Or Lenchner: [00:00:00] The idea is that if public data is public, it should be public. So you need to digest that. So even if you want to go to public Data sorts, that has limitations, it's not really public. It has limitation. Think about it. Data is almost everything today. Every company, organization, research, academic institution, everyone are getting data based decisions. Why on earth would someone agree to have public Data block? Harpreet: [00:00:38] What's up, everybody, welcome to the Artists of Data Science podcast. The only self development podcast for data scientists. You're going to learn from and be inspired by the people ideas and conversations that'll encourage creativity and innovation in yourself so that you can do the same for others. I also hosted open office hours. You can register to attend by going to bitterly dot com forward slash a d. S o h. I look forward to seeing you all there. Let's ride this beat out into another awesome episode. And don't forget to subscribe to the show and leave a five star review. Our guest today is a tech savvy entrepreneur and Harpreet: [00:01:31] Technologist who believe that Data Harpreet: [00:01:33] Should be Harpreet: [00:01:34] Like water, always transparent Harpreet: [00:01:36] And available Harpreet: [00:01:37] To all. He's an official Harpreet: [00:01:38] Member of the Forbes Technology Harpreet: [00:01:40] Council and a prolific Harpreet: [00:01:41] Writer on all things related to Data and emerging technologies. He's passionately focused on Harpreet: [00:01:46] Online Data multiple uses Harpreet: [00:01:48] Of Data Harpreet: [00:01:49] To address business challenges, as well as ethical Harpreet: [00:01:52] Data collection and ad Harpreet: [00:01:53] Verification. He's the CEO of Brait Data, a leading Harpreet: [00:01:57] Publicly available Web Data platform Harpreet: [00:01:59] That [00:02:00] enables organizations Harpreet: [00:02:01] Of all sizes to access data on Harpreet: [00:02:03] The Internet with complete Harpreet: [00:02:05] Transparency. Since becoming the CEO, he's been continually working on expanding Harpreet: [00:02:10] The company's market base, Harpreet: [00:02:12] Maintaining the openness, transparency and integrity of Harpreet: [00:02:16] The online ecosystem. Harpreet: [00:02:17] Today, he's here to share some revealing Harpreet: [00:02:19] Details on how you Harpreet: [00:02:21] Can make Harpreet: [00:02:21] The most of publicly Harpreet: [00:02:23] Available Harpreet: [00:02:23] Data on the Web for your Harpreet: [00:02:25] Project. Companies and businesses. Harpreet: [00:02:27] So please help me in welcoming our guest today, a man Harpreet: [00:02:30] Who is leading the mission to Harpreet: [00:02:32] Shine a bright light on the Internet or Lechter or thank you very much Harpreet: [00:02:37] For joining us today, man. Super excited to Harpreet: [00:02:38] Have you here. Wow. Or Lenchner: [00:02:40] I'm super excited. Also, thanks for an introduction. And you actually nailed my Harpreet: [00:02:44] Name exactly Or Lenchner: [00:02:45] Like I Harpreet: [00:02:45] Should say it all, engineer. Or Lenchner: [00:02:47] And it's it's not easy. And the first time Harpreet: [00:02:50] That I've been I've been practicing. I've been practicing. Interestingly enough, for your first name or means Harpreet: [00:02:55] This is bright or is it light Or Lenchner: [00:02:57] But light? It means light in Hebrew. Yeah, it's not that bad. We're talking about bright Data. Harpreet: [00:03:05] A soul stare, right? Yeah, exactly. Harpreet: [00:03:07] Exactly. Harpreet: [00:03:08] So some of the things that I do, some Harpreet: [00:03:10] Research on you and and I came across this article, and Harpreet: [00:03:13] I think that, you know, if we start off with Harpreet: [00:03:14] That, I think my Harpreet: [00:03:15] Audience will really Harpreet: [00:03:16] Be able to relate to this, because a lot of us can relate Harpreet: [00:03:19] To going through Harpreet: [00:03:20] Struggles on our journey, but not necessarily having it Harpreet: [00:03:23] Reflected on like our LinkedIn profile. Right. Harpreet: [00:03:26] Just everything looks like a clean linear line. Harpreet: [00:03:28] We just start from point Harpreet: [00:03:29] A to point Harpreet: [00:03:30] B just straight forwardly. Right. And it would be boring. Yeah, it Harpreet: [00:03:33] Would be very, very boring. But you've had an interesting journey Harpreet: [00:03:36] And your path to becoming Harpreet: [00:03:37] The yoat brai Data. So talk to us about some of the ways you had to serve on the Harpreet: [00:03:42] Ride to here. Nice. Or Lenchner: [00:03:44] I like that analogy to a surfer, and that's what I like to do when I'm not surfing the Web. Harpreet: [00:03:49] So sure, I started by building my own small companies Or Lenchner: [00:03:54] And small products, and I'm a product guy. Harpreet: [00:03:56] That's essentially what I like to do. Or Lenchner: [00:03:58] That's what I always want to do more. [00:04:00] But I don't have enough time. And this is how I started building my own products. It sometimes was a physical product for myself Harpreet: [00:04:07] Because I just wanted something that Or Lenchner: [00:04:09] Didn't exist and sometimes was a digital Harpreet: [00:04:12] Product, like a website that I guess for myself, because I wanted to have something that didn't exist. This is how I kind of started my career. Or Lenchner: [00:04:19] So Didley started building stuff. Some of them succeeded. Some of Harpreet: [00:04:23] Them failed. But it was Or Lenchner: [00:04:25] Always the same thing. Harpreet: [00:04:26] It was a passion to create something that I really needed for myself. They never actually checked it. Or Lenchner: [00:04:34] Anyone else did that and just go and build it. And sometimes a ton of other people also used it, which was a success. Harpreet: [00:04:43] For example, Or Lenchner: [00:04:43] The first website they established locally here in Israel, Harpreet: [00:04:47] We're finding partners for anything you need. So I looked Or Lenchner: [00:04:51] At a time partner for doing sports Harpreet: [00:04:53] Together in the evening, and I just none of my Or Lenchner: [00:04:55] Friends want to Harpreet: [00:04:56] Do. So I built a Or Lenchner: [00:04:57] Website and soon enough Harpreet: [00:04:58] It was the largest Web Or Lenchner: [00:05:00] Site in Israel for Harpreet: [00:05:01] Finding business partners. Or Lenchner: [00:05:03] And that was a pain section for what we thought. Harpreet: [00:05:05] But just the idea is just Or Lenchner: [00:05:07] To start and push forward. And this Harpreet: [00:05:09] Is also how eventually I became I got to Or Lenchner: [00:05:12] Do what I'm doing today. And I really enjoy what I'm doing today. Harpreet: [00:05:16] For over three Or Lenchner: [00:05:17] Years, being the CEO of Harpreet: [00:05:19] Brai Data, I Or Lenchner: [00:05:21] Started here also as a product manager Harpreet: [00:05:23] Doing what I like to do the most well, six years ago, and it went well and over three years Or Lenchner: [00:05:28] Ago, I Harpreet: [00:05:29] Became the CEO. I like that that entrepreneurial spirit where it's like, Harpreet: [00:05:34] Okay, you need Harpreet: [00:05:34] Something that's useful Harpreet: [00:05:36] To you. So you go build it Harpreet: [00:05:37] And you make it useful for Harpreet: [00:05:39] Yourself. And then all of a sudden, you know, Harpreet: [00:05:40] People everywhere in the world want this Harpreet: [00:05:43] Product. Harpreet: [00:05:43] I think that's one of the. Ah, no. Or Lenchner: [00:05:45] Or maybe sometimes you're the only person and the globe needs that. But that's also Harpreet: [00:05:49] Fun. Yeah. And I mean, let's Harpreet: [00:05:51] Let's get into some of this, because I remember hearing Harpreet: [00:05:53] About a pretty cool product you've developed. Harpreet: [00:05:55] But before we get into that, you know, we talk a little bit about waves. I alluded to being [00:06:00] a Harpreet: [00:06:00] Surfer, but I'm wondering, man like you, what's the importance that surfing has had in your life? Harpreet: [00:06:06] And what has surfing taught you about being a successful entrepreneur? Harpreet: [00:06:10] You were an executive, huh? Interesting. Actually, a lot. I mean, I'm Or Lenchner: [00:06:15] Not sure if anyone everyone got Harpreet: [00:06:17] A hobby. I'm not sure if Or Lenchner: [00:06:18] It always correlate with the personality and like the daily job or what Harpreet: [00:06:24] You're doing. I think that. Or Lenchner: [00:06:26] This for me, Harpreet: [00:06:26] Really do correlate Or Lenchner: [00:06:28] In very, very Harpreet: [00:06:29] Similar. I might be a bit philosophical here, but Or Lenchner: [00:06:33] This is how I see it. So it's very similar. Harpreet: [00:06:36] So being the any Or Lenchner: [00:06:38] Company, it's very Harpreet: [00:06:40] Lonely position to be just in one at a company. Or Lenchner: [00:06:44] So you need to Harpreet: [00:06:45] Usually you're the only Or Lenchner: [00:06:46] One who's doing that specific thing Harpreet: [00:06:48] Of being responsible Or Lenchner: [00:06:50] For everything that is happening to the company, which is pretty similar to the waves surfing spawn, Harpreet: [00:06:55] Which I've been practicing Or Lenchner: [00:06:56] For over 20 years. You're alone out there. Maybe you have a Harpreet: [00:07:00] Few friends that goes down there and the line up Or Lenchner: [00:07:02] Getting waves together. But it's an individual sport. And unlike other Harpreet: [00:07:07] Individual sports, Or Lenchner: [00:07:09] Like swimming in a Harpreet: [00:07:10] Pool or running Or Lenchner: [00:07:12] On a running track, this is one of the Harpreet: [00:07:15] Only individual Or Lenchner: [00:07:16] Sports that you're doing Harpreet: [00:07:18] On constantly Or Lenchner: [00:07:19] Shifting water, literally waters. But that's also true for any business. Right. So the loneliness or one Harpreet: [00:07:27] Side, knowing that, Or Lenchner: [00:07:30] Knowing that everything is unexpected from the other side. Pretty much true for every Harpreet: [00:07:35] Ceo and every executive Or Lenchner: [00:07:37] On Harpreet: [00:07:38] Its own level. And that's Or Lenchner: [00:07:39] Something that is very Harpreet: [00:07:40] Similar to surfing. I think also Or Lenchner: [00:07:43] The hype and that feeling that there's a quote Harpreet: [00:07:48] Saying, I've only a Or Lenchner: [00:07:49] Surfer Harpreet: [00:07:50] Knows the feeling, which Or Lenchner: [00:07:51] I vouch for. That's true. That's also works to me as a CEO Harpreet: [00:07:57] When I succeed in doing Or Lenchner: [00:07:59] Doing [00:08:00] something. So I find it actually very similar. Harpreet: [00:08:03] And also, you know, the ocean Or Lenchner: [00:08:05] For me Harpreet: [00:08:05] Is my therapy. Or Lenchner: [00:08:06] So it's also a balancing Harpreet: [00:08:08] Act that I can do almost once, twice a week, Or Lenchner: [00:08:11] Which is extremely important. Harpreet: [00:08:13] And for those of you that Harpreet: [00:08:14] Don't know or is joining Harpreet: [00:08:16] Us here from from Israel and me being educated in American public school systems, I have zero Harpreet: [00:08:20] Sense of geography whatsoever. So I was not aware that Israel actually has Harpreet: [00:08:25] Beaches and oceans there or Harpreet: [00:08:27] The sea at least that you can go through. Harpreet: [00:08:29] Yeah. Harpreet: [00:08:30] Yeah. So do we have a it's a Or Lenchner: [00:08:32] Small country, Harpreet: [00:08:33] But on the Or Lenchner: [00:08:34] Western Harpreet: [00:08:35] Border is sea, not ocean. The Mediterranean Sea, which I have to Or Lenchner: [00:08:39] Say is underestimated for its surfing conditions and seen. So there is a massive surfing stand here in Harpreet: [00:08:47] Israel and not bad Or Lenchner: [00:08:49] Waves Harpreet: [00:08:50] There. They're not as Or Lenchner: [00:08:51] Quality as in other places, but it just means that you need to practice harder and harder. And when you get to a Harpreet: [00:08:57] Good place with amazing waves, usually Or Lenchner: [00:09:00] You're doing a good job because Harpreet: [00:09:01] You don't get to practice so Or Lenchner: [00:09:03] Hard is not that great Harpreet: [00:09:05] Waves. And so you talked about being like a product guy at at heart. Harpreet: [00:09:09] Talk to us about how you developed this interest in in product. And then after that, I want to get into Harpreet: [00:09:14] This, that this cool product Harpreet: [00:09:16] You kind of developed to Harpreet: [00:09:17] Combine your Harpreet: [00:09:18] Interest in surfing Harpreet: [00:09:19] And product Harpreet: [00:09:20] Like Data about your sessions. Or Lenchner: [00:09:22] Oh, OK. Harpreet: [00:09:22] Cool. So I think that Or Lenchner: [00:09:24] I know I saw it as a product person, but I see it also Harpreet: [00:09:28] On other people Or Lenchner: [00:09:30] That they're working with. So there's this internal Harpreet: [00:09:33] Feeling and passion that you Or Lenchner: [00:09:36] Have an Harpreet: [00:09:36] Idea and you just have to make it happen right now, Or Lenchner: [00:09:41] Right here, and you just need to take the first step. Harpreet: [00:09:43] Otherwise you won't sleep at night. Or Lenchner: [00:09:45] That's how it starts. Harpreet: [00:09:47] That's how a good product starts. Or Lenchner: [00:09:48] I think sometimes the day after you need to kill the idea. Harpreet: [00:09:51] That's also fun. It's even more important. But that's Or Lenchner: [00:09:54] That Harpreet: [00:09:55] Feeling, that passion Or Lenchner: [00:09:56] Is bubbling Harpreet: [00:09:57] And inside you. And you just need to open Or Lenchner: [00:09:59] The computer [00:10:00] and start writing Harpreet: [00:10:01] Something or else you won't be Or Lenchner: [00:10:03] Able to go to bed at night. This is like Harpreet: [00:10:06] Real product passion. You have to Or Lenchner: [00:10:08] Have that in order to be in this profession. And usually you can gain that skill Harpreet: [00:10:13] Later on, something that Or Lenchner: [00:10:15] You have without even knowing what product you can do it as a child. Harpreet: [00:10:20] To me Or Lenchner: [00:10:20] Personally, as a child, I had to take Harpreet: [00:10:22] Everything electronical Or Lenchner: [00:10:24] And break it down into pieces, usually without the ability to rebuild it afterwards, just because I had to understand Harpreet: [00:10:31] The passion Or Lenchner: [00:10:32] That you have to do Harpreet: [00:10:32] It right now. What you what Or Lenchner: [00:10:34] You've mentioned, it's actually a cool product. Harpreet: [00:10:36] I actually started Or Lenchner: [00:10:38] In the U.S., Harpreet: [00:10:39] So I surf a lot. And we already went over this. Or Lenchner: [00:10:42] And then I had this idea that there's so much data that I produced while Harpreet: [00:10:47] Surfing in two aspects. Or Lenchner: [00:10:49] One aspect is my own ethic, Data. We can call Harpreet: [00:10:53] This way how Or Lenchner: [00:10:54] Many kilometers Harpreet: [00:10:55] I pedal, Or Lenchner: [00:10:57] How many waves I can Harpreet: [00:10:59] Watch, the speed. And the the other elements are environmental. What was the water temperature? What was the where? Or Lenchner: [00:11:08] Where was Harpreet: [00:11:09] I? So GPS Or Lenchner: [00:11:11] Location and things Harpreet: [00:11:12] Like that. So I had this passion that Or Lenchner: [00:11:14] I talked about Harpreet: [00:11:15] And it took me a Or Lenchner: [00:11:16] While, but I finished it and I actually built the back of sensors Harpreet: [00:11:21] That is being embedded Or Lenchner: [00:11:22] In a specific place in the Harpreet: [00:11:24] Surfboard that the surfer shoots. Or Lenchner: [00:11:26] And even Harpreet: [00:11:26] Feel it's Or Lenchner: [00:11:27] Working. It's pretty amazing. I serve, we need the few Harpreet: [00:11:30] Times and then I put it in Or Lenchner: [00:11:32] The drawer and never Harpreet: [00:11:33] Touch it again, Or Lenchner: [00:11:35] Because Harpreet: [00:11:35] I you know, I had a passion. Or Lenchner: [00:11:37] I fulfilled my my passion. Harpreet: [00:11:39] It went down and Or Lenchner: [00:11:40] I got back to do Harpreet: [00:11:41] What, you know, the Or Lenchner: [00:11:43] Daily job. So but I had to do it. I had to do it. And it's like it actually worked and it's very cool. Harpreet: [00:11:49] I mean, you got to keep keep pushing and keep creating. Harpreet: [00:11:51] Keep doing something different. Right? Or Lenchner: [00:11:52] I mean, it's actually a muscle that you need to maintain. Harpreet: [00:11:55] Yeah. Yeah. It was interesting. I was Harpreet: [00:11:57] Interviewing Guy James out to share on Harpreet: [00:11:59] My podcast [00:12:00] a while back. And he as I said, Harpreet: [00:12:01] You know, there's this concept of the idea muscle of having ideas is Harpreet: [00:12:04] Like muscles just come up with ideas and and execute on them. It's also Or Lenchner: [00:12:08] A methodology that you need Harpreet: [00:12:10] To practice. Or Lenchner: [00:12:11] This is something Harpreet: [00:12:12] You can learn and Or Lenchner: [00:12:13] You shouldn't copy from others that they did successfully. Harpreet: [00:12:16] You know, once you have Or Lenchner: [00:12:18] An idea, Harpreet: [00:12:18] What's next? You know, you don't need Or Lenchner: [00:12:20] To reinvent everything from scratch Harpreet: [00:12:22] Now. You just need to do a few Or Lenchner: [00:12:24] Steps in order Harpreet: [00:12:25] To make sure it's a good idea, Or Lenchner: [00:12:27] A crappy Harpreet: [00:12:27] Idea or something that you don't really Or Lenchner: [00:12:29] Know. And then you can check Harpreet: [00:12:32] And you company break. David has a lot of this baked into the DNA will get into some of the breakthrough DNA later. Harpreet: [00:12:37] I'm really, really fascinated Harpreet: [00:12:38] By this publicly available document that Harpreet: [00:12:40] Guys had on the Web that just Harpreet: [00:12:42] Talked about the ethos of the company. And we'll get to some of that a little bit later. Harpreet: [00:12:45] You know, you talked about Harpreet: [00:12:46] Being a product guy and, you know, kind of a hard skill for you to develop Harpreet: [00:12:50] Later on in life. Harpreet: [00:12:52] And this is something that I get asked by a lot of data Harpreet: [00:12:54] Scientist is how do you develop this elusive Harpreet: [00:12:57] Skill of Harpreet: [00:12:57] Product? Tensorflow, you talked a Harpreet: [00:12:59] Little bit about taking product apart and trying to put them Harpreet: [00:13:02] Back together. But when it comes to like Harpreet: [00:13:03] Digital products, which a lot of data scientists working on companies that, you know, develop digital products, what does products and mean to Harpreet: [00:13:11] You and, you know, how can we Harpreet: [00:13:12] Cultivate that type of sense in Harpreet: [00:13:14] Ourselves? Or Lenchner: [00:13:14] Yeah, I think that product stance Harpreet: [00:13:17] Is indeed an elusive term. For me, Or Lenchner: [00:13:19] It's first of all, understanding Harpreet: [00:13:21] That most probably Or Lenchner: [00:13:23] That you'll Harpreet: [00:13:23] Never have you will never had Or Lenchner: [00:13:25] It. Not not me. It's not that I will have it. Harpreet: [00:13:27] Then you won't have you won't have Or Lenchner: [00:13:28] It because Harpreet: [00:13:29] It's a methodology that Or Lenchner: [00:13:31] You need to Harpreet: [00:13:31] Practice. It's not a sixth sense that you need to. Or Lenchner: [00:13:35] It's something that you're born Harpreet: [00:13:37] With it or not. And the passion for Or Lenchner: [00:13:39] Doing product side thing, that you're born with it or not. Harpreet: [00:13:42] But that product sense that we're talking Or Lenchner: [00:13:46] About, this is actually a skill. This is something that you can learn. So, first of all, don't Harpreet: [00:13:51] Be under the wrong assumption that Or Lenchner: [00:13:55] You just have it and you're a Harpreet: [00:13:56] Magician. You're not. I mean, no one is. So that's you Or Lenchner: [00:13:59] Know, [00:14:00] the first step is to admit in the in the problem. Harpreet: [00:14:03] So this is something that you don't have. Or Lenchner: [00:14:05] And if you won't practice, Harpreet: [00:14:07] You won't have you won't have it. You can do an amazing Or Lenchner: [00:14:09] Job once and build this Harpreet: [00:14:11] Most amazing product and Or Lenchner: [00:14:13] Then just, you know, be there again and the next product and it'll completely fail. So that's the first step then. And I'm not saying it because the company name is Bright Data. Harpreet: [00:14:25] Use Data. Or Lenchner: [00:14:26] So it doesn't you don't need to be a data scientist. They're using Data. It's also Harpreet: [00:14:30] Starting with Googling, something that that's Or Lenchner: [00:14:33] A use of data. It's the very basic one. But that's a first step. It's better Harpreet: [00:14:37] Than guessing. And that's what I'm getting. Or Lenchner: [00:14:39] So don't guess when you guess your bias, your bias towards Harpreet: [00:14:43] Your idea, you're in love Or Lenchner: [00:14:45] In your Harpreet: [00:14:45] Idea. Or Lenchner: [00:14:46] One of the hardest things to Harpreet: [00:14:48] Do, but maybe the most Or Lenchner: [00:14:51] Required skill for a product manager is to be Harpreet: [00:14:54] Able to fast to Or Lenchner: [00:14:55] Kill ideas Harpreet: [00:14:56] Faster than creating new ones. And if you're guessing Or Lenchner: [00:15:00] And not Harpreet: [00:15:01] Using Data, not measuring, then your Or Lenchner: [00:15:03] Bias, then you are in the risk to start and continue with a bad Harpreet: [00:15:08] Idea. Now, statistically, all of us, Or Lenchner: [00:15:10] Most of our ideas are completely stupid. That's a reality. Harpreet: [00:15:15] So once you Or Lenchner: [00:15:16] Understand that, also, no matter how smart you Harpreet: [00:15:18] Are and how much how many successes Or Lenchner: [00:15:20] You have in defeating the best, you need to measure it, Harpreet: [00:15:23] You need to test it, and then you need to Or Lenchner: [00:15:25] Follow the Data. Don't follow your Harpreet: [00:15:27] Heart. You can start with the heart, Or Lenchner: [00:15:29] With the gut, with Harpreet: [00:15:30] The passion, and make sure the second day you're Or Lenchner: [00:15:33] Shifting Harpreet: [00:15:34] Completely towards Data. So it sounds like there's there's really kind of a maybe a Harpreet: [00:15:38] Subtle but maybe big difference, I guess, between guesses and an hypothesis. So you're saying if you're just making a guess about Harpreet: [00:15:44] Something, you're kind of just following a Harpreet: [00:15:46] Direction and going that way without Harpreet: [00:15:48] Gathering data, but with your hypothesis Harpreet: [00:15:50] Would be OK? I think this might be the case. Harpreet: [00:15:52] Let me complex and Data Harpreet: [00:15:53] Try to Harpreet: [00:15:53] Refute. There's a little Harpreet: [00:15:55] Subtle difference Harpreet: [00:15:55] There. Harpreet: [00:15:56] It was a very angry. Harpreet: [00:15:57] Completely agree. You have to start with a [00:16:00] theory, by the way. You started with a theory. You validated the theory. Then you immediately Or Lenchner: [00:16:05] Need to Harpreet: [00:16:05] Come up with another theory for the next step. Or Lenchner: [00:16:07] So I completely agree. And thanks for sharpening this point. Harpreet: [00:16:10] Oh, your love of product, your passion for product. Actually, this is how you landed Harpreet: [00:16:16] Your first role Harpreet: [00:16:17] At Bray Data. The legend Harpreet: [00:16:19] Has it that it all happened because Harpreet: [00:16:20] Left a review about the product. Yeah, I Or Lenchner: [00:16:23] Mean, yes, but it wasn't just the review it. Was a detailed professional specific review. Harpreet: [00:16:29] I haven't said it. Or Lenchner: [00:16:30] I never went to university. I mean, I have I just did one semester, but then I Harpreet: [00:16:35] Started to build products that actually on value in and and Or Lenchner: [00:16:39] Revenues. So I Harpreet: [00:16:40] Dropped university Or Lenchner: [00:16:41] After the first semester. Harpreet: [00:16:43] And right after that, I also Or Lenchner: [00:16:45] Started another experiment. I won't even call it the Harpreet: [00:16:47] Business initiative, Or Lenchner: [00:16:49] Just an Harpreet: [00:16:49] Experiment that eventually Or Lenchner: [00:16:51] Brought Harpreet: [00:16:52] Me to Or Lenchner: [00:16:53] This place. So I was probably twenty Harpreet: [00:16:55] Fourteen or fifteen. Or Lenchner: [00:16:57] I had this passion one evening. Harpreet: [00:17:00] I started to use a browser extension. I looked for Or Lenchner: [00:17:03] Reviews like not from the browser store, but unbiased reviewers on a third party Harpreet: [00:17:08] Website and couldn't find one. So I spent a few Or Lenchner: [00:17:11] Hours because I couldn't go ahead and splashier Harpreet: [00:17:14] And just created a website Or Lenchner: [00:17:16] That Harpreet: [00:17:16] Reviews browser extension. And it went pretty nice, actually. Or Lenchner: [00:17:20] And after a few months, I Harpreet: [00:17:21] Reviewed an extension named Paula DPN. And this is an Israeli company. Or Lenchner: [00:17:27] So I also Harpreet: [00:17:28] Found out CEO email and sent him a detail review as a product guide Or Lenchner: [00:17:34] To what I did. Harpreet: [00:17:35] And the day after, I think we met for like three Or Lenchner: [00:17:39] Or four straight hours talking product, Harpreet: [00:17:41] Talking how to build stuff, Or Lenchner: [00:17:43] How to manage stuff. That DNA that you mentioned talking a lot about that. We're probably also Harpreet: [00:17:49] Talking about a year and a few Or Lenchner: [00:17:51] Days after I sold all of the other companies Harpreet: [00:17:54] That I had and Or Lenchner: [00:17:56] Joined the company. Harpreet: [00:17:57] So the original name of REI Data, [00:18:00] it all started Or Lenchner: [00:18:01] From that Harpreet: [00:18:01] Extension under the name Hall Or Lenchner: [00:18:03] Of the Pierre. So I started as a product Harpreet: [00:18:05] Manager and this back Or Lenchner: [00:18:07] Then, small company that they really, Harpreet: [00:18:09] Really well connected to Or Lenchner: [00:18:11] Their character, how to build Harpreet: [00:18:13] Stuff with actual value. Or Lenchner: [00:18:15] As for today, we're brai Data, 300 plus Harpreet: [00:18:18] Employees, very successful Or Lenchner: [00:18:20] In-store. Harpreet: [00:18:20] So let's get into a bright Data learn a little bit more about kind of what the company does. Harpreet: [00:18:25] You know, the Data from that we're talking about Harpreet: [00:18:27] Clayton from Harpreet: [00:18:27] A surfboard example of Harpreet: [00:18:28] Private Data Data that, you know, my activity Harpreet: [00:18:31] Trackers, that private Data. Harpreet: [00:18:33] Well, your company specializes Harpreet: [00:18:34] In making publicly available Harpreet: [00:18:37] Data accessible to companies. Harpreet: [00:18:39] So it's kind of a basic Harpreet: [00:18:40] Question here, but how do you define Harpreet: [00:18:43] Publicly available data? Yeah, that's a great question. Or Lenchner: [00:18:46] And it's so basic, but so complicated to understand sometimes. So we really worked hard on making sure that it's easy to understand. So I'll just answer that and then I'll explain what we're doing. So if you can, Harpreet: [00:18:59] As an individual, buy our. Or Lenchner: [00:19:01] Just open your browser. Harpreet: [00:19:03] And we're talking only about Internet. Or Lenchner: [00:19:04] Open the browser type. Harpreet: [00:19:06] Any URL you want to type into Or Lenchner: [00:19:09] The URL Harpreet: [00:19:10] Section, click, enter and see a content on that Web page. That's public Data. So if you as Or Lenchner: [00:19:17] An individual Harpreet: [00:19:18] Can see it, it means that it's public. If you need, for Or Lenchner: [00:19:20] Example, to log Harpreet: [00:19:22] Into a platform, that's Or Lenchner: [00:19:24] Debatable. That's probably not Harpreet: [00:19:25] If it's a URL, Or Lenchner: [00:19:27] But that represent an Harpreet: [00:19:28] Api permit, that's probably not public. Or Lenchner: [00:19:31] So we're talking Harpreet: [00:19:32] About the Internet. The World Wide Web is probably the biggest Or Lenchner: [00:19:37] Database in the history of mankind today, Harpreet: [00:19:41] Around 50 Or Lenchner: [00:19:42] Zettabytes. That's 50 with Harpreet: [00:19:44] 21 zeroes Or Lenchner: [00:19:46] After Harpreet: [00:19:47] The number in less than Or Lenchner: [00:19:49] Four years from now. Twenty twenty five, it's going to be above 200 sets, about two hundred and twenty one. You can't even imagine the size of fourteen. Right. So it's just growing and growing. Harpreet: [00:19:59] Growing. [00:20:00] A huge portion of this is public information. So, yeah, Or Lenchner: [00:20:04] This number Harpreet: [00:20:04] Is a huge number. Also includes your personal data Or Lenchner: [00:20:08] That you talked about, WhatsApp messages, your Harpreet: [00:20:10] Emails. I'm not Or Lenchner: [00:20:11] Talking about debt that's not related to Harpreet: [00:20:13] What we're doing. But just Or Lenchner: [00:20:15] Think about the huge amount of data that is completely public Harpreet: [00:20:19] And our debt. And this is the industry and the areas that Or Lenchner: [00:20:23] Data is working on. It's OK. I think that it makes sense that they also explain briefly Harpreet: [00:20:28] What we're doing. Yeah, please. Or Lenchner: [00:20:30] So basically, we're building products that allow our customers to collect the public Harpreet: [00:20:36] Data from the way that easiest debt. Or Lenchner: [00:20:39] Now, someone who's not from the industry with this, but it's public data. Harpreet: [00:20:43] So it's public. Or Lenchner: [00:20:44] It's there. Why do you need Harpreet: [00:20:45] Tools to collect? And the short answer Or Lenchner: [00:20:48] To that, Harpreet: [00:20:49] Although it's called public Or Lenchner: [00:20:51] Data, and you can see it within Harpreet: [00:20:52] Your own AIs, it's actually Or Lenchner: [00:20:54] Not public, because if you try Harpreet: [00:20:56] To automate this Or Lenchner: [00:20:57] Viewing of Harpreet: [00:20:58] Data and taking a Or Lenchner: [00:21:00] Machine, a computer to see this data and to collect it, then it's becoming harder because you're actively being being Harpreet: [00:21:07] Blocked, even though Or Lenchner: [00:21:08] It's public data. For example, talking Harpreet: [00:21:10] About prices of product, Or Lenchner: [00:21:12] Why someone would block that. Harpreet: [00:21:14] But that's just a Or Lenchner: [00:21:16] Very short analogy Harpreet: [00:21:17] From the physical world. Better understand Or Lenchner: [00:21:19] That. What's the problem Harpreet: [00:21:20] That Or Lenchner: [00:21:21] We're solving? Let's imagine I have a grocery store and you have a grocery. Harpreet: [00:21:25] In the physical world, Or Lenchner: [00:21:27] We're competing, we're on Harpreet: [00:21:28] The same street. We're competing. I send my guy to your store one Or Lenchner: [00:21:31] Morning to check on the prices of the Harpreet: [00:21:33] Cucumbers because I have this Or Lenchner: [00:21:35] Massive stack of cucumbers. I have to sell everything. Harpreet: [00:21:39] So I want to know Or Lenchner: [00:21:40] Your price so I can cut it by 10 percent and sell more. That's transparency. And that leads to competition, which is always a great thing for the consumer. Harpreet: [00:21:50] I would go in buying if the quality is Or Lenchner: [00:21:52] Good and I'll just buy the cheaper Harpreet: [00:21:53] Equipment. And then you Or Lenchner: [00:21:54] Have a security guard at Harpreet: [00:21:56] The front that says, hey, aren't you Or Lenchner: [00:21:59] Working on that [00:22:00] other Harpreet: [00:22:00] Store? So you're the Or Lenchner: [00:22:01] Only one who's Harpreet: [00:22:02] Not allowed in this store. This doesn't make Or Lenchner: [00:22:05] Sense. Harpreet: [00:22:06] I even argue that it's illegal in some places Or Lenchner: [00:22:10] To stop someone from entering a store. But this is how the Internet works today. That's that's actually an absurd. And this is how the Internet works. So it's not easy Harpreet: [00:22:18] To collect public data from Or Lenchner: [00:22:20] The Web. And this is what Data allows Harpreet: [00:22:23] The largest companies, institutions and Or Lenchner: [00:22:26] Organizations in the Harpreet: [00:22:27] World to do in large scale. So, I mean, this is different from Harpreet: [00:22:31] Like open data portal type of data. Like, for example, my Harpreet: [00:22:34] City here, open data portal. Harpreet: [00:22:36] I can go access there as much as they want. They know they might have some limitations. Harpreet: [00:22:40] But fundamentally, Harpreet: [00:22:41] I can go scrape all the open data Harpreet: [00:22:42] Portal for my government. Harpreet: [00:22:44] But this is you're saying in commercial Harpreet: [00:22:45] Settings like that example. I really like that. If you're a Or Lenchner: [00:22:48] Grocery. Yeah, but you'll be surprised. You said something really interesting. Harpreet: [00:22:52] You even you when you tried to sell it, it's different. Or Lenchner: [00:22:55] You say it might have a Harpreet: [00:22:56] Few limitations, but why Or Lenchner: [00:22:58] It's open Harpreet: [00:22:59] Data, it should be limitless. Or Lenchner: [00:23:01] So that's actually not a different case. It's just a different use. So the idea is that if public data Harpreet: [00:23:09] Is public, it should be public. Or Lenchner: [00:23:11] So you need to digest that debate. So even if you want to go to Harpreet: [00:23:15] Public Data sorts, Or Lenchner: [00:23:17] That has limitations, it's not really public. It has limitations. Harpreet: [00:23:21] They think about it. Data is almost everything today. Every company, Or Lenchner: [00:23:25] Organization, research, Harpreet: [00:23:27] Academic institution, everyone are Or Lenchner: [00:23:29] Getting data based decisions. Why on earth would Harpreet: [00:23:33] Someone agree to have public Data Or Lenchner: [00:23:36] Blog? I mean, what what good can come out from blocking Harpreet: [00:23:40] This public data? Nothing. Or Lenchner: [00:23:43] We don't even need to think what talented people can do with this data. Harpreet: [00:23:47] We have amazing individuals, brains and companies in the world Or Lenchner: [00:23:51] That can do things that we will never Harpreet: [00:23:54] Imagine. But we just have to make Or Lenchner: [00:23:57] Sure that they have access to this data. Now, [00:24:00] so far until a few years ago and. Harpreet: [00:24:02] Right. Data and companies like Data were around. This was something that only the big Or Lenchner: [00:24:07] Tech companies were Harpreet: [00:24:08] Able to do. They had the Or Lenchner: [00:24:09] Resources Harpreet: [00:24:10] To do it on their own. Or Lenchner: [00:24:11] We make sure with our platforms that it's all source self service product, that everyone if you're a one man Harpreet: [00:24:17] Show or a small company Or Lenchner: [00:24:19] Or an Harpreet: [00:24:20] Enterprise, you will be Or Lenchner: [00:24:21] Able to access public data on the Web Harpreet: [00:24:24] Period. So that's kind Harpreet: [00:24:25] Of what you mean by transparency of Data, is that if it's Harpreet: [00:24:28] Available for Harpreet: [00:24:29] Anyone to go, for example, go to like an electronics store website, go look at other prices. Harpreet: [00:24:34] And, you know, I Harpreet: [00:24:34] Could sit there manually and take all the prices down an Harpreet: [00:24:37] Excel sheet, and it shouldn't be different for somebody to just scrape the Harpreet: [00:24:42] Website. Harpreet: [00:24:42] So that kind of what you mean by transparency there? Yeah. Or Lenchner: [00:24:45] Think about the world. Without that transparency, you'll be blind as a business. You only do mistakes that will cost more for the consumer eventually. Harpreet: [00:24:54] By the way, it doesn't Or Lenchner: [00:24:55] Mean that, you know, talking about transparent data Harpreet: [00:24:58] And making public data actually public. Or Lenchner: [00:25:01] It doesn't mean that you don't need to be cautious. It doesn't mean that you don't need to take ethical consideration. It doesn't mean that you don't need regulation. Harpreet: [00:25:09] We need Or Lenchner: [00:25:10] Regulation. We want Harpreet: [00:25:11] Regulation. Or Lenchner: [00:25:12] We regulate that ourselves until the regulators will do that. Harpreet: [00:25:15] And we will Or Lenchner: [00:25:16] Push them Harpreet: [00:25:16] To do that. It can live together. Or Lenchner: [00:25:19] But what you said is exactly true. Harpreet: [00:25:23] And just imagine a world Or Lenchner: [00:25:24] In which you have no idea what's going on. Harpreet: [00:25:26] Ok, imagine fighting Covid pandemic only based on your own country. Data. Or Lenchner: [00:25:33] Ok. All other countries are blocking Harpreet: [00:25:36] You from their Or Lenchner: [00:25:37] Data. I'm not talking about personal data. Harpreet: [00:25:39] Of course, Or Lenchner: [00:25:39] They're not your name. And if you're sick or not, I'm talking about statistical data. Harpreet: [00:25:44] Why would someone do that? Or Lenchner: [00:25:45] I mean, Harpreet: [00:25:46] We all it's Or Lenchner: [00:25:47] Clear that, you know, being blind half blind Harpreet: [00:25:50] Will hurt Or Lenchner: [00:25:51] Your attempts to fight the pandemic. Harpreet: [00:25:53] Right. This is why open data, which is public, they're not talking about private data is so important. Harpreet: [00:25:59] So just [00:26:00] to kind of understand and conceptualize some of Harpreet: [00:26:02] The things that are blocking us Harpreet: [00:26:04] From Harpreet: [00:26:04] Accessing, you know, publicly Harpreet: [00:26:05] Available Harpreet: [00:26:06] Data. What are some Harpreet: [00:26:07] Of the Harpreet: [00:26:07] Practices that that are being Harpreet: [00:26:09] Used Harpreet: [00:26:10] That will prevent people from Harpreet: [00:26:12] Or companies from accessing this publicly Harpreet: [00:26:14] Available data? We're mostly talking about technological aspects. So no specific code that is trying Or Lenchner: [00:26:22] To Harpreet: [00:26:22] Understand if the trashing. Or Lenchner: [00:26:25] It is entering the Harpreet: [00:26:26] Website, which is doing something that Or Lenchner: [00:26:28] Is Harpreet: [00:26:28] Completely fine. It's only Or Lenchner: [00:26:30] Reading Harpreet: [00:26:31] The Data is a real human being Or Lenchner: [00:26:33] With real intentions, for example, to buy a Harpreet: [00:26:35] Product or Or Lenchner: [00:26:36] In high chance. Harpreet: [00:26:37] This is a computer that, again, just to emphasize Or Lenchner: [00:26:42] What we took Harpreet: [00:26:43] A minute ago. No one will argue that you having a thousand Or Lenchner: [00:26:47] Employees instead of 300 employees Harpreet: [00:26:49] And bright and all of them will have each of them will have a Or Lenchner: [00:26:52] Computer sold thousands of computers. They will get a task one day to collect all of the prices of this product or that flight Harpreet: [00:27:00] From different locations Or Lenchner: [00:27:01] Because they are scattered Harpreet: [00:27:02] Around the world and Or Lenchner: [00:27:04] Created Harpreet: [00:27:04] Google shit for me because Or Lenchner: [00:27:06] I need to get a decision. Harpreet: [00:27:07] And that's fine. Right. Or Lenchner: [00:27:09] Just what we're basically doing us. Harpreet: [00:27:11] But the industry as a whole is taking Or Lenchner: [00:27:13] These thousand employees and thousand computers and merging it into Harpreet: [00:27:17] A machine that's more effective Or Lenchner: [00:27:18] For everyone. It's even more Harpreet: [00:27:20] Effective. Or the website Or Lenchner: [00:27:21] That holds the public Harpreet: [00:27:23] Information. Or Lenchner: [00:27:24] So technology is a good. So this computer that represent Harpreet: [00:27:28] 2000 employees, original employees, goes in and Or Lenchner: [00:27:32] Collect Harpreet: [00:27:32] Data. It will be Or Lenchner: [00:27:34] You can find Harpreet: [00:27:35] Some other counter products Or Lenchner: [00:27:37] That are trying to block the Harpreet: [00:27:38] Exits in technological map. So is it is it primarily Harpreet: [00:27:43] Businesses Harpreet: [00:27:44] That get this less transparent view Harpreet: [00:27:46] Of the Web Harpreet: [00:27:47] Than consumers? Or is it like Harpreet: [00:27:49] A unique Harpreet: [00:27:50] Challenge that that the business Harpreet: [00:27:51] Faces? Harpreet: [00:27:52] And I guess, you know, what are some some ways that Harpreet: [00:27:54] Bright Data help overcome this and touch on a little bit that just right now, but Harpreet: [00:27:59] Kind of Antopol [00:28:00] up there? You know what? Or Lenchner: [00:28:00] I wish it was only a commercial Harpreet: [00:28:02] Thing, but it Or Lenchner: [00:28:03] Actually hurts Harpreet: [00:28:05] Noncommercial bodies from creating incredible Or Lenchner: [00:28:09] Positive value to Harpreet: [00:28:10] The world. Or Lenchner: [00:28:10] We recently note that recently, a few Harpreet: [00:28:14] Months ago, we initiated Or Lenchner: [00:28:16] A separate Harpreet: [00:28:17] Organization called The Bright Initiate. Or Lenchner: [00:28:19] This organization simply Harpreet: [00:28:21] Utilizes Web Data Or Lenchner: [00:28:23] For good Harpreet: [00:28:24] To create a positive impact on the world, whether it's Or Lenchner: [00:28:27] Through research or helping NGOs and nonprofits. It started off when we wanted to help researchers Harpreet: [00:28:33] With fighting the pandemic, and that just Or Lenchner: [00:28:36] Gave Harpreet: [00:28:36] That example. And it just Or Lenchner: [00:28:37] Expanded beyond our expectations. So the researchers Harpreet: [00:28:40] That wanted to get data they can support Or Lenchner: [00:28:43] Their efforts to fight this pandemic were blocked Harpreet: [00:28:47] As if Or Lenchner: [00:28:47] They are a Harpreet: [00:28:48] Commercial. But today, this Or Lenchner: [00:28:50] Organization, of Harpreet: [00:28:50] Course, they're over, I think, about Or Lenchner: [00:28:52] One hundred Harpreet: [00:28:53] And twenty organizations Or Lenchner: [00:28:54] And more than 85 academic institutions such as Princeton University Harpreet: [00:28:59] And Northeastern University of Or Lenchner: [00:29:02] Virginia Tech, Oxford University, and more. So it's not a problem Harpreet: [00:29:07] That no, only Or Lenchner: [00:29:08] The commercial Harpreet: [00:29:09] Industry, quote unquote, enjoys. Or Lenchner: [00:29:12] It's a problem for everyone. Harpreet: [00:29:14] And it's the real actual problem that Or Lenchner: [00:29:17] We have to solve. We have so many researchers Harpreet: [00:29:20] In so many Or Lenchner: [00:29:21] Amazing Harpreet: [00:29:21] Things that we wouldn't Or Lenchner: [00:29:23] Be able to do it without us. So just one example Harpreet: [00:29:26] By May that I Or Lenchner: [00:29:28] Will never Harpreet: [00:29:28] Forget. Or Lenchner: [00:29:29] Hdi Labs is an Harpreet: [00:29:30] Organization focused Or Lenchner: [00:29:32] On fighting sex Harpreet: [00:29:33] Trafficking. They use Or Lenchner: [00:29:35] Web Data to reach online ads that provide an indication that there might be involvement of sex trafficking and then their do their job and are able Harpreet: [00:29:44] To find out these Or Lenchner: [00:29:46] Potential cases and inform the authorities. Harpreet: [00:29:49] These guys seem like Or Lenchner: [00:29:51] It's not a Harpreet: [00:29:52] Guesstimate. You know, we talked to them. Or Lenchner: [00:29:53] They actually saved Harpreet: [00:29:54] Lives. Or Lenchner: [00:29:55] And think about the case that they were being blocked from that public Data. [00:30:00] We're not talking about dark web and things like that. I'm talking about Craigslist. Harpreet: [00:30:04] I'm talking about public data that is out there. And you just need access to get the services that bright Data price sounds like it's it's not Harpreet: [00:30:11] Geared, just business-to-business Harpreet: [00:30:13] Can. And, you know, individual Harpreet: [00:30:14] Consumers Harpreet: [00:30:15] Get access Harpreet: [00:30:16] To your services or universities or is it primarily for Harpreet: [00:30:20] Either B type of Or Lenchner: [00:30:21] Initiative that. Harpreet: [00:30:21] Yeah, no, it's a bit of B. Right. Or Lenchner: [00:30:24] So it doesn't really make sense. You know, it's success companies. So it's all products, API, things like that. Harpreet: [00:30:31] I mean, as an individual. Or Lenchner: [00:30:32] Go ahead. Harpreet: [00:30:33] But you can try it out. Or Lenchner: [00:30:35] But it's a B2B product. Harpreet: [00:30:37] Yeah. So this idea of alternative Harpreet: [00:30:39] Data, I find Harpreet: [00:30:40] This to be interesting. Can you Harpreet: [00:30:42] Kind of define Harpreet: [00:30:43] Alternative Data for us? Harpreet: [00:30:44] And then how can alternative Harpreet: [00:30:46] Data help organizations Harpreet: [00:30:48] Make Harpreet: [00:30:48] Better decision? Yeah, sure. Or Lenchner: [00:30:50] And that's a Harpreet: [00:30:50] Very strong term Or Lenchner: [00:30:52] Right now. Very trendy, but for a good reason. So alternative Data or AIs? Harpreet: [00:30:56] Data. Or Lenchner: [00:30:57] So this term refers to external data sources or nontraditional datasets, Harpreet: [00:31:03] Such as internal Or Lenchner: [00:31:04] Data. So that's the opposite. So it's usually referred to when discussing the financial market or industry. Harpreet: [00:31:11] But obviously, Or Lenchner: [00:31:12] Other sectors, such as E Commerce and travel, already use affirmative data Harpreet: [00:31:15] In a great extent. So what is means? Or Lenchner: [00:31:18] It means Harpreet: [00:31:18] That as a company, you're not just Or Lenchner: [00:31:21] Getting decisions based on your Harpreet: [00:31:24] Internal. Data or other Or Lenchner: [00:31:25] Traditional daybed, for Harpreet: [00:31:27] Example, if you are an Or Lenchner: [00:31:28] E-commerce company, so you have your own Data, your own traffic, your Harpreet: [00:31:32] Own financial Or Lenchner: [00:31:33] Records, that you can get decision. Harpreet: [00:31:35] You have some Or Lenchner: [00:31:35] Third Harpreet: [00:31:36] Party data Or Lenchner: [00:31:37] That you can get decisions about which are trivial. For example, I don't know the the changes in the United States GDP. So the Internet can effect Harpreet: [00:31:47] On on your Or Lenchner: [00:31:48] Decision Harpreet: [00:31:48] Making. Or Lenchner: [00:31:49] That's like traditional let's call traditional Data. Harpreet: [00:31:51] Alternative Data is Or Lenchner: [00:31:53] Basically Harpreet: [00:31:54] Everything that doesn't fall under this category. Or Lenchner: [00:31:56] So we recently conducted a survey Harpreet: [00:31:58] Looking at the use [00:32:00] Or Lenchner: [00:32:00] Of data across the financial Harpreet: [00:32:02] Sector in the US and UK, and found out that nearly a quarter Or Lenchner: [00:32:06] Of financial Harpreet: [00:32:06] Services work for Or Lenchner: [00:32:08] Organizations that are professionals who work in stations that collect Harpreet: [00:32:12] Data using to support the work on a daily Or Lenchner: [00:32:15] Basis, on a daily basis. Harpreet: [00:32:16] I think that one very, Or Lenchner: [00:32:18] Very interesting specific use case that Harpreet: [00:32:21] I can share. I think that Or Lenchner: [00:32:22] It will help the viewers and listeners to better Harpreet: [00:32:25] Understand what it means. So one of our customers is a hedge fund. Think from the Or Lenchner: [00:32:30] New York Harpreet: [00:32:31] Finance sector. Or Lenchner: [00:32:32] And they were eager Harpreet: [00:32:34] To understand if Or Lenchner: [00:32:35] They should invest or not Harpreet: [00:32:37] In a chemical company. So they did Or Lenchner: [00:32:41] All everything that they had to do. So they checked the company financials. They checked other competitors to understand what's going on in the market. That's the traditional Harpreet: [00:32:49] Things that you should check. But what they did Or Lenchner: [00:32:51] With us, for example, is Harpreet: [00:32:53] They threw Or Lenchner: [00:32:54] Our tools. Harpreet: [00:32:55] They collected all of the prices of Or Lenchner: [00:32:58] The bleach, Harpreet: [00:32:59] The bleach. It you clean the floors with India, not in Or Lenchner: [00:33:02] North Harpreet: [00:33:02] America. Over a period of time, because these leeches contain Or Lenchner: [00:33:07] Some of the Harpreet: [00:33:07] Chemicals of that company. Or Lenchner: [00:33:09] And then they realized the trend. Harpreet: [00:33:11] That's like a very, Or Lenchner: [00:33:13] Very good example of what alternative Data. Harpreet: [00:33:16] Got it. That's really fascinating. I find that to be like really creative ways Harpreet: [00:33:21] To to use Harpreet: [00:33:22] Data. And the beauty is Or Lenchner: [00:33:23] That's like the tip of Harpreet: [00:33:24] The iceberg. But the beauty is Or Lenchner: [00:33:26] That, first of all, we Harpreet: [00:33:27] Never able to think Or Lenchner: [00:33:29] That this Harpreet: [00:33:29] Data will serve a hedge. Right. Or Lenchner: [00:33:32] The crisis of bleach. Harpreet: [00:33:33] But what's even more nice Or Lenchner: [00:33:35] Is that the Harpreet: [00:33:35] Same Data prices of bleach Or Lenchner: [00:33:37] Can serve Harpreet: [00:33:38] Another company for a completely Or Lenchner: [00:33:40] Different Harpreet: [00:33:41] Reason. Newscasts, which, again, Or Lenchner: [00:33:43] I can't even Harpreet: [00:33:43] Think of. But maybe someone will Or Lenchner: [00:33:45] Be able to use this alternative Data for Harpreet: [00:33:47] A completely different decision making, because people Harpreet: [00:33:50] Come to you and they want to use like alternative Data Harpreet: [00:33:52] For some like sketchy or Harpreet: [00:33:54] Shady things that you kind of like IFCA about. Like how do you guys handle situations like that? Harpreet: [00:33:58] Great question. Great [00:34:00] question. So I encourage Or Lenchner: [00:34:02] Everyone Harpreet: [00:34:02] To try and sign up Or Lenchner: [00:34:04] And to get Harpreet: [00:34:05] Access to. Or Lenchner: [00:34:06] We have a bunch of products that the core Harpreet: [00:34:09] Products which Or Lenchner: [00:34:10] Will actually help you to obtain Harpreet: [00:34:12] This Data Or Lenchner: [00:34:13] Requires a very, Harpreet: [00:34:15] Very strict compliance procedure. So we have to know. We want to Or Lenchner: [00:34:20] Know. So we decided that we Harpreet: [00:34:21] Have to know who you are as a customer. Or Lenchner: [00:34:24] And we have over 10000 execs that who you are, Harpreet: [00:34:27] What you're going to do. What's the use Or Lenchner: [00:34:29] Case? How are you going to use Data? We're also talking about a video call. Harpreet: [00:34:33] We need to know who you are. We need to talk to you, every Or Lenchner: [00:34:36] Single customer that's going to use that and the more advanced products, but most of the products. Harpreet: [00:34:41] So that's one thing. It's also Or Lenchner: [00:34:43] A lot about Harpreet: [00:34:44] Transparency. Visit Brai Data dot com. Or Lenchner: [00:34:46] We have both sections saying what's allowed and what's not allowed. I'm not talking about tell us our license agreement. Harpreet: [00:34:53] Obviously you have them, but that's like Or Lenchner: [00:34:55] Just, you know, you have it because you need to have it. Harpreet: [00:34:57] I'm talking about lots of Or Lenchner: [00:34:59] Resources that we invest internally to make sure that externally it Harpreet: [00:35:03] Is clear what you can and cannot do Or Lenchner: [00:35:06] Just before you being a customer or becoming Harpreet: [00:35:08] Customer. You should know that. Or Lenchner: [00:35:10] And we make sure that you Harpreet: [00:35:11] Will know that and you won't be Or Lenchner: [00:35:12] Able to do these things with us. We we Harpreet: [00:35:15] Measure I think the number is Or Lenchner: [00:35:17] Half a trillion Harpreet: [00:35:18] Metrics is in in real Or Lenchner: [00:35:20] Time every Harpreet: [00:35:21] Single moment. Or Lenchner: [00:35:22] A huge portion Harpreet: [00:35:23] Of them is what we call compliance metrics to make Or Lenchner: [00:35:27] Sure it's not just that you pass the, you know, didn't know your customer Harpreet: [00:35:30] Process and we trust Or Lenchner: [00:35:31] You. We also make Harpreet: [00:35:32] Sure that you're doing what you Or Lenchner: [00:35:34] Said you're going to do. Harpreet: [00:35:35] By the way, you can you know, if you're a customer, Or Lenchner: [00:35:37] Maybe you you created a bug in the code and then you're doing something that you shouldn't. It can also happen. It doesn't mean that you're Harpreet: [00:35:43] A bad guy. But we we Or Lenchner: [00:35:44] Want to monitor all these things all for ourselves. We will be able to Harpreet: [00:35:48] Control what's going on Or Lenchner: [00:35:49] On our network. Harpreet: [00:35:50] So that's really like, Or Lenchner: [00:35:52] In a nutshell, the things that we're doing. But that's a great question, because Harpreet: [00:35:55] That's a real Or Lenchner: [00:35:55] Problem in the industry. Harpreet: [00:35:57] What you just mentioned, I think that's Harpreet: [00:35:58] Awesome that you guys Harpreet: [00:35:59] Have that through kind [00:36:00] Harpreet: [00:36:00] Of screening Harpreet: [00:36:00] Process to, you know, before even Harpreet: [00:36:02] Accepting Harpreet: [00:36:02] Customers. I talked a little bit about the financial industry. Harpreet: [00:36:06] I'm wondering, like, you know, what what are some industries that you Harpreet: [00:36:09] Think are really going to start benefiting from this large scale data collection and Harpreet: [00:36:17] Having this integrated into their businesses? I mean, given given kind of the state of the Harpreet: [00:36:20] World, there's now much more data has Harpreet: [00:36:22] Been generated because of, you know, Koven 19. Work from home than than before. Harpreet: [00:36:26] Like, are there any Harpreet: [00:36:26] Particular industries you see that might be able to capitalize on on these Harpreet: [00:36:30] And. For sure. So, again, the interesting Or Lenchner: [00:36:32] Part Harpreet: [00:36:33] The interesting thing Or Lenchner: [00:36:34] In my AIs is Harpreet: [00:36:35] That we were never able to imagine what will be Or Lenchner: [00:36:39] The next industry to capitalize on Web Data or use Web Data. Harpreet: [00:36:44] Never. Not even once. OK, we are so Or Lenchner: [00:36:47] Because we don't if you're a bank, Harpreet: [00:36:51] You know why you need the Data? I don't know. Or Lenchner: [00:36:54] I know how Harpreet: [00:36:54] To collect data. And this is happening over and over again. So we support dozens of different industries. Or Lenchner: [00:37:00] Obviously, e-commerce, online, travel, all of these industries. Harpreet: [00:37:04] It's obvious why they need Data. But we see that everyone needs stay, and Or Lenchner: [00:37:10] You don't even need to have a strong online presence. Harpreet: [00:37:13] So we have some of Or Lenchner: [00:37:15] The largest American Harpreet: [00:37:16] Banks as customers using that. It's not that they Or Lenchner: [00:37:21] Weren't born into the Harpreet: [00:37:22] Internet and that a 100, 200 year institutions, when hundreds of Or Lenchner: [00:37:27] Thousands of employees get today, they have a dedicated Harpreet: [00:37:31] I.t. team. It needs Data. Or Lenchner: [00:37:33] Then they push it inside to different teams. That needs to get decisions to understand trends, that needs to check markets. Harpreet: [00:37:40] The only data that we have you. Very traditional. I would call in Or Lenchner: [00:37:45] Government offices like Harpreet: [00:37:46] Economic office of a Or Lenchner: [00:37:48] European country that understood that the citizens know more. Harpreet: [00:37:53] I mean, they get Or Lenchner: [00:37:54] Obstinate decisions Harpreet: [00:37:55] On on what to do Or Lenchner: [00:37:56] With them when when they're trying to. There are different [00:38:00] sectors of the Harpreet: [00:38:01] Country while learning Or Lenchner: [00:38:03] From what's actually happening in Harpreet: [00:38:05] Real time in their country. Or Lenchner: [00:38:07] So they need Data. Harpreet: [00:38:08] Everyone needs Data. Or Lenchner: [00:38:09] So I would be a bit humble and want to guess what would be the next big trend, because Harpreet: [00:38:14] I always wrong, but it's Or Lenchner: [00:38:16] Always just Harpreet: [00:38:17] Happening. The trend is Or Lenchner: [00:38:18] Amazing. Harpreet: [00:38:19] And it's not just get your Covid Or Lenchner: [00:38:21] And all of the Harpreet: [00:38:21] Digitization. It just, you know, shortened the period and make Or Lenchner: [00:38:26] Everything a lot Harpreet: [00:38:27] Faster. But it's it's everywhere. Or Lenchner: [00:38:30] Every company that wants to Harpreet: [00:38:32] Survive needs to complete their view Or Lenchner: [00:38:34] Of the world with external Data. Harpreet: [00:38:37] Yeah, I guess their predictions Harpreet: [00:38:39] Are hard, especially when they're about the future. Right. I'm wondering if you've noticed any kind of shifts or trends, you know, major shifts or trends that are happening in data collection then? Are these trends here to stay? Do you think Harpreet: [00:38:52] The trends will be changing? I don't. Asking you to predict Harpreet: [00:38:55] Again, but I would love to get your viewpoint on this. Harpreet: [00:38:58] Oh, for sure. So there is a very Or Lenchner: [00:39:01] Strong trend that it's a validated trend. Harpreet: [00:39:04] It's happening. It's not Or Lenchner: [00:39:05] Something that I think that will happen in Harpreet: [00:39:07] The future and that it can express to other just talked Or Lenchner: [00:39:10] About. Harpreet: [00:39:11] So if in previous Or Lenchner: [00:39:12] Days, let's say one, two, three, five Harpreet: [00:39:15] Years before Or Lenchner: [00:39:17] To be able to collect data, you Harpreet: [00:39:18] Had to do some more Or Lenchner: [00:39:20] Complex Harpreet: [00:39:21] Integrations even with us. Or Lenchner: [00:39:23] It wasn't always easy. Harpreet: [00:39:25] Then you had to build this skill Or Lenchner: [00:39:27] Internally to be able Harpreet: [00:39:29] To utilize this platform. Today, we see a Or Lenchner: [00:39:32] Trend Harpreet: [00:39:32] That companies that are just shifting into the data world Or Lenchner: [00:39:37] Now just got this understanding that, Harpreet: [00:39:39] Oh, I have to know what's going on in order to succeed. Or Lenchner: [00:39:42] They're not Harpreet: [00:39:43] Necessarily try to Or Lenchner: [00:39:45] Build this skill internally. Harpreet: [00:39:47] First of all, they try to see Or Lenchner: [00:39:49] If something is already existing out there, if it's a good product that you can use Harpreet: [00:39:53] Mine. If it's just buying the data without even Or Lenchner: [00:39:57] Collecting it yourself, Harpreet: [00:39:58] Even better. Or Lenchner: [00:39:59] This [00:40:00] makes everything more accessible. Harpreet: [00:40:02] And it also forces companies Or Lenchner: [00:40:04] Such as Harpreet: [00:40:04] Bright Data to be a Or Lenchner: [00:40:06] Lot more user Harpreet: [00:40:07] Friendly for Or Lenchner: [00:40:08] Non tech Harpreet: [00:40:08] Savvy potential Or Lenchner: [00:40:10] Customers that just need Harpreet: [00:40:11] A Data. They don't want to collect they don't want to Or Lenchner: [00:40:14] Hire skilled people to be Harpreet: [00:40:16] Able to do that. Just give them a Data. And that's a Or Lenchner: [00:40:18] Very positive thing. It makes us better as a Harpreet: [00:40:21] Company, but it also Or Lenchner: [00:40:22] Makes the Data even more accessible. So you don't even need Harpreet: [00:40:26] To sometimes you don't Or Lenchner: [00:40:27] Even need Harpreet: [00:40:28] To sign up to a platform to get a deal. And so Or Lenchner: [00:40:31] You don't need a Harpreet: [00:40:32] Specific skill, which is good. It's like more Or Lenchner: [00:40:35] It's a democratization of the Data. Harpreet: [00:40:38] Appreciate that. Really got a good idea here of what the company does and and the services you offer. So I encourage everyone to Harpreet: [00:40:43] Go check check out bright Harpreet: [00:40:44] Data. Harpreet: [00:40:45] And you know, you mentioned mostly Harpreet: [00:40:47] B2b, but hey, you could probably do Harpreet: [00:40:48] Something for your personal projects. Harpreet: [00:40:50] I mean, I'm sure you Harpreet: [00:40:51] Have data available for Harpreet: [00:40:54] Individuals who might want to do some personal Harpreet: [00:40:55] Projects. Just be a great Harpreet: [00:40:56] Resource to do that when I change the world with just a laptop Internet connection and some data. Right. Or Lenchner: [00:41:03] Oh, it happened before so many times already. Yeah, for sure. Harpreet: [00:41:06] What's the what's one of your you talked about one initiative there with the AFTI organization. Is there like another kind of favorite success story that you have that Harpreet: [00:41:16] You'd like to share? Or Lenchner: [00:41:17] We have a lot, but I always tend to talk about the things that makes us even a bit emotional. Because these thing still stays with you. It's not a business thing anymore. Harpreet: [00:41:29] Just know we know you're doing something good. So we had this Or Lenchner: [00:41:32] Organization in Israel Harpreet: [00:41:34] Still L.M., which Or Lenchner: [00:41:35] Are using our tools to scan huge amounts of data from social networks and forums Harpreet: [00:41:42] In order to find Or Lenchner: [00:41:44] Bullying and amusing Harpreet: [00:41:45] Behaviors, especially with teenagers. Again, these Or Lenchner: [00:41:49] Guys saved lives. They literally saved lives and stop people from taking Harpreet: [00:41:53] Their own lives. Or Lenchner: [00:41:54] And again, just think of a world that Harpreet: [00:41:57] They want and access to Or Lenchner: [00:41:58] This information, even [00:42:00] though Harpreet: [00:42:00] That it's there waiting for them. Or Lenchner: [00:42:01] So like an endless amount of other examples. But these things Harpreet: [00:42:07] Are the most Or Lenchner: [00:42:08] Important. Harpreet: [00:42:09] Super, super powerful. Harpreet: [00:42:11] Let's talk a little bit more about the bright Data DNA. Harpreet: [00:42:13] I thought, you know, take a look at it. And I was like, Harpreet: [00:42:15] This looks like a pretty awesome place Harpreet: [00:42:17] To work. And I'm wondering, are you guys currently hiring? And if so, what kind of roles or, you know, if people who are tuning in on LinkedIn or YouTube or listening on the podcast, they're interested to learn more about the company. Where can they go go apply for these overall? Or Lenchner: [00:42:31] Sure. So, first of all, I encourage everyone to read and write in a DNA spray Data dot com slash DNA. It was public since we started it. Then you can find in many companies that our company Harpreet: [00:42:44] Culture and this is basically Or Lenchner: [00:42:45] What it is, Harpreet: [00:42:46] But it's Or Lenchner: [00:42:47] You know, you've seen it. It's so detailed because we're true believers Harpreet: [00:42:52] In processes Or Lenchner: [00:42:53] And Data. So if we Harpreet: [00:42:55] Find out that we did something great, or if you find Or Lenchner: [00:42:58] Out that we did Harpreet: [00:42:59] Something very, very bad, we make sure to document it. Or Lenchner: [00:43:03] So it won't be specific. Harpreet: [00:43:05] Don't do don't build this product. It will be Or Lenchner: [00:43:09] Something a more of a process. The way that you need Harpreet: [00:43:12] To build such product Or Lenchner: [00:43:13] Is by Harpreet: [00:43:14] Doing one, two, Or Lenchner: [00:43:15] Three, Harpreet: [00:43:16] Four, five. Or Lenchner: [00:43:17] So make sure you don't do Harpreet: [00:43:19] This and that. Now, it's an Or Lenchner: [00:43:21] Extremely detailed and Harpreet: [00:43:22] Long document. Or Lenchner: [00:43:24] It's a breathing document. So a part of it a major part of Harpreet: [00:43:27] It is to make sure Or Lenchner: [00:43:29] That you are always aware that maybe you're Harpreet: [00:43:32] Completely wrong under this assumption. This this Or Lenchner: [00:43:35] Document is being changed Harpreet: [00:43:38] All the time Or Lenchner: [00:43:38] Because we were wrong sometimes. And we need to change that. We're trying to be as obsessed as possible with his DNA because it's working really well for us. And when you're growing so fast, like Harpreet: [00:43:49] We're growing, you know, in the Or Lenchner: [00:43:50] Number of employees Harpreet: [00:43:51] Globally, then Or Lenchner: [00:43:53] You don't want Harpreet: [00:43:53] A few companies Or Lenchner: [00:43:55] Inside the company. You want everyone Harpreet: [00:43:57] To be the same. Or Lenchner: [00:43:58] And it's fine. Harpreet: [00:43:58] If they can't, then it's [00:44:00] probably Or Lenchner: [00:44:00] Not the best Harpreet: [00:44:00] Fit for them. Or Lenchner: [00:44:01] So at least they can read this document before they're joining. Harpreet: [00:44:05] And to be honest with Or Lenchner: [00:44:06] Themselves and say I love it Harpreet: [00:44:08] Or not really what Or Lenchner: [00:44:09] I was looking for. Harpreet: [00:44:10] That's also important. Or Lenchner: [00:44:11] We're growing all the time. We're hiring all the time. Engineers, product managers, salespeople. Harpreet: [00:44:17] We're completely Or Lenchner: [00:44:18] Agnostic to where you are located, Harpreet: [00:44:21] Regardless Or Lenchner: [00:44:21] Of Covid. This is how we always acted. Harpreet: [00:44:24] So we Or Lenchner: [00:44:24] Have people all Harpreet: [00:44:25] Around the world, the main Or Lenchner: [00:44:27] Offices here in Israel, and we have another HQ in New York. Harpreet: [00:44:31] But we literally have people scattered Or Lenchner: [00:44:34] Around the world. Harpreet: [00:44:34] So it's we love it. Or Lenchner: [00:44:36] It's essential. And also this is just how we turn up to be. So do you want to join? Harpreet: [00:44:40] Please bring us over LinkedIn. Or Lenchner: [00:44:42] And we have some tests, some interviews. We really don't Harpreet: [00:44:46] Care where you have some guys. If you know everybody Harpreet: [00:44:49] Listening and watching, go check out the right day to day. We dig into a couple of them right now. I found it to be so cool. I feel like the audience can greatly benefit from the way you guys think over there. The first thing I Harpreet: [00:44:59] Want to talk about is the importance of Harpreet: [00:45:01] Learning by doing talk to us about about why this is an important Harpreet: [00:45:04] Part of great Data DNA. It goes Or Lenchner: [00:45:07] Back to Harpreet: [00:45:08] What I said a few minutes Or Lenchner: [00:45:09] Ago, that all of us, most of our ideas Harpreet: [00:45:12] Are just wrong. Most of our Or Lenchner: [00:45:14] Theories are just wrong. That's you know, he has two ideas every day. Most of them are just bad. Harpreet: [00:45:20] That's their reality. So we can spend like a bunch of Or Lenchner: [00:45:23] Time a week on this new amazing idea that we think we have and do market research and talk to people Harpreet: [00:45:29] And read Or Lenchner: [00:45:31] And plan and design Harpreet: [00:45:33] And then do all of these Or Lenchner: [00:45:35] Things just to release the product after actually a week as best Harpreet: [00:45:40] We can, invest a year, which is a lot in doing that. Release the Or Lenchner: [00:45:43] Product to find out that the most fundamental basic truth that most of our ideas Harpreet: [00:45:50] Are stupid was again, true. Or Lenchner: [00:45:52] And we just Harpreet: [00:45:53] Spend a year on developing a better way to do Or Lenchner: [00:45:56] That than we always try to do it. Harpreet: [00:45:58] It's hard. I'm not saying it's Or Lenchner: [00:45:59] Always [00:46:00] Harpreet: [00:46:00] Happening, but we strive to do that, Or Lenchner: [00:46:02] To just go with the most Harpreet: [00:46:04] Basic theory, release Or Lenchner: [00:46:06] It as fast as Harpreet: [00:46:07] You can, even like the same day. And we released Or Lenchner: [00:46:10] Tens, if not hundreds of new versions to all of our Harpreet: [00:46:13] Products every single day. So and Or Lenchner: [00:46:16] Then the Harpreet: [00:46:17] Data again will show you what's happening Or Lenchner: [00:46:19] If the idea was good or bad. So this is learning by doing. Harpreet: [00:46:24] And it's even true for a new employee. So you've got Or Lenchner: [00:46:27] This new position in the company you just joined or you shifted from one position to another Harpreet: [00:46:31] Position. You can spend days with your colleagues Or Lenchner: [00:46:35] And ask questions, and Harpreet: [00:46:36] Then it's OK to do that Or Lenchner: [00:46:38] Also. But you have to start working. Harpreet: [00:46:40] We like Data person and throw it to the deepest water will be patient with mistakes. Or Lenchner: [00:46:46] It's completely fine. Harpreet: [00:46:47] Just make sure to improve every day, every day. But you Or Lenchner: [00:46:50] Will always learn better, Harpreet: [00:46:52] Faster. And the end Or Lenchner: [00:46:54] Result of the product that you've built or the code that you read than on the sale or sales calls Harpreet: [00:46:59] You, that will be better Or Lenchner: [00:47:00] If you just start Harpreet: [00:47:02] A hundred percent agreement. He can always learn better by doing Harpreet: [00:47:05] On the job. Absolutely. Two other Harpreet: [00:47:07] Pieces I want to touch Harpreet: [00:47:08] On. The first one was just this framework Harpreet: [00:47:10] For prioritizing Harpreet: [00:47:11] Tasks. I thought that was duper awesome. And I think that anybody listening Harpreet: [00:47:16] Watching you check out this framework that was going to talk to us about in more detail, but I thought this was absolutely Harpreet: [00:47:21] Phenomenal. Yeah. So that's something Or Lenchner: [00:47:25] That you just need to keep Harpreet: [00:47:26] Open on a TEB. Or Lenchner: [00:47:28] And when you're working for a few Harpreet: [00:47:29] Days because it's not intuitive, but then you'll see it's magic. It's just magic. Or Lenchner: [00:47:35] So all of us knows the feeling that, oh, my God, just another day has passed and I Harpreet: [00:47:40] Didn't do the important Or Lenchner: [00:47:41] Things. Harpreet: [00:47:42] I'm just, you know, Or Lenchner: [00:47:43] Just doing and chasing bugs Harpreet: [00:47:45] And doing things that are just Or Lenchner: [00:47:47] Happening, urgent Harpreet: [00:47:48] Things. And it Or Lenchner: [00:47:49] Can be Harpreet: [00:47:49] Frustrating the way that we're Or Lenchner: [00:47:51] Trying to prioritize this. And this is mostly true, I think, in the daily routine for product managers and engineers, Harpreet: [00:47:58] But not necessarily Or Lenchner: [00:47:59] Going to Harpreet: [00:47:59] Work [00:48:00] for everyone is to just start with Or Lenchner: [00:48:02] The quick ones Harpreet: [00:48:03] First. If it's under Or Lenchner: [00:48:05] 10 minutes to do it now, and then if the Harpreet: [00:48:07] Priority is look, clean your Or Lenchner: [00:48:08] Table so you can work on the Harpreet: [00:48:10] Bigger things if Or Lenchner: [00:48:11] You have a Harpreet: [00:48:11] Bigger thing. Break it down into smaller. And then there you go. Or Lenchner: [00:48:15] You just find out two additional smaller tests to do. Harpreet: [00:48:19] And then it's it's Or Lenchner: [00:48:20] Something you need to practice in the day. We actually have real examples Harpreet: [00:48:24] Out of practice that it's working. It's easy Or Lenchner: [00:48:27] To to stop doing it after a while because, you know, Harpreet: [00:48:31] Life, Or Lenchner: [00:48:32] You know, just being Harpreet: [00:48:33] Sent to other places like it's Or Lenchner: [00:48:36] Working. We need to remind ourselves that it's working and we are able to move faster this way. Harpreet: [00:48:40] It's also Or Lenchner: [00:48:41] Very Harpreet: [00:48:42] Helpful to do that Or Lenchner: [00:48:43] In specifically Imbrie Harpreet: [00:48:45] Data, which is Or Lenchner: [00:48:46] A company with zero Harpreet: [00:48:47] Meetings. That's another thing Or Lenchner: [00:48:49] That you can find in the Harpreet: [00:48:50] Dna. We don't Or Lenchner: [00:48:51] Have meetings Harpreet: [00:48:52] In the company. Never, ever in the Or Lenchner: [00:48:54] Past, not in the future. Harpreet: [00:48:57] So then you can Or Lenchner: [00:48:58] Actually clear some time to do the actual tasks that you need to be Harpreet: [00:49:02] Doing. Or Lenchner: [00:49:02] And then everyone are moving faster, but, you know, need to make sure that it's work. You actually need to hire Harpreet: [00:49:08] The right people Or Lenchner: [00:49:09] That can Harpreet: [00:49:10] Feel good Or Lenchner: [00:49:11] With this DNA, with Harpreet: [00:49:13] These working Or Lenchner: [00:49:13] Methods. It's not for everyone. Harpreet: [00:49:15] For us, it's working. Harpreet: [00:49:16] And I've dropped a link to it right there in the LinkedIn comments for check out. Harpreet: [00:49:21] I'll also put it right there Harpreet: [00:49:22] In the show notes for you guys listening on the audience. I just got a question coming in from LinkedIn here from Harpreet: [00:49:26] Kaitlyn on LinkedIn question. Harpreet: [00:49:29] Is there a guest within the framework of government data? So how can the benefits of open data be communicated to new audiences so that government data can be combined with Harpreet: [00:49:40] Important privately owned data? Or Lenchner: [00:49:43] Ok, that's a good question. It's a very broad one. Harpreet: [00:49:46] I'll try to answer it shortly, but I have a lot to Or Lenchner: [00:49:49] Say about the journey so we can also talk Harpreet: [00:49:51] About it later Or Lenchner: [00:49:52] Usually. And this is from my Harpreet: [00:49:54] Experience of talking to Or Lenchner: [00:49:55] The relevant people in different Harpreet: [00:49:57] Governments. For example, Or Lenchner: [00:49:59] The UK government [00:50:00] Harpreet: [00:50:00] Were advising there Or Lenchner: [00:50:01] On their ND's National Harpreet: [00:50:02] Data strategy. Or Lenchner: [00:50:03] So usually Harpreet: [00:50:05] What I've learned is that Or Lenchner: [00:50:06] Governments as good at a good Harpreet: [00:50:08] Intention. They actually want to be able to share the data that they are able to share Or Lenchner: [00:50:13] And not talking about private Harpreet: [00:50:15] Data, but maybe Or Lenchner: [00:50:16] Statistics and anonymized data, Harpreet: [00:50:17] Which is far in many cases, Or Lenchner: [00:50:19] They Harpreet: [00:50:19] Just don't have an idea how to do it effectively once they Or Lenchner: [00:50:24] Realize how to do it Harpreet: [00:50:25] Effectively. Two years Or Lenchner: [00:50:26] Have passed and it's not effective anymore because two Harpreet: [00:50:29] Years. So it's difficult. Or Lenchner: [00:50:32] It was will always be difficult Harpreet: [00:50:34] For any government to move as Or Lenchner: [00:50:36] Fast Harpreet: [00:50:37] As a small commercial company, even if we're Or Lenchner: [00:50:40] Not talking about sensitive Harpreet: [00:50:41] Private information, Or Lenchner: [00:50:42] Evolution are Harpreet: [00:50:43] Talking about Or Lenchner: [00:50:45] The prices of Harpreet: [00:50:46] Something. So so that's a challenge. One way to solve it, but Or Lenchner: [00:50:50] It's not happening enough is to to use Harpreet: [00:50:54] Experts from non-government cooperation, for Or Lenchner: [00:50:58] Example. That, I guess, is what we're doing. Harpreet: [00:51:01] We're not the only one. We're a part of the group. Or Lenchner: [00:51:04] I would say if it tensorflow CEOs or just professionals, that they're helping the UK Harpreet: [00:51:10] Government to establish Or Lenchner: [00:51:12] Their national Harpreet: [00:51:13] Data strategy. So, first of all, kudos for the minister Or Lenchner: [00:51:17] And Harpreet: [00:51:17] Everyone for Or Lenchner: [00:51:19] Getting a Harpreet: [00:51:19] Decision and being able to Or Lenchner: [00:51:21] Press a Harpreet: [00:51:21] Decision that they need. And they. Data strategy, which covers Or Lenchner: [00:51:26] Private Data public Harpreet: [00:51:27] Data how to collect Or Lenchner: [00:51:28] Them, all Harpreet: [00:51:29] Of this is Covid, and it's even more Or Lenchner: [00:51:33] They have even Harpreet: [00:51:34] More respect to Or Lenchner: [00:51:36] The UK government for asking for help from AIs from many others, but not Harpreet: [00:51:41] Just say this is you've been Or Lenchner: [00:51:42] Doing it longer than us, you're faster. We know more about how it works. Harpreet: [00:51:47] Help us. And it was Or Lenchner: [00:51:48] Amazing to see Harpreet: [00:51:49] How many companies the UK, you know, relationship were owned by a UK private equity firm. Just jump in. No know. We were nothing just wanting to Or Lenchner: [00:51:59] Help [00:52:00] because understanding that if the government in this specific case, the UK government Harpreet: [00:52:04] Will be able to Or Lenchner: [00:52:05] Do it the right Harpreet: [00:52:06] Way, it will Or Lenchner: [00:52:07] Benefit everyone, the Harpreet: [00:52:08] Whole society. I hope I Harpreet: [00:52:10] Absolutely loved it. I didn't know UK was ruling out a Data strategy for the entire country. I think that's amazing. That's that's a huge leap forward. Do you know of any other countries that are kind of doing something similar to this, or are they kind of Harpreet: [00:52:20] Pioneers in that in that mindset? Not thinking that there are Or Lenchner: [00:52:23] A few, but the problem is Harpreet: [00:52:25] That everyone Or Lenchner: [00:52:27] Are Harpreet: [00:52:27] Intuitively being Or Lenchner: [00:52:29] Drawn into private debt. That's old news. You have a GDP or you have CCPOA. You have this Harpreet: [00:52:37] Great regulation may be hard sometimes, Or Lenchner: [00:52:39] But at least you know what's good and what's Harpreet: [00:52:41] Wrong. And that's Or Lenchner: [00:52:42] Still what everyone is talking Harpreet: [00:52:44] About. The UK government Or Lenchner: [00:52:45] Just took it to the next level. They realized that it's not just death, Harpreet: [00:52:49] And that's pretty much Covid already or always room Or Lenchner: [00:52:52] For improvement, Harpreet: [00:52:53] But pretty much Covid. And they Or Lenchner: [00:52:54] Established the NPT's national Data Harpreet: [00:52:56] Strategy. Or Lenchner: [00:52:57] I encourage everyone to read the white papers and everything. Harpreet: [00:53:00] It's really mind blowing Or Lenchner: [00:53:02] To see that, you know, Harpreet: [00:53:03] If if you have Or Lenchner: [00:53:04] Motivation as the Harpreet: [00:53:06] Government, you can make things Or Lenchner: [00:53:07] Happen. And it's not easy. It's not easy. But also asking for help and advice is something that you have to respect. Harpreet: [00:53:14] Next question here is Harpreet: [00:53:15] Off the top of my head, kind of weird and half Harpreet: [00:53:17] Baked. You mentioned GDP or Harpreet: [00:53:20] Her private Harpreet: [00:53:20] Personal Data. Harpreet: [00:53:21] Would you think it would it would Harpreet: [00:53:23] Ever happen would ever be the Harpreet: [00:53:24] Case that we have Harpreet: [00:53:26] Something similar to GDP, but where Harpreet: [00:53:28] Does that make sense, that question completely? Or Lenchner: [00:53:31] So the answer is for sure. Harpreet: [00:53:34] There is Or Lenchner: [00:53:34] No chance in Harpreet: [00:53:35] The world that we won't Or Lenchner: [00:53:36] Have regulation one day for what I was talking about Harpreet: [00:53:41] This, our Web data collection. We're asking for it. The industry is asking for it until it won't happen. Or Lenchner: [00:53:47] And we're doing it ourselves, at least for us. And we're sharing Harpreet: [00:53:50] Everything with the industry and we're hoping that Or Lenchner: [00:53:52] Others will follow. Harpreet: [00:53:53] But it will happen. And, you know, we Or Lenchner: [00:53:55] Saw it's like a cycle that you see you can see in every [00:54:00] new trending industry in technology that it's obvious that it's here to stay Harpreet: [00:54:05] Late. But with Data, it will happen. Or Lenchner: [00:54:08] It takes Harpreet: [00:54:08] Time. Or Lenchner: [00:54:09] The most important thing is to that someone we Harpreet: [00:54:12] Know just say Or Lenchner: [00:54:13] We're going to regulate it. Harpreet: [00:54:15] It will immediately make have an impact Or Lenchner: [00:54:17] On the industry and positively impact, even if nothing will happen for the next week. And we're really trying to make it happen. Harpreet: [00:54:26] We're talking to everyone, Or Lenchner: [00:54:27] Everyone who's Harpreet: [00:54:28] Willing to do this, but for sure it will help. We'll do a Harpreet: [00:54:31] Last question before we jump into the random round and the random round. I've got just random questions, Harpreet: [00:54:36] Random question generator. And then Harpreet: [00:54:38] Definitely you guys in the audience have questions Harpreet: [00:54:40] Or around public Harpreet: [00:54:42] Data collection of public data or anything that we've discussed over the last hour. We can take those in the random round as well. But here's the the last question before Harpreet: [00:54:51] We jump into the random round. It is one hundred Harpreet: [00:54:54] Years in the Harpreet: [00:54:55] Future. What do you want to be remembered for? The Data story as brai Data the word Data company like that. I like that. Why? Or Lenchner: [00:55:05] Why are we Harpreet: [00:55:05] Even talking about remember, the company might even Or Lenchner: [00:55:09] Still going to be here, then it's just going to grow. Harpreet: [00:55:11] Exactly. I get is not going anywhere, and neither is data science or data engineering or data analysis, like data is then going nowhere. Harpreet: [00:55:20] It is the new water. It's everywhere. And we will buy all you can drink oil. Harpreet: [00:55:24] I've never tried to drink oil, but. Or Lenchner: [00:55:26] Exactly. Harpreet: [00:55:27] And don't try. Okay, so first question Harpreet: [00:55:30] Coming up around Harpreet: [00:55:30] Around here. Kind of a fun one. When do you think the first Harpreet: [00:55:34] Video to hit one trillion views on YouTube Harpreet: [00:55:37] Will happen? And what will Harpreet: [00:55:39] That video be about? Or Lenchner: [00:55:41] Oh, wow. Harpreet: [00:55:41] So let me answer what this video is going to be about the time frame. I'm not sure, but Or Lenchner: [00:55:48] I have two little Harpreet: [00:55:49] Ones, and I'm Or Lenchner: [00:55:50] Completely positive that the first video on YouTube that will hit when you say one trillion, one Harpreet: [00:55:56] Trillion year is going to be baby Or Lenchner: [00:55:58] Shark. My [00:56:00] kids are responsible Harpreet: [00:56:02] Probably for two Or Lenchner: [00:56:04] Billion of these children. You know, Harpreet: [00:56:07] I've got a he's about Harpreet: [00:56:09] 14, 15 months old right now. My first son and I haven't introduced them to baby shark yet. I've been like deliberately staying away from doing. Or Lenchner: [00:56:16] Don't do it. I just mentioned it right now, and I know that I'm going to like the next two days. Having it stuck in my head. Yes. Harpreet: [00:56:27] So what's your favorite question to ask a candidate Harpreet: [00:56:31] During a Harpreet: [00:56:31] Job interview Harpreet: [00:56:32] And why? Great line. Or Lenchner: [00:56:34] So actually, it's not a question. Harpreet: [00:56:36] It's a request. Or Lenchner: [00:56:37] And it's always Harpreet: [00:56:38] Show me a product you've been working on. Or Lenchner: [00:56:41] That's it covers everything. Obviously, it covers product managers. And then it's a very usually it's becoming Harpreet: [00:56:47] A very deep, Or Lenchner: [00:56:48] Intelligent discussion, which I also Harpreet: [00:56:50] Enjoy. But it also covers sales. So, you know, if you you've Or Lenchner: [00:56:54] Been a salesman and Harpreet: [00:56:55] Going to you want to join Or Lenchner: [00:56:56] The company, Harpreet: [00:56:56] The salesman, you still worked Or Lenchner: [00:56:57] On a product. Harpreet: [00:56:58] You just you didn't build it. You sold it. So we need to understand what he does. All right. And you need Or Lenchner: [00:57:03] To be able to Harpreet: [00:57:03] Explain to me and if Or Lenchner: [00:57:05] You're an Harpreet: [00:57:05] Engineer, you wrote Or Lenchner: [00:57:06] The code on the product so we can talk a bit about code and why you chose to write this way and that way Harpreet: [00:57:11] Where you had issues. So it always Or Lenchner: [00:57:13] Starts to Harpreet: [00:57:14] Show me a product that you work. I love that because you don't need to Harpreet: [00:57:18] Prepare for that if you've done the project and the work is about at Harpreet: [00:57:22] Great length. And you can and Or Lenchner: [00:57:24] It's not a tricky question. Harpreet: [00:57:25] I mean, you should know your stuff. Or Lenchner: [00:57:27] And if not, it's a great interview. I know that you don't know your stuff, but it's also positive. Harpreet: [00:57:32] Yeah, exactly. So another follow up question coming in from the audience here around that same person. Since there are thousands Harpreet: [00:57:40] Of different Harpreet: [00:57:40] Organizations involved Harpreet: [00:57:42] In the data collection Harpreet: [00:57:43] Process and most of it is manually entered, the quality and consistency of this Harpreet: [00:57:48] Data is poor. What are your Harpreet: [00:57:50] Thoughts? How can we improve this? Or Lenchner: [00:57:52] Well, exactly. Harpreet: [00:57:53] And the quality Or Lenchner: [00:57:55] Is poor because it's Penuel. Harpreet: [00:57:57] If you build a good machine, it will do [00:58:00] Or Lenchner: [00:58:00] The same Harpreet: [00:58:00] Amazing job over Or Lenchner: [00:58:02] And over and over and Harpreet: [00:58:03] Over again. And then you'll have amazing quality. First of all, I agree. Or Lenchner: [00:58:07] I'm happy to say Harpreet: [00:58:08] That we are helping Or Lenchner: [00:58:10] To solve the quality Harpreet: [00:58:11] Issue, although only in the aspect of collecting Or Lenchner: [00:58:15] The raw data so we can make sure that the customer organization Harpreet: [00:58:19] Will get validated, Or Lenchner: [00:58:20] Qualified, structured data Harpreet: [00:58:23] That he can then use. There are Or Lenchner: [00:58:25] Many, many, Harpreet: [00:58:26] Many things that can go Or Lenchner: [00:58:27] Wrong, just so you know, you need to have the data science to Harpreet: [00:58:30] Prepare Data and just Or Lenchner: [00:58:31] Preparing it for your other platforms Harpreet: [00:58:34] That needs to use. Then you need Or Lenchner: [00:58:36] To be able to put it in the Harpreet: [00:58:39] Other platform, visualize Or Lenchner: [00:58:41] Data or Harpreet: [00:58:41] Data inside out of it, and make sure Or Lenchner: [00:58:44] That you even ask the Harpreet: [00:58:45] Right question. So there are Or Lenchner: [00:58:46] So many things that can go wrong, but Harpreet: [00:58:48] This is the Or Lenchner: [00:58:49] Opportunity to join Harpreet: [00:58:51] The Data Or Lenchner: [00:58:52] Industry is even more interesting. There are so many problems to solve there. Harpreet: [00:58:57] So I completely Or Lenchner: [00:58:58] Agree. And I think that we're doing a very good job in solving the Harpreet: [00:59:01] Data collection process. Or Lenchner: [00:59:03] Also, in terms of quality and Harpreet: [00:59:05] Validation of the data, you see Harpreet: [00:59:06] Kind of Harpreet: [00:59:07] I mean, because you can never really Harpreet: [00:59:09] Tell what jobs the future may hold. Right. But especially as we move towards this distant era where data is just becoming ubiquitous. Harpreet: [00:59:16] It's everywhere now. Do you see Harpreet: [00:59:18] Companies having to hire people whose primary role is about the Harpreet: [00:59:21] Curation and acquisition Harpreet: [00:59:24] Of Data, like role Harpreet: [00:59:25] Specific to to that type of work? Yes, it's happening already. Or Lenchner: [00:59:29] Usually that is from what we're seeing, Harpreet: [00:59:31] It's already skilled people. It's not a junior position because, you know, Or Lenchner: [00:59:36] Sometimes it's better to have Harpreet: [00:59:37] No data than to have Or Lenchner: [00:59:39] Bent data. So usually should invest in the right employee with the right experience. Harpreet: [00:59:43] Because, you Or Lenchner: [00:59:44] Know, if you just bring someone junior Harpreet: [00:59:46] To do the Or Lenchner: [00:59:46] Data acquisition for Harpreet: [00:59:47] You, you're risking to get the wrong decision for the company, Or Lenchner: [00:59:51] Which can be Harpreet: [00:59:52] Devastating. So it's already Or Lenchner: [00:59:53] Happened. But generally speaking, Harpreet: [00:59:55] Every position with Data in the title is just Or Lenchner: [00:59:59] Booming right now. [01:00:00] Harpreet: [01:00:00] Another question coming in from the audience here. I think this person might have taken a look at your company DNA. They want Harpreet: [01:00:05] To know strategic thinking, the teacher planning, strategic learning, which is Harpreet: [01:00:09] Most important for you and why? Or Lenchner: [01:00:11] Actually, I'm not sure they've looked at the DNA because we try to avoid strategic things Harpreet: [01:00:16] For the same reason that no, we need to be a bit humble. We're not going to Or Lenchner: [01:00:21] We don't know how the future's going to look. Harpreet: [01:00:24] We are always the best Or Lenchner: [01:00:26] Part of the DNA is actually the Harpreet: [01:00:27] Complete opposite. It talks about Or Lenchner: [01:00:29] Moving in the Harpreet: [01:00:30] Smallest iterations possible. Or Lenchner: [01:00:33] First of all, you move fast. Second is you make sure that you always doing the right thing because it's a lot Harpreet: [01:00:39] Easier to try and think what tomorrow will bring than what Or Lenchner: [01:00:44] Will happen in the next five years in the fintech industry and so on. So we need to do both, but we need to invest that this year. We are investing a lot Harpreet: [01:00:51] More in tomorrow, not Or Lenchner: [01:00:53] In the next five years. So we're not strong in strategic planning because this Harpreet: [01:00:57] Is how we think Or Lenchner: [01:00:59] It's better for us to Harpreet: [01:01:00] Work. Or Lenchner: [01:01:00] It also makes it easier to build the right product for the same reason. I'm just trying to solve today's problems and then make it a bit better because we're already experienced so we can kind of guess what's going to Harpreet: [01:01:11] Happen in the future. But like 80 Or Lenchner: [01:01:14] Percent of what we're doing should solve Harpreet: [01:01:16] Today's problem. We want to Or Lenchner: [01:01:17] Bring the Harpreet: [01:01:18] Value to our customers today. Harpreet: [01:01:21] Yeah. Like there a lot continuos. Round and round it, we could take another couple of questions, or, if you don't mind, if they come in through the audience, I'm sure you guys do have questions coming in from the audience. Do let us know. But we'll continue on the random round here. One of my favorite questions to ask how I get my library fully stocked. Harpreet: [01:01:36] What are you currently reading? I'm completely Or Lenchner: [01:01:38] Biased right now because I'm reading my Harpreet: [01:01:40] Sister's second Or Lenchner: [01:01:41] Book. Harpreet: [01:01:42] So, yeah, I just started I finished Or Lenchner: [01:01:45] Her first book a while ago and just started a second one. So I Harpreet: [01:01:49] Can't even share enough Or Lenchner: [01:01:51] Insights Harpreet: [01:01:51] On it. But my Or Lenchner: [01:01:52] Sister is a writer, so it's it Harpreet: [01:01:54] Is in Hebrew. Or Lenchner: [01:01:56] Obviously, it wasn't translated, but I enjoyed it a lot. Generally speaking, [01:02:00] I kind of move a Harpreet: [01:02:02] As a year ago. Or Lenchner: [01:02:03] I'm still reading, doing less than reading. Harpreet: [01:02:05] So it's just a fiction writer. Non fiction Harpreet: [01:02:07] Writer. I would cry. I mean, it's a Or Lenchner: [01:02:11] Roman, but I will call it like more of a nostalgic read. So you just read the books Harpreet: [01:02:16] And you need to stop because it takes you back Or Lenchner: [01:02:19] In time and you just imagine things that happens to you in your own life is great. Harpreet: [01:02:24] What song Harpreet: [01:02:26] You currently have on Harpreet: [01:02:27] Repeat? Apart from baby shart? Oh, yes. Or Lenchner: [01:02:31] My bigger son is learning how to use my Spotify. Harpreet: [01:02:33] So that's again, a cheeky question. Or Lenchner: [01:02:36] It's probably some kittson. Probably the last one, again, is not a song, Harpreet: [01:02:40] Is a podcast. I'm bringing Or Lenchner: [01:02:42] A podcast Harpreet: [01:02:43] Right now, and it sounds Or Lenchner: [01:02:45] Very boring, but that's going to be what I wanted to hear. It's about Harpreet: [01:02:49] Taxonomy of Or Lenchner: [01:02:50] Plants and animals. Harpreet: [01:02:52] That's interesting. Sorry about that. Harpreet: [01:02:54] No, that's really fascinating. Harpreet: [01:02:56] That's cool, man. Harpreet: [01:02:57] It's always Harpreet: [01:02:58] Good to have interests that are unrelated Harpreet: [01:03:00] To I mean, no, I don't think taxonomy would be unrelated to Data. Harpreet: [01:03:04] I mean, it is. Or Lenchner: [01:03:05] Oh, it is. I just took it to Harpreet: [01:03:07] Biology this time. Harpreet: [01:03:08] Yeah, that's interesting. Let's go ahead. And this opened up. My favorite part is the random question generated. This will be a lot of fun here. So let's do it. Or Lenchner: [01:03:17] Come on. You got me the next question. Harpreet: [01:03:19] This one questions if you had to change your name. Harpreet: [01:03:22] What would you change it to Or Lenchner: [01:03:25] Something else or delight in it? Harpreet: [01:03:27] I love it. The Punjabi version of or like in my language would be here in. Oh, yeah, here in Cairo. And here in that be late in Punjabi. Or Lenchner: [01:03:39] Dun dun Harpreet: [01:03:40] Dun dun. And it's mine. Harpreet: [01:03:43] What's the story behind one of your scars? Or Lenchner: [01:03:46] So one hundred percent of my scars and I Harpreet: [01:03:48] Have a few are Or Lenchner: [01:03:50] From surfing. Harpreet: [01:03:51] Easy, just easy. Or Lenchner: [01:03:53] But basically it's every time is the same thing. So falling and not in the right way. Hitting a surfboard, hitting another [01:04:00] surf or ending or something like that, I haven't learned much. Harpreet: [01:04:04] What issue will you always speak Harpreet: [01:04:05] Your mind about? Always. That's a hard one. I want to say Or Lenchner: [01:04:10] Efficiency assessment that you can find a lot of it in our DNA. This is why I like this so much when I joined. I can be annoying Harpreet: [01:04:18] Sometimes the strangest to Or Lenchner: [01:04:20] Annoying people, how they can do something more efficient, sometimes completely Harpreet: [01:04:24] Wrong. Let's do one more from here. What's the Harpreet: [01:04:27] Best piece of advice you've ever Harpreet: [01:04:29] Received? Getting back to it over and over again. Most of your ideas are stupid, which means that you just need to try and Or Lenchner: [01:04:38] Execute them Harpreet: [01:04:39] Best. Or Lenchner: [01:04:40] It's a win win. Harpreet: [01:04:42] Is this true? I come up Harpreet: [01:04:44] With a really horrible idea. Or Lenchner: [01:04:45] Yeah. So just try to execute it Harpreet: [01:04:47] Faster than Or Lenchner: [01:04:48] Win. Harpreet: [01:04:49] You'll win if you never Or Lenchner: [01:04:50] Succeed, and you'll fail faster if they won't. Harpreet: [01:04:52] So it's a win win. Or how can Harpreet: [01:04:54] People connect with you and where can they find you Harpreet: [01:04:56] Online? Obviously, LinkedIn Or Lenchner: [01:04:57] Always is available, even if it takes me Harpreet: [01:04:59] A day or two. So over LinkedIn is my name, Twitter at Or Lenchner: [01:05:04] Or Lynch or Ahly and Harpreet: [01:05:06] S.h. and email Or Lenchner: [01:05:08] Or at Harpreet: [01:05:09] Brai Data dot com. Those are you turning Harpreet: [01:05:12] It on LinkedIn. Harpreet: [01:05:12] I've tagged or in the comments. Harpreet: [01:05:14] Go and give him a follow or thank you so much for taking time and is scheduled to come out. I really appreciate Harpreet: [01:05:20] Having you here. Thanks for having Or Lenchner: [01:05:22] Me. It was truly a pleasure. Harpreet: [01:05:23] My friends, remember, you've got one life on this planet. Why not try do something big? Here's everynight.