Learn How to Use Publicly Available Web Data | Or Lenchner

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.