Name: 6000万ドルでスタートアップを売った兄に聞く｜機械学習エンジニア (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)
Uploaded: 2021-01-14T10:22:08.000Z
Duration: 29 min 20 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

現在進行形

and earlier this year we just sold Thio polio and which is where I am building out the product, scaling it on DDE, adapting the product to their client base.

I sell it for Well, it's public for people who want Thio.

No mind if I do my research and put in my video?

I guess I guess I can just tell you because you're gonna put that in any way Way sold for 60 million Before we continue this video, I just want to say thank you, Brilliant for sponsoring this video Everyday Brilliant publishes daily challenges on many stem topics like math, science and computer science.

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Ma light brother calls, I think your first interview that came back for a second round of my right.

Because you were high in demand, so I had to bring you back a cool.

In the previous video, I made an interview with you, and it's mostly about how you were a quantity at Two Sigma.

And then that video you told me that you quit your job to do Dicko found a startup that correct.

So a lot of people were wondering Why did you make the switch the switch?

There's a lot of smaller reasons I wanted to try something new wanting toe.

See what was out there for a deep learning.

I wanted to also look at crypto currencies.

But Indian Elliot, co founder of Dynasty Re shot me like a week after I said I was gonna quit.

And he was like, Hey, have you ever thought about quitting?

And I was like, I quit, like, one week of ago.

How do you How did you How'd you do this on?

And then you said, like, Yeah, I just come out to l a and then see what we're doing.

And then, uh, there's nothing no harm done, right?

I know one thing led to next and, you know, here I am now.

So, between back then, when I interviewed you, too now, any updates on the startup is dynasty, right?

There was a lot of a lot happened since since the last time we spoke.

At that time, we had just pivoted into, um, the the A I for real estate business.

And during that time, way built the product, found product, market fits, um, and earlier this year, we just sold Thio polio and which is where I am building out the product, scaling it and adapting the product to their client base.

Well, it's public for people who want Thio.

I guess I guess I can just tell you because you're gonna put it on anyway.

So Dynasty was initially a different business which did not succeed on.

That's very that's very common for a lot of startups.

Esso E At the end of the last business, everything was were like 10 people on, and I joined that as like the sixth person.

At that time, things were not going well.

There was no product market fits and we started pivoting into the real estate and about half the people left.

So in terms of co founder, originally there were two co founders and then this'll new will for the new pivot.

What was the previous product and what is the product now?

Back then, we wanted to create willing to securitize real estate assets, basically create a an exchange and allowing people with a smaller amount of capital to taken take positions in real estate assets.

If you think about it right now, to buy a house, you have to have, you know, especially in Silicon Valley, you have to have, like, 200 K 300 k just to put it put down a deposit.

It's not very Democratic on also, your all your money is into it like this one single asset that's very susceptible.

Well, at least we didn't find how to make it work.

I'm not going to say it's a bad idea because we still think that, you know, there are benefits to this world we're dreaming of.

But in the process, Elliot's and other people who joined before May found out that a lot of real estate participants had a lot of trouble managing their assets.

Real estate is, ah, an asset that you have toe, you know, it's a real thing you have thio keep.

Gave you wantto get people into for rentals and stuff like that.

I think half of the income comes from rentals if you take the other half as appreciation.

So one of the big challenges was the operations of leasing a building or releasing your assets.

So we decided, Well, everybody says it's a problem.

Yeah, that that's where Lisa came in, he says.

So that's like the pivot That's your new business.

And of course, Lisa is an A I for leasing the I was wondering now that you dig your hands deep into ML order, any misconceptions about ML engineering that you want to debunk?

I think the general excitement about ML is great.

It made a lot of people going to Malibu, and that's awesome.

How do I build models and how do I fit fit a model t o data, but like very little focus has been on.

How do I design a business process that will create data for the algorithm that I want to build.

How do I build all the process around three ML components that there's too much focus on building the models, not in the focus on how to integrate ML into existing products.

And to be fair, it's kind of a new field, right?

Not many people have to know how to do this because it's it's It's so new, like analogy is when you know computers were first invented.

Her, like the Internet, was missing, that people were finding out how to integrate that into existing business processes.

And, you know, it took a lot of trial and error.

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6000万ドルでスタートアップを売った兄に聞く｜機械学習エンジニア (Interview With My Brother Who Sold His Startup For $60 Million | Machine Learning Engineer)

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