In short
When Shift Happens Podcast - Episode 26: Ex-Kraken MD: Secrets to Building Fintech Giants
Podcast Overview
- Host: Kevin
- Guest: Jakub Zakrzewski, former Managing Director at Kraken and key player in the success of fintechs like Revolut and Lazada.
- Objective: Discuss insights from Jakub's journey in fintech, decision-making in startups, the role of blockchain in finance, and personal optimization techniques through biohacking.
Key Topics Discussed Jakub's Background
- Career Path:
- First employee at Lazada (acquired by Alibaba for $1B).
- Key role in expanding Revolut into Asia-Pacific (valued at $33B).
- Managed Kraken's growth in Asia.
Key Turning Points in Jakub's Career
- Defining Moments:
- Writing a thesis on early-stage startup financing led to opportunities in startups.
- Joining Revolut in 2017 during the fintech boom.
- Transitioning to Kraken and embracing the crypto space.
Decision-Making in Startups
- Mindset Evolution:
- Early career focused on hard work and analytical skills.
- Transitioned to valuing team dynamics, complementing skills, and making informed decisions quickly.
- Decentralization vs. Centralization:
- Early-stage companies require quick decisions based on limited data, emphasizing operational flexibility and adaptability.
Hiring Practices
- Early-Stage Hiring:
- Importance of hiring individuals who thrive in chaos and uncertainty.
- Recognizing that different stages of a company demand different types of talent.
Advice for Youth and Founders
- For 17-18 Year Olds:
- Emphasizes trying various paths and avoiding early closure of options.
- Importance of adaptability and continuous learning over rigid plans.
- Founders:
- The significance of understanding product-market fit rather than focusing solely on solutions.
- The impact of early hires on future success.
The Role of Luck in Success
- Luck Defined:
- "Luck is when preparation meets opportunity."
- Importance of hard work and analytical thinking to be positioned for luck.
Future Trends in Finance
- Blockchain and Crypto:
- Strong belief in the future of money being on blockchain.
- Observations about how distrust in traditional financial systems may fuel the growth of cryptocurrency.
Biohacking for Optimization
- Personal Development Techniques:
- Iterative approach to optimizing mind and body for peak performance.
- Insights into dietary changes, exercise routines, and the impact of alcohol on productivity.
Key Takeaways
- The critical balance between hard work and being in the right place at the right time.
- Continuous learning and adaptation are vital for success in fast-paced environments like fintech and crypto.
- Building a strong team is fundamental; hire individuals who complement each other’s strengths and weaknesses.
- Understand the importance of maintaining one’s health and optimizing performance through lifestyle choices.
Conclusion
- Final Advice:
- Deserving one's luck through preparation, hard work, and an ability to learn and adapt.
Follow Jakub
- [Jakub's LinkedIn](https://de.linkedin.com/in/zakrzewskijakub)
Subscribe and Connect
- Podcast Links: Available on [Spotify](https://open.spotify.com/show/7JqCB5tnRky7XS7NRFWQJt) and [Apple Podcasts](https://podcasts.apple.com/gb/podcast/the-yield-labs-podcast/id1596083462)
- YouTube Channel: [Yield Labs YouTube](https://www.youtube.com/@yieldlabs)
- Newsletter: Subscribe at [Yield Labs Substack](https://yieldlabs.substack.com/)
- Social Media: Follow on [Twitter](https://twitter.com/yieldlabs) and join the [Telegram community](https://www.youtube.com/@yieldlabs).
---
This episode provides a rich exploration of fintech, personal development, and the interplay of luck and preparation in achieving success within dynamic industries.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00If you speak with people in crypto, the future of money is on blockchain. Our guest today is Jakub. The renowned managing director at Kraken. One of the major influences at Lazada. A company acquired by Alibaba Group for$1 billion. Many people that get involved in crypto are thinking about it as an easy scheme to make money. Something that you believe in that most people would not agree with. Whenever you're getting into crypto, the first thing that you have in your mind is that... How do you develop judgment? That's a very serious question. It's not that easy to fail. It's just one simple answer.
0:35I don't think it's one solution that fits all. So how can I optimize my body and my mind? The approach that I think it's best is just to try different things and see how they stick. Another way to make better decisions is basically something that we call biohacking. That's actually a very common theme amongst entrepreneurs and people who work long hours under huge pressure. And I know you've been through this process. You're like me, a big fan of biohacking. So give us all your secrets. Welcome, everyone. This is Kevin from the Yield Lab podcast. Our guest today is Jakub, the very first employee at Lazada, a company acquired by Alibaba Group for$1 billion.
1:13You're also the man who brought Revolut, the$33 billion fintech unicorn to APAC, so Asia-Pacific. And now that we've covered the basics, on to today's episode. Jakub, why don't we start with some context about your background? What are the key turning points in your life that define who you are today? Well, Kevin, thank you very much for having me on the podcast. Really looking forward to our conversation. I think there's been a few turning points that when I look retrospectively, they were defining for what came next in my career. I think I definitely wouldn't be here if I wasn't writing my master thesis.
1:50You know, I was doing my master's in Spain and I was writing my master thesis about early stage startup financing. I learned about rocket internet, and this is how I ended up in Lazada. Basically, I moved from Europe to Asia, and what I thought was going to be just a few months, and a nice experience to have just after business school to build a company on the other side of the world, has actually become a career. So retrospectively looking at it, it was definitely one of the defining moments. I think the other one was joining Revolut in 2017. It was a perfect time to join a fintech company. at that point of time where fintechs were just starting.
2:27It was extremely lucky to join Revolut at that point as well, a company which is probably one of the highest valued fintech companies in the world right now. That was definitely a turning point just because I've experienced this hyper growth, as you've mentioned, of Revolut. But I also started really enjoying building companies in fintech. Fintech was a new industry for me at that point of time. And the next turning point is definitely Kraken. So just getting my crypto 101. one. I learned a little bit about crypto during my time at Revloot. I knew I wanted to stay in FinTech after Revloot. And the bet that I wanted to make is within FinTech, what would be the area that I would feel that would be growing the fastest, just like neobanking has been growing.
3:06It was a part of one of the biggest crypto companies out there and learned a lot about industries. So these were probably the key turning moments. And it's just very interesting to see how one experience is just coming from the previous one and how it all started from Lazada And basically the common theme is just like, I really enjoy building companies and being at the right place at the right time. So you started, I think, in Lazare in 2013, in Kraken in 2020, which is basically seven years later. Can you tell us how your mindset has evolved between when you started in this first company that was very successful and then when you started at your latest employer seven years later?
3:48So how is your mindset regarding building and scaling these tech companies? I think it's also interesting to look at, especially when what's happening currently when it comes to access of capital and venture funding and how the past decade has looked like. Lazara was basically my first employer. So what I could initially bring to the table when I joined Lazara was that I was probably one of the hardest working guys there. And I was pretty analytical. So I had very little experience in building companies and working in other places. So I was literally like an open book and I was absorbing everything as fast as I could and trying to add value wherever I could to basically be a solid part of it.
4:29So it has evolved quite a bit. The things that I had with me at Lazada have definitely stayed. But I definitely appreciate you get exposed to many different problems. your decision-making process and skills are actually becoming better with more data points that you see, with more decisions that you've made and more things that you've experienced. So I would say that my decision-making skills have evolved when it comes to making better decisions faster and just creating this environment where you're acknowledging that you might not be always the right person to know everything and that it's also good to get second thoughts from other people and also surround yourself with people that are complementing your skills.
5:08I think one of the things, you know, in the earlier in your careers, many people think that they actually know everything and they can solve all the issues. But later in your career, you'll really try, you'll really understand that you're very good at some things and there are some things that you're okay, but there are some people that are better than you. And I think what were really good decisions, and especially when it comes to, you know, general business building come from, is that you just need to put together a great team that complements your strengths and weaknesses in order to really create something that is great.
5:39So I think this is definitely something that I've learned along the way. Understanding exactly what I like doing, what I'm good at, understanding what other people are better than I am. And then when you put all these pieces together, I think this is a recipe that kind of increases the odds for success. Can you tell us a bit about the decision-making process in these startups? Like how decentralized is it? How much is it given to you or to the different employees, especially early on versus how much centralization there is? I think the beauty of working with earlier stage companies, and I think this is also something that when I first experienced it, I really liked it, is that you need to be good at operating in chaos.
6:21You need to understand how to make decisions fast based on the limited data that you actually have. So I think that was something that really drawn me into this, the early stage venture building, is that at a relatively young age, I had a scope of responsibilities that was pretty big and I had to figure it out. And I think this is something that you appreciate if you want to be doing more. When you join a bigger company, you're just going to be a part of a very well-oiled machine that already has processes that work and you're responsible for a certain small aspect of it. And in the early stages, there's no processes.
6:58So you need to figure that out and you're responsible for a little bit larger area. So I think this is something that I really like, that I really enjoyed. it, something that I don't think is for everyone, but it's definitely a sport that want to learn fast, that want to also enjoy the failures that they come through. And I think that really the most important point is to be able to look at failures as an additional data point and quickly adapt and adjust. So it's definitely a little bit more stressful compared to probably a normal career, but it can give you a lot of joy if you like this chaotic environment and an environment where you're actually given a lot of responsibilities.
7:35If you look at the last 10 years, what did you wish you had known and done differently when you were building Lazada back in 2013? I think the most important learning that I had, and again, like Lazada was 10 years ago, the world looked completely different than it looks right now. And it's also great to see how well the company is doing right now from their early times in 2013 and 2012. I think the most important thing that I've really learned is that it's something that I've seen myself, is that it takes different types of people to really help the company grow from zero to one and from one to one hundred.
8:15And then it is to optimize a company from one hundred, from one thousand to one thousand five. I think this is definitely something that I've seen myself and I've seen how, you know, the generalists that worked very well in earlier stage setups are probably not the great guys to their work and optimize very big companies and vice versa. Hiring people that are coming from corporate backgrounds, not in all cases, but in general, this is something that I've seen. that if someone is a professional that is specialized in their respective fields and they need to suddenly become a generalist that is handling all this uncertainty and chaos and earlier stages, it's sometimes it's not the best fit.
8:54So one of the key things that I've seen is especially in those earlier days, it just takes a little bit different breed of people to really help the company, people that are just okay with chaos, okay with uncertainty, that are jack of all trades and that can figure things out. And then you have, you know, while that once the company already reaches a certain point, you just need to optimize per hiring specialist. And I think this is a good framework to think that what got you here to a certain stage is not something that is going to get you further. That's a really interesting point, actually, because here is the more traditional view, and it's kind of more depending on geography.
9:31You know, with a point in the UK and the US, you would go to do a university in philosophy, and then you'll be able to work in an investment bank or in a startup. whereas depending, I don't know, in Switzerland or other places or probably in Asia, there is more of a correlation between what you studied and the expectation of the employer. So when you're building your teams, how do you think about that? Do you actually seek for people who don't have previous experience, for example, for Revolut in banking because you're trying to move fast, break things differently or do you actually look for people who have deep experience in the field?
10:05Or is it something that comes later on when the startup is more developed? Yeah, so I think it really depends on the stage where a particular company is at the moment. But, you know, the main question to ask is, you know, what are the problems that this person is going to help me solve? And obviously experience is just a part of the equation. I think the general problem solving ability is probably the key element that I would look like, I would look at when it comes to building a team. and whether what school they went to, what companies they worked at is just an additional data point for me to understand what kind of problems they could have solved in the past.
10:41So I think it would be wrong to say that I would just look at university degrees or previous employers just to quizzically assess right away if this is the right fit or not. It's just for me, it would be a data point that would then help me understand what kind of journey, what kind of environment the person has worked at, what kind of problems they face and they solve and how well they can potentially do in this new role. And I think all of these things kind of increase or decrease the risk that the person is a good fit. But it's very hard to say that some things are correlated one-to-one. For example, if you worked at an early stage company, that's right now you're going to be a fantastic fit just because we're in the earlier stage setup.
11:20I think it's much more nuanced and all of these things are just additional data points that allow you to really see if this is going to be the right fit for a particular position. What would you advise a 17 or 18 years old person who is wondering whether they should go to university in 2023, can learn all this stuff online, you can sign up to Upwork, you can sign up to Fiverr and start to work either for free, either for a few bucks for some companies. is what would you actually recommend people to do in today's world where we have this kind of academic inflation, you know, these papers that kind of too many people get to maximize their chances of getting a job, especially in a startup that's kind of more interesting and fast pacing?
12:04Yeah, so I would definitely not try to give one advice that fits all for any 17 or 18 year old. So, but one thing that I would definitely recommend is just to try many things and not to close any doors. I think it's important that, you know, for some people it might work not to go to uni and go straight and start working. But with age, these kind of doors are closing. If you don't start studying at a certain age, the odds are lower that you're going to be picking that up in the future. So there's always a good time for certain things. and obviously with, as you mentioned, academic inflation, it's not a prerequisite to really get certain jobs.
12:42But it's also a good question to ask at that point of time would be, how do I ensure that I do not close myself any doors? And maybe that for some things that I would like in the future, maybe a university degree will be actually helpful. So I think what a mental model for this would be much more about being able to try as many things as possible, seeing what you like, having a certain thesis for yourself about where you would like to go and how to reverse engineer that. And then yeah, and then basically seeing with time if this is a right or wrong thesis and adapt along the way. I think if I followed the thesis that I had when I was 17 and stuck to it, I would be an auditor at this point of time.
13:21But my thinking has changed quite frequently since then and my career has taken different tracks. So I think that adaptability and being able or being exposed to different jobs or different types of companies or different activities. And then really seeing if you're liking it or not is probably something what I would recommend just because it's so easy to pick up new things and new jobs right now. I think you're figuring out something that you like and something that you're good at. And I think when you have this company, it's something that increases the offer success. So you've been working very close to founders.
13:54You're also investing in an advisor. And we see these big headlines, these companies are unicorn, these companies are very successful, but people don't see what's happening internally. And pretty much often, if not most of the time, it's a big mess. What are the biggest risks that founders do not think about when starting a company? And one I could probably mention, because having built some companies myself, is the founding team issues, where you pretty much every time have a founder or more who basically end up leaving the ship sooner or later. What are the few things that you would tell as an advisor, a bunch of founders like, hey, you think that this might be what might kill your company, but actually be careful about these things that no one ever talks about because these are the ones that actually kill companies early on.
14:50well i think i think that kills companies the most from my observation is is is not making something people like or even better they something that people love i think focusing on on the particular solutions that you have in mind and building a product around it is something that is probably the biggest threat to the survival of the company and not really understanding what is the bigger problem that you're trying to solve with with this so i think that the key component here is whenever you're a founder and you're creating this or you're making this very big bet for yourself, making sure that you're actually, you have a vision for a particular problem that you want to solve and not just creating a bunch of products left and right, not really thinking about a broader vision or a bigger problem that you're solving.
15:32So I think starting from the product, and I think this is probably one of the key components because this is the fundament and the basis on which you're building the company. it's probably one of the most important decisions and most important calls that you need to make in order to make a good company and the second thing that i definitely want to stress out and we've kind of alluded to that is everything around hiring i think definitely finding the right co-founder is one of the the biggest decisions to make just as important it is to find these you know few first hires that literally can make or break your company i think nailing and understanding the importance of early stage hiring is I think not something that really people that people put as much attention as they should.
16:18I think when you look back at the very successful companies and the initial hires that they have, you can really see that a lot of the success came from these people and how good they were and how much extra they've added to the company. We see a lot of company X, Y, Z, X employees mafias where you see that the people have done very successfully in the companies that they were part of early stage teams. And then they've gone to do other ventures and start other companies. And you can see how successful they are in the second iteration of their careers or third iteration, and they become serial founders and entrepreneurs.
16:58For those people, do you think it's the part of being of this culture and learning very quickly that made them become very successful as founders afterwards? Or do you think that they were actually all amazing entrepreneurs initially? And so the best people were chosen without necessarily knowing that they were the best people. And that's why naturally they went on to build other companies. Yeah, I think it's, I don't think they were best entrepreneurs already. I think they were good. I think they had some traits that would make them successful entrepreneurs in the future. And they were just exposed to tough problems and exposed to a company that is growing at hyper growth, which eventually also helps you become a better founder in the future.
17:39You become a better operator initially that helps you become a better founder later on. And it was a combination of having the right traits, being able to learn quickly and adapt to new things, and then seeing yourself, what does it really take to build a successful company? And I think just a combination of this rapid learning and exposed to the learnings that come from being a part of a company that is split scaling show you that you actually can have a playbook to do it yourself. And just because it's not something that it's written in any books, it's an experience that it's extremely valuable.
18:12And because you've been a part of it, you've seen it firsthand. It also gives you a good fundament to do it yourself. So I think it was a combination of getting these very high quality data points, being exposed to these problems and these companies that grow so fast, and also being able to become a better operator and then later on a better founder. Have you ever been part of a company that failed as a builder or as an investor? And if yes, hopefully yes. What did not work out?
18:44So I have to say not yet. No, fortunately, not yet. And the way that I think about employment or angel investments, it's actually pretty similar. It's just with one kind of investing or trying to catch a particular way with money. And when you're looking at employment, you just do the same exercise just with your own time. So I haven't had yet any failure when it comes to picking the wrong course in a race, whether when it comes to investments or when it comes to my time as an employee. But who knows? Statistically, it will probably come. But I will try to minimize my risk and just by really evaluating these opportunities on both sides.
19:23I think evaluating investment opportunities, where sometimes it feels like the issue is very tempting to increase your risk as an investor, just because you have the asymmetry of returns. But I'm pretty cautious on the investment side. And same thing when it comes to being an employee, you know, doing your due diligence and really understanding, you know, the problem that the company is solving. How big is the market? How good is the team that has actually built this company? And really having that thinking kind of decreased my risk. and I have to say that, you know, especially when it comes to my first work experience with Lozano, it was pure luck.
19:58Yeah, okay. I wanted to ask, what's the mental framework there to evaluate? Because you don't have any internal information. You don't know. You can go check. You can maybe do some interviews or ask them some questions, go online, but at the end of the day, you don't know. You don't know. Yeah, you don't know. And I could be wrong. My mental model has change with time because I learned much more things about what to really pay attention to. And I didn't have this mental model early in my career. I just wanted to be a part of a company that is growing fast or is trying to build something bigger.
20:30I knew about the company that is incubating it. And at the same time, I could have picked a wrong industry by the same company where they incubated companies that were not as successful as Lazada. There were some companies that were incubated and they failed or they didn't took off as Lazada did. And at that part of time, I didn't have a good mental model. My mental model was I wanted to join an early stage company and it was fun to be in Asia. And that was basically the mental model that I had. With time, it got better. My next work springs at EasyShip. It was two of my friends that actually started the company.
21:05And I knew that they're one of them. I knew that it's pretty strong and I knew that I wanted to work with them again. And I understood just because of working in e-commerce what kind of problem they're solving or we're solving. So this also decreases your risk of a company failing if you know that the people behind it are strong and you understand the industry and you understand what the product is actually aiming to solve. With Revolut, it was actually funny because I was literally the targeted persona for Revolut. I really needed the product myself. I knew exactly about the business they were in just because I really needed their product as a person who had bank accounts all over the world who got hit with very high FX fees whenever you're using overseas cards.
21:46And I knew I had to have a solution in order to manage my finances just by being an expat and changing my location every year. So this is also something that, again, was an informed decision just because I knew what kind of product it is. And I knew that the industry is definitely set for some disruption, knowing how e-commerce has changed retail. And 2017, finance was, in some places in the world, financial services were not of very high quality. So if you have this combination of a big market with services that could be disrupted just by earlier companies doing things better and being more digitally savvy is also something that helped me make an informed decision that I wanted to be a part of this next way.
22:27And same with crypto. You know, within FinTech, I wanted to be a part of a subsection of FinTech that I would make a bet that would be growing the fastest. And I was just lucky to join Kraken in early 2020 when crypto really took off again and had this early bull run during the early COVID times. Was this calculated or did you understand back then about the Bitcoin halving and all these things? Or you were just thinking, I want to have a transition into crypto and it seems like a decent time to do that. Yeah, it's definitely not an academic research type of quality of information that you're dealing with.
23:04You know, you're making a calculated bet. You never know 100%. It's just you have your own thesis for certain areas, for certain industries, and you're making a bet. And there's always an element of risk to it. You just need to make sure that what is within your control, you can minimize this risk by either joining a company within this industry that you know it's going to be successful and having a pretty okay understanding about the industry. But did I know the technicalities and ins and outs about crypto before joining? Definitely not. It was just another bet that I wanted to make for myself that just turned out to be, luckily, turned out to be pretty okay.
23:40Yeah. And plus, you worked for one of the only few exchanges that is still out there and still existing. There's a lot of other great companies that you could have joined that ended up failing in the last year. Yeah. And that's the element of luck that you're joining. You know, you can, you're trying to make a decision based on imperfect information that it's there for you. And yeah, sometimes it's just a bet that you need to make based on initial interactions with the team, the information that is public. And I agree. I was very lucky to join the right horse in the right race when it comes to Kraken.
24:14And the same thing when it comes to Revolut. The earlier times of early New York banks in 2016 and 17, as you know, there are still quite a few. It's not only Revolut. There are others that we don't need to mention the names. They're also okay, but they're not as good as Revolut. and they're not as successful as Revolut. And just by just applying the same logic where you know that there's a sense of an industry you want it to be a part of, that they are solving your problems firsthand and you want it to be a part of building that solution. I could have picked the wrong course in the right ways.
24:46I knew that new banking is going to be big, but I could have joined a company that was not doing as good as Revolut. And that's pure luck. And that's also, yeah. What's your definition of luck? Because some people say luck is when preparation meets opportunity. So basically it's not really luck. Some people say, oh, sometimes it's just, you know, even building a huge company, like there is a few elements that are just purely reliant on pure luck because you can't control everything. So like what's, how do you talk about luck a lot? How do you see this? How do you see this luck thing? Yeah. I think that's much closer to your former destination where there's a lot of work you put in.
Read the full transcript
25:24You have a lot of good quality data points. you have a pretty okay judgment that kind of improves year on year or even more frequently. And that allows you to make bets that carry inherently risk. But just because you're able to look at it from the right perspective and minimize its risk, it allows you to be set up for success. So yeah, I was lucky. But then as you know, and almost as nice quote, as you've mentioned, You also need to help your luck a little bit and make sure that you understand as much as you can when you're an industry or a company, when you're making a decision. And then, yeah, minimize the odds of failing.
26:05So there's always a risk with every decision you make. There was always a risk with every decision that I've made when it comes to companies that I've joined. There was a pure randomness element to it. But there was also element of me being, you know, looking at your code that I was prepared and worked for meeting this luck thing.
26:27What are your key learnings from being in the driver's seat of three unicorns in the last 10 years? I think one of the, so as I've mentioned before, and I'll repeat myself, but I think it's, it's definitely the hard work that I need to put in place. And there's no big company that does not have blood, sweat, and tears behind it. People that are working extremely hard. So I think this is one thing. And this is also what brings luck, I think. And I think Charlie Munger had this quote that you need to deserve your luck. And I 100 % agree with this, that you just need to put in the work to ensure that you can look yourself in the mirror and say, like, whatever was under my control, I maximized it.
27:08So I don't have any regrets looking back. So that's one thing. The second thing is surrounded by people that are just as hardworking as you and that are, if possible, smarter than you in many cases complement your skills. I think this is also crucial. And the part of the companies that I see, either myself or the ones that I've invested in that are doing extremely well, is just because very early on, they've understood that they need to find the best people possible. And I think it's tempting to just sometimes to fill spaces in companies and just to focus on other problems. But hiring is also, in my opinion, one of the key problems they need to solve in the earlier stage companies.
27:46And the good framework that I've seen that I think makes sense is whenever you're making a hire, you should ask yourself if this is the best person possible to be in this position. If this is literally the best person on earth to be, you know, ahead of growth or ahead of operations or any other role. And I think then trying to reverse engineer, how can I find this person? How can I convince this person to really join and helped me build this company that I'm a part of. So I think this is the second learning that I've seen at the companies that I've been lucky, luckily a part of, that each of them had been hiring some very high caliber individuals and people that were extremely smart and hungry and that were always willing to learn, which very nicely brings me to the third point.
28:28And I think this ability to be always learning and to always try to understand and adapt to new reality. I think the speed at which things are changing right now, even kind of further the thesis that your experience is great and serves as the additional data points. But the playbook on the basis of which you're operating should be ever evolving. It's not something that, you know, I don't think it ever should be a case, but I think even more now than ever, that the way that we're doing things should be changing quite rapidly. and we should be iterating ourselves the way that we're doing work just because we're suddenly able to use tools that it was impossible to think even, you know, five or 10 years ago.
29:09And hence the way that you're working should be changing in order to be most efficient. So I think this ability to always learn, to always try new things and test new things and iterate your own playbook on whichever area that you're working in should be just something that should be seen as one of the key factors to be successful. You know, two years ago or even one year ago, we would not even think about how open AI could change things in chat GPT. Probably 30 years ago, people would not think about how Google would change the way that we're working. So the way that we were working in early 1990s and early 2000s and 2010s is definitely different than the way that we would structure things now, just because of the tools that we have.
29:50So it's really important to understand how you can leverage technology and the tools that are out there in order to be more sufficient. Have you ever thought of starting your own company? Yes, many times. And I hope that this is going to come into fruition one day. I always have this urge to build things. I was lucky to be part of very successful companies where I was able to build things. And the roles that I was in were always by nature very entrepreneurial, which I enjoyed a lot. But I hope that one day I'll be looking at this interview and thinking that this was a part of the journey. me to become an entrepreneur because this was this is part of the plan to be a founder one day as i also come from a family of entrepreneurs and the kind of it's i wouldn't say that it's in my blood but it's definitely you get exposed at a pretty young age what being an entrepreneur really is and by default you look at it as a as a way of living and the way of working so i hope that it's also going to be the default most for me hopefully soon awesome so you talked already Maybe about, I mean, I would like to talk a bit about kind of for people out there, how can they maximize their chances of mastering their career path?
31:04So you said 10 years ago, you wanted to be part of a startup and in Asia, it would be fun. So that's kind of like the reason why you joined Lazada. So probably a bit of luck there. But then you did it again. You joined Revolut pretty much when fintech was a new trend. So what made you realize that fintech was the next big trend? And then we can talk about directly what you've done after, which is Kraken. What made you realize that crypto would be the next big trend? And what are the similarities that we've seen? So people can kind of use these mental frameworks that you develop through time to make better decisions on what they should focus on next.
31:51to maximize their chances of having a successful career? Yeah, I think it all started with my initial experience with Lozada and how you can see how e-commerce can basically change how retail really works. So you basically take an industry that is big and you can apply all the new tools that are out there and technologies in order to make it better and how fast you can grow a particular company just because you're able to create the best product that is out there. So I think the same just because you're able to experience it firsthand. So everything, how e-commerce has impacted retail. And when I say it, it sounds very cliche, but it didn't look like that easy more than 10 or 15 years in Asia when it comes to e-commerce versus retail games.
32:33And right now, the same mental model you can actually apply to all other industries. When you see an industry that has been fragmented, an industry that is not leveraging technology to the extent that it can, and you see that it's big enough. you see that there's definitely a potential for some players to make things 10 times better and 10 times cheaper. And I think this was something that I've seen how you can make things way better with Lazada and retail. And I've seen that financial services is a big industry. And I was firsthand experiencing how terrible the experience is when it comes to managing a lot of things finances.
33:08So just because you have this data point that shows you how you can quickly adapt a new technology into an industry that is big and how successful you can become in a relatively short period of time has made me also think that it definitely, the round for disruption in financial services is just around the corner. And this was literally just because I knew how fast things could look like and could change in e-commerce. So this is the reason why experiencing these problems firsthand. I knew that I wanted to be in fintech. I knew I wanted to build companies in big industries that are yet to be disrupted.
33:40And fintech was the way came later compared to e-commerce. And crypto is a little bit of an extension of fintech because a lot of things that crypto promises has actually to do with fintech. So within fintech, the decision was if I had to, just like I picked an industry and I picked the right horse in this race with Revolut, I wanted to stay in fintech. But if I had to pick something within fintech, that was my personal bet that would grow the fastest. It was crypto. And I still believe that crypto has a lot of potential ways to really enhance how we're dealing with everything financial services from under the hood.
34:15And I think we're seeing that more and more with the recent events that are happening around the world. So, yes, I remember being in crypto in 2019 was, even if you say it's not that early, it was actually still pretty early because, I mean, especially 2018, 19, you have this bear market. Everything goes down 90, 95, 99%. People say it's a scam. Ethereum was basically nothing. There was pretty much nothing built on it or pretty much nothing proven built on it. So why crypto back then? Because probably if you started early 2020, it means in 2019, you made your decision that, hey, the next thing for me is crypto.
34:56What attracted you there? And how did you even come across that and decided to take the leap and work full-time in crypto? The very first time when I actually got exposed to crypto was in 2017. And that was a time when Revolut launched crypto in Europe. So it was a feature that allowed you to basically very easily buy and sell crypto. And that was the time when Bitcoin and other cryptos had its first kind of very serious bull run. And I think at that point of time, Coin in 2017, it went up to, I think,$17 ,000 or$19 ,000. $20 ,000. Yeah. So it was that ceiling that it got and there was 2017. And this is what got me exposed into crypto and what I really started to understand a little bit more about different cryptocurrencies and a little bit about different industry.
35:48And it was just a massive wave that suddenly within just a few months, everyone was talking about crypto. And as you rightly pointed out, then it kind of came down and things got back to normal levels or the bear market has started after this 20K has hit. but it was again a bet. It was something that when you, during this few years, when you understood again what Bitcoin is, understood and read more things and spoke with people about what kind of role Ethereum could play in the ecosystem. You're thinking, well, I'm seeing how financial services are working right now. I'm seeing this infrastructure that is out there that had an early adoption cycle when it came up and then it came crashing.
36:27And you know, just because it's a nascent industry that the odds are pretty high that it would come back and it would actually serve a purpose. and solve a particular problem in financial services. So that was a leap that I made just because analyzing and understanding how the financial infrastructure works, how we've seen the infrastructure that Visa, MasterCard has built, that Swift Network has built, and all the legacy institutions, and trying to connect the dots by understanding a little bit how this whole crypto thing works and how it could improve these things that we're currently having versus understanding the current business models that were out there in financial services.
37:00So obviously, it would be very tough to say that I had 100 % conviction that this is going to be the next big thing. But again, you need to make a bet that it's just well-informed and you're thinking that this could be potentially it. And this was the reason why I wanted to be involved and I wanted to build in crypto. So what's the next big trend you identify and you want to dedicate the next few years of your life? One thing that is interesting is caching these trends early, but also, I mean, I still think crypto is very early. There's still not that much that's actually useful out there that's been built.
37:36Yeah, I'm still a very big fan of crypto. And especially that we're seeing very clearly there are some particular use cases that crypto can sell in financial services that haven't been yet sold in financial services. I think what Bitcoin stands for, especially in the times of inflation or hyperinflation in some countries, it's already a pretty solid use case on how crypto is definitely here to stay. You know, when I say I'm bullish on crypto, I'm also bullish on how money movement is going to be working and how payments are going to be working in the foreseeable future. Right now, whenever you make a payment, there's a few middlemen that are taking a cut from this transaction.
38:14Many times you're a seller or any merchant and you're accepting payments online or even offline, it's still, you don't receive the money right away. And they say it takes your time and the company that you're working with takes a significant cut of the payment. So until we're reaching a moment where all the money movement is as fast and as cheap or free, just like sending a message, we're definitely not there yet. And I think, so this is one thesis that I have. And we know that is basically supporting your statement that we're still early. We're still early when it comes to this change coming into financial markets and financial services.
38:50And I think that's the second thing that we're going to be more and more aware is the issue with trusting your money with the middleman. I think especially what we've seen in the past few months is going to be perpetrating the thought of being in control of your own wealth and your own assets. So I think all the financial services that we're seeing that are going to be replicated with crypto, just starting from a notion that you're holding your own wallet and your own coins in your own wallet. And basically all the services that you're interacting with are self-custodial. So you don't have to put all your wealth or any of the cryptocurrency that you're holding with a trusted middleman.
39:30If you have an assumption that you trust no one and you want to be in charge of your own wallet and with your own wealth. So I think this is also going to be something that we're going to be seeing more and more just because the distrust in the regular financial markets industry is actually is going up and people are looking at alternatives. How are you seeing that thing yourself with your own investments? Especially today, it's very relevant. You don't even know if you can keep your cash at the bank. What's going to happen with it? Yeah. So I think where we say that we're still early, I think we're also still early when it comes to building the infrastructure that is going to be supporting that shift.
40:09So I'm definitely bullish on companies that are trying to build the new rails of how the money is going to be flowing, assuming that we replace all fiat with crypto. And I don't think it's a scenario that it's highly unlikely that what we're seeing right now with fiat is going to be replaced by some sort of crypto assets, whether it's going to be CBDCs or it's going to be Bitcoin or it's going to be some other. I think we can say that with some pretty high probability that this is where the future is going. Whether it's going to be 5 years, 10 years, or 15 years, I think no one can really say.
40:43But if we assume that this is right, there's a ton of infrastructure that needs to be built in order to replicate what we're already having. And what we're already seeing with financial infrastructure, just doing that with cryptocurrencies, plus solving new problems that this will bring. So I think when it comes to what I'm bullish on, I'm definitely bullish on the crypto infrastructure companies that are building their new rails. And I'm definitely bullish on the tools that are going to help people building in this area. Just like we've seen, just because of the new dominant players coming into industries such as e-commerce, this has led more and more companies succeeding in building infrastructure in those industries, as well as tools within those industries and helping people build and automate their work.
41:27So I think we've seen that with e-commerce, we've seen that with fintech, and we're going to see that more and more with companies that are going to be doing the same thing with crypto. So we talked about making decisions, whether you are leading a company or whether you're investing, especially when you're investing early, you're making these decisions and you don't have data points or very few. So one of the most important things for that is to develop your own judgment. How do you develop judgment? I think, well, that's a very serious question and I'm sure it's not that easy to frame it as just one simple answer.
42:14But what helps you do it is, first of all, just being hyper logical and hyper analytical and really understanding what reality is. And just by assessing that and assessing all possible solutions, you're able to deduct really what could be the best next decision to make. And then allowing that to basically see the results and iterate really quickly. I think the decision-making process of humans is not that different when you compare it to a machine learning algorithm. And in this case, you know, I think the key components are the quality of data that you have in order to make decisions just like for a machine learning algorithm, the quality of data is important.
42:52And then iterating constantly on the judgment, making the quality of it higher and higher with each single iteration. So I think for humans, it's the same, just being able to iterate really quickly and having the data points that are actually allowing you to make this decision on, and then using logic based on these data points, really analyzing and making this bet on what do you think is the most probable best decision in this case. and then being very agile in understanding if whenever you get more data points, if this decision was really that good or if there's some more data points that you got just because you've made this decision that allow you to make a change and then be open to making changes constantly.
43:32I think what's important is to iterate with more good quality data that you have and with all this process, your judgment is also going to get better and better. And so this is how I think about it and how I would approach becoming better of making good decisions. Another way that we both love to make better decisions is basically how do you optimize yourself for decision making with something that we call biohacking? So that's actually a very common theme amongst entrepreneurs and people who work long hours under huge pressure. And this theme is basically personal development. So how can I optimize my body and my mind and become the best version of myself to not only strive under pressure, but also make the best decisions?
44:20And I know you've been through this process. You're like me, a big fan of biohacking. So give us all your secrets. Yeah. Well, I think the beauty of this is that I don't think it's one solution that fits all. And again, like the approach that I think it's best here is just to try different things and see how they stick and how they can actually improve the way that you're functioning. I have tested a lot of things for myself. I knew that there are certain tactics that I can use, but ultimately I think the best approach is just to look and test at each single one of them and to see how they basically impact your body and your thinking and your general wellbeing.
44:59So I've developed this due to a pretty big need to be able to operate at my highest for 24-7 in a pretty stressful environment. So I had to figure out a way on how I can always be full of energy, how I can always be very clear in how I'm making decisions. And this is what basically brought me to test a lot of things around my sleep, to test a lot of things around the type of exercise that I was doing. doing, it also helped me force myself to test a lot of things related to my diet. And when you have a combination of these things and you see what works, what doesn't, this is how you kind of end up to a point where you're more and more efficient.
45:41So this is exactly how I thought about it. I just tried to test it a ton of things and see how it worked for me. What are a few things that you tried? Let's say the three categories. So diet, sleep, and exercises. What are a few things you tried that didn't work at all? and a few things you tried that really worked well that you'd recommend for people to say, oh, listen, like you can try all this stuff, but these kinds of things are more likely to work. Yeah, so from the things that didn't work for me, I think they could work for some people for some time or some people for a longer time. The things that didn't really work well for me are on the sleep side.
46:18I thought just checking on looking more on the number of hours that I sleep and not be looking at the quality of sleep was something that I got as a first learning. I would think, for example, that if I worked very late until let's say 1 a.m. or 2 a.m., if I then get my eight hours of sleep, I would actually feel great. And what I've learned is that there's a certain cut of time for me that I can get these six, seven, eight hours of sleep, but it has to start from 10 p.m. And everything that is beyond that, it's actually not working very well for me. So I would operate way better if I go to sleep way earlier rather than just try to push it and still get the same amount of hours in.
47:02So the hours of sleep would not be necessarily the best KPI when it comes to really driving the best outcome from sleep. So this is what I've learned myself, that it's less about the hours, but more about making sure that you're going to sleep at the same time and that this time is probably a little bit earlier rather than later. I have other things with sleep, but I think this is probably one of the key learnings that didn't really work well for me. So learning there is going to sleep at the same time of the day and figuring out which time is best. And for me, it's probably around 10 p.m. So that's the first one.
47:36When it comes to diet, I've tried keto. Keto helps to learn a little bit more about your body. But it's not something that I think for me, it was sustainable in the long term. What keto also taught me is that how my body reacts to carbs, how my body reacts to insulin. And it definitely helped me to understand these things a little bit more. But as a solution, I would not think that this is something that would be sustainable for me in the long run. And this is also something that kind of goes in the other direction, the things that I've learned that work, is that with keto, I also learned at the same time certain foods that I'm allergic to that are kind of basics of keto diet.
48:14Keto helped me understand that I'm allergic to certain fruits and it actually impacted me positively. But the fact that if I was only looking at keto as a mean to solve my problem just by sticking with it, it wouldn't really help me achieve my or being the best version of myself. So this is probably the best way when it comes to optimizing my diet. When it comes to exercise, I also thought initially that I didn't think that, or I thought at some point of time that this is the best way to exercise is to really double down on HIIT. So my hypothesis at that point of time would be that I really want to, I don't have much time.
48:53I need to squeeze in as much exercise as possible with a very short period of time. And that if I want to keep in shape and lose fat or keep my fat percentage in control, HIIT would be beneficial. tool. So I would do, for example, sessions of very high intensity sports like Muay Thai or HIT running very frequently during the week. And the problem that this has caused is that these exercises are very strenuous on the body and they also impact the levels of your cortisol. So you're kind of combining a very high stress environment, very intense work together with very high stress exercising. And this is something that, you know, theoretically, when you look at it at face value, it makes sense to solve the problems that I thought it would solve.
49:35But then when you put it in a larger picture, you test it out and see that your body is actually reacting. You feel more fatigue than you felt before, that it's actually something that you should adjust and do differently. So HIIT is great for some times in some situations, but as a hack to basically be as a default way of exercising, especially if you're already working in pretty high intensity environments at work, putting that much stress onto your body is not something that I found very useful. Yeah. So the high intensity interval training is a very interesting one because I do quite a lot of gym.
50:08And at some point, two, three years ago, I was thinking, I'm just going to do one month break of gym or less. And I'm going to try this high intensity interval training. But like, you know, I think probably four or five times a week. And after one or two weeks, I realized I was staying in bed all day and I was like down and I was like, what's going on? like I'm not sick. I seem like I'm kind of depressed. And then I kind of read online that there is this thing called, you can basically burn out from high intensity interval because it's so strong on your body that if you just go too much, it's bad for you.
50:41So absolutely the combination of like the high stress already plus the stressing on your muscle and body makes a lot of sense in terms of that. Yeah, we need to be careful about that. I've learned that the hard way. Yeah, I've learned that the hard way that I've seen, I've tested it out and I've seen the results and I thought that, well, well, maybe I can do something different and something better. And this is how I got from keto. I stopped doing keto, but what I got from keto is how to really pick my carbs, right, if I have to go with, if I have to eat them. Second of all, what stayed with me is intermittent fasting.
51:11So I did say keto plus intermittent fasting. Intermittent fasting still stayed with me at that point of time. And when it comes to exercising, I think HIIT is good just for sometimes and not very often. and as basically one of the elements of a holistic exercise regime and not something that it's go-to for every day or every second day as the main exercise. But just having that variety of different muscle groups and different types of exercises, it feels like in combining low-intensity training with high-intensity training, it felt something that works best for me. You told me also that you quit alcohol.
51:50Yeah. So that's an interesting one because people thinking about successful people think that successful people have an amazing life, party, go out. When you actually look at the life of successful people, kind of boring. They don't do much of those things that I'd say kind of normal people do or they do it much less because they understand that this will impact their performance and their sleep and all that stuff. So can you tell us more about the alcohol part, which is a common theme across people who are very successful that I talk to? They barely touch alcohol, actually. Yeah. So I wouldn't say that I quit it 100%, but I would say like when it comes to drinking it, I would really limit it to like very certain occasions.
52:41That is just a social thing for me. And I would do it maybe, I don't know, once every half a year. So very, very rarely. And the reason for this is that alcohol is a drug. It's just a drug that it's legal and you can use it. It's harmful to your body, just like any other drug. It gives you a certain feeling that you can feel good after, just like any other drug. So, you know, it's actually a question. If you look at, for example, policies around drugs and you're thinking, okay, why is this drug that is called alcohol legal and why other drugs are not legal? And I'm anti-drug in general. But if you start understanding what it really is, that it's actually a legal drug, you ask yourself a question, if I want to be a best version of myself, is it okay?
53:24Is it actually bringing me closer to that or making me being further away? And just by the fact, also with age, you see the effects of alcohol coming up to you much closer. For example, after a few glasses of wine, you would next day, you wouldn't feel really hangover, but you would feel like it has an impact. It slows you down. And at this point of time, you're thinking that the benefits that it brings, it's not actually that high compared to the cost that it has on the body. And what actually triggers this change even faster is that when you actually give yourself this few weeks without alcohol and you start noticing that your skin is brighter, that you start losing weight, that you feel better, that you have more energy.
54:03And these are the data points that you get from not drinking alcohol. It actually shows you that maybe it's actually better for your body to really limit it almost to zero. So this is again, this is the process that I had. I didn't really feel great after drinking even small amounts of alcohol. I tested it out and see how it would work like without alcohol and actually I feel way better. So I tried to limit as much as I can and only in very certain circumstances that are, you know, some festive periods of weddings, et cetera, that I can have a toast for other people as a more of a cultural thing, rather than a thing that would actually solve my problem when it comes to social interactions or de-stressing how some people look at alcohol.
54:48I think there are other better ways to solve each one of these things than alcohol. It's just very much embedded in our own operating system, that this is just a way of dealing with celebrating successes, dealing with stress, or many other ways that people would think about going out and drinking. And when you start questioning these things on like the habits that you have and the mental models that were pre-programmed or were programmed throughout your whole life, it's good to retrospect and look at it and ask yourself if it really makes sense and test out the scenario where you're basically putting that away.
55:19So this is exactly what I've done. I've tested it out. It works better without. So I try to limit my consumption almost to zero. The problem is it's a very social thing. So you have a bunch of friends. Hey, let's go out. let's have some drinks or even in the business field you know you meet with other people you do business by having these lunches or dinners and drink so maybe in business you can say oh listen i'm not drinking i'm drinking only on the weekend and actually that might you know help other people also say no because they don't want to drink yeah and they say oh someone's not drinking i'm not drinking either but what do you do with people or friends who tell you that you're boring you know plain boring do you have such friends did you change your friend circle because that's a big thing if you're in your say mid-20s late 20s early 30s there's still a lot of people who are not on that same page and who might just say yakub is boring well you just have to be a person that is not boring without alcohol and if you're still a funny guy without alcohol and you can still are a social person and i'm i find myself as an extrovert so i actually like being around people and I don't need alcohol to have a good time.
56:31So yeah, maybe it's a little bit problem, bigger problem for people that are introverted, but I'm sure that there's other ways to solve it. And it's actually, interestingly, I think it can create even stronger bonds because when you're the guy saying, no, I actually don't drink. And then you explain the logic. You actually find that in circles that I'm around, there are many people that are actually the same and that creates being anti-this, that creates already a separate camp that you're getting closer to other people and that just have been you know going through the same thought process and they're happy that they can see someone that is actually testing things out and not thinking things for granted and they're all trying to optimize themselves so I think this can create even stronger bonds with people that are similar to you so I think that's a good thing and with people that you know still okay with drinking alcohol I think it just it's one of the thing it's just a solution that works for some people it works very well for me but it might not work well for other people.
57:23Other people can drink alcohol and can be super high functioning and have no impact on their metabolism, on their health, et cetera. So it's just the thing that works for me. And I always explain to people when they ask a question that I just feel way better and I try to optimize my health and that I don't have problems with alcohol. It's just, I want to be functioning on the highest possible level. So whenever you explain the reasoning for this, I think the people that I've met, everyone kind of understands. And you will be surprised how many people actually go through the same kind of thinking.
57:51And that creates even a stronger bond when you're kind of both approaching this problem in a similar way and trying new things and figuring out how you can be functioning at a highest level. And yeah, that can be even a better bond than compared to alcohol. What is the best advice you've ever been given? I think in general, I don't really like when people give like boilerplate advices. I think there are very few of them that really work in all the scenarios or all circumstances. So I think the best advice is to actually always think for yourself and use logic when it comes to making decisions.
58:29And treat this as one of the best data points, just because people are very easy to give cheap advice to people. And people's circumstances, their data points and experiences are different. And just because something has worked for this person in this particular circumstances at a particular time doesn't mean that it will work for you. So I think a good advice to give is just to, of course, seek feedback from other people, but ultimately try to make sense out of all these things and make the best decision possible. Just because there's plenty of cheap advice out there. There's plenty of really bad advice out there.
59:01And there's very few of them that are actually universal, that works in majority of circumstances. And I think one of them is always trying to be logical and try to understand reality. And just by understanding it, making sure that you apply the best judgment possible and iterate over time is probably one of the best mental models you can get and not looking for boilerplate advice from other people. What's something that you believe in that most people would not agree with? I think still that the future of money is on blockchain. I think it's still something that it's, if you speak with people in crypto, we all kind of share the same belief that this is where the future is going.
59:45Many people that get involved in crypto are thinking about it as an easy scheme to make money. Where, you know, whenever you're getting into crypto, your first kind of, the first thing that you have in your mind is that not this is going to change the way that finance works. It's just maybe this is a good scheme for me to make money for an investment. So the investment part is probably much more important for people that are really understanding the underlying technology and how it can change the way that we're perceiving money. So I think, yeah, quoting the classic, the future is on-chain. And I think this is something that there are people within crypto that share the same belief.
1:00:21When it comes to looking at the global population, quoting another classic, we're still early. So really understanding that the future is on-chain and definitely the future of money is on-chain. if there was a summary or key takeaway that people should remember from today what would it be yeah that it's always good to to deserve your luck i think that's that's the one one thing that we've we've talked about and that the importance of luck and and the importance of of trying to always make the best decisions possible and iterating over time i think whether it comes to, you know, where you spend your time, where you work, where you invest your money.
1:00:59I think having that ability to be constantly learning and working hard and then being more exposed to luck, I think this is something that happened to me. And I'm sure that this is something that could be a takeaway from our conversation. Thank you so much for your time, Jakub. Where can the audience find you and connect with you? I think the best way is on LinkedIn. so feel free to find me on LinkedIn connect with me and DM me and I'll be very happy to revert and get back to people that do Awesome Thank you everyone for listening and watching please smash the like button and give us your feedback in the comments highlight will be posted on YouTube Twitter, Substack, LinkedIn and Instagram and I'll see you all in the next episode
1:01:50you
From the publisher
Jakub is the "common success denominator" behind the 33Bn Revolut Fintech Unicorn, the 12Bn Crypto Exchange Kraken and the 1Bn E-com giant Lazada. He is not only one of the top influencers in the Fintech space, but also one of the best operators in the startup scene in Europe and Asia.
In this exciting episode, Jakub shares his journey from launching Lazada's Singapore business to heading growth at Revolut APAC to more recently leading Kraken in Asia as Managing Director.
We discuss the future of money, the role of blockchain for the next decade, the importance of continuous learning, as well as how luck happens when preparation meets opportunity. We also discuss biohacking techniques to optimize decision making when operating under huge pressure and stress.
Key Topics
Key turning points
Decision making process
How to hire in an early stage company
Advice for 17 to 18 years old student
Advice for founders
Luck is when preparation meets opportunity
Key learnings
Why crypto?
Next big trend ?
Biohacking to optimize decisions making
Quitting alcohol for a better productivity
FOLLOW JAKUB
https://de.linkedin.com/in/zakrzewskijakub
__________________________________
Subscribe to the Yield Labs Podcast to deep dive into Web3, DeFi, NFTs, audience and business building, bio-hacking, and much much more.
- Download our podcast on Spotify or Apple Podcasts
- Subscribe to Youtube to watch all our episodes and exclusive content
- Subscribe to our newsletter to get next episodes straight to your inbox
- Follow us on Twitter for unique content and giveaways
- Join our Telegram community to connect with our members




