BizTech Superhero

Joshua McNary [00:00:00]:
Welcome to the BizTech superhero, the podcast that enables you to unleash the technology superpowers within your business. I'm your host, Joshua McNary. I'm joined by today's superhero, Conor Borrego, founder of Playhaus, a blockchain data ownership platform based in Kansas City, Missouri. I'm looking forward to talking to him about his startup's progress and, most importantly, learn about the technology he uses to empower it. Conor, welcome to the show.

Connor Borrego [00:00:26]:
Hey, Joshua. Thanks so much for having me. I'm excited to be on.

Joshua McNary [00:00:29]:
So for folks that are just meeting you for the first time, could you share a little about who you are and what you do?

Connor Borrego [00:00:34]:
Yeah. Absolutely. So my name is Connor Borrego. I'm originally from the Metro Detroit area. I did my undergrad at the University of Michigan and got a master's degree with Syracuse. My claim to fame, I guess, from my career is having worked as an AI product expert at Google and helped small businesses that had raised half a million to $50,000,000 to build data warehouses to save money on Google's advertising programs. So, you know, ultimately, four years ago, I left Google to start my own business called Playhaus, where we would help the other 90% of businesses that I met with during my time at Google who I was unable to help support, to provide the same solution, because of changes that are happening in the advertising technology landscape. So, yeah, that's that's me.

Connor Borrego [00:01:24]:
That's kinda my background. I've been in advertising technology for a little over ten years now. And, yeah, I'm just super excited to be on, talk more about this. My solution really is focused on, addressing maybe you guys have heard of cookies. If you've been to websites, you often are asked, do you accept these cookies? And, that often powers the vast majority of the marketing technologies that we often rely upon. The privacy legislation in Europe and California and now about 13 other states in The United States have passed laws that essentially make cookies illegal, and we've seen changes from, like, places like Safari, Apple's, you know, browser Yep. Strip cookies out of their system, and that's had impact on Facebook advertisers and Facebook itself. So it's it's a very core essential technology that needs to evolve with the the legislation.

Connor Borrego [00:02:23]:
And, you know, my company recognized an opportunity to apply blockchain technology to the solution to help businesses take ownership of what's called first party data and to replace the cookie with this first party data system.

Joshua McNary [00:02:37]:
Right. Right. And and that's even I mean, it's also being forced. You mentioned the Safari stripping the cookies out, but, I mean, Google themselves have been changing their relationship to cookies over the last number of years and and other platforms, modifying how they're doing things. So it's it's not even that, it's not even that I mean, it's amazing that your company is doing something about it, but it's also like it's being forced on us. We have to do something about it.

Connor Borrego [00:02:59]:
Absolutely. And and most businesses are unaware of the this, you know, kind of change that's gonna happen unless they happen to have already been relying on Facebook advertising, then they've probably woken up to this problem once before, and they're already looking for solutions. But so many other businesses are completely unaware, and they're gonna be caught flat on their feet. So but yeah. Anyways, the the Google Chrome team, the the engineering team over there wants to strip cookies out of it. They're very ethical. They're open source led. But, obviously, Google's entire business model is dependent upon that cookie ecosystem to power their ad space.

Connor Borrego [00:03:36]:
So there's this obvious struggle between the revenue generation that the business dependent on, which as a public company, they have a responsibility to maintain. And then, you know, obviously, the legal, ethical changes that are being driven by the industry, by politicians, by consumer demands.

Joshua McNary [00:03:54]:
Yeah. So that whole landscape around cookies and all these things are has has really changed the landscape and your product, your service is handling trying to solve for that now. So I wanna learn a little bit more about that, kind of elevator pitch style. I know you have a lot of different angles to what different layers to what you're doing, but can you kinda explain for the people listening before we get into your technologies you use to actually run this thing and be productive? I'd like to learn a little more about what you do so people have good clarity on that.

Connor Borrego [00:04:23]:
Absolutely. Okay. So what we're focused on doing, right, is taking data from Mailchimp, from Stripe, from Shopify, from WooCommerce. You name the technology or tool that you're using to run your business. Now the focus is mostly around the point of sale systems, the CRM systems, and the advertising technologies that you that you're using. But the reason I talk about all the other technologies is because when you're building a data warehouse system that is looking at performance analytics from an executive level, a top down perspective, you have to be mindful of all the other analytics that support different departments that are gonna be important for monitoring for the business. And oftentimes, while it's not intuitive to some of us advertisers, many of those other department silos have data that is indirectly related to our marketing metrics. They can actually help inform the performance.

Connor Borrego [00:05:22]:
And the best example of that is when, basically, a CRM system and a point of sales system are disconnected from the advertising system, and we know that we're getting a whole bunch of inbound qualified leads, but our sales team doesn't have the capacity to actually manage all the leads. And so we aren't responding to them fast enough, and that's how we're losing business. Right? And that's not necessarily an advertising problem, but you might notice the problem on the advertising side first. So, essentially, what Playhaus is doing, like I said, is we standardize the data we pull out of those series for what's called time series analysis. We look at things on a daily interval, on a weekly interval. Sometimes it's by the minute. It really depends on the piece of data you're trying to analyze with time granularity you wanna look at it. It's kind of like trading stocks.

Connor Borrego [00:06:14]:
And Mhmm. Because of that, we use Bollinger Bands to monitor how those business metrics oscillate throughout time. And we use it basically then to create marketing experiments that we run on Google and Facebook ads to drive different metrics to greater efficiencies.

Joshua McNary [00:06:35]:
Mhmm. Mhmm.

Connor Borrego [00:06:35]:
And Yeah. Oftentimes, the way that we're doing that is it's still more or less the same identifier that would be passed through via cookie. But because we're capturing it on the server side for the client, we're able to, you know, still retain the the identifying information to pass back to the other system so that we can have, visibility on the success criteria. And the reason why this is super important is for, you know, training AI system. And you need to be able to show that you can get 30 successes in a two week period in a two week period at a minimum in order for any one of these Facebook or Google Ad systems to give any sort of weight or credibility to your, campaign essentially. Because that's the that's the basis that it's making its determinations on, and that's act their its confidence in its ability to drive conversion is what's dictating the CPCs that are being passed on to a business. Yeah. So, ultimately, that's what this system is doing in sort of an automated capacity.

Joshua McNary [00:07:43]:
Right. Right. You're you're being able to provide better data to well, provide better data to the to your customers so that they can make better decisions about how they wanna use these other platforms and essentially, be able to be get better performance at the end of the day, in in the in the landscape that we're in today with regards to the the lack of cookies, the artificial intelligence opportunities, all of these things, and that's why, you know, we met at our AI conference. Right? Because we were thinking about a marketing, conference as well.

Connor Borrego [00:08:12]:
At at the end of the day, what I'm doing is abstracting all of that technology away from an agency or from a business so that they can basically log in, click, connect to Facebook, connect to Google, and then essentially load up creative that will deploy campaigns without their knowledge that are best practices for their own benefit. And then as they monitor the metrics, they come back in. Obviously, our system is running off of that, that time series observation forecasting model, but there's an LLM that is interpreting the data for you so that you're not your eyes aren't glossing over while staring at charts trying to understand what the significance of this is. Ultimately, there's a dashboard where the LLM is proactively saying, hey. Look at this. This is what I think what's going on. Yes. That part is under development, so that's that's a feature that I'm working on.

Connor Borrego [00:09:06]:
Currently, it's more about the automation of the of the advertising itself and providing a portal to monitor those analytics. And we're operating as an advertising agency today as a result because the technology is not ready to scale necessarily. Right. But that's what I'm working on and hoping to get to in the next eighteen months. And so that's the pitch that I have to give to investors. And right now, we're looking for product market fit.

Joshua McNary [00:09:28]:
Yes. Well, and I'm on I'm on a newsletter of yours that's, you know, gives these updates and and such since I met you. And, so, I'm getting that message too and and and know that you're making lots of progress and have lots of places to go. It'd be interesting to see, you know, at over the next year, eighteen months, couple years, looking back at this show and where you're currently at and and where you're going. It's gonna be fun to fun to watch.

Connor Borrego [00:09:48]:
So Absolutely.

Joshua McNary [00:09:49]:
So with regards to being a a biz tech superhero here, honestly, you have a technology that can be used by people. We'll definitely come back to that at the end. You'll make sure people know where they can, find find more information about your offering. But with regards to, the balance of the show here, I wanna get into how you're doing this and Yeah. How you're what kind of technologies and tools you use to both work your products as much as you're willing to share. As as well as then, you know, your own world, you know, of of managing this business and such, and actually getting the job done, how you're actually gonna get 18 from now to the some of these goals that you have. So, yeah. Tell me a little bit about your kind of internal stack, both for the product and or for your own business purposes.

Connor Borrego [00:10:30]:
Yeah. Absolutely. I think it's best to share my tech stack through my own personal technical skill set journey because that's kinda how my tech stacks evolve. So, essentially, at the beginning of college, I started building my first websites ever just because I was a hobbyist and was helping my dad's business out, and it was a WordPress site. So, basically, I am a WordPress developer because that's where I happen to start is how I would describe it. So more often than not, when a client comes to me and they're looking to get a website developed, I'm often building a WordPress site. I like the Elementor plugin in order to build the front end of the sites. And then I have a couple of tools that we use on the back end to do the site speed optimizations.

Connor Borrego [00:11:15]:
I don't actually know the tools by name because my partner, Pema, does most of that work. Mhmm. But, ultimately, we make sure that your site speed meets the Google page speed metrics because that's, like, 30% of your CPC cost. And that's one of the things that we always highlight for people. Whether you go with us or not, you have to focus on page speed score. You know, anyways so, WordPress is is big foundational element to that. I'll use Elementor. I use CrocoBlocks, JetEngine in order to do custom post types.

Connor Borrego [00:11:47]:
That's my preferred tool for it. And then, I also use essential add ons for Elementor, and that's that's just like the the web stack. Yes.

Joshua McNary [00:11:55]:
Okay.

Connor Borrego [00:11:56]:
So, in terms of, like, what I'm doing to build our our actual technology, it is a Django framework, which is Python based language. And so when I started my first job out of college, I had an opportunity to work underneath the CEO in the ad tech space. I was a a sales guy, but I started to automate some of my sales work, and they liked that and started to allow me to learn SQL. So that's how I started to get my legs into the data science space, and I ultimately went back and got a master's degree learning Python. And so Python is kinda my foundational, you know, software, you know, technology, what I use for everything, that in SQL. And so oftentimes, I do a lot of my work in Jupyter notebooks to produce one off scripts. Lots of people kind of probably do something similar if they use make or Zapier and drop a script into one of those cells. I have never been a big user of maker Zapier, not because I don't think they're great technologies.

Connor Borrego [00:12:58]:
I really do. It's just I can do some of the stuff in Python, and so that's why I do it over there, and it can be cheaper for me to do it that way. If, if I need to run, you know, an automation, like that like, you would run on Maker Zapier, oftentimes, I'm writing that as a Python script, and then I'm using Google Cloud Run to deploy that. And, like, I didn't know how to do many of these things eight months ago. Okay?

Joshua McNary [00:13:25]:
Okay. Great.

Connor Borrego [00:13:25]:
That out very clearly that, like, well, I could write some Python scripts. I could transform data. I could turn it into pretty charts. I could clean it. Like, that was what I was capable of ten months ago, a year ago. Right. Okay?

Joshua McNary [00:13:39]:
Right.

Connor Borrego [00:13:39]:
That was the word prep the WordPress thing. You know? Yeah. With the will

Joshua McNary [00:13:43]:
with the will, there's a way. And certainly, in today's landscape of technology, there's lots of great ways to learn these skills. And then the tools that we have are more capable than ever as well. So you can you can you can ramp up very quickly with some some base technical knowledge.

Connor Borrego [00:13:59]:
Yes. Exactly. So I've been taking the base technical knowledge, and I've been working with ChatGPT, with Claude. And primarily for since, like, August of last year, '1 hundred percent of my coding is done inside of Cursor. And I know everyone's got their own, you know, preferences for, you know, you know, AI generative code supporting. But I would call myself a technical product manager with a strong foundation in data systems architecture. And with that background, I have felt very capable at directing the LLM to help me build the front end portal of the of the tool I'm trying to build. And then I'm often auditing the back end calls and the data structuring and the data models because that's where my expertise comes in to make sure that core foundational piece is done well.

Connor Borrego [00:14:51]:
And even though I don't necessarily have never really written a project before, because I understand some of the limitations that the LLM has in terms of its context window and the way that projects evolve over time.

Joshua McNary [00:15:05]:
Yes.

Connor Borrego [00:15:05]:
I've been able to refactor what the LLM has built for me and keep my, my folder structure, my my project directory clean enough so that it should be easy for me to constantly add on these new features, support new sources of data for this abstract data model that I'm building. And that piece is really crucial for what I'm trying to accomplish, which is helping people own their data. So I for me, these LLMs have been, like, a game changer unlocking insane, you know, amounts of efficiency for me personally. But it it is not just limited to coding. It's helped me fix a window on my car, fix pipes in my basement. It's helped me restore an antique window. Like, the number of things that it's just I've been able to ask in LOM, how would I go about doing this? And it gives me clearer, better instructions that I can then ask follow-up questions with in a way that a YouTube video never has been able to do for me.

Joshua McNary [00:16:04]:
Right. Absolutely. I mean, that's been a theme here on on many of the shows here recently on on the BizTech superhero, people using the AI tools in different ways. I think for I think for you, what's interesting is, talking to you today is okay. You're you're using platforms like Cursor, which, just to be clear for those that are listening that maybe don't know what that is. I mean, this is an AI based coding platform or or, ID type environment that can be used to generate code for you and answer problems with regards to code specifically and has lots of tool sets around it to allow you to do that very efficiently. But you're using that. But then but then in addition, you're doing your own too.

Joshua McNary [00:16:42]:
You're building your own variation or, I guess, I'm not sure what term you would use for it. But, I mean, it's essentially it's a it's a a product that's using an, a customized or custom, AI, interpretation to actually run your your offering.

Connor Borrego [00:17:00]:
Yeah. So it's, it's a iterative process, which is really cool where I'm building front end components, which give me management controls to the back end. And then when I am in the term like, inside of, inside of Cursor working with the LLM in there on making improvements, it can read the changes that I'm making on the front end through that process. And I'm a visual thinker, so, like, when I have to write code, it's very daunting. I get, like, writer's block is the best way to describe it. Mhmm. And, you know, the LM gives you the rough draft. And I'm like, oh, I'm a great editor.

Connor Borrego [00:17:41]:
I can take that and run with it. And that's ultimately what this is, but having the visual to be able to be like, oh, this is how I need to like, if you think of them as, like, Lego blocks or, like, actually, the better visual is, like, if you've ever seen the tree of life graph

Joshua McNary [00:17:58]:
Mhmm.

Connor Borrego [00:17:59]:
Where everything kind of branches off into its own set of, little kingdoms, obviously. There's the plants, the fungus, the animals. Sure. Sure. I forget them all. But there are little branches, little offshoots, but they all inherit from one root. It's kind of the same thing, but I needed a visual so that I can actually move the parts around because that's just how my brain works. And the code, when I'm looking at it, it's not clear to me that way.

Connor Borrego [00:18:26]:
And so, yes, I've been able to make the LM kind of be participatory in the process of building and refining the data, which has made it a lot easier because it's it's so much nicer to have a partner to work on things with.

Joshua McNary [00:18:39]:
Yes.

Connor Borrego [00:18:40]:
And you, you know, not always having that person who's in the right mindset to help you support through that process. So it's like it's a great mirror almost.

Joshua McNary [00:18:48]:
Yes. Well, and that's been a theme too. And I've been reading, in recent months, around the New Year. I was reading the the Ethan Mullick's book that came out last year, Co Intelligence that talks about these these tools as a partner, as a as a as a friend. And then the last few people on the show have talked about, you know, they're giving their chat GPT names. Right? Because they're actually viewing this as a partner, as a friend, as a coach, as a as a employee, you know, in different things. And so you're speaking kind of in that same term.

Connor Borrego [00:19:18]:
Especially with the launch that, you know, Sam and them released over the last, you know, week and a half or whatever with the the the psychological coach essentially been having the full memory bank. We'd already like, it I've been using it for interpersonal growth a little bit also because I'm like, am I crazy for thinking some of these things and probably for writing it into the chat bot I am. But, like, you know, you need to you need to sometimes have that dialogue to get it out of your head and just, you know, it's helpful. It really is. So Yeah. You're saying you're need something.

Joshua McNary [00:19:50]:
If for those that are listening that haven't, went into chat g p t lately right now as we're recording this, this is April 2025. If if you go in and you type in something to the effect of, like, what are my weak weaknesses, chat GPT? It'll it'll give you a list of things based on what you've shared with it. It could be interpersonal. It could be, you know, blind spots in your career, different things like this. You could ask it, and it'll pump back something that's, spookily good, and because because it knows you and the memory component has been enabled. And of course, that could be used in many other functions as we go forward, you know, business functions and things as well. So, yeah, that's, that that theme around, using the artificial intelligence to help us, I wanna continue on that a little bit with you with regards to your, like, your your work within kind of the the agency space. Because you talked about that earlier in the sense of, like, you or you have that traditional WordPress experience as I as I do as well doing a lot of WordPress development over the years.

Joshua McNary [00:20:52]:
But then you have this agency arm to your business that you're doing as you're standing up and continue to evolve your, startup side of things, the the actual product. So is there any kind of tricks of the trade that you found with any of the AI tools or any other technology that you've recently been using to help you manage that side of it? Because there's a lot of, tasks and things that go or had to be pushed around in an agency environment as I as I know from my experience.

Connor Borrego [00:21:16]:
Yeah. So the answer is probably not as good as some of other people's answers because I think a lot more people spend time on the automation side of their own workflows, and I really respect that. So I wanna I wanna call that out. But I am using LLMs or different generative tools all over the place to help support my work. So, the way that the agency business is kind of focused right now is we've got a couple of core clients. Most of them are word-of-mouth referrals. We haven't been able to do a lot of outbound. Most of the outbound we do is things like this, opportunities to have a conversation with someone or give a presentation.

Connor Borrego [00:21:51]:
So, you know, like I said, super grateful for the opportunity to be here to talk today because this this is part of the process. And, anyways, yeah. So the agency outside of, you know, trying to drum up business, you know, the day to day is generally focused on either monitoring campaign performance, which we've been building automations into our system to do. So that is where our automation is happening. The reporting analytics, basically sending, reports over the client. It's a self serve portal. Most of the things they want are readily available. Okay.

Connor Borrego [00:22:24]:
But because of the way the data warehouse is structured, we can usually turn around any sort of ad hoc data queries they might have within, you know, an hour. So that it's mostly, you know, a little bit of live communications. And oftentimes, when I'm writing an ad hoc query, I know what tables I need. I know what transformation I wanna do. My sometimes I'm lazy enough, and I know that the script's gonna be long enough. I just am giving it to Claude to write my SQL. It usually gets it in one shot. I'm able to then drop it over our data warehouse, pull that out.

Connor Borrego [00:22:59]:
So there's some manual processes that are still in place as I'm building out automations into the tool. But as a result of that, that's why I'm using LLMs to augment the work because other things that I'm doing is, you know, when I'm producing websites for people, oftentimes, I'm using Midjourney in order to generate, you know, background images. Sometimes I'm taking those Midjourney images. I'm going over to RunwayML, and I'm creating GIFs and short animated sequences with it. I haven't delved into as much of the content creation tools I really want to. Okay. I just feel like it pulls me so much further away from my strengths, which is this data analysis piece. But, like, the other piece of what my agency does, we do, content production, which is surprising with what I just said, but it's mostly writing because, I am a writer.

Connor Borrego [00:23:51]:
I'm able to produce a fair amount of writing, and, I don't use Claude or the LLMs to do a lot of writing that I publish, but I have written quite a few, like, essays with it that I have internally where I'm like, this is pretty good, and it's based off of a stochastic dialogue that I had with it where I was reasoning through something. And then I asked it to essentially summarize it in an essay with my voice, at the end, and it did a really strong job of it. Like, there's some editorial changes I would make, but, like, I really enjoyed that. Not that I've like I said, not that I'm using that right now, but we're the way I envision using that is kind of more on the SEO side of things, and that's something I'm hoping to work into our own marketing workflow. But, again, on the client side, it's usually around generative advertising creative. Usually for, like, some of our, like, we still do higher end creative, and we'll work with an external agency, sometimes produce that or some freelancers. Okay. But what we're doing is often testing, a message concept.

Connor Borrego [00:24:56]:
And so that's how we're using these generative AI systems is like, alright. How do we rapidly iterate on a message against an ICP? Is there a specific color scheme? Is there a specific message that is gonna, like, hit this particular audience? And so, again, the generative creative tooling helps augment our workflows. I wanna move that into the portal at some point. But right now, that's just, like, something that we do ad hoc and have, like, SOPs for as a team.

Joshua McNary [00:25:26]:
Gotcha. Gotcha. Well well so, yes, as you're talking about that, it it makes it, when you're building your own solution, it makes it a little bit easier to, you know, just implement what needs to happen. Right? You have the SOPs. You have the the the processes and some of these things that you're trying to experiment with within the product as it is. And then your, of course, your model is such that you're able to, modify the the product to basically the information you're getting from the agency side, you're able to apply to the product, which is, you know, not everyone's in that position. Right? They're not able to actually just change the product to what they want or test something different in the product based on what you're learning from the Yeah.

Connor Borrego [00:26:02]:
I I think that most businesses need to dog food their product. If they're not dog fooding their product, you know, using it internally, actually, as actual customers, they're not gonna have a good sense for what their user base actually needs, wants, or feels about the app. Yeah. Because there's probably some obvious things you're missing if you're not using it. The other side of things is like, yeah, we're using it for ourselves to make it more efficient. But it it's like it's nice to be able to then move, like, the workflows that we are developing actively into there. It like you said, the experimentation process is a huge part of this. And I think one of the only real business models that lends itself to doing this is being an advertising technology software.

Connor Borrego [00:26:42]:
And it's something that, like, I think in technology software. And it's something that, like, I think investors don't care for, though, as a result for those technology companies because they don't like the, the lack of focus on driving software revenue when you, especially in the earlier stages, have much more lucrative larger contracts over on the agency retainer side of the business.

Joshua McNary [00:27:06]:
Sure.

Connor Borrego [00:27:07]:
So there's that tension there, in terms of raising money by going about it that way. But it's, it's something that the ad tech startup that I cut my teeth at did. And, the the CEO of that company, Mike Peterson, the company's ad adapted, someone I immensely respect. He's a he's a board member of our company, adviser, and, basically, this is how he built their company. It's a hundred and $20,000,000 ad tech company in the grocery space. And, you know, I I'm just following in the footsteps of someone else's formula here in in many ways.

Joshua McNary [00:27:41]:
And I think it's agreed. Yeah. You know it could be done, and you've seen it done. You've been part of it, and you've got some, experience on your board to help you guide you on that. So maybe, the steps, are a little longer, take a little bit more effort over time, but you are going the direction you wanna go and doing it in a way that you feel good about, which is important.

Connor Borrego [00:28:02]:
I think the business is gonna have a sustainable revenue model, and it will outlive any capital we do or don't raise. And that's that's the point of going about this process.

Joshua McNary [00:28:12]:
Absolutely. That's great. Well, as we wrap up the show here, we do typically ask kind of a a a blanket question towards the end here. So if you were talking to other business owners, startup founders, etcetera, What is one actual tip that you would give businesses that are looking to better leverage technology here, as we wrap up the show today?

Connor Borrego [00:28:33]:
I think a lot of people hesitate on their ideas. And I think it's like the barriers to getting started is just asking the alum the question of how you would get started. And I think more people just need to start asking that first question. And that would be my first tip because, again, for me, as someone who is, like, highly analytical, I get information paralysis. It freezes me up, and I never feel any better the more I think about a problem than I do after I just dive in head first with no plan and start working on it because things start to become clear once you're in the thick of it in a way. So

Joshua McNary [00:29:14]:
Right. The action allows you the action allows you to then consider the next action. Right? And then that opens up the doors to be able to continue moving forward. And in a way that

Connor Borrego [00:29:24]:
is light in the room a little bit.

Joshua McNary [00:29:26]:
Yeah. And in a way, that is a strategy. I mean, you know, we don't wanna be, procrastinate based on these things, but we also we by taking these kind of actions, it feels like you're just jumping in without any strategy whatsoever. In a way, it is a strategy to take that next action.

Connor Borrego [00:29:40]:
Ab absolutely. I mean, you you don't wanna not have a follow-up, not have a plan after the fact, but I think sometimes you can overthink that, and that can limit you from even just taking that first step. And I think Right. That's where I'm just trying to encourage that first step.

Joshua McNary [00:29:54]:
That's great. That's a great piece of advice to wrap up on here today. So this has been great. Where can we find out more about you and your both your agency and the, product offering here online?

Connor Borrego [00:30:04]:
I think the easy way easiest way to find us is either go to playhouse,uh,.tv or to just Google Playhaus TV. We should come up. We have our agency site linked through Playhaus TV. We also have information about our product robot on there as well. Yeah. That's the easiest way to find us. We've got a newsletter I'd like to plug called Heart and Soul that has got 5,000 readers listening at the intersection of AI and crypto. I think, it comes out once a week.

Connor Borrego [00:30:33]:
It's pretty entertaining, easy read.

Joshua McNary [00:30:35]:
Awesome. That all sounds great. Everyone should go out and find those materials here as they, as they end the show. Well, Well, thanks for joining me today.

Connor Borrego [00:30:43]:
Thank you so much for having me, Joshua. This has been awesome. I really appreciate the opportunity. Thank you so much for the conversation.

Joshua McNary [00:30:50]:
Alright, folks. That's it for today. I'm Joshua McNary, and I hope you will join me again next time so you can learn how to become a biz tech superhero. Bye now.