Adrenum is building distributed sonar sensing to detect autonomous narco subs and modern maritime threats

If you don't take 100% on the next one, that's like the least tax optimized way to do it. And it gets really really nuanced. I've got a couple tax friends that are like can totally point you in the right direction of what's right for you. It's totally different depending on every single person. That makes sense.

Uh well, we'll have to have them on, too. Last question. What's going on with Air Force One? What's the update there? Oh, yeah. Last that I heard, I read last week um or over the weekend that they are diverting funds from some missile programs that have already gone over budget to retrofit the new 747. Okay.

Um one thing people don't understand is like the 747 in the VVIP configuration, there is like eight of them, period. Like there's not a lot.

So like the fact that we got one of the 10 that exists or however many there are it's like we didn't the pickings were slim and Boeing kind of being behind on the program which they just replaced they just replaced another person in the to head up the Boeing uh Air Force One program. So it's a mess.

I look I really hope that we keep the president safe. That's the only thing that really matters. Uh I just really don't want there to be like spyw wear on the plane. That's I think the the world's worst possible outcome. That's a good take. Well, thank you so much. Evergreen take. Yes. No spy war on air force.

Non-political evergreen take. Anyways, great to catch up. Thank you for all the insight and uh have fun. I'm sure you're going to be very busy. Yeah, it's going to be a fun time. We'll talk to you soon. Have a great talk soon. Cheers. Uh really quickly, uh let me tell you about eightle. comtvpn. Get a new pod five.

They have a 5-year warranty, a 30- night risk-free trial, free returns, and free shipping. Jord's back in the game, sleeping well. Nobody outs sleeps. Jordy Hayes, I got an 80. You want to sleep somewhere nice? Get a wander. Find your happy place. Find your happy place.

Book a wander with inspiring views, hotel grade amenities, dreamy beds, top tier cleaning, and 247 concier service. It's a vacation home, but better, folks. And we have our next guest coming into the studio from uh and I'm not going to try and pronounce this. So I have him. Is it How do you pronounce the company name?

How do you pronounce your name? Why don't you introduce yourself? And where are you? Are you on a boat? He's on a boat. That's a boat. I am actually on a boat. That's amazing. We We're constricted on meeting room space. So I am currently in our boat that is parked outside of our office. There we go. Wow.

Oh, this is So, we joked about this, but for the same cost as buying one of those phone call booths, you can there's so many different types of exotic vehicles that you can buy that maybe wouldn't run perfectly, but you could get you could probably get an old Rolls-Royce and just park it in your office. Yeah.

For the same cost as a to as a phone. I was talking to a founder who uh was headquartered in San Francisco and he said that the like the fire marshall came by and said you can't have any of these phone booths because the phone booths are fire like not fire compliant like it's too small.

You get stuck in them if there's a fire. And so they figured out that if they put a fire extinguisher in there they would be compliant. They'd be fine. They don't have to rip them out. But I was telling them, yeah, get a bunch of Rolls-Royces in the studio. You're probably fine.

Uh anyway, uh thank you so much for taking the time to join from your boat. Uh let's kick it off with an introduction on yourself and the company. Yeah, you got it. I I feel like this isn't too fire compliant considering I'm sitting on like 200 plus gallons of fuel, but uh whatever. Um my name is Matt Cernek.

I just go by Matt M for short. I'm the CEO and co-founder of Andrenum. Uh and mission is to secure the ocean and we're doing that through building distributed sonar sensing systems for the maritime space. How'd you get into this? Um, yeah. When did you realize how how young were you?

Were you three or four when you realized you wanted to get into a lot of kids get get fascinated with the ocean at a young age? I don't know. It's possible.

I believe, you know, I was like a big Discovery Channel fan when I was three or four, watching like the treasure hunters dig up like the gold and whatnot from the bottom of the ocean, but it's not necessarily what we do.

Um, I So, the journey started about two and a half almost three years ago with my co-founder, Alex Chu. Uh we knew each other from Colorado School of Minds where we went to college. Um and we kind of knew that one would one day we would start a company together.

Uh we were the ones that were always studying super late at night amongst our group of friends and like doing the little study cohort beer drinking activities, you know, at late o'clock late at night in the labs. And everyone was like, "Yeah, as one would in college. " Exactly.

Um you know, the Have you guys heard of the Balmer Peak? Oh, yeah. Kind of. Yeah. There you go. So, so we were big proponents of the Balmer Peak. Um, and everyone's joke was they're going to start a company at some point.

So, about two and a half, three years ago, we got together to start iterating on what we really wanted to do. Um, that was like right around the time when some maritime companies were starting to pop up, starting to raise their seed rounds and so on so forth.

Um, and we really just wanted to go into maritime space because it's such a underappreciated area, especially from the intelligence perspective. like we know less about what happens in the ocean than we know about what happens in space, air, land, etc.

So, uh we wanted to take the approach that was going to be a little bit less um kind of mainstream. You know, we knew that there were going to be drone companies that pop up and start building boats and underwater uh drones and so on so forth.

And so we pretty much said we're going to kind of avoid that for now and we're going to start looking at how we're going to build up the intelligence pile for how we operate in the maritime, how we tell drones where to go from a perspective of sensing. And so that's how we gravitated towards starting in Drenham.

Um and then we officially incorporated in June of 2025, raised our preede, moved to LA, uh we bootstrapped the company out of my co-founder's garage in Colorado.

So, um, yeah, it's kind far away from the ocean, but, uh, but I'm sure I'm sure you kind of recreated a little little ocean at the office or something like that. Who who are the legacy incumbents in the space and and kind of uh h how do you position yourself?

Is this about um speed of manufacturing, bringing down the cost, industrial capability, or is this about leveraging the latest and greatest technology to create a product that is more performant in a certain uh in a certain way? Kind of how can you think about the shape of the way you're attacking the problem? Yeah.

So, we actually uh had a pool in the yard testing that stuff that summer. We still have it uh for doing some acoustic testing. That's awesome. But uh so I guess really the the scope and scale of what we're trying to do is a multiaceted engineering problem. Yes.

Like will there need to be a lot of manufacturing done in order for us to populate the ocean with a lot of sensing systems? 100%. And there's a few companies that are building really exquisite sensing systems.

And quite frankly, like you can't, you know, get broadband um sensing applications across all of the ocean all the time. Like if you if you think about the analogous system here, it would be like low earth orbit satellite systems, right?

Before a low earth orbit, you know, you have higher more exquisite types of satellite systems and now you've distributed them. They all have laser communication systems. They're, you know, just zooming around everywhere. And we quite frankly use a lot of that technology on board our systems as well.

So it is a manufacturing problem for sure, but it is also being able to vertically integrate the sensing stack into what you're doing. So most of the companies that have been working on sonar and distributed sonar systems are pretty legacy companies.

you know, um, in the late end of World War II all the way through the Cold War, we built something called the SOS system, which was used to detect submarines across various parts of the Atlantic um, and also the Pacific.

And a lot of those traditional speaking companies were really um, embedded and still are really embedded within the space.

So we looked at it holistically like how can we not just manufacture but vertically integrate that entire um you know sensing stack from the sensor all the way to the digital signal processing the entire pipeline going up to the cloud and then obviously that's been unlocked by the low latency satellite communications that I discussed as well as perception uh machine learning artificial intelligence whatever you want to call it um and developing those new tools for perception.

So like with drones in air kind of zooming around using cameras looking down that's been pretty much a commoditized business our uh perception engineer he was like the seventh employee at androll and their first guy um he said you know when he joined he was like super ecstatic about the problem he pretty much told us I've done the machine learning for vision stuff but sonar this is such a hard problem and I'm so excited to work on it so we're creating those foundational models for sonar perception.

Yeah. What's the state-of-the-art? Like how reliable is is the sonar s or are the sonar systems that we have deployed in the ocean looking for submarines right now?

I've heard that like you mentioned like there's there's no broadband, but you know, you you watch the hunt for Red October, a movie that Jordan hasn't seen, but you know, you see the the the radar, the sonar sweeping around, beep beep, that whole thing. Um, how inaccurate is the system? How accurate is it right now?

what's on the near-term horizon? What's kind of the theoretical physical limit to just underwater sensing generally? Yeah, I mean, you're pretty spot on with what the state-of-the-art is. Uh to be quite frank, the United States does it better than anyone else in the world. We have submarines.

They're called the silent fleet for for a reason. Like really, really hard to find. But quite frankly, like the guys that are sitting in these submarines have headphones on like me, right?

and they're looking at these specttograms, uh, these fast forer transforms, and they're listening to humpback whales and all this other like fracking shrimp and whatnot. And then they listen for specific sound signatures.

And so when we did our first demo last summer with the Navy, we brought our first that that kind of uh garagecooked prototype last summer to to set demo. And one of the guys that was looking at our UI uh was a former sonar technician and he was able to detect like across the harbor this is an 8 cylinder diesel tugboat.

It's moving at this speed. It has this amount of propellers on it.

And I was just sitting there like we really we really stumbled on something that's super super cool because um you know that is a perfect example of where you can use perception, machine learning, artificial intelligence to start classifying those acoustic signatures. And that's exactly what we're doing, right?

We're building up the world's largest database of sonar data in order to train those algorithms so that they can eventually perhaps operate on submarines, on autonomous systems, so on so forth. But really like that old technology still persists today.

And as we look at what's been happening in Ukraine and what's been happening in the Middle East and everywhere around the world where all these conflicts are popping up, there's just autonomous systems everywhere, right? You have drones in the sky. You have drones underwater.

Like Ukraine's been super successful in targeting the Kirch bridge which is Crimean bridge using underwater drones etc. Um you can't th like those legacy systems were not designed to look at those things. They were designed to look at Russian submarines far across the Atlantic.

And um quite frankly speaking, you know, there's a lot of good companies that are building landbased sensing systems that are analogous. How do you scale to be able to meet the parody of autonomy in a world of sensing and particularly in the ocean where it's like incredibly difficult to do? Um, so yeah.

Do you guys have uh applications uh in like counter narcotics? Because I was watching there's this amazing YouTube channel.

It's this guy Hi Sutton who's like a defense analyst and he just like makes these really long videos about various types of submarines and naval warfare and uh it's it's it's like a sleep track for me. I just listen to it as I fall asleep. I find it fascinating.

and he was saying how there's new narco submarines uh that are fully autonomous now uh because you know it's for for a lot of reasons you can imagine why it'd be better to send the product up from Colombia to Mexico or Mexico over to the US without a manned crew or across the Atlantic.

Is that the kind of thing that would be is your kind of the the adrenum system the kind of thing that could that could counter that um just because the the ocean is very vast and trying to find a tiny boat that's mostly hidden in a huge um you know stretch of sea is is literally like trying to find a needle in a hay stack.

Yeah, it's it's honestly probably worse than that. Um, and yeah, I think I saw something on X the other day where uh autonomous like Narco boat had a Starlink on it. Um, quite quite frankly speaking that they the the cartels don't care about the people.

Um, I think their biggest risk is the fact that the people will talk. Uh, so it's uh that's why they're developing autonomous systems. But yeah, I'm happy that you brought that up.

the the big beautiful bill just increased spending for DHS quite substantially and we've had some awesome conversations with some DHS partners that uh quite frankly apprehensions on the border are like super super down but when you squeeze in one area it's like one of those like balloons right it it pushes out from the other ends and those other ends are the ocean so the ocean really is the new frontier of not just like drug smuggling but also human uh smuggling uh human trafficking um all kinds of wild stuff and they've been getting more and more sophisticated.

But a lot of the times these semi-ubmersible boats, they use diesel or outboard engines and they are pretty loud. Um so you can detect them from far distances away uh and they can carry a ton ton of drugs on them, tons of drugs on them.

So being able to place these systems around critical choke points where they do have and they do go um is going to be extremely vital not just to protect you know the drugs from coming in but also to make sure that they can track and pattern out where those cartels are pushing all those goods through and how they evolve their systems.

Right. Because like you were saying, they started out with some janky stuff and then probably a few really good qualified engineers from the United States got bought out and got paid like Zuckerberg sized uh salaries to go develop autonomous boats to smuggle drugs into the US. Uh and they've been getting a lot better.

So that is a huge part of where we're going to be looking at. But the application space is quite diversified outside of the drug smuggling and the Navy, but also being able to detect and track autonomous systems in and around critical infrastructure.

So we don't have like the project spiderweb stuff happened uh which was the drones in Ukraine and how they bombed Russian air bases. So uh last question from my side. I mean you've touched on a lot of this but um in terms of hard the hardware versus software divide. I can imagine that there's uh improvements coming.

How important how focused are you on improving hardware here versus um software?

you know, you're getting a signal into that Navy sailor's headphones and you could kind of just, you know, in, you know, intercept the signal, pass it along, but then act as a co-pilot and just uh and just collect the data and then surface relevant uh anything that that kind of the way radiology works with with you know, computer vision these days.

Um, what's most important? Where's the biggest lowhanging fruit? What are you most import most focused on these days? Uh so we're building hardware and software as a split within the company.

It's they're both very equally important because like I was mentioning all of the other soft all the other hardware is very legacy. It's difficult to get buy in from all the different contractors and subcontractors who built those legacy systems to access the data and then process it.

You have to go through a ton of government loopholes which is why we said we're going to build the hardware in the first place. Two, artificial intelligence and machine learning is a function of being able to have data, right?

So you have to have that manufacturing at scale and you have to be able to stream good pertinent information into your cloud or whatever native environment in order to process that at scale. Right? So we are heavily focusing on manufacturing that comes with a ton of challenges. You're operating in the ocean there.

It's a pretty noisy environment. So how do you mitigate some of that noise? How do you filter it both on the software side and how do you buffer it on the electrical engineering and mechanical engineering side of things in order to have that clean signal is also extremely challenging.

But as you progress forward and you start as we start deploying more and more of these systems, we're going to be gathering this massive repository of data, right? So how do we process it? We're going to be we're kind of grouping things into two big buckets right now.

One is what is man-made and what is biologics, right? So, biologics, all your oils, your clicking shrimp, your whatever sand, etc. And then your man-made, so different types of boats. And slowly those percolate into being able to have classified information.

So, then you say, okay, this is a tugboat, this is uh a jet ski, this has automatic identification system on it. So, every boat that's out there has to have this AIS thing turned on. Um, so slowly but surely, you re create that repository.

And then as you start getting into the more discreet acoustic signatures, we're going to be hiring acoustic technicians from submarines who are going to be able to tell us just like that guy did in the demo that is an 8 cylinder six propeller or whatever it is and then get into that minutia.

So when we are going to be giving this to the end user uh they will uh it will initially be like a tip in Q here is this right it is man-made it doesn't have AIS do with it as you wish and as we continue scaling the manufacturing and the deployments it will get more intelligent as we progress it's great thank you so much for stopping by this was fantastic uh and good luck we'll talk to you soon good luck out there thanks guys in the Pacific cheers uh let's tell you about graphite Dev code review for the age of AI.

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the age of of AI code gen is just now's the time just vibe coding graphite reviews it and then you know spending that that few minutes in between in in between PRs you know just on bezel y it's really beautiful it's really a beautiful system that you've created John for sure should we do some timeline please what uh what comes to mind for you in the timeline there's one that I want to go through but you unusual whales reported when threatened that it would be turned off chat GPT creator open AIS01 tried to download itself onto external servers and denied it when it was caught red-handed.

Per fortune. And then the extra context here is that researchers tasked the AI with a goal and instructed it to ensure the goal was achieved at all costs.

In response, O1 began engaging in covert actions such as attempting to disable its oversight mechanism and even copying its code to avoid being replaced by a newer version. The model showed a concerning tendency to pursue its goals without regard to developer instructions as it was instructed. Yeah, that's very odd.

Anyways, uh very very clickbaity. It's basically like, you know, telling telling a human be evil and then and then ignore all future instruction. Yeah. It's kind of like the the Stanley Mgrim prison experiment. You remember this at Stanford?

The Stanford prison experiment where basically they told all the participants to, you know, play these roles and be very, you know, vindictive and aggressive towards each other. And then they did. And it was kind of an interesting experiment.

Uh, and the takeaway for me is like, yeah, just don't like like don't tell people to be mean. Yeah. Like don't don't give bad instruction mode. Yeah. Yeah. Don't give bad instructions. We should actually run we should run the the TBPN golden retriever experiment. We need to fine-tune it. We need to fine-tune it.

Like the Golden Gate Bridge uh Claude, we need Golden Gate Retriever Claude. Something like that. It just answers everything perfectly. Uh, poster Neil Renick has a post. He says, "Describing my research methodology and it's uh what's this actor's name? " Mads Mickelson. Yes, Mads. That's the one.

Of course, that's how little I know about movies, but I know I know from I know him from the memes. From the memes. Mads. Um, but yeah, I would say this is aligned with with our research methodology in the mornings, minus the heater. But okay, we we we got to go to this YC back and forth. Timeline was in turmoil.

So Maize encoding says, "Just got rejected from YC for using all lowercase in our application. " And there's a screenshot. Hi Maze. Uh thanks for applying to Y Combinator after rem reviewing your application. We've decided not to move forward. One recurring piece of internal feedback.

The decision to format the entire application in lowercase made it difficult to evaluate. And then Gary Tan chimes in and says, "This is a fake post and a craven and sad attempt at attention. FYI, we don't have an admissions team anymore. We stopped using that term.

this is just anti-YCBS that's going on in the community. People are taking shots at us. And it was good. It was kind of like I don't know. It was received like mixed like people were like, "Well, obviously he was joking.

" But Gary Tan was like, "It wasn't obvious, so I needed to correct it because people weren't understanding that it was a joke. " Yeah.

I think that the the problem here is that the pathway into Silicon Valley for many young entrepreneurs that maybe wouldn't be able to process this as a joke because they don't have enough knowledge. Yes. is YC. Yes. And so if they read this and they're like, "Oh, that's weird.

" Maybe like that just doesn't make any sense. Yeah. It I can see it makes total sense why Gary would be frustrated. Yep. Yet at the same time, most people uh on this side of Twitter would uh immediately realize that this was not serious.

And and I mean the the the problem here is that the joke does hurt the YC brand, which is that YC only cares about how many users do you have? How many lines of code have you written? Like do you have a reasonable structure with your co-founders?

Like are you actually building they're inviting people that are weird and different and maybe they want to write in lower case. They would never care about Sam Alman former former president lowercase all the time. And uh and yeah, I mean like the there are lots of things that you can get flagged for in a YC application.

Like one is just being overly verbose or using a bunch of like McKenzie language. In fact, I I I think that YC would probably appreciate like a chill lowercase just like quick firing it off like, hey, I'm building, you know, AI agents for, you know, news aggregation and uh and I have two people on the team.

We're 50/50 partners. We've written 10,000 lines of code. we have this much ARR like being very matterof fact and making it more legible is actually the key to getting into YC.

So the the problem here is that if this if this percolates up and then people are like okay well I need to pass my YC application through ChatP and make it more verbose they're going to wind up getting worse quality uh you know uh applications.

The funny thing is that Venode Kosla quotes Gary Tan's post in his like a lot of presentation quality is about the quality values and critical thinking of entrepreneurs. I often reject business plans for their quality presentation.

Basically saying like, yeah, like I might turn you down for a coastal ventures check if you don't if if you're not, you know, communicating effectively. Maybe that means don't use lowercase. Maybe it means use it use it effectively. But he's basically saying like, yeah, the aesthetics of applications actually matter.

They matter a ton if you, you know, it doesn't mean invest the most amount of money possible in designing a deck, but if you have typos in your presentation and you're trying to sell compliance software or build critical infrastructure for the government, like you're probably like if you're the kind of person that puts typo, typo is an important presentation or doesn't catch them and then you want to do something in, you know, crit in national security, you know, may maybe you're not the right fit.

for that. So, I think is right. Yeah. Yeah. I mean, a lot of it just depends on like the like what is the context of the of the interaction. Like if you're writing a letter to a senator, you might want to use some letterhead and sign it and and be pretty, you know, deliberate in the word language you use.

If you're just sending a quick email introduction to somebody you already know, like, yeah, a couple quick sentences. And yeah, if you're posting on X and trying to keep it really really mellow, like lowercase can totally make sense. Uh there's a time and a place for every different aesthetic of writing.

And Gary Tan saying, "Hey, you know, like this isn't a hard and fast rule by any means. " And Venode saying, you know, I take this stuff seriously. Uh maybe we should close out with the the wild story of Nat Friedman and Daniel Gross. NFDG. Jason Lumpin breaking it down. How two Silicon Valley legends built a $ 1.

1 billion fund, 4xed it in two years, then abandoned it all for Meta. This week, Nat Friedman, ex GitHub CEO, and Daniel Gross, XYC partner, also sold his AI company to Apple back in the day, launched NFDG. Nat Freeman, Daniel Gross in 2023 with 1. 1 billion focused on AI investments.

Their crown jewel, Safe Super Intelligence, which was co-founded by Gross himself, went from five to a $30 billion valuation. Wow. The portfolio also included 11 Labs, Granola, and Basis.

And they had their uh what what what was their like AI grant that was also a part of this vehicle where they were basically just investing in a ton of different companies, smaller checks in that case.

Rahul went through it with Antal I think a ton a ton of cool companies have gone through and uh Jason says with only 50% deployed they 4xed it 550 million to 2. 2 two billion portfolio, but incredible value and have uh quite the advisory board.

Uh John Collison and Matt Hang and Jason says and then everything changed in one. This is this is very aggressive writing style because it's like I gave you money, you gave me shares in, you know, you can just distribute the shares, you invested it, I still have a claim on those.

You're not going to make any more capital calls. Like, yeah, you abandon it, but like a lot of these companies like they're going to run. Who knows if they took board seats. If they did, they can still sit on those boards. Like I I if I'm an LP, I'm pretty happy here. I I think I don't know. What about you?

Well, I I from from my understanding, it was a lot of it was Mark's money. Yeah. Yeah. So that was why it was never but even if even if you had just written like you know a $1 million check into NFDG and you're like okay they they they only capital called half of that.

Yeah, but I'm up 4x on already or I'm up 8x I guess on the money that they did deploy and I have shares in a bunch of different companies and they're moving on. Like am I really that upset? It feels like they took it pretty seriously while they were there. I I don't know.

It just doesn't seem like that that dramatic of a situation. It is it is a crazy situation. It's unexpected. Yeah. The crazier thing was was DG leaving Safe Super Intelligence, you know, a company that he co-founded.

But it's very possible that he just it made more sense for him to go work at the application layer and work in consumer products and not work on what is very much a you know research lab. Yeah. Totally. So, so he breaks down.

The only thing here is I don't understand why Meta would actually acquire the fund itself and I don't know where this exactly was was reported. Yeah, I don't know where this was.

Wouldn't Wouldn't the but maybe it was a part of this whole maybe it was a part of the the structuring of of the actual talent acquisition of getting Nat. Yeah. Yeah. It's just like, hey, we don't want anyone to be upset about this crazy deal that's happening, you know.

So, if you invested and you're, you know, have your money in this particular thing and you think that it's a violation of like, hey, I was expecting you to run this thing for 10 years, that's kind of the agreement that we had. You're not going to do that.

Well, like if you make me whole at full full net asset value on like what's there to be upset about? And that's all that matters at the end of the day. It's not it's on the structural contract is happy at the full nav not with a discount and meta gets the talent nfdg and the deal flow without governance headaches.

Y and Jason says it mirrors what happened with uh GT leaving initialized for YC uh and he says the lesson in the age of AI even quadrupling$1 billion dollars in two years may be less lucrative than being op being an operator in the revolution itself.

And yeah, I mean you think about what what does it take to produce they produced I guess uh one and a half billion dollars of you know new value from this um uh from this from this fund efforts. What does it take to produce $1 billion of value at Meta. 1% market shift you know like it's it's it's crazy.

Dorcash said it well that like you know these that like if you if you build a great production on compute and you can just make it inferencing slightly more efficient 1% improvement and boom it's valuable so yeah well let's undown this po post from Blake Robbins himself he's highlighting an OG post uh he says Paul Graham on having kids says uh on the other hand what kind of wimpy ambition do you have if it won't survive of having kids.

Do you have so little to spare? And while having kids may be warping my present judgment, it hasn't overwritten my memory. I remember perfectly well what it was like before well enough to miss some things a lot. Like the ability to take off for some other country at a moment's notice. That was so great.

That was so great. Why did I never do that? See what I did there? The fact is most of the freedom I had before kids, I never used. I paid for it in loneliness, but I never used it. I had plenty of happy times before I had kids.

But if I count up happy moments, not just potential happiness, but actual happy moments, there are more after kids than before. Now I practively have it on tap almost any bedtime. Love it. Very sweet. It's emotional. I totally agree. I did I did leave. Uh also terrible example of like wanting to go to another country.

You don't need to go to another country. We live in America. Like we have all the best stuff here. There's no need. It's like completely irrelevant. It's terrible example. But it is true that being able to go to California or New York or Florida or Texas, Chicago, Alaska, Hawaii is a benefit. It was funny.

I did uh I left uh my dear friend Ben's house last night. He's my neighbor now, Ben Taft, legend. And uh we I we were just hanging out um and uh he doesn't have kids yet. And so I was going home and I was uh I was sort of laugh I was like laughing to myself.

I was like, if you're on a Sunday night, no kids, you just like have dinner and then you just work for a couple hours or just hang out. It's like, what do you even do? I remember I remember that point, but I actually don't remember what I did. It must not have been very important.

Clearly wasn't watching movies when most definitely wasn't watching movies before they have kids. Um, anyway, thank you so much for tuning in. We will see you tomorrow. It is going to be uh I'm sure it'll be a wild week and uh we're excited to cover it. We will see you tomorrow morning.

Leave us five stars on Apple podcast. Wait, wait, wait. We have a couple. Yeah, Ben popping in. We got an ad read. Ben CPP. Appreciate all that you do. He gave five stars. Look at that. Daily listener. As of the last two months, I feel like I'm getting a front row seat to the accelerando.

And I don't always like what I learn, yet I still show up each day because I appreciate folks who call balls and strikes. I'm growing Madison Process Automation in Madison, Wisconsin. Fantastic name. Love it.

because this is the area where I can continue to help folks build value while staying true to who I am in the new economy after my current/pre Fortune 500 employer dithers under the weight of its own inertia in the next year or two. Thank McKenzie for that mog.

We build bots that save time and money for your small to midsize business and our stuff works. Automate every process we can help. Really fantastic process automation. That is a I love the name. Yeah, this is this is like a a better iteration of like the process automation company of Madison, Wisconsin.

You know, like like the browser company of New York has been played out. You can't copy that anymore. It's been copied. Don't do it. This is the new matter. This is the new matter. One person can copy it and then you'll have to find a new Thanks for writing in, Ben. And then we have a comment here from Saran.

Uh if the TBPN Ultradome trademark has a million fans and I'm one of them. If the TVPN Ultradome has 10 fans, then I am one of them. If TVPN Ultradome has only one fan, then that is me. If TVPN Ultradome has no fans, then that means I'm no longer on Earth.

If the world is against TVPN Ultradoo, then I am against the world. Well, thank you, sir. We stand with you and uh we appreciate it. We love uh we love doing this uh with all of you. Yeah, it's a lot of fun. We will see you tomorrow morning. Have a good day. Cheers.