Samim SafaeiGuest
Jothy RosenbergHost
And it's been it probably would have been a much more profitable career if I had focused on on just going where the money is or trying to solve problems that are maybe more lucrative.

But for me, it's more so like I think this is a real problem and I want to solve this.

What's interesting about this set of startups to me is that, and I'm glad you described the helping people aspect of it from your perspective, but what's unusual about your story is that There's almost no common market in here.

And people, I think, tend not to try to do another, their next startup in a completely different market than the one that they just finished.

And so somehow, and I'm not sure how, you would then step into a new market and figure out a problem, which isn't easy because you're not in that market to see what people are struggling with and that needs fixing.

And I don't know if you can help paint that picture for us as to how that worked, how you went from one market to a completely different market that wasn't one you'd spent years in.

Yeah, it's a good question and maybe a bit of hubris on my part to think I can just jump into a market and solve the problems.

So each of these startups, I think the shortest one was the last one, which was about a year.

Most of them, there was a very long period of research and kind of customer development that happened.

Like I like to kind of get in there, get a lay of the land, understand the thing, um, as a system and start to, to look at, you know, what the solutions are.

So again, maybe not, uh, the most lucrative or straight path forward for an entrepreneur to take to, to be, uh, to be making money but I really I think I think there is actually a common theme that you could draw from it and it's a bit of an obsession with data So in all of these startups, there is a lot of data.

So in the fire safety one, you're getting extremely complex radiation data from a fire.

In the smart building one, you're aggregating tons and tons of sensor data and trying to make sense of it for building management.

In the third one, you're taking music, which is you know as as almost as complex as the radiation data you're getting from a fire and you're trying to you know transform that into something else and the fourth one you were trying to uh take all this paperwork or all these uh essentially texts and automate more text out of it so i think data and then the natural progression of that into ai maybe is a common theme um, that exists there for me.

And, and yeah, if you think about it that way, I guess it's a bit of like a, an evolution in terms of just how I think about, um, the whole data is oil or data is like, uh, the new commodity thing because it, it stepped up to intelligence.

And I would say even now it's, it's beyond intelligence and it's more about, uh, attention or focus.

And it's been it probably would have been a much more profitable career if I had focused on on just going where the money is or trying to solve problems that are maybe more lucrative.

But for me, it's more so like I think this is a real problem and I want to solve this.

What's interesting about this set of startups to me is that, and I'm glad you described the helping people aspect of it from your perspective, but what's unusual about your story is that There's almost no common market in here.

And people, I think, tend not to try to do another, their next startup in a completely different market than the one that they just finished.

And so somehow, and I'm not sure how, you would then step into a new market and figure out a problem, which isn't easy because you're not in that market to see what people are struggling with and that needs fixing.

And I don't know if you can help paint that picture for us as to how that worked, how you went from one market to a completely different market that wasn't one you'd spent years in.

Yeah, it's a good question and maybe a bit of hubris on my part to think I can just jump into a market and solve the problems.

So each of these startups, I think the shortest one was the last one, which was about a year.

Most of them, there was a very long period of research and kind of customer development that happened.

Like I like to kind of get in there, get a lay of the land, understand the thing, um, as a system and start to, to look at, you know, what the solutions are.

So again, maybe not, uh, the most lucrative or straight path forward for an entrepreneur to take to, to be, uh, to be making money but I really I think I think there is actually a common theme that you could draw from it and it's a bit of an obsession with data So in all of these startups, there is a lot of data.

So in the fire safety one, you're getting extremely complex radiation data from a fire.

In the smart building one, you're aggregating tons and tons of sensor data and trying to make sense of it for building management.

In the third one, you're taking music, which is you know as as almost as complex as the radiation data you're getting from a fire and you're trying to you know transform that into something else and the fourth one you were trying to uh take all this paperwork or all these uh essentially texts and automate more text out of it so i think data and then the natural progression of that into ai maybe is a common theme um, that exists there for me.

And, and yeah, if you think about it that way, I guess it's a bit of like a, an evolution in terms of just how I think about, um, the whole data is oil or data is like, uh, the new commodity thing because it, it stepped up to intelligence.

And I would say even now it's, it's beyond intelligence and it's more about, uh, attention or focus.
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