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Podcast Notes: This Week in Startups - E2052 Episode Summary In this episode of "This Week in Startups," host Jason Calacanis and co-host Alex Wilhelm welcome Alex Kendall, Co-Founder & CEO of Wayve, an AI company focused on self-driving technology. The conversation explores Wayve's innovative approach to autonomous driving, the economic viability of self-driving vehicles, and a detailed analysis of MicroStrategy's Bitcoin investment strategy.
Key Participants
- Jason Calacanis: Host, Angel Investor
- Alex Wilhelm: Co-host, Tech Journalist
- Alex Kendall: Guest, Co-Founder & CEO of Wayve
Episode Highlights
Introduction (0:00 - 8:29)
- Kickoff: Jason and Alex introduce the episode.
- Guest Introduction: Alex Kendall discusses Wayve's background and significant funding of $1 billion raised in May 2023.
Wayve's Approach to Autonomous Driving (3:00 - 19:58)
- AI Focus: Kendall emphasizes that self-driving is fundamentally an AI problem.
- The importance of generalizing driving behavior in varied environments.
- A camera-first approach as opposed to traditional LiDAR systems.
- Technology Deployment: Discusses the timeline for deploying Wayve's technology.
- The company aims to integrate into existing vehicles, making autonomous driving broadly accessible.
Economic Viability and Market Strategy (12:23 - 30:01)
- Viability of Autonomous Vehicles: Exploring how Wayve's technology could change the automotive market.
- Subscription Models: The potential for offering autonomy as a subscription service.
- AI Driving Behavior: Discussing the challenges of teaching AI to navigate complex driving scenarios.
Insights on MicroStrategy's Bitcoin Strategy (37:05 - 52:29)
- MicroStrategy's Investments: Jason dives into the company's heavy Bitcoin investments and the associated market concerns.
- Convertible Debt Analysis:
- The implications of MicroStrategy's $3 billion convertible debt due in 2029.
- Concerns about the company's high trading premium compared to its underlying Bitcoin assets.
- Investor Sentiment: The potential risks associated with the company's heavy reliance on Bitcoin, especially in the event of market downturns.
Final Thoughts and Future Interviews (52:29 - 54:09)
- Invitation to Michael Saylor for a future episode to discuss the nuances of MicroStrategy's strategy further.
- Closing remarks about the competitive landscape in autonomous driving and cryptocurrency markets.
Key Concepts and Discussions
Wayve's Unique Selling Proposition
- Embodied AI: Kendall's focus on creating an AI-driven model that can generalize driving behaviors without the need for extensive pre-mapping.
- Adaptability: The ability of the AI to drive in various environments, learning from experience rather than relying solely on pre-programmed instructions.
Economic Considerations
- Cost of Autonomous Vehicles: Discussion on the cost of Wayve's technology versus competitors like Waymo.
- Market Dynamics: The role of economic viability in scaling autonomous driving solutions.
MicroStrategy's Bitcoin Position
- Convertible Debt Risks: Analyzing how the convertible debt structure could impact MicroStrategy's financial stability.
- Market Psychology: The challenges of understanding the premium on MicroStrategy's stock relative to its Bitcoin holdings.
Actionable Insights
- For investors in MicroStrategy, consider the implications of the convertible debt and the actual value of Bitcoin holdings.
- For those interested in autonomous vehicle technology, keep an eye on Wayve's deployment strategy and the evolution of AI-driven solutions in mainstream vehicles.
Conclusion This episode offers a rich perspective on two cutting-edge topics: autonomous vehicle technology and cryptocurrency investment strategies, highlighting the intersection of innovation and economic realities.
Subscribe and Follow
- TWiST500 newsletter: [Subscribe here](https://ticker.thisweekinstartups.com)
- Wayve: [Visit their website](https://wayve.ai/)
- MicroStrategy: [Check out their page](https://www.microstrategy.com/)
- Follow the hosts on X (Twitter):
- [Jason Calacanis](https://twitter.com/Jason)
- [Alex Wilhelm](https://x.com/alex)
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These notes encapsulate the main discussions and insights from the podcast episode, serving as a resource for those interested in startups, technology, and the evolving landscape of investment strategies.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Whenever people make up new terms for revenue or expenses, any of this stuff, it's going to be a pink flag or a red flag. pink flag is what i wave on the way to a red flag red flag means stop don't participate in this pink flag is do we ask some questions if you're a micro strategy holder my best advice to you if it was a family member said hey i put a hundred thousand into this i double my money my best advice to a family member and this is not financial advice for anybody else this would be for my brother sure my mom i'd say sell it you doubled your money sell it and then go buy bitcoin directly if you love Bitcoin, because now you're going to get four Bitcoin for every one that you bought last month, if you in fact doubled your money.
0:41And it's this whole thing, not your keys, not your coins. You probably want to own it yourself, have your own coins, or maybe be in something that's super trusted. I'll have Michael Saylor here on This Week in Startups. Happy to have him on. He can explain it. It's not personal with Michael Saylor, just so we're clear. This Week in Startups is brought to you by CloudDevs. Building the best remote team is tough, But you don't have to do it alone. Visit clouddevs.com slash twist for an unbeatable offer on hiring elite LATAM talent today. Vanta. Compliance and security shouldn't be a deal breaker for startups to win new business.
1:15Vanta makes it easy for companies to get a SOC 2 report fast. Twist listeners can get$1 ,000 off for a limited time at vanta.com slash twist. And Kite. Looking to get out of the city? Rent a car with Kite. Kite delivers rental cars to your door, no counter, no lines, no hassle. Download the Kite app today and use code Jason to save 10 % on your first rental. Hey, everybody. Welcome back to This Week in Startups. I'm Jason Calacanis. He's Alex Wilhelm. You know him from his tech crunch days. You know me as an angel investor and from a little podcast called All In. This is the podcast that started it all.
1:49This is where Chamath and Sax used to hang out before All In, This Week in Startups. What are we doing This Week in Startups? Well, 14 years ago, it started as a show where I would interview a founder, And then it was two founders a week. And then, I mean, it got up to six days a week and it took over my life. It's been great. I got Alex here now. We're going three days a week, Monday, Wednesday, Friday, at noon, Texas time, 1 p.m. East Coast. We're going to talk to whoever the main character is at the moment in time. Maybe that's Michael Saylor right now. Maybe it's Trump some weeks or J.D. Vance, a politician.
2:21Sometimes it's Elon. Sometimes it's Sundar. We talk about whoever the main character is. We talk about startups and we talk about all the technology trends. We have a big docket today. Let's talk to our first guest and just get started. We're going to talk about MicroStrategy after our first guest. Okay, let's get started. Alex, who's our first guest on This Week in Startups? So very happy to report that I have sourced yet another Alex for the show. In this case, it's Alex Hindle. He is from the Wave team, W-A-Y-V-E. One of the most interesting companies, I think, in the realm of autonomous driving, slightly more under the radar here in the States than Waymo, Jason.
2:58We've talked about Waymo quite a lot. People might recall that Wave raised a$1.05 billion Series C back in May, led by SoftBank. And then later on, Uber invested in the company as an extension of that Series C. So they're backed by SoftBank, Nvidia, Microsoft, and of course, Jason's favorite company in the world, Uber. So Jason, you wanted to have them on. They're part of the Twist 500 and they have a very unique approach to autonomous driving. So welcome to the show, Alex 2.0, Alex Kendall. Hey. Hey, guys. Hey, Jason. Hey, Alex. So tell us about your approach to autonomy. We talk about a lot here on the program, the autonomy endgame.
3:33We all know autonomy can work, but there's a final series of bosses. The final boss being regulators and safety, maybe open roads. You tell me what you consider the final bosses, but where is Wave in terms of its contemporaries? And let's just pick two contemporaries that people talk about the most Waymo doing 150 ,000 rides in three or four cities. And of course, Tesla, which has the largest number of FSD vehicles, but they're supervised FSD at the moment. What does Wave fit between those two competitors or industry leaders? I love that the final boss level, it's it's got to be AI. I mean, self driving is an AI problem.
4:14And I think that's fundamentally the bet we made seven years ago at Wave. It's not the perception It's not the infrastructure, but it's the decision-making in complex multi-agent environments, being able to predict how others are going to behave and more importantly, generalize the situations you've never seen before. You're never going to see the same thing twice on the road. And there's so much diversity of weather, of different behaviors, of different situations you can encounter. So the key thing you ought to realize is this is an AI problem. AI, you've spoken tons on the show about large language models, but I think that's just the tip of the iceberg with AI.
4:50Bringing it into the physical world and what we call building embodied AI, I think this is what's going to enable self-driving to really scale, getting us off the drug of LIDAR, of high-definition maps. So what we've built at Wave is one end-to-end neural network, a single AI model capable of driving in a very generalized sense in different countries, different vehicle types, including on roads it's never been to before, all with a camera first solution with just equivalent of a single GPU. And the really exciting thing is that many consumer vehicles that are being produced today have that equipment on their vehicles.
5:28And so we think this is the opportunity to bring this technology to mass market and do so through end-to-end machine learning. Alex, really briefly, is that GPU that you mentioned that's on cars, does that run the whole neural network locally or is there a off device component to the computational requirements that you're talking about no everything's running on board the vehicle so a single you know couple hundred tops gpu wow so there was a paradigm shift at some point where we went from writing lines of code and trying to process the world in real time and say is there a stop sign is there a pedestrian what is happening in the real world and then if this then that hard coding of the world and then these neural networks came out and we just said hey here's a bunch of videos of humans driving correctly do what they did on the streets of london particularly chaotic place um with streets that were designed you know hundreds and hundreds of years ago as opposed to say a grid system in arizona where it was just plopped in place uh you know in the last 50 years or so, or maybe in the 50s, maybe 70 years ago.
6:39So maybe you could just explain, did you start in the hard coding era and then move to the language model era? Or have you always been in this sort of new paradigm? No, we've been all in on an end-to-end approach since my days of research at the University of Cambridge, since starting the company. We've been all in. And I know it's, I think, gathered a lot more market traction recently. But seven years ago when we started, So this was a really contrarian idea. Everyone in the industry was telling me, look, this would never work. This would never be safe. But what we've seen is just the most remarkable outcomes possible.
7:14I'll give you a couple of anecdotes. The first one is we can now train these systems to not just understand how to drive a car with sort of a vision action model, but we can actually also ground them in language. So these models can not only drive and understand the world around them, but also engage in language, explain their actions, or even take instructions or feedback through natural language. Could I tell a car then, Alex? Could I say, hey, you're going a little bit too fast for my taste, slow it down, and then it could digest that and then have that impact how it actually drives? Yeah. Or, you know, we put an example on our website of one of our cars overtaking a double-decker bus in London and it says, hey, I'm pulling out to overtake this bus because it's pulled over for a bus stop and I'm going to tuck back into the lane afterwards.
7:57It gives you, I think, a much more of a chauffeur-like experience rather than simply an invisible railway track driving experience. So when we look at this model, there was a big bet made by Tesla and Elon that was along the lines of, we don't need LiDAR. Human eyes are taking input in and they've been driving for a hundred years. These cameras have higher fidelity. There's more of them and they're looking in 360 degrees. So therefore, cameras alone should be able to solve this problem. We're not going to need LiDAR. Waymo said, no, we want as much sensor as possible. We want as much maps as possible.
8:34It sounds like you sit on the non-LiDAR group. Maybe you could make the argument for and against lidar as people in the industry see it and where you think this will eventually wind up look jason we're actually uh sensor agnostic i think ultimately long-term a camera first solution will be most scalable it's got the right information to make decisions but bringing in a redundant sensing modality can be a pragmatic way to to get a system to market sooner i think the key thing though is that you need to use sensors that are have a good supply chain cost effective and give you surround redundant vision to be able to get an L3 or an L4 solution to market.
9:11But cars today that are being produced by major manufacturers have surround cameras, surround radar, and a single forward-facing LiDAR. I'm not talking about the robo-taxis driving in Beijing or San Francisco, but mass market, high volume vehicles, maybe not mass market, but at least the luxury end of consumer vehicles are coming out with those kinds of sensors. So of course, they're a great platform to bring to autonomy. They're still a far cry from some of the robotaxis that you see in San Francisco that have enormous amounts of sensing. But that kind of sensing is a great place to get started.
9:40And I think ultimately, camera radar or camera only solutions will be able to provide very intelligent level of autonomous driving as well. How many cars do you have on the road right now? And how long? And have you been taking rides or doing rides? We've been developing with our fleet in London for the past seven years. We recently just expanded to the US and I keep an eye out for what's coming next. The really cool thing was I was out a couple of weeks ago. We had maybe a couple of weeks of experience driving in the US. In the UK, we, of course, learn highway urban driving. But in the UK, we don't do things like four-way stop signs.
10:15There's no ability to turn right at a red light. And of course, we drive on the left side of the road. Are you looking for an unbeatable deal on senior talent? Well, if so, you need to look outside of your borders. According to G2, Cloud Devs is the best place to hire top LatAm talent. That's Latin America, a market with millions of developers. Cloud Devs is the largest pool of Latin American talent with over 10 ,000 senior engineers who are rigorously vetted for communication and problem solving skills. And now, LatHire by Cloud Devs can even fill non-technical roles. Very interesting, from accounting to graphic design with elite LatAm talent.
10:55Giants like Coinbase are choosing CloudDevs because its talent is matched with your time zone. And it's up to 80 % cheaper than a local hire with the same Silicon Valley standards. So here's your call to action. Because they're such big fans of the show, CloudDevs is offering Twist listeners an exclusive pay-what's-fair deal. Instead of their usual fee, only pay what you feel the talent is worth for a limited time only and exclusively for our listeners. Just go to clouddevs.com slash twist to pay what's fair for your next five-star hire. And what was so cool to see is after a couple of weeks of driving experience in the south of San Francisco Bay, I came out, we took the car up to San Francisco.
11:35We'd never been there before. There's no HD map, no prior training from San Francisco, and we turned the system on. And what was amazing is we saw it drive effortlessly with the urban driving experience of London, the American culture of South San Francisco Bay. And in San Francisco, we saw our car do right turn red, go for four-way stop signs, and of course, drive on the right side of the road. I mean, this is an amazing example of generalization because it's showing the AI take different concepts and apply them in new ways to scenarios it hasn't been to before. I think this is the thing that will unlock bringing autonomy to the world.
12:10Okay. So let's just be rude here. The way you describe the system that you've built sounds awesome. It is generally applicable to environments that it has learned from before. You can take it at other places, don't need HD maps, sensor agnostic. Has Waymo been really, really aggressively barking up the wrong tree? Because I've been blown away with Waymo's ability to expand paid rides across the US, Alex. But it sounds like you're going to surpass them. So are they just making mistakes? I mean, I think there's a lot to respect for the experience that Waymo's put together. Every time I ride in it, it is a remarkable product experience to be able to go driverless.
12:50I think what I'd paint the picture is a different approach that has an opportunity to bring this technology to scale, which is getting this deployed through driver assistance. The advantages this brings is you can get global scale integration into vehicles. And as I mentioned, these vehicles have the right equipment on them today to be able to run this level of autonomy. And this is at a scale of millions of vehicles around the world. And this is through driver assistance that could be a hands-off, eyes-on solution or hands-off, eyes-off L2 or L3. I think this is going to get to scale faster, but more importantly, bring more diverse data that should enable an AI solution to be able to actually get to an L4, the future that I think we've been talking about for some time.
13:33The key thing, though, is what is going to bring this to a safe and economically viable solution? And I'd really challenge autonomy strategies on, is it going to be economically viable? And I think this path will lead us there. Let's talk about economic viability. The cars by Waymo are 150K, 100K people are claiming that's the approximate cost range. I'm sure you have some competitive intelligence. Is it in that same ballpark in your estimation or your guesstimation? I'm going to be bold and say the cost is zero because we just work with the equipment that's already in some consumer vehicles today.
14:08No, no, I'm saying what do you think Waymo's cars cost right now? Oh, yeah. I'll let you speculate on that one, but I think you're in the right way. Would you guess 100, 150K is what people say most often? So you think that's probably accurate given what you know about sensors and the cost of the car itself, a Jaguar? I think for a robo-taxi that's built on LiDAR with a ton of on-ball compute, that might be a reasonable assumption, particularly when you're at low volume, thousands, less than 10 ,000 vehicles. And so they are the leader, most number of rides, but a high cost. Elon claims he's going to make these cars for 30K.
14:44That seems reasonable. Does that seem reasonable to you? that these cars could be made for 30k-ish eventually, eventually being next couple of years. The vision that I think we're heading towards is that every single vehicle, if you're producing a vehicle that's not capable of hands-off, eyes-off driving, point-to-point, where you can jump in your car, tell it where you want to go, maybe give it the style or the type of driving you'd like it to do, and then just sit back, read a book. Now, initially, maybe there are a few scenarios where it pulls over and asks you to take it forward through an intersection or something like that.
15:17But over time, these data-driven systems should just get better and better until it's reliably doing all of the drive. So a$30 ,000 car should have it in the next two, three years. And the more expensive cars already have it, those sensor packages and compute. That's right. They need the AI, but they have the hardware. And I think that's going to go mass market because really you're talking about a$2 ,000 bill of materials. It's a couple of tops computer that might be$500 or less, surround cameras, surround radar, maybe a redundant, a second computer, a redundant computer, that package, that's$2 ,000 or less.
15:55Is your plan to be an OEM to all these different car makers who are struggling to get this technology in and trying to figure out what their future is? Or is your model to go head-to-head with Robotaxi from Tesla and head-to-head with Waymo and just compete directly? Or do you see yourself as a provider of cars that have been adopted that have the technology in them and then provide those to the uber lyft doordash networks what is your strategy yeah we want to build the most intelligent safe and trusted ai model and i think to do that you're going to need scale um so we want to work with the leading fleets and manufacturers around the world i guess imagine uh different manufacturers will have different sensor configurations different compute the nice thing about the foundation model that we're building is we can distill it down into different variants.
16:41It's very flexible in that manner. But I'd love to see our AI power L2 to L5 driving. So whether it's driver assistance or some safety features through to hands-off, eyes-off driving, through to growing up into driverless as well with this commercial or consumer vehicles. The model that we want to run is seeing AI deployed in as diverse applications as possible and to use that experience to make it safe. You see yourself in partnership with car manufacturers and you see yourself in partnership with fleets and taxi services like Uber and Lyft, correct? Yeah, we've integrated into cars, into vans.
17:20We, of course, do we drive every day. We've also done some grocery delivery trials. I think the more diverse data you get is just going to make the AI safer. And the key thing is this AI needs to be adaptable to the different platforms that other manufacturers and fleets are building. When can I experience it? When will it be out in a test fleet that I can access here in the States? Or will it show up first in the Toyota website when I can click a button that says add wave AV 2.0 self-driving technology to this order? That'll be the first time the public can experience the product is, as you say, just part of a consumer vehicle you can buy.
17:55Give me a shout. We can go for a ride in the Bay Area or come to London. We can go for a drive. As for timelines, when this tech's coming to market, I mean, you know how much the self-driving industry has been hyped. I want to be quite careful not publicly making a claim like that, but it's coming soon. You know, the hardware's there. We've got the clear opportunity regulations coming together. We're working as hard as we can to get this AI shipped. It's going to be awesome. How do you see the market, the chessboard playing out? Do you think it's going to be Waymo, Uber, and yourself, and Lyft versus Tesla?
18:28Do you think Tesla is going to provide this to other manufacturers? Do you think, you know, other manufacturers like, say, a Toyota or something will want to run their robo fleets? I mean, this seems like a game of thrones right now in terms of the different approaches to winning. Uber itself has, I think, nine or 10 autonomy partners, and they put money into your company. So obviously, they believe they're going to be the aggregator, and they'll work with many partners. I think Tesla's made it clear that they're not going to work with the aggregators and they want to be the aggregator and provide this.
19:03So if we're sitting here in five or 10 years, what are some likely scenarios for consumers? Yeah, I love this game of 4D chess. And it's such a privilege after a pretty long deep tech journey to get to where we are. But I think there's a lot of analogies you could draw on. Like, look, you can think about the cognitive AI, the language model space. You could think about iPhones and Androids. I think in general, what I'd point out to is a couple of things. The first is it's really important, I think, you work on the hardest thing first. Otherwise, when it comes to scaling this kind of technology, you're at risk of hitting some glass ceilings.
19:40And secondly is when it comes to adopting automation or robotics, I think time and time again we've learned is that if you require large infrastructure change or support, it's going to be much harder to roll out these systems compared to if they work seamlessly with how society works in an existing way. Founders, do you want to sell to bigger customers? I know you do. You got to get that ACV trending up and you want to push your churn down, right? Sounds good. But to sell to those big buyers, you need to clear all of these compliance checks. You know that. That means you got to have things like SOC 2 sorted out.
20:16What's SOC 2? It's a standard and ensures that companies keep their customer data safe. And if you aren't SOC 2 compliant, you can kiss those big deals goodbye. You're not going to land the lighthouse customers. You're not going to be able to operate at the highest end of the market, but Vanta makes it really easy for you to get and renew your SOC 2 compliance. On average, Vanta customers are compliant in just two to four weeks. It can take months without Vanta, and they automate compliance for GDPR, HIPAA, and more. So You can sell it to bigger customers in whatever markup your startup is going after.
20:49Vanta is going to save you hundreds of hours of work and up to 85 % on compliance costs. Stop slowing your sales team down and use Vanta. Get$1 ,000 off at vanta.com slash twist. That's vanta.com slash twist for$1 ,000 off your SOC 2. So I fundamentally believe that autonomy of scale is going to be driven by a system that's trusted, that can drive in busy urban environments and merge with traffic, interact and all of that kind of intelligent behavior that will come from an AI system. And then, of course, work with the kind of hardware requirements and lack of an HD map that we've been talking about.
21:24So I'm bullish on this approach. It was great to see Tesla move that way in the last couple of years. I think there's a lot of space to run. What we want to do is enable, if you think about the 90 million vehicles that are produced each year, Tesla might be producing a couple of million of those. The rest of them, we would love to enable those. Which year, I think, is the number, yeah, Alec? Yeah. So they're about 2 % of the market, maybe more, yeah. Yeah, exactly. What about the other 98 %? I mean, unfortunately, it looks like we're going to see more segregation between China and the US, China and the West, let's say.
21:55But for all of those vehicles being produced in the West, we would love to let those fleets and manufacturers gain access to the incredible benefits of autonomy. What will the business model be? You'll just charge the consumer$49 a month for it, or it'll be abstracted into the cost cost of the vehicle how do you see your business eventually with these as an oem i guess to these car producers how do you see your business evolving what's the model would you give them a global license and say hey up to a million vehicles can have this for 10 million a year give us 10 per vehicle produced per month how do you see your business evolve as with with anything i mean i can i can you know give a vision today but this is going to evolve as we get going i think ultimately robotics is an exchange of value for time.
22:44And so I think long-term, a subscription of an autonomy service that gives you time back or frees up your time is where we should land. It incentivizes parties in the right way to improve the system over time. But what we were saying about getting things in without causing disruption, right now, people are used to in the automotive space buying with an upfront piece price or fee. And so I think that's maybe where the industry starts, particularly at L2. But when you get to L3, when it's a true exchange of value for time. Yeah, I think that's where we'll land some kind of subscription model with the consumer.
23:16And that will be shared between the fleet or the manufacturer and of course ourselves providing the AI that makes that possible. I'd pay so much for that. I mean, I would pay Jason 500 bucks a month for a fully self-driving car, I think. Just straight up. 6 ,000 a year plus the cost of your car plus insurance, but your insurance might go down to a fraction of what it is if it is running this kind of software. I mean, if you could recapture and actually do your email or actually do a podcast from the road, we could record this from the road, and you think about that amount of time, sure, and you might pay$5 an hour for it.
23:52And if you were to drive 10 hours a week using FSD, that's$200 a month, which I think is kind of where Elon wound up on Tesla, right? it's$99 a month or$49 a month. I can't remember because I just buy it for 10 grand when I buy a new vehicle. I think it was five or 10 grand. So you just buy it one time, but I think they've been doing a subscription. Yes, Alex? Yeah. And take those numbers and multiply them by some significant portion of those 90 million cars produced each year. Scale really matters here, not just producing autonomy for an affluent area like the Bay Area, but getting to scale, getting this out everywhere.
24:26It's an enormous opportunity. And I'd argue that's just the tip of the iceberg with embodied AI. When you start to think about what's possible at taking this beyond automotive to other kinds of robotics, this is going to be an enormous market. All right, listen, this is incredible. Congratulations on your early success. It's great that we have this capitalistic environment, Alex, where y 'all are in a dog fight to save human lives and to recapture all this wasted time and create a surplus, really, for everybody. So we wish you great success on this and great competition, ultimately benefits the consumers and society.
Read the full transcript
25:01So, you know, I'm really excited that you're in the fight. And I'm excited to see if I order a Corvette, if I can order Wave in it. I really am coveting this new CA Corvette, Alex. I can't, I'm a functional, I'm a functional idiot when it comes to driving now, because I've been using my Tesla FSD since they incepted it. It was called autopilot. And the idea of trying to stay exactly in the road or doing the, you know, adaptive cruise control, it's just so much better and so perfect now. I get car sick if I'm driving and other people in the car are going to get car sick. When you compare it to how smooth, you know, these systems are, they're getting really smooth.
25:44They do seem to be jittery, though, on certain interactions like a traffic circle, a left turn. They seem to jitter a little bit too much. They're not decisive enough. As we wrap here, is there a solution to that lack of decisiveness we see in these systems? Yeah, well, you know how I mentioned working on the hardest thing first? I mean, starting in London, it forced us to tackle that immediately because you leave our office and immediately you're in roundabouts, lots of merging scenarios. You've got jaywalkers everywhere. And if you're jerky, it's going to be a very, very uncomfortable ride. I mean, the key solution is just going to a self-supervised large-scale system that can learn emergent behavior that's like if you think about if you have to hand code all of those factors that require you to behave of things that might cut in risks and other factors it's it's just going to cause frequent slowing down emergency stopping whereas letting the system watch those kind of dynamic scenes and learn emergent behavior that our car pulls out and nudges into traffic pushes it way through crowds and also courteously lets others come in in front of us where appropriate that kind of stuff you see everywhere in London.
26:51How do you I mean let's face When humans drive, they cut corners and they break rules consistently. We all know that. We all know that people roll through stop signs. We all know people, you know, yellow means go a little faster when it in fact means stop. So how do you balance what the training data is going to learn from humans, which is to on the margins, break the rules or to bend the rules, let's say, let's say bend the rules versus what the law says, which is come to a complete stop, nudge up to the intersection. I mean, there must be some balance here. And I wonder if it requires going to regulators and saying, hey, this is not how humans drive.
27:32This is not how they take a traffic circle, you know, the by the books method. I think it's such an important point, because if you think about, say, cognitive AI, these large language models, it's a bit of a wild west around some of these safety questions and rules. But the advantages that we have in embodied AI is there is a pretty clear rule set and I think you need to be able to separate out the safety rules and then within what is like a safe envelope to make just driving decisions, there is a large design space of behaviors that you can have there. And so what I think we're motivated to solve in self-driving and where I think we will quite possibly see the solution to AI safety is a system that can provably stay within the bounds of those rules, but within those bounds provide a sense of collaboration and customization that, you know, the passenger or an own occupant can help prompt the AI to drive in a certain style.
28:24But those rules can be fairly well set. And then that driving culture that I was describing, it's very different from London and the US and AI has been able to learn how that does differ and drive naturally. If you don't do that, you see a road rage all around you, people, you know, pissed off if you're not merging in the right way or, you know, accepting the right driving culture in new york you don't give an inch in la you kind of you know shake your fist at each other and you know but you kind of let people merge on the margins and then in texas people are like no no you go no you go go ahead go ahead it's very interesting even in the united states how different it is the three major cities four major cities i've lived in are distinctly different and it's largely because in texas people have guns in their cars and everybody's nice to each other because you don't want to get in a road trade instance in texas i understand because it's going to go a certain direction everybody's very and they're very um polite in new york nobody's got guns everybody just kind of yells and screams at each other and that's as far as these interactions generally go so are we going to be in a situation where eventually the ai models drive like new yorkers or texans are you gonna be like i'm gonna drive like a new yorker in texas and it gives you a warning hey maybe you need to be a little more polite kid from Brooklyn.
29:40Never turn on the Boston driving mode, Jason, because everyone - Turn on Boston for sure. I mean, people from Boston are the worst. The worst. Terrible. Well, we're building some fun demos where you could drive for a couple of minutes yourself and then ask the car to drive in your style, or you could prompt it and ask to drive in a certain way. The key thing is it just knows the bounds of what's safe and within that, it should be fully customizable. If you travel a lot, you got to deal with renting cars. It's just a fact. It can be slow, confusing, and most of the time, the experience is stuck in the past.
30:11It takes an hour to rent a car, two hours to rent a car. And I recently became aware of a really cool startup called Kite, K-Y-T-E. With Kite, instead of going to a gingy desk tucked into the bowels of some airport parking garage, a car is delivered right to you. That means you can get a new professionally maintained car brought to your door without dealing with the lines. And I use this. Many of you know, I moved to Texas. I'm in Austin. And I was in the Bay Area. I was going to be doing a lot of meetings. I was going to be traveling around. I needed a car. All my cars are in Austin now. So I popped out the Kite app.
30:43Bing, bing, bing. I had my car waiting for me at SFO. And I avoid waiting around. And I had my own car. So I could go to all these disparate meetings I had across the Bay Area. You can manage your entire trip in Kite's app, meaning you can avoid waiting around while someone else enters your data into a computer by hand, one slow keystroke at a time. It's like that scene from the movie with the sloth at the DMV. Anyway, Kite doesn't do extra fees. It operates in large cities around the United States, and I've used it in both LA and San Francisco and love it. Here's your call to action. Download the Kite app or book online at kyte.com.
31:21That's kyte.com. Go ahead and download the app now so you have it ready to go. Use the code Jason at checkout. You get 10 % off your first rental which could be significant don't forget to use the code jason download the app kyte.com right now yeah it's going to be interesting to say uh you know i'm i want to be zippy uh they do have like i think in to to tesla's innovation they do have a sort of more aggressive mode in their self-driving preferences where you can change lanes more often or not at all which the whole point of self-driving i like is not changing lanes i like the idea of not changing lanes because changing lanes means i got to pay more attention i got to be more vigilant you know as opposed to alex and alex alex squared but you could just you know kind of chill more if you're in the right hand lane and it's just or in the middle lane you're just cruising at you know whatever five miles above the speed limit yeah where do you guys want to go go autonomous driving um when we had uh bill gates over he asked to go go for some fish and chips here in london ah we could do a podcast in a car totally we'll do it next time we're there uh great job and uh oh yeah there it is bill gates uh test driving is he did he invest or is he just a fan has he invested yet no microsoft is a great partner of ours but um there was there was a fan he's uh he's been a great supporter of the company well it's fantastic to see so many players out there competing uh to a great competition makes for great products so we wish you the best and we'll check in with you in six months and hopefully you'll have some cars on the road in the u.s available uh in the uber network or lyft or doordac hopefully you'll be delivering some burrito great to uh catch up with alex and we'll talk to you soon cheers jason cheers alex bye oh wow it's great to see alex uh how much progress we're making here huh like everybody is so uh dialed in so what's interesting about that entire interview is that it reminds me of a company called deep gram and they were doing neural networks you know way before the open AI boom.
33:19And if I recall correctly, I was talking to the founder and he said, look, what we did was we just took all of language and then we had a computer just learn how to talk or how to translate. And I was like, well, that's pretty cool. And this to me, with my lack of deep technical knowledge about AI does feel like a similar approach. And I'm very excited by it. I just, I want someone to make this work in Providence. I don't care if it's Tesla or Wave or Waymo. I just want someone to bring it to where I live. That's what I want. Yeah, for sure. It'll be great to have this on the road and more options available.
33:51It's nice to see some competition in the space and it's not just Waymo and Tesla that you'll have upstarts. And I love the idea of people providing this technology to other platforms, Alex. That's actually going to be one of the big wins is that you're not going to be able to buy a car that doesn't have this in it and if there are models uh multiple in the models pursuing this you know you'll be able to look at their track records and compare them in the same way you know when i buy a car i think about my daughters and my wife and my dog my bulldogs and yeah what's going to be the safest so i'm like model x suburban model y i want the safest cars for them to be in and so i think what's going to happen is people are going to start looking at the safety records how many miles did this drive how many interventions did it have how many accidents did it have how many fatalities god forbid did they have and um that's the that's the way i'm going to judge these oh i i dead on and also i just think by the time that you know my thought is when my kids are 16 what will be the choice and i think by then is going to be so clear as to feel irresponsible to let them drive let alone a stick shift a comment from the audience sebastian asprella says interesting no guns for example in holland and everyone is polite and courteous between drivers so jason there's disputes about your gun your gun uh driver philosophy what i was told maybe somebody was being cheeky with me but they kind of gave me the you know texas discussion like people don't do home invasions people don't get in road rage incidents because people generally speaking have a firearm on them and so like the idea of going into a restaurant and robbing a restaurant at gunpoint there's going to be more guns in the restaurant than on the perps coming in to rob the restaurant in all likelihood yeah yeah yeah i mean it's like the okay corral basically but you you don't know it because you you would you don't see them people just have guns on them and uh you know i see signs it's very weird you know moving to texas where the signs i would see in new york were if you have a gun you go to jail for a year minimum like and there's no discussion that's what they try to you know really explain to new yorkers and then in texas it's kind of like in our establishment we don't allow firearms please do not bring keep your firearm in your car or whatever please don't bring your it's almost like they're asking you nicely we prefer you don't have a firearm in this restaurant please just you know but it's not like there's a metal detector at the door no so i'm kind of like why is that sign even there that sign kind of makes me believe that people are going to bring their guns in anyway.
36:28I wonder if it's a liability thing. So you have mentioned several times on the show that, uh, you had hoped that the twist 500 would get filled out a little bit faster. We've been juggling a lot of different stuff. Yeah. Babies. In fact, the babies, I mean, you know, the moving the company to Austin, adding shows, we've been doing a lot, a lot of fun, but Maddie and I, who is on the research team and also the twist team, we're going to get to 250 by the end of the year. Oh, love it. Great. So that is our, that's our pledge to you. So we will get that ball re-rolling. So expect more interviews, guys.
36:59If you like twist500, twist500.com. Check it out. But yes, Jason, MicroStrategy. I've been in the documents today. I've been digging through. I can answer your question. This is what I like with our pick and roll here, our two-man game. I have been mixing it up on Twitter and hearing a lot of people saying, this is a Ponzi scheme. And the way they're describing Mr. MSTR, MicroStrategy, which is run by Michael Saylor, who is an effervescent, enthusiastic entrepreneur. This company has existed since the late 90s. He got in a bunch of trouble with the SEC previously. It's been up and down. The software business, as we've talked about, is de minimis and declining, but the Bitcoin business is vibrant and being invested in massively.
37:40If you bought shares in Mr. At the Peak last week, I think it was Thursday, it was trading at an all-time high of$540 a share. When I woke up this morning and I just glanced at it, it was maybe 380 or 390 or something. It was 370, 130, as we speak. Oh, okay. So it's 370. So you've lost, I don't know if you made this trade, you've lost$150 a share, maybe$100 a share or something, depending on when you got in. So this clearly was overheated. And I am not the only one who is saying, is there something here that the markets should be concerned about? Now, one of the great things about markets, Alex, is they are self-correcting.
38:22If there is an opportunity to short a company, there are a group of people who like to do that. If there is an asymmetrical outcome here where people believe that you should pay two and a half times for micro strategy and then the value of their Bitcoin because Michael Saylor's got some financial wizardry at work with these convertible notes slash bonds, you know, financial instruments where he's going to acquire more and he's going to corner the market on Bitcoin because he now is the number one holder in Bitcoin. after satoshi and above the united states government which has been uh seizing bitcoins that are used illegally and trump says he'll never sell them so there's two aspects of this that i just wanted to put on the table right now one is i am long bitcoin i have always been long bitcoin i bought a bunch under 100 my wife bought a bunch at 100 mine got hacked back in the day when you um had marketplaces for these hers did not and they've we've made a lot of money on Bitcoin.
39:17So I love Bitcoin. I think it's real. The fact that governments have abandoned it and the fact that it hasn't been hacked is incredible to me. And I believe it is here to stay. Micro strategies now, the second piece of this is people like Vinny Lingham and other folks who are in the Bitcoin community are very concerned at what Michael Saylor is doing. And they think he's going to damage the Bitcoin ecosystem and the, dare I say, brand and the trust in bitcoin because of these um volatile in their minds uh acquisition strategies he has but what in the documents what have you discovered and you can of course comment on what i'm saying i don't have any beef with michael saylor i don't have a horse in this race even though we own bitcoin we're never selling it we think it's a great part of distributed um you know diverse portfolio so we like having it it's not personal with michael saylor less people think i have it in for him or i'm jealous of him i'm happy for any entrepreneur to be successful obviously i've been successful myself in my career.
40:13Absolutely. I just am always concerned when I see something disconnect from reality of markets. And Alex is an expert on markets as well. And we like to talk about it here. It's not personal. I'm not blocking him from being on all in. If the other guys want to have him on all in, I'm happy to have him there. It's not my decision. It's a group decision. So anyway, there's everything you can say. I know he's been asking to come on all in, you know, which was number seven in the rankings last week. Yeah. So I just want to be careful also platforming somebody and getting more of the audience to buy shares in something when I think there are red flags everywhere and other people are saying red flag, red flag, red flag.
40:49I'll stop there. One of the reasons why I think the story is worth coming back to today is the religious intensity of people's complaints about you asking questions about the company. Because to me, if I sat down and said, Zoom, the software that we use to record the show quite often, the lovely enterprise software company. If I was like, red flags, everybody, I'm really worried about this. Everyone would go like, well, okay, fair enough. You can think that. But when it comes to anything that touches Bitcoin, you end up dealing with these religious fanatics. And I've been trying to find a comment from our live chats.
41:21We're doing this live today. Someone was like, oh, the guy who thinks he's an expert about micro strategies is now expert on real estate. And I'm like, you came into our chat to complain about Jason's tweets to that degree. What are you doing? I mean, I own a little bit of real estate and I was on the board of Blockable for many years and invested millions of dollars. And so I do have a slight education on manufacturing of homes and mobile homes. And I've interviewed a bunch of people on it. I don't claim to be an expert on either Bitcoin micro strategy or home construction, but I do know how to ask a good question or two.
41:54And that's what we're here for. By the way, you should hope that people are constantly asking questions about companies that report their numbers publicly because that is the immune system of the market. The market will self-correct over time, but we can shorten those loops by asking a lot of questions. So, Jason, you wanted to know, what are the debt terms? What is this convertible debt that this company is putting out? So, I went into the documents. These are the$3 billion worth of notes that are due in 2029. They are convertible debt. And you asked, are they senior? They are. They are senior unsecured obligations.
42:27They do not bear any regular interest and the principal does not agree. Okay, why are they valuable? The notes are convertible into class A common stock at a ratio of about 1.5 shares per$1 ,000 of principal in the notes. So that means that they will convert to a stock at about a$672 per share rate, which is a 55 % premium at the time of issue. Which is almost double now because stocks come down. Stock has come down, yes. But usually in a convertible, you can also get your money back with a little bit of interest. And it depends on who gets to choose that. Sometimes the company would get to choose that.
43:10Sometimes, and this is where the devil's in the detail, the people loaning the money would get to choose that. So that's where, and I don't know if they have to disclose that or if they have disclosed it yet, but this is where it could get very interesting. because the$3 billion, those people could just say, hey, I'll take my$3 billion back plus 8 % a year, some interest on it. That could be buried in the documents we don't know about. If it is, they're going to have a major in five years. It could be$3.5 billion or whatever it is that has to go back to those individuals in cash. That cash has to come from somewhere.
43:46so either they have cash or they sell shares in the company or they shell the underlying bitcoin if bitcoin were to be lower this thing could as opposed to going up to 540 dollars and 100 almost 100 000 of bitcoin it could go the other way i think and that's one of the problems with owning a large percentage being the number two holder in bitcoin if they have to liquidate it could have a massive price impact so i can answer that to some degree so first of all starting in uh june 1st of 2028 quote holders of the debt that microtrategie has sold have the right to require the company to repurchase for cash all or any portion of their notes so a year before they actually reach their maturity point the the people who loan the money can say we would like our cash back please thank you with interest or not with interest uh repurchase price equal to 100 of the principal plus any accrued and unpaid special interest.
44:44I tried to chase down the definition of special interest throughout the - That's in the document somewhere. So they must have defined what special interest is. I'm going to guess special interest is like plus one LIBOR or something or plus three LIBOR or something. Who knows? Because there's no underlying coupon rate, it doesn't seem to be connected to what we normally look for here, Jason. So I think basically they can get their cash back and the interest is relatively de minimis compared to the principal amount. But what that means is if the people who hold this convertible debt do not think that in 2029, when the notes mature, that they're not going to make their money that they were hoping to, they can just get their cash back.
45:20And so that's when this feels Ponzi-ish because Michael Saylor is essentially saying, look, here's a call option on our equity down the road in the form of a convertible note today. And if you want to make your money, great, but you can also make us give cash back. And if they need to repay, then they might need to liquidate some of their Bitcoin, leading to a cascade. Because if the Bitcoin value goes down because they sell it, then their share price will go down further. And then all their convertible debt could become essentially a thing that to be paying cash. So I hope that made some sense.
45:52I spent a lot of time today reading SEC filings. Well, I think it is important to understand the mechanics of this. I think the SEC is going to require them to share a lot of this, maybe more than they've already shared. and then consumers will become more hip to what's going on here and i think somebody um at a higher pay grade than us sure who works in accounting who's a cpa could literally build a model here they know how many bitcoins they have it's 200 000 or something i think uh maybe it's 300 000 whatever the number of bitcoin is yep and then there's a price at which and i don't know what their cash reserves are because he doesn't like to keep cash his whole concept is the treasury is in Bitcoin.
46:32Yes. So I don't know how much cash he has. And then you'd have to predict how much cash is he going to have there. And I think he's talking about doing this every year. So I wonder how much more of these converts he's going to do, because I think the concept was to do a convert every year or do bigger converts and buy even more Bitcoin. So now you have the criticism I've heard of this. Yes. Is he's going to have an incentive to do a bigger convertible. that convertible then is going to go buy more bitcoin clear out holders people have been long from holders who've wanted to move large positions so if you wanted to move a billion dollars in bitcoin or five billion in bitcoin like now you got a whale in the system who wants to buy it and they are a large portion of the buy side that would drive the price up price goes up stock goes up ability to do another offering goes up and maybe this can keep going for a long time or would the people who are providing this convertible debt say you know what interesting offering we want tighter terms we're going to need clawbacks we're going to need a 2x liquidation preference, we're going to need some more structure here.
47:48And maybe they'll put in there, if Bitcoin goes down below this number, you've got to liquidate and pay off 25 % of this. If Bitcoin hits this number, you got to liquidate it, pay off 25 % of it. So maybe the next note, depending on how Bitcoin goes, will be more structured and have more covenants, as they say in the business. In other words, things that if they get triggered would cause actions to occur, i.e. a default. Yes. There are a lot of default terms that exist, but they seem to be mostly around changing company control, which is a pretty standard thing, for example. And there's some anti-dilution preferences in there as well.
48:22The thing that I have not been able to understand and chase down and really get to the root of though, Jason, is why MicroStrategy trades at a multiple to the value of its underlying Bitcoin. Everyone agrees the software business at MicroStrategy is pretty much moot. And we all know the value of the Bitcoins they hold. And by the way, last time they told us it was 386 ,700 Bitcoin. Just chase that down for you. But why do they have this massive premium on the net asset value of their underlying Bitcoin? And I have not found any answer. I read your tweets. I read the responses. And people were mad at you for asking why and then just saying, do your own research, which didn't help at all.
49:01So have you found anything here? Here's the thing. When people tell you, put in the hours, do the research. and when michael saylor says i can't explain it in 300 characters i have to come on the all-in podcast to explain it or this week in startups to explain it i get a little nervous yeah because almost all the businesses and i've invested in 400 startups and you know i've been a journalist for you know over a decade covering them done 2 000 episodes of this podcast i've been around the block let's say uh in terms of assessing businesses anytime it's too difficult to understand in my experience yes i'm not saying this is micro strategy but when people tell me do your own research have fun being poor you know it's too complex for you to understand the last person who told me it was too complex for me to understand was do kwan he was picked up in montenegro i think do kwan was um the stable coin that was the algorithmic stable coin uh well help me out here jason what was it called do kwan was doing terror he was the CEO of yes Yeah, I think he's in jail.
50:02We can link in the show notes to his episode here. He tried to explain to me, I gave him two or three times to explain to me how this all worked, and he was arrested. I'm not saying Michael Seller's going to get arrested. What I will say is there is a pattern. yes if you were to ask i don't know adam newman to explain how we work was worth i think he said hey community ebita he came up with his own term community even yeah b2c yield i think is a term that michael salary used this morning btc yield that i didn't know that there was a yield associated with bitcoin i don't understand what he means by that term like is it it's not yield so uh community adjusted ebita for folks who might forgot was the famous metric that essentially we work invented because adjusted EBITDA was too strict to make its numbers look good.
50:51So they had to make it - When adjusted EBITDA is too strict, you got a problem. You got a big old problem. Now - Red flag. BTC yield is something that I flagged and I said it was notable in our notes on Monday, which was my sarcastic way of saying WTF. So BTC yield is a term that does not reference yield. What it does is draw a ratio, as far as I understand, between the total number of Bitcoin that MicroStrategy owns and each block of 1 ,000 shares outstanding. And so it's essentially how many Bitcoin per thousand shares of MicroStrategy that are out there. That's not yield. That's a ratio. It's the ratio of how much Bitcoin you get per share.
51:29Whenever people make up new terms for revenue or expenses, any of this stuff, it's going to be a pink flag or a red flag. Pink flag is what I wave on the way to a red flag. Red flag means stop, don't participate in this. the pink flag is can we ask some questions if you're a micro strategy holder my best advice to you if it was a family member said hey i put a hundred thousand into this i double my money my best advice to a family member and this is not financial advice for anybody else this will be for my brother sure my mom i'd say sell it you doubled your money sell it and then go buy bitcoin directly if you love bitcoin because now you're going to get four bitcoin for every one that you bought last month if you in fact doubled your money and it's you know this whole thing not your keys not your coins you know you probably want to own it yourself have your own coins or maybe be in something that's super trusted like coinbase or robin hood and i'm i'm long-term sure holding robin hood but you know here we are another great episode i'll have michael saylor here on this week in startups if the other guys want to have him on all in happy to have him on he can explain it it's not personal with michael saylor just so we're clear i'd love to have him on the show it'd be a great conversation.
52:38But just to be clear, we couldn't figure out the root cause of why they traded such a premium to the NAV. No one's managed to explain it to us. No financial coverage has explained it to us. I've yet to read a single good explanation of why other than stonks go up. And that's not a good long-term investing position in my view, Jason. But yes, we got to wrap. When are we back? What's our return from Thanksgiving plan? I think we're Monday. We're Monday, Monday, Monday. So we'll see everybody on Monday and talk to you soon. Bye. Thank you.
From the publisher
Todays show:
Jason and Alex welcomed Alex Kendall to the show. He's the founder and CEO of Wayve, an AI company working on self-driving. You might recall that Wayve raised $1 billion earlier this year, but TWIST wanted to know how the company intends to commercialize -- and how soon. From there, it was back to the bitcoin mines. Figuratively, as the hosts dug into MicroStrategies' bitcoin buying bet. Precisely why it is trading at such a NAV premium remains occluded to the show, but we did chase down its debt terms. Next week: More TWiST500!
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Timestamps:
(0:00) Jason and Alex kick off the show
(2:32) Introduction of guest Alex Kendall Co-Founder & CEO of Wayve (3:00) Alex Kendall on Wayve's autonomous driving approach and AI technology (8:29) LiDAR vs. camera-first solutions debate
(10:19) Cloud Devs - Visit https://www.clouddevs.com/twist for an unbeatable offer on hiring elite Latam talent today.
(12:23) Economic viability and strategy of autonomous vehicles (17:49) Timeline for Wave's technology deployment and future market scenarios
(19:58) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist
(22:34) Autonomy subscription models and AI driving behavior challenges
(30:01) Kyte - Download the Kyte app today and use code JASON to save 10% on your first rental.
(33:00) AI driving culture and Twist 500 update (37:05) MicroStrategy's Bitcoin strategy and market concerns (41:33) Bitcoin convertible debt analysis (49:03) Deciphering complex business models and historical examples (51:24) Evaluating new financial terms and investor advice (52:29) Final thoughts and invitation to Michael Saylor
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Mentioned on the show:
Check out Wayve: https://wayve.ai/ Check out MicroStrategy: https://www.microstrategy.com/ TWiST Episode #1251 with Do Kwon: https://www.youtube.com/watch?v=PLZL8iPKsHQ
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Follow Alex Kendall:
LinkedIn: https://www.linkedin.com/in/alexgkendall/
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Follow Alex:
LinkedIn: https://www.linkedin.com/in/alexwilhelm
Follow Jason:
LinkedIn: https://www.linkedin.com/in/jasoncalacanis
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Thank you to our partners:
(10:19) Cloud Devs - Visit https://www.clouddevs.com/twist for an unbeatable offer on hiring elite Latam talent today.
(19:58) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist
(30:01) Kyte - Download the Kyte app today and use code JASON to save 10% on your first rental.
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Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland
Check out Jason’s suite of newsletters: https://substack.com/@calacanis
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