If there's a reason why it's 24 hours, it's an endurance race. You have three drivers, they trade off eight hours a piece. And the whole point is like, can you get this incredible machine to actually run at peak performance for 24 straight hours? That's why it's such a challenge.
Are 40% of Americans really overpaying for their car loans? That might just be the case. Today I'm speaking with Alex Rouse, VP, GM Auto at Upstart, an AI-powered lending platform for auto loans. We discuss whether the US credit system is broken for car buyers, CEO secrets learned from Jeff Bezos, blowing an engine at 24 hours of lemons, and much more. Don't forget to click Subscribe so you never miss an episode.
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Alex Rouse on the CDG podcast. Alex, welcome. Thank you. Very excited to be here. I'm excited to have you on. Hey, I got to ask you, was looking through your LinkedIn before this. What's this with your involvement in the Le Mans race in France? I hope I'm even pronouncing that correctly. Tell us a little about your background and being involved in racing, which I didn't expect from someone involved in tech early in their career. So that was a surprise for me.
Alex Rouse在CDG播客中。 Alex,欢迎。 谢谢。 非常高兴能在这里。我很高兴你来。嘿,我得问问你,在这之前我看了你的领英。 你参与法国勒芒赛车是怎么回事?希望我的发音是正确的。告诉我们一些关于你的背景和参与赛车的经历,我没有想到你在职业早期会有这方面的涉足,这让我很意外。
Yes, I've always had two passions in my life, the technology and then cars. So I grew up, my house is one where I was always working in the garage, with my dad and my brothers working on some kind of car. So I've always been a car guy. When I was in college, I was actually trying to get some work done on my car. So I was just calling up shops to get work done. And I happened to call a shop that was in American Le Mans series team, which I didn't even know they were. It turned out that they need help. I have a twin brother. And so we couldn't have been more eager to help them. And so the very next day, we left for Lime Rock Raceway in Connecticut. And so that's what kicked off that season with that team. And the season ended with us getting opportunity to go race in the 24 hours of Le Mans, this incredibly historic race in France. And it was just such an incredible opportunity.
I can remember being there and walking through walking down the raceway and the finish line. And there's these massive grandstands on either side. And your Corvette race team is there. Aston Martin, the team is there. Audi and Porsche, they're all there. And just, it was like pinching myself. Like I couldn't believe that I was there. It's a difficult race. There's a reason why it's 24 hours. It's an endurance race. What does that mean? Yeah.
For anyone listening, right? What does that even mean? Like 24 hours. How does that work? Well, it's like you have three drivers. They trade off eight hours apiece. And the whole point is like, can you get this incredible machine to actually run at peak performance for 24 straight hours? So that's why it's such a challenge. And so, and we were in what's called a prototype race. That's sort of the car that looked kind of like F1 cars. That was the type of car that we had. And we would go back and forth in the lead in our class.
对于任何倾听者来说,对吧?这到底意味着什么?像24小时这样长时间。这是怎么运作的呢?嗯,就好像你有三名司机。他们每人轮流驾驶八个小时。整个重点在于,你能否让这台令人惊叹的机器连续 24 小时以最佳状态运行?这就是为什么这么具有挑战性。我们参加的是所谓的原型赛。那种车看起来有点像 F1 赛车。这就是我们的赛车类型。在我们的组别中,我们会不断领先,来回争夺领先位置。
And in our 17, our engine failed. And so, I think we broke a valve or something. And so, our car was out. Even though we were at the lead at the time, we were doing so good. Oh my gosh. And so, yeah, it's common. Like, that's sort of a normal thing to happen in these races. But I didn't care, honestly. It was like, I got the opportunity to do that. Be a part of this historic race. It was discouraging, but still an awesome experience. And couldn't believe I was there.
Well, look, I like to tell you, I've never driven a car for 17 hours. But I think at some point, some people left a car turned on at the last 24 hours. So that's the closest I've been to having a car on for that long. I'm sure someone listening to this can think of that one lot attendant at the dealership, like 10 years ago, they left a car running overnight. It's happened. I have to admit. So not proud of it. But that was definitely my most memorable 17 plus hour experience of a car running. So that's hilarious.
Well, I love to hear it. Dude, you've had a very interesting career leading you up to Upstart where you are today. And you're working on lots of innovation with just automotive lending. I built an online auto retailer, which many people listening already know this. One of the biggest pain points was lending. I would say lending and titling probably. Even more so than the physical world stuff. Just lending at scale, especially indirect lending at the dealership when you're not the lender yourself or by your payer, it gets really complicated. And more than just complicated, I think, again, lots of people could probably resonate with this, but it's really tough to create a good customer experience because there's so many touch points in the process. It's just not smooth. Right? So we're going to dig into that. I want to get your take on how we can fix that, where we are and where we're headed.
Before we even get there, you had Stinson Amazon. You co-founded a company. You've done some stuff. So give us a run out. Tell us a little bit more about yourself from your time co-founding company and Amazon and Adam Tickits, I saw. Just give us the high level overview. Sure. Yeah. So after I went to business school, wanted to get into technology, and from there went to Amazon. And so, is it Amazon for about five years? It's an incredible place to get your start. I think of it as a five year long bootcamp. It's a really intense place to work, but the training that you receive there is just incredible. And so, the area that I worked on was Amazon digital devices. So Kindle Fire, Fire TV, and Firephone. And so, that was really the tip of the spear for the company at that time. It was, Amazon really felt like that consumers were creating their relationships with consumer tech companies, and it was now or never. So the whole company was sort of pivoted to invest in these devices. And so, because of that, I got the opportunity to work with Jeff. And that was an incredible experience. So, I can remember we would have reviews with him where we would be actually be like walking through the customer experience for these devices, buying apps or whatever it was. And this guy's over like this massive company, and he's taking the time to get into the actual customer experience. And he's giving us feedback on any click, any page that was confusing. And so, I just remember being blown away that he would go into that level of depth on the things that he cared about. And so, yeah, it was an incredible experience. I love that, because it's, again, that level of attention to detail is how you just build great products. And it's like, you're right. At that scale of a company, that's pretty remarkable that he gets down to that level of detail within one org when you have this conglomerate. And I listened to your podcast with Jay, who was talking about Elon. It's a very similar thing there. Steve Jobs, very similar thing. RCO Dave, he's down listening to calls from our borrowers.
在我们谈论之前,你曾在斯汀森亚马逊工作过。你是一家公司的联合创始人。你做过一些事情。那么,简单介绍一下你的工作经历吧。告诉我们关于你从联合创始公司到亚马逊再到 Adam Tickits 的经历。简要介绍一下你的经历。好的。是的。我是在商学院毕业后想进入科技行业,然后去了亚马逊。在亚马逊工作了大约五年。那是一个非常棒的地方开始工作。我认为那像是一个长达五年的训练营。工作强度很大,但在那里接受的培训是非常出色的。我在亚马逊的工作领域是数字设备。比如 Kindle Fire、Fire TV 和 Firephone。那时,这些设备是公司的重点产品。亚马逊真的觉得消费者正在和消费科技公司建立关系,这是当时现在或永远的问题。整个公司都在转向投资这些设备。正因为如此,我有机会和杰夫合作。那是一个令人难忘的经历。我记得我们经常和他进行评审,一起深入了解这些设备的客户体验,购买应用程序或其他内容。这个人管理着一个庞大的公司,却花时间深入了解实际客户体验。他一一给我们各种反馈,包括哪些点击、哪个页面让人困惑。我记得当时对他如此注重细节感到惊讶。我喜欢那种对细节的关注,因为这就是如何打造出色的产品。在你有这样一个庞大的公司规模时,他能如此深入到一个部门的细节层面,这是相当了不起的。我听了你和 Jay 的播客,他提到了埃隆。那里有一个非常相似的情况。史蒂夫·乔布斯,也是类似的情况。RCO 大卫,他在听借款人的来电。
So, yeah, I think it's those founder CEO types, they get right into the weeds, and they're given really, really good feedback for what they think is most important. Yeah. What about your time in the startup world? What was that about? Yeah. So, building products at Amazon, have built products that were used by millions of people, generated hundreds of millions of dollars in revenue. But it's, what's the saying, rising tide lets all boats. If you're building products at Amazon, products probably going to be successful. And so, you've just got this massive tailwind that is the Amazon platform.
And so, really wanted a chance to try that on my own without sort of tailwind from Amazon. And so, left with a handful of guys I worked with at Amazon, then we started a company in the entertainment space. And the goal of that company was really, so it's movie ticketing. And we really wanted to create the sort of two opportunities we're going after. We wanted to create a more social, more mobile movie going experience. And then, we thought there was a large opportunity to improve the way movies tickets are priced.
So, like, movies take it, movies have all of this empty inventory that doesn't get sold. And yet, they're still priced in kind of a one size fits all kind of way. And so, there's all these other industries, hotels and airlines, etc. where there's there's yield management, dynamic pricing kind of thing. And so, we thought that would be, that's a huge opportunity. And so, we did that, raised a bunch of money, ended up, we couldn't get movie theaters and studios to cooperate in order to get that dynamic pricing part. We never, we got really, really close, but we can never get them to sort of get over the hump.
We did build a great product. We build a product that I think is better than like Fandango would be the competition there. So, you can download it, give it a try. But it's, it's, you know, what the lesson there is really like, it has to be, it can't just be a better product. It has to be a way better product to get people fromwhatever it is that they're doing today to your new thing. And so, yeah, no, you start, I don't know if that resonates for you in sort of your time. Well, you know, we've been using this line and I really like this one, right?
So, ready for this one? Painkillers, not vitamins. Totally. Like we've been, we've been using this line a lot because as we think about things, and we think about content, we think about, we launched, you know, I talked about all time, now my industry job board, which is free to the industry, but like, everything we're doing is like, okay, is this a painkiller or is this a vitamin? Right. And again, I've thought about, I thought I've used this framework even as a dealer, right? When introducing a new marketing promotion or something, but like, are we really doing something that people give a shit about? Or is this just like, okay, you know, maybe, are we really offering an incentive to bring someone to come in now to buy a car or whatever? Or is it again?
So, I think that painkillers versus vitamins, like it's a saying that we've really adopted and we think about it all the time. I think that's totally right on 100%. This episode is brought to you by my very own car dealership guy, industry job board. CDGjobs.com, my industry job board connecting the best talent and automotive with the best companies will remain absolutely free for CDG listeners to post and fill available roles at their companies. This free job board is for anyone in automotive vendors, dealers, lenders, manufacturers, auto tech, everyone.
Already over 100 companies have posted open positions, including lithium motors, recurrent credit acceptance, Vero's credit, cars, commerce, shift digital, plug, full path, Westlake trade pending, you get the point. The best part is that when these companies hire through CDGjobs.com, they are hiring the most informed candidates in the marketplace. So, don't hesitate. You can add your open roles today by visiting CDGjobs.com or clicking the link in the show notes below. That's CDGjobs.com.
So, bring us full circle, right? Today, you're an upstart. Tell us about how, why you joined upstart back to auto, right? You started with auto, you're now back at auto. No, you're, I'm sure you're nowhere near your end here. So, I don't want to make it seem like you're at the end, but right? Like, why back to auto, why upstart? What are you working on nowadays? Yeah. So, maybe I'll give you a little bit of history about kind of upstart, what was founded in the mission that's going after. So, the company was founded 12 years ago by a couple ex-googlers, Dave and Anna, and then Paul, our technical CTO. They follow me. I peeped that follow. Yeah, I saw that. Yeah, I saw that.
Yes, the goal of the company was really, it was established with a mission of expanding access to credit. And so, obviously, credit is incredibly important part of our lives. It's very, very important in the auto industry. And what you might not know is that it's really inefficient. So, people, the right people do not get access to loans at the right prices.
And so, there's this stat that we use to show that. And it's that only 40% of the population has access to prime credit. But if you look at all of the people who have never defaulted on a loan, that's actually 80%. So, if the world was working perfectly, 80% of people would have access to that low-cost capital, but it's not what's happening today.
You might. Wait, so, recap that for me for a second. 80% have never defaulted on a loan of the US population. That's right. And 40% have credit. 40% have access to prime credit. Oh, sorry, sorry. Yes, low-cost credit. Got it. Okay, keep going.
And so, why is that? Well, it's because a lot of the financial system, like the wind banks are making those lending decisions, they're really. A lot of it is based on the credit score, the FICO score. And that really. That was invented in the 80s and really hasn't changed very much.
So, think about that three-digit number. It's the same three-digit number if you're buying a $400,000 house, a $50,000 car, or a $10,000 loan to build a deck. And so, you can imagine the risk profile of those different things. They're incredibly different. But yet, we're using the same tool.
And so, what we've done is really say, there's a way to do this better. In 2012, AI was just beginning. Now, of course, it's everywhere. But that time we saw this technology is going to change the world. And lending really is the perfect use case for AI. There's tons of data available to feed these big models. And the impact that you can do it better is so meaningful to people and to businesses.
And so, anyway, that's kind of a mission the company was founded to try to take on. And it's really just these two components. You take more data, you take more sophisticated modeling techniques. And with that, you can make better predictions of risk. You can make better predictions of risk. You can find people that. Today, lenders are saying no to them because they think they're too risky. But we can actually see that they're not that risky. So, we can approve them.
And so, that's access to credit. That's more sales volume. And then there's the flip side. There's people that. Interesting. The flip side is people who are nutritional lenders would think they are not risky. But we can see, hey, actually, that person is actually risky. Decline them. And so, you mean, you know, that's a big part of your interest rate, is actually to cover the losses of other defaulters. And so, if you can remove defaults, you can actually lower rates for everybody.
And what that looks like to a dealership, you know, higher approvals, lower rates, more room for back end is kind of all interchangeable. So, where is this inefficiency? I mean, this is primarily with like a subprime segment, right? Where is that? Where you see the most inefficiency with lending?
So, like, when we think about this is when a borrower is like, let's call them a traditionally prime borrower. You know, they've got a high credit score. They make a lot of money. Like, it's pretty easy to tell that person's low risk. So, where it gets more complicated is when that picture is not as clear.
And so, what we find is what you can think about is lower down the credit spectrum. There's this big range. There are people with 550, 600 FICO's that have the risk profile of someone with a 750 FICO. And that's a segment we call hidden prime. And so, by having models that can identify those people, we're able to provide them with a type of rate that they would see if they were, you know, if they were prime.
And so, that's one of, like, when we in, as we build this out in auto, you know, there's sort of three segments that we've found that are where we're already beginning to demonstrate the value of AI lending. One of them is this, this like hidden prime segment.
We're able to find those people and, you know, dealers send us those types of deals disproportionately, as you might expect. There's a couple others. The other, you know, another one is thin files. Like, thin files are tough. It's hard to know whether that, you know, what's the true risk of that? Not a lot of history on the credit. That's right.
Yeah. So, they have very limited credit history, very, you know, a very small number of loans, if any, in their credit file. And so, you know, our models are very good at actually sensing the risk of those people. And then the last one is on age collateral. So, older cars. So, you know, when our model prices someone at an applicant level, basically what we're doing is we're determining when we think they might, whether they'll default in when we're determining when we think they might prepay because that plays in if someone pre-pays their loan. It's a good thing. Like, they're not defaulting, but it also means you're not getting the return that you expected. So, we need to know that. And then we model their specific car and the value of that car over time.
And so, what we, you know, we found inefficiency in cars that are one year to five years old. And what it means is we're able to provide those, you know, those deals disproportionately lower rates. And we see higher conversion from our dealers. So, and how are you, and why specifically when you talk about the older units or like age collateral, explain that to me one more time. Why, where's the inefficiency that you're able to bridge?
Yeah. So, think of it as like the way that lenders are, traditional lenders are coming up with those rates might be, you know, it could be simple rate tables. And they're saying, as the car gets older, we're bumping the rate by X basis points. Well, our approach is totally different. We're actually forecasting the depreciation of that vehicle, the recovery value of that vehicle. We're not saying, you know, if it's a two year old car, add 50 basis points, it's a three year old, whatever. Yeah. And so, that lets us by doing that, we can provide lower rates there.
I want to ask you about the market share of different types of lending, right? So, I talked a lot about an end of 22 and like 20 early 23 about the rise of credit unions. Credit unions went from like 15% market share of all auto loans, like 30% in a very short period of time. Then over the last, you know, six months or so, credit unions have receded, right? They don't have unlimited cash or capital put up. Captives have grown again, right?
So, there's this constant shift in who is actually lending and look traditional banks, lenders, they're always kind of in the middle. But where do we go from here? Right? Like, as a dealer listening or even as a consumer, like where do you think the sweet spot is when it with respect to lenders as we look out over the next year or so? What are your thoughts? The way we think about it is, you know, our platform is really one where, you know, we're developing a network of dealerships who are sending us loan applications and we work with all kinds of lenders. So, we work with traditional subprime lenders, banks, and credit unions. And you can think of them as all competing for the volume that's coming through our channel.
And so, we've seen the same thing you've seen. Like, we have 100 basic credit unions on our platform today. It, over the last few years, we've seen a big increase in the number of credit unions that use our platform. You know, liquidity has been tighter. They have reserves. They need as losses increase. They have to maintain these reserves. And so, like, now what we're beginning to see is so they tightened up. There was less capital to lend. We're starting to see that free up.
So, we're actually starting to see our credit unions and our traditional banks come back with more capital. We're still early in that, but definitely we're seeing green shoots compared to where we've been for the past two years. That's interesting. Especially having seen, you know, credit unions sort of, they were, you know, they were starting to dry up, but I mean, everything's in cycles, I guess. I do want to ask you about what you're seeing in the market, you know, given your access to dealers and, of course, having all this data. But before that, I do have a separate, completely separate question. Again, I saw this on your LinkedIn as well, but there's been a lot of buzz in over the last week about this E-Start Coalition.
And I'd love to hear for you to explain what this is and for context to the audience, right? Again, anyone that, if you try, if anyone here listening has sold a car online or maybe even bought a car online, right, you know that some of the biggest, just, you know, pain points are lending and titling, right? Again, I dealt with this first hand, titling was a huge headache. So I got to say, I was pretty surprised when I saw this new initiative where all these, you know, lots of really influential companies in automotive got together and said, hey, we are going to work on bringing digital titling for the industry. Where, like, when I hear this, right, to me again, this is, this is painkillers. Like, this is big. And so, tell me about like, what is this E-Start Coalition? How did you, how did you upstart, get involved in this? What does it mean for our industry?
Yeah. So we, we are on our, with two businesses, we have our digital retail indirect lending business and also a direct consumer refinance business. And so in both, you know, our vision of the future is a completely digital purchase experience end to end. And so what you might, what you might not know is that there are still many states that require wet signatures on documents that need to be sent mailed to the DMV. Oh, yeah. So, yeah, if you're not in one of those states, like it sounds crazy, but it's actually a real thing and it's not a small number of states. And so in order to get to that, you know, that vision that we're going for, we need the DMV's to change their processes. We need them to accept digital signatures without having to mail paperwork back and forth.
And so that creates, it's so much better. It's sort of amazing to have to do this. It's such a better experience. It's, you know, lower friction for the consumer and it's much lower costs. Like, to maintain, you know, operational processes to manage those titles and mail them back and forth. Like it makes, you know, lending, it's a real component to the cost structure of lending. And so we joined forces with Carvana and DocuSign and, you know, in 17 others and we're pushing the states to modernize the way they, their DMV processes and move towards easing it. How realistic do you think this is and in what timeframe? And I know you can't like guess this, but like just roughly speaking, what do you think is a timeframe for something that is? I just think that this is, this would be game changing. If every state, you know, all nine titling, it would be make life so much easier.
So yeah, it's a good question. We, hopefully, you know, it's not something that's that far away. We actually pushed this in, you know, during COVID, we actually took states that were, that were, you know, required digital signatures, or I'm sorry, required signatures. And we actually just started saying them digital copies just to see if they would approve it during, because we knew it was during COVID. And what we saw, they like we had a handful of states that actually began accepting it that way just because they had the need. And so that's what gives me hope that like maybe this won't, you know, go to DMV pace. Maybe this will actually, you know, be at a pace that we can, you know, we can get this done in the next, you know, hopefully small number of years.
You also mentioned earlier, your involvement in digital retailing, which, you know, I talk a lot about the just evolution of the right way to do online car buying and, you know, what makes sense, what's kind of hoopla. So give us a little bit of an overview of what you're doing with the digital retailing from. Yeah. So, you know, we, we, as we thought about getting into the auto market, you know, we wanted to bring, bring our AI lending to, to dealerships. And we were trying to think about the best way to do that. And what I haven't talked a little much about, but a thing that we, you know, as part of our mission is something we're really passionate about. And that's building simple, streamlined experiences.
And so, you know, on our core business, our personal own business, we have 80% of our loans require no steps, no documentation. It's a completely instant, you know, rate and funding experience. And so we, you know, as we thought about getting into into automotive, what we wanted to do is we wanted to completely, you know, build a seamless e-commerce car buying experience. And so that's why we've gone to market through our own digital retail software. That digital retail software has, you know, has three parts. It has what we call online, in-store, and then lending. Our online product, you know, that's a product that lives on a dealerships website. You know, it helps the consumer.
You know, they can, they can, you can essentially build their deal. They can add their trade. They can explore different financing options. They can browse add-ons, you know, F&I products at home on their couch. Primary user for that would be the internet director at the dealership in our value proposition. Then what we're trying to, our dealership see, you know, on average, like 50% higher lead to close conversion. So that's why, that's why that, you know, the BDC manager cares about that product. Then we've got our in-store product. So that's a, that's, that's, you know, imagine that customer, they walk in to the dealership.
This product facilitates the end-to-end car buying experience. So, you know, the salesperson can have an iPad or they could, you know, they could be sitting at their desk on a computer and they can bring up that customer. They can see exactly what they were looking at. They can see the car they were looking at, the payments they were looking at, you know, they got their traded information and they can pick up right there, you know, and keep going. So if you're a consumer that feels like magic, that you just walk in, they know, they know about you and they're ready to sort of move forward. And if you're, you're a dealer, what that results for is, is kind of better satisfaction, you know, higher customer satisfaction. It's a much faster process. So we see 90 minutes saved on average. And if you can save time, you know, that creates a ton of efficiency. So, so we've got an in-store process that facilitates sale process, facilitates the desking process, fully digital pencils, communication back and forth. Like we're trying to make that process instead of using eight different tools to manage that process. We're trying to give our dealers one tool that integrates with all of the tools they have on their platform.
And then, of course, we've got lending. So on the lending side, you know, what we're trying to do there is make that instant approvals, you know, no manual effort trying to figure out what kind of F&I products can fit with that, you know, in this particular lender. And of course, we're trying to trying to approve more borrowers and give them, you know, more room for backend. All right. So broadly speaking, right, if we zoom out, what are, what are challenges right now that dealers are coming to you with, right? What are some like pain points that your dealers are looking to be to have solved? Yeah. So there's a handful of challenges that we see, you know, our customers are coming to us looking for our help. You know, one of those is that, you know, they might see a dip in their, in their, in their deal conversion. And when they look at that, what they're seeing is, you know, dip the people on the floor, you know, that they might be short cutting, you know, one part of the process or another within their sales process. And so what they're looking for is a way to sort of standardize that sales process and give their, their sales managers a way to understand who, you know, who's following the process and who isn't. And so that's, you know, that's one thing our tool can do, can do for them. Or we also see, you know, people might be, it's a field where there's a lot of turnover. And so they're looking for a way to bring, you know, a simple process that can bring people up to speed faster, or even higher people that are outside of the auto industry. And so having a simple standardized process helps with that. And then profitability, of course, is a huge one. So that, you know, they might be looking to, you know, with making everything is automated through our platform, they can run their dealership on fewer people. So that that's kind of one, one thing they're trying to do. And then, or they might be looking for our lending to help them increase their approvals or increase back end. And so, our dealerships are seeing 60% higher back end growths. So there's all like customer satisfaction, of course, is a big one. You know, that's, you know, driving that drives the whole online experience. But that's some of the challenges that dealers are coming to us and looking for help.
Do you think as an industry, we should expect to have less people or fewer people in the dealership driven by AI over the next, you know, couple of years, you think that's like a reality? Or do you just think it makes the current people a lot more efficient? I mean, I do think that technology can make that process more simplified. It can create tools that mean people don't have to have as much specialization. So I do think that that will be, I think that there's a natural part of improving technology, you know, processes through technology. When it comes to like generative AI, and do I see that, you know, replacing, honestly, I think for these types of experiences, like consumers want, they want to have a human touch, you know, it's the second biggest versus of their life. So I'm sure it will be, you know, might be something that's augmented in terms of like a tool for people to use. But personally, I don't see this, you know, going to going to take away half the people in the dealership or something like that.
What's your vision, right? Again, zooming out and before we wrap up, what do you think over the next five years, right? Like if you could say what success looks like for your goals to impact the industry, what does that look like? Yeah, for us, you know, we're trying to build the best car buying and selling experience that's powered by the most differentiated financing offers there are. And so for us, we're still very early in that. I think about these transactions, they're super complicated, regulated, state specific.
And so we think of that as like, that's something that we're excited, that's a challenge we're excited to get up and go tackle. And then lending, you know, think about that as like, you know, anytime someone pays back alone, they're in a pay that loan back and fall, they way overpaid for that loan. And so it's our job, what we see is we want to build models that can much more accurately predict whether that person's going to pay back. And if they are, we can give them a much lower rate.
Alex, this was awesome. Really appreciate the insight. Of course, if anyone wants to learn more, upstart.com slash dealers, I'm looking at the website right now, we'll throw the link in the show notes as well. So if you want to go just click below, you can get there as well. Alex, appreciate your comment on it. And this was awesome. Yep. Thanks, Jesse. Really engaging conversation. Appreciate being here. All right.
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