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[music]

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Um,

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as a dot of two, I I totally get how two

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can be overwhelming, but nine, I mean,

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yeah, obviously some are out of the

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house, right?

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>> Yeah. Yeah. Yeah. Yeah. and they they

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get more more helpful, you know, at

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first. I think two is two to three is

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maximum pain. After that, it's it gets

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easier because you have like people on

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your team.

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>> So, it goes downhill after that.

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>> Yeah. Yeah. Yeah. They start becoming uh

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really, you know, helpful taking care of

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the other ones and entertaining them.

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That's the hardest thing about kids is

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just keeping them entertained. So,

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>> you know, you get a pile of them

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together, then it's not so bad.

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And I I guess you got your own uh person

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to to mow the lawn. Maybe one of them.

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>> Yeah. Yeah, that's true. That's true.

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Yeah. Yeah. I They They actually don't

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do that, but they do The older ones do a

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lot of cooking, you know. They pick

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stuff that they're into. And

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fortunately, I I have a bunch that

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really like cooking, so that works out

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really well.

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>> Oh, that's amazing. My daughter loves

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cooking and baking. Not good for uh my

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figure, but what are you gonna do,

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right?

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>> Yeah. Yeah, that's great.

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Well, uh, pleasure to have you on today.

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Second episode of Pale Blue Nexus. On

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the first episode, we had a a guy called

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Jim Rogers and, uh, he was awesome.

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Pleasure to have you back on, talk to

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you again and get to know a little bit

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more about Softron and and what you're

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you're doing over there. Tell us about

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yourself first, Jack, and like your your

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journey, and we'll get into Softron.

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>> Did you say this is only the second

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episode of the podcast?

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I've done many

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podcasts before, but this current

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version of this new brand, it's the

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second episode. Yes.

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>> Oh, right on. Right on. Very cool. Well,

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I'm glad to uh I'm glad to be guest

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number two. That's cool. Um yeah, so so

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Softron um the the way that I describe

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it now is is a little bit different

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because of all the interest in in AI

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agents and um so there was a lot of uh a

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lot of excitement around like open claw

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and a lot of the use cases that people

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were excited about were things like oh

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it can balance my checkbook or you know

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it can pay my bills it can do things

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like that and if you actually tried it I

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mean there were people that kind of

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faked it if you actually tried it it

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didn't work because all the banks and a

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lot of the web apps and a lot of the

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things you'd be interested in connecting

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to actually use blocking and openclaw,

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you know, used a a very simple kind of

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screen scraping navigation tool. Um, and

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it gets blocked really easily. So,

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Softron is basically gives AI agents the

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ability to connect to banks, credit

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unions, utilities, things like that, a

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lot of financial services that would

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normally otherwise prevent it. So if you

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tell your agent, you know, connect to

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cash app and it won't let you, then

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Softron can help that agent connect to

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Cash App.

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>> Now, how did you start this? I was

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looking into your background a little

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bit and you came from Microsoft. Is it

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is it safe to say that?

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>> Yeah. Yeah. Yeah. Most of my career I

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was was in the military uh and signals

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intelligence and then pretty much went

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straight to Microsoft after that. Uh so

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yeah, 20 yearsish um in and around

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Microsoft. Um kind of started back back

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when there was a big push. Uh Bill Gates

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was really trying to push security. We

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had a bunch of uh worms that took over

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the internet and uh um security was

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becoming a really important thing. So

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most of my career was focused on that uh

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software security, software design um at

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Microsoft. Um, and then uh in what was

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that 2014 I I created one of the first I

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I think it was actually the first online

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accounting software for small

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businesses. Um, QuickBooks Online hadn't

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released yet and um ended up selling

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that to a company based in New Zealand

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called Zero that was expanding out.

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Spent a couple years in the Bay Area

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after that and then yeah, that was

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almost 10 years ago and then started uh

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Softron. So Softron's been going for

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about a decade now. Um, and it was a

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little bit of a synthesis of my security

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background and my co-founders as well.

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Kind of the same team that that were

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working on security issues. Then we kind

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of moved over to fintech together and

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then, you know, all of our background

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was in like AI and security. So, it made

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sense for us to kind of move back

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towards something that was like Softron.

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It's basically it's basically a security

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company wrapped in kind of a fintech

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veneer, I would say. So yeah, that's how

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we got started. And the the thesis

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behind the business was really that AI

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would make screen scraping work. There

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was a lot of screen scraping going on at

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that time. There still is because a lot

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of people if they have APIs, they

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actually they want to lock down their

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ecosystem, right? They don't necessarily

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want to have anybody be able to connect

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and just migrate away their users. So

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there's this big, you know, debate and

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philosophical issue of like, you know,

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when you sign up for a utility, is it

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your data? you know, is it it's your

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address and phone number and full name

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and date of birth. Is that your data or

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is it their data? And if it's your data,

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then you should be able to take it out,

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but they'll say, "Oh, it's our data."

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And also for security reasons, we don't

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want you to be able to access it with

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any kind of automation. Right? So, and

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there's some truth to to that

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motivation, but but um but there's also

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a lot of hey, this is our proprietary

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data. This is our moat. We don't you

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know, we don't want that to go out. The

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banks have done that quite a bit. Chase

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recently, you know, there was a big

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thing where they said that they were

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actually going to charge you if you

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wanted to connect like if you connect

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with Softron or Plaid or one of these

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companies to let's say you're using Cash

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App and you want to connect Chase to

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Cash App. Chase is threatening and it's

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not really clear how it's going to work

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out, but to charge actually for that.

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So, you know, not only is it not your

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data, but if you want to access it,

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you're going to have to pay them to

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access it. So our whole thesis was we

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had been users of that and seen that it

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was a nightmare and we thought well you

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know this is in 2014 20 I guess it was

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more like 2016. Um but we thought yeah

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AI is perfect for this right like it's

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not there yet but eventually it will get

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good enough. Um and so within the first

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year we actually had 6,000 banks and

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credit unions that we could connect to.

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Um landed our first couple Anchor

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customers. Um and uh yeah, if you've

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connected your bank account to like a

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fintech app, there's a reasonable chance

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you can use Softron in the background.

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You just haven't haven't known it. Um

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unless you dig through the terms of

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service, then you might see our name.

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>> Do do you have to happen an example of

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uh a fintech app that uh is pretty

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popular that people use?

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>> Yeah. So the way that our business works

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is you have you have aggre like most of

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our business right now is we're similar

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to like a plaid. So we call those like

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aggregators. So you have like Plaid or

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Yodi or you know these sort of guys that

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are out there and then what we do is we

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sit behind them and take all of the

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difficult connections. So they might

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connect to you know bank ABC if it's

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really easy and they have a generous API

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because they're not actually trying to

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to hold users hostage but then if they

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want to connect to bank DF they send

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that traffic through softron in the

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background. So um so there there are

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some apps that I know of where uh where

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our customers are servicing those apps

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but of course that's all under pretty

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strict NDA. So I can't run around and

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say like X Y and Z is powered by

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something.

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>> Okay. Yeah, I know I know how that

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works. And uh so so you're like the

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financial open the open financial data

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layer is what you're you're going for

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here.

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>> Yeah. Yeah. Exactly. I mean at the end

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of the day if you want to if you want to

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have any automation connect to your bank

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account you need somebody like Softron

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to make that happen because the bank is

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spending a lot of money to try to keep

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your data in their ecosystem. it's in

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their best interest. If you wanted to,

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for example, let's say you install my

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car loan app from the app store and

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you're like, I want to get a car loan.

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That's a direct competitor with somebody

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like, you know, Bank of America or Wells

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Fargo or even like Boeing Employees

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Credit Union or something like that. So,

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they want to make that car loan. They

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don't necessarily like they're really

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not financially incentivized to make it

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easier for my car loan app to connect to

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Boeing employees credit union, pull that

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data down and then make a make a lending

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decision based on that. So, so they they

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work really hard. They put a lot of, you

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know, um work into making sure that that

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basically can happen. And then there's

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companies that, you know, they're a

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little aggressive. I would say Softron

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in the ecosystem is by far the most

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aggressive, right? We're just like a

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team of security researchers and hackers

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and you know people like working on this

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sort of stuff that that are making sure

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users can get their data whether whether

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somebody likes it or not. So I think

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we're we're the most extreme. We're the

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most aggressive. And you know, obviously

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the the concerns around security and

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privacy and all that stuff we take

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really seriously, but that's really not

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the issue, right? We're Sock 2

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compliant. We follow the rules. We

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follow the regulations in a uh in any

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given region, of course. But uh but what

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we really do is when somebody tries to

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close the door on you, when it's your

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data and you want to pull it out and use

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it for something else, we kick in the

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door.

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>> Interesting. That is a that is a really

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good analogy and explain it like I'm

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five. So I totally get that. And how how

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difficult was it to kick down the door?

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Like initially it must have been a big

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00:09:43,760 --> 00:09:48,560
uphill battle.

268
00:09:45,600 --> 00:09:51,519
>> Yeah, it was. I mean back in 2016 it

269
00:09:48,560 --> 00:09:53,040
wasn't as bad. Most of the most of the

270
00:09:51,519 --> 00:09:56,000
stuff that you know let's say that

271
00:09:53,040 --> 00:09:58,080
you're evil bank you know evil bank um

272
00:09:56,000 --> 00:10:00,480
evil bank corp. Most of the stuff they

273
00:09:58,080 --> 00:10:03,920
were doing at that point was kind of

274
00:10:00,480 --> 00:10:05,440
benign. like they would uh Yodi for

275
00:10:03,920 --> 00:10:08,000
example, they would write screen

276
00:10:05,440 --> 00:10:09,680
scraping scripts that were hardcoded and

277
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a lot of the providers today still do

278
00:10:09,680 --> 00:10:12,560
this actually and that's why a lot of

279
00:10:11,360 --> 00:10:14,000
you know if you if you've tried to

280
00:10:12,560 --> 00:10:15,279
connect your bank you probably you know

281
00:10:14,000 --> 00:10:17,440
there's a reasonable chance you weren't

282
00:10:15,279 --> 00:10:18,560
happy about the user experience but uh

283
00:10:17,440 --> 00:10:20,240
but what they would do is they would

284
00:10:18,560 --> 00:10:22,240
just pointlessly change their website

285
00:10:20,240 --> 00:10:24,079
right they would just like we won't call

286
00:10:22,240 --> 00:10:26,000
it the login button we'll call it the

287
00:10:24,079 --> 00:10:28,480
jump in button or something you know

288
00:10:26,000 --> 00:10:31,040
kind of random in the HTML break and if

289
00:10:28,480 --> 00:10:33,200
what you were doing Yeah. Exactly.

290
00:10:31,040 --> 00:10:36,000
Exactly. So just annoying things that

291
00:10:33,200 --> 00:10:37,680
would break the the screen scrapers and

292
00:10:36,000 --> 00:10:39,680
because from the very beginning we were

293
00:10:37,680 --> 00:10:42,399
using like computer vision and natural

294
00:10:39,680 --> 00:10:44,640
language processing and machine learning

295
00:10:42,399 --> 00:10:45,920
to do all of this. We were actually

296
00:10:44,640 --> 00:10:48,079
that's that's why we were able to

297
00:10:45,920 --> 00:10:50,079
support like 6,000 which was comparable

298
00:10:48,079 --> 00:10:51,920
with Plaid at the time. Like on day one

299
00:10:50,079 --> 00:10:53,760
we supported 6,000 banks and credit

300
00:10:51,920 --> 00:10:56,079
unions. I think Plaid still claims

301
00:10:53,760 --> 00:10:57,680
around 7,000 or something like that. But

302
00:10:56,079 --> 00:11:00,240
uh yeah at this point we support all of

303
00:10:57,680 --> 00:11:02,480
them. So there's over 14,000 banks and

304
00:11:00,240 --> 00:11:03,920
credit unions in the US and we're the

305
00:11:02,480 --> 00:11:06,160
only ones that support all of them

306
00:11:03,920 --> 00:11:08,320
because it's just too expensive to

307
00:11:06,160 --> 00:11:09,920
support these small connections if you

308
00:11:08,320 --> 00:11:12,000
have technology that requires that you

309
00:11:09,920 --> 00:11:13,760
write code for it. So you know there's a

310
00:11:12,000 --> 00:11:15,600
there's a tiny bank in the Midwest and

311
00:11:13,760 --> 00:11:17,120
it's got like 14 users on it or

312
00:11:15,600 --> 00:11:19,200
something that want to connect, you

313
00:11:17,120 --> 00:11:21,839
know, a particular app. Very hard to

314
00:11:19,200 --> 00:11:24,240
make money writing code specifically for

315
00:11:21,839 --> 00:11:27,040
that. It's just doesn't work out. So

316
00:11:24,240 --> 00:11:29,040
really AI and this is why we decided to

317
00:11:27,040 --> 00:11:30,320
go after AI when it was still unclear

318
00:11:29,040 --> 00:11:32,000
whether it was going to work. I think

319
00:11:30,320 --> 00:11:33,120
now everybody would say oh obviously

320
00:11:32,000 --> 00:11:34,800
that's the right solution to the

321
00:11:33,120 --> 00:11:37,440
problem. But back then it was it was

322
00:11:34,800 --> 00:11:38,959
quite a risk quite a leap. But uh but

323
00:11:37,440 --> 00:11:41,839
yeah it's really the only way to make

324
00:11:38,959 --> 00:11:43,760
money uh or make it at all economical

325
00:11:41,839 --> 00:11:46,079
and also the only way to make it at all

326
00:11:43,760 --> 00:11:47,920
reliable to connect to all those

327
00:11:46,079 --> 00:11:49,279
disparate connections. And that's just

328
00:11:47,920 --> 00:11:51,519
banks and credit unions. At this point,

329
00:11:49,279 --> 00:11:53,200
we support over 60,000 total connections

330
00:11:51,519 --> 00:11:56,560
and we've got a couple dozen data

331
00:11:53,200 --> 00:11:58,240
scientists. Um, when Yodi supported, I

332
00:11:56,560 --> 00:12:00,800
don't know, 5,000 or something, I think

333
00:11:58,240 --> 00:12:02,880
they had 2,000 employees. So, our our uh

334
00:12:00,800 --> 00:12:04,880
our connection to employee ratio is is

335
00:12:02,880 --> 00:12:09,200
pretty good.

336
00:12:04,880 --> 00:12:12,320
>> So, how exactly does AI help here?

337
00:12:09,200 --> 00:12:13,680
>> Yeah. So, so there's basically three,

338
00:12:12,320 --> 00:12:16,079
let's say, approaches that you could

339
00:12:13,680 --> 00:12:18,480
take. Let's say you want to connect to,

340
00:12:16,079 --> 00:12:20,800
you know, Podunk Bank in the Midwest.

341
00:12:18,480 --> 00:12:22,880
You can either call them and ask for

342
00:12:20,800 --> 00:12:24,079
access to an API and if there's an API

343
00:12:22,880 --> 00:12:26,399
and they'll give it to you for free,

344
00:12:24,079 --> 00:12:27,680
then that's that's kind of nice. But the

345
00:12:26,399 --> 00:12:30,480
problem with that is that they're going

346
00:12:27,680 --> 00:12:32,399
to change that API, right? So if you

347
00:12:30,480 --> 00:12:35,120
have a very small number of users, even

348
00:12:32,399 --> 00:12:37,200
an API is like too difficult to

349
00:12:35,120 --> 00:12:39,920
maintain, right? You you can't afford to

350
00:12:37,200 --> 00:12:41,519
put an engineer on that API for even

351
00:12:39,920 --> 00:12:43,200
three hours a year, right? Because you

352
00:12:41,519 --> 00:12:45,440
only have 14 users and you're making

353
00:12:43,200 --> 00:12:47,680
like 10 cents a month per user, right?

354
00:12:45,440 --> 00:12:49,440
So the economics don't work out. But

355
00:12:47,680 --> 00:12:51,279
that is that is one option and that is

356
00:12:49,440 --> 00:12:53,200
the option that everybody thinks oh you

357
00:12:51,279 --> 00:12:55,680
definitely want that until they really

358
00:12:53,200 --> 00:12:58,320
think about the number of you know the

359
00:12:55,680 --> 00:13:00,480
potential connections and how how little

360
00:12:58,320 --> 00:13:02,079
economic value relatively speaking there

361
00:13:00,480 --> 00:13:03,680
is right I mean there might be $10 a

362
00:13:02,079 --> 00:13:06,800
year worth of value connecting to this

363
00:13:03,680 --> 00:13:08,720
tiny little bank individually that that

364
00:13:06,800 --> 00:13:10,560
is not enough money to put an engineer

365
00:13:08,720 --> 00:13:12,720
on the job for 10 minutes right to

366
00:13:10,560 --> 00:13:14,560
connect to that API let alone

367
00:13:12,720 --> 00:13:16,480
>> connect to it and then maintain it but

368
00:13:14,560 --> 00:13:17,680
also it doesn't make sense for them to

369
00:13:16,480 --> 00:13:19,760
do it so they probably haven't even

370
00:13:17,680 --> 00:13:22,880
built the API anyway. So you don't even

371
00:13:19,760 --> 00:13:25,360
have to wonder about the option. Um but

372
00:13:22,880 --> 00:13:27,040
so that's option that's like the what

373
00:13:25,360 --> 00:13:29,600
every engineer would think. Okay, that's

374
00:13:27,040 --> 00:13:31,279
the solution. And then the next solution

375
00:13:29,600 --> 00:13:33,200
would be okay, I guess we're going to

376
00:13:31,279 --> 00:13:35,360
screen scrape it. So, we're going to use

377
00:13:33,200 --> 00:13:38,320
some open- source tools and we're going

378
00:13:35,360 --> 00:13:40,480
to just say, okay, click on this button

379
00:13:38,320 --> 00:13:42,320
or maybe based on the HTML tag or

380
00:13:40,480 --> 00:13:44,320
something, we'll hardcode click on this

381
00:13:42,320 --> 00:13:46,079
button effectively and then put in the

382
00:13:44,320 --> 00:13:47,680
user's password and then log in and then

383
00:13:46,079 --> 00:13:50,160
click here and then copy and paste

384
00:13:47,680 --> 00:13:52,560
essentially this value out. Um, and so

385
00:13:50,160 --> 00:13:54,880
that's how it it I would say most of the

386
00:13:52,560 --> 00:13:57,199
connections like if you connect to a

387
00:13:54,880 --> 00:13:58,959
bank in the US and Canada, chances are

388
00:13:57,199 --> 00:14:01,519
if it's one of the big banks, maybe not,

389
00:13:58,959 --> 00:14:03,279
but uh but if you have uh you know a

390
00:14:01,519 --> 00:14:04,959
midsize bank, there's a really good

391
00:14:03,279 --> 00:14:07,440
chance that what you're connecting to is

392
00:14:04,959 --> 00:14:10,079
doing that. It's still even in 2026,

393
00:14:07,440 --> 00:14:12,240
it's hardcoded, super brittle screen

394
00:14:10,079 --> 00:14:14,880
scraping. And the problem with that is

395
00:14:12,240 --> 00:14:17,440
also if well there's two problems. one

396
00:14:14,880 --> 00:14:19,920
is you can do it without without getting

397
00:14:17,440 --> 00:14:21,839
API access, right? So a new startup and

398
00:14:19,920 --> 00:14:25,360
you want to do home loans or something,

399
00:14:21,839 --> 00:14:26,880
it's a viable option. Whereas an API, if

400
00:14:25,360 --> 00:14:28,560
even if it does exist, they're probably

401
00:14:26,880 --> 00:14:31,279
not going to give you access to it. So

402
00:14:28,560 --> 00:14:33,279
you can make it work, but it is like the

403
00:14:31,279 --> 00:14:35,680
epitome of tech debt, right? Like as

404
00:14:33,279 --> 00:14:37,440
soon as you write that code, uh there

405
00:14:35,680 --> 00:14:38,800
it's just a ticking time bomb before it

406
00:14:37,440 --> 00:14:40,079
breaks and it's probably not going to be

407
00:14:38,800 --> 00:14:42,000
reliable and it's going to be really

408
00:14:40,079 --> 00:14:43,839
slow. And so that was the whole

409
00:14:42,000 --> 00:14:45,600
ecosystem. That was the full spectrum of

410
00:14:43,839 --> 00:14:47,920
technology available to solve this

411
00:14:45,600 --> 00:14:52,240
problem until Softron started in in

412
00:14:47,920 --> 00:14:55,440
2016. And so where AI comes in is

413
00:14:52,240 --> 00:14:57,199
saying, okay, you know, if if we can

414
00:14:55,440 --> 00:14:59,199
have a car that can drive down the road

415
00:14:57,199 --> 00:15:01,199
and it can look at a stop sign and it

416
00:14:59,199 --> 00:15:04,399
could use image recognition and go, hey,

417
00:15:01,199 --> 00:15:06,800
that's a stop sign. Um, why can't we use

418
00:15:04,399 --> 00:15:08,959
uh computer vision and image recognition

419
00:15:06,800 --> 00:15:11,279
to look at the website with human eyes

420
00:15:08,959 --> 00:15:13,600
and say, "Okay, that's a login button."

421
00:15:11,279 --> 00:15:15,120
Right? Um, and the reason that that

422
00:15:13,600 --> 00:15:17,839
works is the same reason it works for

423
00:15:15,120 --> 00:15:19,760
you and me. Because even if they change

424
00:15:17,839 --> 00:15:21,519
thing and move things around and rename

425
00:15:19,760 --> 00:15:23,680
things or whatever, essentially, if a

426
00:15:21,519 --> 00:15:25,199
human can figure it out, then an AI

427
00:15:23,680 --> 00:15:26,720
could probably figure it out when it's a

428
00:15:25,199 --> 00:15:28,480
matter of like finding which button do

429
00:15:26,720 --> 00:15:29,839
you click to log in. So, yeah, that's

430
00:15:28,480 --> 00:15:31,600
that's where AI comes in.

431
00:15:29,839 --> 00:15:34,000
>> This this reminds me of the white

432
00:15:31,600 --> 00:15:37,040
hacker, black hacker type of uh

433
00:15:34,000 --> 00:15:39,680
struggle, push and pull, you know.

434
00:15:37,040 --> 00:15:41,600
>> Yeah. Yeah, it totally is. Yeah. Yeah. A

435
00:15:39,680 --> 00:15:43,120
lot of a lot of the guys at Softron have

436
00:15:41,600 --> 00:15:45,920
always considered themselves like white

437
00:15:43,120 --> 00:15:47,760
hat hackers. So um so it was kind of

438
00:15:45,920 --> 00:15:49,519
inevitable we ended up in some niche

439
00:15:47,760 --> 00:15:51,600
like this once we once we moved from

440
00:15:49,519 --> 00:15:53,920
Microsoft to FinTech

441
00:15:51,600 --> 00:15:58,560
>> and okay so let's talk about like

442
00:15:53,920 --> 00:16:00,160
because you know um the consumer level

443
00:15:58,560 --> 00:16:02,160
wants to know how this type of

444
00:16:00,160 --> 00:16:04,560
technology can benefit them. What can

445
00:16:02,160 --> 00:16:07,040
you realistically do with the technology

446
00:16:04,560 --> 00:16:09,600
that could help myself, my wife and I

447
00:16:07,040 --> 00:16:10,880
who manage a household, the the regular

448
00:16:09,600 --> 00:16:12,800
person who wants to look at their

449
00:16:10,880 --> 00:16:14,639
finances? What what can happen here?

450
00:16:12,800 --> 00:16:16,720
>> Yeah, totally. So, we actually did an

451
00:16:14,639 --> 00:16:18,480
integration with Chad GPT that was super

452
00:16:16,720 --> 00:16:21,040
cool. I don't remember if I sent that to

453
00:16:18,480 --> 00:16:24,240
you or not, but my co-founder connected

454
00:16:21,040 --> 00:16:26,399
Softron to Chad GPT and basically

455
00:16:24,240 --> 00:16:28,720
immediately had like a great financial

456
00:16:26,399 --> 00:16:30,320
adviser because she was able to say

457
00:16:28,720 --> 00:16:32,320
stuff like, "Am I spending more money

458
00:16:30,320 --> 00:16:34,160
than the average person in Seattle? How

459
00:16:32,320 --> 00:16:36,639
am I doing on my finances? Does it seem

460
00:16:34,160 --> 00:16:39,120
like I'm just really lazy? What about

461
00:16:36,639 --> 00:16:41,519
like subscriptions? Like, am I spending

462
00:16:39,120 --> 00:16:43,360
more on the Netflix, the Hulu's, all

463
00:16:41,519 --> 00:16:45,199
that kind of, you know, brain rot

464
00:16:43,360 --> 00:16:47,199
content? Am I spending more on that than

465
00:16:45,199 --> 00:16:49,440
the average person in Seattle or you

466
00:16:47,199 --> 00:16:51,199
know what? Um, and what she ended up

467
00:16:49,440 --> 00:16:52,800
finding out was I mean it it wasn't a

468
00:16:51,199 --> 00:16:54,639
bad thing, but it was interesting. She

469
00:16:52,800 --> 00:16:56,560
found out that she spends something like

470
00:16:54,639 --> 00:16:58,560
seven times more on fruits and

471
00:16:56,560 --> 00:17:00,959
vegetables than the average person in

472
00:16:58,560 --> 00:17:02,399
Seattle in her neighborhood. Um, and you

473
00:17:00,959 --> 00:17:04,400
know, she didn't change that. She was

474
00:17:02,399 --> 00:17:06,640
she was happy with that. Uh, cuz she

475
00:17:04,400 --> 00:17:08,240
thinks that's important. But um, but

476
00:17:06,640 --> 00:17:10,240
that's the sort of stuff that you're not

477
00:17:08,240 --> 00:17:12,559
going to get really without AI, right?

478
00:17:10,240 --> 00:17:14,559
Like those that's just a fun insight.

479
00:17:12,559 --> 00:17:16,480
But if she was spending a lot more on

480
00:17:14,559 --> 00:17:18,720
her cars than the average person at her

481
00:17:16,480 --> 00:17:20,720
income level in in Seattle, it would be

482
00:17:18,720 --> 00:17:23,120
nice for her to know that, right? Or if

483
00:17:20,720 --> 00:17:24,959
she was particularly bad at negotiating,

484
00:17:23,120 --> 00:17:26,640
you know, her home loan and she was

485
00:17:24,959 --> 00:17:27,919
paying way more in interest payments

486
00:17:26,640 --> 00:17:28,720
than the average person in the

487
00:17:27,919 --> 00:17:30,880
neighborhood.

488
00:17:28,720 --> 00:17:32,960
>> It's pretty hard to like I've never had

489
00:17:30,880 --> 00:17:34,240
a financial advisor, you know, or my

490
00:17:32,960 --> 00:17:36,240
accountant look through and give me

491
00:17:34,240 --> 00:17:37,919
those sort of insights because it's like

492
00:17:36,240 --> 00:17:39,120
it's very deep, right? It's like, oh,

493
00:17:37,919 --> 00:17:40,799
what's your monthly payment on your

494
00:17:39,120 --> 00:17:43,840
house? Yeah, that's about right. Right.

495
00:17:40,799 --> 00:17:46,080
But who's going to be like so diligent

496
00:17:43,840 --> 00:17:47,919
to dig through all the way to go? Well,

497
00:17:46,080 --> 00:17:51,200
actually, you know what? You're spending

498
00:17:47,919 --> 00:17:52,880
more on your homeowner's insurance than

499
00:17:51,200 --> 00:17:54,320
than you should. Like, how many

500
00:17:52,880 --> 00:17:56,640
thousands of dollars would you have to

501
00:17:54,320 --> 00:17:58,640
spend to have a a person manually figure

502
00:17:56,640 --> 00:18:00,480
that out for you? Probably more than

503
00:17:58,640 --> 00:18:02,720
you're you're overspending on homeowners

504
00:18:00,480 --> 00:18:05,039
insurance, right? But AI can dig through

505
00:18:02,720 --> 00:18:06,799
that and find those really obscure

506
00:18:05,039 --> 00:18:08,080
little tidbits that, you know, if

507
00:18:06,799 --> 00:18:09,200
nothing else, it gives you peace of mind

508
00:18:08,080 --> 00:18:11,039
that you're not doing anything

509
00:18:09,200 --> 00:18:13,440
irresponsible.

510
00:18:11,039 --> 00:18:15,360
This reminds me of like you hire an

511
00:18:13,440 --> 00:18:18,799
accountant, you hire a financial

512
00:18:15,360 --> 00:18:21,440
advisor. If they got together, sat in a

513
00:18:18,799 --> 00:18:23,039
room for a day or two, and they came

514
00:18:21,440 --> 00:18:24,480
back with recommendations, this is what

515
00:18:23,039 --> 00:18:26,320
you're explaining pretty much.

516
00:18:24,480 --> 00:18:27,760
>> Right. Right. But it would take them

517
00:18:26,320 --> 00:18:29,760
weeks, right? They would they would have

518
00:18:27,760 --> 00:18:32,559
to like really go through all of your

519
00:18:29,760 --> 00:18:34,320
stuff. But after they had gone through a

520
00:18:32,559 --> 00:18:36,400
bunch of other people's stuff, like your

521
00:18:34,320 --> 00:18:39,120
your accountant off the top of his head

522
00:18:36,400 --> 00:18:42,880
does not know what the average person

523
00:18:39,120 --> 00:18:44,320
that makes, you know, 350,000 a year in

524
00:18:42,880 --> 00:18:45,919
this particular neighborhood of

525
00:18:44,320 --> 00:18:47,280
Belleview is spending on homeowners

526
00:18:45,919 --> 00:18:50,640
insurance. He just doesn't have that

527
00:18:47,280 --> 00:18:53,360
data to begin with. Like that's why AI

528
00:18:50,640 --> 00:18:55,280
is so cool. Like there is a lot of

529
00:18:53,360 --> 00:18:58,240
reasonable fear, I think. like it's it's

530
00:18:55,280 --> 00:19:00,160
a very cool technology and it's it's

531
00:18:58,240 --> 00:19:02,559
important and so you are going to have

532
00:19:00,160 --> 00:19:04,480
like the leite sort of response but I

533
00:19:02,559 --> 00:19:07,120
think I think it's really easy to forget

534
00:19:04,480 --> 00:19:09,600
like the universe is really only created

535
00:19:07,120 --> 00:19:12,720
with like ideas and atoms right and

536
00:19:09,600 --> 00:19:14,640
we're constantly so short on ideas right

537
00:19:12,720 --> 00:19:16,720
your kid starts getting sick he has a

538
00:19:14,640 --> 00:19:19,440
fever you're like basically just

539
00:19:16,720 --> 00:19:21,520
starving to death of data all the time

540
00:19:19,440 --> 00:19:23,520
even in 2026 even with the internet and

541
00:19:21,520 --> 00:19:25,840
all that like that is a really cool

542
00:19:23,520 --> 00:19:27,280
problem that AI and I can solve. We we

543
00:19:25,840 --> 00:19:28,960
you know, we'll still be starving to

544
00:19:27,280 --> 00:19:31,760
death of data, you know, when we're on

545
00:19:28,960 --> 00:19:33,520
Mars because if you if if you were

546
00:19:31,760 --> 00:19:35,200
omnipotent, right, you would have all of

547
00:19:33,520 --> 00:19:38,240
the problem solved. So, it's not going

548
00:19:35,200 --> 00:19:40,400
to go away. But, but being able to be 10

549
00:19:38,240 --> 00:19:43,039
times or 100 times or a thousand times

550
00:19:40,400 --> 00:19:45,840
more data rich in your life and

551
00:19:43,039 --> 00:19:47,600
decision-m is a it's a freaking amazing

552
00:19:45,840 --> 00:19:49,520
superpower. Like, it's definitely going

553
00:19:47,600 --> 00:19:51,600
to be good.

554
00:19:49,520 --> 00:19:55,120
>> So, let's let's say a benefit out of

555
00:19:51,600 --> 00:19:57,919
this was your partner. You you said that

556
00:19:55,120 --> 00:19:59,840
she knew knows that she spends what

557
00:19:57,919 --> 00:20:01,600
three to five times more on fruit.

558
00:19:59,840 --> 00:20:03,679
>> I think it was like seven times. It was

559
00:20:01,600 --> 00:20:05,200
like seven times more than the And it

560
00:20:03,679 --> 00:20:07,919
was it was cool cuz it wasn't just she

561
00:20:05,200 --> 00:20:10,000
spends seven times more. It was like for

562
00:20:07,919 --> 00:20:11,600
her neighborhood, right? Because you

563
00:20:10,000 --> 00:20:13,200
know if you're like, you know, if you're

564
00:20:11,600 --> 00:20:14,720
a trucker or something, you're probably

565
00:20:13,200 --> 00:20:16,480
not eating very well. You're not

566
00:20:14,720 --> 00:20:18,640
spending spending a lot on fruits and

567
00:20:16,480 --> 00:20:20,240
vegetables, right? But if you're, you

568
00:20:18,640 --> 00:20:21,840
know, if you work for like Amazon or

569
00:20:20,240 --> 00:20:24,640
something and you're in like some posh

570
00:20:21,840 --> 00:20:26,559
neighborhood, that's the like that's the

571
00:20:24,640 --> 00:20:28,799
level of fidelity that you really need

572
00:20:26,559 --> 00:20:30,559
for it to be at all interesting, right?

573
00:20:28,799 --> 00:20:32,559
Like, are you overweight? Well, am I

574
00:20:30,559 --> 00:20:35,360
overweight for what? For somebody that,

575
00:20:32,559 --> 00:20:37,039
you know, is a uh is a, you know,

576
00:20:35,360 --> 00:20:39,600
55year-old

577
00:20:37,039 --> 00:20:42,080
man that's a trucker that, you know,

578
00:20:39,600 --> 00:20:44,720
works in like, you know, Chicago or

579
00:20:42,080 --> 00:20:46,240
something like that. That is a gonna be

580
00:20:44,720 --> 00:20:48,480
a totally different answer than if

581
00:20:46,240 --> 00:20:50,720
you're like, you know, like in Spain or

582
00:20:48,480 --> 00:20:53,280
something and you're like a 22-year-old,

583
00:20:50,720 --> 00:20:55,520
uh, you know, that surfs every day like

584
00:20:53,280 --> 00:20:57,200
all the context, which is data, right,

585
00:20:55,520 --> 00:20:58,880
is really important to any question that

586
00:20:57,200 --> 00:21:01,679
you ask.

587
00:20:58,880 --> 00:21:04,240
>> Well, so my my entrepreneurial mind is

588
00:21:01,679 --> 00:21:06,480
going and it's like, well, if I knew

589
00:21:04,240 --> 00:21:08,960
that there was a cluster of people that

590
00:21:06,480 --> 00:21:10,960
se spend seven times more on fruit and

591
00:21:08,960 --> 00:21:11,600
vegetables in a certain area, that could

592
00:21:10,960 --> 00:21:13,520
be useful.

593
00:21:11,600 --> 00:21:14,880
>> Very interesting. That's very

594
00:21:13,520 --> 00:21:17,440
interesting. I hadn't even thought of

595
00:21:14,880 --> 00:21:19,600
that. But yeah, absolutely. Like if you

596
00:21:17,440 --> 00:21:22,880
could find if you could find like 10,000

597
00:21:19,600 --> 00:21:25,679
of my co-founders around the country and

598
00:21:22,880 --> 00:21:28,320
say, "Hey, you are a fruit freak." Like

599
00:21:25,679 --> 00:21:28,720
I I service fruit freaks.

600
00:21:28,320 --> 00:21:29,280
>> Yeah.

601
00:21:28,720 --> 00:21:32,080
>> You know,

602
00:21:29,280 --> 00:21:34,320
>> and open up, you know, a an organic

603
00:21:32,080 --> 00:21:36,400
fruit stand and vegetable stand right

604
00:21:34,320 --> 00:21:36,880
next to their Well, you're all

605
00:21:36,400 --> 00:21:38,400
distributing.

606
00:21:36,880 --> 00:21:40,159
>> Yeah. You you can get her to sign up for

607
00:21:38,400 --> 00:21:41,760
a subscription that nobody else would

608
00:21:40,159 --> 00:21:44,320
sign up for, right? like two crates a

609
00:21:41,760 --> 00:21:46,960
day or something or subscription.

610
00:21:44,320 --> 00:21:47,280
>> Yeah, that's a really good point, man.

611
00:21:46,960 --> 00:21:50,400
>> Yeah.

612
00:21:47,280 --> 00:21:51,919
>> And speaking of being distributed, you

613
00:21:50,400 --> 00:21:53,520
the last time I talked to you, you you

614
00:21:51,919 --> 00:21:55,280
guys were based out of Netherlands. Is

615
00:21:53,520 --> 00:21:58,000
that still true?

616
00:21:55,280 --> 00:22:00,640
>> Yeah. So, our our whole team is pretty

617
00:21:58,000 --> 00:22:02,400
scattered. Um, so we were all the last

618
00:22:00,640 --> 00:22:07,280
time we were all together was probably

619
00:22:02,400 --> 00:22:11,200
in like 20 2012. Um,

620
00:22:07,280 --> 00:22:13,120
oh wow. Yeah. Like 14 years ago. Um, and

621
00:22:11,200 --> 00:22:15,919
that's when we were all at Microsoft at

622
00:22:13,120 --> 00:22:18,640
the Microsoft campus. Um, and so after

623
00:22:15,919 --> 00:22:20,240
that, uh, after that a lot of us, you

624
00:22:18,640 --> 00:22:22,640
know, there there were folks from like

625
00:22:20,240 --> 00:22:24,720
Australia, New Zealand. Um, we ended up

626
00:22:22,640 --> 00:22:26,720
selling the company to a New Zealand

627
00:22:24,720 --> 00:22:29,120
company and so some folks moved there.

628
00:22:26,720 --> 00:22:31,200
Um, and then uh, yeah, so we we've kind

629
00:22:29,120 --> 00:22:32,640
of we're all over the place now. But

630
00:22:31,200 --> 00:22:35,039
yeah, I think we were pretty early on

631
00:22:32,640 --> 00:22:37,120
the remote work thing. you know, 2014,

632
00:22:35,039 --> 00:22:39,600
you know, way before CO, it it just made

633
00:22:37,120 --> 00:22:41,840
a lot of sense to us when I was running

634
00:22:39,600 --> 00:22:44,000
the team in San Francisco, you know, we

635
00:22:41,840 --> 00:22:45,840
had, I don't know, 150 engineers or

636
00:22:44,000 --> 00:22:48,080
something that reported up to me. I had

637
00:22:45,840 --> 00:22:50,320
people that would spend 3 or 4 hours

638
00:22:48,080 --> 00:22:53,039
each direction in their car. Uh, and it

639
00:22:50,320 --> 00:22:54,960
made no sense. I mean, I think I think

640
00:22:53,039 --> 00:22:58,080
maybe the record was like 6 hours a day

641
00:22:54,960 --> 00:22:59,840
of commute time. And I was spending

642
00:22:58,080 --> 00:23:01,679
I was in Seattle before this and had

643
00:22:59,840 --> 00:23:03,600
like no commute, right? because I lived

644
00:23:01,679 --> 00:23:05,360
in in Kirkland and I drove to Redmond.

645
00:23:03,600 --> 00:23:07,760
It was like very very short, like 20

646
00:23:05,360 --> 00:23:10,000
minutes, but I think my commute was like

647
00:23:07,760 --> 00:23:12,960
on average two hours when I was in the

648
00:23:10,000 --> 00:23:14,480
Bay Area and I, you know, had a super

649
00:23:12,960 --> 00:23:17,440
short commute compared to a lot of

650
00:23:14,480 --> 00:23:19,520
people. So, yeah. So we we were already

651
00:23:17,440 --> 00:23:21,760
remote, but when we got acquired, it was

652
00:23:19,520 --> 00:23:23,600
such a stark difference between kind of

653
00:23:21,760 --> 00:23:26,640
the old school way of doing business and

654
00:23:23,600 --> 00:23:28,720
the amount of insane waste in that and

655
00:23:26,640 --> 00:23:30,799
then our team that was remote and just

656
00:23:28,720 --> 00:23:33,600
able to, you know, crank and focus for

657
00:23:30,799 --> 00:23:35,679
8, 10, 14 hours a day and not not be

658
00:23:33,600 --> 00:23:37,280
bothered.

659
00:23:35,679 --> 00:23:38,880
Yeah, it's it really comes to a point

660
00:23:37,280 --> 00:23:41,919
that when you're actually delivering

661
00:23:38,880 --> 00:23:44,000
work that it becomes a productivity hack

662
00:23:41,919 --> 00:23:46,559
to be in somewhere that's very

663
00:23:44,000 --> 00:23:48,799
comfortable to you and and uh your

664
00:23:46,559 --> 00:23:51,280
lifestyle with your family and

665
00:23:48,799 --> 00:23:52,640
>> you know you can deliver a lot better in

666
00:23:51,280 --> 00:23:54,880
that way.

667
00:23:52,640 --> 00:23:56,320
>> Yeah. Yeah. I mean I think the argument

668
00:23:54,880 --> 00:23:58,080
has always been that this doesn't work

669
00:23:56,320 --> 00:24:00,559
for everybody, right? And you need some

670
00:23:58,080 --> 00:24:02,159
people that are um that are only

671
00:24:00,559 --> 00:24:04,480
motivated when they're in an office

672
00:24:02,159 --> 00:24:06,480
around other people. But I don't I don't

673
00:24:04,480 --> 00:24:07,919
really think that's true. I think that I

674
00:24:06,480 --> 00:24:09,679
think those guys that don't do any work

675
00:24:07,919 --> 00:24:11,360
when they're at home also don't do any

676
00:24:09,679 --> 00:24:12,880
work in the office. It's just much

677
00:24:11,360 --> 00:24:15,120
easier to make it look like you're doing

678
00:24:12,880 --> 00:24:16,640
work in the office. Like you stand up,

679
00:24:15,120 --> 00:24:18,400
you stretch, you have a meeting, you go

680
00:24:16,640 --> 00:24:20,559
grab some coffee. Like we we all know

681
00:24:18,400 --> 00:24:23,279
people that can do that for 40 hours a

682
00:24:20,559 --> 00:24:24,640
week and and work for like seven. So I

683
00:24:23,279 --> 00:24:26,159
don't [clears throat] know. A lot of it

684
00:24:24,640 --> 00:24:28,640
was weird watching everybody kind of

685
00:24:26,159 --> 00:24:30,400
realize how stupid it was to commute if

686
00:24:28,640 --> 00:24:32,400
you have a white collar job. I would

687
00:24:30,400 --> 00:24:33,840
take my laptop and I know a lot I know

688
00:24:32,400 --> 00:24:36,080
everybody can relate with this, right?

689
00:24:33,840 --> 00:24:38,559
You like you pick your laptop up off of

690
00:24:36,080 --> 00:24:40,799
your desk, you jump on you jump in a

691
00:24:38,559 --> 00:24:42,480
car, you jump in the train, you jump,

692
00:24:40,799 --> 00:24:44,000
you know, you walk for a few blocks in

693
00:24:42,480 --> 00:24:46,960
the financial district in the Bay Area

694
00:24:44,000 --> 00:24:48,960
or whatever, you work and then you grab

695
00:24:46,960 --> 00:24:50,320
your like you sit your laptop on the

696
00:24:48,960 --> 00:24:51,360
desk, you work on it, then you pick it

697
00:24:50,320 --> 00:24:52,960
up at the end of the day and you bring

698
00:24:51,360 --> 00:24:55,360
it home and you put it back on your

699
00:24:52,960 --> 00:24:56,960
desk. It's like, wait a minute. I all of

700
00:24:55,360 --> 00:24:59,919
my interactions, even when I'm in the

701
00:24:56,960 --> 00:25:01,679
office, uh, were almost all online,

702
00:24:59,919 --> 00:25:04,320
right? So, it really didn't make any

703
00:25:01,679 --> 00:25:06,159
sense at all. And it was weird to see co

704
00:25:04,320 --> 00:25:08,320
hit and then everybody have a lot of the

705
00:25:06,159 --> 00:25:10,559
same realizations. But what was really

706
00:25:08,320 --> 00:25:11,919
weird was seeing it flip back where

707
00:25:10,559 --> 00:25:13,679
everybody's like, "Oh, now we got to be

708
00:25:11,919 --> 00:25:15,440
in the office." Like Google had this

709
00:25:13,679 --> 00:25:17,360
revelation that you needed to be back in

710
00:25:15,440 --> 00:25:20,159
the office. It it definitely makes me

711
00:25:17,360 --> 00:25:22,559
wonder how much of our economy is fake

712
00:25:20,159 --> 00:25:24,480
daycare for adults, right? uh where we

713
00:25:22,559 --> 00:25:26,240
know a lot of people aren't working, but

714
00:25:24,480 --> 00:25:27,919
there's there's some kind of Ponzi or

715
00:25:26,240 --> 00:25:29,200
something that's driving this or you

716
00:25:27,919 --> 00:25:31,760
have to have a certain number of people

717
00:25:29,200 --> 00:25:33,120
or uh I I I don't know what the story

718
00:25:31,760 --> 00:25:34,240
is, but it's definitely not about

719
00:25:33,120 --> 00:25:36,720
productivity.

720
00:25:34,240 --> 00:25:40,080
>> Well, there's also the part where the

721
00:25:36,720 --> 00:25:41,760
the commercial office owners need to

722
00:25:40,080 --> 00:25:43,760
have their offices filled because that's

723
00:25:41,760 --> 00:25:45,840
an issue over here in Ontario, Canada.

724
00:25:43,760 --> 00:25:48,000
You know, they mandated people back to

725
00:25:45,840 --> 00:25:49,919
office because of this reason. It's it's

726
00:25:48,000 --> 00:25:51,679
interesting. So, who who's working for

727
00:25:49,919 --> 00:25:53,679
who here, right?

728
00:25:51,679 --> 00:25:56,720
Yeah. Yeah. Exactly. That's very

729
00:25:53,679 --> 00:25:58,240
dystopian. Like your your your uh what's

730
00:25:56,720 --> 00:26:00,159
your purpose in life? It's to make sure

731
00:25:58,240 --> 00:26:01,840
that this office is full. Why do we need

732
00:26:00,159 --> 00:26:03,760
the office full? Cuz because our whole

733
00:26:01,840 --> 00:26:04,880
economy is tied up in this thing. It's

734
00:26:03,760 --> 00:26:08,159
pretty

735
00:26:04,880 --> 00:26:10,799
>> Yeah. But I do I do see the benefit like

736
00:26:08,159 --> 00:26:12,480
with everything going AI with everything

737
00:26:10,799 --> 00:26:15,679
going digital and has been going

738
00:26:12,480 --> 00:26:18,480
digital. There's this like there's this

739
00:26:15,679 --> 00:26:20,400
theory that I have and observation that

740
00:26:18,480 --> 00:26:22,159
I've had. It's like a lot of people want

741
00:26:20,400 --> 00:26:24,880
to do more stuff in real life. That

742
00:26:22,159 --> 00:26:27,520
happened after co but I that's going to

743
00:26:24,880 --> 00:26:30,960
accelerate even more with with AI. It's

744
00:26:27,520 --> 00:26:33,919
like people are just fed up with

745
00:26:30,960 --> 00:26:36,400
>> I guess digitization in a way. Do you

746
00:26:33,919 --> 00:26:39,440
feel that at all?

747
00:26:36,400 --> 00:26:42,240
>> Not really. I I think what we did is

748
00:26:39,440 --> 00:26:44,320
pretty unique too in that like you know

749
00:26:42,240 --> 00:26:46,080
I had friends and family and then I had

750
00:26:44,320 --> 00:26:48,320
work people and I really like the work

751
00:26:46,080 --> 00:26:50,000
people right like I have my co-founder

752
00:26:48,320 --> 00:26:51,440
and I have known each other for like 20

753
00:26:50,000 --> 00:26:53,360
years now we have a really great

754
00:26:51,440 --> 00:26:55,760
relationship we understand each other

755
00:26:53,360 --> 00:26:57,360
and respect each other but we don't have

756
00:26:55,760 --> 00:27:00,880
to get together in person all the time

757
00:26:57,360 --> 00:27:03,200
because we we we have our own spouses

758
00:27:00,880 --> 00:27:05,279
like like we don't we don't we don't

759
00:27:03,200 --> 00:27:06,799
have a lot of time that we spend

760
00:27:05,279 --> 00:27:08,480
together just talking about our feelings

761
00:27:06,799 --> 00:27:10,400
ings or you know how stressful the

762
00:27:08,480 --> 00:27:12,799
situation is, we just freaking work.

763
00:27:10,400 --> 00:27:14,640
Like I've got work to deliver and she

764
00:27:12,799 --> 00:27:16,400
wants to know how it how it's going.

765
00:27:14,640 --> 00:27:17,520
She's got work. I want to know how it's

766
00:27:16,400 --> 00:27:19,440
going. And

767
00:27:17,520 --> 00:27:20,960
>> and then when we have extra time, we

768
00:27:19,440 --> 00:27:23,039
want to spend it with our kids, right?

769
00:27:20,960 --> 00:27:24,640
Like I I want to spend it with my kids.

770
00:27:23,039 --> 00:27:25,440
She wants to spend it with her kid, her

771
00:27:24,640 --> 00:27:27,039
husband.

772
00:27:25,440 --> 00:27:28,799
>> And it just seems to work really well

773
00:27:27,039 --> 00:27:30,559
like that. And and that's the kind of

774
00:27:28,799 --> 00:27:32,159
like there's there's other people in the

775
00:27:30,559 --> 00:27:33,679
company. I'll go for months and not talk

776
00:27:32,159 --> 00:27:35,600
to them. But but they know I care about

777
00:27:33,679 --> 00:27:37,440
them. like I've I've worked really hard

778
00:27:35,600 --> 00:27:39,039
to help them be successful in their

779
00:27:37,440 --> 00:27:40,559
careers, but I don't need to I don't

780
00:27:39,039 --> 00:27:42,559
need to get like that emotional

781
00:27:40,559 --> 00:27:45,760
connection online, you know, with

782
00:27:42,559 --> 00:27:47,600
somebody that's in in New Zealand

783
00:27:45,760 --> 00:27:49,440
because I'm I'm surrounded by like

784
00:27:47,600 --> 00:27:50,960
friends and family that that are

785
00:27:49,440 --> 00:27:53,200
separate from work. And I think that's

786
00:27:50,960 --> 00:27:54,880
kind of a healthy a healthy situation. I

787
00:27:53,200 --> 00:27:56,960
I mean, I do have kids that I work with

788
00:27:54,880 --> 00:27:58,480
now that are all software engineers. And

789
00:27:56,960 --> 00:28:00,080
so that's cool, too. I mean, it's nice

790
00:27:58,480 --> 00:28:01,760
to have that, but I think I don't think

791
00:28:00,080 --> 00:28:04,320
you have to get it all from the same

792
00:28:01,760 --> 00:28:07,039
place. And I think work can be highly

793
00:28:04,320 --> 00:28:08,880
remote, highly highly optimized for just

794
00:28:07,039 --> 00:28:11,520
just deliverables.

795
00:28:08,880 --> 00:28:13,919
>> I I think your company is probably an

796
00:28:11,520 --> 00:28:16,080
exceptional company in in that regard

797
00:28:13,919 --> 00:28:18,480
where highly performant. The

798
00:28:16,080 --> 00:28:20,960
expectations are probably laid out very

799
00:28:18,480 --> 00:28:23,440
clearly and uh you guys just deliver and

800
00:28:20,960 --> 00:28:26,480
and that's that's how I would run a

801
00:28:23,440 --> 00:28:29,200
company. So So kudos on that.

802
00:28:26,480 --> 00:28:30,799
>> Yeah, it's I mean it is more fun too. I

803
00:28:29,200 --> 00:28:32,640
really hated like one of the things that

804
00:28:30,799 --> 00:28:33,919
I really hated about Microsoft there was

805
00:28:32,640 --> 00:28:35,760
a ton of things that I loved about it.

806
00:28:33,919 --> 00:28:37,760
It was a super cool company back then. I

807
00:28:35,760 --> 00:28:41,279
don't think it's as cool as it was, you

808
00:28:37,760 --> 00:28:43,679
know, in uh in 2015, but you still had

809
00:28:41,279 --> 00:28:46,159
people that were like they were just

810
00:28:43,679 --> 00:28:48,720
tired or they had worked like we we had

811
00:28:46,159 --> 00:28:50,159
this thing called uh war room. Um

812
00:28:48,720 --> 00:28:51,679
basically everybody in the company was

813
00:28:50,159 --> 00:28:53,440
afraid to go to it because it was so

814
00:28:51,679 --> 00:28:55,279
stressful. It was like 20 people in the

815
00:28:53,440 --> 00:28:56,880
room and we just made all the decisions

816
00:28:55,279 --> 00:28:59,440
about what was going to go in Windows

817
00:28:56,880 --> 00:29:02,159
and what wasn't. And so if you had a bug

818
00:28:59,440 --> 00:29:03,200
or you had a feature that had a bug, you

819
00:29:02,159 --> 00:29:04,960
could have been working on that thing

820
00:29:03,200 --> 00:29:07,840
for like two or three or four or five

821
00:29:04,960 --> 00:29:10,080
years and show up to Warroom Room and

822
00:29:07,840 --> 00:29:11,120
they would say, "Sorry, it's not going

823
00:29:10,080 --> 00:29:12,559
in this release." And you'd be like,

824
00:29:11,120 --> 00:29:14,640
"All right, well, I I guess I'm not

825
00:29:12,559 --> 00:29:17,440
getting into Windows XP. Maybe I can get

826
00:29:14,640 --> 00:29:19,120
in in 4 years." So very intense and

827
00:29:17,440 --> 00:29:20,960
stressful and lots of real-time

828
00:29:19,120 --> 00:29:22,720
decisions being made. And I mean, there

829
00:29:20,960 --> 00:29:24,720
were people that worked there that once

830
00:29:22,720 --> 00:29:26,320
we did release something like Windows,

831
00:29:24,720 --> 00:29:28,880
like they were just burned out. like

832
00:29:26,320 --> 00:29:31,279
they needed like months to recover from

833
00:29:28,880 --> 00:29:32,799
the stress and and a lot of times they

834
00:29:31,279 --> 00:29:34,320
would still have to show up, you know,

835
00:29:32,799 --> 00:29:35,440
and be seen around the coffee room, but

836
00:29:34,320 --> 00:29:36,960
it was kind of understood. You're not

837
00:29:35,440 --> 00:29:38,320
getting any work out of that guy cuz we

838
00:29:36,960 --> 00:29:40,240
almost killed him, right? Like give him

839
00:29:38,320 --> 00:29:41,600
a few months to recover, you know, at

840
00:29:40,240 --> 00:29:43,440
least.

841
00:29:41,600 --> 00:29:46,159
>> And it's just that that sort of stuff is

842
00:29:43,440 --> 00:29:48,240
really annoying. Like like let the guy

843
00:29:46,159 --> 00:29:49,919
stay home and focus on his kids for a

844
00:29:48,240 --> 00:29:52,159
while. Like he's earned it. But you

845
00:29:49,919 --> 00:29:54,240
still have to like put in uh you know

846
00:29:52,159 --> 00:29:56,559
the the facetime in the office and it's

847
00:29:54,240 --> 00:29:58,960
just it's just totally pointless. So I

848
00:29:56,559 --> 00:30:01,039
think a lot of that stuff is like boomer

849
00:29:58,960 --> 00:30:03,279
World War II generation sort of

850
00:30:01,039 --> 00:30:05,760
formality that it's just taking us a

851
00:30:03,279 --> 00:30:07,840
long time to cut loose. Uh but I don't

852
00:30:05,760 --> 00:30:09,600
think you know nobody thinks in 200

853
00:30:07,840 --> 00:30:11,120
years people are going to be like you

854
00:30:09,600 --> 00:30:14,480
know commuting in the office just to

855
00:30:11,120 --> 00:30:16,159
have facetime and and uh um and you know

856
00:30:14,480 --> 00:30:18,480
when they clearly don't have the energy

857
00:30:16,159 --> 00:30:21,440
to do any real work anyway.

858
00:30:18,480 --> 00:30:24,159
>> Okay. So let's say for real work, real

859
00:30:21,440 --> 00:30:25,760
productivity, this model works. What

860
00:30:24,159 --> 00:30:28,240
about and I'm just going to flip it over

861
00:30:25,760 --> 00:30:30,880
to like where people make connections

862
00:30:28,240 --> 00:30:33,360
and you know I'm in bisdev and sales and

863
00:30:30,880 --> 00:30:35,120
I get that I get that sort of you know

864
00:30:33,360 --> 00:30:37,279
you can't really do that over the

865
00:30:35,120 --> 00:30:40,880
internet as much as you could do going

866
00:30:37,279 --> 00:30:43,039
to a event or or serendipitously

867
00:30:40,880 --> 00:30:47,039
meeting somebody that becomes a business

868
00:30:43,039 --> 00:30:48,640
partner at an event and meetup. Um I and

869
00:30:47,039 --> 00:30:49,840
I think that I don't think that part is

870
00:30:48,640 --> 00:30:51,760
going to go away. You need to shake

871
00:30:49,840 --> 00:30:54,159
hands. You need to talk to people. You

872
00:30:51,760 --> 00:30:56,000
need to attend events. And I do see that

873
00:30:54,159 --> 00:30:57,600
totally go away still going. There's a

874
00:30:56,000 --> 00:31:00,080
lot

875
00:30:57,600 --> 00:31:01,440
>> No, you really

876
00:31:00,080 --> 00:31:03,200
>> Not only do I think it's going to go

877
00:31:01,440 --> 00:31:06,880
away, I think like that whole career

878
00:31:03,200 --> 00:31:09,600
field of sales and marketing is fake and

879
00:31:06,880 --> 00:31:12,000
it existed for a short period of time in

880
00:31:09,600 --> 00:31:13,840
history where we had a lot of products

881
00:31:12,000 --> 00:31:16,640
and we just had terrible communication

882
00:31:13,840 --> 00:31:18,720
mediums. And so, you know, a big chunk

883
00:31:16,640 --> 00:31:21,440
of Microsoft, for example, was

884
00:31:18,720 --> 00:31:23,440
enterprise sales guys. Um, and you think

885
00:31:21,440 --> 00:31:25,039
about the absurdity of this. Like, we

886
00:31:23,440 --> 00:31:27,200
had a lot of people at Microsoft that

887
00:31:25,039 --> 00:31:30,399
would just go to other companies and try

888
00:31:27,200 --> 00:31:32,159
to sell them Windows. What? Like maybe

889
00:31:30,399 --> 00:31:34,399
maybe in the early days of Microsoft

890
00:31:32,159 --> 00:31:36,880
that made sense. And it it was necessary

891
00:31:34,399 --> 00:31:38,880
because of the momentum, right? This is

892
00:31:36,880 --> 00:31:40,880
how people did procurement. This is how

893
00:31:38,880 --> 00:31:42,399
people bought services. They decided

894
00:31:40,880 --> 00:31:45,120
whether they were going to buy 10,000

895
00:31:42,399 --> 00:31:46,880
Windows PCs based on the glint in the

896
00:31:45,120 --> 00:31:48,960
eye of the sales guy that talked to them

897
00:31:46,880 --> 00:31:52,159
and whether he had a firm handshake.

898
00:31:48,960 --> 00:31:53,600
It's totally ridiculous. And anybody I

899
00:31:52,159 --> 00:31:55,840
would say that's in sales and marketing

900
00:31:53,600 --> 00:31:58,640
right now is just they're they're just

901
00:31:55,840 --> 00:32:01,039
in a dying industry and AI is going to

902
00:31:58,640 --> 00:32:03,279
completely eliminate your function. Your

903
00:32:01,039 --> 00:32:05,120
whole job is just to communicate from

904
00:32:03,279 --> 00:32:07,679
the product team what's good about this

905
00:32:05,120 --> 00:32:10,000
product to a customer why they should

906
00:32:07,679 --> 00:32:11,919
want the product. You're totally

907
00:32:10,000 --> 00:32:14,080
automated out of a job already. You just

908
00:32:11,919 --> 00:32:15,919
don't know it yet. Because if I'm

909
00:32:14,080 --> 00:32:18,080
looking for a car or I'm looking for a

910
00:32:15,919 --> 00:32:20,799
SAS product or I'm looking for whatever.

911
00:32:18,080 --> 00:32:24,159
I'm gonna ask Chat Jippy or I'm going to

912
00:32:20,799 --> 00:32:26,399
ask Grock or I'm going to ask Anthropic,

913
00:32:24,159 --> 00:32:28,000
right? I'm not I'm probably not going to

914
00:32:26,399 --> 00:32:30,799
go to a conference and walk around

915
00:32:28,000 --> 00:32:32,559
booths and hopefully fall in love with a

916
00:32:30,799 --> 00:32:33,440
sales guy that convinces me that this is

917
00:32:32,559 --> 00:32:35,600
great.

918
00:32:33,440 --> 00:32:37,120
>> And I I spent a lot of my career in

919
00:32:35,600 --> 00:32:39,760
sales.

920
00:32:37,120 --> 00:32:41,600
>> Okay. I I I I really do love this

921
00:32:39,760 --> 00:32:43,919
conversation. It's it's giving me food

922
00:32:41,600 --> 00:32:46,080
for thought and uh I love your

923
00:32:43,919 --> 00:32:48,320
perspective because it it's challenging

924
00:32:46,080 --> 00:32:50,559
and uh talk talk more about like why do

925
00:32:48,320 --> 00:32:53,440
you think events would go away? Like why

926
00:32:50,559 --> 00:32:55,679
let's say there was a financial data

927
00:32:53,440 --> 00:32:56,240
event that was happening in Las Vegas.

928
00:32:55,679 --> 00:32:58,399
Why would you

929
00:32:56,240 --> 00:33:00,480
>> Yeah. Like money 2020 like let's say

930
00:32:58,399 --> 00:33:02,000
that I'm a stockholder in money 2020

931
00:33:00,480 --> 00:33:03,919
right now, right? Or like I'm one of the

932
00:33:02,000 --> 00:33:06,240
founders of that thing.

933
00:33:03,919 --> 00:33:09,120
We we've gone to money 2020 a few times

934
00:33:06,240 --> 00:33:11,039
and I think there is value in there has

935
00:33:09,120 --> 00:33:12,640
been value in going to that. But if you

936
00:33:11,039 --> 00:33:15,919
actually just step back and think about

937
00:33:12,640 --> 00:33:17,919
what this is, um you're physically going

938
00:33:15,919 --> 00:33:19,519
to a place and like walking around this

939
00:33:17,919 --> 00:33:21,760
hall, right? You're walking around this

940
00:33:19,519 --> 00:33:25,519
big huge room with all these companies

941
00:33:21,760 --> 00:33:28,240
that set up booths. And this is a system

942
00:33:25,519 --> 00:33:29,679
that worked and started with mostly

943
00:33:28,240 --> 00:33:31,840
physical products, right? these

944
00:33:29,679 --> 00:33:34,000
conferences and stuff like mostly

945
00:33:31,840 --> 00:33:35,840
physical things and mostly before the

946
00:33:34,000 --> 00:33:38,399
internet existed, right? So, this is

947
00:33:35,840 --> 00:33:40,240
clearly like a legacy mode of operating

948
00:33:38,399 --> 00:33:41,840
and and connecting with people. And you

949
00:33:40,240 --> 00:33:43,840
think about the money that goes into

950
00:33:41,840 --> 00:33:46,960
that, right? Like a lot of lot of the

951
00:33:43,840 --> 00:33:48,960
money that you spend being there as a

952
00:33:46,960 --> 00:33:51,120
conference company, right? It's

953
00:33:48,960 --> 00:33:53,679
basically like it's proof of bling,

954
00:33:51,120 --> 00:33:55,600
right? Like if you spent $2 million and

955
00:33:53,679 --> 00:33:57,519
it's not hard to spend $2 million at one

956
00:33:55,600 --> 00:33:59,279
of these these conferences like a money

957
00:33:57,519 --> 00:34:01,039
2020 if you get the right corner and all

958
00:33:59,279 --> 00:34:03,039
of that you could spend that and you

959
00:34:01,039 --> 00:34:04,559
probably have 20 employees there for the

960
00:34:03,039 --> 00:34:06,640
whole time, right? So you're talking

961
00:34:04,559 --> 00:34:08,159
about, you know, no question you're

962
00:34:06,640 --> 00:34:10,159
spending seven figures on this sort of

963
00:34:08,159 --> 00:34:12,320
thing. And a lot of what that does is it

964
00:34:10,159 --> 00:34:14,560
shows that you have money. So, you're

965
00:34:12,320 --> 00:34:16,079
trying to display status to everybody

966
00:34:14,560 --> 00:34:18,079
and you're trying to say, "Hey, if

967
00:34:16,079 --> 00:34:20,560
you're thinking about using a product in

968
00:34:18,079 --> 00:34:22,560
this category, let's start by looking at

969
00:34:20,560 --> 00:34:24,480
the guys that have the biggest booths

970
00:34:22,560 --> 00:34:26,159
and the mo have spent the most money

971
00:34:24,480 --> 00:34:28,800
because they're obviously successful."

972
00:34:26,159 --> 00:34:30,399
And if you use them, they're not flaky,

973
00:34:28,800 --> 00:34:32,159
right? So, it's like it's brand

974
00:34:30,399 --> 00:34:34,240
recognition and it's sort of like that

975
00:34:32,159 --> 00:34:36,399
first cut. So, you're making like these

976
00:34:34,240 --> 00:34:38,560
as a consumer of these products and

977
00:34:36,399 --> 00:34:41,599
services, you're making these very

978
00:34:38,560 --> 00:34:43,280
chunky, very vague, like I think I

979
00:34:41,599 --> 00:34:46,639
should seriously talk to these guys

980
00:34:43,280 --> 00:34:49,359
because I can see that they just sent

981
00:34:46,639 --> 00:34:51,040
maybe $2 million on fire in a barrel.

982
00:34:49,359 --> 00:34:53,040
Like, that that's a big part of what's

983
00:34:51,040 --> 00:34:56,159
happening. It's like imagine you showed

984
00:34:53,040 --> 00:34:58,240
up and there's 50 companies and you know

985
00:34:56,159 --> 00:34:59,839
14 of them are relevant for the category

986
00:34:58,240 --> 00:35:01,839
that you might want to buy at and you're

987
00:34:59,839 --> 00:35:04,480
just looking at who burned the most

988
00:35:01,839 --> 00:35:05,920
money in this burn pit, right?

989
00:35:04,480 --> 00:35:07,280
>> And and you just start with the one that

990
00:35:05,920 --> 00:35:10,160
burned the most and you work your way

991
00:35:07,280 --> 00:35:11,839
down. That's really a big part like I

992
00:35:10,160 --> 00:35:12,960
would say that's the highest order bit

993
00:35:11,839 --> 00:35:14,880
for what's happening in that

994
00:35:12,960 --> 00:35:16,960
environment. And when you look at it

995
00:35:14,880 --> 00:35:18,320
like that, it's it's not very efficient.

996
00:35:16,960 --> 00:35:20,000
And then you think about all the money

997
00:35:18,320 --> 00:35:22,400
that you spent to go there. Like you're

998
00:35:20,000 --> 00:35:24,079
staying in probably an expensive hotel

999
00:35:22,400 --> 00:35:26,480
like the Bellagio or something, right?

1000
00:35:24,079 --> 00:35:27,839
Host these things. You had to fly in.

1001
00:35:26,480 --> 00:35:29,839
You're going to have a handful of

1002
00:35:27,839 --> 00:35:32,000
conversations. And sales guys love it.

1003
00:35:29,839 --> 00:35:33,760
And you know, it's been good for for my

1004
00:35:32,000 --> 00:35:35,599
business. It's been good for a lot of

1005
00:35:33,760 --> 00:35:38,880
people's businesses. But what I'm trying

1006
00:35:35,599 --> 00:35:40,480
to say is like just from a uh a data

1007
00:35:38,880 --> 00:35:41,599
exchange perspective because that's

1008
00:35:40,480 --> 00:35:43,599
ultimately what you're doing. You're

1009
00:35:41,599 --> 00:35:44,880
just trying to like figure out, have I

1010
00:35:43,599 --> 00:35:46,240
built the right product that somebody

1011
00:35:44,880 --> 00:35:48,880
wants and how do I get them to

1012
00:35:46,240 --> 00:35:50,960
understand that it exists and and that's

1013
00:35:48,880 --> 00:35:53,119
it, right? It's it's purely data

1014
00:35:50,960 --> 00:35:54,960
transfer. The only reason all the

1015
00:35:53,119 --> 00:35:57,119
interpersonal stuff and all the sales

1016
00:35:54,960 --> 00:35:58,720
skills and all the like manipulative

1017
00:35:57,119 --> 00:36:00,960
stuff come into play is that the data

1018
00:35:58,720 --> 00:36:03,520
transfer mechanism is so lossy. It's

1019
00:36:00,960 --> 00:36:04,720
just a very inefficient and the buyers

1020
00:36:03,520 --> 00:36:06,000
just don't even know what the hell

1021
00:36:04,720 --> 00:36:07,520
they're buying half the time. and

1022
00:36:06,000 --> 00:36:09,599
they're getting into these multi-year

1023
00:36:07,520 --> 00:36:10,800
contracts and they're they're like in a

1024
00:36:09,599 --> 00:36:12,720
lot of ways they're they're going,

1025
00:36:10,800 --> 00:36:14,800
"Okay, well, I know this guy, you know,

1026
00:36:12,720 --> 00:36:16,640
this head of sales guy. I've seen his

1027
00:36:14,800 --> 00:36:18,400
career. Maybe I knew him 15 years ago.

1028
00:36:16,640 --> 00:36:19,920
He didn't screw me back then. So, I'll

1029
00:36:18,400 --> 00:36:22,000
go ahead and sign this contract now.

1030
00:36:19,920 --> 00:36:23,440
It's a multi-year contract, and I'm

1031
00:36:22,000 --> 00:36:25,440
putting a lot of weight in the

1032
00:36:23,440 --> 00:36:27,359
reputation of the sales guy representing

1033
00:36:25,440 --> 00:36:30,640
this company." It's it's very very

1034
00:36:27,359 --> 00:36:32,079
sloppy a way to do business, and it's

1035
00:36:30,640 --> 00:36:33,680
the only way that you can really do

1036
00:36:32,079 --> 00:36:36,079
business when you're completely data

1037
00:36:33,680 --> 00:36:37,520
starved, right? And that's why when I

1038
00:36:36,079 --> 00:36:39,839
was talking about AI earlier with

1039
00:36:37,520 --> 00:36:43,440
helping with finances, it's like we can

1040
00:36:39,839 --> 00:36:45,200
just make a a decision with 10,000 times

1041
00:36:43,440 --> 00:36:47,760
more data than we could have 50 years

1042
00:36:45,200 --> 00:36:49,200
ago. We probably do that already, but AI

1043
00:36:47,760 --> 00:36:51,680
is going to take it another couple

1044
00:36:49,200 --> 00:36:53,760
orders of magnitude. Uh, and where does

1045
00:36:51,680 --> 00:36:55,760
a where does a guy that's like focused

1046
00:36:53,760 --> 00:36:57,680
on sales his whole life fit in there?

1047
00:36:55,760 --> 00:36:59,680
Man, if there's one job that just

1048
00:36:57,680 --> 00:37:02,079
doesn't bode well, right? It's like

1049
00:36:59,680 --> 00:37:03,599
being a manual data transfer agent in a

1050
00:37:02,079 --> 00:37:05,119
world where the data is transferring

1051
00:37:03,599 --> 00:37:07,520
faster and more efficiently when you're

1052
00:37:05,119 --> 00:37:09,520
not in the room. So yeah, I I I would

1053
00:37:07,520 --> 00:37:10,720
say if you're in sales or marketing, you

1054
00:37:09,520 --> 00:37:13,119
know, it might be a good time to learn

1055
00:37:10,720 --> 00:37:15,280
to code.

1056
00:37:13,119 --> 00:37:16,960
>> Oh yeah. I mean, everybody's got to

1057
00:37:15,280 --> 00:37:18,800
learn to code these days. And it's it's

1058
00:37:16,960 --> 00:37:21,200
quite easy if you know if you know where

1059
00:37:18,800 --> 00:37:22,480
to point the direction, right? Like

1060
00:37:21,200 --> 00:37:24,560
that's the thing. I just don't think

1061
00:37:22,480 --> 00:37:26,640
people know how to build. I think like

1062
00:37:24,560 --> 00:37:28,720
coding is the easy part. It's it's what

1063
00:37:26,640 --> 00:37:31,119
to build. like what do you want to build

1064
00:37:28,720 --> 00:37:32,880
and how to architect it, what to put in

1065
00:37:31,119 --> 00:37:33,760
>> your software and what to leave out,

1066
00:37:32,880 --> 00:37:35,280
right? So,

1067
00:37:33,760 --> 00:37:36,560
>> yeah. Yeah, that's true. I mean, what

1068
00:37:35,280 --> 00:37:38,480
you're doing with the podcast is

1069
00:37:36,560 --> 00:37:40,480
interesting, right? You found a way to

1070
00:37:38,480 --> 00:37:43,839
connect with people and and I I think

1071
00:37:40,480 --> 00:37:45,760
podcasting is a great kind of way to

1072
00:37:43,839 --> 00:37:49,200
sell right now because it is a good

1073
00:37:45,760 --> 00:37:51,440
intermediary thing. Like obviously

1074
00:37:49,200 --> 00:37:53,280
flying to a conference is probably not

1075
00:37:51,440 --> 00:37:54,960
going to be there in like 15, 20 years.

1076
00:37:53,280 --> 00:37:56,480
Like it probably doesn't compute, but it

1077
00:37:54,960 --> 00:37:58,079
takes time for these things to change. I

1078
00:37:56,480 --> 00:37:59,920
don't I don't think, you know, if you're

1079
00:37:58,079 --> 00:38:01,760
if you're a a super successful

1080
00:37:59,920 --> 00:38:04,160
enterprise sales guy, I'm not saying you

1081
00:38:01,760 --> 00:38:05,920
should quit your $10 million a year job

1082
00:38:04,160 --> 00:38:08,079
and go learn to code right now, right?

1083
00:38:05,920 --> 00:38:10,079
Like you can you can ride the wave out,

1084
00:38:08,079 --> 00:38:11,920
but you probably don't want to train

1085
00:38:10,079 --> 00:38:14,079
your grandchildren, right, if you're if

1086
00:38:11,920 --> 00:38:16,079
you're uh at that age to go into

1087
00:38:14,079 --> 00:38:17,359
enterprise sales right now cuz it's, you

1088
00:38:16,079 --> 00:38:18,880
know, it's probably not going to be

1089
00:38:17,359 --> 00:38:20,480
there for them. But yeah, I think I

1090
00:38:18,880 --> 00:38:22,320
think stuff like podcasting, connecting

1091
00:38:20,480 --> 00:38:24,320
with people online in the way that we're

1092
00:38:22,320 --> 00:38:27,599
doing right now is kind of on that

1093
00:38:24,320 --> 00:38:30,400
continuum. um and and and has more legs,

1094
00:38:27,599 --> 00:38:32,160
longer legs than something like uh um

1095
00:38:30,400 --> 00:38:34,079
you know, trying to just knock on doors

1096
00:38:32,160 --> 00:38:35,599
or whatever. But ultimately, part of the

1097
00:38:34,079 --> 00:38:38,240
reason that this is cool is that it does

1098
00:38:35,599 --> 00:38:39,920
get fed into the LLMs, right? Like

1099
00:38:38,240 --> 00:38:42,960
everybody's going to go to the LLM first

1100
00:38:39,920 --> 00:38:45,040
and say, "Hey, should I who's Softron,

1101
00:38:42,960 --> 00:38:47,119
right?" And to the degree that these

1102
00:38:45,040 --> 00:38:48,800
podcasts get fed in there, like that's

1103
00:38:47,119 --> 00:38:51,040
that is good sales and marketing, I

1104
00:38:48,800 --> 00:38:54,880
would say. But you got to know that the

1105
00:38:51,040 --> 00:38:57,119
main face is going to be LLM.

1106
00:38:54,880 --> 00:38:59,760
>> That that's a good thing. But I will I

1107
00:38:57,119 --> 00:39:01,440
will say that the one thing that people

1108
00:38:59,760 --> 00:39:03,200
do want to see is like they put a face

1109
00:39:01,440 --> 00:39:05,200
to the name, too. Like they they will

1110
00:39:03,200 --> 00:39:07,280
have the data in the LLMs, but they'll

1111
00:39:05,200 --> 00:39:09,359
also say, "Hey, that's Jack Couch is a

1112
00:39:07,280 --> 00:39:11,760
real person, and there he was with Johan

1113
00:39:09,359 --> 00:39:15,040
on a podcast, right?" Like, so I think

1114
00:39:11,760 --> 00:39:17,280
like you're right. And and uh I advised

1115
00:39:15,040 --> 00:39:19,680
a CEO that I worked with one time. I'm

1116
00:39:17,280 --> 00:39:22,000
like I said to him the amount of money

1117
00:39:19,680 --> 00:39:24,079
and time that you spent going on

1118
00:39:22,000 --> 00:39:25,760
conferences is that's the time that you

1119
00:39:24,079 --> 00:39:27,839
could be building. It's it's terribly

1120
00:39:25,760 --> 00:39:29,920
disruptive for you to be leaving

1121
00:39:27,839 --> 00:39:32,000
building product to be going to these

1122
00:39:29,920 --> 00:39:34,079
things and there's you have a week

1123
00:39:32,000 --> 00:39:35,839
before you have a week after maybe even

1124
00:39:34,079 --> 00:39:37,760
two weeks before to prep and two weeks

1125
00:39:35,839 --> 00:39:38,560
after to to

1126
00:39:37,760 --> 00:39:41,440
>> to

1127
00:39:38,560 --> 00:39:42,960
>> but in in a really data uh if the buyers

1128
00:39:41,440 --> 00:39:45,119
don't have access to a lot of data

1129
00:39:42,960 --> 00:39:46,560
though it makes sense for him to do that

1130
00:39:45,119 --> 00:39:48,800
like he probably did the math. He

1131
00:39:46,560 --> 00:39:50,400
probably wasn't terribly off on whether

1132
00:39:48,800 --> 00:39:52,560
it was effective or not. He knew if he

1133
00:39:50,400 --> 00:39:53,599
got a few more sales when he went to a

1134
00:39:52,560 --> 00:39:55,280
conference that he wouldn't have got

1135
00:39:53,599 --> 00:39:58,400
otherwise probably. But the difference

1136
00:39:55,280 --> 00:40:00,960
is that the data is getting richer. Like

1137
00:39:58,400 --> 00:40:02,800
if if somebody said, "I I'm building a

1138
00:40:00,960 --> 00:40:04,480
financial app and I want to get access

1139
00:40:02,800 --> 00:40:06,320
to banking data or I'm building an AI

1140
00:40:04,480 --> 00:40:07,760
agent, right? I'm building a an AI

1141
00:40:06,320 --> 00:40:09,520
agent. One of the things I want it to be

1142
00:40:07,760 --> 00:40:11,119
able to do is connect to banks. Well, I

1143
00:40:09,520 --> 00:40:14,320
can look at Softrun or I can look at

1144
00:40:11,119 --> 00:40:16,160
Plaid or or Yodi or, you know, Finicity,

1145
00:40:14,320 --> 00:40:17,599
Mastercard, whatever." Right? I think

1146
00:40:16,160 --> 00:40:20,320
this conversation could be helpful

1147
00:40:17,599 --> 00:40:22,160
because it goes into the LLM and the LLM

1148
00:40:20,320 --> 00:40:24,400
says, "Hey, you know, here's the seven

1149
00:40:22,160 --> 00:40:25,599
that I know about and maybe Softron, you

1150
00:40:24,400 --> 00:40:27,839
know, maybe it would have been a list of

1151
00:40:25,599 --> 00:40:30,079
six if I wasn't on on a few podcasts,

1152
00:40:27,839 --> 00:40:31,760
right? Uh because they're not as top of

1153
00:40:30,079 --> 00:40:33,440
mind." But then the next question is

1154
00:40:31,760 --> 00:40:35,839
like, okay, how how should I make this

1155
00:40:33,440 --> 00:40:37,359
buying decision? And the answer is going

1156
00:40:35,839 --> 00:40:38,960
to be something like, well, you're

1157
00:40:37,359 --> 00:40:40,560
trying to connect to banks. How many

1158
00:40:38,960 --> 00:40:42,160
bank here? Here here's the banks that

1159
00:40:40,560 --> 00:40:43,599
they can connect to. Here's the

1160
00:40:42,160 --> 00:40:45,440
reliability numbers that have been

1161
00:40:43,599 --> 00:40:48,000
published, if any have been published.

1162
00:40:45,440 --> 00:40:49,920
Here's any security breaches that any of

1163
00:40:48,000 --> 00:40:52,000
these companies have suffered. Here's

1164
00:40:49,920 --> 00:40:55,359
how long they've been in business. Like

1165
00:40:52,000 --> 00:40:59,119
the LM is going to be an unbiased uh

1166
00:40:55,359 --> 00:41:02,400
source of those key driving decision-m

1167
00:40:59,119 --> 00:41:03,920
sort of metrics, right? And so probably

1168
00:41:02,400 --> 00:41:05,760
it's not going to be very long before

1169
00:41:03,920 --> 00:41:07,680
nobody cares, right? Nobody cares that

1170
00:41:05,760 --> 00:41:09,359
Jack Couch has, you know, worked at

1171
00:41:07,680 --> 00:41:10,960
Microsoft or whatever. It's like, can

1172
00:41:09,359 --> 00:41:13,119
you connect me to Boeing Employees

1173
00:41:10,960 --> 00:41:15,200
Credit Union and Wells Fargo? Have you

1174
00:41:13,119 --> 00:41:17,440
ever had a security issue and what's

1175
00:41:15,200 --> 00:41:18,960
your cost and uh you know, does it

1176
00:41:17,440 --> 00:41:20,560
freaking work, right? I I don't want to

1177
00:41:18,960 --> 00:41:22,480
have a conversation. I'm probably vibe

1178
00:41:20,560 --> 00:41:24,720
coding this thing up anyway, right? Like

1179
00:41:22,480 --> 00:41:26,640
like I'm probably having an agent decide

1180
00:41:24,720 --> 00:41:28,079
what API I'm going to use to connect the

1181
00:41:26,640 --> 00:41:29,920
bank account. So, I'm probably, you

1182
00:41:28,079 --> 00:41:31,920
know, like even the buyer is probably

1183
00:41:29,920 --> 00:41:34,000
getting taken out of the loop more than

1184
00:41:31,920 --> 00:41:36,720
than we expect right now. But yeah, the

1185
00:41:34,000 --> 00:41:38,480
idea that like as a technology service

1186
00:41:36,720 --> 00:41:40,000
provider, people are really going to

1187
00:41:38,480 --> 00:41:42,160
care whether I have a, you know, a

1188
00:41:40,000 --> 00:41:43,839
charming personality or not, like yeah,

1189
00:41:42,160 --> 00:41:46,480
that's totally was the case 20 years

1190
00:41:43,839 --> 00:41:48,000
ago. It's a little bit the case now, but

1191
00:41:46,480 --> 00:41:51,200
I think we can see that it's not going

1192
00:41:48,000 --> 00:41:55,040
to be the case for much longer.

1193
00:41:51,200 --> 00:41:56,960
This is cool. So, what is your your

1194
00:41:55,040 --> 00:41:59,520
future

1195
00:41:56,960 --> 00:42:01,520
like estimate of how we interact with

1196
00:41:59,520 --> 00:42:03,119
the LLMs? Is it just going to be a

1197
00:42:01,520 --> 00:42:06,400
device on our phone that we just speak

1198
00:42:03,119 --> 00:42:08,800
into? Is that is that the best UX?

1199
00:42:06,400 --> 00:42:10,079
>> I I mean I think probably it's it is

1200
00:42:08,800 --> 00:42:12,000
probably you just talking to your phone.

1201
00:42:10,079 --> 00:42:13,680
I don't know if it's a separate device.

1202
00:42:12,000 --> 00:42:15,920
Like this this whole separate device

1203
00:42:13,680 --> 00:42:19,440
thing has been so weird to watch too.

1204
00:42:15,920 --> 00:42:22,319
When when I was at Microsoft and we had

1205
00:42:19,440 --> 00:42:23,920
this pocket CE, I think is what it was.

1206
00:42:22,319 --> 00:42:25,359
And you know, you had your phone and you

1207
00:42:23,920 --> 00:42:27,359
could slide like a keyboard out and you

1208
00:42:25,359 --> 00:42:29,359
had a stylus. And then then I worked at

1209
00:42:27,359 --> 00:42:31,280
Xbox. Then I worked at Zoom. And Zoom

1210
00:42:29,359 --> 00:42:34,720
was like, "Okay, we're going to

1211
00:42:31,280 --> 00:42:36,800
consolidate the MP3 player and watching

1212
00:42:34,720 --> 00:42:38,480
video was like the whole the whole idea

1213
00:42:36,800 --> 00:42:40,480
behind Zoom." And it was super cool.

1214
00:42:38,480 --> 00:42:43,040
Like we had for for what it was, we had

1215
00:42:40,480 --> 00:42:44,880
this great UX, great designers, great

1216
00:42:43,040 --> 00:42:47,839
artists and everything. Like it was it

1217
00:42:44,880 --> 00:42:50,079
was fun. I still have like zooms laying

1218
00:42:47,839 --> 00:42:52,079
around. But then the day the iPhone came

1219
00:42:50,079 --> 00:42:54,000
out, we all stood around and we said,

1220
00:42:52,079 --> 00:42:56,144
"Okay, where are we applying next?"

1221
00:42:54,000 --> 00:42:57,760
Right? We all knew it was over because

1222
00:42:56,144 --> 00:43:00,160
[laughter] as soon as you picked up the

1223
00:42:57,760 --> 00:43:02,000
iPhone, you were like, "Oh my gosh, this

1224
00:43:00,160 --> 00:43:03,760
touchscreen is amazing." Like they

1225
00:43:02,000 --> 00:43:06,319
finally got touchcreens to work. There's

1226
00:43:03,760 --> 00:43:09,200
no stylus. The reason that Zoom didn't

1227
00:43:06,319 --> 00:43:10,880
have a uh like a touchcreen is we didn't

1228
00:43:09,200 --> 00:43:12,960
have the technology to make it work. It

1229
00:43:10,880 --> 00:43:15,040
was it was a shitty user experience.

1230
00:43:12,960 --> 00:43:16,880
Even with a stylus, you'd like stab the

1231
00:43:15,040 --> 00:43:18,400
thing sometimes, you know? It just it it

1232
00:43:16,880 --> 00:43:20,960
wasn't good enough. And so we kind of

1233
00:43:18,400 --> 00:43:23,280
did like this custom thing where you'd

1234
00:43:20,960 --> 00:43:25,599
roll your thumb around. But as soon as

1235
00:43:23,280 --> 00:43:27,280
we saw that good touch screen, we were

1236
00:43:25,599 --> 00:43:29,200
like, "All right, it's game over." And

1237
00:43:27,280 --> 00:43:30,880
also, it's got to be the phone. So, some

1238
00:43:29,200 --> 00:43:32,800
of us moved over to Windows Phone and

1239
00:43:30,880 --> 00:43:34,480
worked on that, but it was just so clear

1240
00:43:32,800 --> 00:43:36,880
that like, yeah, nobody's going to carry

1241
00:43:34,480 --> 00:43:38,960
around an MP3 player when they can carry

1242
00:43:36,880 --> 00:43:40,640
around an iPhone and it has an MP3

1243
00:43:38,960 --> 00:43:42,880
player and it's got a browser and it's

1244
00:43:40,640 --> 00:43:45,839
also a cell phone, right? So, this kind

1245
00:43:42,880 --> 00:43:48,720
of like weird going back to individual

1246
00:43:45,839 --> 00:43:52,079
devices, I just think it's like it's in

1247
00:43:48,720 --> 00:43:53,599
in nonsense, right? Like why I I carry

1248
00:43:52,079 --> 00:43:55,359
these two things around like everybody

1249
00:43:53,599 --> 00:43:57,440
right now, right? And I'm kind of

1250
00:43:55,359 --> 00:44:00,000
annoyed that this isn't somehow inside

1251
00:43:57,440 --> 00:44:03,280
this already, right? Like like you want

1252
00:44:00,000 --> 00:44:04,720
your AirPods to be somehow smaller so

1253
00:44:03,280 --> 00:44:06,400
that they can like fit in the back of

1254
00:44:04,720 --> 00:44:07,680
your phone case or something. And I'm

1255
00:44:06,400 --> 00:44:09,280
sure I'm sure somebody's working on

1256
00:44:07,680 --> 00:44:10,560
that. It's probably already uh it's

1257
00:44:09,280 --> 00:44:10,880
probably already on the road map at

1258
00:44:10,560 --> 00:44:12,400
Apple.

1259
00:44:10,880 --> 00:44:14,079
>> Yeah. It's called a brain computer

1260
00:44:12,400 --> 00:44:16,079
interface that

1261
00:44:14,079 --> 00:44:18,240
>> Yeah. Yeah. Yeah. Actually, I mean

1262
00:44:16,079 --> 00:44:20,800
that's way more that's way more the

1263
00:44:18,240 --> 00:44:22,880
trend, right? The trend is not towards

1264
00:44:20,800 --> 00:44:25,440
inconvenience. The trend is towards

1265
00:44:22,880 --> 00:44:27,520
convenience. So yeah, I I agree. More

1266
00:44:25,440 --> 00:44:29,440
likely my cell phone goes in my skull

1267
00:44:27,520 --> 00:44:30,000
than that I carry another few devices

1268
00:44:29,440 --> 00:44:31,440
around.

1269
00:44:30,000 --> 00:44:33,920
>> Would you do it? Would you do it? Would

1270
00:44:31,440 --> 00:44:37,119
you be one of the first ones or

1271
00:44:33,920 --> 00:44:40,400
>> No, I'm a security guy, so I like trust

1272
00:44:37,119 --> 00:44:42,480
boundaries and my brain uh I I like that

1273
00:44:40,400 --> 00:44:43,920
it's isolated from my phone to the

1274
00:44:42,480 --> 00:44:45,359
degree that it is. I mean, there's been

1275
00:44:43,920 --> 00:44:47,119
there's been enough experiments already

1276
00:44:45,359 --> 00:44:48,400
trying to push that limit, but no, I I

1277
00:44:47,119 --> 00:44:51,520
don't want to I'm not going to be the

1278
00:44:48,400 --> 00:44:51,839
first guy to get his brain hacked.

1279
00:44:51,520 --> 00:44:53,440
>> Okay,

1280
00:44:51,839 --> 00:44:54,800
>> I'd have to have a lot more trust in the

1281
00:44:53,440 --> 00:44:57,520
hardware that I have and stuff right

1282
00:44:54,800 --> 00:44:59,200
now.

1283
00:44:57,520 --> 00:45:01,599
>> All right, but you know, we're wrapping

1284
00:44:59,200 --> 00:45:03,280
up here. Super amazing conversation.

1285
00:45:01,599 --> 00:45:05,520
What's the future of Softron? Like,

1286
00:45:03,280 --> 00:45:07,280
where do you see guys yourselves in a

1287
00:45:05,520 --> 00:45:10,079
couple years? And how can we keep up

1288
00:45:07,280 --> 00:45:11,920
with what you guys are doing?

1289
00:45:10,079 --> 00:45:13,599
Yeah, I mean I I think probably what's

1290
00:45:11,920 --> 00:45:15,040
going to happen with Softron is we end

1291
00:45:13,599 --> 00:45:17,119
up getting acquired by one of the

1292
00:45:15,040 --> 00:45:18,800
frontier models. That seems like the

1293
00:45:17,119 --> 00:45:20,240
most likely thing because they're

1294
00:45:18,800 --> 00:45:21,599
they're running up against this data

1295
00:45:20,240 --> 00:45:23,200
wall that they're starting to talk about

1296
00:45:21,599 --> 00:45:25,119
more and more now. Like they've got

1297
00:45:23,200 --> 00:45:26,400
access to all of the public data they've

1298
00:45:25,119 --> 00:45:28,240
trained and they've added the

1299
00:45:26,400 --> 00:45:30,560
functionality that they can add, but

1300
00:45:28,240 --> 00:45:31,920
they they need access to everything that

1301
00:45:30,560 --> 00:45:34,319
they can get. That's going to be a major

1302
00:45:31,920 --> 00:45:36,400
differentiator. And we've spent a decade

1303
00:45:34,319 --> 00:45:39,280
getting really, really good at accessing

1304
00:45:36,400 --> 00:45:41,599
data, um, ethically and with consumer

1305
00:45:39,280 --> 00:45:43,040
consent, um, informed consent, all of

1306
00:45:41,599 --> 00:45:45,040
that, but getting access to data that

1307
00:45:43,040 --> 00:45:47,200
nobody can get access to. So, I think

1308
00:45:45,040 --> 00:45:48,720
that's probably where we end up. Um,

1309
00:45:47,200 --> 00:45:49,920
and, uh, yeah, I'm looking forward to

1310
00:45:48,720 --> 00:45:51,680
it. It's going to be a it's going to be

1311
00:45:49,920 --> 00:45:54,000
a fun ride. Uh, the stuff that's

1312
00:45:51,680 --> 00:45:56,079
happening is it's of course overhyped,

1313
00:45:54,000 --> 00:45:58,160
but all these things have been overhyped

1314
00:45:56,079 --> 00:46:00,560
and then still absolutely incredible in

1315
00:45:58,160 --> 00:46:03,560
hindsight.

1316
00:46:00,560 --> 00:46:03,560
Amazing.

1317
00:46:04,000 --> 00:46:08,079
Thanks, Jack. One thing I was say a

1318
00:46:06,400 --> 00:46:10,960
little curious about what you said. You

1319
00:46:08,079 --> 00:46:12,720
said you were on the Xbox team.

1320
00:46:10,960 --> 00:46:14,960
>> Yeah. Yeah. Yeah. Yeah. I uh I

1321
00:46:12,720 --> 00:46:17,280
personally set up the Xbox network in

1322
00:46:14,960 --> 00:46:19,119
Japan. Did did like built out the whole

1323
00:46:17,280 --> 00:46:21,599
the whole uh network configuration and

1324
00:46:19,119 --> 00:46:22,720
all that sort of stuff. So, Xbox Live in

1325
00:46:21,599 --> 00:46:25,359
particular.

1326
00:46:22,720 --> 00:46:27,599
>> So, meaning like multi

1327
00:46:25,359 --> 00:46:29,200
multiplayer run ran on something you

1328
00:46:27,599 --> 00:46:31,200
built.

1329
00:46:29,200 --> 00:46:32,960
>> Yeah. Yeah. Yeah. Xbox Live was huge

1330
00:46:31,200 --> 00:46:35,040
when it first came out. I mean, it was

1331
00:46:32,960 --> 00:46:36,319
it was Halo, you know, Halo kicked off

1332
00:46:35,040 --> 00:46:38,880
and you could play Halo with your

1333
00:46:36,319 --> 00:46:40,640
friends all the way across the country,

1334
00:46:38,880 --> 00:46:42,240
all the way across the world, right? And

1335
00:46:40,640 --> 00:46:44,000
uh yeah, that was one of the funnest

1336
00:46:42,240 --> 00:46:45,599
times of my career. Like, everybody was

1337
00:46:44,000 --> 00:46:48,240
playing Halo all the time when we

1338
00:46:45,599 --> 00:46:50,240
weren't working. And you know, actually,

1339
00:46:48,240 --> 00:46:51,680
you know, that that was magical. And

1340
00:46:50,240 --> 00:46:53,359
part of the reason it was magical is we

1341
00:46:51,680 --> 00:46:54,880
were all in person. I got to I got to

1342
00:46:53,359 --> 00:46:56,960
admit, it was very cool to be able to

1343
00:46:54,880 --> 00:46:58,240
walk down the hall and uh just see all

1344
00:46:56,960 --> 00:46:59,839
your friends that you were working and

1345
00:46:58,240 --> 00:47:01,920
playing with. your connection or our

1346
00:46:59,839 --> 00:47:03,599
connection went south there. But I I

1347
00:47:01,920 --> 00:47:06,880
wanted to show you this. I I found this

1348
00:47:03,599 --> 00:47:08,160
in a in a toy show.

1349
00:47:06,880 --> 00:47:10,000
It was

1350
00:47:08,160 --> 00:47:12,319
>> Yeah. Yeah. Yeah. Yeah. The

1351
00:47:10,000 --> 00:47:15,200
>> laser cell fun.

1352
00:47:12,319 --> 00:47:15,680
>> A laser cell. One of 500.

1353
00:47:15,200 --> 00:47:17,119
>> Yeah.

1354
00:47:15,680 --> 00:47:19,599
>> Nice.

1355
00:47:17,119 --> 00:47:21,760
>> Let's give it to the employees.

1356
00:47:19,599 --> 00:47:24,800
>> Yeah. I I actually don't have that and I

1357
00:47:21,760 --> 00:47:27,599
don't remember it. Um

1358
00:47:24,800 --> 00:47:30,400
but it looks cool and it probably was. I

1359
00:47:27,599 --> 00:47:31,680
uh I somehow I always missed out. Uh I

1360
00:47:30,400 --> 00:47:34,240
think it was because I was always

1361
00:47:31,680 --> 00:47:36,400
working like in the party. Um when we

1362
00:47:34,240 --> 00:47:38,880
shipped Windows Vista, every year that

1363
00:47:36,400 --> 00:47:41,599
when we shipped a new uh copy of

1364
00:47:38,880 --> 00:47:43,680
Windows, there'd be this huge uh cover

1365
00:47:41,599 --> 00:47:45,119
on Wall Street Journal and a picture of

1366
00:47:43,680 --> 00:47:47,440
that war room that I was talking about

1367
00:47:45,119 --> 00:47:49,839
and everybody was there. And uh I missed

1368
00:47:47,440 --> 00:47:51,280
that day, too. Even though I spent, you

1369
00:47:49,839 --> 00:47:54,480
know, I was the security guy in that

1370
00:47:51,280 --> 00:47:56,640
room for two years. And then I don't

1371
00:47:54,480 --> 00:47:58,400
know, some emergency came up and I

1372
00:47:56,640 --> 00:47:59,839
wasn't I wasn't uh hanging out at the

1373
00:47:58,400 --> 00:48:02,240
party and then they came in and got the

1374
00:47:59,839 --> 00:48:04,240
shot. So, I'm not surprised that I uh

1375
00:48:02,240 --> 00:48:08,000
don't I don't still have that.

1376
00:48:04,240 --> 00:48:10,480
>> Prior to us having kids, we used to play

1377
00:48:08,000 --> 00:48:11,839
Halo multiplayer all the time, my wife

1378
00:48:10,480 --> 00:48:13,920
and I, and

1379
00:48:11,839 --> 00:48:15,359
>> we love it. I mean, it's uh it's

1380
00:48:13,920 --> 00:48:17,359
probably one of the best video games. I

1381
00:48:15,359 --> 00:48:19,680
hope they I hope they move and do

1382
00:48:17,359 --> 00:48:21,520
something with it more. But uh

1383
00:48:19,680 --> 00:48:23,359
>> yeah, it's a staple. It's a it's an

1384
00:48:21,520 --> 00:48:26,240
amazing game.

1385
00:48:23,359 --> 00:48:27,920
Yeah. Yeah. Yeah. It's very fun. I'm not

1386
00:48:26,240 --> 00:48:29,359
uh I'm not doing a lot of gaming anymore

1387
00:48:27,920 --> 00:48:31,359
these days, but uh yeah.

1388
00:48:29,359 --> 00:48:33,359
>> Yeah. I'm hoping that that some some

1389
00:48:31,359 --> 00:48:35,839
more fun games come out. It does it does

1390
00:48:33,359 --> 00:48:37,440
seem like that stalled a bit. VR is

1391
00:48:35,839 --> 00:48:39,040
actually going to be amazing.

1392
00:48:37,440 --> 00:48:41,040
>> I was I was talking to a friend the

1393
00:48:39,040 --> 00:48:43,200
other day that has been working on a

1394
00:48:41,040 --> 00:48:44,640
physics engine for VR and trying to

1395
00:48:43,200 --> 00:48:46,559
figure out how to get it to the point

1396
00:48:44,640 --> 00:48:48,240
where we could do sword fighting. And if

1397
00:48:46,559 --> 00:48:51,040
you think about the latency there, it's

1398
00:48:48,240 --> 00:48:53,040
just insane. like you gotta for for you

1399
00:48:51,040 --> 00:48:55,440
to hit somebody else's sword like the

1400
00:48:53,040 --> 00:48:57,520
speeds or and he said for the first time

1401
00:48:55,440 --> 00:48:59,839
this was just a couple weeks ago he was

1402
00:48:57,520 --> 00:49:01,520
like I got it and he was able to

1403
00:48:59,839 --> 00:49:04,240
actually sword fight with somebody else

1404
00:49:01,520 --> 00:49:06,800
and they did all kinds of weird things

1405
00:49:04,240 --> 00:49:09,040
to make it work and your brain actually

1406
00:49:06,800 --> 00:49:11,440
has to be okay with like you actually it

1407
00:49:09,040 --> 00:49:13,839
introduces more latency for when you

1408
00:49:11,440 --> 00:49:16,160
move your hand but your brain starts

1409
00:49:13,839 --> 00:49:18,480
adjusting this is very weird like your

1410
00:49:16,160 --> 00:49:20,800
brain's brain stops expecting your hand

1411
00:49:18,480 --> 00:49:22,800
to move as fast. And so they buy

1412
00:49:20,800 --> 00:49:24,640
themselves a little bit of latency by

1413
00:49:22,800 --> 00:49:27,440
doing that. By basically slowing your

1414
00:49:24,640 --> 00:49:30,160
brain down on both sides, they're able

1415
00:49:27,440 --> 00:49:31,839
to use that time gap that they create by

1416
00:49:30,160 --> 00:49:33,040
putting a local lag that doesn't need to

1417
00:49:31,839 --> 00:49:34,800
be there. But yeah, at the end of the

1418
00:49:33,040 --> 00:49:38,079
day, they were they're uh they're able

1419
00:49:34,800 --> 00:49:40,400
to have a really cool like actual sword

1420
00:49:38,079 --> 00:49:42,319
fighting experience in VR. So that hype

1421
00:49:40,400 --> 00:49:43,680
cycle's gone now, but it's going to come

1422
00:49:42,319 --> 00:49:44,800
back and the technology is still

1423
00:49:43,680 --> 00:49:46,559
progressing and it's going to be

1424
00:49:44,800 --> 00:49:48,160
awesome.

1425
00:49:46,559 --> 00:49:49,680
>> Yeah, I know. I've I've gotten into

1426
00:49:48,160 --> 00:49:53,040
collecting games. I don't get time to

1427
00:49:49,680 --> 00:49:54,160
play it myself, but uh collecting games,

1428
00:49:53,040 --> 00:49:56,559
I don't know. It's just like one of

1429
00:49:54,160 --> 00:49:58,559
those things. I was into NFTTS, so it uh

1430
00:49:56,559 --> 00:49:59,119
it was a natural thing. [laughter]

1431
00:49:58,559 --> 00:50:01,119
>> Um

1432
00:49:59,119 --> 00:50:03,599
>> are you are you still in NFTs or has

1433
00:50:01,119 --> 00:50:06,000
that hype cycle completely? Uh

1434
00:50:03,599 --> 00:50:08,160
>> it's uh that hype cycle is completed for

1435
00:50:06,000 --> 00:50:10,240
now. I I think there's there's more

1436
00:50:08,160 --> 00:50:11,920
there's more you can do with NFTs. Like

1437
00:50:10,240 --> 00:50:13,680
there's Funkos that that that were

1438
00:50:11,920 --> 00:50:15,200
redeemable if you owned the NFT. I

1439
00:50:13,680 --> 00:50:17,200
thought that was cool,

1440
00:50:15,200 --> 00:50:18,800
>> right? Yeah. like rewards points sort

1441
00:50:17,200 --> 00:50:21,599
of.

1442
00:50:18,800 --> 00:50:24,079
>> Yeah. And I think there's it's just data

1443
00:50:21,599 --> 00:50:26,240
that's onchain. Uh it's just data that's

1444
00:50:24,079 --> 00:50:28,400
that's metadata that's onchain and

1445
00:50:26,240 --> 00:50:30,079
trackable. So I I don't from a

1446
00:50:28,400 --> 00:50:31,599
technology and productwise. It it

1447
00:50:30,079 --> 00:50:32,720
probably was just delivered the wrong

1448
00:50:31,599 --> 00:50:34,480
way with

1449
00:50:32,720 --> 00:50:35,920
>> you know board ape and monkeys and all

1450
00:50:34,480 --> 00:50:39,200
these different things. So

1451
00:50:35,920 --> 00:50:41,040
>> what a crazy what a crazy series of hype

1452
00:50:39,200 --> 00:50:43,599
cycles we've lived through in the last

1453
00:50:41,040 --> 00:50:46,160
10 years. Like when Xbox Live launched

1454
00:50:43,599 --> 00:50:47,920
it was really cool. It was a big deal

1455
00:50:46,160 --> 00:50:49,599
and the amount of hype that it got. Even

1456
00:50:47,920 --> 00:50:51,520
though we had like we had millions of

1457
00:50:49,599 --> 00:50:54,480
users, people were spending tons of time

1458
00:50:51,520 --> 00:50:56,880
on it. It was like, you know, it was the

1459
00:50:54,480 --> 00:50:58,400
first online gaming experience for I

1460
00:50:56,880 --> 00:51:00,559
would say most people that bought an

1461
00:50:58,400 --> 00:51:02,160
Xbox. They hadn't really done a lot of

1462
00:51:00,559 --> 00:51:03,680
online gaming. You know, there was like

1463
00:51:02,160 --> 00:51:05,359
World of Warcraft, but that was like

1464
00:51:03,680 --> 00:51:07,440
weird teenagers only, you know, that

1465
00:51:05,359 --> 00:51:09,119
that played that. And yeah, there was

1466
00:51:07,440 --> 00:51:11,680
there was some of that, but not

1467
00:51:09,119 --> 00:51:13,839
>> not a ton. And and man, if you compare

1468
00:51:11,680 --> 00:51:16,000
like the social impact of that and how

1469
00:51:13,839 --> 00:51:18,319
how actually cool it was to the amount

1470
00:51:16,000 --> 00:51:20,240
of overall hype to something like the

1471
00:51:18,319 --> 00:51:22,079
NFT thing, like the amount of joy that

1472
00:51:20,240 --> 00:51:23,839
the NFTs actually brought to people

1473
00:51:22,079 --> 00:51:26,079
compared to the hype, like we have

1474
00:51:23,839 --> 00:51:27,440
entered into just a really really weird

1475
00:51:26,079 --> 00:51:29,599
world where it's really hard to tell

1476
00:51:27,440 --> 00:51:31,280
what the heck's going on anymore.

1477
00:51:29,599 --> 00:51:33,920
>> But yeah, I think you know, like even

1478
00:51:31,280 --> 00:51:36,160
even VR, like VR has kind of sucked.

1479
00:51:33,920 --> 00:51:37,119
Like my kids play VR, I've played it a

1480
00:51:36,160 --> 00:51:39,200
little bit. There's some cool

1481
00:51:37,119 --> 00:51:42,000
experiences that you can have in VR, but

1482
00:51:39,200 --> 00:51:44,480
for Facebook to be renamed Meta and all

1483
00:51:42,000 --> 00:51:46,480
of the metaverse hype, that whole hype

1484
00:51:44,480 --> 00:51:48,480
cycle was just insufferable. Like, it's

1485
00:51:46,480 --> 00:51:50,000
so I'm so glad that one's over. But it

1486
00:51:48,480 --> 00:51:52,000
is a weird time where it's like

1487
00:51:50,000 --> 00:51:54,800
everything that I want to be excited

1488
00:51:52,000 --> 00:51:57,359
about, I almost don't like it because

1489
00:51:54,800 --> 00:51:59,680
they're ruining it for me. Like they're

1490
00:51:57,359 --> 00:52:02,240
so hyping things to the point where it's

1491
00:51:59,680 --> 00:52:03,680
like I'm kind of disgusted. Like AI is a

1492
00:52:02,240 --> 00:52:05,599
perfect example. I'm totally excited

1493
00:52:03,680 --> 00:52:07,119
about the actual experiences, but when I

1494
00:52:05,599 --> 00:52:09,040
say it, I think of like,

1495
00:52:07,119 --> 00:52:11,040
>> oh my gosh, you know, everybody's going

1496
00:52:09,040 --> 00:52:13,040
to be unemployed in like two weeks and

1497
00:52:11,040 --> 00:52:13,839
all of this sort of stuff. It's like, oh

1498
00:52:13,040 --> 00:52:16,160
man.

1499
00:52:13,839 --> 00:52:17,280
>> So, I I try to I I'm trying more and

1500
00:52:16,160 --> 00:52:19,359
more to like

1501
00:52:17,280 --> 00:52:21,440
>> block out the hype and, you know, focus

1502
00:52:19,359 --> 00:52:23,280
on the reality. And the reality is very

1503
00:52:21,440 --> 00:52:25,359
cool with a lot of the stuff.

1504
00:52:23,280 --> 00:52:28,400
>> Speaking of hype, are you any kids into

1505
00:52:25,359 --> 00:52:30,880
Pokemon and Magic or anything like that?

1506
00:52:28,400 --> 00:52:33,520
>> No, no, no, no, no. The older ones are

1507
00:52:30,880 --> 00:52:34,559
are a little too nerdy, I think.

1508
00:52:33,520 --> 00:52:36,480
>> Okay.

1509
00:52:34,559 --> 00:52:39,119
>> They like they like like first person

1510
00:52:36,480 --> 00:52:43,760
shooters in VR. They they do that a bit

1511
00:52:39,119 --> 00:52:45,040
and uh um and like racing go-karts and

1512
00:52:43,760 --> 00:52:47,200
things like that.

1513
00:52:45,040 --> 00:52:49,200
>> But yeah,

1514
00:52:47,200 --> 00:52:51,040
before you go, I just wanted to say I

1515
00:52:49,200 --> 00:52:53,359
didn't know that you worked on the

1516
00:52:51,040 --> 00:52:55,599
Microsoft network, but we got so much

1517
00:52:53,359 --> 00:52:57,280
enjoyment out of that and it was it's

1518
00:52:55,599 --> 00:52:59,440
literally the gold standard of online

1519
00:52:57,280 --> 00:53:01,839
multiplayer. I It still probably is. I

1520
00:52:59,440 --> 00:53:03,680
don't know. I don't play. But if I were

1521
00:53:01,839 --> 00:53:06,079
wanting to choose one, it would be like,

1522
00:53:03,680 --> 00:53:08,400
"Yeah, it's Xbox Live. It's worth it. I

1523
00:53:06,079 --> 00:53:10,319
could have a phone conversation with my,

1524
00:53:08,400 --> 00:53:11,760
>> you know, it's it was that good." You

1525
00:53:10,319 --> 00:53:13,280
know, it was a good system.

1526
00:53:11,760 --> 00:53:14,559
>> Yeah. Yeah. It was it was cool. And it

1527
00:53:13,280 --> 00:53:15,680
was the first, like I said, it was the

1528
00:53:14,559 --> 00:53:17,599
first time a lot of people had that

1529
00:53:15,680 --> 00:53:19,520
experience. So, it was really fun

1530
00:53:17,599 --> 00:53:21,839
>> to be part of that. But, yeah, lot lots

1531
00:53:19,520 --> 00:53:23,839
of more cool stuff to come. If uh if we

1532
00:53:21,839 --> 00:53:25,760
could just see through the hype, I think

1533
00:53:23,839 --> 00:53:27,200
uh you know, how good would it be if we

1534
00:53:25,760 --> 00:53:30,319
were able to sword fight during this

1535
00:53:27,200 --> 00:53:33,520
conversation? Why not?

1536
00:53:30,319 --> 00:53:35,200
Oh, that's interesting. It's It was

1537
00:53:33,520 --> 00:53:37,520
refreshing having you on. There's like a

1538
00:53:35,200 --> 00:53:39,680
lot of people that talk hype and you're

1539
00:53:37,520 --> 00:53:41,280
just like that veteran CEO type that

1540
00:53:39,680 --> 00:53:42,880
that that's seen it all type of thing.

1541
00:53:41,280 --> 00:53:46,480
So, I I really do appreciate your

1542
00:53:42,880 --> 00:53:48,319
Candace, you know, converation. So,

1543
00:53:46,480 --> 00:53:49,839
>> awesome, man. This was fun. I I really

1544
00:53:48,319 --> 00:53:51,359
appreciate you reaching out and and

1545
00:53:49,839 --> 00:53:52,240
getting this together. This is a good

1546
00:53:51,359 --> 00:53:53,680
time.

1547
00:53:52,240 --> 00:53:55,440
>> All right, man. We'll be in touch. I'll

1548
00:53:53,680 --> 00:53:58,400
I'll talk to you again soon.

1549
00:53:55,440 --> 00:53:58,400
>> Okay. See you.

