# 140 Manus AI: Build Your Automated Research Machine

# 140 Manus AI: Build Your Automated Research Machine Speaker 2: So Alex, what are we going to learn today? Speaker 1: We're going to learn today a little bit about vibe coding. We're going to learn about a Manus automated workflow that helps me curate content daily. And we're going to learn about a project that I've been personally involved with over the last few weeks in building that I'm very passionate about and is basically a digital clone influencer studio that allows you to clone yourself and create content. So we'll look into that later too. Speaker 2: Yeah, that'll be sweet. And so the goal of this is to be super hands-on. So before we jump into you just sharing your screen here, why don't you give us a quick background and why is it that people should listen to you? Speaker 1: So I'm Alex and the whole thing is simple. I kind of build and test different AI solutions and automations in production and help companies build working AI and AI agents that help them automate tasks within their workloads. Over the last year, I kind of blew up on LinkedIn and grew my following from about 500 followers to 33,000. So I think there's been a little bit of accomplishment there. And I've also been heavily involved with the lovable community and have been the Discord champion and kind of like a community mentor for many months now and helped many different builders and first time founders get their applications to 100% and get them deployed and out there. I know a thing or two about live coding. Speaker 2: Nice. Sweet, man. Well, yeah, you've got an awesome background. And what I'm excited about for today's episode is you're going to be sharing your screen for a large part of the conversation and kind of walking us through the system that you built step by step using Manus to, I believe, curate and create your personal LinkedIn content for your profile, right? And basically the process that blew you up from 500 followers to, what'd you say, 33,000 in a matter of months? Speaker 1: Yeah, I think it was like nine months now, maybe even coming on the 10th month. Speaker 2: That's really fast too. Like that's insanely fast growth. Speaker 1: Yeah. And it's definitely been, it's been good. Lots of exposure. I was able to, you know, land some client work out of it and, um, definitely kind of, you know, get my name out there as, as a AI builder. So it's, it's always good to work on your personal branding. The Manus workflow isn't super complicated. It's something that actually anyone can do. It's a fairly simple setup. Obviously, if you can afford the credits, you can set up as many of them as you like. It is a paid service, so you always have to keep that cost in mind as well. We'll definitely go over the content studio as well and look at that for a little bit. Speaker 2: Awesome. Well, whenever you're ready, go ahead and share your screen. Speaker 1: Let me just figure that out. There we go. I think we're working now. Speaker 2: Yep. We're in the screen now. Speaker 1: Awesome. So this is Manus. This is kind of what you see when you first log in to the landing page. So very simple. The big news with these guys in the AI space is that just a few days ago, they've been recently acquired by Meta. So now they're part of the Facebook Meta family of companies. And I've been kind of using Manus probably since about March or April of 2025. So it was still in beta then. And, you know, within 10 months, they kind of went from zero to Over 2 billion valuation and then being acquired by Meta. So, you know, a bit of a unicorn in the AI space. Speaker 2: Absolutely. Speaker 1: So they have a lot of different kind of things. They allow you to now do data controls. The agents are pretty smart. They can build, they can research. What I like using Manus for is a lot of heavy research and kind of content curation. So when I first started, maybe the first few months, it was really tough. Like trying to figure out what to post every day or even like kind of put out there. Sometimes I felt like maybe you're doing a little too much personal content, maybe you're oversharing, maybe you're posting stuff that you care about, but the audience doesn't care about. So what I did was create a kind of like a scheduled task so that every morning when I wake up inside Manus, and you can do this inside some of the other LLMs now as well, I believe that like ChatGPT and Claude allows you to do this as well. But what I like Manus about is that it uses multiple models to complete its tasks and it's more agentic a little bit. So the agent goes out there and completes this task autonomously. And so I wake up every morning and I have like an industry report that runs and we can kind of look at it a little bit. So you have your prompt, you have your schedule, you can control where it runs. There's some advanced settings that allows you to pick a model. So that kind of works there. Speaker 2: And you could do this for any industry, right? So obviously you have this set up for your industry. I assume mostly AI news. But for somebody that was in, say, financial services or any other industry, they could set up a similar, like, daily industry brief for themselves based on this framework, right? Speaker 1: Yes. And you can do multiple industries and you can do multiple scheduled tasks. So you could wake up and have your finance news, you could have your politics, you could have your, you know, world news, you could have any type of industry that you're in. It can curate real data. And I believe they just got integrated with SimpleSearch, which is one of the web search data companies that curates all the past web search data of like overall web searches. So Manus can tap into that as well. So that's like a huge addition, right? So research is really good. It works really well and you can set it up for anything. It's pretty fair with usage. It has pretty good logs. It tells you where you spend your credits. It's pretty transparent. Speaker 2: Now, let's see your system as far as how you're creating content and doing it at scale because you're pumping out. It's not just like text posts every day. I mean, you're pumping out carousels and analysis of full reports and pretty intricate, detailed content, which is probably why you grew so quickly. So I'm really curious to see this workflow. Unknown Speaker: Yeah. Speaker 1: So let's look at it. Uh, this would be like one that ran recently. And so kind of, this is basically the end result that I wake up to every morning. Um, and so you'll have like industry reports and you can adjust the dates, obviously. Um, What I like to curate are PDFs specifically or PDF format industry reports. They tend to do well on LinkedIn. So that's kind of like a trick with LinkedIn. The carousels and the PDF format documents tend to do well. I think most of the big LinkedIn people recommend doing that at least like 40 to 50% of your content if you want to really like grow fast. So for example, so this found me something. Oh, nope. Maybe. Let's try this one again. Unknown Speaker: Nope. Speaker 1: And so not always perfect. You'll get sometimes there's going to be a dead link or two. Actually, I think this may be kind of like an outdated report. So let me look at this here, which should be, there we go. Uh, wrong link. And, uh, so like it finds these type of reports. So this is, you know, like literally department of defense. Um, and so it allows you to read to these kinds of things that normally would probably like skip an average person's feed. Speaker 2: Right. I did catch a couple of paragraphs of it there. I mean, they're talking about a plan to accelerate AI adoption for military and intelligence uses, right? So, like you said, I mean, that's news that's really interesting to me as someone who's interested in the space, but I'm not going to see that on my everyday feed or probably ever. So, right. That makes sense. Speaker 1: And here's another one, which is like from Workday. So some of these, like, obviously, like, I'm not always just going to share some type of, like, internal corporate or government report. I'm very specific on sharing those on the feed. But I'll use these to generate a content or maybe use it kind of to like for my copywriting or creating the post itself. But some of these are super interesting just as you're in the space to read them over or kind of brief them over. Speaker 2: Right. Speaker 1: No one has the time to read them all every day. Speaker 2: Now, how did you actually build this process? Like, can you kind of walk us through step by step how you built that or even maybe even like create a new version from scratch for a different industry? Speaker 1: Yeah, let's try it. So what we would do is we'd go to schedule tasks and create a new schedule tasks. So let's see. Research all the latest UI, UX trends in web development. Speaker 2: Oh yeah, that'd be a good one. Speaker 1: And then for the second one, I'm going to actually use one of my favorite tools that I think that most AI builders these days should use is called WhisperFlow. Speaker 2: Oh yeah, that's my most used tool by far. It's not even close. Speaker 1: A little pitch to WhisperFlow. Speaker 2: Yeah. Speaker 1: So I'm going to go ahead and just mute myself for a second and whisper this. Speaker 2: So for the people that don't know what he's doing, he's muted us because he's speaking to text using a tool called WhisperFlow, which you literally just talk into the computer and then it knows exactly what you're saying. It formats it appropriately. It capitalizes everything. Punctuation is perfect. So it would be like if Siri actually worked, that's what WhisperFlow is. And so he's basically talking a long prompt into the mic. And yeah, it looks like that's exactly what you did. Speaker 1: Yeah. And so it just speeds things up. Obviously we type. I think even some of the fastest typers that I know are about like 150 maybe words per minute. And that's not an average person. Most people I think are about 50 words per minute. Um, so I think that this speeds up your, your processes by much. Um, but from here you can, you know, do a daily weekly. So let's do daily. We're going to do, we're going to pick a time. Let's do say 3 a.m. And we can set an expiration date. So we'll say let it run until the end of the month. You can add any type of other parameters in the prompt you want. You could add specific dates, times. So let's ensure the reports are from the last six months. Corey could do six days. Obviously, you can pick your model here. Speaker 2: So I assume Max being the highest level agent would probably do the deepest thinking and possibly the best result or is that not the case? Speaker 1: Yeah, that is correctly the case. It will also be the most expensive agent to run as far as credit go. The credit use will be the highest on this. I may not be 100% correct on this, but last time I did a little research into Manus, it was using about three to four different LLMs for its agents based on its tasks. So I'm going to assume that max mode will be probably like primarily utilizing like something like Claude Opus 4.5. Right. And then I'm going to say like, you know, Manus 1.6, maybe like when latest model and ChatGPT, that kind of thing. Speaker 2: Right. That makes sense. Speaker 1: Yeah. And Light would probably be like an older entropic model, maybe like a Sonnet 4.0 or something. Speaker 2: Sure. Speaker 1: That's at this point, it's a little bit cheaper, but usually that's how it's structured. They don't always necessarily give us all the truth. Speaker 2: Right. Speaker 1: Yeah. Speaker 2: A lot of it is kept under wraps, which is interesting. Some of it you have to just figure out through use. Speaker 1: We can, you know, run an always ask. So this is nice. You can do like a permission. So obviously if you're running something at 3 a.m. You're not going to want to do always ask because you're not going to be up at 3 a.m. So you're just going to do auto proceed. And that's it. That's really simple. So now we have this workflow set to run at 3 a.m. And if we want to run it now, we can hit the three dots. We can run now and kind of watch it in real time as it runs. Speaker 2: And think about how powerful that is if you're doing any sort of research on a regular, repetitive basis. I mean, I know you have a newsletter. I mean, for all the people out there that have a newsletter where they include some data, whether it's like an industry trend or even like a social media post, this can be a really good workflow for Automating a lot of just like the administrative gathering of data that needs to take place with a lot of these newsletter products or even, yeah, like social media posts. It applies to a lot of different things that people are probably doing in their small business. Speaker 1: Absolutely. Absolutely. Speaker 2: So yeah, it's just doing its thing right there. That's awesome. Speaker 1: It's very cool because you can actually go to the computer view and watch it. You can kind of watch it, what it's doing. Yep. Speaker 2: Yeah, Manus was the first real agent that I got a taste of a while ago now, I think pretty early on, shortly after they got started. That was the first time I ever saw the AI thinking out loud, and it really blew my mind. I was like, wow, this is crazy. I think I spent about 10 minutes putting together a pretty detailed prompt for basically a presentation I needed to create about passive income along with some research and projections, and it one-shotted it minus the formatting on the PDF on the last page. So I was Very pleasantly surprised the first time I used Manus. Speaker 1: Yeah, it's pretty wild right now. I think most people know Lenny's newsletter in the space. Speaker 2: Oh, yeah, yeah. Speaker 1: And I believe that he just did a fun project where he took all of his podcasts that he's done. I believe there's like over 200 of them now with all the different type of like founders and some of the biggest names in SaaS and YC world. Manus was able to extract the data from each one and then create like a one page kind of infographic study. Yeah, that's now like you can go through a list of all his podcasts and just look over like a one page diagram that kind of gives you gives you a breakdown of that podcast and what it's all about and like the key points from it. Speaker 2: That's so good. And what would be cool, too, like something I would subscribe for, maybe even like pay for is if you took all 200 episodes and extracted like what are the top five most common lessons learned or like most common traits or you know what I mean? Just like consolidate all of that into like one analysis report. I think that'd be really cool because then it's like, hey, that's the playbook to go do what those guys have done, like backed by data, you know. Speaker 1: Absolutely. Speaker 2: So this is, it's crazy. It's literally opened up the browser and it's searching through websites, looking for UI, UX design, news and trends, exactly what we asked it to do. And it's just doing all that behind the scenes. And when it's done, it basically notifies you. I mean, that's, it's crazy. The level of automation that exists in these types of tools right now. Speaker 1: Absolutely. They're just amazing. Some of these research tools and some of the agents behind them, they're out there just so good. I can't imagine having to do all this deep research manually in the past. The time and effort it would have taken. Speaker 2: Right. And, you know, I hate to say it, but it's like if Claude is down or if whatever tool I'm using in that moment is down, it's like I don't even try to get around it manually. I literally just wait until it's back up because I'm like, why would I even bother doing this task without this tool? Like it's going to make it a hundred times better and a hundred times faster. I'm just going to come back when it's ready. Speaker 1: I agree. I agree. I always tell people, you know, if you don't think things are good enough now, just wait six months. Speaker 2: Right. Oh my God. It's getting so much better, so much faster. Now, what is it doing right now? Do you think, or I guess, how long does this type of task typically run? Speaker 1: So usually it runs for like about, I think on average, and it's hard to tell because I'm honestly never really tracked it since they mostly time they run is when I sleep. And so, but I think it's about like 10, 15 minutes or so. Speaker 2: Okay, so then let's jump into the next tool that you were gonna show us and then maybe at the end of the conversation we come back and see the results here. Speaker 1: Sure. I know I think maybe we had some questions that you have for me. We can go over some of those too whenever we're ready. Speaker 2: Yeah, absolutely. Speaker 1: So this is a project that I've been personally involved in and this is a fun story about a couple months ago. I was just hanging out in The Lovable Discord, just like we always do. Shout out to Lovable Discord, where I think just broke over 1500 hours straight in the Dev Chat. That means somebody in that voice chat always hanging out, helping people, helping the community. Speaker 2: Wow. Good for you, man. Speaker 1: Yeah, yeah. It's been a little bit of a unicorn because I'm in a lot of different AI communities on Discord and none of them have that type of That type of live community that Loveable does, so there's something to be said about like what they curated there and the kind of atmosphere they bring for like new builders and new founders and just anybody from any type of walk of life that wants to kind of create something with AI, you know, it's a welcoming space. And so I was just hanging out in there and, you know, as always, kind of new builders and Maybe existing builders that haven't found the space, you know, trickle in. And some of us that have been around the block a few times and built a few apps already usually jump in and help if someone is an issue or has an issue and, you know, something's going on. And so obviously we started building and there was a new builder and her name is Abby and she's in Fargo, North Dakota. We kind of started hanging out a little bit and I saw her project, which was Person. At that point, maybe it wasn't even Person yet. It was just called AI Studio. And I was like, wow, this is really cool. I was like, what's it doing? It's really cool. And I see a lot of potential. Obviously, there's a lot of apps out there already, like, you know, Hicks Field and Majority and Leonardo and all that stuff, all the big studios, right? But if you actually spend some time in those apps and played with them, It's still semi-complicated to get consistency to be perfect across generations. So if you're trying to generate like, you know, 30 days worth of content all at once, it's really hard to keep the character consistency. And so I think that's the problem that person solves the most is the consistency. It does really get the generations right as far as like faces and the characters go. And that's kind of what what we've been focused on really trying to, you know, fine tune that part. So I'm just going to scroll down a little bit and kind of show some of the landing page content. It's a beautiful landing page. I think it looks solid. It doesn't look like it's a Vibe-coded app. It looks like an actual, you know, SaaS platform, whatever you want to call it. Speaker 2: Right. Agreed. Speaker 1: So these are kind of some of the, you know, viral shots. Here's me as one of the influencers. Here's my friend Shane. He's also one of the AI builders, one of the global champions. And this kind of explains, you know, in one sentence what person is. It's your digital clone that creates content 24-7. So the automations will be coming soon with V2. Full automations right now, it's mostly like prompt and preset automation. So you don't have to do a lot of manual work. It's like one, two click and you can generate. But our vision for this is to be able to have like full autonomous Basically social media influencers, because that's what the world is moving to anyway. And AI agents are kind of taking over in 2025 and 2026. So in other words, it's basically your influencer AI agents. Speaker 2: Now, is this the tool that you used when you posted that picture on LinkedIn of you standing next to the rock and like standing next to all those celebrities? Speaker 1: Yes, this is the tool that I used. Speaker 2: Yeah. And I mean, it's crazy how lifelike that picture looked. And so and I'm asking because I honestly don't know the answer. Are you saying that if we tried to generate that same image with like a nano banana or And today we're going to talk a little bit about how you can make an open AI model or any other model that it wouldn't look as much like you, like it wouldn't look as realistic. Speaker 1: I don't think it's possible to get it to look consistent, like generation after generation. One, you will spend a lot of time copying, pasting prompts and doing all that stuff. With person, you kind of, you load yourself in once and you're locked in, your identity is locked in. From my testing experience, if I go directly to NanoBanana or say Gemini or ChatGPT and I try to generate character and consistent images, it's about hit and miss. I'd say I get about 50%. So I'd say like every other image, the consistency is there, but every other image I'll get something just completely, totally off. I think with person, we're pushing like 90% consistency. Obviously, it's still not perfect. Once in the blue moon, you'll get something that you know, AI decides to just completely hallucinate. We are at the, you know, We are at the behest of the major AI providers like Gemini and C-Dream and ChatGPT and those type of providers. So sometimes the API models themselves or the APIs decide to just kind of do their own thing. But I think that's been kind of our mission to try to solve that problem. We find it as a problem if you go and generate content all the time. I think it is a problem. And so we're trying to solve that problem. Speaker 2: Yeah. And it's smart because I know when I post on LinkedIn, anytime I use a picture of myself, like in any capacity, it always performs better. So, I mean, having this tool to be able to basically generate AI versions of that, I know it sounds crazy, but that would be genuinely useful. Speaker 1: Yeah, that is crazy. But this is the reality we live in. And I don't think that by 2020, end of 2026, I don't think we'll be able to tell much. Speaker 2: No, I think you're right. Now, can you show us behind the scenes? Like, can we do a couple examples? Speaker 1: Oh, yeah, absolutely. So let me get logged in. So you have your login process, pretty straightforward. Obviously, I'm already registered account. It will just allow me to log in. If you're a new account, you would have gone through an onboarding process where you would have to provide five images of yourself and consent that you're actually on those images and that is really you and you have permission to use them. At that point, in two steps, it creates a clone of you and loads you into the dashboard. This is just a little onboarding help for users. Speaker 2: Oh yeah, those look good. Speaker 1: Yeah. So I was generating a little bit of like, you know, fun content. Speaker 2: Yeah. Speaker 1: And so here's one of me, you know, first day in America. Speaker 2: I feel like those types of image, like that type of content does well on LinkedIn. Like people, you know, the, the photos where it's, you're obviously, you've obviously used AI to like put yourself in a situation. Like people find those funny and when they look realistic and you like point to that fact in the post itself. I think people love it. I've always seen those perform really well, you know? Speaker 1: Right. My friend was making fun of me about a picture I generated and said it looked like I just closed the $50,000 deal by a text message. Unknown Speaker: So here's the shot afterward. Speaker 2: I love that. Yeah. I mean, that's when you know it's a good image, right? Speaker 1: Right. So like, you know, the outfits, like all these are picked so you can put the outfits in. Speaker 2: That's awesome. Speaker 1: Yeah, I mean, the realism in these pictures is just so good. Speaker 2: I actually am 100% gonna try this. Like this has really piqued my interest because, I mean, these are good. So is it a monthly subscription or is it you buy a certain amount of credits and then you can use those credits as you wish? Speaker 1: I believe you can do both and it does start with a subscription, but we do have a free tier. So if you just sign up and kind of try it out for yourself, you will be able to just generate several generations for free. At that point, obviously there's a subscription and you do get, I believe, like five generations that refresh every 24 hours. It's not just like, you know, You can't just use it once and that's it. You can't come back every day and generate a couple extra pictures. So that's nice. The cheapest plan starts at nine bucks. So it's not terrible. Speaker 2: I'm bookmarking it right now because I'm absolutely... Is it person.ai? P-E-R-S-Y-N.ai? Speaker 1: That is correct. Yep, person.ai. Speaker 2: Yeah, just bookmark that. That's sweet. Awesome. Well, let's check on Manus and see if it got the job done and then we can wrap up. Speaker 1: We'll come back and do a generation. Speaker 2: Yeah, and then we'll wrap up with a couple questions after that. Speaker 1: Yeah, so it looks like Manus just finished its report or its research and so here we are. Speaker 2: So it did exactly what we asked it to do. And we're talking pretty deep, complex research. Speaker 1: Correct. Speaker 2: And distilling it into a summary and into tables and into a manner that's actually digestible that you can then take and put into the LinkedIn content you're creating. That's basically the system you're using, right? Speaker 1: Correct. Correct. So, you know, you can use other tools like there's AI, there's carousel generation tools like one popular that we love to use is Google Notebook LLM. It's an amazing free tool, especially if you do have like the $20 Google subscription or Gemini subscription, you can kind of use it a lot. But even without it, they allow you to use it a lot. And so you can create infographics, you can create reports, you can use this research and have Notebook LLM ingested and then generate You know different type of content for you or add on to it. So I like to kind of connect the two workflows and use them, you know in parallel. Speaker 2: Yeah, that's super smart. I can see that making it a hundred times easier. Because think about it, if you're doing that manually, the research alone is hours a week, right? And then distilling it into the format that you're going to post is the other half. Speaker 1: And it does give you the references, right? So it does give you the links and things so you can actually go and make sure that it It's like, you know, a real thing. Speaker 2: It's not making stuff up. Speaker 1: Right. So, you know, it takes you to like the resources that are used. Speaker 2: Smart. No, I love it. Awesome. And then obviously you shared that prompt visually earlier in the interview. So for those, if you're listening on podcast platforms, go watch this again on YouTube because you can obviously see all the prompts and everything that was included. Now, Alex, let me ask you this. So a lot of people in the audience, they're small business owners. And one of the pain points that we see probably more often than anything, Is that it's like they know they need to use AI, but they don't know where to start. And you can substitute AI for automation, right? They know they're doing a lot of stuff manually, but they don't know which task to automate first. So my question for you is really, where do you see people going wrong? Like what's the wrong move in that situation? Speaker 1: I think a lot of people try to do too much at once. Speaker 2: Yeah, absolutely. Speaker 1: Yeah. And we all live busy lives. You know, we live busy lives. We live constantly thinking about 20 different things, trying to accomplish 20 different tasks. If you're a business owner, you're probably doing 100 things at once. It's just the life of a business owner, a busy founder. You're wearing 15 hats at any given point in time. And so you're trying to constantly balance those things. And I think Most people are just overwhelmed in the modern life. And so they try to, they try to relieve too much at once. Like anything else in life, automation and AI works best if you just start small, start one little thing at a time. And I think once you figure that out and start building small little automations or small little task replacements for yourself and figure how that works, then you can kind of scale from there and figure out what can be automated in your personal life or in your work life and what cannot be. Scrap the stuff that doesn't work and then scale the stuff that works. Speaker 2: Yeah. And I think that's really smart advice because like you said, it's like, don't try to do too much at once. If all you do in the first week is automate one task that saves you 20 minutes a week, If your hourly rate is worth say $100 an hour, I mean, you still saved what? Almost $30 a week. So $120 a month with that one automation. That's how you got to be thinking about these things. So yeah, take it one thing at a time and take it slow. But I think that's great advice. Now, my next question for you, Alex. So based on what I gathered from your LinkedIn profile, you've deployed, it sounds like over 47 different agents in 2025. So my question for you is if, let's say I'm a small business owner and I'm looking at deploying AI agents into my business or looking into some of those tools, what's one thing I should know before I start? Speaker 1: I think you want to figure out what the outcome is that you're looking for. So pick one measurable outcome. That's probably key. You know, whether it's cut scheduling calls from two hours a day to 20 minutes, or maybe, you know, automate your lead replies from several hours a week to 10 or 5 minutes a week. Many service-based businesses, I believe, suffer from missed leads and missed follow-ups. And so they could really like, you know, use some automation there. Maybe you decide this month that you're no longer going to ever, you know, miss another lead or follow up with your clients. So I think those are some good areas to start, you know, and then run like a two week test, maybe two week, maybe four week test. If nothing's working, if it's not trending towards the goal, just scrap it. No problem. And it's like with the agents that I built, half of them failed. But it's the age we live in. You have to try it. You have to build it. You have to see what works. If it doesn't work, you scrap it and then you try something else until it does work. Speaker 2: I think looking at it as a test is smart advice because it's like, hey, we're going to test this for two weeks or maybe four weeks. And if it does what we think it's going to do, then we keep it. And if not, we move on to the next test. So great advice all around. Speaker 1: Yeah. Speaker 2: So Alex, my last question for you before we wrap up here, where can people connect with you or find out more about you? Where do you want them to go? Speaker 1: So definitely my LinkedIn for now. If you're in the AI space, feel free to connect with me or follow me on LinkedIn. I generally post daily, sometimes even twice a day. And many people have mentioned that, you know, kind of following my feed on LinkedIn allows them to kind of stay on top of a lot of the AI news and automation news. And so I take that as a compliment. Another space you may be able to find me once in a while is the lovable Discord. I do tend to hang out in there quite a bit, especially in the voice chat and dev chat. So, you know, pop in if you're ever having a problem with your VIVE-coded application. And, you know, we're more than happy to help if we're around. Speaker 2: Awesome, man. Well, yeah, go follow him on LinkedIn. He's a fantastic follow there. I've certainly learned a ton. Alex, thank you so much for your time and I'll be seeing you on LinkedIn. That's for sure. Speaker 1: Sounds good. Sounds good. Speaker 2: And for everybody in the audience, guys, if you enjoyed this episode, be sure to go leave us a review on Apple or Spotify. And if you're listening on YouTube, be sure to like the video and subscribe for more because we'll be back with another one next week. All right, Alex, see you later. Speaker 1: See ya.