WEBVTT - Why You Can't Get a One-Click Mortgage Refi

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>Hello and welcome to another episode of the All Thoughts podcast.

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<v Speaker 2>I'm Tracy Alloway.

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<v Speaker 3>And I'm Joe Wisenthal.

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<v Speaker 2>Joe, do you remember a month or so ago we

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<v Speaker 2>recorded an episode all about why mortgage rates were going

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<v Speaker 2>up even though the FED has cut Yes.

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<v Speaker 4>This was a big one at the time, and I

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<v Speaker 4>think it still is really important. Basically, there's this intuition

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<v Speaker 4>that people have that the FED effects policy by cutting rates,

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<v Speaker 4>and one thing that happens when rate cuts is that

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<v Speaker 4>borrowing costs go down. In one form of borrowing that's

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<v Speaker 4>very popular is mortgage rates. But we're in the middle

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<v Speaker 4>of a rate cut cycle. The FED cut fifty in September,

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<v Speaker 4>then kind of another twenty five minutes sobsequent meeting, But

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<v Speaker 4>mortgage rates have generally not moved down at all, and

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<v Speaker 4>in fact moved up after that fifty basis point cut.

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<v Speaker 4>By the way we're recording this November twenty fifth, we

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<v Speaker 4>haven't seen much improvement at all, and so there is

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<v Speaker 4>this I don't know if it's really a mystery, but

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<v Speaker 4>there is certainly a story about the FED in the

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<v Speaker 4>middle of a rate cut cycle, and yet it not

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<v Speaker 4>really feeding through to a lot of.

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<v Speaker 3>Kinds of borrowing.

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<v Speaker 2>I don't think it's a mystery. We did a whole

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<v Speaker 2>episode on it. You're explaining what's right.

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<v Speaker 3>You're right, We explained it all. You're right.

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<v Speaker 2>But what I was gonna say is, as part of

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<v Speaker 2>that conversation, you asked a really interesting question, which for once,

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<v Speaker 2>for once, which is why can't we have a one

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<v Speaker 2>click mortgage REFI do you remember that?

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<v Speaker 5>Yes?

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<v Speaker 4>So you know, like I've refiled a mortgage in my life.

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<v Speaker 4>It's kind of annoying. You know, if you're in the

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<v Speaker 4>right situation, you can save money and it's probably worth it,

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<v Speaker 4>but it involves a lot of paperwork, et cetera. And

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<v Speaker 4>you know, I think we're so used to one click

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<v Speaker 4>financial transaction, maybe two clicks or whatever.

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<v Speaker 6>You know.

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<v Speaker 4>One of the things that came up is that there

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<v Speaker 4>are often a lot of mortgages out there that theoretically

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<v Speaker 4>are sort of in the money where the borrower the

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<v Speaker 4>homeowner could take advantage of lower rates, but they don't

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<v Speaker 4>for whatever reason. Perhaps one reason is they don't know

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<v Speaker 4>that rates have getting down. Perhaps another reason is they

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<v Speaker 4>can't be bothered to do all the paperwork and stuff

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<v Speaker 4>and so there are these lag effects, and so I've

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<v Speaker 4>always sort of wondered, why can't you just have a

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<v Speaker 4>one click, one click refive well.

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<v Speaker 3>As a new lower rate.

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<v Speaker 2>As someone who lives in fear of paperwork, I think

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<v Speaker 2>this is an interesting question and we should talk about it.

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<v Speaker 2>And it turns out we actually have the perfect guest.

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<v Speaker 2>We're going to be speaking with someone who was involved

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<v Speaker 2>in a one click mortgage lender. Mike You, co founder

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<v Speaker 2>and CEO of Vesta. Mike, thank you so much for

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<v Speaker 2>coming on all thoughts.

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<v Speaker 6>Yeah, thanks for having me.

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<v Speaker 2>So why don't you give us a very quick career summary?

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<v Speaker 2>Why are we talking to you?

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<v Speaker 6>Yeah, so I've spent my entire career in the mortgage

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<v Speaker 6>industry on the tech side purely. I like to joke

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<v Speaker 6>that everyone who ends up in mortgage origination stumbles into

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<v Speaker 6>it by accident. So I worked at Blend.

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<v Speaker 4>Kids don't dream of like one day I'm going to

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<v Speaker 4>be a mortgage originator. You didn't dream of that when

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<v Speaker 4>you were in a elementary school. Anyway, keep going.

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<v Speaker 3>Sorry.

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<v Speaker 6>I actually when I'm recruiting engineers here at Vesta, I

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<v Speaker 6>tell them I'm like, you know, lots of founders will

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<v Speaker 6>give you some weird story about how they've dreamed about

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<v Speaker 6>doing this thing since they were twelve. I can tell

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<v Speaker 6>you the story like that, and you wouldn't believe me anyways,

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<v Speaker 6>So let's be honestly stumbled into it. I started at

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<v Speaker 6>a mortgage tech startup, Blend in twenty sixteen, so the

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<v Speaker 6>company was about fifty people back then, and we built

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<v Speaker 6>a ton of the bar we're facing experience for big banks,

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<v Speaker 6>big mortgage lenders, et cetera. But the goal really being

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<v Speaker 6>how you make the process more digital, like it was

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<v Speaker 6>all pay performs back then, even for the barer to

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<v Speaker 6>fill out, and then how do you know, eventually consolidate

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<v Speaker 6>that down into one click or one tap if you're

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<v Speaker 6>on mobile. That company went public in twenty one, but

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<v Speaker 6>I left in twenty twenty to go and build a

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<v Speaker 6>different startup, Vesta, where I think a lot of what

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<v Speaker 6>we struggled with that Blend was the core infrastructure in

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<v Speaker 6>the back end of the system made it really hard

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<v Speaker 6>to consolidate the mortgage process, accelerated, cut costs for lenders,

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<v Speaker 6>save time, and make it easier for borrowers, and so

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<v Speaker 6>kind of working on the back end system of record

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<v Speaker 6>now where I think a lot of the other technology

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<v Speaker 6>problems are and I think, as this is about one

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<v Speaker 6>click mortgages, I think there are of course some technology limitations,

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<v Speaker 6>which is why we started the whole company, But there's

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<v Speaker 6>also a fun variety of regulatory implications that I'm sure

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<v Speaker 6>we'll dive into today too. Great.

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<v Speaker 4>You know what's funny is I think not only on

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<v Speaker 4>the podcast did we talk about why were there no

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<v Speaker 4>one click refise available? I think we specifically put out

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<v Speaker 4>a call. We were like, have you've ever been in

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<v Speaker 4>a startup, some y combinator thing which is attempted to

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<v Speaker 4>do one click? Reach out to us? And you were

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<v Speaker 4>one of the I don't know if Blend was ever

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<v Speaker 4>a y combinator thing, but that's not really that important.

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<v Speaker 4>But you answered the call literally and you heard it and.

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<v Speaker 2>Sore the odd lots call.

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<v Speaker 4>Answered the odd lots call to You're the perfect guest. Obviously,

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<v Speaker 4>we want to get into what you're doing it investa

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<v Speaker 4>and just how it all works. Talk to us a

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<v Speaker 4>little bit more. What did Blend do to attempt to

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<v Speaker 4>solve the problem of I don't know if it really

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<v Speaker 4>gets to one click, but simplifying or streamlining the mortgage

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<v Speaker 4>application process.

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<v Speaker 6>Yeah, it's really funny because it's only been ten years,

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<v Speaker 6>but ten years ago, actually, if you wanted to get

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<v Speaker 6>a mortgage, you couldn't even go and apply on the internet.

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<v Speaker 6>I would actually say in the early days of Blend,

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<v Speaker 6>you know, twenty sixteen, seventeen, we'd talked to lenders and

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<v Speaker 6>they would be like, you don't understand people applying for

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<v Speaker 6>a mortgage. They don't want to do it online, which

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<v Speaker 6>just blew our mind. And there are a lot of

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<v Speaker 6>you know, old school loan officers who are like, I

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<v Speaker 6>call my borrower and I interview them, and I literally

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<v Speaker 6>take the paper it's called the ten oh three or

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<v Speaker 6>the uniform Residential Loan Application. I take this paper form

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<v Speaker 6>and I fill it out with a pencil. I pull

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<v Speaker 6>over to the side of the road. My bar was

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<v Speaker 6>talking to me on the phone. I take them through

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<v Speaker 6>my process and I fill it out with pen and pencil.

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<v Speaker 6>Then I give it to my assistant and they go

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<v Speaker 6>like type it into the back end system. And we

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<v Speaker 6>were getting this kind of pushback left, right and center

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<v Speaker 6>in the early days, really just around the idea that

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<v Speaker 6>people wouldn't want to apply online. And then rockets big

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<v Speaker 6>Super Bowl, the ad came out push button Get Mortgage,

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<v Speaker 6>and then all the banks are like, oh, well, if

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<v Speaker 6>Rocket's going to do it, we'd probably need something competitive

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<v Speaker 6>with this, And I would say that was really an

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<v Speaker 6>inflection point for that company. But so much of it

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<v Speaker 6>was like, if you want to get to a one

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<v Speaker 6>click mortgage, well, first of all, you need people applying

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<v Speaker 6>for the mortgage on the Internet, not via physical paper.

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<v Speaker 6>And then it really becomes about how do you start

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<v Speaker 6>to pull in the data from all these various sources.

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<v Speaker 6>So Blend was one of the first to work with

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<v Speaker 6>some of the GSS on getting asset data direct from

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<v Speaker 6>the banks and pulling that into the mortgage application so

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<v Speaker 6>you can get faster underwriting and not needing to upload

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<v Speaker 6>a whole bunch of paperwork and bank statements. Similar things

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<v Speaker 6>for like income data, and then people are making big

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<v Speaker 6>pushes around property data and AVMs. It's a whole variety

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<v Speaker 6>of data sources you've kind of got to stitch together

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<v Speaker 6>in order to really save the barrow from sending in

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<v Speaker 6>a whole bunch of paperwork. Because one thing that I

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<v Speaker 6>think is a little less obvious when you send the

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<v Speaker 6>lender your pay stub, you're not just proving that you

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<v Speaker 6>have the income. They actually take a bunch of the

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<v Speaker 6>numbers on that pay stub that they didn't ask you

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<v Speaker 6>to fill out anywhere, and fill that out in a

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<v Speaker 6>spreadsheet or something to calculate your income based on their

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<v Speaker 6>models and what the GSS tell them to do and

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<v Speaker 6>things like that, and so so much of it was

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<v Speaker 6>just if you can digitize the process and get that

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<v Speaker 6>data in a structured format from a whole bunch of sources.

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<v Speaker 6>At the beginning, the belief was that's really going to

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<v Speaker 6>drive you towards a faster and more efficient process and

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<v Speaker 6>eventually one quick So you.

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<v Speaker 2>Mentioned the GSS a couple times there. I imagine if

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<v Speaker 2>you're doing a mortgage, at some point you're going to

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<v Speaker 2>have to get the guarantee from Fanny and Freddy, and

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<v Speaker 2>so you're going to have to go through them. What

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<v Speaker 2>are their systems, Like you mentioned you worked with them, Like,

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<v Speaker 2>how did you plug in to the GSE systems?

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<v Speaker 6>Yeah, So, as you might expect from a couple of

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<v Speaker 6>large financial institutions that are also now under conservatorship, their

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<v Speaker 6>systems are definitely of varying degrees of maturity. One thing

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<v Speaker 6>that I will say that I actually really appreciate about

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<v Speaker 6>both Fanny and Freddy is they have invested a lot

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<v Speaker 6>in technology over the last decade. I think when you

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<v Speaker 6>get down to it, financial products are all The nice

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<v Speaker 6>thing is there's no physical commodity, right, It's all money

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<v Speaker 6>and numbers in a ledger, And so I think they've

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<v Speaker 6>definitely started to embrace their role more as needing to

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<v Speaker 6>provide technology to the ecosystem that is modern, that is effective,

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<v Speaker 6>but very honestly like the core piece of technology they

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<v Speaker 6>built that gives you guidance on whether your loan is

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<v Speaker 6>going to qualify or not. For sell to Fanil Freddy.

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<v Speaker 6>It's called Desktop Underwriter in the Fanny case and Loan

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<v Speaker 6>Product Advisor in the Freddie case. The original versions were

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<v Speaker 6>built in the nineties and so definitely some older systems

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<v Speaker 6>it's all still you know, XML system to system conversation

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<v Speaker 6>if you can integrate to them at all. Some of

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<v Speaker 6>the systems don't have any capability for system to system integration,

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<v Speaker 6>and so if you want to actually sell the loan

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<v Speaker 6>to Fanil Freddy, someone has to go to their existing

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<v Speaker 6>loan origination system, download an XML file, log into their

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<v Speaker 6>website and upload it. So there's definitely, I would say

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<v Speaker 6>varying degrees of modernization and capability across those technology systems.

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<v Speaker 6>And that is I would say, no more true at

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<v Speaker 6>Fany and Freddi than it is that most of the

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<v Speaker 6>major financial institutions you think about, even most of the

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<v Speaker 6>smaller lenders you think about, it's all kind of on

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<v Speaker 6>the spectrum of everything was built between one and thirty

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<v Speaker 6>years ago, and everyone's got to kind of move. Thirty

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<v Speaker 6>years is long left in technology. Everyone's got to kind

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<v Speaker 6>of move and rebuild a new version of this, new

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<v Speaker 6>version of that.

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<v Speaker 2>Oh yeah, Joe, I remember you know those charts that

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<v Speaker 2>show like all the acquisitions that a Jpmore oh yeah,

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<v Speaker 2>or a Bank of America has done. It's sort of

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<v Speaker 2>like a flow chart. Yeah, every single one of those

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<v Speaker 2>probably has a different IT system, right, So I always

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<v Speaker 2>hear that one of the big difficulties in building a

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<v Speaker 2>giant bank is basically sorting out the.

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<v Speaker 4>IT totally big institutions, you know, it's easy to sort

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<v Speaker 4>of assume that sort of CLOSEI government institutions are going

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<v Speaker 4>to be worse on so forth, and maybe sometimes that's

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<v Speaker 4>correct and sometimes that's not. But big gigantic institutions, particularly

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<v Speaker 4>ones that had all kinds of mergers and roll ups,

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<v Speaker 4>et cetera. They all have this, and this has been

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<v Speaker 4>something that's come up a little bit in the past.

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<v Speaker 4>We've done some episodes on bank software in general, and

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<v Speaker 4>so I'm not particularly surprised to hear that Fanny and

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<v Speaker 4>Freddy have a lot of still work to do, even

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<v Speaker 4>if they have invested.

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<v Speaker 3>Why is it hard?

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<v Speaker 4>Maybe from your perspective, from the perspective of either a

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<v Speaker 4>Fany or Freddy or just any other gigantic financial institution,

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<v Speaker 4>how would you describe why it's challenging to update these

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<v Speaker 4>systems so that they resemble the type of software we're

0:10:24.520 --> 0:10:26.000
<v Speaker 4>used to in twenty twenty four.

0:10:26.320 --> 0:10:30.720
<v Speaker 6>Definitely, Maybe I'll start even way back, like fifty years ago.

0:10:30.840 --> 0:10:32.840
<v Speaker 2>Are we going to talk about Kobyl? I hope, so

0:10:33.280 --> 0:10:33.920
<v Speaker 2>we can.

0:10:33.960 --> 0:10:36.600
<v Speaker 6>Talk about Cobyl if you'd like. But I think it

0:10:36.679 --> 0:10:38.880
<v Speaker 6>actually when I was at Blend, I was fortunate enough

0:10:38.880 --> 0:10:40.960
<v Speaker 6>to work with tim Myoppolis, who was before I Blend,

0:10:41.000 --> 0:10:43.040
<v Speaker 6>the CEO at Fanny May and he has this line

0:10:43.040 --> 0:10:45.200
<v Speaker 6>which really stuck with me, which is that everyone says

0:10:45.200 --> 0:10:47.920
<v Speaker 6>that banks are like slow adopters of technology, but the

0:10:47.960 --> 0:10:50.520
<v Speaker 6>problem with banks actually is that they were very early

0:10:50.520 --> 0:10:53.599
<v Speaker 6>adopters of technology, right going back to everything really is

0:10:53.640 --> 0:10:55.640
<v Speaker 6>just a number inside a spreadsheet at a bank. There's

0:10:55.679 --> 0:10:59.280
<v Speaker 6>no corn that you're shipping or gold bars or whatnot.

0:11:00.000 --> 0:11:03.080
<v Speaker 6>Anctial services industry was really an early adoperative technology. What

0:11:03.120 --> 0:11:06.120
<v Speaker 6>that means is they installed a lot of technology very

0:11:06.200 --> 0:11:08.920
<v Speaker 6>very early on that then became harder and harder to

0:11:08.960 --> 0:11:11.360
<v Speaker 6>rip out. And one thing that we find, for example

0:11:11.480 --> 0:11:13.640
<v Speaker 6>at BESTA where we're replacing one of these core systems,

0:11:13.960 --> 0:11:16.400
<v Speaker 6>when I talk to other founders in the technology space,

0:11:16.559 --> 0:11:19.040
<v Speaker 6>it's much easier to install a new system to replace

0:11:19.080 --> 0:11:22.000
<v Speaker 6>a spreadsheet that just like so obviously doesn't work. The

0:11:22.120 --> 0:11:24.600
<v Speaker 6>enterprise security is terrible, the controls are terrible, et cetera.

0:11:25.120 --> 0:11:27.800
<v Speaker 6>Then to get someone to upgrade a system that you

0:11:27.800 --> 0:11:30.080
<v Speaker 6>know kind of works for them. It's clunky, it's inefficient,

0:11:30.080 --> 0:11:33.400
<v Speaker 6>it's slow, but it isn't a burning pain where they like, oh,

0:11:33.400 --> 0:11:36.240
<v Speaker 6>if I don't modernize, I'm going to lose the business

0:11:36.320 --> 0:11:38.640
<v Speaker 6>or lose my job or something. On the other hand,

0:11:38.679 --> 0:11:40.559
<v Speaker 6>I would say there's a very strong incentive in all

0:11:40.559 --> 0:11:42.840
<v Speaker 6>these big institutions if you try and do like a

0:11:42.920 --> 0:11:46.320
<v Speaker 6>huge modernization project of a big existing system of record

0:11:47.120 --> 0:11:49.640
<v Speaker 6>and it doesn't work, you're basically putting your job on

0:11:49.679 --> 0:11:52.040
<v Speaker 6>the line. And if it does work as a CIO

0:11:52.160 --> 0:11:55.000
<v Speaker 6>or a line level CIO at a bank, you're getting

0:11:55.000 --> 0:11:57.040
<v Speaker 6>a small promotion. I was just that the trade off

0:11:57.040 --> 0:11:57.600
<v Speaker 6>is pretty bad.

0:11:57.760 --> 0:11:59.520
<v Speaker 4>I was just going to ask, like, how much is

0:11:59.559 --> 0:12:05.920
<v Speaker 4>it tech qua tech versus institutional inertia and incentives that

0:12:06.000 --> 0:12:09.120
<v Speaker 4>really create that problem of why it's harder to upgrade.

0:12:09.240 --> 0:12:12.840
<v Speaker 6>I think it's mostly institutional inertial incentives. There certainly is

0:12:12.960 --> 0:12:14.679
<v Speaker 6>a lot of work that actually goes into it, right,

0:12:14.679 --> 0:12:16.440
<v Speaker 6>and so you've got to get budget, et cetera. Yeah,

0:12:16.480 --> 0:12:19.520
<v Speaker 6>but it's all very tractable. I will say in financial

0:12:19.520 --> 0:12:22.040
<v Speaker 6>services there are relatively few technology problems that are like

0:12:22.160 --> 0:12:25.960
<v Speaker 6>fundamentally hard technology problems, like we're not launching rockets over here.

0:12:26.120 --> 0:12:29.040
<v Speaker 6>They all tend to be people problems. Organizational problems are

0:12:29.080 --> 0:12:44.079
<v Speaker 6>problems that get in the way.

0:12:45.720 --> 0:12:48.120
<v Speaker 2>Can you talk to us about the sort of life

0:12:48.200 --> 0:12:51.920
<v Speaker 2>cycle of a mortgage in terms of technology, so like

0:12:52.080 --> 0:12:54.920
<v Speaker 2>what's the first thing that happens, what system is it

0:12:55.000 --> 0:12:57.040
<v Speaker 2>put into, and then where does it go next?

0:12:57.480 --> 0:12:59.880
<v Speaker 6>Sure, so we're talking one click refive today, So we'll

0:12:59.880 --> 0:13:02.680
<v Speaker 6>start with a refive in let's call it a relatively

0:13:02.679 --> 0:13:05.679
<v Speaker 6>idealized case. Let let's stop the real ideal, which is

0:13:05.679 --> 0:13:06.960
<v Speaker 6>like the bar is going to get an email from

0:13:07.000 --> 0:13:10.000
<v Speaker 6>their servicer right which says, hey, you're in the money, Like,

0:13:10.080 --> 0:13:11.920
<v Speaker 6>we service your loan, we know what you pay, we

0:13:12.000 --> 0:13:14.560
<v Speaker 6>know what rates are, we know you know roughly our

0:13:14.559 --> 0:13:16.920
<v Speaker 6>credit profile. We can tell you that you probably want

0:13:16.960 --> 0:13:19.280
<v Speaker 6>to refinance. So the consumer is going to click on

0:13:19.320 --> 0:13:21.319
<v Speaker 6>that link and they're normally going to go and fill

0:13:21.360 --> 0:13:23.600
<v Speaker 6>out an online application. Today they're going to go type

0:13:23.640 --> 0:13:25.480
<v Speaker 6>in a whole bunch of their data. Again, I think

0:13:25.760 --> 0:13:27.680
<v Speaker 6>you probably know your servicer has a ton of data

0:13:27.679 --> 0:13:29.320
<v Speaker 6>on you. Do you really need to type it in?

0:13:29.360 --> 0:13:31.320
<v Speaker 6>And this varies kind of depending on how tech forward

0:13:31.360 --> 0:13:33.520
<v Speaker 6>your servicer is, but often people are still typing in

0:13:33.559 --> 0:13:36.640
<v Speaker 6>their whole application. Again, they're uploading a whole bunch of documents.

0:13:36.679 --> 0:13:39.680
<v Speaker 6>And this is kind of sitting in the consumer facing system,

0:13:39.840 --> 0:13:41.440
<v Speaker 6>which today is you know, they call it a point

0:13:41.480 --> 0:13:43.719
<v Speaker 6>of sale. This is the space where really Blend is

0:13:43.760 --> 0:13:46.440
<v Speaker 6>the category leader now. And so the bar is going

0:13:46.440 --> 0:13:48.080
<v Speaker 6>to kind of type all that information in, They're going

0:13:48.120 --> 0:13:50.240
<v Speaker 6>to hit submit. That's going to push it to what's

0:13:50.280 --> 0:13:52.800
<v Speaker 6>called the loan origination system on the back end, and

0:13:52.920 --> 0:13:54.560
<v Speaker 6>you can think of that as both the system of

0:13:54.600 --> 0:13:56.679
<v Speaker 6>record and it's going to do all the compliance checks.

0:13:56.920 --> 0:13:58.319
<v Speaker 6>It's where the people are going to do all the

0:13:58.360 --> 0:14:01.839
<v Speaker 6>processing and the underwriting or any automated underwriting might happen.

0:14:02.080 --> 0:14:03.800
<v Speaker 6>And it's also the system that's going to be integrated

0:14:03.840 --> 0:14:07.240
<v Speaker 6>to like fifteen other systems. So one really annoying thing

0:14:07.280 --> 0:14:09.920
<v Speaker 6>about the mortgage ecosystem is to produce your loan from

0:14:09.920 --> 0:14:12.680
<v Speaker 6>front to back, you're probably hitting at least fifteen different

0:14:12.720 --> 0:14:13.520
<v Speaker 6>technology vendors.

0:14:14.000 --> 0:14:16.199
<v Speaker 4>Can you run some what are some of these in?

0:14:16.240 --> 0:14:18.360
<v Speaker 4>What different parts of the stack are they serving? You

0:14:18.360 --> 0:14:20.480
<v Speaker 4>don't have to list all at fifteen, but give us

0:14:20.520 --> 0:14:23.440
<v Speaker 4>an example of like the various things that need to

0:14:23.440 --> 0:14:24.680
<v Speaker 4>be hit and who's doing them.

0:14:25.000 --> 0:14:27.280
<v Speaker 6>Yeah, so I think of it as there's a whole

0:14:27.280 --> 0:14:29.240
<v Speaker 6>bunch of stuff around the property, right, so you've got

0:14:29.240 --> 0:14:30.680
<v Speaker 6>to go to a title company, you've got to go

0:14:30.680 --> 0:14:33.240
<v Speaker 6>to an appraisal management company kind of get the appraisal.

0:14:33.280 --> 0:14:34.840
<v Speaker 6>So there's a whole bunch of stuff around the property.

0:14:35.000 --> 0:14:37.160
<v Speaker 6>Someone's got to check what flood zone it's in. And

0:14:37.200 --> 0:14:39.360
<v Speaker 6>we'll get into why some of the rules are really

0:14:39.400 --> 0:14:41.000
<v Speaker 6>hard to change. But if you want to know what

0:14:41.000 --> 0:14:43.240
<v Speaker 6>flood zone a property is in. I mean you can

0:14:43.240 --> 0:14:45.280
<v Speaker 6>go on house Canary or Zillow and kind of figure

0:14:45.280 --> 0:14:46.920
<v Speaker 6>that out pretty quickly. If you want to sell a

0:14:46.920 --> 0:14:48.920
<v Speaker 6>mortgage to the GSS, you've actually got to hit one

0:14:48.920 --> 0:14:52.240
<v Speaker 6>of their four or five designated flood certificate providers for

0:14:52.280 --> 0:14:55.360
<v Speaker 6>an official flood certificate quote unquote, which is really just

0:14:55.760 --> 0:14:58.240
<v Speaker 6>you know, those are the providers that signed a deal

0:14:58.280 --> 0:15:00.320
<v Speaker 6>with the gs S where they get the FEMA maps

0:15:00.320 --> 0:15:02.160
<v Speaker 6>that everyone else gets and they produce a piece of

0:15:02.160 --> 0:15:04.760
<v Speaker 6>paper that's official enough and the GSS trust them. So

0:15:04.800 --> 0:15:07.200
<v Speaker 6>that's a provider you basically have to hit. And so

0:15:07.240 --> 0:15:09.480
<v Speaker 6>there's a whole variety of property you know, vendors you've

0:15:09.480 --> 0:15:11.600
<v Speaker 6>got to hit around those categories. There's a bunch of

0:15:11.680 --> 0:15:13.560
<v Speaker 6>bar er vendors you've got to hit around. The pulling

0:15:13.600 --> 0:15:15.520
<v Speaker 6>credit is the obvious one, but you're going to want

0:15:15.520 --> 0:15:17.240
<v Speaker 6>to verify their income. You're going to want to look

0:15:17.280 --> 0:15:19.840
<v Speaker 6>them up in fraud databases. So there's a whole set

0:15:19.880 --> 0:15:22.240
<v Speaker 6>of those, and then there's a bunch of compliance stuff

0:15:22.280 --> 0:15:24.960
<v Speaker 6>to do. So generally, you know, there are entire companies

0:15:24.960 --> 0:15:27.000
<v Speaker 6>that are dedicated to I have all the data in

0:15:27.000 --> 0:15:29.040
<v Speaker 6>the mortgage, and I'm going to prepare the disclosures for you.

0:15:29.360 --> 0:15:32.240
<v Speaker 6>Like the disclosures are so complicated, that's less a technology problem.

0:15:32.320 --> 0:15:34.480
<v Speaker 6>That's like that those companies have an army of lawyers

0:15:34.760 --> 0:15:37.760
<v Speaker 6>who basically read all the regulatory updates, all the updates

0:15:37.800 --> 0:15:39.960
<v Speaker 6>in each of the thirty eight hundred counties in the US,

0:15:40.280 --> 0:15:43.400
<v Speaker 6>any state updates, any investor updates around exactly what you

0:15:43.440 --> 0:15:45.440
<v Speaker 6>have to tell the consumer before they can kind of

0:15:45.440 --> 0:15:47.560
<v Speaker 6>sign a lian on their property, which, as you know,

0:15:47.600 --> 0:15:50.680
<v Speaker 6>like some states are very onerous about that. And so

0:15:50.840 --> 0:15:54.120
<v Speaker 6>between compliance and property and kind of checking the borrower,

0:15:54.440 --> 0:15:56.680
<v Speaker 6>there's just this whole constellation of stuff that has to

0:15:56.680 --> 0:15:58.600
<v Speaker 6>be done, a lot of data sources and a lot

0:15:58.640 --> 0:15:59.120
<v Speaker 6>of rules.

0:16:00.120 --> 0:16:02.280
<v Speaker 2>Talk to us a bit more about the rules then,

0:16:02.440 --> 0:16:06.880
<v Speaker 2>Like I'm curious how these rules come into place, what

0:16:07.120 --> 0:16:09.600
<v Speaker 2>sort of factors they're being based on, and then how

0:16:09.640 --> 0:16:11.360
<v Speaker 2>often they actually change.

0:16:11.680 --> 0:16:13.400
<v Speaker 6>Yeah, I kind of think of rules in two buckets. There.

0:16:13.400 --> 0:16:15.640
<v Speaker 6>Of course, the regulatory rules, so you can imagine a

0:16:15.640 --> 0:16:18.800
<v Speaker 6>ton of those regulatory rules were driven by seven eight

0:16:19.240 --> 0:16:21.400
<v Speaker 6>and a lot of the things that we saw during

0:16:21.440 --> 0:16:23.120
<v Speaker 6>the Great Financial Crisis or that kind of led up

0:16:23.120 --> 0:16:25.600
<v Speaker 6>to the Great financial crisis, so a lot of regulatory

0:16:25.600 --> 0:16:28.320
<v Speaker 6>stuff around what you disclose the consumers around you know,

0:16:28.360 --> 0:16:31.120
<v Speaker 6>you have to qualify their ability to repay in order

0:16:31.200 --> 0:16:34.320
<v Speaker 6>to have a compliant loan. So there's lots of regulatory stuff.

0:16:34.320 --> 0:16:36.960
<v Speaker 6>And then there's investor rules, which overwhelmingly you know, come

0:16:36.960 --> 0:16:39.520
<v Speaker 6>from Fanny er Freddy. There is a small private label

0:16:39.520 --> 0:16:42.360
<v Speaker 6>market and some other stuff. One thing that is true

0:16:42.440 --> 0:16:44.800
<v Speaker 6>about all of these rules, right the investor rules and

0:16:44.840 --> 0:16:47.440
<v Speaker 6>the regulatory rules, is they're both kind of set again

0:16:47.800 --> 0:16:51.560
<v Speaker 6>talking about organizational inertia by pseudo government institutions that have

0:16:51.640 --> 0:16:54.120
<v Speaker 6>really been burned by mortgages in the last two decades,

0:16:54.160 --> 0:16:57.320
<v Speaker 6>and so they're pretty you know, nervous about that, and

0:16:57.760 --> 0:17:00.960
<v Speaker 6>there's very little incentive to simplify the process to remove rules,

0:17:01.280 --> 0:17:03.480
<v Speaker 6>and so the rules change. I would say every month

0:17:03.560 --> 0:17:06.119
<v Speaker 6>or two you get a few new rules from the investors,

0:17:06.400 --> 0:17:09.119
<v Speaker 6>but they very rarely subtract rules, which tends to be

0:17:09.160 --> 0:17:10.840
<v Speaker 6>a reason that you end up with. I want to say,

0:17:10.840 --> 0:17:13.640
<v Speaker 6>the fan selling Guide is now twelve hundred pages basically

0:17:13.640 --> 0:17:15.880
<v Speaker 6>of rules that the loan has to satisfy. And these

0:17:15.960 --> 0:17:18.600
<v Speaker 6>rules can vary from you know, relatively straightforward things like

0:17:18.640 --> 0:17:21.960
<v Speaker 6>you can't refinance an FAJ loan within a certain amount

0:17:22.000 --> 0:17:25.080
<v Speaker 6>of time after the loan was originally originated, so there's

0:17:25.080 --> 0:17:27.280
<v Speaker 6>like a seasoning requirement. You know, there's a lot of

0:17:27.280 --> 0:17:29.719
<v Speaker 6>documentation rules, like if you're going to provide an income

0:17:29.760 --> 0:17:31.840
<v Speaker 6>to Fanny May, you normally have to have a pasteb

0:17:31.880 --> 0:17:33.719
<v Speaker 6>and in W two attached to it to kind of

0:17:34.200 --> 0:17:36.879
<v Speaker 6>verify that income. And you get into like really complex

0:17:36.920 --> 0:17:38.760
<v Speaker 6>and arcane rules as well, once you get into twelve

0:17:38.800 --> 0:17:41.200
<v Speaker 6>hundred pages, like are you allowed to have a ten

0:17:41.240 --> 0:17:43.840
<v Speaker 6>percent increase in income year over year and use that

0:17:43.880 --> 0:17:46.479
<v Speaker 6>new income, Well, you have to document that a certain way.

0:17:46.520 --> 0:17:48.199
<v Speaker 6>If it's about thirty percent, you have to document it

0:17:48.200 --> 0:17:50.840
<v Speaker 6>another way. So a whole kind of slew of rules,

0:17:50.880 --> 0:17:53.199
<v Speaker 6>which is why you have this huge body of people

0:17:53.280 --> 0:17:55.320
<v Speaker 6>basically that have to work on every single loan because

0:17:55.320 --> 0:17:56.359
<v Speaker 6>they have to learn all the rules.

0:17:57.040 --> 0:18:00.440
<v Speaker 4>So one thing that would be really nice and gets

0:18:00.440 --> 0:18:02.800
<v Speaker 4>to the one clickness of what we're trying to get at,

0:18:03.000 --> 0:18:06.840
<v Speaker 4>is if it were really easy to pull in data

0:18:06.920 --> 0:18:09.560
<v Speaker 4>quickly from all these disparate providers. So I go to

0:18:09.840 --> 0:18:13.240
<v Speaker 4>your website and I want you to know my income,

0:18:13.680 --> 0:18:16.520
<v Speaker 4>and maybe I want you to know my assets that

0:18:16.600 --> 0:18:18.560
<v Speaker 4>I have, but I'm not sure if that's as important

0:18:18.560 --> 0:18:20.639
<v Speaker 4>in a mortgage. And I want you to know the

0:18:20.720 --> 0:18:24.400
<v Speaker 4>location of my property so that you can do various things,

0:18:24.440 --> 0:18:28.960
<v Speaker 4>including see what the floodplain looks like. The various providers

0:18:29.000 --> 0:18:31.520
<v Speaker 4>of this stuff, so one of the providers might be

0:18:31.640 --> 0:18:35.399
<v Speaker 4>my payroll provider. Another provider might be the bank that

0:18:35.480 --> 0:18:39.880
<v Speaker 4>I use, the bank online, et cetera. How forthcoming are

0:18:39.920 --> 0:18:44.600
<v Speaker 4>they in making these systems easy for a third party,

0:18:44.720 --> 0:18:48.399
<v Speaker 4>say yours or a Blend or some other fintech or

0:18:48.440 --> 0:18:52.119
<v Speaker 4>a rocket, et cetera, to just go access them such

0:18:52.200 --> 0:18:55.800
<v Speaker 4>that I don't have to download PDFs and then re

0:18:55.880 --> 0:18:56.960
<v Speaker 4>upload them somewhere else.

0:18:57.640 --> 0:18:59.800
<v Speaker 6>Yeah. So I imagine you're asking because you know the

0:19:00.119 --> 0:19:02.880
<v Speaker 6>is going to be their very mixed results. So when

0:19:02.880 --> 0:19:04.919
<v Speaker 6>it comes to banks, for example, there have been a

0:19:04.960 --> 0:19:07.560
<v Speaker 6>whole advent of new kind of players that help you

0:19:07.560 --> 0:19:11.520
<v Speaker 6>connect your banking data. Claid is the big one exactly,

0:19:11.760 --> 0:19:14.000
<v Speaker 6>and then the banks, I would say, clearly had mixed

0:19:14.000 --> 0:19:16.040
<v Speaker 6>feelings about it. People are worried about the security of

0:19:16.080 --> 0:19:18.240
<v Speaker 6>people typing their bank password on something that's not the

0:19:18.240 --> 0:19:21.760
<v Speaker 6>bank's website. They're very notably over the last ten years

0:19:21.840 --> 0:19:23.600
<v Speaker 6>or so but a number of times in Chase just

0:19:23.600 --> 0:19:26.960
<v Speaker 6>shut off PLAIDS access, and so there certainly was some

0:19:27.560 --> 0:19:30.800
<v Speaker 6>complexity in that relationship. Earlier on with you know, some

0:19:30.880 --> 0:19:32.720
<v Speaker 6>of what's going on in open banking in the US.

0:19:32.760 --> 0:19:34.280
<v Speaker 6>I think the idea that you'll have access to your

0:19:34.280 --> 0:19:36.679
<v Speaker 6>own asset information is definitely a place the regulators are

0:19:36.680 --> 0:19:40.200
<v Speaker 6>pushing as well, and that gets easier and easier every year.

0:19:40.760 --> 0:19:43.560
<v Speaker 6>Payroll is a particularly interesting one. It's a very hot

0:19:43.600 --> 0:19:47.000
<v Speaker 6>topic in the mortgage world now because everyone basically uses

0:19:47.000 --> 0:19:50.080
<v Speaker 6>a product offered by appuifacts called the work number, which

0:19:50.080 --> 0:19:52.320
<v Speaker 6>you may have heard of. So the work number it

0:19:52.400 --> 0:19:55.080
<v Speaker 6>basically they have a partnership with ADP where ADP charges

0:19:55.119 --> 0:19:57.840
<v Speaker 6>them a very large amount of money actually to use

0:19:57.880 --> 0:20:00.480
<v Speaker 6>the borrow's social to look up the data. Work number

0:20:00.480 --> 0:20:02.359
<v Speaker 6>turns around and marks that up a whole bunch. So

0:20:02.400 --> 0:20:04.520
<v Speaker 6>they also charge a ton of money to the lender.

0:20:04.720 --> 0:20:07.280
<v Speaker 6>So I've heard of lender spending you know, like four

0:20:07.359 --> 0:20:09.920
<v Speaker 6>or five six hundred dollars a loon like to close

0:20:09.960 --> 0:20:13.119
<v Speaker 6>one loan to get that income and employment data in

0:20:13.160 --> 0:20:15.200
<v Speaker 6>this digitized way via the work number, which is I

0:20:15.240 --> 0:20:19.600
<v Speaker 6>think obviously ridiculous, And so there certainly is some struggle

0:20:19.640 --> 0:20:21.480
<v Speaker 6>going on with the data ecosystem. There are a bunch

0:20:21.520 --> 0:20:23.560
<v Speaker 6>of startups now trying to basically do a plaid did

0:20:23.560 --> 0:20:26.040
<v Speaker 6>where the barer can log into their payroll provider. One

0:20:26.080 --> 0:20:27.919
<v Speaker 6>problem you might imagine with that is like, do you

0:20:27.960 --> 0:20:30.159
<v Speaker 6>know your payroll password? Because I don't even know you

0:20:30.160 --> 0:20:32.480
<v Speaker 6>know who my provider is, no idea, and so there

0:20:32.520 --> 0:20:35.040
<v Speaker 6>certainly is some difficulty in getting the data together. I

0:20:35.040 --> 0:20:37.040
<v Speaker 6>would say that Ecosystem's made a lot of progress on

0:20:37.080 --> 0:20:40.119
<v Speaker 6>that in the last ten years, but payroll and income

0:20:40.160 --> 0:20:42.160
<v Speaker 6>tends to be a lot harder because it's much more fragmented.

0:20:42.200 --> 0:20:44.359
<v Speaker 6>And with banking and open banking and every bank you

0:20:44.359 --> 0:20:47.240
<v Speaker 6>know has some kind of electronic system of record, that's

0:20:47.280 --> 0:20:49.360
<v Speaker 6>a problem where I'd say they've made a lot more progress.

0:20:50.119 --> 0:20:54.400
<v Speaker 2>How much does mortgage financing depend on just your sort

0:20:54.400 --> 0:20:57.320
<v Speaker 2>of basic mail. I want to be able to say

0:20:57.359 --> 0:21:00.000
<v Speaker 2>the housing market is powered by FedEx or something.

0:21:01.200 --> 0:21:04.200
<v Speaker 6>So actually every closing I wouldn't say every closing package,

0:21:04.240 --> 0:21:06.399
<v Speaker 6>but the vast mandory of closing packages in this country,

0:21:06.440 --> 0:21:09.119
<v Speaker 6>like you go to your lender or a title office

0:21:09.119 --> 0:21:11.000
<v Speaker 6>and you sign the closing doc and the notes and

0:21:11.040 --> 0:21:14.439
<v Speaker 6>whatnot to actually the legally binding piece of paper that

0:21:14.520 --> 0:21:16.280
<v Speaker 6>says there is a lean on my property. Now, like

0:21:16.320 --> 0:21:18.440
<v Speaker 6>I have to pay this loan back, and that gets

0:21:18.440 --> 0:21:20.919
<v Speaker 6>FedEx back to the lender, and the lender then you know,

0:21:20.960 --> 0:21:23.159
<v Speaker 6>scans it, they upload it to their electronic system and

0:21:23.160 --> 0:21:24.720
<v Speaker 6>they turn around and they like FedEx that to a

0:21:24.760 --> 0:21:27.479
<v Speaker 6>doc custodian. And some lenders are more efficient with their

0:21:27.480 --> 0:21:29.640
<v Speaker 6>FedEx schemes than others on like it just goes straight

0:21:29.680 --> 0:21:31.639
<v Speaker 6>to the doc custodian and the DAK custodian scans and

0:21:31.680 --> 0:21:33.600
<v Speaker 6>sends it to them. But I would say that very

0:21:33.680 --> 0:21:37.040
<v Speaker 6>much all of the actual debt and recording and like

0:21:37.080 --> 0:21:41.439
<v Speaker 6>all of the legally binding stuff, probably ninety percent plus

0:21:41.560 --> 0:21:44.119
<v Speaker 6>is still physical pieces of paper that are getting mailed around.

0:21:44.280 --> 0:21:46.840
<v Speaker 6>There was a big trend, especially in twenty twenty, around

0:21:46.880 --> 0:21:49.600
<v Speaker 6>how do you digitize those notes? Hey do you e closing?

0:21:49.880 --> 0:21:51.240
<v Speaker 6>Then it's a matter off. You've got to get thirty

0:21:51.280 --> 0:21:53.400
<v Speaker 6>eight hundred counties to accept it, all the title companies

0:21:53.400 --> 0:21:55.560
<v Speaker 6>have to accept it, et cetera. So the big network

0:21:55.640 --> 0:21:57.719
<v Speaker 6>problem again, you're probably hearing a theme of it's just

0:21:57.800 --> 0:22:00.800
<v Speaker 6>like organizational inertia. Yeah, but you've very much can say

0:22:00.800 --> 0:22:04.320
<v Speaker 6>that home financing is still powered by FedEx because pretty

0:22:04.359 --> 0:22:06.159
<v Speaker 6>much everyone, I mean, we have a field in our

0:22:06.160 --> 0:22:08.000
<v Speaker 6>system where people are like, we need a FedEx tracking

0:22:08.040 --> 0:22:10.560
<v Speaker 6>number field for the note, like not even kidding. That

0:22:10.600 --> 0:22:12.000
<v Speaker 6>could be really cool if you could integrate that to

0:22:12.040 --> 0:22:14.399
<v Speaker 6>FedEx to like automate like looking at the tracking. And

0:22:14.400 --> 0:22:16.240
<v Speaker 6>it's like, of course you can do that technology wise,

0:22:16.359 --> 0:22:18.320
<v Speaker 6>but sometimes you ask yourself, like, what problem are we

0:22:18.359 --> 0:22:20.840
<v Speaker 6>really solving here? Guys, like we should just move it

0:22:20.960 --> 0:22:21.440
<v Speaker 6>to the cloud.

0:22:22.320 --> 0:22:25.400
<v Speaker 4>So I think the last time I applied for a mortgage,

0:22:25.520 --> 0:22:29.440
<v Speaker 4>it's late twenty seventeen, and I just remember like documents

0:22:29.440 --> 0:22:32.320
<v Speaker 4>and documents and checkboxes, and I didn't read any of

0:22:32.359 --> 0:22:34.840
<v Speaker 4>those documents, had just signed the checkbox, and I assumed

0:22:34.840 --> 0:22:37.399
<v Speaker 4>it is all okay, Well were all those checkboxes I

0:22:37.520 --> 0:22:40.199
<v Speaker 4>was or signature boxes that I was putting a digital

0:22:40.200 --> 0:22:40.960
<v Speaker 4>signature into.

0:22:42.000 --> 0:22:45.920
<v Speaker 6>A lot of those signature boxes are basically people disclosing

0:22:45.960 --> 0:22:47.560
<v Speaker 6>your rights, So very similar.

0:22:47.200 --> 0:22:49.440
<v Speaker 3>To yeah, yea disclosure.

0:22:49.880 --> 0:22:52.240
<v Speaker 6>Yeah, It's like you sign something that gives them authorization

0:22:52.280 --> 0:22:54.159
<v Speaker 6>to pull your credit in many cases, and then you

0:22:54.240 --> 0:22:56.520
<v Speaker 6>sign something that you know it's like, hey, here's your

0:22:56.520 --> 0:22:58.320
<v Speaker 6>credit score and here's how it was calculated. In the

0:22:58.359 --> 0:23:01.320
<v Speaker 6>state of California, you might something which is like if

0:23:01.359 --> 0:23:04.000
<v Speaker 6>you are getting an FAHA loan with lead paint, which

0:23:04.000 --> 0:23:06.400
<v Speaker 6>I hope you didn't, there's a disclosure that says, hey,

0:23:06.520 --> 0:23:08.960
<v Speaker 6>like we determined that the house has some old lead paint,

0:23:09.000 --> 0:23:10.919
<v Speaker 6>Like sign here to acknowledge that we disclosed that to you.

0:23:11.480 --> 0:23:13.920
<v Speaker 6>And then the other thing that happens is because each

0:23:13.960 --> 0:23:16.600
<v Speaker 6>of these disclosures are legally mandated and it's really hard

0:23:16.640 --> 0:23:19.159
<v Speaker 6>to make sure that you signed all of them in

0:23:19.200 --> 0:23:21.240
<v Speaker 6>the one go, they'll just say, hey, when you first

0:23:21.240 --> 0:23:23.120
<v Speaker 6>apply for the loan and we disclose through the terms,

0:23:23.160 --> 0:23:25.160
<v Speaker 6>we're going to stick all of those disclosures in there,

0:23:25.440 --> 0:23:26.880
<v Speaker 6>and then when you get to the closing table, we're

0:23:26.880 --> 0:23:28.320
<v Speaker 6>going to put them in there again, just so we've

0:23:28.359 --> 0:23:30.159
<v Speaker 6>belt and suspender that you know you've signed it. Like

0:23:30.160 --> 0:23:32.640
<v Speaker 6>you're at the closing table, you're not going to walk

0:23:32.640 --> 0:23:34.200
<v Speaker 6>away now, Like, let's just make you sign it one

0:23:34.200 --> 0:23:36.359
<v Speaker 6>more time. So, probably if I had the guests, you

0:23:36.440 --> 0:23:38.840
<v Speaker 6>got fifty or something disclosures, depending on the state you

0:23:38.840 --> 0:23:40.520
<v Speaker 6>were in, there's a whole bunch of you know, state

0:23:40.800 --> 0:23:43.200
<v Speaker 6>some states are more owners than others. We probably also

0:23:43.240 --> 0:23:45.160
<v Speaker 6>signed each one and average like two and a half times.

0:23:45.200 --> 0:23:47.880
<v Speaker 4>I did just real quickly, how different was that experience

0:23:47.920 --> 0:23:50.520
<v Speaker 4>for me in twenty seventeen then it would have been

0:23:50.680 --> 0:23:53.440
<v Speaker 4>in two thousand and seven, before the mortgage crisis.

0:23:53.880 --> 0:23:55.560
<v Speaker 6>Well, in two thousand and seven, you can imagine there

0:23:55.560 --> 0:23:58.560
<v Speaker 6>were way fewer disclosures. Actually, in twenty fifteen they passed

0:23:58.600 --> 0:24:01.439
<v Speaker 6>what's called TRID or tie the rest but integrated disclosures,

0:24:01.760 --> 0:24:03.679
<v Speaker 6>which is actually the main reason you can't have a

0:24:03.720 --> 0:24:07.160
<v Speaker 6>one click coage today. So TRID puts a minimum timeline

0:24:07.160 --> 0:24:09.159
<v Speaker 6>as well, where you have to give people, you know,

0:24:09.200 --> 0:24:11.879
<v Speaker 6>within three days of getting what's called a full application,

0:24:12.200 --> 0:24:13.720
<v Speaker 6>you have to provide them an estimate of all the

0:24:13.760 --> 0:24:16.679
<v Speaker 6>fees that like really clearly in a very standardized format,

0:24:16.680 --> 0:24:19.480
<v Speaker 6>discloses all the fees that comes with a bunch of disclosures.

0:24:19.720 --> 0:24:21.600
<v Speaker 6>And then you have to give the bar or seven

0:24:21.640 --> 0:24:24.720
<v Speaker 6>business days from giving them that loan estimate to close

0:24:24.760 --> 0:24:27.199
<v Speaker 6>the loan. And so we actually talk in mortgage now

0:24:27.240 --> 0:24:29.080
<v Speaker 6>a lot about the ten day mortgage, because you actually

0:24:29.080 --> 0:24:31.800
<v Speaker 6>can't have a one click mortgage purely by virtue of

0:24:31.840 --> 0:24:34.120
<v Speaker 6>the fact you need that seven day waiting period. There's

0:24:34.160 --> 0:24:36.240
<v Speaker 6>some other timelines and there even if you got rid

0:24:36.240 --> 0:24:38.000
<v Speaker 6>of that seven day waiting period, you'd still have to

0:24:38.600 --> 0:24:40.840
<v Speaker 6>remove a whole bunch of other regulatory timelines to really

0:24:40.840 --> 0:24:42.840
<v Speaker 6>get it down to one day. But in twenty fifteen

0:24:42.840 --> 0:24:44.800
<v Speaker 6>they released this new regulation which I would say made

0:24:44.800 --> 0:24:47.320
<v Speaker 6>it a lot more onerous, a lot more documents to sign,

0:24:47.640 --> 0:24:50.119
<v Speaker 6>and I mean it's good, right, Like pre twenty fifteen,

0:24:50.160 --> 0:24:52.640
<v Speaker 6>people were getting loans and they were getting bait and switched,

0:24:52.680 --> 0:24:55.760
<v Speaker 6>and you know, people were having new fees pop up

0:24:55.760 --> 0:24:57.320
<v Speaker 6>that they didn't know about. And now all that stuff

0:24:57.359 --> 0:24:59.560
<v Speaker 6>is really strictly regulated, but it definitely as to the

0:24:59.600 --> 0:25:00.359
<v Speaker 6>paperwork party.

0:25:15.760 --> 0:25:18.920
<v Speaker 2>So how did Blend actually try to solve all of this?

0:25:19.160 --> 0:25:21.840
<v Speaker 2>Because when I listen to you talk about all these

0:25:22.000 --> 0:25:25.040
<v Speaker 2>sort of challenges in the mortgage market, it just sounds

0:25:25.080 --> 0:25:29.280
<v Speaker 2>like an unsolvable kind of spider web of requirements.

0:25:29.800 --> 0:25:32.479
<v Speaker 6>Yeah, it certainly is very challenging. I wouldn't call it.

0:25:32.560 --> 0:25:35.560
<v Speaker 6>You know, nothing is really unsolvable except the regulatory timeline

0:25:35.640 --> 0:25:37.919
<v Speaker 6>is going to be what it is. But for a

0:25:37.920 --> 0:25:39.639
<v Speaker 6>lot of it was, hey, can you really get to

0:25:39.760 --> 0:25:41.760
<v Speaker 6>a one click and tell the bar or that they're

0:25:41.800 --> 0:25:43.760
<v Speaker 6>clear to close? And what that means is we've fully

0:25:43.840 --> 0:25:46.280
<v Speaker 6>underwritten everything. We know that you're going to close. The

0:25:46.320 --> 0:25:48.359
<v Speaker 6>only thing we're really waiting on is the compliance clock.

0:25:48.960 --> 0:25:51.040
<v Speaker 6>And so you kind of split it up into the

0:25:51.119 --> 0:25:54.000
<v Speaker 6>various things that get underwritten in the loan. So in property,

0:25:54.040 --> 0:25:56.600
<v Speaker 6>for example, the most clear thing you have to do

0:25:56.640 --> 0:25:58.960
<v Speaker 6>in order to say I can instantly underwrite your property

0:25:59.160 --> 0:26:00.840
<v Speaker 6>is they have to be able to get no appraisal

0:26:01.119 --> 0:26:04.000
<v Speaker 6>and get instant title. And today, title insurance is this

0:26:04.040 --> 0:26:05.520
<v Speaker 6>whole other thing that I'm sure you could do ten

0:26:05.560 --> 0:26:09.240
<v Speaker 6>episodes on. Some people have asked, which everyone, yes, I

0:26:09.240 --> 0:26:11.960
<v Speaker 6>would say every two years. Some Silicon Valley person tweets

0:26:11.960 --> 0:26:14.160
<v Speaker 6>that like, title insurance is a racket and someone should

0:26:14.200 --> 0:26:15.920
<v Speaker 6>go take it out, and I always get that tweet

0:26:15.960 --> 0:26:19.560
<v Speaker 6>texted to me like ten times. But there's this complexity around. Well,

0:26:19.640 --> 0:26:21.520
<v Speaker 6>the problem with title insurance is actually someone does have

0:26:21.560 --> 0:26:23.360
<v Speaker 6>to go to the county office still in a bunch

0:26:23.359 --> 0:26:25.800
<v Speaker 6>of counties, and go downstairs into the basement of the

0:26:25.800 --> 0:26:27.760
<v Speaker 6>courthouse and get the key and unlock it and go

0:26:27.800 --> 0:26:29.520
<v Speaker 6>like look up the records for that house or something

0:26:29.560 --> 0:26:31.719
<v Speaker 6>like that. So you have to figure out how you're

0:26:31.760 --> 0:26:33.720
<v Speaker 6>going to make title insurance instant, which there are a

0:26:33.720 --> 0:26:36.200
<v Speaker 6>whole bunch of startups that have worked on are working

0:26:36.240 --> 0:26:39.000
<v Speaker 6>on have had some success in digitizing that process. In

0:26:39.040 --> 0:26:41.680
<v Speaker 6>some counties, you've got to make the appraisal instant, which

0:26:41.680 --> 0:26:44.560
<v Speaker 6>basically means you have to get a message from Daniel

0:26:44.640 --> 0:26:47.439
<v Speaker 6>Freddy that for this particular property, they've written alone on

0:26:47.480 --> 0:26:49.480
<v Speaker 6>it recently enough that you don't have to appraise it again.

0:26:49.960 --> 0:26:52.199
<v Speaker 6>And so that's the property side. Those two things you

0:26:52.200 --> 0:26:55.200
<v Speaker 6>can imagine combined already, like you're taking one hundred percent

0:26:55.200 --> 0:26:56.880
<v Speaker 6>of properties in the US, and you're shrinking your hip

0:26:56.920 --> 0:26:59.040
<v Speaker 6>box to like twenty year or twenty five percent or

0:26:59.040 --> 0:27:01.200
<v Speaker 6>something like that, and then you've got to get the borrower.

0:27:01.280 --> 0:27:03.040
<v Speaker 6>And for Blend, a lot of the approach was, well,

0:27:03.080 --> 0:27:04.959
<v Speaker 6>we partner with a lot of big banks, and so

0:27:05.080 --> 0:27:07.879
<v Speaker 6>can you get the banking data directly from those banks

0:27:07.960 --> 0:27:10.040
<v Speaker 6>and use that to either figure out the income or

0:27:10.119 --> 0:27:12.040
<v Speaker 6>use something like the work number to instantly get income.

0:27:12.400 --> 0:27:15.399
<v Speaker 6>You can verify assets and income and the property, and

0:27:15.440 --> 0:27:17.320
<v Speaker 6>then you can of course, pulling credit is the easiest one,

0:27:17.320 --> 0:27:19.760
<v Speaker 6>because we've been able to pull credit digitally for decades

0:27:19.760 --> 0:27:21.800
<v Speaker 6>and decades in this country. If you can kind of

0:27:21.880 --> 0:27:24.919
<v Speaker 6>check all four of those boxes, then you're quite a

0:27:24.920 --> 0:27:28.080
<v Speaker 6>bit further towards a instant clear to close, you're still

0:27:28.119 --> 0:27:29.600
<v Speaker 6>not fully there. There's a bunch of stuff around the

0:27:29.600 --> 0:27:31.480
<v Speaker 6>margins you've got to go and sort out. But it

0:27:31.520 --> 0:27:34.080
<v Speaker 6>really is a matter of blocking and tackling, executing detail

0:27:34.119 --> 0:27:36.120
<v Speaker 6>by detail. And it's like, there are twelve hundred pages

0:27:36.160 --> 0:27:38.040
<v Speaker 6>of rules. I've probably read those twelve hundred pages of

0:27:38.040 --> 0:27:40.439
<v Speaker 6>Fanny rules three or four times, and you've just got

0:27:40.480 --> 0:27:42.119
<v Speaker 6>to systematically tick them off one by one.

0:27:42.240 --> 0:27:45.639
<v Speaker 4>What are you doing now at VESTA that you weren't

0:27:45.680 --> 0:27:47.000
<v Speaker 4>doing and blend.

0:27:47.920 --> 0:27:51.040
<v Speaker 6>Yeah, So a lot of the struggle that we had

0:27:51.119 --> 0:27:52.720
<v Speaker 6>up on was you really, because you own the front

0:27:52.800 --> 0:27:55.080
<v Speaker 6>end of the process, is you could get to fully automated.

0:27:55.400 --> 0:27:57.919
<v Speaker 6>You could pull it all in and be done. The

0:27:58.000 --> 0:27:59.960
<v Speaker 6>problem was, you know, you heard how I talked about

0:28:00.000 --> 0:28:02.399
<v Speaker 6>appraisal title. You kind of shrink the hit box for

0:28:02.440 --> 0:28:05.119
<v Speaker 6>what you can do fully automated. And so what we

0:28:05.240 --> 0:28:07.560
<v Speaker 6>found was that if you fully automated, like let's say

0:28:07.560 --> 0:28:09.800
<v Speaker 6>you really could fully automate one percent of lenders loans,

0:28:10.040 --> 0:28:12.320
<v Speaker 6>that would be great, but they're still you know, spending

0:28:12.320 --> 0:28:14.520
<v Speaker 6>a ton of manual dollars, a ton of you know,

0:28:15.200 --> 0:28:18.439
<v Speaker 6>operational people on ninety nine percent of their loans. And

0:28:18.520 --> 0:28:20.760
<v Speaker 6>the big problem was all the data that you got

0:28:20.760 --> 0:28:22.879
<v Speaker 6>at the front it was really hard to use that

0:28:22.880 --> 0:28:25.040
<v Speaker 6>to drive efficiencies at the back of the process or

0:28:25.080 --> 0:28:26.640
<v Speaker 6>for you know, any of the loans that did have

0:28:26.840 --> 0:28:29.359
<v Speaker 6>even one manual touch, like I ticked through all these rules.

0:28:29.640 --> 0:28:31.399
<v Speaker 6>You can imagine if only ten rules had to be

0:28:31.400 --> 0:28:33.000
<v Speaker 6>done by a human. Well, now it's got to go

0:28:33.040 --> 0:28:35.680
<v Speaker 6>through this manual process. And what it does today is

0:28:35.680 --> 0:28:37.800
<v Speaker 6>it goes through this old manual process where they basically

0:28:37.800 --> 0:28:40.400
<v Speaker 6>have to underwrite the whole loan manually because the system

0:28:40.400 --> 0:28:42.800
<v Speaker 6>doesn't have an understanding of what's already been done. It's

0:28:42.840 --> 0:28:45.520
<v Speaker 6>not you know, task or workflow oriented, and people basically

0:28:45.560 --> 0:28:47.600
<v Speaker 6>have muscle memory. So the underwriter is going to look

0:28:47.640 --> 0:28:50.040
<v Speaker 6>at everything, order the appraisal, whatnot, even if they don't

0:28:50.080 --> 0:28:52.960
<v Speaker 6>have to. And so a lot of what we realized

0:28:53.080 --> 0:28:55.040
<v Speaker 6>was the back end of the process was making it

0:28:55.120 --> 0:28:57.680
<v Speaker 6>really difficult to realize any efficiency from the good work

0:28:57.680 --> 0:29:00.000
<v Speaker 6>you're doing at the front end because the change management

0:29:00.000 --> 0:29:02.800
<v Speaker 6>and organizational inertia of you know, you've got three thousand

0:29:02.800 --> 0:29:06.480
<v Speaker 6>people on your mortgage manufacturing line so to speak, doing

0:29:06.480 --> 0:29:09.040
<v Speaker 6>exactly what they've always done, and the software isn't really

0:29:09.120 --> 0:29:11.880
<v Speaker 6>guiding them to do anything different, Like it's not it's

0:29:11.920 --> 0:29:14.000
<v Speaker 6>not a piece of software like you might be used

0:29:14.040 --> 0:29:16.440
<v Speaker 6>to working in today, like Slack gives you notifications for example.

0:29:16.600 --> 0:29:19.800
<v Speaker 6>It's really almost like a spreadsheet with a different UI

0:29:19.840 --> 0:29:21.160
<v Speaker 6>layer on top of it, and you've got to figure

0:29:21.200 --> 0:29:22.960
<v Speaker 6>out exactly what you're going to do. So a lot

0:29:22.960 --> 0:29:24.520
<v Speaker 6>of it was how do you change the way the

0:29:24.560 --> 0:29:27.800
<v Speaker 6>operation works so that people are doing a lot less.

0:29:28.080 --> 0:29:29.760
<v Speaker 6>And then the other big thing was with the existing

0:29:29.800 --> 0:29:33.120
<v Speaker 6>loan origination systems being so difficult to integrate to that

0:29:33.160 --> 0:29:35.200
<v Speaker 6>was one of the biggest hindrances and actually getting all

0:29:35.200 --> 0:29:38.640
<v Speaker 6>of the data and making that process one click. Was

0:29:39.240 --> 0:29:41.680
<v Speaker 6>that you couldn't actually do all of the jobs that

0:29:41.720 --> 0:29:43.360
<v Speaker 6>needed to be done by that old system, like the

0:29:43.400 --> 0:29:46.120
<v Speaker 6>old system that has all of the integrations I mentioned,

0:29:46.120 --> 0:29:48.960
<v Speaker 6>and they have hundreds of integrations to all these data providers,

0:29:49.280 --> 0:29:51.280
<v Speaker 6>like coordinating the appraisal. So you ended up having to

0:29:51.280 --> 0:29:53.760
<v Speaker 6>build around the old system instead of through the old

0:29:53.800 --> 0:29:56.200
<v Speaker 6>system to achieve a lot of this stuff, and that

0:29:56.280 --> 0:29:59.120
<v Speaker 6>just seemed like so clearly the wrong way to do it.

0:29:59.160 --> 0:30:00.960
<v Speaker 6>Now the downside is have to go and modernize the

0:30:00.960 --> 0:30:04.000
<v Speaker 6>old system. Which is a really hard problem. But by

0:30:04.160 --> 0:30:06.400
<v Speaker 6>kind of modernizing the old system, you unlock a the

0:30:06.440 --> 0:30:09.040
<v Speaker 6>operational efficiency that you actually get from all this data

0:30:09.360 --> 0:30:12.320
<v Speaker 6>and then be a much easier platform for everyone who

0:30:12.320 --> 0:30:15.080
<v Speaker 6>wants to build a front end to get that data

0:30:15.200 --> 0:30:18.160
<v Speaker 6>through your integrations and through your processes that the lender

0:30:18.200 --> 0:30:21.280
<v Speaker 6>already has that exists manually today of having to recreate

0:30:21.280 --> 0:30:22.760
<v Speaker 6>it on the side to try and automate it, if

0:30:22.760 --> 0:30:23.360
<v Speaker 6>that makes sense.

0:30:24.360 --> 0:30:27.479
<v Speaker 2>I have a slightly random question, which is, given that

0:30:27.520 --> 0:30:32.280
<v Speaker 2>we're talking about technicalities, how easy is it to commit

0:30:32.360 --> 0:30:37.240
<v Speaker 2>some sort of mortgage fraud nowadays? Totally random, not out

0:30:37.280 --> 0:30:38.320
<v Speaker 2>of personal interest.

0:30:38.800 --> 0:30:41.560
<v Speaker 6>Yeah, I did listen to your recent episode about government

0:30:41.560 --> 0:30:43.560
<v Speaker 6>Fraudry Joe was the one I think was very interested.

0:30:43.680 --> 0:30:46.320
<v Speaker 3>Yeah, I was the one interring to start doing fraud.

0:30:46.680 --> 0:30:50.400
<v Speaker 6>Yeah. Mortgage fraud, I think is actually quite difficult these days,

0:30:50.520 --> 0:30:53.680
<v Speaker 6>mostly because there are so many human eyeballs that look

0:30:53.680 --> 0:30:57.360
<v Speaker 6>at the loan and so let's take something really simple,

0:30:57.400 --> 0:30:59.520
<v Speaker 6>like you wanted to like doctor a document, like probably

0:30:59.520 --> 0:31:02.880
<v Speaker 6>the most straightforward thing because it's not like mascal fraud.

0:31:02.880 --> 0:31:04.400
<v Speaker 6>It's like somebody is like, I want a mortgage on

0:31:04.400 --> 0:31:06.960
<v Speaker 6>my primary residence. I can't afford it, and I'm just

0:31:07.000 --> 0:31:09.479
<v Speaker 6>going to doctor the documents to make my income look bigger. Well,

0:31:09.480 --> 0:31:11.160
<v Speaker 6>first you have to hope the lender doesn't check some

0:31:11.280 --> 0:31:13.239
<v Speaker 6>third party verified data source, or they don't reach out

0:31:13.280 --> 0:31:15.400
<v Speaker 6>to the employer, which they often do. And then you

0:31:15.440 --> 0:31:17.120
<v Speaker 6>have to hope that like your document makes it through

0:31:17.160 --> 0:31:19.160
<v Speaker 6>the processor are looking at it, and the underwriter looking

0:31:19.160 --> 0:31:20.880
<v Speaker 6>at it, and the closer looking at it, and the

0:31:20.960 --> 0:31:23.480
<v Speaker 6>underwriters especially they're looking for things that don't add up.

0:31:23.840 --> 0:31:26.320
<v Speaker 6>And so I would say mortgage fraud is probably really

0:31:26.680 --> 0:31:29.840
<v Speaker 6>pretty too, very difficult to actually accomplish today. It sounds

0:31:29.840 --> 0:31:31.880
<v Speaker 6>a lot harder to achieve than, like, you know, figuring

0:31:31.920 --> 0:31:35.200
<v Speaker 6>out how to get some Medicare dollars. Yeah, so it's

0:31:35.200 --> 0:31:39.160
<v Speaker 6>probably not worth squeeze. Now, we'll like generative AI make

0:31:39.200 --> 0:31:41.240
<v Speaker 6>it way easier to make fake profiles and all that stuff.

0:31:41.240 --> 0:31:43.560
<v Speaker 6>Maybe that's something that I think lots of people worry about,

0:31:43.920 --> 0:31:46.280
<v Speaker 6>But today I would say it's definitely the mortage industry

0:31:46.280 --> 0:31:48.720
<v Speaker 6>has done a pretty good job of doing that, and

0:31:48.720 --> 0:31:50.360
<v Speaker 6>I'd say the regulators have done a good job of

0:31:50.400 --> 0:31:52.720
<v Speaker 6>making it really hard, just given everything that happened two

0:31:52.760 --> 0:31:53.320
<v Speaker 6>decades ago.

0:31:53.840 --> 0:31:55.480
<v Speaker 3>Back to the question of refise.

0:31:55.560 --> 0:31:59.360
<v Speaker 4>So you mentioned that theoretically, if you're a homeowner and

0:31:59.400 --> 0:32:01.840
<v Speaker 4>you're in the money on your mortgage, that is to say,

0:32:01.920 --> 0:32:04.080
<v Speaker 4>where it would make economic sense for you to refi.

0:32:04.240 --> 0:32:06.400
<v Speaker 4>You might get an email or something it's like, hey,

0:32:06.440 --> 0:32:10.160
<v Speaker 4>you should refi and you can save this much. But it's,

0:32:10.320 --> 0:32:12.280
<v Speaker 4>as we're talking about, it's gonna be a lot of

0:32:12.440 --> 0:32:16.720
<v Speaker 4>paperwork and all this stuff. After our episode came out

0:32:16.880 --> 0:32:20.480
<v Speaker 4>several weeks ago, someone on Twitter, they said, why can't

0:32:20.480 --> 0:32:24.240
<v Speaker 4>we have a mortgage product that you pay a higher

0:32:24.280 --> 0:32:28.160
<v Speaker 4>premium upfront, but it's a floating rate mortgage that only

0:32:28.200 --> 0:32:32.720
<v Speaker 4>resets downward. In other words, basically, if rates drop lower,

0:32:32.840 --> 0:32:36.280
<v Speaker 4>your mortgage mechanically drops with it. And again, obviously, if

0:32:36.280 --> 0:32:39.080
<v Speaker 4>you're going to have that, you theoretically that's a more

0:32:39.200 --> 0:32:42.640
<v Speaker 4>valuable option and you pay some premium upfront, but then

0:32:42.680 --> 0:32:45.600
<v Speaker 4>in theory, you save all of this effort and time

0:32:45.720 --> 0:32:48.440
<v Speaker 4>and document checking and human hours that go into this.

0:32:48.880 --> 0:32:51.560
<v Speaker 4>In your mind, does that seem like a plausible financial

0:32:51.600 --> 0:32:52.560
<v Speaker 4>product that could exist.

0:32:52.880 --> 0:32:55.440
<v Speaker 6>Seems like a totally reasonable financial product. I think that

0:32:56.280 --> 0:32:58.160
<v Speaker 6>there may even be somebody doing it. And like the

0:32:58.160 --> 0:33:01.280
<v Speaker 6>private label securities market, there is a market basically hedge

0:33:01.280 --> 0:33:04.400
<v Speaker 6>funds that will like underwrite non qms what they're called

0:33:04.440 --> 0:33:07.280
<v Speaker 6>mortgage products and offer those to lenders, and lenders can

0:33:07.280 --> 0:33:09.680
<v Speaker 6>originate them. One thing I will say is it seems

0:33:09.760 --> 0:33:12.560
<v Speaker 6>unlikely to come from the GSUS just because so much

0:33:12.560 --> 0:33:15.440
<v Speaker 6>of the gs's mission these days is affordability and democratizing

0:33:15.440 --> 0:33:17.960
<v Speaker 6>home ownership. And I can't really think of a marginal

0:33:17.960 --> 0:33:20.000
<v Speaker 6>person that that products would get into a home.

0:33:20.240 --> 0:33:22.960
<v Speaker 4>Right, So even if it makes sense, that's just now

0:33:22.960 --> 0:33:23.720
<v Speaker 4>we'll move the dial.

0:33:24.360 --> 0:33:26.280
<v Speaker 6>Yeah, I think it makes sense from a you know,

0:33:26.320 --> 0:33:29.720
<v Speaker 6>like single person financial instrument perspective, like I would love

0:33:29.720 --> 0:33:31.760
<v Speaker 6>to have one of those, for example, But I think

0:33:31.800 --> 0:33:34.920
<v Speaker 6>that from the kind of stated policy goals of the

0:33:34.960 --> 0:33:37.520
<v Speaker 6>biggest investors in the market, it's just not really something

0:33:37.560 --> 0:33:39.320
<v Speaker 6>that oligns with their policy goals, and so I can't

0:33:39.320 --> 0:33:41.480
<v Speaker 6>see that being a big area of where we're going

0:33:41.520 --> 0:33:43.400
<v Speaker 6>to see a bunch of those in a decade.

0:33:43.680 --> 0:33:47.520
<v Speaker 2>So a lot of mortgages get bundled together into mortgage

0:33:47.520 --> 0:33:51.840
<v Speaker 2>backed securities. I'm curious, like how much of that granular

0:33:52.000 --> 0:33:56.240
<v Speaker 2>detail about pay and you know, lead paint in the

0:33:56.320 --> 0:34:00.440
<v Speaker 2>house and things like that gets ported over to the

0:34:00.480 --> 0:34:02.440
<v Speaker 2>securitization aspect of it.

0:34:02.720 --> 0:34:04.600
<v Speaker 6>So it's really not a lot. I actually I have

0:34:04.640 --> 0:34:06.600
<v Speaker 6>capital markets people reaching out to me all the time,

0:34:06.640 --> 0:34:09.080
<v Speaker 6>being like, if you have a modern loan origination system,

0:34:09.239 --> 0:34:11.439
<v Speaker 6>you can solve my problem if I can't actually get

0:34:11.480 --> 0:34:13.719
<v Speaker 6>any of the data or much of the data that

0:34:13.880 --> 0:34:17.480
<v Speaker 6>you underlines these instruments when I am going and securitizing

0:34:17.480 --> 0:34:20.080
<v Speaker 6>them or trading them or whatnot. But generally comes out

0:34:20.200 --> 0:34:24.280
<v Speaker 6>as much banking technology still is today is you export

0:34:24.280 --> 0:34:26.840
<v Speaker 6>a big CSV of some of the data fields. You

0:34:26.880 --> 0:34:28.520
<v Speaker 6>take a bunch of docks and you send them off,

0:34:28.880 --> 0:34:31.440
<v Speaker 6>and then that CSV, which you know, they fancily call

0:34:31.480 --> 0:34:34.240
<v Speaker 6>it tape, but really it's a spreadsheet, just gets ingested.

0:34:34.239 --> 0:34:36.560
<v Speaker 6>And now you've taken a process that had three thousand

0:34:36.560 --> 0:34:39.120
<v Speaker 6>fields and hundreds of pages of docks, and you've boiled

0:34:39.120 --> 0:34:41.480
<v Speaker 6>that down into like fifty or one hundred fields that

0:34:41.520 --> 0:34:44.080
<v Speaker 6>describe the mortgage, which maybe is for the best, Like

0:34:44.120 --> 0:34:46.880
<v Speaker 6>I'm not really sure that people buying mbs should be

0:34:46.880 --> 0:34:49.719
<v Speaker 6>thinking about, you know, the specific credit profile of the

0:34:49.760 --> 0:34:52.160
<v Speaker 6>thousand different mortgages that are chopped in there and put

0:34:52.200 --> 0:34:55.000
<v Speaker 6>in and so it's nice that there's some standardization, but

0:34:55.040 --> 0:34:56.759
<v Speaker 6>it's definitely very lossy, and I will tell you it

0:34:56.840 --> 0:34:59.040
<v Speaker 6>is something that mortgage traders complain to me about a lot.

0:35:00.360 --> 0:35:04.080
<v Speaker 4>So what's realistic. It doesn't sound like you'd ever get

0:35:04.120 --> 0:35:07.760
<v Speaker 4>like true one click, because it's you know, at a minimum,

0:35:07.800 --> 0:35:10.120
<v Speaker 4>you're probably going to have to tell the front end

0:35:10.200 --> 0:35:10.720
<v Speaker 4>who your.

0:35:10.560 --> 0:35:13.120
<v Speaker 3>Payroll is and who your bank is, and a few

0:35:13.120 --> 0:35:13.680
<v Speaker 3>other things.

0:35:14.000 --> 0:35:17.719
<v Speaker 4>What is a plausible version of if you know there's

0:35:17.840 --> 0:35:22.080
<v Speaker 4>continual coordination among different banks, if Fanny and Freddy continue

0:35:22.120 --> 0:35:25.480
<v Speaker 4>to update their technology so that you know, it's a

0:35:25.480 --> 0:35:27.600
<v Speaker 4>little easier, what could it look like if I were,

0:35:27.680 --> 0:35:29.840
<v Speaker 4>say you're say, in ten years.

0:35:29.600 --> 0:35:31.200
<v Speaker 3>I'm applying for a mortgage again.

0:35:31.520 --> 0:35:34.880
<v Speaker 6>I think it's very reasonable to strive for a world

0:35:35.000 --> 0:35:37.479
<v Speaker 6>where it is, you know, to your point, as close

0:35:37.520 --> 0:35:39.759
<v Speaker 6>to one click as possible on the very front end.

0:35:40.160 --> 0:35:43.000
<v Speaker 6>Maybe you're talking about like a ten minute application max,

0:35:43.000 --> 0:35:46.560
<v Speaker 6>where you connect some accounts once that's done. I think

0:35:46.600 --> 0:35:49.680
<v Speaker 6>that what you should get instantly is one of basically

0:35:50.000 --> 0:35:53.040
<v Speaker 6>three decisions. Hey, you are definitely clear to close. You're

0:35:53.040 --> 0:35:54.920
<v Speaker 6>going to get your disclosures, and then we're just going

0:35:55.000 --> 0:35:57.520
<v Speaker 6>to wait ten days and we'll close you. Option two

0:35:57.600 --> 0:36:00.640
<v Speaker 6>is hey, you as a barwer are definitely clear to close,

0:36:00.760 --> 0:36:03.200
<v Speaker 6>but we need some additional information on the property. So

0:36:03.360 --> 0:36:05.120
<v Speaker 6>you're going to wait ten to fourteen days, you're going

0:36:05.160 --> 0:36:06.520
<v Speaker 6>to pay for the appraisal, and we're going to close

0:36:06.560 --> 0:36:10.120
<v Speaker 6>you or three is basically unfortunately, you know, we're not

0:36:10.200 --> 0:36:12.080
<v Speaker 6>able to close you. Here some things you can do

0:36:12.120 --> 0:36:14.880
<v Speaker 6>to improve your stance. I think that property is probably

0:36:14.920 --> 0:36:16.799
<v Speaker 6>going to be the thing that even if you ask

0:36:16.840 --> 0:36:19.000
<v Speaker 6>me ten years from now, it's like it's really a

0:36:19.080 --> 0:36:21.200
<v Speaker 6>question of there will always be those corner cases. It

0:36:21.200 --> 0:36:22.960
<v Speaker 6>feels like where the gs are going to want to

0:36:22.960 --> 0:36:25.879
<v Speaker 6>see an appraisal unless they're the big credit profile change

0:36:25.920 --> 0:36:27.600
<v Speaker 6>or if they get privatized. You know, there's all sorts

0:36:27.600 --> 0:36:29.880
<v Speaker 6>of things that can happen in ten years. But I

0:36:29.920 --> 0:36:33.399
<v Speaker 6>think those three outcomes being ten minutes away fingertips wwise

0:36:33.400 --> 0:36:35.520
<v Speaker 6>from the bar when you close in ten days is

0:36:35.719 --> 0:36:38.200
<v Speaker 6>very much attainable, and it's really what everyone in the

0:36:38.200 --> 0:36:40.359
<v Speaker 6>industry is and ought to be working towards.

0:36:41.040 --> 0:36:45.240
<v Speaker 2>Does blockchain solve this? And I mean that's somewhat serious.

0:36:45.400 --> 0:36:46.200
<v Speaker 3>It's a good question.

0:36:46.160 --> 0:36:48.720
<v Speaker 2>Because, like I've often thought like one of the few

0:36:49.120 --> 0:36:53.080
<v Speaker 2>real world applications of blockchain technology could be in the

0:36:53.120 --> 0:36:57.200
<v Speaker 2>mortgage assignation space where you have that sort of chain

0:36:57.239 --> 0:37:01.920
<v Speaker 2>of title moving around constantly. But also I'm thinking, like

0:37:02.400 --> 0:37:05.120
<v Speaker 2>from a wallet perspective, if you could have like a

0:37:05.160 --> 0:37:08.640
<v Speaker 2>personal profile that carried with it you know, your pay

0:37:08.800 --> 0:37:12.080
<v Speaker 2>and yeah, how much your worth and et cetera, you

0:37:12.120 --> 0:37:13.040
<v Speaker 2>could use that too.

0:37:14.080 --> 0:37:16.600
<v Speaker 6>Yes, So those are two very interesting use cases on

0:37:16.680 --> 0:37:19.000
<v Speaker 6>the wallet perspective. The way that I think about blockchain

0:37:19.000 --> 0:37:21.680
<v Speaker 6>helping here is almost lets you build like a more

0:37:21.800 --> 0:37:26.280
<v Speaker 6>encompassing decentralized credit bureau. And decentralized is actually really important

0:37:26.320 --> 0:37:28.719
<v Speaker 6>because I don't think the banks are super excited about

0:37:28.760 --> 0:37:31.160
<v Speaker 6>the idea of helping build like a fourth credit bureau,

0:37:31.360 --> 0:37:33.439
<v Speaker 6>like they built three and now they pay the three

0:37:33.480 --> 0:37:36.319
<v Speaker 6>for their own data, which I think is a little

0:37:36.320 --> 0:37:38.000
<v Speaker 6>bit difficult for them. And then you know, the regulators

0:37:38.040 --> 0:37:40.479
<v Speaker 6>are not super excited about the centralized credit bureaus, et cetera.

0:37:40.800 --> 0:37:42.799
<v Speaker 6>And so I think the idea that each consumer could

0:37:42.800 --> 0:37:45.080
<v Speaker 6>have their own key that unlocks, you know, access to

0:37:45.120 --> 0:37:47.360
<v Speaker 6>all of their data on this decentralized credit bureau that

0:37:47.400 --> 0:37:50.040
<v Speaker 6>all the payroll providers and financial institutions, et cetera are

0:37:50.040 --> 0:37:52.880
<v Speaker 6>writing to, is very much an idea that has legs.

0:37:53.239 --> 0:37:55.319
<v Speaker 6>It's really hard to implement for you know, a lot

0:37:55.360 --> 0:37:58.520
<v Speaker 6>of similar organizational inertial reasons. But I do think that

0:37:58.600 --> 0:38:00.360
<v Speaker 6>is a real use case for blockchain, be it solves

0:38:00.360 --> 0:38:02.440
<v Speaker 6>the incentives problem where people are basically like, I don't

0:38:02.480 --> 0:38:04.560
<v Speaker 6>want there to be one middleman with every consumer in

0:38:04.560 --> 0:38:07.239
<v Speaker 6>America's financial data, and so blockchain, let's you kind of

0:38:07.239 --> 0:38:09.399
<v Speaker 6>like decentralize and split that up. So I think there's

0:38:09.400 --> 0:38:12.040
<v Speaker 6>some really interesting avenues there that people can go down,

0:38:12.200 --> 0:38:14.000
<v Speaker 6>and there are some companies I think actually looking at

0:38:14.040 --> 0:38:16.680
<v Speaker 6>that on the title front, what I usually tell people

0:38:16.719 --> 0:38:19.680
<v Speaker 6>on could title beyond blockchain? Absolutely? Is it an interesting

0:38:19.760 --> 0:38:22.640
<v Speaker 6>use case? Absolutely? The hard part of digitizing title is

0:38:22.640 --> 0:38:25.000
<v Speaker 6>getting thirty eight hundred counties to even move to like

0:38:25.280 --> 0:38:28.760
<v Speaker 6>putting capturing the records digitally and not in the courthouse basement.

0:38:29.120 --> 0:38:32.240
<v Speaker 6>Getting thirty hundred counties to move to blockchain seems further

0:38:32.280 --> 0:38:33.680
<v Speaker 6>away than that, not closer.

0:38:34.200 --> 0:38:36.080
<v Speaker 4>I don't know if I've ever mentioned it on the

0:38:36.480 --> 0:38:39.040
<v Speaker 4>show before. I once had a gig right after college

0:38:39.680 --> 0:38:43.000
<v Speaker 4>in which there was some company out in California doing

0:38:43.040 --> 0:38:45.920
<v Speaker 4>some of his bestest lawsuits, and they needed names of

0:38:45.960 --> 0:38:49.120
<v Speaker 4>all these people who had been partied to some suit.

0:38:49.160 --> 0:38:51.720
<v Speaker 4>I don't they're maybe putting it together a database for lawyers,

0:38:51.960 --> 0:38:54.000
<v Speaker 4>and part of my job was to go to various

0:38:54.040 --> 0:38:58.160
<v Speaker 4>county courthouses all around rural Texas in central Texas and

0:38:58.239 --> 0:39:00.760
<v Speaker 4>go to the basement and just literally pull out files

0:39:00.800 --> 0:39:02.560
<v Speaker 4>and ask for names. I'm just going to ask one

0:39:02.600 --> 0:39:05.840
<v Speaker 4>last question since Tracy hit one tech buzzword, which is

0:39:06.160 --> 0:39:10.719
<v Speaker 4>blockchain generative AI. Whether it's in the field of scanning

0:39:10.800 --> 0:39:15.360
<v Speaker 4>documents or understanding documents quickly in your work right now,

0:39:15.840 --> 0:39:18.480
<v Speaker 4>is there a substantive use that you're getting out of

0:39:18.480 --> 0:39:19.239
<v Speaker 4>this technology.

0:39:19.880 --> 0:39:22.480
<v Speaker 6>Yes, it is definitely to your point, it's scanning and

0:39:22.520 --> 0:39:25.319
<v Speaker 6>understanding documents, and so you can think of mortgage the

0:39:25.360 --> 0:39:26.839
<v Speaker 6>way that I think of it high level is it's

0:39:26.840 --> 0:39:28.279
<v Speaker 6>a whole bunch of data and it's a bunch of rules,

0:39:28.320 --> 0:39:31.080
<v Speaker 6>and the rules are well defined by investors, the government, etc.

0:39:31.640 --> 0:39:33.560
<v Speaker 6>And the data is just data, and so data and

0:39:33.640 --> 0:39:35.920
<v Speaker 6>rules to you know, a lot of this conversation should

0:39:35.920 --> 0:39:38.480
<v Speaker 6>be a one click experience, like we've known for decades

0:39:38.520 --> 0:39:40.440
<v Speaker 6>how to run rules on data. And a lot of

0:39:40.480 --> 0:39:42.480
<v Speaker 6>the problems come about because the rules are written in

0:39:42.480 --> 0:39:44.399
<v Speaker 6>the twelve hundred pah PDF and there's a little gray

0:39:44.440 --> 0:39:46.880
<v Speaker 6>and someone has to learn them, and the data in

0:39:46.920 --> 0:39:48.520
<v Speaker 6>a bunch of documents and a bunch of you know,

0:39:48.560 --> 0:39:51.200
<v Speaker 6>disparate places from the borrower, and so it's not structured.

0:39:51.480 --> 0:39:53.160
<v Speaker 6>And so if you can bring structure to the data

0:39:53.160 --> 0:39:55.680
<v Speaker 6>and structure to the rules, both of which generative AI

0:39:55.800 --> 0:39:57.480
<v Speaker 6>is really good at. Right. It can read the Fannia

0:39:57.600 --> 0:39:59.880
<v Speaker 6>Selling Guide and turn that into code rules. It can

0:40:00.040 --> 0:40:02.440
<v Speaker 6>read a document and turn that into data points. If

0:40:02.480 --> 0:40:04.680
<v Speaker 6>you can use generitive AI to structure those two things,

0:40:05.000 --> 0:40:07.600
<v Speaker 6>then you still have structured data, structured rules, and that

0:40:07.600 --> 0:40:09.520
<v Speaker 6>they're you know, whatever rules the GSE said, So you

0:40:09.520 --> 0:40:12.000
<v Speaker 6>don't have these compliance things with ohs AI underwriting below.

0:40:12.520 --> 0:40:14.759
<v Speaker 6>But we're seeing a lot of really promising results taking

0:40:14.760 --> 0:40:17.359
<v Speaker 6>the most cutting edge large language models and applying them

0:40:17.400 --> 0:40:19.719
<v Speaker 6>to these documents, both to write the rules for us

0:40:19.760 --> 0:40:21.680
<v Speaker 6>and to lift the data off the documents.

0:40:22.080 --> 0:40:24.920
<v Speaker 2>All right, Mike, you thank you so much for coming

0:40:24.920 --> 0:40:27.960
<v Speaker 2>on all lots and explaining to us why we can't

0:40:28.000 --> 0:40:29.080
<v Speaker 2>have a nice thing.

0:40:30.160 --> 0:40:31.080
<v Speaker 6>Yeah, thanks for having me.

0:40:31.840 --> 0:40:32.480
<v Speaker 3>That was amazing.

0:40:32.520 --> 0:40:34.480
<v Speaker 4>Mike, you're the perfect guest. Thank you so much for

0:40:34.480 --> 0:40:34.840
<v Speaker 4>coming on.

0:40:35.360 --> 0:40:37.400
<v Speaker 6>Yeah, that was fun. Thanks for having me.

0:40:49.680 --> 0:40:50.799
<v Speaker 2>Joe, that was really fun.

0:40:51.400 --> 0:40:52.279
<v Speaker 3>That was really fun.

0:40:52.320 --> 0:40:55.759
<v Speaker 4>I thought Mike was exceptionally clear at explaining how all

0:40:55.880 --> 0:40:59.200
<v Speaker 4>this works. And although it's still annoying the process of

0:40:59.200 --> 0:41:01.919
<v Speaker 4>getting more and lots of documents that I didn't read

0:41:02.000 --> 0:41:04.800
<v Speaker 4>and attached my signature to, Like, I guess I understand

0:41:04.800 --> 0:41:05.359
<v Speaker 4>a little bit more.

0:41:05.360 --> 0:41:08.279
<v Speaker 2>Why now, do you remember after the financial crisis there

0:41:08.280 --> 0:41:12.440
<v Speaker 2>were all these problems with loan documentation and I remember,

0:41:12.560 --> 0:41:16.800
<v Speaker 2>like there's a big thing about assigning mortgages in blank

0:41:16.960 --> 0:41:20.160
<v Speaker 2>that all turned into like court cases. Yeah, I kind

0:41:20.160 --> 0:41:21.080
<v Speaker 2>of wonder, like.

0:41:21.000 --> 0:41:23.560
<v Speaker 4>We did a great episode on that with David Yeah,

0:41:23.719 --> 0:41:26.960
<v Speaker 4>David Dian of the American Prospect, Like in twenty fifteen.

0:41:27.000 --> 0:41:32.720
<v Speaker 4>What was the name of his book, David chain of Title. Oh, yeah,

0:41:32.760 --> 0:41:35.359
<v Speaker 4>we did an episode with David Dan chain of Title.

0:41:35.400 --> 0:41:37.839
<v Speaker 4>At how crazy that was. It was just the state

0:41:37.960 --> 0:41:41.920
<v Speaker 4>of disarray in documentation after the mortgage crisis. But you

0:41:42.040 --> 0:41:44.600
<v Speaker 4>understand why it is when you still have, you know,

0:41:44.719 --> 0:41:47.440
<v Speaker 4>so much at the county level and the county level,

0:41:47.760 --> 0:41:51.480
<v Speaker 4>I guess for obvious reasons, not feeling any particular pressure

0:41:51.600 --> 0:41:53.719
<v Speaker 4>to update or digitize.

0:41:53.200 --> 0:41:55.640
<v Speaker 3>Or modernize or coordinate all of their systems.

0:41:55.800 --> 0:41:57.920
<v Speaker 2>Yeah, that's really it isn't It sort of like a

0:41:58.000 --> 0:42:01.799
<v Speaker 2>Hodgepodge of State and count Law. I feel like we're

0:42:01.800 --> 0:42:04.400
<v Speaker 2>going to be waiting a while for a solution to this.

0:42:05.600 --> 0:42:08.759
<v Speaker 4>Yes, and I've sort of hinted at it before on

0:42:08.800 --> 0:42:12.880
<v Speaker 4>the podcast, but for very arcane reasons that I'm not

0:42:12.920 --> 0:42:14.840
<v Speaker 4>going to get into. I do have a loan that

0:42:14.880 --> 0:42:17.239
<v Speaker 4>will need to be refinanced at some point in the

0:42:17.280 --> 0:42:18.200
<v Speaker 4>next couple of years.

0:42:18.520 --> 0:42:21.040
<v Speaker 2>You're very optimistic, Joe about interest rates.

0:42:21.520 --> 0:42:24.359
<v Speaker 4>No, I'm very pessimistic and I'm very anxious about it.

0:42:24.800 --> 0:42:27.960
<v Speaker 4>But if I'm not optimistic about the path of interest rates,

0:42:28.280 --> 0:42:30.960
<v Speaker 4>maybe I'll be optimistic that in a couple of years

0:42:31.120 --> 0:42:33.279
<v Speaker 4>the process is at least a little bit better than

0:42:33.280 --> 0:42:36.080
<v Speaker 4>it was the last time I applied for a mortgage.

0:42:36.400 --> 0:42:39.480
<v Speaker 2>Well, see, you'll have to tell me how many documents

0:42:39.520 --> 0:42:42.520
<v Speaker 2>like get mailed out and stuff, although I guess most

0:42:42.560 --> 0:42:44.600
<v Speaker 2>of that is on the sort of like lender and

0:42:44.640 --> 0:42:45.439
<v Speaker 2>servicers side.

0:42:45.440 --> 0:42:46.640
<v Speaker 3>But I'm not looking forward to it.

0:42:47.000 --> 0:42:48.680
<v Speaker 2>Yeah, all right, shall we leave it there.

0:42:48.760 --> 0:42:49.439
<v Speaker 3>Let's leave it there.

0:42:49.640 --> 0:42:52.520
<v Speaker 2>This has been another episode of the All Thoughts podcast.

0:42:52.680 --> 0:42:56.200
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:42:55.840 --> 0:42:58.680
<v Speaker 4>And I'm Joe Wisenthal. You can follow me at the Stalwart.

0:42:58.880 --> 0:43:02.239
<v Speaker 4>Follow Ugust Mike thank you, He's at Michael Underscore. You

0:43:02.680 --> 0:43:06.360
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0:43:06.360 --> 0:43:09.759
<v Speaker 4>at Deshbot and Kilbrooks at Kelbrooks. Thank you to our

0:43:09.840 --> 0:43:13.200
<v Speaker 4>producer Moses Ondem. For more Oddlogs content, go to Bloomberg

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<v Speaker 5>Thanks for listening, bend In