info is there and you can always

talk to me on LinkedIn too,

650

00:37:46,670 --> 00:37:49,100

if you have questions.

You know, I'm always happy to

651

00:37:49,100 --> 00:37:52,940

answer for free, so love it.

Super valuable. Thank you so much.

652

00:37:52,940 --> 00:37:56,210

And, uh, we'll have to have you back.

All right. I appreciate it, man.

653

00:37:56,660 --> 00:37:57,410

All right. Thanks a lot.