Rupesh Malpani on on AI, Commerce, and Holograms

In this 300th episode of Data Driven and the premiere episode of season six, Frank and Andy interview Rupesh Malpani, whom Frank often refers to as the next Steve Jobs. 

Listen to this interesting conversation to find out why.

AI Generated Transcript

Audio file 

rupesh mix file_mixdown.mp3 

Transcript 

00:00:00 BAILeY 

Hello everyone Bailey here. I am quite excited to be back in the studio today to announce not only the 300th episode of data-driven but also the premiere episode of Season 6. 

00:00:11 BAILeY 

In this episode, Frank and Andy interview Rupesh Malpani, whom Frank often refers to as the next Steve Jobs. 

00:00:18 BAILeY 

Listen to this interesting conversation to find out why, but before that I want to sincerely thank you our listeners. 

00:00:25 BAILeY 

For keeping the faith in us over these last five years. 

00:00:29 BAILeY 

I know that I only joined the team in season 4 and that’s when things really got brilliant. 

00:00:34 BAILeY 

Not to confuse correlation and causation, but I just thought I would bring it up enough of me banging on about myself. 

00:00:41 BAILeY 

Here is our chat with Rupesh. 

00:00:43 Frank 

Second, alright, hello and welcome back to data-driven. The podcast where we explore the emerging fields of data science, machine learning and artificial. 

00:00:58 Frank 

My name is Frank Lavigna and I’m your host along with Andy Leonard the UM. 

00:01:04 Frank 

So with me on. 

00:01:05 Frank 

This epic it’s been so long since we recorded I actually. 

00:01:08 Andy 

I know. 

00:01:08 Frank 

Looked at the whole like, that’s OK. 

00:01:10 Frank 

Nation superhighway thing, but that’s. 

00:01:11 Frank 

OK, ’cause this is season 6. 

00:01:14 Frank 

Show number 300. How you doing Andy? 

00:01:18 Andy 

You know, Frank. 

00:01:19 Andy 

I’m a little under the weather. 

00:01:20 Andy 

Uhm, I am not sure why. 

00:01:24 Andy 

I got a pretty good guy. 

00:01:28 Andy 

And and maybe you do too, but other than that I’m I’m doing OK. 

00:01:33 Frank 

That’s good, that’s good if you see me. 

00:01:34 Andy 

How about you Frank? 

00:01:35 Andy 

How are you? 

00:01:36 Frank 

If you see me reaching. 

00:01:37 Frank 

For the water, it’s because. 

00:01:40 Frank 

I grabbed the when I was brushing my teeth this morning. 

00:01:43 Frank 

I grabbed an anti itch cream. 

00:01:46 Frank 

Instead of toothpaste, which is something that only I thought would happen in like TV. 

00:01:49 Rupesh 

Here is. 

00:01:50 

Yeah, yeah. 

00:01:52 Frank 

But no, it happened to me. 

00:01:53 Frank 

I looked it up online at you wash my. 

00:01:56 Frank 

I’m not going to die. 

00:01:57 Frank 

I might get into like. 

00:01:58 Frank 

Super thirsty, which I am, and I have this huge. 

00:02:00 Frank 

If you’re watching the video. 

00:02:02 Frank 

I have this huge cup here. 

00:02:05 Andy 

So I have to ask you, Frank, do your teeth inch. 

00:02:09 Frank 

They don’t anymore. 

00:02:10 Frank 

They weren’t before, so I looked it up. 

00:02:11 Andy 

There we go. 

00:02:14 Frank 

I won’t die like I was rinsing my mouth. 

00:02:16 Frank 

Out for five minutes he’s. 

00:02:17 Frank 

Confident, but be careful folks. 

00:02:20 Frank 

Careful folks. 

00:02:21 Frank 

So for those that don’t know, I’ve I’ve kind of mentioned this on live feeds. 

00:02:25 Frank 

And a couple of. 

00:02:25 Frank 

Data points here and here. 

00:02:26 Frank 

I moved. 

00:02:27 Frank 

And if you’re watching, I’m in the new house. 

00:02:29 Frank 

I moved probably about an hour. 

00:02:31 Frank 

North of where I. 

00:02:32 Frank 

Used to live, so I guess technically. 

00:02:33 Frank 

I’m in the Baltimore suburbs. 

00:02:36 Frank 

But I I still consider myself living living in the DC area. 

00:02:40 Frank 

We didn’t really plan on moving. 

00:02:42 Frank 

It was kind of like one of those things where it just just kind of happened almost if it was divinely inspired, I don’t know. 

00:02:51 Frank 

That’s not for me to say, but we bought a house. 

00:02:54 Frank 

We got a house in this crazy market. 

00:02:55 Frank 

We’re working on selling the old. 

00:02:58 Frank 

So I’m happy about. 

00:02:59 Frank 

That, but I’m super happy to do. 

00:03:01 Frank 

I’m sorry what. 

00:03:03 Rupesh 

Your setup does look different. 

00:03:05 Frank 

Yeah, yeah, it’s all fancy now so I’m I’m excited today for show 300 and. 

00:03:12 Frank 

Uh, this kickoff of season 6 to have Rupesh Malpani who I like to call him on a lot of my life. 

00:03:19 Frank 

If you’ve seen my live feeds, you probably have seen him comment a lot, but I like to call him as in kind of the next Steve Jobs because he does some amazing things. 

00:03:28 Frank 

He’s very innovative type of guy and I think he had me on his podcast about a year ago. 

00:03:34 Frank 

With Alberto and I forget Alberto’s last name. Alberto Roden. 

00:03:39 Rupesh 

Yes it is. 

00:03:39 

I think. 

00:03:40 Frank 

Yeah, and so welcome to the show we finally have you on. 

00:03:44 Frank 

How’s it going? 

00:03:45 Rupesh 

Hi guys, looking forward to talking to you. 

00:03:49 Rupesh 

I’m kind of site, you know, because like we’re gonna talk about Metaverse AI and whatnot, whatnot hope. 

00:03:56 Frank 

Sure, we could talk about whatever you want. 

00:03:57 Frank 

’cause I know you’ve done some interesting things. 

00:03:59 Frank 

Although your video is frozen and it’s been one of those things, it’s been one of those technical. 

00:04:03 

OK, I’m not moving. 

00:04:04 Frank 

Gets you caught up. 

00:04:06 Frank 

You caught your good. 

00:04:08 Rupesh 

Yeah, come on, we’re talking across the globe. 

00:04:11 Rupesh 

This is bound to happen. 

00:04:12 Frank 

That’s right, you’re based. 

00:04:13 Frank 

In India, and I believe it’s a, is it poonoor P? 

00:04:16 Rupesh 

Today, this pruning. 

00:04:18 Frank 

Pruning OK, so neither so got it, and I believe that’s where Satya. 

00:04:22 Frank 

Nadella is from if? 

00:04:24 Frank 

If memory serves, I think he’s from that area. 

00:04:26 Rupesh 

No, he’s from Hyderabad. 

00:04:28 Rupesh 

I guess he’s from state. 

00:04:30 

I’m here. 

00:04:31 Frank 

OK, somebody told me he was some pun, but they’re probably pulling my leg. 

00:04:36 Rupesh 

I didn’t. 

00:04:38 Frank 

So so you have you have a. 

00:04:40 Frank 

Number of entrepreneurial activities going on. 

00:04:43 Frank 

So first is pick or pick C. 

00:04:47 Rupesh 

Yes, so pyxes a product which we are building at pick. 

00:04:51 Rupesh 

It is basically a machine learning data set camera too. 

00:04:56 Rupesh 

Very easy to make datasets on Android like. 

00:05:03 Rupesh 

Completely learn and try machine learning without having to code a single line script. 

00:05:10 Rupesh 

Using Pixie and Microsoft lobe. 

00:05:13 Rupesh 

You just make datasets, download them into Loeb and Loeb processes. 

00:05:19 Frank 

That’s amazing. 

00:05:21 Frank 

That’s amazing, so when we when you first met you were doing something with the shopping carts that are common across India. 

00:05:23 Rupesh 

That’s why I. 

00:05:23 Rupesh 

Was like this. 

00:05:29 Frank 

Are you still doing that or or? 

00:05:30 Rupesh 

Yes yes yes. 

00:05:32 Rupesh 

So Pixie is one of the interfaces we are building for that. 

00:05:36 Rupesh 

So like essentially we are building a robotic kiosk. 

00:05:41 Rupesh 

Of sorts you know which would have a AI helper in that kiosk. 

00:05:48 Rupesh 

Because from what I have seen, we tend to use here for only smart people know how to utilize. 

00:05:55 Rupesh 

Well, you know. 

00:05:56 Rupesh 

And like smart by smart people here I mean people who. 

00:06:00 Rupesh 

Are good with tech. 

00:06:01 

Right? 

00:06:01 Rupesh 

People who are in. 

00:06:04 Rupesh 

I have to kind of how? 

00:06:06 Rupesh 

Do I say this? 

00:06:07 Rupesh 

It’s tough for. 

00:06:07 Rupesh 

Them so we are building a easier way for them to use tech in which we are going to build a IoT solution. 

00:06:15 Rupesh 

There is going to be a machine learning solution which would help them manage their business and trying to kind of build it decentralized without using traditional blockchain. 

00:06:26 Rupesh 

So let’s see. 

00:06:28 Frank 

Interesting, interesting because it’s one of those things where when you showed me your original pitch deck almost a year ago, I was like wow, this guy is thinking like big. 

00:06:40 Frank 

And there’s a lot of these carts in India, so for those not familiar with this type of formal commerce, you were telling me about it. 

00:06:47 Frank 

Like so, a lot of villages and stuff, they have the, they’re they’re, they’re like carts where you can buy soda. 

00:06:55 Rupesh 

So like it’s like a hot. 

00:06:57 Rupesh 

Dog stand in New York. 

00:06:59 Frank 

OK. 

00:07:01 Rupesh 

Got it like a kiosk model for business where a lot of FMCG. 

00:07:06 Rupesh 

Goods are sold. 

00:07:08 Rupesh 

So it is having literally a store on every cross section. 

00:07:16 Rupesh 

That’s kind of good. 

00:07:19 Frank 

Very cool and and and I think you’re right. 

00:07:21 Frank 

A lot of these folks there that operate these stores. 

00:07:23 Frank 

They’re not going to be AI or data scientist type people, and you know to have tools for them to be. 

00:07:29 Frank 

Able to use it. 

00:07:32 Frank 

In uh, in a low code, no code kind of way. 

00:07:37 Frank 

Is very cool. 

00:07:39 Rupesh 

Local new code is far. 

00:07:41 Rupesh 

Here the problem is these guys have to get to a diary first. 

00:07:47 Rupesh 

Like right now these guys use tips of paper across every day, which they end up using and they have all the daily invoicing and daily accounting on that and that sheet of paper. 

00:07:58 Rupesh 

Just gets lost, right? 

00:08:02 Rupesh 

It’s that bad. 

00:08:06 Andy 

Well, you mentioned yet you’re looking for an alternative to blockchain or how are you solving that problem? 

00:08:13 Rupesh 

So I mean blockchain with respect to systems architecture, not the crypto framework of fintech like the nature of design decentralized where we don’t collect user data but. 

00:08:31 Rupesh 

Which can help you shop and sell stuff using. 

00:08:37 Rupesh 

And yeah, essentially, on which we don’t collect user data, we kind of educate our users to collect the data and. 

00:08:46 Rupesh 

Process it so it’s. 

00:08:47 

Right? 

00:08:48 Rupesh 

Kind of like building an AI on every phone, and the user is going to build pieces of it by themselves and we are just. 

00:08:56 Rupesh 

Shipping a Lego block. 

00:08:57 Rupesh 

Slim framework 

00:08:59 Andy 

For now. 

00:09:04 Rupesh 

So and and. 

00:09:07 Rupesh 

And to even make this more fun kind of thinking, to add holograms to. 

00:09:12 Rupesh 

The mix you. 

00:09:12 Rupesh 

Know like yeah. 

00:09:13 Frank 

Yeah, you were telling me something so so he was we we spoke, I think. 

00:09:18 Frank 

Last week and. 

00:09:18 Frank 

That was just about when I was we’re also. 

00:09:22 Frank 

Reworking our calendaring system because the calendaring system has been a challenge because for a while I was at this House in the old House, and. 

00:09:29 Frank 

You know, Long story short, we we we a calendaring system wasn’t working right ’cause I’m pretty busy guy now at Red Hat and and he’s pretty busy. 

00:09:39 Frank 

So we switched to Microsoft booking, so I was troubleshooting that and then he said like we were talking. 

00:09:44 Frank 

Somehow we were chatting on on LinkedIn or Instagram and you’re like Oh no. 

00:09:49 Frank 

Holograms are super easy. I’m like, uhm, OK, that’s news to me. And then you showed me something you had done with a uh, like a four or 404,000 lumen projector or something like that. 

00:10:01 Rupesh 

I have the projector right there, you know, like I kept it for the podcast because we were gonna talk about this. 

00:10:07 Rupesh 

I knew that. 

00:10:08 Rupesh 

So like it was not even 4000 lumens projected. I tried that out on a 3000 lumen projector and I found a $4000 projector would be better. That’s why I suggested that to Frank. 

00:10:22 Frank 

That’s cool, that’s cool. 

00:10:23 Frank 

It’s it’s, it’s, uh, he showed me like a demo video. 

00:10:27 Frank 

They did it, it it it it is interesting and I think that I think it’s one of. 

00:10:32 Frank 

Those things where. 

00:10:34 Frank 

You know there’s a lot of talk about Metaverse. 

00:10:36 Frank 

Andy and I are in the early stages of launching a A third podcast on Metaverse and kind of all. 

00:10:43 Frank 

Things web 3.0. 

00:10:44 Frank 

So, but I think regardless of what Web 3.0 is going to look like or have or be constitute data is going to be a big part of that. 

00:10:54 Frank 

And AI is going to be a big part of that, so I think I think that you know data has become from. 

00:11:00 Frank 

I was on a call literally just before this recording, when data. 

00:11:04 Frank 

Historically, it’s been one of those things where businesses had to collect for transactional reasons for regulatory. 

00:11:09 Frank 

Reasons all sorts of reasons, but over the last decade or so they realize that there’s value there. 

00:11:17 Frank 

And that the value is is increasing in terms of the amount of data that. 

00:11:22 Frank 

We can collect. 

00:11:24 Frank 

And if you’re not, I see poor Andy is like coughing, ’cause if you’re not watching the. 

00:11:29 Frank 

Video thank you. 

00:11:29 Rupesh 

I hope he gets well soon. 

00:11:31 Frank 

I hope he gets better too, but I do. 

00:11:33 Frank 

Appreciate that you know the show. 

00:11:35 Frank 

Must go on, right? 

00:11:36 Frank 

Uhm, but no. 

00:11:39 Frank 

And and you know, a lot of people. 

00:11:41 Frank 

They asked me ’cause if you look at my LinkedIn description it says something about a quantum developer. 

00:11:46 Frank 

AI engineer and aspiring quantum wilbar trying to make his way in the metaverse and they’re like, well, you’re tying a lot of buzzwords there. 

00:11:51 Frank 

And yes, this I. 

00:11:53 Frank 

Am both words are connected I do. 

00:11:55 Frank 

Feel that this is. 

00:11:56 Frank 

This is a a grand unified theory. 

00:11:59 Frank 

If you will of kind of what the future of commerce is going to be, you know, are we always going to be innocuous? 

00:12:06 Frank 

Rift type devices no, but you know are we going to be doing more and more of virtually and online? 

00:12:14 Frank 

Yeah, I mean. 

00:12:15 Frank 

We kind of learned the last two years how important that. 

00:12:17 Frank 

It I mean. 

00:12:18 Frank 

You know we’re complaining about this. 

00:12:20 Frank 

Think about this like. 

00:12:22 Frank 

From kind of a historical perspective, we’re complaining about blocky video and sometimes dropping your video a few frames. You’re in India and Andy and I are in the East Coast of EU. 

00:12:32 Frank 

S and you know I’m outside Baltimore and Andy’s in FarmVille like not the video game but like. 

00:12:42 Frank 

I always have. 

00:12:43 Frank 

That that in. 

00:12:44 Frank 

So so you know, it’s really. 

00:12:47 Frank 

I think one of those things where. 

00:12:49 Frank 

We take this for granted, and what’s that going to look like 10 years ago? 

00:12:54 Frank 

Like what’s that going to look like? 

00:12:55 Frank 

You know what did it look like 10 years ago? 

00:12:57 Frank 

We probably could have had this. 

00:12:58 Frank 

Conversation 10 years ago. 

00:13:00 Frank 

It might have been choppier, might have been audio only, but it could have been possible. 

00:13:04 Frank 

Yeah, what’s it gonna like 10 years from now? 

00:13:06 Frank 

Are we going to be able to, you know, shake hands virtually are going to be able to like. 

00:13:09 Frank 

Look around the same space, I don’t know. 

00:13:12 Frank 

I know that. 

00:13:13 Frank 

Uhm, just just seeing my kids as they. 

00:13:15 Frank 

Grow up, you know, my older. 

00:13:17 Frank 

On you know his big innovation was the iPad, right? 

00:13:22 Frank 

And you know the luxury was having the hotspot on in the car when we drove places, which is charged a lot of money. 

00:13:30 Frank 

Back then, my younger son for him, he’s always. 

00:13:34 Frank 

Grown up around an Alexa device. 

00:13:36 Frank 

So he would even. 

00:13:37 Frank 

He and Siri, right? 

00:13:39 Frank 

So he he before he could learn how to spell. 

00:13:42 Frank 

He would use Siri to type messages into chat. 

00:13:46 Frank 

That’s also it. 

00:13:48 Frank 

I mean, it is awesome because like for. 

00:13:49 Frank 

Me growing up, you know my my my lot of people in my family were immigrants to the US and you know, for them just having a TV was like. 

00:14:00 Frank 

All right, and I would complain. 

00:14:03 Rupesh 

There was a. 

00:14:04 Frank 

County right? 

00:14:05 Frank 

It was a black and. 

00:14:05 Frank 

White TV and. 

00:14:07 Frank 

And they would be. 

00:14:08 Frank 

Like you know when I was her age we didn’t. 

00:14:10 Frank 

Have a TV and like you know now when you know we drive somewhere and there’s no good. 

00:14:15 Frank 

Come cell phone service. 

00:14:17 Frank 

They complain like Oh no cell phone service is out and I’m. 

00:14:21 Frank 

Like you know, really, like this is. 

00:14:25 

Yeah, so it’s. 

00:14:26 Frank 

It’s just funny and like I do I. 

00:14:28 Frank 

I’ve been rambling on, but ultimately I see this is all connected in one way or the form because one of the things that I read and I don’t know how true this is. 

00:14:36 Frank 

But apparently one of the things that the oculous does. 

00:14:39 Frank 

Is it maps out the room? 

00:14:41 Frank 

Some of that data goes back to. 

00:14:45 Frank 

Mark Zuckerberg Organization, which I find a little creepy but one of the other things that I heard was that you know, if you’re in the metaverse, they and you you tilt your head to look at an ad for something that how long you look at that is measured and tracked. 

00:15:03 

It’s just it’s. 

00:15:04 Frank 

Just going to be another vector for selecting mass quantities of data. 

00:15:07 Rupesh 

And I heard that. 

00:15:07 

So go ahead. 

00:15:09 Frank 

I hate that too, it’s a. 

00:15:11 Frank 

Little creepy, it’s a little. 

00:15:12 Frank 

Creepy, but you know. 

00:15:13 Frank 

And a lot of things in AI. 

00:15:16 Frank 

It borders that line between that’s. 

00:15:18 Frank 

Really cool and that’s really creepy. 

00:15:22 Frank 

There is a lot. 

00:15:22 Rupesh 

See, I don’t know about 10 years from now what we could see about Metaverse, but we could be having a zoom call or a teams call or a call like this on holograms even today. 

00:15:22 Frank 

Of that required. 

00:15:34 Frank 

Right, right it would. 

00:15:35 Frank 

You know it. 

00:15:36 Frank 

It’s one of those things. 

00:15:38 Frank 

The technology, the true cutting edge, is always about 10 years away from it being productized and made easy, right? 

00:15:46 Frank 

If we really. 

00:15:47 Frank 

If we each one of us got a projector and we set things up, we probably could have a holographic conversation, but it would require. 

00:15:53 Rupesh 

And in less than $45,000. 

00:15:56 Frank 

Like and yeah, a lot of money too. 

00:15:58 Frank 

Money always helps. 

00:16:00 Rupesh 

No, but like how do I say? 

00:16:02 Rupesh 

This the problem. 

00:16:03 Rupesh 

In the holograms is not the setup. 

00:16:07 Rupesh 

It is the video rendering which makes it look like a hologram. 

00:16:13 Rupesh 

Interesting, and that is where we don’t see a lot of holograms happening. 

00:16:17 Rupesh 

You know, because no one just wants to make that effort to make it, including myself. 

00:16:23 Rupesh 

I’m guilty of it. 

00:16:28 Frank 

That’s cool, so your app is called Pixie and I’ve used it ’cause it’s really cool. 

00:16:33 Frank 

So if you’ve done any kind of computer vision work, you have to collect a lot of data and there’s a joke that we have Andy and I have had. 

00:16:41 Frank 

We found the GIFs guests. 

00:16:42 Frank 

They’re mostly in the AI space. 

00:16:44 Frank 

About the data engineering side, well, they’ll say. 

00:16:46 Frank 

Well, first we got the data. 

00:16:49 Frank 

And in those five words data, right? 

00:16:50 

Right? 

00:16:53 Frank 

That’s six months of work in minimum, right sometimes. 

00:16:58 Frank 

More more. 

00:16:59 Frank 

Right, and probably usually more. 

00:17:02 Frank 

I see Andy nodding but. 

00:17:05 Frank 

You know for AI folks like the, the data is almost secondary and the data collection and it’s in the data collection and the data labeling. 

00:17:15 Frank 

That things like. 

00:17:15 Frank 

Bias can creep in all these. 

00:17:17 Frank 

All these things you don’t want or just errors. 

00:17:19 Frank 

Can creep in. 

00:17:19 Frank 

So what’s really cool about Pixie? 

00:17:22 Frank 

Is that you can capture on your phone which pretty much everybody has to some degree and it captures a bunch of data. 

00:17:30 Frank 

So if you were one of these, you know vendors these. 

00:17:33 Frank 

These hotdog cart type things. 

00:17:35 Frank 

You can take pictures of things that you probably would do it. 

00:17:39 Frank 

You know with your phone and then you would be able to. 

00:17:42 Frank 

Upload that through this this startup called Lobe dot AI which Microsoft bought. 

00:17:47 Frank 

And it was. 

00:17:49 Frank 

It’s a really cool thing ’cause what you’ve done basically is you made this app that makes data collection for for pictures much easier. 

00:17:59 Rupesh 

And there’s one more thing, OK, you are you both work technically in machine learning, so probably you would understand why. 

00:18:07 Rupesh 

This is important, but any other user wouldn’t pick. 

00:18:11 Rupesh 

See on on pixel, we click pictures directly and draw format on the stock camera. 

00:18:18 Rupesh 

So what happens in that is the picture quality is different and it is filter less. 

00:18:23 Rupesh 

So the error we see on our machine learning models which comes through clicking through normal phone camera. 

00:18:30 Rupesh 

That is, you know that is. 

00:18:32 Rupesh 

A processed image. 

00:18:34 Rupesh 

That processed image is equal to error. 

00:18:37 Frank 

Right? 

00:18:39 Rupesh 

So we have kind of tried to iron that out. 

00:18:44 Frank 

Right, but I mean it. 

00:18:45 Frank 

It’s cool ’cause you’ve bootstrapped this. 

00:18:47 Frank 

You’ve done this. 

00:18:48 Frank 

You have another business you you work with building LinkedIn. 

00:18:54 Rupesh 

Yes, we also have, uh, so that’s how we’re bootstrapping. 

00:18:58 Rupesh 

You know we have a marketing agency which funds all the software and all the tech experiments innovations I want to do. 

00:19:06 Rupesh 

But we make our bread and butter doing marketing. 

00:19:09 Frank 

That’s cool so. 

00:19:10 Frank 

Shameless plug for you. 

00:19:12 Frank 

I know you have some amazing metrics. 

00:19:13 Frank 

Yeah, but yeah, if you’re looking to grow your LinkedIn or your social media presence, you’ve done some amazing things I’ve seen so. 

00:19:20 Rupesh 

So this is the feedback I got today from a client. 

00:19:25 Rupesh 

Out of the 200 new leads they got. 

00:19:29 Rupesh 

95 or 98 went to their website. That’s more than 45% conversion and they were shocked seeing that much. 

00:19:38 Rupesh 

Nice, that is at least four times of whatever the basic gold standard is. 

00:19:40 Andy 

Right? 

00:19:44 Frank 

Nice, that’s awesome that that’s worth shouting from the rooftops. 

00:19:49 Frank 

That’s for sure. 

00:19:50 Frank 

So we’ll definitely make sure your contact information is in the show notes, so folks want to connect with you. 

00:19:56 Frank 

That’s why I say like. 

00:19:57 Rupesh 

And I shamelessly went there on the board also. 

00:19:58 Andy 

Right? 

00:20:00 Frank 

And then right on the board, that’s. 

00:20:03 Frank 

So, so do you have any more? 

00:20:06 Frank 

Questions Andy? Or do you want to go to the the second-half of the show? 

00:20:11 Andy 

Now let’s jump into the second-half. 

00:20:13 Frank 

Frame alright, I’ll kick it off. 

00:20:15 Frank 

How did you find your way into data and? 

00:20:19 Frank 

Did data find you or do you find data? 

00:20:22 Frank 

Like how did. 

00:20:22 Frank 

You get started in the technology kind of space. 

00:20:26 Rupesh 

So I’ve been kinda good with. 

00:20:28 Rupesh 

Text since I’m a kid like I’ve, I’ve had a e-mail ID since I’m in grade one, so that’s like 5-6 seven years old. Something you know. 

00:20:38 Rupesh 

And after that I. 

00:20:40 Rupesh 

Was in the computer club in our school. 

00:20:44 Rupesh 

We learned a lot, so by fifth grade 6th grade we knew how to write HTML code. 

00:20:50 Rupesh 

We knew how to work on visual basics. 

00:20:52 Rupesh 

We knew how to write programs on qbasic. 

00:20:55 Rupesh 

We knew how to write programs on that old language. 

00:20:58 Rupesh 

You know, there’s this old language called Logo. 

00:21:02 Rupesh 

Heard of it today. 

00:21:06 Frank 

I had the thing. 

00:21:06 Frank 

With the turtle, they called it the turtle. 

00:21:08 Frank 

You moved it. 

00:21:08 Frank 

Around the screen is that yeah. 

00:21:12 Rupesh 

I didn’t, I don’t think. 

00:21:12 Frank 

That was the big when I was a kid, but we didn’t have computer. 

00:21:16 Frank 

We didn’t have that with computer classes when I was a kid. 

00:21:20 Rupesh 

So like it was completely writing a 203 hundred. 

00:21:25 Rupesh 

Page document to make a graphic on that program. 

00:21:31 Rupesh 

So every pixel was mapped and we had to give command for every pixel movement. 

00:21:32 Andy 

Yeah it. 

00:21:38 Rupesh 

That was fun. 

00:21:38 Frank 

Yeah, I I never used it but I remember seeing like news stories from like you know the the wealthier parts of New York City schools like they had. 

00:21:47 Frank 

They had computer classes and they would show like and and the kid be like this is called the turtle and you move it around by doing. 

00:21:52 Frank 

This, and it’s like that’s pretty cool. 

00:21:55 Rupesh 

Then, eight ninth graders, JavaScript and I was kind of the by 10 standard till the time I got out out of the school. 

00:22:05 Rupesh 

I was the best computer club student also so I remember this one day. 

00:22:10 Rupesh 

OK, so there’s this one teacher. 

00:22:11 Rupesh 

I’m not going to. 

00:22:12 Rupesh 

Name hood. 

00:22:13 Rupesh 

She was waiting in the class before we before we all students got to the. 

00:22:18 Rupesh 

School she was waiting just because there’s something in the lab which wasn’t working and the whole system had. 

00:22:24 Rupesh 

Crapped out. 

00:22:25 Rupesh 

She, like Rupesh, let’s go we. 

00:22:26 Rupesh 

Have to fix it. 

00:22:28 Andy 

Oh wow, nice. 

00:22:32 Rupesh 

So then. 

00:22:33 Andy 

That’s very. 

00:22:33 Andy 

After when you get to be tech support at that age. 

00:22:40 Rupesh 

It was really fun, you know and like. 

00:22:43 Rupesh 

And even by then we used to have juniors from school with whom every Saturday we used to go learn programming, teach them programming, answer each other questions, work on projects because the computer club had students from 5th grade to 10th grade. 

00:23:01 Rupesh 

That’s like, let’s say. 

00:23:02 Rupesh 

10 year olds to 1617 year olds. 

00:23:05 

Rough night, yeah? 

00:23:09 Rupesh 

And then after that I kinda got into high school for 11th and 12th grade and where my major. 

00:23:17 Rupesh 

Was comp science. 

00:23:19 Rupesh 

But after learning that, I realized that the colleges which I had around me. 

00:23:27 Rupesh 

I was already working on. 

00:23:29 Rupesh 

But like I had already written, programs complex as projects which they teach in colleges. 

00:23:35 Rupesh 

So it did not make sense for me to get a graduation degree in common sense because I thought my pace of learning was kinda better than what I learned. 

00:23:47 Rupesh 

So I jumped into business administration. 

00:23:51 Rupesh 

Once I start doing the started working in sales after a point you know of, like I’ve had a job since grade 11, like when as learning concerns. 

00:24:03 Rupesh 

I was also selling computers at one of uncle stores. 

00:24:05 

Right? 

00:24:08 Rupesh 

So it was fun. 

00:24:10 Frank 

You know who else did? 

00:24:11 Frank 

That Steve Jobs and Steve Wozniak. 

00:24:15 Frank 

Second, there might be parts of. 

00:24:20 Frank 

Steve Jobs life. 

00:24:21 Frank 

You might want to skip, but. 

00:24:22 Frank 

But you know? 

00:24:26 Andy 

You’re a good company that’s for. 

00:24:27 Andy 

Sure, you probably cash so. 

00:24:28 Frank 

Right now you’re here. 

00:24:32 Andy 

So our next question, I’ll go. 

00:24:32 Rupesh 

I’ll skip through the next 7-8 years I. I’ll just skip through the next 7-8 years in a very quick thing to answer the question on his data for me or I found data. 

00:24:34 Andy 

Ahead and just. 

00:24:43 Rupesh 

So for sure. 

00:24:45 Rupesh 

Selling computers second job selling solar panels while selling solar panels. 

00:24:50 Rupesh 

I had a e-commerce store on which we sold clothes. 

00:24:54 Rupesh 

Then I joined an app team which was into me touch applications. 

00:24:59 Rupesh 

Like offline meetups, we go out with friends. We have those IOU’s and whatnot, whatnot, and then we plan a location. We plan the travel so they had built a platform just for managing that. 

00:25:14 Rupesh 

After that I joined a lead generation data company. 

00:25:18 Rupesh 

Furniture selling fish selling advertising agent advertising services to now selling software and marketing. 

00:25:26 Rupesh 

So in all of this the programmer brain in me kinda just picked up on data you know and like. 

00:25:34 Rupesh 

That’s how it went. 

00:25:37 Andy 

That’s correct. 

00:25:38 Andy 

That is very good. 

00:25:40 Andy 

Well, what would you say is your favorite part of your current job? 

00:25:47 Rupesh 

See, it is kind of both. 

00:25:51 Rupesh 

The opportunities I have and I can try. 

00:25:57 Rupesh 

Right, writing like just China Troll Elon Musk on Twitter all day from that pipe to giving 20 hours, 18 hours a day to work to figure out marketing for other companies. 

00:26:13 Rupesh 

To figure out how to build our software. 

00:26:16 Rupesh 

To find skills to kind of scout people on which. 

00:26:21 Rupesh 

See, I’m a. 

00:26:21 Rupesh 

Dropout, I did not finish my business. 

00:26:24 

Agreed, OK. 

00:26:27 Rupesh 

Because I was all like in the second year of college, I walked into college with. 

00:26:32 Rupesh 

A visiting card. 

00:26:34 Rupesh 

So it kinda was moot. 

00:26:39 Rupesh 

And in all of that, what happens is like, I like going to meetings. 

00:26:44 Rupesh 

I like to kinda. 

00:26:46 Rupesh 

I have a bug to solve marketing issues through technology and working in different types of industries and trying to help solve those. 

00:26:56 Rupesh 

Business problems is what keeps me going. 

00:26:59 Rupesh 

So I think we are solving that one native business problem, which is the kiosk. 

00:27:06 Rupesh 

Because it’s still. 

00:27:08 Rupesh 

Right and we have build while we’re doing that, we’re getting to a point. 

00:27:12 Rupesh 

We build other software to develop software development. 

00:27:15 Rupesh 

No code local. 

00:27:17 Rupesh 

Just so I know it is this one product you know. 

00:27:21 Rupesh 

So we are starting the like we are in design for a product which is. 

00:27:24 Rupesh 

Called flow picks. 

00:27:27 Rupesh 

I’m sure both of you guys learn programming, drawing flowcharts first and then deciding what code goes in the compiler and not using the top right. 

00:27:35 Frank 

Find out. 

00:27:37 Andy 

Not at all. 

00:27:39 Frank 

I remember I remember. 

00:27:43 Frank 

My first day at Compsci class in university, so so I learned programming because my I got a Commodore 64. 

00:27:53 Frank 

And come to play video games on and then. 

00:28:00 Frank 

So then basically it became this I I went to my parents like hey can I have video games to? 

00:28:07 Frank 

Buy for this. 

00:28:09 Frank 

And and and, and he’s like my mom. 

00:28:14 Frank 

My dad was kind of like laughed and then my mom was like, well, it’s like my dad laughed. 

00:28:19 Frank 

He’s like dude, we just spent you know how much money on this thing. 

00:28:23 Frank 

And then my mom turned and said. 

00:28:25 Frank 

Well, why don’t you write your own games? 

00:28:28 Frank 

And I don’t think she realized like. 

00:28:30 Frank 

The the the the. 

00:28:31 Frank 

The chain effect of that is where I am now, which was basically, you know, because the Commodore 64. 

00:28:37 Frank 

They were brilliant in the sense that it. 

00:28:40 Frank 

Shipped with this? 

00:28:40 Frank 

Book the Commodore 64 programmer’s guide. 

00:28:42 Frank 

Or something like. 

00:28:43 Frank 

That, and it was a spiral brown book written. 

00:28:46 Frank 

I think I might have been like 6. 

00:28:48 Frank 

Great so I might have been like 11 or 12 and it was not written for your average 11 or 12 year old. 

00:28:54 Frank 

So I’m. 

00:28:55 Frank 

I’m reading words like parameters and. 

00:28:56 Frank 

I’m like what does that mean? 

00:28:57 

Oh, Danny. 

00:28:59 Frank 

Before Google, so like you know. 

00:29:01 Frank 

Got dictionary what’s parameter OK and then like kind of like? 

00:29:05 Frank 

That’s basically how I learned programming when I normally was introduced to flowcharts. 

00:29:10 Frank 

I’m like I get where they’re going. 

00:29:13 Frank 

With this, but. 

00:29:13 Frank 

This is really annoying. 

00:29:18 Frank 

I don’t know what your experience is when you first saw flow chart Andy, but that was that was my first thought. 

00:29:24 Andy 

Yeah I had some. 

00:29:26 Andy 

I kind of came at it a couple different directions at first was computing and as a hobby. 

00:29:32 Andy 

And like, yeah, I was about the same age as you, Frank, but it was about 10 years earlier. 

00:29:37 Andy 

’cause we’re about 10 years, probably 10 years older than you, but I’m when I started we didn’t have persistent storage at all. 

00:29:45 Andy 

So when you turn the power off. 

00:29:47 Andy 

We lost everything that we would use. 

00:29:49 Frank 

You have to set tips. 

00:29:51 Andy 

Not not initially, not initially we did. 

00:29:53 

Like that? 

00:29:54 Andy 

Eventually we upgraded to cassettes for still persistence slowly, but we did. 

00:30:00 Andy 

We would type in hexadecimal, usually from byte magazine. 

00:30:05 Andy 

And we type for maybe 30 minutes and we get 1K basically. 

00:30:05 

Right? 

00:30:10 Andy 

And then if we’ve done. 

00:30:11 Andy 

All of them, right? 

00:30:13 Andy 

Like all those bytes, right? 

00:30:14 Andy 

Then we could execute on cave basic and then start writing. 

00:30:18 Andy 

You know, line number, basic programs. 

00:30:21 Andy 

But when I saw flowcharts, I first encountered them a couple of years later when I was. 

00:30:25 Andy 

In algebra class. 

00:30:27 Andy 

And I immediately called, you know, the connection. 

00:30:30 Andy 

I was like this is. 

00:30:31 Andy 

What this is a way of kind of formalizing what we do? 

00:30:35 Andy 

But by that time I had coded so much that I’d I don’t my way of thinking. 

00:30:40 Andy 

About it wasn’t better. 

00:30:42 Andy 

Hands, hands down, but it was different and I was familiar with it and that was enough for me to look at it and go. 

00:30:49 Andy 

I’ll do this in class. 

00:30:51 Andy 

But it’s not going to work. 

00:30:53 Andy 

Interestingly enough, it came back. 

00:30:55 Andy 

I became an electrician years later and we had programmable logic controllers. 

00:31:02 Andy 

PLC’s and the language I learned to program them in was called Ladder logic, and it’s it’s back from before computers. 

00:31:12 Andy 

It’s all about relays, you know? 

00:31:13 Andy 

Yes, this circuit energizes and this circuit closes and that one opens and it it is logic. 

00:31:19 Andy 

But it is and it effectively. 

00:31:22 Andy 

Those contacts in the relay or bends and it came. 

00:31:27 Andy 

I kind of circled back to flowcharts because it made more sense at that time to do so, so it’s very interesting. 

00:31:33 Andy 

Kind of my experience with that. 

00:31:35 Andy 

That Rupesh I’d love to learn more about about how you feel about a flow chart. 

00:31:41 Andy 

Since you introduced this topic and me and frank golf down the rabbit terms. 

00:31:45 Rupesh 

No, that’s fine like The thing is, you guys kinda help build the concept of flow chart from whatever I hear, you know, because that time from what I remember. 

00:31:55 Rupesh 

Then remember learning those times the graphic user interface did not exist. 

00:32:00 Rupesh 

DOS did not exist, so you kinda wrote code in it, but that is mildly. 

00:32:09 Andy 

Well it was. 

00:32:10 Andy 

I mean it was all we had. 

00:32:12 Andy 

You know, when I started out I joke and say that we used to carve our own chips out of wood. 

00:32:18 Andy 

Uhm, it wasn’t quite. 

00:32:20 Andy 

That bad but. 

00:32:21 Andy 

It was close compared to today. 

00:32:24 Andy 

Oh yeah, I I am living in the future. 

00:32:28 Andy 

We couldn’t even imagine Frank Cora. 

00:32:32 Frank 

I mean, when I was a kid when I was in high school, the Star Trek the next generation came out and Star Trek was on before I was born. 

00:32:41 Frank 

So my dad used to watch we would throw us reruns and they’d have the computer you could talk to the computer and this that was science fiction. 

00:32:48 Frank 

I know I have. 

00:32:49 Frank 

I have an Alexa all over. 

00:32:50 Frank 

My house I. 

00:32:51 Frank 

Used to have a Cortana, but that’s. 

00:32:52 Frank 

Another story. 

00:32:54 Frank 

But but you know it’s it’s like one of. 

00:32:57 Frank 

Those things where it’s mostly, I think, frantic. 

00:33:00 Frank 

Well, yeah and. 

00:33:01 Frank 

I know that you know if. 

00:33:02 Frank 

You ask if you ask Google Assistant. 

00:33:05 Frank 

Who you are like you get this whole like really cool description of of you. 

00:33:11 Rupesh 

It does. 

00:33:15 Frank 

It it it? 

00:33:16 Frank 

It’s funny because sometimes if I. 

00:33:19 Frank 

It’s weird, like if you if you do the search. 

00:33:22 Frank 

We were trying this the other day and I guess my it didn’t. 

00:33:25 Frank 

You know my New York accent kept like missing like your last name, like messing up the name and it was like it’s not working but but no. 

00:33:33 Frank 

I mean, it’s, you know, it’s one of those things where you know one of our previous guests, mark. 

00:33:40 Frank 

Mark tab. 

00:33:40 Frank 

You know he coined the term digital native versus digital immigrant, right? 

00:33:45 Frank 

So for people over certain age, we we are immigrants to this space. 

00:33:49 Frank 

Whereas people grew up around the Internet and all this technology. 

00:33:52 Frank 

They are natives. 

00:33:54 Frank 

You know my my younger son will probably never remember a time without Siri or Alexa. 

00:34:01 Frank 

And my older son does remember that. 

00:34:03 Rupesh 

Big Sky train. 

00:34:05 Rupesh 

But they grew up in static. 

00:34:08 Frank 

Way they grew like for them. 

00:34:09 Frank 

So when they watch. 

00:34:10 Frank 

Like an old episode of. 

00:34:11 Frank 

Star Trek aside. 

00:34:11 Frank 

From pointing out how goofy the effects look, now you know the whole idea of talking to. 

00:34:15 Frank 

A computer is not futuristic, right? 

00:34:18 Frank 

Maybe what is futuristic is the kind of the new wants that the computer can pick up on, ’cause we’re still not there yet, but that’s a very. 

00:34:25 Frank 

It’s a quantum. 

00:34:26 Frank 

Difference if you will like between like you know. 

00:34:29 Frank 

Wow, you can talk to a computer. 

00:34:31 Frank 

And like there was a scene in the original one of the original movies was the one with the whales where Scotty, the engineer, sits down in front of the computer. 

00:34:40 Frank 

So it’s talking. 

00:34:40 Frank 

To it, and this was like mid 80s and the guy like people were like looking at like he’s crazy he goes. 

00:34:46 Frank 

Oh no, yeah. 

00:34:47 Frank 

He points on the mouse. 

00:34:48 Frank 

Like no, you gotta use this and. 

00:34:49 Frank 

He picks up the mouse and says hello. 

00:34:52 Rupesh 

Like oh dad. 

00:34:53 Frank 

Yeah, I’m fine. 

00:34:55 Frank 

It’s just funny, like you know. 

00:34:57 Rupesh 

Now that you think. 

00:34:58 Rupesh 

Of it, that’s the best place to hide a Mike. 

00:35:01 Frank 

It is actions. 

00:35:03 Rupesh 

Yeah yeah, and make that statement was to have. 

00:35:04 Frank 

Most Inverness 

00:35:06 Rupesh 

English to talk also. 

00:35:09 Frank 

Yeah, yeah. 

00:35:11 Rupesh 

So yes, would you agree or disagree? 

00:35:11 Frank 

What do you want? 

00:35:14 Rupesh 

Logic or code? 

00:35:15 Rupesh 

What is more important? 

00:35:19 Andy 

I’d I’d call that equal. 

00:35:20 Frank 

You get chicken and egg. 

00:35:22 Andy 

I would call it saying. 

00:35:22 Andy 

Yeah, yeah. 

00:35:25 Frank 

I don’t say logic is the base thing, but code is how you achieve it. 

00:35:31 Rupesh 

See no disagreement there. 

00:35:33 Rupesh 

My point being like you can figure out how to code, but you cannot figure out how to. 

00:35:38 Rupesh 

Build good logic. 

00:35:40 Frank 

That’s true, that is true. 

00:35:43 Frank 

Well, I mean, that’s you know all these things they talk about learning the code, right? 

00:35:43 

Right? 

00:35:46 Frank 

Like when I was a kid this was coding was not encouraged, right? 

00:35:49 Frank 

’cause it was not seen as it was. 

00:35:51 Frank 

Just not a thing. 

00:35:51 Rupesh 

And it wasn’t seen as oh, that was an alien thing then. 

00:35:54 Frank 

Who’s an alien thing then? 

00:35:55 Frank 

You know, and you know, yeah, yeah. 

00:36:00 Frank 

And this, you know, various people said everybody should learn how to code. 

00:36:03 Frank 

Now it’s like I just like I disagree. 

00:36:05 Frank 

I think everyone should try coding because it may not be for you, right? 

00:36:09 Frank 

It may not be your. 

00:36:10 Frank 

Cup of tea, but you should at least. 

00:36:12 Frank 

Know about it, right? 

00:36:13 Frank 

’cause ultimately at the end of. 

00:36:14 Frank 

The day it’s about thinking through a process, what problem were? 

00:36:17 Frank 

You triangle, so how would you take that? 

00:36:20 Frank 

To put it into smaller bits of problem, right? 

00:36:23 Frank 

That that and how? 

00:36:23 Frank 

Do you piece those together? 

00:36:25 Frank 

That’s really the value in it, right? 

00:36:27 Frank 

That’s the hard part of coding, like knowing the syntax around JavaScript or C# or Python, that’s not hard. 

00:36:33 Frank 

I can I can get like a one. 

00:36:35 Frank 

Sheet CHEAT SHEET. 

00:36:37 Frank 

And like if you want to do this do this, but like thinking through a problem. 

00:36:40 Frank 

And being skilled at that is what makes you an engineer, I think. 

00:36:45 Rupesh 

And that is what building a flow chart is right? 

00:36:48 Rupesh 

Essentially, you know, like this proxy representation is per child. 

00:36:48 

Yeah, yeah. 

00:36:50 Frank 

But the problem with flowcharts. 

00:36:52 

It’s like. 

00:36:54 Frank 

If you put a flow. 

00:36:55 Frank 

Chart there together, though the problem is. 

00:36:56 Frank 

That you can’t. 

00:36:57 Frank 

Execute on the full chart. 

00:37:01 

You know the word. 

00:37:03 Rupesh 

That’s what we’re building. 

00:37:03 

Right? 

00:37:05 Rupesh 

You can use that flow chart to build software. 

00:37:05 

Oh, we’re not. 

00:37:08 Andy 

Interesting, OK, now that gives it a. 

00:37:10 Andy 

Different twist, I would say because. 

00:37:12 Frank 

That gives it a purpose. 

00:37:13 Andy 

Yeah, between when I try to categorize, you know logic, flowcharts and thinking through the problem you’re trying to solve with actually writing code to execute what you’ve thought of. 

00:37:26 Andy 

To me it’s in that same. 

00:37:29 Andy 

I don’t know the same comparative space as strategy and tactical. 

00:37:33 Andy 

You know you have to have a strategy. 

00:37:35 Andy 

Well, that’s not true. 

00:37:36 Andy 

You don’t have to, and some people get very lucky. 

00:37:38 Andy 

Just stick him with tactical, but most often it’s better to have strategy and then begin executing tactically against that strength. 

00:37:47 Andy 

So that’s that’s an awesome idea, Rupesh I I can’t wait to see what you guys build. 

00:37:56 

Yeah, same here. 

00:37:56 Rupesh 

I kind of would need your help also, so I’ll use this episode to shout out to other engineers also. 

00:38:02 Rupesh 

Last night 

00:38:03 Frank 

There’s a lot of a lot of. 

00:38:04 Frank 

Engineers listen to this, so we’ll make sure that which leads. 

00:38:06 Andy 

Is so true? 

00:38:07 Rupesh 

I’m saying. 

00:38:08 

Yeah, I don’t mind. 

00:38:09 Frank 

Like this? 

00:38:10 Frank 

One of our questions you know, where can people learn more about? 

00:38:13 Frank 

You and what you’re up to. 

00:38:16 Rupesh 

I tweet a lot, I write a lot on LinkedIn and I post very often on Instagram. 

00:38:24 Frank 

OK. 

00:38:25 Rupesh 

So like I have. 

00:38:26 Frank 

What’s your restaurant handle? 

00:38:28 Rupesh 

It is Rupesh Malpani across all the platforms. 

00:38:33 Frank 

OK. 

00:38:34 Andy 

Yes, that’s confusing. 

00:38:35 Frank 

And if you have a Google Assistant, you can ask. 

00:38:38 Rupesh 

What is good and? 

00:38:41 Frank 

There you go. 

00:38:44 Rupesh 

Do you have one? 

00:38:46 Frank 

I don’t have. 

00:38:47 Frank 

I have a I. 

00:38:47 Frank 

Have it on my phone. 

00:38:48 Rupesh 

Yeah, I mean ideally I thought. 

00:38:50 Rupesh 

Yeah, and you’re shipping with. 

00:38:52 Frank 

Now we I I talked him into getting. 

00:38:54 Frank 

Alexa, I think that somehow come on. 

00:38:59 Frank 

Maybe I’ll get another one, I don’t. 

00:39:00 Frank 

Know, but so do you listen to audiobooks? 

00:39:04 Frank 

I’m curious. 

00:39:08 Rupesh 

Not really, not much conversations. 

00:39:11 Rupesh 

Yes, Audio books list. 

00:39:13 Frank 

Got it so is there any book you would recommend because this is this is too for our sponsors. 

00:39:21 Rupesh 

I would say $100 startup. 

00:39:24 Frank 

$100 startup cool. 

00:39:26 Rupesh 

Yes, it is written by someone called Christopher. 

00:39:27 Frank 

I will pick that up. 

00:39:31 Rupesh 

I don’t remember his last name, but yeah. 

00:39:33 Rupesh 

Like I have it right there I was. 

00:39:35 Frank 

I will check it out, I will. 

00:39:35 Rupesh 

Just in a good shape. 

00:39:37 Frank 

Check it out so Audible is a. 

00:39:38 Frank 

Sponsor of the show and. 

00:39:41 Frank 

If you go to the data. 

00:39:42 Frank 

Drivenbook.com 

00:39:44 Frank 

And you can check it out. 

00:39:47 Frank 

You’ll get one free audiobook on us and we’ll get a little bit of a tip of the hat and enough to buy a Starbucks coffee. 

00:39:54 Frank 

If you decide to subscribe. 

00:39:56 Frank 

Andy and. 

00:39:57 Frank 

I are both head. 

00:39:58 Frank 

Heavy audible listeners. I know that I just listened to grant cardone’s the 10X mentor the second time. 

00:40:07 Frank 

And, uh, it’s an awesome book. 

00:40:09 Frank 

I recommend that. 

00:40:10 Frank 

How about you, Andy? 

00:40:13 Andy 

I’m still trying to get through the start of the grant Cardone 10X mentor the first time. Frank, I’m not even halfway through that. 

00:40:21 Andy 

I’ve yet look up the $100 startup and I see I’m going to miss pronounce the last name. 

00:40:27 Andy 

But that’s not uncommon for me, it’s Chris. 

00:40:30 Andy 

A guy Lambo guy Lobo Dillabough I don’t. I’m not sure GUILLEBEAU. 

00:40:40 Frank 

Oh, sounds like a French team. 

00:40:41 Rupesh 

Chris gullable 

00:40:43 Andy 

It does and, but that’s. 

00:40:47 Andy 

Look, and I’ve done a lot of bootstrapping myself as a serial entrepreneur and I’m. 

00:40:48 Frank 

That’s cool. 

00:40:53 Frank 

If anyone listening who is offended hold on by the fact that I made fun of somebody with a French last name, they should be reminded that Lavigna or Levine is a French last name. 

00:40:56 

Go ahead. 

00:41:04 Frank 

And trust me, my name gets butchered all the time, and in fact technically I butcher my own last name. 

00:41:10 Frank 

Because it is pronounced living. 

00:41:13 Frank 

And I go with Livia, and you’re probably wondering why is that? Well, the reason is historical. When my grandfather immigrated to the US. 

00:41:21 Frank 

Uh, in during the Great Depression he moved to Bensonhurst, Brooklyn, or somewhere in Brooklyn and he didn’t speak much English or if any. 

00:41:31 Frank 

But he could kind of understand Italian. Not a lot of Frank oh phones francophones or French speaking people in Brooklyn in the 1930s. Who knew, and everyone just assumed he was. 

00:41:42 Frank 

Italian, so the Italian pronunciation for vineyard is lavigna. 

00:41:47 Frank 

And he just went with it, so it kind of stuck. 

00:41:51 Frank 

Although one of my kids correct me now is my older kids taking. 

00:41:56 Rupesh 

French classes. 

00:41:56 Frank 

It’s taking French and you know he’s like no. 

00:42:00 Frank 

It’s Livy and I was like, well, I use Lavinia. 

00:42:04 Frank 

Historical mistakes that kind of stuck. 

00:42:04 

Right? 

00:42:06 Andy 

Stuff, it’s. 

00:42:07 Andy 

That’s those kinds of things happen and. 

00:42:10 Andy 

You know, I think I I admire your approach to it. 

00:42:13 Andy 

Pick one that. 

00:42:14 Andy 

Works for you. 

00:42:15 Andy 

And and just roll with it, and if it bothers somebody then I don’t know. 

00:42:21 Andy 

I thought worried about everybody that was bothered by something I said. 

00:42:24 Andy 

Frank, I’d be worried all the time and I’m not trying to say that it doesn’t matter. 

00:42:30 Andy 

It does, but it’s like I can’t change what’s in your head, but anyway, alright Mr Gibeaut Gibeaut Mr Chris, yeah $100 startup. 

00:42:41 Andy 

That’s an interesting looking book, I don’t think. 

00:42:43 Andy 

I’ve read it, it’s not. 

00:42:45 Andy 

I went to come to Amazon and it doesn’t show that I picked it up before, but that’s kind of book I. 

00:42:52 Andy 

I like reading those types of books. 

00:42:54 Andy 

There’s always some gem. 

00:42:55 Andy 

Frank taught me this. 

00:42:57 Andy 

There’s always some gem in every book, and frank reads like a million books a year, so he he would know and he says, you know, some books. 

00:43:05 Andy 

Just trash except. 

00:43:06 Andy 

For this one silence, I think they’re. 

00:43:08 Andy 

Just you know they’re filled with those sentences. 

00:43:12 Frank 

So I yeah, I mean some books you. 

00:43:12 

And some books. 

00:43:15 Frank 

Know there’s not actually an audible. 

00:43:16 Frank 

Version of this book. 

00:43:17 Frank 

So I’m going. 

00:43:17 Frank 

To pick it up. 

00:43:18 Andy 

OK, yeah, the data. 

00:43:20 Rupesh 

Is good reason for these books. 

00:43:20 Andy 

Book.com 

00:43:23 Frank 

Yeah, for the $100 startup, yeah yeah. 

00:43:25 Frank 

But then I like I like listen I like audiobooks because I can learn while I’m in a car. 

00:43:33 Frank 

I can be doing something else gardening. 

00:43:37 Frank 

Or moving furniture, moving, putting stuff in boxes. 

00:43:41 Frank 

Taking stuff out of boxes. 

00:43:42 Frank 

All the moving stuff. 

00:43:42 Andy 

Crazy talk. 

00:43:44 Frank 

Crazy talk. 

00:43:46 Frank 

They never move your kids. 

00:43:46 Rupesh 

All good. 

00:43:47 Frank 

Before, and that’s quite an experience. 

00:43:48 Rupesh 

It seemed like. 

00:43:49 Rupesh 

Book coming to life. 

00:43:51 Rupesh 

You know the book narrating itself? 

00:43:53 Frank 

Yes, especially if the author reads their own stuff. 

00:43:53 Andy 

Yeah, it it really is. 

00:43:57 Frank 

It is a you know. 

00:43:58 Frank 

No, no disrespect to voice actors out. 

00:44:00 Frank 

There, but there’s nothing like hearing somebody who wrote the words kind of adding their own color. 

00:44:05 Frank 

And flourish and emphasis. 

00:44:06 Frank 

Grant Cardone is. 

00:44:07 Andy 

Yeah especially. 

00:44:07 Frank 

Probably the poster child for this, right? 

00:44:09 Frank 

All, as is Jordan Belfort, like. 

00:44:13 Frank 

Yeah, you know, with the wolf of Wall Street when he says it like I had and and the way he talks, he talks like a. 

00:44:19 Frank 

Lot he’s from new. 

00:44:20 Frank 

York and from the same part of New York, my mom families from so like. 

00:44:25 Frank 

So like like I have members of my family, it’s how exactly like Jordan Belfort they’ll be? 

00:44:30 Frank 

Like yeah you. 

00:44:30 Frank 

Know profanity and all. 

00:44:32 Andy 

So I’m with you on The Voice actors. 

00:44:36 Andy 

I like them into fiction, but I rarely have time to listen to fiction audio. 

00:44:41 Andy 

Mostly I read the hardcovers, but yes, the and it’s I can’t tell you how many times you’ll be listening to the author reading the book. 

00:44:49 Andy 

And I’ll get to spot and say, hey, yeah, you know when I wrote this I was kind of thinking about this way, but here’s a bonus. 

00:44:56 Andy 

You know it’s like this and it’s all across the board and it’s so cool it makes it adds value to the audiobook. 

00:44:57 Frank 

I think. 

00:45:02 Andy 

Makes it worth the time and I’m just like Frank, I garden and you know I don’t travel as much as. 

00:45:07 Andy 

I used to. 

00:45:08 Andy 

I’m about to start. 

00:45:09 Andy 

Traveling Frank, I’m doing my first in person event in over 2 1/2 years in October. Yeah so. 

00:45:17 Andy 

Which means I have to get well before. 

00:45:20 Frank 

They get well and proves it can grow. 

00:45:22 Frank 

And all that. 

00:45:23 Andy 

Exactly so, but it’ll happen. 

00:45:27 Andy 

Rupesh it was great having you on the show. 

00:45:30 Andy 

That’s awesome, thank you. 

00:45:31 Andy 

Thank you so much for taking time and I know because I’ve been to India that it’s a crazy time of day night really over there. 

00:45:39 Andy 

Thank you for either getting up early or staying up late with us or. 

00:45:44 Andy 

Whatever you had to do to accommodate us, that’s that’s very kind. 

00:45:47 Andy 

And and I just want to say thank you so much for sharing with our. 

00:45:50 Rupesh 

Listeners pleasure to be here and talk to two geniuses. 

00:45:55 Frank 

Oh well, thank you. 

00:45:59 Frank 

Anything that’s a green screen? 

00:46:00 Frank 

We’ll we’ll. 

00:46:01 Frank 

We’ll add 2. 

00:46:02 Frank 

Computer generated geniuses behind him. 

00:46:05 Andy 

You’re good with the graphic. 

00:46:08 Frank 

All right, well, and we’ll let the. 

00:46:12 Frank 

Nice British lady in the show. 

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00:46:21 BAILeY 

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Frank

#DataScientist, #DataEngineer, Blogger, Vlogger, Podcaster at http://DataDriven.tv . Back @Microsoft to help customers leverage #AI Opinions mine. #武當派 fan. I blog to help you become a better data scientist/ML engineer Opinions are mine. All mine.

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