UX for AI

EP 86. Meet the 21-year-old Entrepreneur Revolutionizing Recruitment with AI w/ Sebastian Hjärne

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In this enlightening conversation, we welcome 22-year-old serial entrepreneur Sebastian Hjärne, founder and CEO of Talentium, who shares his remarkable journey from school dropout to innovative tech founder. Sebastian opens up about his unconventional path, revealing how his boundless energy and constant stream of ideas made traditional education challenging. Rather than following the prescribed route of university, he chose to dive directly into entrepreneurship immediately after completing school in Sweden, despite concerns from friends and family.

Sebastian takes us through his entrepreneurial evolution across three distinct ventures. His first company emerged from identifying the difficulties in technical recruiting, which led to a successful exit after just seven months. His second venture, Clay Green, came from an unexpected source—tennis lessons. After noticing the environmental waste of tennis balls, Sebastian created a company that collects millions of tennis balls, separating the felt for insulation and rubber for children's playgrounds, showcasing his ability to solve problems across vastly different industries.

The conversation reveals how these experiences led Sebastian back to his original passion—fixing the broken recruitment process—with Talentium. He describes the platform's innovative approach, using an AI-powered ChatGPT-like interface that streamlines the entire hiring journey. Talentium automates tedious aspects of recruitment while maintaining human connection, allowing users to find candidates, communicate with them, schedule meetings, and even record and summarize interviews automatically.

Sebastian shares exciting insights about Talentium's upcoming evolution, explaining how they're refining their approach from seven distinct functions to a single, seamless workflow. He emphasizes their mission to become an essential recruiting tool for businesses of all sizes, from startups to enterprises, by addressing the universal challenge of finding and hiring talent efficiently.

The discussion extends beyond Talentium to Sebastian's thoughtful perspectives on the future of AI applications. He cautions against the trend of companies simply adding "AI" labels to their products without solid foundations, stressing that successful AI integration requires robust underlying systems. Sebastian envisions progression from prompt-based interactions to agent-based approaches where AI can autonomously handle complex tasks like booking travel or managing recruitment.

Throughout the conversation, Sebastian's entrepreneurial philosophy shines through—identify real problems, build solutions that work, and continually iterate based on user feedback. His journey demonstrates how personal frustrations can inspire innovative businesses, as his struggles with recruitment across all his ventures ultimately led to creating a solution that could transform the industry.

Sebastian's inspiring story serves as a powerful reminder that unconventional paths can lead to extraordinary outcomes, and that entrepreneurship offers an alternative route for those who, like him, might not fit neatly into traditional educational structures. The episode concludes with his encouraging message to listeners: "Just start, just do it," reinforcing that the best way to learn is by taking action and figuring things out along the way.

You can find Sebastian at: 

https://www.linkedin.com/in/sebastian-hj%C3%A4rne-4445961a4/

https://talentium.io/

Interested in joining the podcast? DM Behrad on LinkedIn:
https://www.linkedin.com/in/behradmirafshar/

This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:
https://www.bonanza-studios.com/

00:00:02:10 - 00:00:06:01
Speaker 1
Welcome to UX For AI.

00:00:06:03 - 00:00:10:00
Speaker 2
Tell me about school.

00:00:10:02 - 00:00:13:12
Speaker 3
I from the beginning.

00:00:13:14 - 00:00:22:16
Speaker 2
Yeah. So you didn't go to university at all, right? You just like you realized that. You know what? It's not for me. Skip it. Let's just bean Starbucks.

00:00:22:17 - 00:00:43:01
Speaker 3
I think for me. You know, school is, an amazing thing in a lot of aspects, right? But in the same way, like, for, I don't think like, it's for everyone. You know, and I was this kind of person where I had, like, so much energy, like, in general. And I had, like, a lot of ideas, you know, circling around the inside of my head.

00:00:43:03 - 00:00:53:12
Speaker 3
You just wanted to understand, you know, things. And I think, you know, just just sitting on my place wasn't, like, always that easy. How to sort of say. And I think. Yeah. So. Yeah.

00:00:53:12 - 00:01:02:00
Speaker 2
So I already feel that when I'm talking to you, I kind of sit on my seat, like you just going to drop something. I'm going to be super excited. What is it going to be?

00:01:02:02 - 00:01:20:03
Speaker 3
I think that was kind of where it started. And for me, you know, I think like the subject in school was, you know, so different. We have everything from like, you know, nature and all these kind of stuff. But I was more interested in like, you know, solving problems. So I maybe, like, faced a problem.

00:01:20:03 - 00:01:41:06
Speaker 3
I wanted to do something. It could be everything from, like, finding, like, a new way to, you know, book. Book an apartment or, like, a hotel. Because I felt like there was a problem, like, something like. Okay, I wanted, I wanted to do, like, traveling somewhere, but I got stuck, you know, somewhere in the middle because, like, yeah, I didn't have the money.

00:01:41:06 - 00:02:05:23
Speaker 3
So I started to think, maybe you can have, like, an apartment, like, your apartment is stackable and you can rent it out, like, to someone, and then you could switch places. And just like all these crazy ideas, just, like, always pop in, like, inside of my head. And I think when I was like, you know, for it. And I had the one other Chris idea, which was like, yeah, you know, I wanted to, because, when I like, booked a taxi once, I were like, okay, why?

00:02:06:00 - 00:02:25:17
Speaker 3
Because I check the price and all the different apps, you know, sitting like first on Uber, then on bolt, then on like it was tons of different. So I were like, yeah, why don't you just have like, I'm not an all in one like, tax app and you can check like which, which taxi is the closest, you know, what is the, amount of each, taxi provider and all this kind of stuff.

00:02:25:19 - 00:02:30:21
Speaker 3
So I think, you know, for me, I just have a lot of energy, a lot of ideas and.

00:02:30:21 - 00:02:41:14
Speaker 2
Yeah, beautiful, inspiring and energizing. So. So, and what I would love to know is that if you would like to share. How old are you?

00:02:41:16 - 00:02:44:08
Speaker 3
I'm. I'm 22. Brilliant.

00:02:44:10 - 00:03:21:18
Speaker 2
Absolutely fantastic. Well, 22. And I'm. Guys, you're going to get into Talentium. You. But I think the reason I would like to basically Sebastian dive a bit into your background because a lot of founders are listening to this and they're not necessarily technical. So I feel like delving deeper in your background will give them another confirmation point that, hey, right now in this age of AI, you don't need to be technical to launch a startup and kill it.

00:03:21:22 - 00:03:41:18
Speaker 3
I think, you know, it's it's absolutely correct. And I think, you know, the space is moving so fast. Yeah, everything's like solution, like, you know, lovable, for example. So lovable where you can, like, from nowhere. Now you can start, like the prompt something and then like you're seeing, you know, you're starting to see like the software, like building like itself.

00:03:41:18 - 00:03:57:22
Speaker 3
And you have tons of these kind of tools that come to life, which I think is it's so cool. And when I started, it was a very different kind of, you know, space in general because like, I wasn't like a huge thing. So I think, this is my third startup kind of like dimension that as well.

00:03:57:24 - 00:04:17:04
Speaker 3
And when I even, like, started my first one, I was sitting, you know, I was searching for the machine learning engineers, like, everywhere. But no one has even, like, wrote that they were much. And then learning engineers, it was like even harder back then. And I think just, in a very short amount of time, like it's happened so much in the space.

00:04:17:04 - 00:04:39:06
Speaker 3
So for, for me, when I started, you know, the biggest thing and, and one and, and one thing that, that I should mention is that I wasn't super technical. That is something that has like come with me as I have growth with like people together. So I was more like on the commercial side. But then I met this kind of person that was like super technical, like from the AI services.

00:04:39:06 - 00:04:58:14
Speaker 3
And I just started to learn, started to learn and I think it was so interesting. We were literally like night and day because I was the one, like sitting in all these kind of, you know, conversations with customers and he was one like building, like architecture. But in the same sense, he was also the one sitting in all the commercial calls.

00:04:58:14 - 00:05:17:04
Speaker 3
And I was also the one sitting with all the devs. So just by like working very closely with that process, like made me learn so much, just work together and now and like just like one year after I, I was like literally like CTO, you know, sitting and driving the hours to take. We switched on like the CPO because it's a startup, right.

00:05:17:04 - 00:05:36:08
Speaker 3
So you need to be everywhere. I was CTO, CTO, head of customer success, head of sales. So I think it's so interesting to see for me what I think is, you know, it's still like found this out there that I'm talking with like daily and they're saying like the same thing. They are not super technical, but how should you get started?

00:05:36:10 - 00:05:44:11
Speaker 3
And I think, you know, just get out there, just try to learn, you know, get a subject and and just start. I think that is like the first thing you should like.

00:05:44:11 - 00:06:11:15
Speaker 2
I've got Karl on the podcast we just released episode and he closed 1.6 million. Right. And he said, I literally grind it out. I, I've got he said like I've got V0 versal cloud. I grind it out to did I got my MVP out and you were saying the same thing as well. You seems like it's sort of like a you're you're addicted self learner.

00:06:11:15 - 00:06:20:24
Speaker 2
How if I want to brand you properly, you don't know what to do. You dive deep cpo, CTO, customer service I get it done.

00:06:20:24 - 00:06:38:04
Speaker 3
And I think, you know, that is like, yeah, I want to, you know, you want to deep dive into these problems, understand them, like take part of them. Of course, that is like isn't lifelong because like eventually you will need to scale in some way, even though like from the beginning I was like super stubborn, like I won't scale, we will do this.

00:06:38:04 - 00:07:00:09
Speaker 3
Like we will create this, but eventually you, you're starting to see like, you know, you need there is so much like people out there that can contribute so much. And I think that is like super important also to humble for like people and like what they are producing and like all this kind of stuff because you're, you can get like so much learning out of mistakes already being made and you know, all these kind of part.

00:07:00:09 - 00:07:11:11
Speaker 3
So I think that it is like almost like one, one of the most important part also, because I wouldn't be able to learn like technical perspective if I, if I was by myself.

00:07:11:11 - 00:07:21:24
Speaker 2
So. Right now you are founder CEO of Talentium. You also you have another startup running as well which is Clay green. Is that correct? Yeah.

00:07:21:24 - 00:07:22:21
Speaker 3
It's correct.

00:07:22:23 - 00:07:40:08
Speaker 2
So what me through what how did you end up with Clay green and then. Then. Seems like you, you know, you found a very good idea. Talentium own, which I'm really excited to talk about. And then you ran with that one as well.

00:07:40:08 - 00:07:56:22
Speaker 3
Yeah. I think, this story, like from the absolute beginning was that this back to the problem kind of side. I started like early and I were like, you know, every one of my friends, you know, they told me like, yeah, you need to study, you need to do all of these kind of stuff. And you had this kind of proper plan since you were born.

00:07:56:22 - 00:08:16:11
Speaker 3
You know, you go to school, then you go to school again, then you start to work, then you work yourself like up in the organization. And, and I think from my side, like, I, I had the hard time to fit in like that kind of, like, puzzle like this in myself, like, because I had so much idea and I wanted to do so much, so much else.

00:08:16:11 - 00:08:43:02
Speaker 3
So I started my first company directly after I like exam from school, like, you know, you know, here in Sweden. And, I think directly after that I just startup and everyone, like my parents were like, okay, who who is going to support you now with money? And, you know, like what is like the things and, you know, all these kind of questions come up now or like, and I would just say, you know, this is what I want to do and I will like, make it like in some way.

00:08:43:04 - 00:09:02:16
Speaker 3
And then I basically just like risked everything. I, I just started with an idea. I don't say that is the right thing to do. To be honest, because I think you can also, you know, start like small. You don't need to risk everything. But that was my approach. So I started, I risked everything, and after like seven months, I actually did like an exit out of it.

00:09:02:16 - 00:09:27:03
Speaker 3
So it was a super fast process. So we go like, quiet. But I saw this huge problem in my first company and my journey, that the recruitment was so hard and especially for me, who was like non-technical. I was sitting on GitHub, StackOverflow. Well found, even like back then and trying to, you know, analyze. Okay, what can we like, do better and in the same sense, like the only source.

00:09:27:03 - 00:09:42:21
Speaker 3
But you can really, like find good Talentium spots on LinkedIn. So I saw the problem. I felt that, you know, so it was a little bit back then, but then after I sold out and I didn't really know what to do, so I was back to kind of square one. I had a little bit more freedom, and I wanted to do something else.

00:09:42:21 - 00:10:06:20
Speaker 3
So I was out traveling and I actually started to play tennis. So that was how I got to like the second one. So I went for two tennis lessons. And from that lessons, I were like, okay, I bought two new tennis ball cans. You know, because you need tennis balls to play tennis. And like the trainer said, yeah, but, you know, it's not too good bounce or whatever, like on those tennis balls.

00:10:06:22 - 00:10:28:02
Speaker 3
So I were like, okay, shit. You know, I, I started to think about the problem, but if I buy two tennis balls, cans, like, for me as two thumbs, you know, how how does other people does it, you know, and all this kind of stuff. And then that was kind of how playground was started. So Clay green is basically a company where we are gathering millions of tennis balls.

00:10:28:02 - 00:10:50:01
Speaker 3
We are separating the field from the rubber. And with the rubber, we are actually building new playgrounds for children's and like, you know, doing stuff out of the pure rubber. And with the field, we are actually adding up like a fiber so that you can use it inside of walls, like as warm insulation and make it hard. So not like boxy that, you know, it's don't start to burn and all these kind of stuff.

00:10:50:03 - 00:11:11:03
Speaker 3
So it's like super different from like my first in more like analyzing huge amount of data to not working with the tennis balls. So but it was super interesting journey and I think like for me and for my learning curve, it was like, you know, first I was working with take. It was super exciting. Now I was in a completely different industry where I'm supposed now to work with this contact lens.

00:11:11:03 - 00:11:43:14
Speaker 3
I feel like, you know, sitting with getting approved rubber, you know, it's takes like so long and it's so different from just like selling something to like a company B2B or like working with to sell. And it's back to, to exact the same problem that I first saw. I saw it's so hard to find people, you know, I, I was searching for machine engineers at player in that could like work with this huge machine at this group I was searching for machine learning engineers and that's where the Talentium team got spawn.

00:11:43:18 - 00:11:47:05
Speaker 3
So I think and that is like the last part of it.

00:11:47:05 - 00:12:20:09
Speaker 2
So basically you went around the circle, you started with, addressing a recruiting problem, then you went on the second adventure play, Green Complete a curve ball type compared to where you were going. But both businesses probably the same thing, that recruiting is still going to be a problem. Then the third item, which I think is the the I think the way I see it right now is the most mature attempt is again, recruiting.

00:12:20:09 - 00:12:27:02
Speaker 2
So the question here is what change compared to your first attempt with Talentium?

00:12:27:02 - 00:12:46:05
Speaker 3
You I think you got so much learning. You know that because the starting curve is always getting like smaller. I think. So from the first beginning it was so hard. Like what? Where should you start? You have never done this before. You don't know like where to start with everything. When we now started Talentiumed, we kind of had an idea in which direction we wanted to go.

00:12:46:07 - 00:13:06:15
Speaker 3
We know that. Okay. We need to have, like, be like, user friendly, like, have a nice design for things. You should make it like a very, like, workable product. I think, like our thesis was like, make something that really works, like, resonates and like, really works. So, basically from the beginning we just started to use our own solutions pretty fast.

00:13:06:15 - 00:13:26:15
Speaker 3
We developed like an MVP with around this as okay, apart from LinkedIn. So we didn't use LinkedIn at all. So like how can we find and like utilize the rest of the sources? That is like, you know, out there. So we basically recruited our own technical team through Tarentum as our first version on our MVP. And that's like huge.

00:13:26:15 - 00:13:48:05
Speaker 3
And it was like a huge success for us. Also like internally to see that then it's really working. Yeah. The cool. Yeah. And the cool part of it was also like we recruited this person's like from, you know, San Francisco, China, Indonesia, sitting in like our small apartment. Me and Noah back then, you know, chatting with these people.

00:13:48:05 - 00:14:10:24
Speaker 3
And we just like looked at like each other and like, were like, okay, this is a completely new way of both hiring people, but also like how you can run a business. So it was more like, I want to find these people that can build this and then just find the perfect fit for that job. And from there, we just like build a global team, which I think is very interesting and very different.

00:14:11:01 - 00:14:14:06
Speaker 2
How big right now your team is at turning to?

00:14:14:08 - 00:14:38:11
Speaker 3
We are around 15 people right now. And then we are also having, consultants, like consults, basically. Also, and I think we are like, a very close team together, like, everyone is working, on the same, you know, kind of, topics and like, as a team. And it's so amazing to see, like, all the customers, getting back with amazing, like, feedback.

00:14:38:11 - 00:14:54:13
Speaker 3
And we also see, like. Yeah, we also see like that, like huge market pool that we are getting is so crazy, you know, and and yeah. As very soon launching our new version, and really trying to fix the hiring, I think it's, it will be super good.

00:14:54:18 - 00:15:34:23
Speaker 2
So your current version, when I was checking Talentiumo for the first time for me was, wow, this is really cool. This is like taking recruiting to a whole new level. So just to give you to give an audience, a bit of a plot, how I see Talentium team and then basically, I leave you to sort of like, fill in the gaps and complete the picture is that it's a ChatGPT like environment where the main interaction with Talentium team is through prompt commenting, the same way that you do with chat.

00:15:34:23 - 00:16:12:18
Speaker 2
You. But the beauty of it here is that it borrows the traditional UI components like widgets, cards, calendars to allow you to go through the entire recruiting journey with ease because not only you would like to, for example, search for candidates, you would like to know their background. You would like to send them emails, fix a date appointment with them on your calendar so everything can be done via Talentium team.

00:16:12:18 - 00:16:20:08
Speaker 2
Is that a good summary of how I see and what Talentium as current version we see on the website is Sebastian.

00:16:20:10 - 00:16:43:06
Speaker 3
Yeah, I think so. I think it's pretty good. So it's exactly what you are describing. We are like in this kind of gpt2 kind of environment, and you are sitting and chatting and prompting and like really defining like what you are like looking for. And I think with the current version, yes. To give everyone a picture like of what we have done is that we have automated the already existing problems.

00:16:43:08 - 00:17:02:07
Speaker 3
It can be a small problem as like, you know, joining a meeting, you know, and a recruiter is sitting and taking notes and it takes like pretty much time to just like sitting and trying to take notes and everything so small it can be, you know, we can just record a meeting, summarize it and put it on the candidate card automatically just to show you a picture of it.

00:17:02:07 - 00:17:23:11
Speaker 3
And we are trying to do kind of these kind of parts. Like in the entire process, it can be everything from just sitting and like updating your entire idea system with Talentium team. You never need to do that. The sourcing part is automated, the communication part is out the method. So for you, you should only be focusing on what truly matters.

00:17:23:11 - 00:17:33:00
Speaker 3
Connecting with Talentiums, meeting and meeting with correct people so that like you can meet a lot more candidate, get like a wider pool and basically like that.

00:17:33:00 - 00:17:48:07
Speaker 2
So you basically could have the calls with the, Talentiums through Talentium you. So there's like a zoom integration, Google Meet integration. You hop on the call, you have the call transfer will be ready. Summary will be added to the candidate profile.

00:17:48:11 - 00:17:55:20
Speaker 3
Exactly. So that. Yeah. And that is just like part of it. And we are having so much like automation in the entire process.

00:17:55:23 - 00:18:07:23
Speaker 2
Was that the initial vision that you had when you wanted to design Talentium team or, or was it something that got to this stage through talking to your customers?

00:18:07:24 - 00:18:27:06
Speaker 3
I think, you know, I think it's, it's, you know, from the beginning we just had this idea of building, like, this search engine where we can find, like, you know, the right Talentium, and then we kind of address the problem. Like, it's not about only finding. It's about hiring. So Talentium ume is the way from that.

00:18:27:06 - 00:18:45:12
Speaker 3
You're finding a Talentium until it's hired. And then we are letting go of the process. And I think what we need to understand is, you know, the process has been broken for very long. And we are like trying to fix it in our approach and we can't fix it by that already existing solutions because it's already broken the process.

00:18:45:18 - 00:19:08:24
Speaker 3
So even if we were to do like a comprehensive, you know, solution for what is already working, we are kind of, you know, saying that, you know, we are just taking your tools and that we are developing something, you know, that is already working and we are automating some parts of it, and it's good and it's working. But what we are actually doing with our latest launch is that we are really thinking how we are doing it.

00:19:09:01 - 00:19:18:16
Speaker 3
So just to give you a little bit of to so we are actually going down from seven functions inside of Talentium team to one. Super easy and proper flow.

00:19:18:20 - 00:19:22:10
Speaker 2
Can be no more. This.

00:19:22:12 - 00:19:47:17
Speaker 3
Is yes, of course. So I can give you a little bit. So basically, like out of our learnings, we want to make it assistive for like people and companies to, to understand Talentium as possible. So instead of like adding up so much functions, we're actually scaling it down. But to be able to scale things down, we need also to understand like how the processing is working to be able to like solve a problem, we really need to understand why do we have a dashboard from the beginning?

00:19:47:22 - 00:20:07:17
Speaker 3
Why do we even have this candidate start from the beginning? And why have someone solve this from before? So we are actually rethinking a lot of things in the in the new design. And it's and, and what we will achieve with that is like, it's so easy to use and everything is merged into one beautiful. So, so from that to finding a candidate, everything is super clear.

00:20:07:17 - 00:20:27:04
Speaker 3
What you should do with the candidate and I think what we are trying to achieve with Talentium team is to make something like a must have in the recruitment tool stack so it can be, you know, once you are starting a business, you should directly know, okay, it should be like you're starting up like a notion, doc. Like to get your thoughts down, your starting Talentium.

00:20:27:04 - 00:20:35:03
Speaker 3
You start like your recruitment process and understanding what you need to start your business, both from the problem perspective but also from the hiring perspective.

00:20:35:06 - 00:21:03:07
Speaker 2
So basically you're moving moving away from okay, I have a my business is growing. I need to recruit. Let me go find recruiting to to that. So basically you're trying to basically become the recruiting agent that startups companies could rely upon, always refer to and always use basically always on recruiting agent at your disposal.

00:21:03:07 - 00:21:21:24
Speaker 3
100% and be here, like helping you in the entire journey. Like if you don't know what you're looking for, we will be here. Like describing that for you. We are introducing a new function which is super interesting called smart networks. And like to be able to proactively like also work with like your networks and all this kind of stuff.

00:21:22:01 - 00:21:45:12
Speaker 3
And I think like everything merge together into one super easy flow. And I think that is exactly like based both on the market perspective, my vision and everything that we have seen from before. It's so clear, like where I see Talentium from going and yeah, from from us. We are of course like doing some some testing already. And it's amazing, you know, both from our perspective but also with selected customers.

00:21:45:12 - 00:21:55:23
Speaker 3
So you know, now now it's just like, for us to, you know, do this in the right kind of speed and then like very soon, like launch it so that everyone can start, trying it out.

00:21:56:01 - 00:22:27:20
Speaker 2
If follow up question here. So I think, what I will say is that the need of smaller companies for to recruit is completely different from the needs a bigger comprehensive recruit, a small company may have one or 2 or 3 job openings, but the bigger companies may have 2000 200 job openings. Can Talentium to, serve both type of companies, or is it only suited like best fitted to the needs of a smaller companies?

00:22:27:21 - 00:22:52:08
Speaker 3
I think we can like in general, we are serving everything from like huge enterprises today to like, you know, startups to recruitment firms, executive search firms. But Talentium term is actually, you know, already today serving all these kind of different needs, like with solution. Because usually when you are looking, the process is looking the same. You are relying on LinkedIn, you are having like you know, ads system.

00:22:52:08 - 00:23:12:21
Speaker 3
And apart from that you maybe have like evaluation tool like for example, overlaps and all this kind of stuff. And the process for a startup, you know, maybe they're looking for something like different, of course, in like Talentiums like co-founders or like this kind of aspect. But if you are thinking about it, everyone starts by defining what they're looking for.

00:23:13:00 - 00:23:34:01
Speaker 3
Startups might not know what they're looking for, so then we can help them on the way. But still, enterprises, when they're sitting in their room, they're saying, we are needing this space and this, you know, this. It's the same part of defining from that you are then starting like the sourcing process, depending on how fast you wanted to do the recruitment, you can use a little bit different approaches.

00:23:34:03 - 00:23:55:07
Speaker 3
So either you can use like sourcing tool. You're going out there, you're selling on LinkedIn. You can do like the job posting which is more like people actively searching for job. Or you can use like a network. Maybe you're knowing somewhere inside of your network. And I think what is super like interesting with this is today Talentium team is really focusing on headhunting.

00:23:55:08 - 00:24:08:05
Speaker 3
But with our next version we are focusing also on inbound application networking effect and also the headhunting part. So we will be able to serve the entire circle with less functions and much easier flow.

00:24:08:05 - 00:24:35:01
Speaker 2
Oh wow. So you are basically adding more sources to basically more data streams to source candidates for the with the new updates. That makes sense. That makes a lot of sense. Have you thought about social signaling as well? Like, I think there is a lot of application out there for sales that, they, they basically track influencers. They attract, like certain conversation on LinkedIn.

00:24:35:03 - 00:24:45:24
Speaker 2
And then based on who is following which conversation, they can source you, all the people that are interested about that topic, I think it's social signaling. We could become interesting for you guys as well.

00:24:46:02 - 00:24:58:06
Speaker 3
Yes. And we are actually introducing something called Possible Score. So when to reach out to specific candidates. On specific like when it now it's now I think it's time for you to reach out to this specific person.

00:24:58:06 - 00:25:09:17
Speaker 2
Oh, fantastic. Okay, so basically, amongst all the candidates you've saved, basically, you could tell them, hey, Bera, you saved this guy, or this year, like, three months ago. We think they're.

00:25:09:18 - 00:25:10:24
Speaker 3
Ready. Yes.

00:25:11:01 - 00:25:17:05
Speaker 2
That's really cool. I think I would, I would see that a lot of companies would love to have that feature. If it's if it's done well.

00:25:17:10 - 00:25:34:11
Speaker 3
Yes. And I think also, you know, just like a very easy flow, you know, in a couple of seconds you will have found your dream candidates. And from there you have already like an outreach that is super well performed, tasks. And from there like just, you know, showing up with meeting with customers and, you know, just focusing on that.

00:25:34:11 - 00:25:55:11
Speaker 3
So remove the rest of the parts in the process. I think that is what we are trying to achieve. And we have this amazing team now, both from the, you know, technical perspective with like competitive programmers like I gold medalist like is world finalist. It's amazing to see these people contributing together from different parts of the world, you know, and trying to like, achieve the same goal.

00:25:55:11 - 00:26:01:08
Speaker 3
Like, how can we make hiring better. So I think it's a lot of very interesting parts that is like, oh, when.

00:26:01:08 - 00:26:04:05
Speaker 2
Can we see a teaser of the new Talentium you.

00:26:04:07 - 00:26:28:11
Speaker 3
We will be able to like, we have actually introduced our early access program now, which has been like a huge, like we have so much people already, like signed up, which is so cool. So we will start to launch like, you know, partnership and collaborations, like, everything here from, like three weeks from now, but, what we will do, like, eventually is, we will launch, like, the bigger launch in, like, the 1st of April.

00:26:28:11 - 00:26:52:21
Speaker 2
Fantastic. So, I would, you know, I if I have you here on the pod and do not take your, What do not get your take on the future of AI and how it's going to disrupt and, traditional application. I think I haven't done a good justice. Right. So at age 22, we came up with such a brilliant application.

00:26:52:22 - 00:27:19:01
Speaker 2
I really welcome everyone to check out Talentiumed with this very. Yeah, I think it's a it's a very great example of how you can create a, AI native application. What's your take on the future of, application? The innovations that we are seeing, what are the areas that you're really excited about, data and areas that you think they're overhyped.

00:27:19:03 - 00:27:27:02
Speaker 2
What do you think from the traditional app design perspective? What are the areas with stay and what are the areas will become obsolete?

00:27:27:03 - 00:27:51:05
Speaker 3
Yeah I think yeah. You know, it's it's actually, a very cool, thing. There is another like startup in Stockholm. That is like doing also great things. I mentioned them before, but they're lovable. I think, you know, solutions like that, that like, you know, you can based out of a prompt, like, produce something like, super fast, like, based out of idea.

00:27:51:05 - 00:28:10:02
Speaker 3
It's like, very cool. And I think that kind of solution will have also like shake, shake, dispense a lot, you know, for, for something to, you know, very fast, be able to develop something. But in the same aspect I also see like, companies, of course, in, you know, in my space I think is so inefficient is so much manual work.

00:28:10:02 - 00:28:28:21
Speaker 3
So, yeah, you know, we will also like change a lot. Oh, like, that is what, what we are seeing, of course, a little bit biased since we are like building. But yeah. And my take on AI, like in general is that, you know, I think it will become like much more, like a gigantic and a lot more like.

00:28:28:21 - 00:28:47:12
Speaker 3
Yeah, than. So I think it it won't be like that. They are prompting as much like as you have done before. I see it like, as, for example, you have an idea, you know, you want to maybe, like, plan a trip or whatever, like before. Maybe you are sending a prompting or saying like, hey, which is the best website to do this, this and this.

00:28:47:12 - 00:29:15:06
Speaker 3
For example. But now I think you can just like, use the same tools with an agent like approach because the first one is super solid. So I think you can you can just say to our agent, like, yeah, book this trip for me. We have this, this and this inquiry. So and I basically does everything for you. So I think that is like where I see the space going is a little bit more I think in general, I also think it will be even more than that eventually.

00:29:15:06 - 00:29:43:14
Speaker 3
I so how I see it is basically like eventually you will see, you will see. Everything is like super automated. Of course. It's like, I don't think approach, but it's more like, okay, you are going into an app and you're getting matching directly because based on like different preferences. So it's like even one step further. But what I really see and like a hard part with it, is that I see so much solutions out there going out and say, like, hey, we're having this Atlantic approach.

00:29:43:14 - 00:30:03:07
Speaker 3
Like, yeah, we are doing this and this and this. And how I see it is basically, you need a super solid foundation in order to be able to build like super good agents. You need a very solid foundation of what you're building. So in our case, if we were to say like, okay, we are launching like Ted, our identity approach, then the search engine needs to be working properly.

00:30:03:07 - 00:30:23:22
Speaker 3
Because if if I can do good searches on my search engine, how should an agent be able to do like good search and searches on the search engine? So that is like back to the infrastructure and everything that you are building. So if everything is building on Jupiter, for example, and Jupiter is not good, then of course the agent would deliver like good results.

00:30:23:22 - 00:30:39:24
Speaker 3
So I think it's back like one step back. I think, you know, build a very solid product. It's amazing. It's working for a use case. Then add an agent and don't go from the beginning as a like, hey, I just doing an AI, agent approach because like I think that is very, very dangerous.

00:30:39:24 - 00:31:01:11
Speaker 2
I mean, it reminded me of a soup job. Swim is code that always you have to, like, envision a great user experience and you need to basically then reverse engineer from that, not the other way around. Not saying that, okay, we have no agent. Agent is hype. Let's just do something with the agent. You know, first you need to see whether you can deliver a good user experience.

00:31:01:11 - 00:31:07:20
Speaker 2
If that's the case, then yes, that technology needs to be on the table. Otherwise, no, don't do it because it's hard.

00:31:07:21 - 00:31:24:13
Speaker 3
Exactly. And I think so many companies is now like trying to write AI everywhere. And you know, it's just as, okay, where can we fit AI instead of like they're kind of loose in the purpose, like, what are you doing? You even as an organization, I'm just writing. I'm doing AI and agents. Okay. But what do you do?

00:31:24:15 - 00:31:51:05
Speaker 3
And it's super hard to understand the messaging because it's just AI everywhere. So I think it's back to the core, you know, it's a hype. Yes, of course, but. Okay. What are you solving a problem? What what are you actually trying to achieve so that everyone can understand this? And then back to functionality like okay, when once you have addressed the problem, like okay, how can you build like certain things and like break it down to different problems instead of just like, trying to replicate like AI everywhere.

00:31:51:11 - 00:31:52:02
Speaker 3
And yeah.

00:31:52:04 - 00:32:09:03
Speaker 2
And lastly, recruiting is a massive space. I know I've worked in this space a lot. There are zillions of competitors are basically you're dealing with do you think there is a place for traditional H.R. Recruiting apps or they are going to go?

00:32:09:05 - 00:32:35:11
Speaker 3
I think depending on how you're seeing it, like what we are trying to say with Talentium team is not like to make recruiter vanished in an aspect. We are trying to make them like super superhumans. You know, we are still seeing like the the human in the loop. So for us is like very important to say that, like, you know, recruiters is, like, recruitment in general is evolving rather than disappearing.

00:32:35:11 - 00:32:52:13
Speaker 3
You know, it's just like a new kind of shift. And you can see that in every single like industry, if you take like back in time, as recruitment has been from very long before you can say, for example, that way, way, way back, you have this kind of minor tribes, you know, sitting in like, you know, the they kind of the kids.

00:32:52:15 - 00:33:16:08
Speaker 3
And once maybe you were supposed to recruit someone because this has always been there. Then you went to another tribe and you were asking, do you have someone that has, like a bow or whatever that can help us with this? It was like word by mouth right then, you know, as evolution grows and I guess as we are like, you know, growing as, society and all this kind of stuff, we are getting more and more like ultimate in different parts.

00:33:16:08 - 00:33:36:21
Speaker 3
And then I think eventually LinkedIn came and we suddenly, like, stopped developing this, so I think, you know, the new era, is, like here, and it's like with AI and recruiting and that is like how we are seeing it here at Atlantic. So we are trying to I like the forefront of this and, you know, really rethinking the space.

00:33:36:21 - 00:33:49:20
Speaker 3
So I think there is like, companies that trying to solve different problems. But, but we are trying to see is actually the hiring process to make it as easy and as efficient as possible. With, with the problem in, in, in focus.

00:33:49:24 - 00:34:03:02
Speaker 2
Inspiring and, that's such a young age, man. Like you're doing you're moving mountains. I cannot I will be surprised. Two years down the road, I see I see that either you're like close a massive round or you end up in San Francisco.

00:34:03:04 - 00:34:05:14
Speaker 3
Yeah.

00:34:05:16 - 00:34:08:00
Speaker 3
Yeah, probably. You never know. You never.

00:34:08:00 - 00:34:11:03
Speaker 2
Know. Any last words? No.

00:34:11:03 - 00:34:31:04
Speaker 3
I just want to say, to everyone listening that, you know, just start, just do it. You know, that's like my and and words. And that is what I'm saying to everyone, you know, because if you don't start, you you aren't getting out there and and that is like how I see how I see it, you know, you are figuring it out like by by the road.

00:34:31:06 - 00:34:42:24
Speaker 1
Thank you for listening to UX for AI. Join us next week for more insightful conversations about the impact of artificial intelligence in development, design, and user experience.