20VC: Lessons from Jensen Huang on "Founder Mode" | How to Know if OpenAI or Anthropic Will Kill your Company | How USV Liking Music Made Them $1BN on an Investment | The Five Year Desert to Product Market Fit & a $5.3BN Valuation with Shiv Rao @ Abridge

From 5-Year Wilderness to $5.3 Billion Valuation You have to taste good things to have good taste. It is critical in vertical AI being one of the first when you saw like the announcements from Open AI and Anthropic about four deployed engineers and you know, these partnerships with big private equity groups to go help their portfolios. If that wasn't a sign that there is absolutely an incredible opportunity for the foreseeable future for vertical AI, I don't know what is. We're in for a tsunami of health care needs and the system is not prepared to deliver it. They did the seed and the AUSV was our business model initially. The more you can feel inevitable, the more you will be. Speaker 2 This is 20 VC with me, Harry Stabbings. Now joining me in the hot seat stay, we have Shiv Rao, founder and CEO of A Bridge. What I love about A Bridge is yes, it is a $5.3 billion company today. Yes, they have the best investors in the world in the company today, but they went through a 5-6 year wilderness period where they were founded in 2018. They did a seed round of five on 15. That level of dilution. Speaker 3 Wow. Speaker 2 Those were the days, but now they are one of the hottest companies in AI going to show that persistence and consistency in the face of people not always believing in you is the key to success. As I said, $300 million Series E last round at a $5.3 billion valuation. This is an incredible story and I'm so happy to welcome Shiverd a bridge. Speaker 5 You have now arrived at your destination. Speaker 6 Shiv, I am so excited for this. Now, people don't know, but we actually met because I used you for a reference on a company and you were phenomenally helpful to the extent that my partner was like, can we just invest in him instead? Speaker 5 Which really would have been a much better. Speaker 6 Idea and I should have gone yes 100% and broken all the rules for it. Speaker 5 But thank you so much for joining me. Speaker 1 Oh, it's such a privilege. You're a legend. Speaker 6 Dude, I so appreciate that. So let's start with one that I often think about, which is great. CEO's are motivated by one of two things, I found either the fear of losing or the thrill of winning. Speaker 5 No right or wrong. Speaker 6 But if you were to say which one you are, which would you say you are? Speaker 1 Oh, it's a thrill of winning 100%. I love high stakes games, going for broke and trying to do something really big, trying to build a new product and trying to bend a new market or create a new one. Speaker 6 You said Bend New Market, I think you started the company in 2018. Yeah, now it's 2026. You've been hot for like two or three years. That is a five year wilderness walk, yeah. What are your biggest lessons on market timing as a result of that reflecting? Speaker 1 Yeah, I think that certain companies, certainly ours, have to have a true north. You live every day in in this anticipation that the sky is going to open up because you have this thesis about the market and you might not necessarily know exactly when it's going to come true, but you know it's going to come true. And when you feel that in your bones, then you, I think you, you can draw a lot of resilience. You can you sort of figure out that you just need to stay standing. You just need to not die. You just need to sort of like be there when it's happening. And for us, it was absolutely that way. It was this thesis that this idea, the secret hiding in plain sight that this, this data set, these conversations, it's the most human signal and it really powers healthcare. You can build a whole new set of rails on top of this signal. And the thing thinking was, well, at some point in time, the technology is going to be right, but also the market is going to be open. Speaker 6 Would you have died on this hill? And what I mean by that is sometimes you can have a thesis, you can even be right, but the market doesn't move fast enough. Speaker 1 Yeah, I would have died on this hill. I was willing to pivot on the specific product in what specific order we'd put a feature out. I was willing to pivot on go to market. Certainly we learned so much. Healthcare is incredibly complicated. Figuring out go to market is a really big part of of how you win, but I wasn't willing to move on the thesis. And for us that thesis that Healthcare is about people and they're having conversations, I think was just like core to the identity. And it would just have to be an entirely new thing. We just sort of shut it down and start something new if there was something else we could get really passionate about. How USV's Diverse Music Taste Led to a Billion-Dollar Investment You said before about the references that I take. I do. I stalk the shit out of you before this, which should make you feel very comfortable sitting in this dark room alone with me. End of the day in London. Why not? I spoke to Andy Weissman who led your seed round. I think market timing is one thing founders often worry about fundraising is another very hard thing. Was it an easy pre seed seed early fundraising environment for you? Speaker 1 I wouldn't say it was easy, but it wasn't hard at the same time. Now this was 2018-2019. Our series seed was like we raised $5,000,000 on a pre of 15. So not the world we live in right now, but it made sense then. Like we felt like this was market and we did did a really good job. I think that there is founder market fit, but there's also founder partner fit. You know, when you just sort of like have chemistry with a person at a firm, you just know you're going to find a way to work together. So with USV and Andy, I stalked Union Square Ventures for years ahead of the first meeting that I had with them and with him. I would like read all their tweets when it was Twitter and they had this ritual where they would talk about music. And I was always really impressed that they seemed to pattern match across totally different genres. The country western on Monday and then indie hip hop on Wednesday, and then like Swedish death metal on Friday. And to me, that's kind of how I enjoy music as well. And that if they could abstract at that level, my thesis was they could be the right tech investor to think about health care in a new, different way. So found a way to get to them through an Angel, through a friend at MIT. We went in and we sort of pitched and I knew at the end of that meeting that we were going to work together. Speaker 6 So would you not approve of my liking Céline Dion and Taylor Swift? That would go against me You. Speaker 1 Know, Speaking of Andy, Andy says this thing. He's like the biggest coffee snob in the world. And I once asked him like about exactly what his rituals are and the temperature and like the bean and all that stuff. You know, just like coffee's coffee man, I'll have any coffee. And when you ask him about music, he'll say I like all the sounds. So maybe on some on some level you can see the patterns and you can enjoy anything. The Role of Taste and Unending Ambition in Company Building I know it's very random, but when you said about coffee there and Andy, it made me think about taste. And everyone talks about taste today. That's the difference between those that are truly special and what separates humans and AI. How do you reflect on taste being the differentiator? Speaker 1 When we created our company values, this is before this whole taste cycle. We created our company values and like maybe the the most recent variant in 2021 or 2022. One of them is that you have to taste good things to have good taste. And this idea of taste, I think, makes a ton of sense to us. It's not just judgment, but it's being able to sort of see patterns but put things together in interesting ways that hit different, that feel different, that feel authentic, that really represent, you know, a person or people. And I think that's where the really truly magical companies are these days. Like where you can kind of feel like the human behind this product and feel like the decisions that they made, the things that they said no to, the strong opinions held tightly that they died on the hill for. Speaker 6 I love that taste. Good things to have good taste. Does that mean you should taste everything? Speaker 1 No, but I do think it means you got to be discerning. But if you're not exposing using yourself to certain flavors, then you're just not going to be aware of it. I think the way we translate that in the company, for example, is we should be reading the latest archive papers about some new type of machine learning model that maybe we can leverage. We should be thinking about the latest UI UX patterns out there and where we could take these primitives, you know, in our own specific space. You know, we should be just sort of like living at the edge of culture if we also want to create it. And I think like also in the best companies in some way, shape or form are creating culture. Speaker 6 You said about strong opinions, loosely held, Yeah. What was the strongest opinion that you've had that's loosely held? Speaker 1 Yeah, the loosely held, there's the tightly held ones, the ones that we would die on the hell own. The loosely held ones that I've like shifted on pretty profoundly overtime. I've had loosely held opinions about where the company's limits are, like how far we could expand and how quickly we could expand. I think a lot of our priors, all of our priors, are getting up. Speaker 6 To grow as quickly as you have done. Speaker 1 In some way, I feel like we are. We're on this journey that we were meant to be on. We're doing this thing that we're supposed to do. And by we, I mean it's not just the company, but all of our health system partners. It feels like we're part of a movement that we're trying to create right now. So I can't say that I ever woke up being like, what is going on? But I can say that I've gone to bed at night feeling like this is awesome. You know, this is great. And like we have to think about making it even greater. You know, you wake up in the morning and you're not at all satisfied. But at night, as one that one mentor, cardiology mentor once told me is like, try to go to bed with a little bit of perspective and a little bit of gratitude at least, knowing full well you're going to wake up with that fire in your belly again. Speaker 6 As I found it, do you think you can never be satisfied? Speaker 1 Probably not, you know, like you always want something more, you always want to build something bigger. And your ambition, it always gets bigger. You know, maybe it's, maybe it doesn't get bigger. Maybe you just you're you, you sort of reconcile yourself to a change in scope over time, you said. Navigating Healthcare Go-To-Market and AI Timing About the HealthCare Partners you work with today, yeah, yeah, I'm an ambassador in Lagora by name means similar in terms of space, but large space is traditional and now seeing tidal wave of adoption similar to healthcare. Every single law firm right now is going AII, need AI to stay relevant. Is that the same with healthcare and HealthCare Partners? Or is the downside fear factor making it slower? Speaker 1 No, 100% it's every single health system right now. There are doctors right now who we've heard who won't sign up to join a healthcare system, a hospital, if they don't have a bridge. It's one of those moments where all of a sudden, almost overnight, over the course of like 3 to 4 years, something just became, you know, table stakes. It's part and parcel with how care is delivered, especially in the outpatient space. Speaker 6 What did you not expect in GTM that surprised you most? Speaker 1 This is where strong ideas held loosely. You know, when you first raise capital, maybe you hear an investor give you advice about starting downmarket and swimming upstream, disrupting overtime. You know, get the get that PMF, find those fast feedback loops. And it's true to an extent, but you just have to be really careful and mindful because healthcare specifically in the United States, it's not one $5.3 trillion market. It's a bunch of different markets. And depending on who you're trying to serve, you have to be really careful about how you segment. If you're trying to serve clinicians, doctors, there's about a million doctors in the country, Maybe 800,000 of them are actually practicing. The vast majority of them are concentrated in large care delivery systems. They're called integrated delivery networks or payer providers there. Or they also have like pair arms, insurance arms or their academic medical centers like the Emory's, the Yale's, the UCSF's and beyond. And so when they're concentrated there, you have to think about getting there as fast as you possibly can because obviously you've got huge ambition. You want to create as much impact as you as you want, as you need to. And so the trap that a lot of I think healthcare founders fall into is that they stay down market. They don't figure out, they don't like time their Yolo shot to go upmarket at the right moment. And for us, things really worked out. We're incredibly lucky, incredibly privileged. But like, things worked out, a lot of different things happened in the marketplace at the same time on the other side of the pandemic. I'd say 4050% of the doctors in this country, we're saying that they were burnt out. And there was a study about nurses recently that was published in JAMA that suggested that 30% of nurses in the country didn't want to be nurses in the next 12 months. So there's all this burnout, all this fatigue, there's incredible financial pressures that have only continued since then, coming down from, for example, Medicare cuts. At the same time, there's this new technology, there's AI. We were in that moment where without even knowing it, we were pre selling the market and preparing the market for what we could bring. And then in 2023, when the sky opened, we ran right in. Competing with Foundation Models in Vertical AI I want to unpack a load of things that how important is being first. Speaker 1 It is critical in vertical AI, being one of the first. I think being late doesn't work. But you know, there's that refrain that being early is also being wrong. I think we're a good case study and being resilient, like you can sort of sort of overcome, you know, that issue of being perhaps too early. There's like 3 variants of like AI native company. Maybe there's like we started three months after the transformer paper. In my head, there's like post transformer paper, pre LLM company, there's post LLM pre agent company, and there's post agent company. And anymore, depending on your vintage, you have to make sure that you become the latest variant as fast as you possibly can. And that might mean that your product evolves pretty significantly. It might also mean that the way you organize your company and you operate your company evolves pretty significantly as we're seeing, you know in this in this new era with agents. But we were a post transformer LLM and as soon as like the LLM moment like happened, we became that as fast as we possibly could in all the different ways. And you know, now we've been doing the same thing in this in this new world with agents. Speaker 6 There's a couple of different ways that you can break down competition. One of them is the age-old and I see mass from Lagora pushing back against is now like Anthropic and release illegal product. Well, the foundation models could very easily do an abridge and build out a product suite. Speaker 1 How do you? Speaker 6 Fight back against the foundation models will build health care applications and replace you. Speaker 1 If you are fighting against them, you've already lost. If you haven't figured out how you're going to win with them, how you're going to not just coexist, but actually find ways to collaborate potentially, And if the tailwinds that they create are not yours to leverage, then you're, you're, you're screwed. Speaker 6 What does that mean for you then, if we take that? Speaker 1 So like healthcare, we say this is a vertical AI company. But you think about it, healthcare $5.3 trillion market, it's about 1819% of USGDPII, don't know if it's vertical AI company, company like we are an AI company in my head serving one of the biggest opportunities that is out there in this market. You can go millions of miles deep, especially on the enterprise side of the spectrum of healthcare. You can go millions of miles deep in a regulated industry with proprietary data sets that you can build into very, very specific workflows in a way that's really, really hard to replicate. But being fast, getting scale very, very quickly is crucial because like the scale enables you to not just build more products and just get more surface area. But we do a lot of mid training and, and post training in the company. On the post training side, it's being able to learn from all the users edits on a daily basis. It's being able to be useful for all the different types of doctors and all the different settings they deliver care and all the different spoken languages they might use with their patients. And so people, I think in 2023 thought that was like last mile. That's actually most of it is that part of the model piece is much less. But even on the model side, I think the vertical AI companies that have the most leverage, that have the most upside are the ones that can reach farther down into the stack and own their destiny in a different differentiated way that can kind of control their PNL. Speaker 6 How much of the quality of your product is derived from the quality of model that you sit on top of? Speaker 1 So about 40% of our model outputs inside our product are generated by in house models and that varies you know from month to month. Next month it might be 60% because we've distilled a new open source model and fine-tuned it and gotten some feedback and we are convicted and we've just replaced a frontier model with this, this new in house model. Speaker 6 What do you expect that to be in two to three years? Speaker 1 It's a great question. Optimizing AI Models for Quality, Cost, and Enterprise Readiness So I think this is where we're all kind of nobody knows the answer, but you just have to be, you know, principled in how you approach this. So there's any number of different problems we solve as a company with our product. Some of those problems you can kind of imagine ringing the bell relatively easily, like, OK, if we just help the nurse with this piece of data getting into this discrete field at this time in their workflow, we won the game. It doesn't need to be, there's no like bells and whistles around us. It's like once you do it, you've done it. It's kind of binary like and those sorts of tasks, being able to just crush it with an in house model makes total sense for a lot of different reasons. But most importantly for the user, chances are it's going to be faster. You can kind of optimize that model over time from not just a latency perspective, but also from a cost standpoint. Once you've done it too, you can kind of set and forget to some extent, like, OK, let's move on to the next challenge, you know, inside this new product that we're delivering for nurses. But then there are certain challenges in your product suite that you're never going to be perfect on. But every week, every month, you want to be able to look back and say you're less imperfect than you were before and it's going to matter. It needs to matter to the market if the market cares about you always improving on something that you don't think you'll ever be perfect on. And Healthcare is a lot of use cases like this. It makes more sense to ride the frontier wave. Speaker 6 Why did you decide to build your own models when Cursor did and TBD on whether that was actually effective? When you have the historical precedence that, say, underlying models move faster and more efficiently than you would create them yourself, why create them yourself? Speaker 1 Well, number one, it starts with the end user. Milliseconds matter when you're in workflow. These are doctors who are they have no, no patients for new technology. Our refrain inside the company is reduce, reduce, reduce. From a product and user experience standpoint, it's like we want to be like good air conditioning where when it's set right, we're in the background. You're just focusing on everything that's more important. And to get to that, though, you, you really need to think about being in workflow. The thinking machine stuff that just came out is really fascinating. It's like it's an agent that's in the moment with you, right? But that kind of experience, you need insane performance and latency. And that's something that we weren't able to achieve in an easy elegant way with Frontier Model. So for certain use cases, there was really no choice. It started with the end user. We're like, OK, to deliver this kind of value, the specific type of value in workflow so that before the patient leaves the room, the doctor is okaying an order or putting in the right visit diagnosis that ends up in forming billing in their own reimbursement. These are high stakes workflows. You need to be fast and so that's where where things started. But then quality is a part of it too. Speaker 6 What does the relationship look like for you between you and Frontier models and you and open source models, and has your reliance on one changed over time? Speaker 1 It's dynamic. I think inside the company we just always remind ourselves that the only thing that matters is the end user. We just have to have the best product and whatever it's going to take. There cannot be any pride of ownership here. It's just about what gives us the best user experience now that is end up serving us really, really well. Well, because especially over the last weeks, there's been a lot of angst about perhaps costs going up in the coming weeks and months and what's that going to do? Speaker 6 How cost conscious are you? If you look at open, obviously it's much cheaper to free versus being all on the frontier you. Speaker 2 Care. Speaker 6 If the output is different. Speaker 1 I don't Care now, but I also know that my future self might care more. That attitude is like, again, I think like just putting the user first in our specific space given our product and where it sits in workflow has allowed us, you know, to sort of build at a layer of the stack that gives us agency on the PNL that we wouldn't have otherwise. And that's awesome. But that's not what we're optimizing for right now, obviously. Speaker 5 When do you need? Speaker 6 To optimize because I have this conversation with a lot of founders and it's, it's, it's the same as this which is blinding. We've got a lot of funding. We don't need to optimize for cost. Now amp see the right answer. When do you When you go public? Speaker 1 I think when it gets in the way of our ability to create more impact, you know, to raise more money to impact more users, I don't think it necessarily has to do with anything around IP owing. One of our investors is Henry Kravis. And I remember sitting down with him in the first meeting, and one of his questions was, do you want to go public? And I remember starting to like, clumsily navigate an answer on the fly. And he interrupted me and said, no, you don't. Like you don't need to. Why? Why are you even thinking about it? Like the right answer was, no, I don't. I don't need to. I have a mission and to serve that mission I will do what it takes. And if if I can do it in the private markets, I'll raise money there. If I need to go public to do that, then I will go public. Automating Healthcare Workflows: From Notes to Billing with AI I think one of the biggest barriers to AI progression within large enterprise in the next few years will be data cleanliness. Data structure within large enterprises. Is it a mess in large healthcare organizations in terms of data preparation, data structure, data cleanliness? Speaker 1 Yeah, it is when you saw like the announcements from Open AI and Anthropic about for deployed engineers and you know, these partnerships with big private equity groups to go help their portfolios, If that wasn't a sign that there is absolutely an incredible opportunity for the foreseeable future for vertical AI, I don't know what what is. Speaker 6 Help me understand that why is that? Speaker 1 It's not easy. It's not easy to go into one of these enterprises and figure stuff out, to get access to the data, to clean the data, to organize the data, to be able to integrate into specific workflows, to do it in a compliant way, to check off all the boxes. It's not sock 2, it's high trust. It's like all the cyber stuff. It's being able to know that behavioral health information from a psychological encounter, for example, that data should be treated very differently than data that's coming from an internal medicine, primary care physicians encounter. There's just so much to it, and it takes a lot of effort to build a machine that's scalable. Speaker 5 Do you have to have an FDE process to be successful selling to enterprise with AI tools? Speaker 1 No, you don't. Not in our case. You're going to get to that zero to 1. You're going to get to that first product in all the ways like people in the health systems, in the clinics and listening to the doctors and the nurses and figuring it out. And but that's not for deployed motion. That's just like figuring out how to build a product that fits. But if your first product is something that is everywhere, you know, if if you've attacked A workflow that can scale, then you're you're sort of set. You know, it's like a classic motion of we picked a first product that we knew was everywhere in healthcare, you know, every single doctor, practically speaking, has to speak to a patient. Great, that's our signal. We're going to attach ourselves to that spoken signal and create value. Great. What's our first bit of value? It's a note. Got it. Do they hate notes? Yep, they hate notes. We can automate them. Great, we created notes, now let's go scale notes. Then it was like, what's next? They hate placing those orders. They have to hit all kinds of drop down menus and like figure out what the right order is. Cool, let's let's do orders. They hate billing. No doctor went to billing school, accounting school, revenue cycle school. And when I was a corporate VC at a large health system, we used to have these lunch and learns as a doctor and where we try to teach doctors about revenue cycle with pizza and PowerPoints. Every single doctor, 1000 yards stare. Nobody want to be there. So can we automate that for them? Absolutely. So now we've gotten to this point over, you know, the course of a few years where it's like every single clinician has this team of assistants that we are deploying in the background to go do all the jobs. And many of these jobs nobody wanted to do in the first place. Navigating Revenue and Competition in the Healthcare AI Market I spoke to one of your ambassadors who were my nameless for this one and they said amazing products and amazing everything that you said. But if you are to fulfill the enterprise value that you have today and you will have moving forwards, you have to move close to the flow of money. Is that fair? Speaker 1 I think it's not only fair, it's it's also what we want to do. When you think about it in the United States, but really this is like true in many parts of the world. Clinicians, doctors, they're not compensated for the care that they deliver. They're compensated for the care that they documented that they deliver. When we first realized that, OK, we're going after this spoken signal and the first thing that we're going to build with it before, during, after we capture it is a note. We knew we were creating bills too. And so you got to take that responsibility very seriously because the enterprise motion in Healthcare is complicated. You have a lot of different stakeholders. You have your end users, but then you have the decision makers and there's a CMIO chief medical information officer, there is a CIOA chief information officer, and then there is a CFO and they all have a different lens and being able to thread the needle, being able to resonate with all three is really how you win the day. And so being able to recognize from the from the get that, OK, these notes are actually going to end up being bills. So the let's approach this note generation architecture that workflow and and now what's become a much more agent during process. Let's let's approach that very deliberately so that we have the immediate extension afterwards into the CFO's world. Speaker 5 How do you compete when Epic do the same product? They're such a, they're like the the product that no one likes, but it's so entrenched. How do you compete in that world? Speaker 1 We are not competing with Epic. You know, Epic is a is a they. Speaker 5 Don't have a competitive product to you? Speaker 1 They have a, they have a product or a feature, they have something out there now even that's been out for a beat that that helps with notes. But you know, what I was explaining to you early is really, really critical for us. It was never about the note. It was always about the signal, the conversation that we were using as the wedge, that conversation that spoken signal allows us to now build into any number of workflows, even beyond notes. And when you're building notes with, for example, all of the revenue cycle that comes next, you build them differently. It's a moment where kind of like the Foundation model Company, like we don't ever want to be an electronic medical record. And by the way, like I grew up with Epic and I was at a health system that had multiple medical records and I was always the happiest when I was using Epic compared to any others out there. So we build on top of them. But the layer of the stack that we are building is the intelligence layer. And the wedge that we've chosen is the conversation. Because it's that sacrosanct moment in healthcare where the actual value is getting exchanged, where the doctor and the patient or the nurse and the patient, where they're talking about the care plans. And so being able to capture them in a way that's not just clinically useful but compliant is a way to build out that layer over time. And you can extend very easily. Strategic Mistakes, Business Model Pivots, and Data Ethics I think lessons are often learned from reflecting on what you did that you shouldn't have done. What did you do that on? With the benefit of hindsight, you're like it would have been better to choose an alternative path. Speaker 1 During the pandemic, I think everybody's just sort of figuring it out. I think perhaps we could have doubled down on research and just sort of hibernated for a beat into a research caves and or we were fine tuning Bert models, Bert and bio Bert, Long farmer and Pegasus and T5. And we'd published a paper in 2021 around how you could actually do some of the jobs we do today at scale, but do it with models that predated LMS. There's a world where we could have done more R&D, but the decision that we made pretty early on, even before the pandemic, was that the buried entry on the doctor side was so high, let's go build for patients. So we built a direct to consumer app that would allow any one of us to ask our doctor, Hey, can I record and capture the conversation and create a summary for themselves? I remember when we first pitched US fee for that seed round one of our slides had a doctor on one side, a patient on the other. There's like this mobile phone in the middle and was like, we can help both, both sides need help. Both sides want agency. Both, both sides want to own control the story or have that story. And we can do that. We can serve them with AI. And so we started on one side and there's like a part of me that thinks that we could have perhaps built differently there on the patient side. I it's super core to who we are and we'll get back to that. Actually, we're getting back to the patient side of that slide now again. Speaker 5 But it was a strategic mistake then to build that patient side. Speaker 1 Like relatively speaking, maybe we could spend a little a couple more cycles on R&D as opposed to, I mean, we were really banging our heads against the wall trying to figure out business models that could work. You know, maybe that's the mistake. It's, it's not actually that we've built in that space that I like. I really worked hard to figure out if we had a company there and we didn't. Because the companies that you can build on top of just the consumer in healthcare, oftentimes there's the kind of companies that that paint themselves into a corner that can never be trustworthy enough to go enterprise. They're the kind of companies where the business models would require you to take multiple showers every single day because you're selling really private sensitive information to who knows what entity. And that's we, we didn't want to be that, but like we realized that too late. I think the pivot that I should have made is probably OK, we built something really valuable here, but let's not lose sight of what where the actual revenues are going to be. And so, so like back to your maybe original question, I think like very strong about what the thesis of the company was, but you know, we pivoted a lot not just on go to market, but also business model. Pricing Mechanisms and Counter-Positioning Against Competitors You said about. Speaker 5 Kind of business model pivot that I think a lot of people are talking about. Oh, the rise of consumption based pricing like this is incredibly innovative thing, which is Twilio's been around for a while. Like yeah, tempers love that, yeah. And CF OS that you mentioned, you mentioned in different stakeholders, CF OS want seat pricing. They want to know that like, I've got 10 doctors, got 10 bills. What is your lessons on the pricing mechanism of the future for many of these frontier businesses? Speaker 1 Well, it's interesting. I think we're still learning. We started with a keep it simple idea, sensibility, perceive, you know an enterprise licensing the entire system. The first big competitor for us was Microsoft. They had bought a company called Nuance for 20 some billion some years ago and they had a product in our category and we still compete with them in the marketplace. But I think we've established ourselves as a completely different type of company with a completely different kind of offering. And at this point in time, we don't approach them the same way we used to. Speaker 5 So you don't buy bundling as a real threat. I remember I'm completely getting Nabla. Nabla is a competitor of yours, I think. Yeah. And candidate, I alerted them and I was like really concerned that bundling would be a very prominent threat to their ability to dominate the market. Was that a wrong concern of mine? Speaker 1 We don't see either of those companies much anymore. I'm not sure if it has anything to do with bundling. I think it has to just do with us being able to carve off like a category. You know, I create a category that I think has resonated with the marketplace. I was 2 days ago, I was in Atlanta and at Emory and was on some panels over there. But one of the doctors on the panel used a bridge as a verb, and then another doctor later used it as a verb. And then I asked one over dinner. Like, what do you mean when you said that? And when they describe what they mean by that, they mean something that it's a lot more than like, oh, it created a note for me. It's like, oh, it did all these different jobs for me and it unburdened me. And it allowed me to help, you know, just focus on the patient in front of me. And I think that's what's allowed us to win. Back to your pricing question. Yeah, I think there's a part of me that thinks that there's a lot of complex models out there and especially like the Microsoft's of the world, just obfuscate things so much and make things so complicated. We've won so far by I think even competitively positioning against that. But there's a part of me that thinks that, like, you know, we need to continue to take notes here because I see some companies in other verticals with incredibly complex structures and find out it's working and wonder if there's something to it. Speaker 5 I always say I always want my main course to be someone else's dessert because, like, I'm going to care much more than they do. And like, you care much more than Microsoft do about this market by very nature of the fact that it's all you do. Yeah. Any advice to founders listening where we have a lot of companies where it's like, well, they kind of could do, and they kind of do have a competitive product. Should we just row our own race? Should we be unwaveringly focused on them? Also any advice to them if you're sitting down with them? Speaker 1 I mean, you got, you want to compete against them, you obviously want to kill the competition, but the way you can kill the competition is mostly focusing on your product and keeping in mind what they're doing so that you can competitively position but also counter position. Building Trust, Leveraging Data, and Prioritizing Talent in AI Big companies oftentimes have a lot of soft spots that you can, you know, counter position against where they just have to watch you. Speaker 5 When you say counter position in that way, I know because I love Hamilton helm with 7 powers. Yeah. Can you explain what that means and how you think about using it to win? Speaker 1 When you're building in a in a way where the competitor couldn't build because it would impact their current business, it would hurt them. It really pushes them to think hard and probably prohibits them from directly competing against you. Speaker 5 What could you make a large amount of money on today, but for some reason you do not? And why is that? Speaker 1 We don't make any money selling data. We don't because trust is everything in healthcare. Like the industry moves at the speed of trust. It's like takes so long to build up. And we've been able to build it up, I think in record time, relatively speaking, in this industry. I think we've done in four years what a lot of companies take 15 to 20 years to be able to do and that's all things to the people inside the company and the relationships so they build and at the core of the product that we've been able to deliver and the value that we've been able to create. Speaker 5 Can I ask you a question? Is that not a moral question for the greater good? And what I mean by that is if you were to create a macaw for healthcare data, you would actually be empowering frontier models to create better models for the world to benefit global healthcare services. Is is that not a moral? Speaker 1 But how do you do it though? How do you do it? And who do you partner with to do it? And who's involved? Speaker 5 Is he Sam? Speaker 1 But but but who's a stakeholder? And so for us, when we build new features that leverage data, we have a refrain in the company which is earn the right. So we always go back to our health system partners and oftentimes they know about our road map in advance and they've already blessed it and they've already, we've already papered this into the contract that we can build XYZ with like the, the insights that we get so that we can improve the product or build other adjacent products that create whatever value. But building that foundation model is like we talked about it before, we, we do reach lower into the stack. We do train our own models. And to some extent we are, you know, these models are the, the real workhorse for us. And so could we build a model that ends up serving that kind of function for the greater good? Absolutely. We would just want to do that with everybody. These eyes wide open, all of our partners saying let's go, we want that too. In this industry, it works. In this industry, people kind of get it. Speaker 5 You can have access to Option A frontier models before anyone else for six months or Option BA talent pool of the best researchers and engineers for six months. Which would you rather? Speaker 1 B No question about it, because ultimately it's always about the people. And if you've got incredible people, you're going to build your own models, your own primitives and yes, the frontier models you're going to be able to ride. But that that arbitrage, that period of arbitrage, you know, that's, that's not the be all and all for us. Automating Low-Stakes Care and Empowering Healthcare Professionals Is the talent marketplace as hard as everyone suggests it is? Yeah. Speaker 1 Yeah, absolutely. You know, I think we have the benefit of being able to release a good amount of oxytocin for candidates. We're like a purpose company. We are a meaning company. You can be post money, but still want to put your best years into this company because we're at scale and we're trying to do three things. We're trying to save time for the people who matter most in healthcare. We're trying to save money for the system. We need deflationary economics in healthcare, but we also want to save lives. You talked about the greater good. We want to help clinicians feel like superheroes. We have a feature, for example, we just released where doctor goes in. We give them cues on what questions they should ask or diagnosis they should consider. And we're doing it in a totally differentiated way. Unlike a lot of clinical decision support products out there. We're using context. We're engineering the context about who this patient is. That context comes from all those different systems of record and from the conversation. Speaker 5 With the greatest of respect dude, if you're giving them prompts for questions and diagnosis, for goodness sake just replace them. Speaker 1 It depends. So every clinician if a bot can do their job. I think most every clinician will say like what are you talking about? There was an American Journal and General Internal Medicine article that was published a few years ago that suggested that doctors need 30 hours a day to get all of their work done. So understandably, we've looked at the paper, we've parsed all the different tasks that lead to 30 hours and we're picking them off. We're creating these teams of, you know, assistants of agents that can go and like get all the pre charting done for the doctor before they walk in, tell them what questions to ask, help them create their note, do their billing. All the other things that we can do, we absolutely will try to do. At the same time though, I think like to your question, there's high frequency, low stakes care that absolutely needs to be automated. Right now in Utah, for example, there's a bunch of controversy around companies being able to or starting to automate medication refills. Can AI automate prescription refills for a patient? That's as, you know, low stakes, high frequency as it gets. But it's those types of workflows that are will, you know, progressively get automated till we get to some approximation of maybe the most boring variant of primary care that nobody wants to practice. But as soon as you get into the hard stuff, you talked about taste and judgement earlier, that's where I think things get very real. And that's where invoke Japan's paradox or whatever. But we're in for a tsunami of healthcare needs and the system is not prepared to deliver it. Speaker 5 Unwaveringly don't worry about like, oh, we're going to fire doctors because we don't need them. Yeah, yeah, yeah. It's the most ridiculous. Have you ever been to like an emergency room there? Speaker 1 Are people out there? There are people out there. Yeah, yeah. Speaker 5 They need to go to an emergency. Speaker 1 Room on Friday night and see the. Speaker 2 Goldman, actually recently. Speaker 5 I was reading weirdly I have like bedtime reading that I queue up every night. I need to get out more. Embracing Founder Mode and Overcoming Executive Hiring Challenges I used to party. Speaker 6 Now I have bedtime reading where I save articles in the day and I was reading one last night and they said that it was an article by Goldman and essentially they estimate that agents within a five year. Speaker 5 Period will increase token consumption by 24X. Very specific 24X25 would be exaggerated. Do you think that is overplayed, underplayed, or about right? Speaker 1 I don't know about the specific number, but I think think directionally I think so you just can't get enough of this technology once you start to use it, even as inference costs come down, you just end up using more and more and more of it. I think for certain jobs, especially the jobs that you'll never be good enough on, you know, those are bottomless pits now more the number before even reflected in the way people are organizing their companies these days, you can cover a lot more surface area, so you just do that much more. Speaker 5 What's the hardest role to hire for today? Speaker 1 I just think getting really amazing executives, like really high judgement executives into a company like ours is, is critical. A part of it is because this is pretty unprecedented, this moment, being able to have folks who can serve as guides, who have a lot of patterns that they can match against priors, but the right person who can kind of go against those priors but can kind of reflect upon them. The time between a decision and an action is getting compressed. Obviously product development, we do things differently now than we did a year ago even. Every layer of the company is getting compressed. And I think high judgement people, incredible executives is is still a thing that I'm working on. Speaker 5 How do you think about, you know, Brian Chesky obviously speaks about founder mode and the importance of getting as close to the bare metal as possible. How do you think about that? On the one hand, with the need for exact pattern matching playbooks you mentioned. Speaker 1 That I, I, I don't think they're the, the go together. I think like founder mode. Is it just about, to me it's about tours of duty depending on what's on fire inside the company or like what's the most important thing and what you're best at. You just go crush. You just have to go kill whatever that challenges. And it doesn't mean getting into the details and micromanaging everybody in the company. It means doing the tour of duty when it makes sense. Jensen NVIDIA is one of our investors and Jensen told me this. He once called me at midnight and it was like on his way home cold call. And I knew it was him and I picked it up and it was. It was awesome. Speaker 5 Are you in bed? Speaker 1 It was, and I got up. Speaker 6 It's my daughter, you. Speaker 1 Are going. Speaker 5 To fly even your wife. Speaker 1 That's actually what I said, what I said. She was like, whatever. I was like, hello Jensen. I'm like whispering to him. He was he was calling me back because of an e-mail I had sent him. I'd send him like A2 liner earlier in the day. So his SL as are insane. He responds that fast. It's really wild. He wanted to unpack like a challenge that I was experiencing. But one of the lessons for me that day was just like your job is to fall in love with whatever the job is. That is something you can do. You can convince yourself you have to find a way to bend your DNA to like crisper new DNA in that like loves living on airplanes. I live on airplanes now and I, I think if you caught me like 5 years ago, I'd be like, never, we're not going to do that. Like we're going to find other ways to grow and scale. But this is what the job requires and I enjoy it. Speaker 5 What have you not crispered your way into yet that you need to? Navigating Company Culture, Remote Work, and Hiring at Scale Yeah, it's, it's a good question. I'd say like, you know, people's strengths or their weaknesses too. There's there's like a shadow to what you're very, very good at. I have HR reporting to me, you know, like that kind of stuff is not the kind of stuff where I think I'm operating type of license like. Speaker 5 I tweeted the other day that no great CEO ever liked HR. Yeah, I have never got so much hate back. I mean, really, it was just surprising too. I thought that was why. Like, you know, we all joke about like Karen in HR, but I know about everyone's, like, you know, you're a Dick. Speaker 1 I'm surprised by that. Speaker 5 Oh my God, savage at that. And then I said, listen, if you want to work from home on Friday, that's OK, But just accept that bluntly, you're not going to work as hard. You're going to go to plot is at 10 and work from home. Fridays is bullshit. Four days a week? Are you 5 days a week in office? Speaker 1 We have three days in office. Speaker 5 Huh. Why? Speaker 1 We just have certain folks who have to travel long distances in order to get in the office. And so we're still adjusting what exactly like the sweet spot is is. Speaker 5 That OK, Would you not rather have five days a week? Speaker 1 I love being around the people, I love being at the whiteboards, but I'm also living on airplanes. But I just know how much especially EPD benefits about everybody in the company honestly like benefits. But this moment things are moving so quickly that the more time that you have in person, the better. There's no question about it. I'm not like a top down. We're not like top down 996 obviously, but we don't have that kind of culture. And I think that there are a lot of people who are token maxing and like it's good hearts law do. Speaker 6 You worry at your size, you. Speaker 5 Malay into slowness process policy. How many people do you have? Speaker 1 450. Speaker 5 450 Is it possible to only have a players at 4:50? Honestly. Speaker 1 It's a great question. I think so. And I think, I think it takes everybody in the company continually looking at what their bar is and reassessing and making sure that everybody is. Speaker 5 When did you stop meeting everyone who joined? Speaker 1 It's been a long time. It's been a long time. Speaker 5 100. Speaker 1 Even probably even a little bit before that, honestly, it was around. Speaker 5 Then is that right? And how would you advise other founders on how to? Speaker 1 I don't think that there's any playbook honestly. I think it depends on who's around you too. Like what executives around you who can do a lot of that work as well. I think culture is critical and no matter what the founder CEO thinks, they play a huge part in setting it. And there are a lot of different ways you can you can kind of convey what you believe is the culture that's going to help you win, achieve your mission. And meeting every single candidate isn't necessarily, in my estimation, one of them. I think if you really trust your hiring managers and you really trust your executives as carriers of that culture, you can work it out. The 'Titanic Rule' and Being a Wartime CEO What is the most non obvious but core cultural element that isn't standard? Everyone's slightly more ambitious people, people that care, mission oriented, all that Wonderful. So one weird one for me is that it's called the Titanic rule, and I mentioned Céline Dion earlier. We love Titanic. Yeah, great movie. It's three hours long. Everyone should be able to go to a cinema with their families. But if you're asked a question on Whatsapp's, like, you need to respond within 3 fucking hours. It drives efficiency and urgency. Titanic rule. Yeah. Anything that guides your principles. It's less obvious. Special Counterculture. Speaker 1 You know, like the Joshua from Lux, I remember years ago meaning him, and I think he says this a lot, but chips, chips on shoulders makes chips in pockets. I think that's it's a hard thing to kind of be able to assess in a person. But there are just certain people who have insane slope. And that slope is coming from something very, very deep in core to, you know, to who they are. They're on a mission and you see them and you just want to you want to invest in them, you want stock in them and you just sort of feel it. So I think like it's not that you're looking for like there's a bunch of VCs out there looking for broken people. And we're talking about psychological assessments, I think before we started and how some VCs will do that. And I had one before we, we took money from one of our investors. But I think it's just looking for a level of fire that's going to translate into not only those SL as you talked about, but you know, resilience and grind. And it's always wartime. And it's a different kind of war now than ever before. And not everybody's a warrior. Speaker 5 Are you a all time or a peacetime CEO? Speaker 1 Come on. Come on. Speaker 5 You're a wartime CEO. You. Speaker 1 Can't be. Yeah, there's no other. There's no other way to be. You're always competing. You're in a market that is moving so fast. Like who's a peacetime CEO? Like even the Costco CEO who I think is awesome and under celebrated, is he a peacetime CEO? Maybe he is. Maybe he's a good peacetime CEO. But. Speaker 5 Minute the founder transitions out of CEO roll amount. Do you agree with that? Speaker 1 Yeah, I definitely like, you know, I believe in those types of companies. Those are the types of companies I want. Speaker 5 What stage of a bridge development have you struggled most with? You know, I always think product market fit is but a series of chapters that we always get it wrong. It's like, oh, I had product market fit and then boom. So you can't see finding new product market fits. What chapter of company development did you find the most challenging to grapple with and and what do you know now? Speaker 1 You know, honestly, like the the chapter of company that that sucks the most is like the one where you don't feel pressure. Like we, we have a saying the company pressure makes diamonds. When it feels somehow like you're on cruise control, you're on autopilot. That kind of sucks. If you're not figuring out how to 10X your ambitions, if you're not figuring out how to think outside the box or find new pockets to pull from, new value to create. If you don't feel that pressure for some reason, if you're coasting, that doesn't feel feel good at all. Preventing Loose Spending and Navigating VC Relationships What's the largest round you've raised? Speaker 1 Our last one was 300 about a year ago. Speaker 5 So when you raise 300 million, how do you prevent expenses and budget becoming too loose? It's a lot of money and I see it with a lot of companies. Why suddenly spending just becomes loose? Events, travel, hotels so that it's loose. How do you prevent that? Speaker 1 You hire really principled finance leaders who can work together with you to unpack what the goals of the company are and then recognize that against certain goals you don't want to blink. You raise this capital because it's a brute instrument now that is going to allow you to win. And so against certain things you just don't want to even debate. And if you are, you're doing it wrong. But having the right business minded folks and finance leader means that you should probably also have the discipline to know that you didn't need what I just ordered for our New York City office. Like some fancy speakers. But sometimes that stuff creates culture too. So yeah. Speaker 5 What was the hardest round to raise? Speaker 1 The hardest round was a series A1. You know, venture capital, you know, you obviously know was a week round. We were in a weak spot because there's like a digit at the end of it. A1. Speaker 6 What the? Speaker 1 Fuck is it? Yeah. Obviously things are tough over there, but those first years we talked about like the consumer product business models not feeling right. Speaker 5 Did you just get lots of no's? Speaker 1 We got a handful of no's on that round for sure. Speaker 5 Does USV not just guarantee your next round? Speaker 1 They did the seed and the AUSV was our business model initially. We had other great investors like Bessemer and Pillar and and plenty of others but we were pre inflect and so we knew we could feel it. It was. Speaker 5 Happening in that A1. Speaker 1 Yeah, we we found folks who believed and Winnington Ventures for example, like we did a round at a 2X folks believed that it was coming soon. We got. Speaker 5 It like aid on 40 it. Speaker 1 Was on 100. Speaker 5 Oh wow, that's pretty good. Speaker 1 Yeah, Yeah. Well, well. Speaker 5 Do you ever worry about becoming the jewel in a VCs portfolio? Speaker 1 How so? What does that mean? Speaker 5 When a VC realizes that you're that kingmaker, all the pressure goes on you, because if you, if I've got a bridge in my seed fund, you are my multiple fund returner. You are the only one that matters. Now my attention, pressure, focus concentrates on you. It's kind of like the the spotlight shining on the one that works. Speaker 1 No, I don't think about it at all. Sacrifices, Family, and What Not to Miss as a Founder You don't think about it, no. Do you notice the power transition changing from VC to founder, where suddenly you're invited to the ATM? You're invited to speak at their event. You're invited to do their reference calls. Speaker 1 Yeah, I think in 2023, we did like 3 LP meetings. That's when I knew things were things were going well. No, I don't. I don't. I don't think about it. I think we have a job to do. We're doing it, they're a part of it. Speaker 6 You have 3. Speaker 5 Children as well. I'm always contemplating family. I think it's one of the most important things. Do you have any lessons to me on how to be a great CEO and how to be a great parent? Speaker 1 I think that there's trade-offs, there are sacrifices and the folks who say you can have everything are lying. You just have to be eyes wide open on what you're giving up. Also have to be eyes wide open on high level perspective. Like I have a mentor who said just go to sleep at night thinking about PPG perspective, active purpose and gratitude. The perspective I have is that this is what powers me. Like I have to do this work and I also love my family and they come first. But sometimes there are trade-offs and I can't be at the the kid event. I live on the road. I'm traveling five days a week base. I'm in San Francisco Monday, Tuesday, Wednesday, and then I'm probably seeing customers and then Saturday and Sunday I'm with my wife and kids and I'm missing a lot. But it's just one of those things that you have to like, come to peace with and recognize too, that there are times of life. And this is one of those. Remember when you know Louis von on. Speaker 5 Yeah, of course I interviewed him. Speaker 1 I remember in his S 1, he he's from Pittsburgh as well and also Union Square Ventures funded and I'm sure that had something to do with USB being more comfortable with me because I certainly didn't have a track record ahead of that seed round. But he has that one line in this one about how the only thing you need to know is that I'm dedicating my life to this on some level. I think my family are all dedicating a portion of our lives to this and we're all eyes wide open on the sacrifices that we're making and. Speaker 5 What are you not willing to miss? It's like for me, I walk a marathon everywhere with my mother on Saturdays. I'm not willing to miss that. I'll get a little super, super late flight back Friday night. I'll not go. I didn't care. I'm not missing the Saturday morning. What is your? I didn't care. I'm not missing. Speaker 1 Yeah, Sunday with my dad and my mom, big part of the reason that we're still in Pittsburgh. Honestly, although I, I, I try to convince my 15 year old daughter to move to ASSAF recently. It didn't didn't work, but I think we're on the field. But a big part of the reason we're inking there is aging parents. My dad has heart failure. I get to see them and I get to bring the kids to them and it's the highlight of their week and I get to do that every week. I'm happy to live on airplanes to make that happen. So that's the thing. San Francisco's Ecosystem and the Inevitability of Mission I'm not willing to give up and it's an incredible opportunity privilege that I I get to do it. Speaker 5 Final one before we do a quick file, I think San Francisco is the worst place to start a company because it is so impossible to acquire and retain talent as a startup. Think 5 million seed funding going up against your bridges on the 300 million A this one and the opening eyes and anthropics. Do you agree or am I short sighted and wrong? Speaker 1 There are so many cracked early stage teams over there. And the reason why I don't agree is this moment is so insane. You know, like the amount of people, the amount of ideas, the amount of creativity, the amount of energy right now that's concentrated in that area. It's just wild. We went against the grain when we started. We started a lot of Carnegie Mellon DNA. We started in Pittsburgh. We built in Pittsburgh for years. And then I think with this AI moment, it just became so clear that we had to move, you know, in 2022-2023. Speaker 5 Should you have moved earlier? Speaker 1 No, we did it exactly, exactly at the right time as we were inflecting. We just needed to be, you know, in that moment. And the amount of ideas that you just osmotically absorb by being there, the kind of talent that you have access to, the kind of mentorship that you have access to, I think it's it's, it's super important. Speaker 5 I'd love to do a quick fight because I could talk to you all day. What have you changed your mind on in the last 12 months? Speaker 1 Yeah, I've changed my mind on how a company can operate, how it should be built, you know, how flat it can be. And anymore I'm in this very the idealistic mode that we can be a very, very flat company in the near future. Speaker 5 What does that actually mean in reality? Speaker 1 Just like less managers, like a lot more ICS, super ICS, taking on that much more everybody with these tools able to move in lockstep and able to be coordinated in a way that was impossible before. Speaker 5 I tweeted the other day that my single biggest advice to a graduate is to be full stack. Like if you're a marketer, be the one who creates the copy, edits the video A. Speaker 1 100%, yeah. Speaker 5 Super icy. Speaker 1 Totally agree. Speaker 5 What's the kindest thing anyone's ever done for you? Speaker 1 Because we're talking about venture and raising, I would say that one of the most generous things, maybe not kindest, but like the most generous things in reflection was people betting, you know, on me really, you know, when when I had nothing really to show for it. Speaker 5 Is King making real in terms of an investor brand denoting a winner in a space? Speaker 1 It's less the brand, it's more the the placebo effect, it's more the psychology. The more you can feel inevitable, the more you will be. And I think when you're able to to spend time with folks who you really admire, who've got incredible track records, when they bet on you, you start. That just sort of starts to seep into your psyche. Speaker 5 Do you feel inevitable now? Speaker 1 I feel our mission is absolutely inevitable and I think we're in a war to make sure that we're the ones that we make it happen. But on some time horizon it's absolutely inevitable. Elad Gill's Wisdom and AI's Transformative Impact on Healthcare Making healthcare cheaper, better, faster. But we're at war to make sure that we're the ones to do it, and we do it in the next two to three years. Speaker 5 I know a bridge is your mission for life. You start a new company, you can only take one investor with you. Who do you take with you? Speaker 1 I started a new company right now I would call Elad Gill. We'd go big, like single GP, you know, like all of the, the wisdom in his head, all that I've learned from him, his ability to go every stage and be incredibly valuable. What's? Speaker 5 Your biggest lesson from a lad? Speaker 1 So many lessons. I always feel somewhat like just like a people with him. I just want to like learn. But recently we we've spent time over the last year talking about Corp dev, his lessons learned from his days at Twitter. And like, how do you do that that effectively and how to think about Corp dev and how aggressive you should really be if you decide you're going to do it? How you need to have people just fully focus. That needs to be their entire job. You can't split people's, you know, brains on it. If you're going to do it, you got to be binary learned a lot. But there's lessons like that that always come out of him. Speaker 5 Who do you think is most underappreciated CEO today? Speaker 1 That's a good question. I honestly like because we talked about that Costco CEO, I think it's that guy, what's his name? Ron, something I think I see, he's a guy who went from the forklift to the executive office, like all the way up. He's a lifer over there. He carries the torch of culture and he's managed to continue to grow a business that obviously like he inherited or he was already awesome, but they've only had what, 3 or 4 CEOs? But that's like one of those businesses that you don't read about it enough. I think that is absolutely amazing. Obviously I have my idols like I have people like Ollie Ghazi, who I think is an absolute legend in the way he plays chess and navigates his market. And I just try to learn as much from from a side outside in. But that guy I think is pretty pretty awesome too. Speaker 5 Final one for you when you look. Speaker 6 At the next 10 years. Speaker 5 What are you most excited for? Speaker 1 Where I'm focused right now is healthcare. Like that's all I live and breathe. That's all I think about healthcare. It's just an absolutely messed up market. You remember that XKCD from years ago? I think it was where it was about Conway's Law. You build what you look like. Yeah. And they had Apple there and it was a concentric circles before their headquarters. There was Google, it looked like a like a neural network. It was Facebook like like a graph maybe. There was Microsoft. And it looked like silos pointing guns at each other. And that's what Healthcare is in the United States. It's providers, health systems, pointing guns and getting pointed at by insurance companies. And then there's also life sciences companies. And those 3 stakeholders in some way, shape or form are misaligned. And they're not only misaligned with each other, they're misaligned with the people who matter most, the patient, the person. And the opportunity that we've got right now with AI is not to deploy the latest model and make science fiction happen in a clinic. It's to change the business model. And this technology is going to do it. It's doing it right now. And we're going to see that on both ends of the spectrum. We're going to see to your point earlier, we're going to see a lot of AI doctors, we're going to see a lot of automation of high frequency, low stakes workflows. But then on that enterprise, that healthcare system, when you get really sick, you're still going to want to see an expert. We're going to see new models that actually align folks and incent prevention. Prevention, meaning like care and, and, and not like, you know, healthcare, not sick care. So I think that's what I'm most obsessed with right now. And I don't think it's like even a 10 year horizon. I think we'll start to see the beginnings of that in the next three to five. Speaker 5 Dude, listen, this has been such much a joy to do. Thank you so much for doing an impasse and it makes it so much more special and for putting up with my meandering around. Speaker 1 That was amazing. Thank you, Harry. It's a privilege.