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If you're an H Vac technician and a call comes, Grainger knows that you need a partner that helps you find the right product fast and hassle free. And you know that when the first problem of the day is a clanking blower motor, there's no need to break a sweat. With Grainger's easy to use website and product details, you're confident you'll soon have everything humming right along. Call 1-800-GRAINGER clickgrainger.com or just stop by Grainger for the ones who get it done.
Podcast Host Jamie
Welcome to the podcast. Today we're talking about a really interesting company called Link L I N Q. They've just raised $20 million and essentially what they're doing is they're putting AI assistance and they're getting them to live inside of messaging apps. Now I think this is something that we've seen a lot in. You know, like this is something that's kind of common. We see like Meta AI, I think is the one that's the most famous for this because they've been able to put Meta AI into Instagram and WhatsApp and of course Facebook Messenger. And what's interesting to me is that there's been a bunch of lawsuits like basically Meta didn't want to allow any other AI chatbots to be inside of their platforms and services because they're like, you know, this is ours. There's been a bunch of lawsuits from different countries, I believe India in particular and maybe some others that have forced Meta to allow other AI assistants inside of their chat bots. So this is something that I think we're going to start seeing more of in the future and is kind of like Meta's moat, maybe that's slipping. But Link I think is gonna, is wants to be one of these, one of these players. We're gonna get into what Link is doing, why they raised $20 million, what they're doing. Before we get into all of that though, Jamie, would you want to tell everyone about the AI hustle school community?
Podcast Host Co-host
Absolutely, yeah. If you've ever wanted to learn how to grow your business With AI or even make money on the side. You want to check out our school community called AI Hustle. We'll link it below. But it's a great, really a great place to be. Each week we release bonus content specifically geared towards how you can actually make money with AI. So this week we recorded a really interesting episode. Jaden did a complete web redesign of a his app AI box he's been working on for over a year now and how Lovable was able to, you know, help him redesign it. So we go through things like that, you know, we're talking about. We're doing actually a really big vibe coding course right now, releasing a lot of content over there. So if that's interesting to you, you should definitely check it out each week. We. So it's right now it's $19 a month and you can lock that price in if you join today. So we have over 300 members and we'd love to have you be a part of it. But let's talk about Lync here. They raised $20 million, which is a significant amount of money. And I always like talking about kind of the history of some of these companies. They started as launching a digital business card business that was their original business model. But they last year kind of helped businesses in a new way, which is upgrading their text messaging, like, you know, text marketing services to instead of just be an SMS text to imessage. So it showed up, you know, in blue as an imessage instead of the green, which for some reason matters a lot. But I mean it really does when you're talking about follow up and marketing and authenticity, like a feeling of an authentic person you're chatting with. I find that because I have an iPhone, if it's blue, it seems like more real or something and less spammy. But Jane, what do you think about it?
Podcast Host Jamie
Okay. I think this is a, I think this is, this is a cool company. By the way, it's out of Birmingham, Alabama, which is awesome to hear. Any company not out of just Silicon Valley. Right. Or San Francisco. So that's cool. Okay. What I like about what this company is doing is I do think that there is a ton of untapped potential for so many different industries and markets. With messaging specifically, what they're doing is helping you inside of imessage, like text. You're basically having a text message chat with an AI model. They're helping companies to do that so you can text the company and then you're texting back and forth. With an AI model, it's a lot like what we're seeing with customer service, right? There's these customer service bubbles that when you go to a website you can talk with them. And like I use a lot of, I used to kind of hate it and I actually have had some pretty funny experiences with some. But I do have like a lot of AI ones where I will ask it. Like if I go to your website and ask your AI model for a refund and the AI agent gives me a refund, I don't care what you do. Fantastic. That's the greatest use case of all time. Or you know, fixing a bug on a website I think is less likely because it's going to send it over the development team. But like sometimes it can genuinely help you with things. If there's a double charge or a refund or whatever or an issue, if it can solve it, great. Now I think the next level on this is you have a lot of service based businesses, they're not software and people aren't, you know, if like your plumber, if you need a plumber to help you with something, you're not going to be on his website, you know, always being able to chat with it. Sometimes you're like in the thick of, you know, you're under your sink and there's a burst pipe. You need to text someone. Sometimes you just want to text a person. You might be away from the Internet and maybe the Internet's down, right? And so I think there's a lot of use cases where just being able to text someone and as an SMS is really useful. And it's funny, the way that they came up with their company was like, I mean basically they were just trying to help you send blue bubble texts on iMessenger and there's a whole bunch of stuff you could do. There's a bunch of companies that have sneaky ways to do this, right, where it's like automated systems but they can send blue bubble texts. And then they realized, well, this is actually a great thing for AI assistance for businesses. So I think this is really cool. You could just text the business directly text the business line and have an AI assistant which feels very much like a person. Like if you can make it feel like a person to answer all the questions, answering everything, it saves the business owner a ton of time. I know for my own local business, like I have a brick and mortar local business. It's a podcast studio in Arizona. I don't live there in Arizona. I have a studio manager that runs it. We get texts all the Time for people trying to do scheduling or change scheduling and being able to plug something like an AI model in that's actually able to do something and give people information. I mean a lot of the times you can the exact same questions about pricing and about schedule over and over again. If you can automate that. So whoever is in charge of it just has to kind of monitor and look over and it runs it all. I think that's an incredible use case, very useful for a business. And so I'm not surprised they're able to raise $20 million for this idea.
Podcast Host Co-host
Absolutely. I mean, yeah, especially when it comes to service based businesses. You know, usually people are calling about availability and price and if you can automate a lot of that, you're going to save yourself a lot of time and money, you know, paying somebody to basically be a secretary for you. So that's one side of it. And then there's the marketing side as well, you know, messaging, discounts and things like that. So really, you know, companies like this, I, I feel like honestly $20 million, I mean it is a lot of money, but there's a lot of, I think there's a lot of potential in this industry, specifically with marketing moving forward that, you know, there's, there's just a lot of opportunity.
Podcast Host Jamie
So yeah, I think this is kind of cool. So they're plugging into a lot of different systems. They are working with a company called Poke and now they're going to kind of stick with some of their original revenue thing which is basically B2B clients. They don't, they've done a lot of pivots which I think a lot of startups can relate to. But they had a quote where they said we still love our sales customers and we love that use case. But our, but our choices were do we stay a spoke of this wheel or do we build beyond or do we build the hub? Do we focus on being the infrastructure layer or on these different applications of Programmatic messaging? So basically they think that customers are suffering from app fatigue. And so with their technology you don't need to use another app to interact with like you don't need to download like you know, some sort of AI assistant to chat with something or be on a specific website. It's just all through text messaging. They said' poke.com along with others have provided or have proved that AI has gotten good enough. You don't need a traditional app anymore to do things really. You just need an interface that'll let you talk to an intelligent enough AI. Maybe connect to some of your systems and just tell them what to do and give it feedback. So I think at the end of the day this is really cool what they're doing and what the kind of the target audience that they're targeting. It feels kind of like what Apple Intelligence should be or Siri should be like Siri and Apple Intelligence should just be like on Imessenger there should just be like a Siri that I can text and it will tell me everything. I don't want like a custom, probably like specific another app on my phone. And so it's just, I don't know, it's always funny to me these startups are like plugging into systems and able to get this pulled off sooner than Apple could have. And they're literally using all of Apple's technology to do it.
Podcast Host Co-host
Right, I know, yeah. So it says it's, it's customers, links, customers. AI agents now reach 134,000 monthly active users via the platform and the company also facilitates more than 30 million messages per month. So to me that tells me that these people are actually chatting back and forth with the agents several times each, not just asking one question. So it appears that these agents are actually doing a lot of work for the companies and this results in zero churn for the company. That means they have not lost any customers or at least they don't on average from a month to month basis. So that's, that's pretty huge in a for a financial implications as well.
Podcast Host Jamie
Yeah, and I will say so this is their series A that they raised as $20 million. It was led by TQ Ventures. Mucker Capital was also in on this big VC and then a bunch of different angel investors all got in on this. One thing that like I guess is the, the concern here is that like Meta or Apple is going to do kind of what Meta does. Metta went and banned any other kind of third party messaging AI systems from integrating with their tools. But then I think right now in like India there's a, like a law that just made that illegal. So I think in India and I think we might see this other places. So it'll be interesting to see if they're, if they're ever banned by Apple who seems very close system or if that happens though it also seems like some countries are going to force Apple to let them in anyways because that's kind of the precedent that's getting set for Meta. So it's an interesting space. Right. They're building on top of Apple but they don't know if that's going to be a competitor or if they're going to get shut down. It seems like everything's good right now. So really interesting company, interesting concept. You don't need any more apps. You can just talk with Imessenger and talk directly for businesses plug into their systems. I love it. Guys, thank you so much for tuning into the podcast today. If this was interesting, if you learned anything new, make sure to leave us a rating review on the show. It really helps Jamie and I out a ton to get this show shown to more people. Basically if you leave a review it pushes us up in the algorithm. More people see the show in the search results and so yeah, it helps us to find more amazing people like yourself. So if you haven't done it already on Spotify it's the about tab, but on Apple, drop us some stars. Leave us a comment. We read them all, we really appreciate them and we hope you guys all have an amazing rest of your day.
Apollo Advertiser
Tired of juggling sales tools or spending hours on prospecting just to book a few meetings? Meet Apollo, the Go to Market platform for finding leads, connecting with buyers, and closing deals all in one place. Apollo gives you access to over 210 million contacts and AI that handles all your busy work finding leads, drafting emails, and even prioritizing your day. So stop paying for five different sales tools when one does it all. Visit Apollo IO and sign up free today.
Grainger Advertiser
If you're an H Vac technician and a call comes in, Grainger knows that you need a partner that helps you find the right product fast and hassle free. And you know that when the first problem of the day is a clanking blower motor, there's no need to break a sweat. With Grainger's easy to use website and product details, you're confident you'll soon have everything humming right along. Call 1-800-GRAINGER clickgrainger.com or just stop by Grainger for the ones who get it done.
Podcast: AI Hustle: Make Money from AI and ChatGPT, Midjourney, NVIDIA, Anthropic, OpenAI
Hosts: Jaeden Schafer & Jamie McCauley
Episode: Linq's $20 Million Bet on AI in Messaging
Date: February 11, 2026
This episode explores Linq, a Birmingham-based startup that just raised $20 million to revolutionize how businesses interact with customers by embedding AI assistants directly into messaging apps. The hosts discuss Linq’s origins, its pivot from digital business cards to AI-driven messaging, the transformative potential of AI in text marketing and customer service, and the broader implications of AI integration in widely-used messaging platforms. Competitive threats, regulatory trends, and the scalability of this approach are also discussed, with the hosts providing both insights and anecdotes from their personal entrepreneurial experiences.
Quote:
"What's interesting to me is that there's been a bunch of lawsuits like basically Meta didn't want to allow any other AI chatbots to be inside of their platforms... There's been a bunch of lawsuits from different countries... that have forced Meta to allow other AI assistants inside of their chat bots. So this is something that we're going to start seeing more of in the future and is kind of like Meta's moat, maybe that's slipping."
— Jamie (00:58)
Quote:
"They started as launching a digital business card business... But they last year kind of helped businesses in a new way, which is upgrading their text messaging, like, you know, text marketing services to instead of just be an SMS text to iMessage."
— Co-host (02:28)
Quote:
"If you can make it feel like a person to answer all the questions, answering everything, it saves the business owner a ton of time. I know for my own local business... We get texts all the time for people trying to do scheduling or change scheduling and being able to plug something like an AI model in that's actually able to do something and give people information... I think that's an incredible use case."
— Jamie (05:05)
Quote:
"They think that customers are suffering from app fatigue. And so with their technology, you don't need to use another app to interact... It's just all through text messaging... AI has gotten good enough. You don't need a traditional app anymore."
— Jamie (07:16)
Stat:
"Linq's customers’ AI agents now reach 134,000 monthly active users via the platform and the company also facilitates more than 30 million messages per month. So to me that tells me that these people are actually chatting back and forth... This results in zero churn for the company."
— Co-host (09:00)
Quote:
"One thing that... is the concern here is that like Meta or Apple is going to do kind of what Meta does. Meta went and banned any other kind of third-party messaging AI systems... But then I think right now in like India there's a law that just made that illegal."
— Jamie (09:42)
Quote:
"It feels kind of like what Apple Intelligence should be or Siri should be... there should just be like a Siri that I can text and it will tell me everything... It's always funny to me these startups are like plugging into systems and able to get this pulled off sooner than Apple could have."
— Jamie (08:13)
Jamie on authenticity and marketing through iMessage:
"I find that because I have an iPhone, if it's blue, it seems like more real or something and less spammy." (02:45)
On automating service businesses:
"If you can automate that. So whoever is in charge of it just has to kind of monitor and look over and it runs it all. I think that's an incredible use case"
— Jamie (05:45)
Co-host on the scale and stickiness:
"These agents are actually doing a lot of work... This results in zero churn for the company. That means they have not lost any customers or at least they don't on average from a month to month basis." (09:09)
| Time | Segment Description | |------------|------------------------------------------------------------------| | 00:58 | Jamie introduces Linq, Meta’s challenges, lawsuits, and AI bots | | 02:28 | Linq’s origin: digital business cards to iMessage marketing | | 03:51 | Deep dive: Value for service businesses, real-world examples | | 05:05 | Automating FAQs & scheduling with AI assistants | | 07:16 | “App fatigue,” B2B focus, infrastructure vs. app strategy | | 09:00 | Current traction: User base, messaging volume, “zero churn” | | 09:42 | Funding round, regulatory and platform risks, competition | | 10:30 | The vision: Messaging as the new consumer AI interface |
The episode concludes with the hosts emphasizing Linq’s impressive market traction and the broader trend toward AI-powered messaging. They predict that seamless integration of AI into everyday communication will shape the next big leap in both consumer and business technology, provided regulatory and platform access hurdles are managed.
For entrepreneurs and AI enthusiasts, this episode spotlights both the fast-moving opportunity in AI-driven communications and the risks posed by platform dynamics and regulation. Linq’s example serves as inspiration for building nimble solutions on top of dominant tech platforms, as well as a warning about the need to monitor the shifting boundaries these giants set.