TBPN - Weekly Recap: Figma’s IPO, Ramp Reaches $22.5B, Gwyneth Paltrow Saves Astronomer, Top AI Researchers Ranked

Episode Date: August 3, 2025

(00:00) - Intro (00:03) - Gwyneth Paltrow Saves Astronomer (19:25) - The Metis List of Top AI Researchers (24:16) - Eric Glyman (Ramp) (50:31) - Figma IPO (01:03:58) - Andrew Reed (Sequo...ia Capital) (01:18:43) - Timeline Reactions To Figma IPO TBPN.com is made possible by: Ramp - https://ramp.comFigma - https://figma.comVanta - https://vanta.comLinear - https://linear.appEight Sleep - https://eightsleep.com/tbpnWander - https://wander.com/tbpnPublic - https://public.comAdQuick - https://adquick.comBezel - https://getbezel.com Numeral - https://www.numeralhq.comPolymarket - https://polymarket.comAttio - https://attio.com/tbpnFin - https://fin.ai/tbpnGraphite - https://graphite.devRestream - https://restream.ioFollow TBPN: https://TBPN.comhttps://x.com/tbpnhttps://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235https://www.youtube.com/@TBPNLive

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Starting point is 00:00:00 You're watching TVPN. Astronomer is back. Astronomer had Ramp on the website. Apparently, Ramp's a happy customer. Ramp, never lost faith. Never lost faith. Yeah. So Astronomer, if you weren't following,
Starting point is 00:00:12 if you were living under Iraq, Apache Airflow as a service, managed enterprise SaaS platform on top of Apache Airflow for data analytics, streaming data, that type of stuff. And they had an absolutely chaotic week, last week with their CEO being caught at a cold place. concert was that last week or the week before I think it was the week before the
Starting point is 00:00:33 week before but do been the CEO was caught having an affair at a cold play concert Chris Martin called him out on stage and said oh those people look like they're having a fair was it was did he actually say that live did say that on the video no way I never heard the sound different kiss cams and are different just cameras and they spot the CEO of astronomer hugging the head of HR yep can't even hug your employees anymore apparently can't even give your chief people officer a hug in this country anymore. And once they see themselves on the screen at the show, they recoil in horror and turn around.
Starting point is 00:01:09 And the other person in HR who's sitting next to them is like, oh my God, what's going happened? Well, that's what I didn't understand. Was that actually? Apparently. People went and dug it up and found out that she works there too. I thought that was people just saying, hey, this person looks like this person. It seems wild that the HR department was hitting the concert with the CEO.
Starting point is 00:01:30 It was like, generally. It was an open secret. I don't know. Yeah. Yeah. Anyway, it did not, it was not good for astronomer. Yep.
Starting point is 00:01:36 We were discussing this. Lulu was saying the CEO's got to go because he's a hired gun, not a founder. And it just displays very bad character and it reflects poorly on the company. We were going to go back and forth on this as the, like, about the idea of like, okay, yeah, like the CEO did something bad in his personal life. But like, do you really want to find an alternative to your managed Apache Airflow service? Like it's kind of a hassle to rip that out. If you're happy with the product.
Starting point is 00:02:02 And to be clear, we said that the company would be fine. They did need a new CEO immediately. And the founder, I believe his name is Pete. Yep. stepped up within days. Yes. Pete to Joy. Oh, wait.
Starting point is 00:02:15 So founders back in the CEO. Back in the seat. Let's go. That's a real bulk case for Toronto. The soundboard for the Ashton Hall sound effect. I want to hear some good news. Astronomer is now founder mode, everybody. Astronomer is totally in founder.
Starting point is 00:02:29 They were already delivering the world's data. Yes. And now they're in founder mode. They're in founder mode. I think they're unsubable. I'm excited. Another billion dollars for Bain Capital. Let's hear it for Bain Capital.
Starting point is 00:02:39 They haven't got enough credit. And index. And index is it. Nice. I didn't know that. Anyway. So. And actually, I emailed briefly with Pete DeJoy.
Starting point is 00:02:48 Yeah. And he said he's a fan of the show. Amazing. We're hoping to get him on. We don't want to actually talk about any of this stuff. No, I have to talk about Apache Airflow. I'm so into Apache Airflow. now. I'm so ready. But anyways, so late Friday night, the astronomer
Starting point is 00:03:05 watched the video. Clearly they didn't want us to react to this on stream. So they put it after we after we logged off. Let's pull up the video. I want to watch the full thing. Thank you for your interest in astronomer. Hi, I'm Gwyneth Paltrow. I've been hired on a very temporary basis to speak on behalf of the 300 plus employees at Astronomer. Astronomer has gotten a lot of questions over the last few days. Series B, right? And they wanted me to answer the most common ones. Yes, Astronomer is the best place to run Apache Airflow, Unifying the experience
Starting point is 00:03:38 of running data, ML, and AI pipelines at scale. We've been thrilled so many people have a newfound interest in data workflow automation. As for the other questions we've received, yes, there is still room available at our Beyond Analytics event in September. We will now be returning to when we do this. How many? Game changing results is Chris Martin's ex-wife. Yes.
Starting point is 00:04:03 Thank you for your interest. Which makes the entire thing. It's very funny. It's not really like Chris, it's not like getting back at Chris Martin in any sort of weird way. It's just funny that it's like another voice from that universe. Yeah. So they remain close friends and co-parents.
Starting point is 00:04:20 Okay, okay, okay. In so many ways, like she's like the best spokesperson for this because, anyways, you know. Remarkable how quickly they shot. that you know they had to like yeah probably like a conference room near her office or like her house or something like that yeah it's a perfect response we don't need somebody from astronomer there at all six lines it's really ties into the story it made sense it wasn't just some random celebrity it had some yeah funny tie in yep yep and i think it was incredibly well done uh lulu broke it down
Starting point is 00:04:50 she said laughing at themselves was the right move because humor does four crucial things connects with a new audience even for people who don't care about a past sheet Airflow. Being in on the joke together forms a connection with astronomer. Diffuse tension by joining the ridicule. They're no longer its subject or its object. Get closure. They set it out loud. The joke is tapped. Everyone can move on. Signal a fresh start. The CEO and HR lady are gone. It's a new management team. And making light of this shows they're they've consciously uncoupled from the past. Great breakdown. Very well written. Lulu. The third point is so funny because there's a little bit about like, like nothing will kill a joke, like independent of all the crazy astronomer, Chris Martin, Coldplay thing, there's nothing that will kill a joke faster than a series D enterprise SaaS company making the joke. And so if they're making, if they're jumping in on the joke, it's like, well, we wanted to kill the joke.
Starting point is 00:05:46 We wanted the joke to stop. And so we jumped in. We're playing along and we got the last, literally the last laugh. Like if anyone tried to post something about astronomer's CEO cold play, all la, la, like, they would immediately be, everyone would be like, yeah, we've moved. on. The real question is, is the IPO windows open? Should they go public? Kind of meme stock? And actually have Gwyneth step in like kind of like chairman type role, you know, really expand the role, not just kind of crisis comms. They need a treasury.
Starting point is 00:06:14 They do. But they need something that that speaks to the, the history of the company. They need to buy some some funny, funny asset to put on the balance sheet. I was thinking about we've moved on from Bitcoin treasuries to like the further out risk curve ones. Well, there's all the Ethereum treasuries. GameStop treasury, which is hilarious. I think the next generation is just straight up lottery ticket treasury. Just scratchers. I thought you were going to say like they should put some like match group on the balance sheet.
Starting point is 00:06:48 They should. That would be good. That would be more like tied to this. And I think that makes sense for astronomer. Get a bunch of match group. Yeah. Get a bunch of match group stock on your balance sheet. By the way.
Starting point is 00:06:59 Or like Eventbrite maybe. Or who runs like the Coldplay concerts? It's like, didn't Taylor Swift like sue them? Ticket master. Get some ticket master stock on the balance sheet. Who knows? That would tie into the war a little bit. It really just a way to signal like the values of the company.
Starting point is 00:07:14 Exactly. Exactly. Some potential. Yeah. What was that company? There was that biotherapy company that was saying like we're fighting financial fraud by buying game stop. Yeah.
Starting point is 00:07:23 or something like that or financial inefficiencies. But yeah, get some scratchers. Market manipulation. Get some scratchers on the balance sheet for sure. Get some lottery tickets. Everyone's like, yeah, they have $50,000 in lottery tickets. But if it hits, this could be $500 million on the balance sheet. Yeah, it is such a, I think a year from now we'll look back and say, like,
Starting point is 00:07:47 they found a way to actually turn this into a win, right? Totally. Now some people, if, you know, this is maybe some of the best crisis comms work we've seen in, you know, this decade. For sure. But I think if you now have millions of people that like have, think your company is kind of like cool and funny. And they're aware of it. They're aware of it. And it would have cost them.
Starting point is 00:08:12 It would have cost them. I'm sure this Gwyneth video costs millions of dollars. I think it probably would have cost them to try to, to try to build that type of. brand recognition otherwise. Yeah. Like just, just traditionally would have cost multiples of that.
Starting point is 00:08:28 I only have one note on the video. I mean, Autism Capital here says you have to give credit where credit is due. This is 10 out of 10 PR recovery. I think it loses one point because it was hard posted and not restreamed. One live stream, 30 destinations, multi-stream and reach your audience wherever they are.
Starting point is 00:08:43 They should have restreamed it. Anyway. Fantastic comeback. Lulu says next move is for an astronomer competitor to hire Chris Martin to do a video on how their product is the best at helping you gain visibility in any environment and keep your private networking secure and somebody in the comments says the chain is going to end with Brad this thing I don't even know who astronomers competitors are don't know who
Starting point is 00:09:09 their competitors are but I don't know maybe they should that's why this is a win for astronomer it's a huge win for astronomer and yeah I mean also interesting because this kind of plays into what we were talking about with with Paul from browser base, this idea of like the Apache Airflow's open source, you would expect that managed airflow would be something that's, you know, totally in AWS's wheelhouse. And yet they were able to scale to a Series D company, 300 employees, like clearly doing well. And now they have this like breakout moment. And they still are probably facing fierce competition from the hyperscalers, but
Starting point is 00:09:44 and from the from the big cloud platforms. But they just don't. It's so, the timing of this is so insane. Bain led the series D. It was announced on May 1st. Let's go. So, love it. Just very recently here.
Starting point is 00:09:59 I mean, they've been putting up some incredible numbers. Let's get Min Romney on the show. Have him talk about it. Last fiscal year, astronomers saw 150% year-over-year-over-year AAR growth. World-class, 130% net revenue retention and 90% product utilization with customers. So, I mean, I think they're going to have a massive and, and, and, you know, to the year. Speaking of high NPS products,
Starting point is 00:10:21 let's tell you about figma.com. Think bigger, build faster. Figma helps design and development teams build great products together. You can get started for free at figma.com. And we will be in the great city of New York this week. Yeah. For the Figma IPO.
Starting point is 00:10:34 It will be. We'll be live from NICC, the New York Stock Exchange on Thursday. That's what the cool kids call it. NICC. NICC. I always just call it NYSC or like the New York Stock Exchange. But when you're saying it every other word,
Starting point is 00:10:46 because you're in that world, When you're big in that world. You're big in that world. You don't have time. When you're taking companies public like every other week. Exactly. Exactly. You got to use the slang with the cool kids use.
Starting point is 00:10:58 Okay. Bull or bear case for Figma, I go to Figma make and I tell it, build me a collaborative design tool. Don't make mistakes. Don't make mistakes. Recursive, the snake eating its tail. You use Figma to make Figma, then you don't need Figma anymore. Is that a bear case? What's going on here?
Starting point is 00:11:16 It'd be so powerful. You're basically still paying Figma to host. Oh, okay. Okay. So they get you to host it. Okay. That's how they get you locked in. You're paying.
Starting point is 00:11:26 You're paying one way or another. Yeah. I like that though. It's an existential, it's an existential risk for all these platforms that allow you to build software vibe code. That's why every SaaS company. First thing I want to vibe code is a vibe coding platform.
Starting point is 00:11:37 Well, yeah, that's why every SaaS company has to have a vibe coding product now. Yes. So you can vibe code the product itself. Yeah. Yes. The tautological. No, that is. I mean, so the question people have been saying like, okay, at some point in the future, you'll be able to one-shot products. Yep. And I would say I have a really strong conviction that in the next few years you'll be able to one-shot a design tool. Yep. Will you be able to one-shot a design tool for, that works in the enterprise, that work as like, when you think like, Figma has been like shipping features every single day. Yep.
Starting point is 00:12:16 for a decade now. Yep. And even if you knew exactly which features mattered and how they all worked together, it would be very difficult to create a one-to-one clone. And then also there's the network of if you hire a designer and you're like, hey. I need you to use my vibe-coded. They're like, can you just pay the 20 bucks a month? Yeah, yeah, yeah, yeah, for sure.
Starting point is 00:12:44 Yeah, and then, yeah, so the ecosystem is very, very important. And there's a whole app ecosystem. Exactly. It makes me, you know, it definitely makes me more bullish on companies that have these, like, developer app ecosystems. Yeah, yeah. I mean, Shopify is the same way. Yeah.
Starting point is 00:13:00 You can one, maybe you could one shot like an e-commerce storefront product, but can you, are you then going to one-shot the downstream? I mean, as soon as, as soon as LLMs were writing code, and we were talking about like AGI takeoff and super intelligence. I had this like running thought about, okay, so at a certain point, you can go to an LLM or a vibe coding platform and say like, build me an e-commerce website. And it will just say like, okay, setting up Shopify. But in the far, far future, it could just say, okay, applying for a banking license,
Starting point is 00:13:33 applying for a money transfer license. I'm going to rebuild Stripe. I'm going to rebuild Shopify. I'm going to rebuild a database from first principles. I'm going to use just raw C++ for everything. I'm going to make a data center. If I want to build an internet company, I should have at least one data center. And it all just does that in one prompt.
Starting point is 00:13:51 Because one prompt fires off. I mean, how many man hours have gone into building Stripe or building any of these companies? It's like tens of thousands of employees for most of them. For decades, you add all that together. But if the LLM can do that, if the AI system can do that in the data center in just a few minutes in hyper compression who knows maybe Logan Bartlett has another take on the astronomer video he says the astronomer video is great on its own but I'm even
Starting point is 00:14:18 more impressed with the leadership team and the board were able to come to consensus to make this investment and take this risk absent the CEO they've had for two years for the last two years I can't imagine everyone was on board with this initially so major kudos to everyone getting there eventually and taking this chance this bodes well for their future IMO and I agree like even with Guinevereux, it feels so funny, but like, there's this idea of, like, let's put out not a standard legal statement feels risky. And it's so easy for someone to step up and say, hey, like, let's not take this risk.
Starting point is 00:14:55 It's not worth it. Well, they put out the quick statement that Pete was stepping back into the CEO. Yeah, they had put out a few statements. But clearly, something was clicking on the board. The question is, what should Andy Beyer and the CEO having the affair? I mean, that's the best part about this video is that it doesn't take shots at him. Yeah, which is, it doesn't punch down. It doesn't make it like, oh, it doesn't drag that in.
Starting point is 00:15:17 It doesn't make it more complicated. And a lot of times when CEOs do get pushed out, there's like lawsuits about comp and was it a fair to release people. And so there's like all these things that can come back. Like if you are, especially if you're a founder and you're going back into a company where you've hired a CEO, you should be, you should probably not be talking. about that CEO because if you come out and say they were not good and that's why I had to step back in then that could hurt their career prospects and then they could sue you for defamation
Starting point is 00:15:49 or something like that so there's a lot of risk to anything around that all the corporate comms like it is like the lawyers are like annoying but like they do make a good point that like there is financial impact if you get it wrong so very very good um and then uh stay say say says I think we're going to find out that Chris Martin felt bad, asked Gwyneth Paltrow to help out, and they gave astronomer an offer to do damage control. My guess is that this is entertainment industry magic happening, not data tech magic. Hmm, Logan says. Chris Martin wants to, wants CEOs who are having affairs to feel welcome at his romantic concerts. He's like, this could be really bad for business. This could be bad for ticket sales. I have to go into
Starting point is 00:16:30 damage control. I don't think Chris Martin's behind this. This is a ridiculous theory that this stay say, stay sassy or whatever. Logan says totally possible. No, I do. I think there could be something here. I don't think so. I don't know. He feels bad that this just happened at his show.
Starting point is 00:16:48 Chris Martin has the data. He might be like 10% of people at my concerts. They're having affairs. You think he's storing an Apache Airflow? Or yeah, maybe he just really cares about. All his ticket sales are going through Apache Airflow and he's monitoring it using astronomer. He's just like, no, my bags.
Starting point is 00:17:03 I love this company. He's actually accidentally an investor as well through some fun. Maybe he's being capital LP. Who knows? He might be at that level. He might be in index. Anchor GP. Anchor LP in index.
Starting point is 00:17:17 In Bain and index. And to close out, Lulu said, for everyone asking me, this wasn't me. I do not work with astronomer, but I think it was very well done. Kudos to their team. And it says a lot about Lulu's brand that whenever good PR happens, people are like, Lulu has to be behind this. It can only be here. It did scream Lulu.
Starting point is 00:17:35 It did. It did. It did scream Lulu. I didn't, I didn't, I didn't ask her because I didn't want to know because I just like, you know. Like the mystery? I like the mystery of it. I feel like if I knew I should probably say something, you know. Yeah, yeah.
Starting point is 00:17:49 Anyway, let's shift gears. Let's tell you about Vanta. Automate compliance, manage risk, improve trust continuously. Vantas trust management platform takes the manual work out of your security and compliance process and replaces it with continuous automation, whether you're pursuing your first framework. or managing a complex program. Cheers to Vanta. In the other side of PR statements,
Starting point is 00:18:11 the T-App hack is an absolute disaster. And their statement was a disaster. Their statement was a disaster. It does not seem to their hand on it well. Somebody just informed me, a friend of the show, that it was Ryan Reynolds agency that pulled it off. No way. That makes a total sense.
Starting point is 00:18:27 Yeah, Ryan Reynolds. The bridge between Hollywood and Hollywood. Tech. Oh, he's a master, master of craft. And I feel like he's done a number of those solo direct-to-camera shoots. So there's an article, Ryan Reynolds' maximum effort ad agency turned Astronomals viral moment into marketing gold. Wow. The production company was involved with the latest astronomer video featuring Gwaineth Paltrow.
Starting point is 00:18:50 The ad is being hailed as a master class in crisis PR. I agree. Astronomer, fortune is saying, astronomer got the last laugh. They did. They really did. Re leasing it late on a Friday too is great. Shutting down the work week. Well, you don't want AWS to trade down too heavily on the news.
Starting point is 00:19:09 If you release that during market hours, it could be turmoil. Could trigger an entire market sell off. And last week, we had five back-to-back all-time highs in the S&P 500. That's why we're wearing white suits. And we're wearing white suits because we have peace with Europe. Peace with Europe. We created a list of top AI researchers. It's called The Metis List and it's available.
Starting point is 00:19:30 available. It's live now at metislist.com. These are the world's top AI researchers. We're of course experts in AI and AI researchers. So we are fully qualified to curate this list. But we did have some help from friends. And we pulled some data. We looked at who's top. Many of the people that we asked to do kind of like an ELO style ranking did not want to be named. Because nobody wants to be picking favorites on the inside. But I think we put together a great list. It's honestly some of the most impressed that there's people in the top 10 with no Dwar Keshe's appearances. I don't know how that happens.
Starting point is 00:20:09 It's crazy. How did they do it? You got to get on Dorkesh. Yeah, we tried to have some fun with this. We pulled some Google citations, some Google research citations, looked at some of the previous companies. This was of course based on the list, which apparently has been going around Silicon Valley. Mark Zuckerberg has been using this to recruit top AI researchers. We've been following the trade war, as Jordy put it earlier.
Starting point is 00:20:33 We should have put a buy it now price on here for Zuck, so you could just add to cart. Add to cart. Yeah, just create the superintelligence team directly on medislist.com. Maybe that's how we monetize this thing. Yeah, it was good to see Alan Turing make the list. Fantastic. Yeah, underrated. George Boole, not doing so well, inventor of Boolean logic, but he didn't make the list.
Starting point is 00:20:55 But I think he's sitting in the 80s not doing too well. Tyler, tell us more about the list. What do you think stands out? What'd you learn from the process? What was your methodology? How'd you build this thing? Yes, this is a lot of fun. I scraped most of Google Scholar, like the top 5,000 people maybe. And then with some friends from the big labs, I kind of narrowed it down. You can see like a lot of the papers. They've written interest, stuff like that. I think another gem in there is Alan Turing. He's doing pretty well right now. He's, let's see, he's ranked number six. He's at six. Yeah, people love touring.
Starting point is 00:21:28 I mean, we passed his test and how long did his test stand? What, 60, 80 years? Not bad. Yeah, something like that. That's longer than most benchmarks in evals. Alan Turing versus goalposts. Yeah. Yeah, yeah.
Starting point is 00:21:41 Wait, what were you about to say? Yeah, I mean, it's the longest enduring benchmark, I think. For sure, 80 years, yeah. But who knows? Arc AGIV3 might be around for 80 years. We might be hearing. I beat it. In 20, in 2034 or something.
Starting point is 00:21:54 Wait, no. 2,120, I guess, would be like the Allen Turing test benchmark. We got John Shulman, who else? Juergen Schmidhuber is on here. Jeff Dean, one of the greatest to ever do it over at Google. He's been at Google for a long time. Still, yes, a Dwar Keshe appearance. Let's go.
Starting point is 00:22:16 Let's go. That's good. Built MapReduce, Big Table, TensorFlow. Yan Lacoon's in here. You got all the different countries. There's really wide representation, Canada, UK, Australia, Russia, China. There's all sorts of people from all over coming together. A couple people without photos have been able to stay anonymous, but most people, we got their photo.
Starting point is 00:22:36 Shaltrow Douglas, good to see them on here. So this should be fun. Well, I'm sure we'll get a lot of feedback. Oh, Duarteau ranked 56, but three Duar Keshe appearances. There we go. I mean, how are you, were you waiting? Were you waiting podcast appearances properly, Tyler? You should be at the top.
Starting point is 00:22:54 Putting up numbers like that, for sure. Yeah. For sure. Yeah, he's going to be coming for Ilya's spot. Yeah. So this is a lot of fun. There's an email sign up. You can drop your email at the top to learn about the next drop, whatever we send out.
Starting point is 00:23:11 That's right. Whenever we go live with stuff, we will let you know first. And we're getting big into email soon, by the way. Stay tuned for that. Very excited about that. And, yeah, hopefully this speeds up our trading card. generation because you'll just be able to screenshot this and say this person's just got traded because it's moving fast and furious and we can't spend that much time hand crafting each of those
Starting point is 00:23:35 trade deal trading card images. We might be able to rip the indeed. Indeed. There's a lot of stuff going on. Well, interesting. Related to Zuck, did you know that one of the kids at the IMO that was competing against Open AI and Deep Mind was named Alexander Wang. Wow. Great nominative determinism. Yeah.
Starting point is 00:23:57 Future Alex Wang. And speaking of ILO. Yeah, people are calling him the Alex Wang. The Alex Wang. The next Alex Wang. The next. He does have an E.
Starting point is 00:24:07 It's not A LXE and D.E. It's D-E-R instead of D-R. So slightly different. But still, Alex Wang, nonetheless. Welcome to the show. Thanks for having. Our humble New York Temple of Technology. Yeah. Give us the update. What's the news today? Break it down for us. Great jacket, by the way.
Starting point is 00:24:25 You've got little touches of yellow in there. It's not quite yellow enough for my taste, but there is a little bit of yellow. By the way, our Taylor designed these to celebrate and really symbolize saving time and money. So I think they did the job. I think they did the job. I'm overwhelmed. We'll get you. We'll get you one too. We've got to do this. We've got to go main on the street in like Times Square. What do you do for a living? What business do you run? Do you want to save time and money? Let's get you on ramp right now. We'll introduce to the CEO. Ramp.com. Yeah. But break it down for us. What happened today? Yeah. Well, first, I mean, we might need a bigger gong. I know. You have no idea. We're going to the ends of America to get an American made gong.
Starting point is 00:25:12 And we're looking for something that will actually be floor to ceiling. You know, it'll be, something like 20 by 20. So working on that, I look forward to hitting it. for the next one, the series E3. Yeah, yeah, yeah, yeah. This is phenomenal. Guys, thanks for being here, here in New York, the capital of capital. Yes, it is.
Starting point is 00:25:32 Technology here, TVPN. No, it's, we raised $500 million at a $22.5 billion dollar valuation. There we go, there we go. It has a nice ring to it. And I'm losing track, but it seems like ramp has not been able to get a fundraise public without it leaking, you know, five days previously to the press.
Starting point is 00:25:56 But this is official. I'm glad to make it official here. It is official. It's the right valuation. And look, I, early on in my career, I got this advice that the biggest battle of start of faces is people not giving a shit, people not caring. And so, you know what? We're happy that people care, even if things come out a couple days before.
Starting point is 00:26:14 Yep. But we feel super lucky. And so that's the big news of the day. but you know I think so much what we focused on today especially in the raise is what we're going to do with the capital between the last raise which we were proud to hit the gong for um here six weeks ago yeah six weeks ago um someone actually came from from actually from the product we launched her first AI agent uh for controllers and the data was like nothing i'd ever seen before um so that catalyzed this 100 percent yeah yeah that's my big question uh like why e2 why not
Starting point is 00:26:49 not F. And then also it feels like you're like the king of like a bunch of fundraisers in the short amount of time. Yeah. Like there's clearly some benefits to that. But why not? I got to give some credit to the business, John. I mean, Eric's a great CEO. But the business is really, you know. Well, I don't we even talked about this before like, like, we'll share it. Like right now, um, July is pacing, um, we're pacing to do 20% more purchase volume in July than June. Like it's it's been one month like like the business is growing extraordinarily quickly what's that what's a meme with the guy on hot ones where it's like no no guys don't talk we need to it's uh have Celsius but um no no that's insane the business itself
Starting point is 00:27:39 is I remember I'm sure in back in 2020 you'd be happily sending you know investors like a you know we grew 20% month over month you know but on like you know whatever one percent of this scale. Yeah. So really wild. Yeah, I guess like the bigger like meta question is just like like there's a world where you stack a bunch of these wins into the mega deck and then just do like one massive fundraise every 18 months. There's this meme of like fundraising is a distraction. The CEO should be out there working with customers and proving the product. Obviously you're doing that. But how do you how do you do these back to back fundraiser without them being distracting? I know you have a big team now. But like what goes into the
Starting point is 00:28:19 the decision to do, like, I don't know if they're even smaller, but just like more frequent fundraisers, because that feels like something that's unique to your company. Yeah, yeah, for sure. So one, it's sort of a funny thing, but people, I actually didn't understand this before in the startup world, like what is a series A or a B or an E2 really? Somebody who did a $55 million seed round. Yeah. And then you'll talk to. And we pressed them. We were like, is this for marketing? Like, you know, you're still going to get the expect, like the expectation will be that you perform at the series B. If I walk around that company, it's going to feel like a Series B company.
Starting point is 00:28:51 I almost think calling things by letters is totally silly. All it actually meant was we had a set of documents that we used. Whenever financing happening, there's hundreds of pages of documents that go back and forth between company and investor. Calling it in E2 just meant that we use the exact same documents. Save time and money. Save time. Save money on lawyer. No, it was really just that.
Starting point is 00:29:13 So look, it was very efficient to get the financing done. And I also believe a lot in this concept of of marking to market. Yeah, totally. Of in real time, what are companies ultimately worth? And you know, when you look at the fundraise from about a month, month and a half ago, I think is when it was announced done earlier. You know, we raised, I think in exchange for about $200 million,
Starting point is 00:29:36 approximately 1% more shares came onto the capital. So it was a very small amount of dilution. With this raise, the $500 million at 22.5, it's like two, percent. See, these are not that dilutive. Yeah, it's not completely restructuring the company, but but it's giving you a more modern mark. And adding to the war chess. Adding to the war chest, and I think it's a good thing because one, you know, allows people to invest at the right point in time, but two, because you're you're not raising far ahead of where metrics are, it means that the company is not that distracted. You know, for the actual organization, like we've just been
Starting point is 00:30:16 obsessed with going. You're not in a position where everyone's like, oh, like at this valuation, like, Ramp doesn't just need an act two, but they need an act three, four, and five. Like they got to, you know, create super intelligence and all this crazy stuff because like, like it's like based on the actual progress of the company. 100% right. Makes sense. I want to talk about the product.
Starting point is 00:30:35 I want to talk about the AI agent thing. The interesting, my experience with Ramp was that it was in many ways an AI agent before AI agents was a buzzword. And I know that obviously when you scan a receipt, it goes through an OCR process and the data, the text is extracted from the image. And then I would assume that you were an early adopter of LLMs to help clean that up.
Starting point is 00:31:02 And that was in many ways a more like a super magical AI agent experience, but I'm not prompting it. It's just something that's happening in the background. It's invisible. And you're using some, you know, deterministic code, some probabilistic code, some older machine learning algorithms for OCR, some newer LLMs to clean up the data and tag things and say, this is a restaurant, that's a flight, and, you know, do all the magic that helps categorize expenses.
Starting point is 00:31:30 The question is, like, it feels like a big shift to put the agent in the hands of the user. And so you said that you're seeing, like, incredible adoption. What are people actually using for? what's the feedback and and I mean like yeah what else are the learnings of like where that goes do people want that or do people ultimately want to be able to prompt a few times and then have things baked into the core behind the scenes workflows yeah so I I feel like so let's talk a little bit like what like AI assistants what are AI agents what's the distinction because I actually think people are like pretty sloppy with it too and so I feel well to be clear if you want to raise money right now you
Starting point is 00:32:13 just build SaaS and call it an agent, boom. But let's talk, we have a lot of people who are building who are listening to this podcast. So I think first for, you know, assistance or co-pilots, the idea is a person prompts. The co-pilot will review it, will make a recommendation. But then ultimately, it's on the human to go do the work. I get a recommendation. I input, it's back and forth. This is maybe similar to experience that you might have on a chat GPT or that kind of a thing.
Starting point is 00:32:40 An agent is a bit different. What you do is you give it instructions and access to tools and you say under certain conditions, if you see an outcome that I've instructed you drive, just go do it, right? Forever, essentially. Forever. And, you know, I'm going to modify things from time to time. But it's a little bit more similar to like, let's say you hire an intern or a new hire, you teach them how to do the job, you watch a bunch of times.
Starting point is 00:33:01 And then they go on and you periodically check the work. And so that's a bit of the distinction. And one of the, if you think about what we're actually optimizing for, one of the core, metrics is we look at what was the amount of work that a ramp customer was able to do in a single let's say in an hour or in a minute right and so as we look over over the years that's gone up a lot and if if you joined in 2023 you know mathematically we can show that you are categorizing three times more transactions pulling in three times as many receipts whatever the metric is as you did just two years ago for every minute you're spending on the site so it's all to say like
Starting point is 00:33:41 like every minute is counting for three times more. I think that ratio should be 30 times more. And if you look at what happened, so we launched, we made this announcement about three, four weeks ago for this first AI agent, and we had early adopters, Notion, Webflow, Quora. The stats just absolutely shocked us when we looked at this.
Starting point is 00:34:01 Functionally, these companies were able to get 15 times more work done. Transactions categorized. But the more interesting part is, these agents were way more accurate. These agents all day, they know the expense policy better than any manager at the company. And so it was 99% accurate. It got a lot more tasks done.
Starting point is 00:34:23 And suddenly, like for many people who've worked at large companies, you spend like an hour just reviewing expenses and you're like, why I'm spending an hour reviewing like someone's Uber or their purchase? And that's just gone. And you're focusing on actually the interesting exceptions. And so where I think this kind of adds up to is for a lot of years, people had to be forced to learn how does software work and how do I think like software?
Starting point is 00:34:45 How do I learn to use Salesforce? How do I learn to use Google? How do I learn to use Excel? Now we're teaching these software programs to think like people. And that means you can teach software functionally the same way you would an intern to go and figure out what expenses are in and out of policy. And that very avid software that doesn't take breaks, doesn't take holidays that is obsessed over every deal of your expense policy, You can catch when your policy is incomplete. It's online if you need to talk to it.
Starting point is 00:35:13 You're on a work trip and you need to, yeah, or yeah, therapy. But I was going to say, like, you don't, if you can avoid messaging somebody on the weekend to ask if something's in or out of policy, it's like it benefits everybody. Yeah, yeah. That's exactly right. And I think you're bringing up like another point of like a lot of work is sort of if this and that. Like if you get a, if you get a, like, you want to buy a new piece of software and that vendor sends you like a quote. then procurement negotiates it. Once procurement negotiates it, then legal takes a look at it.
Starting point is 00:35:45 Once legal says it's fine, then finances, is there an invoice and we go and pay it out? And then it goes into accounting. But if you have lots of digital agents functionally all the time online and responsive, these things can occur simultaneously. And so it means actually, instead of waiting days to go and onboard a new vendor, it can be done in minutes. And so it just means it's much easier to do work. And I think the big picture of like,
Starting point is 00:36:09 why are we here at all? It's actually just to save time and money to make it easier for more companies to operate, and that's what the stuff adds up to. It's really nice when you don't have to update your mission statement. I know. As new technology, I mean, this is, we've talked about, you know, Google's original mission statement, which is loosely, like, you know, organize and make the world's information, like, valuable, right?
Starting point is 00:36:33 And it's like, okay, well, generative AI, like, does that very efficiently. a gentic workflows applied to finance, save people time and money. It's the same, same mission. I want to take a post about a post from Keith Rabeau. He said five out of six board meetings he had in the last couple months were about how to design a company's organization for AI. I'm interested in, and we've been debating this in the context of meta-super intelligence, is artificial intelligence an app like Facebook Instagram, WhatsApp, or is it like their finance team, like their infrastructure team, like their database team that sits across all of the apps as like a service layer? And I'm interested to know, like you have a product now and I imagine that there is a team that is working on building that
Starting point is 00:37:22 product and that product has AI in the name. But then I imagine that every single person from designers to engineers to, you know, the ops people are using artificial intelligence in their day to day. And I'm wondering if you're seeing a new, like, cross-functional team develop or how you're thinking through that, that tradeoff of like horizontal versus vertical, maybe both teams in just terms of running a high-performance organization. I love his post. And I think it's actually, like, I'll put it this way. Like, I don't think most people have really come to terms with the reality that like computers can like see and hear and like think now. Yeah. It's crazy. It's so different. And like if you're like just going and repeating the same
Starting point is 00:38:12 organizational structure that like was in place when anything were possible, like it's a little bit of like are you are you awake? Like this actually is the right question and one I think people should be spending a lot more time. You know, in earnest. We need more business. We need some new business you know, management textbooks. It's true. It's a joke, but there's no, there's no like enduring. So if you don't, if you have a whole piece of your org chart that doesn't have any
Starting point is 00:38:38 AI on it, like you're going to ship that in the product. And then people are going to be like, wait, this part of this piece of the product feels very manual and like web 1.0 almost. Yeah, the, I mean, one, one thing that happened yesterday was Zuck saying, like basically saying you can now use AI in your coding interviews, which sounds insane. Like, wouldn't you want to say? still hire for people that might just naturally be good at engineering and then get better, but he's basically making the statement of, no, we're so committed to this new paradigm that,
Starting point is 00:39:08 yeah, you should use every tool you have available to do the best possible work. And I think it's totally right. And I'll admit some, even for people who, you know, are interviewing soon, there are some job functions at Ramp where it is actually not possible to pass it, like, an interview or a coding interview without using an LLM. Wow. And that's intentional. It's actually intentional to figure out, like, are you curious about that? Are you using these tools or not?
Starting point is 00:39:34 It's not a question of IQ. I think there's brilliant people who, you know, don't need an LOM to think. But I think that the capabilities of being able to access an extraordinary amount of compute as well as specialized, you know, knowledge. Why wouldn't you? Yeah. It's like just because Scott Wu could do a problem in his head doesn't mean he shouldn't use a calculator. Yeah, yeah. Yeah, yeah.
Starting point is 00:39:54 It's funny. One of the old coding challenges was this thing called FISBuzz where you try and write out numbers from zero to one. And if it's odd or if it's divisible by three, you write FIS and if it's divisible by FIS, you write FIS, you write FISB, and then if it's divisible by both, you write FISB. And it's like a very basic coding challenge, but it always assumes that you have access to Python. And it's not saying, okay, you have to go and fab your own semiconductor to do it. And so it makes sense that, like, you know, we are in the age of LLMs. Like, that's going to be a tool that we expect to pull off the show.
Starting point is 00:40:22 This is good. Kareem might start requiring the engineering team. You're going to have to be able to set up your own semi-fab in order to... Write it out in binary with a pen and paper. You should be engineering with your own silicon. Yeah. One interesting thing, we've talked a lot about this like Move 37 concept. Lisa Dahl, the Google Deep Mine challenge.
Starting point is 00:40:40 They beat Lisa Dahl. And in Move 37, it was like this moment of like true inspiration where AlphaGo put a piece on the board that was so unexpected. Lisa Dahl stood up, went outside, smoked a cigarette. And it was like, that is mind blunt, right? And we've had moments like that, maybe the Studio Ghibli moment is this, like we've had passing the touring test. But there's also been plenty of areas
Starting point is 00:41:01 that feel more intractable in terms of artificial intelligence. And it feels like if you are like with the latest IMO, problem six was this combinatorics problem that I don't understand, but neither does Open AI or Google apparently. So, you know, we're basically the same. But my question is like, is like, with the AI agent's,
Starting point is 00:41:22 product. Are there things that you see CFOs, modern CFOs do? Like, what is the humanity's last exam, the intractable problem, the most elegant, beautiful thing that a CFO can do that feels like, oh, this is going to be something that's happening and requires like the human touch for a very, very long time? I think, I think my immediate thought, it's to give you some time to think is, it feels like AI today is really good at doing the work that like a management consultant could do. So you can like tell them like I run this type of business like make me a marketing plan or come up with five ideas for marketing strategies and Q4. And it will create like a great report. It'll look great.
Starting point is 00:42:04 It'll have some maybe some decent ideas. And yet it still feels like to do truly exceptional work. Like we like Monday like the three of us spent like a couple hours talking about some some campaign and like debating. it and all these different points and it's like we could have had AI in the mix there but you could imagine to be tossing in ideas that uh that that were kind of maybe random and and maybe something helpful but it was still like you just like people needed to just like sit there and just like hash it out and it feels like that's that's like you know do the work to like do analysis create reports you know when it when it comes to like actual knowledge work yeah but anyways
Starting point is 00:42:41 I know what your thought is I I love this line of questioning and I think it's going to get super interesting especially is, you know, AI is going from a primarily academic tool and also in some ways I feel like it's it's jumped into software engineering in part because, you know, software engineers know what it is to code and, you know, they're working with AI and so they have good taste and there's these great feedback loops. And so it's happening there sooner, but it's starting to make it into general business logic, finance, everything. I think a good place to start if you just want to decompose the problem is like, what is the job the finance actually. What is it? And I think if you were to just really simplifying it down,
Starting point is 00:43:22 it's in my view, some subset of you're going to define a set of rules that govern who is able to spend what under what circumstances, what are the controls you have in place. Once activity has occurred, you spent money, things are coming in, how do you record that activity accurately? Close your books. And then based on what occurred, how do you goal? seek to more profitability, more growth, more cash flow, whatever thing you're going to go try to go do. It's about it. And if you really kind of simplify it, it's just a set of rules and algorithms.
Starting point is 00:43:58 These systems, one, they're incredibly complicated to do each of those things. And so I actually think, like, brilliant people have over the last 50, 100 years been reduced to, like, I don't know, in some cases, tabulators, just calculating things, or, like, download the same spreadsheet over and over or matching the receipts and doing like very low level task and only doing a little bit you know after you finally look a great example is like when any any like uh like tv show about business yeah it's like like uh you look at like the office all of this was any real work done like you did it was there you don't you don't really do you remember a time when they were maybe once or twice they called a customer or they did a customer meeting but outside of that
Starting point is 00:44:44 it's like thousands of hours of just like doing they're doing business but they're not like are they really getting anything done and so I think I think the point you're making is like how much of the work that we do is should should be the work that we're doing I think that's you nailed it like I think so much of work is very mechanical and it's you know we want finance to be forward thinking and strategic but the reality of a lot of finance is looking backward I think that's yeah yeah I think that the strategic thing is really key like like Tyler Cowan would say that like relationships are very lindy and going to stick around for a long time, trust building, that type of stuff.
Starting point is 00:45:19 But Ben Thompson dumped some sort of, you know, 10Q into chat GPT and said like, make me a Ben Thompson style article. And it did some of it, but it didn't have the, yeah, yeah, it didn't have like the actual strategic insights in the storytelling that can actually like marshal the proper resources. And I feel like that's in many ways the job of CFO. It's risk taking. It's deciding the right strategy for the situation. And it seems like the frontier models are not quite there yet.
Starting point is 00:45:50 You nailed it. And I think that when I think about the next set of years, with the fundaries, we tried to lay out of like we're seeing glimmers of like this whole industry is going to get rewritten. What do we think the industry looks like over the next three to five years? What does the org like look like? And we laid that out in the post. But I think the biggest transformation is like really, really. I think most of the finance function today, unfortunately, is very backward looking.
Starting point is 00:46:16 But I think as automation, agentic workflows are coming to the forefront platforms like ramp, actually more people can be looking forward, can be spending time, you know, on like for Ben Thompson. Like what are the really interesting breakthrough theories and how do you go and make things better? And when I think of like what is that last exam ultimately for a finance organization is, you know, I think there are companies that have taken these tests. So I think one of the interesting studies I think about is Amazon. In its early days, so they were very early and they would send email follow-ups to customers. You just bought this.
Starting point is 00:46:54 And the old way of doing email marketing to customers was someone would write, like if you've seen like the Trader Joe's newsletter where someone writes like these poetic things about the new ingredients and cool stuff, come try this and whatever. Amazon did that in the 90s. There was an editorial team talking about the great new products that were coming online on Amazon.com. And then there was this personalization team. It's like, I don't know, P12N or whatever it is. And they said, we're going to A, B, test it. This personalization team, you're going to get 10% of the send volume. And your job is to just go and try to find these weird connections,
Starting point is 00:47:28 these move 37s of like, you just bought this. You may be interested in this product. And for a long time, humans crushed the personalization team. There was something kind of in the example of how these marketers thought that was better. We're going to get better and better and better until one day the personalization team, the volume started winning. Sure. And it kept winning.
Starting point is 00:47:49 Yep. And there is no team that is sending like newsletters around. And so, you know, it turns out algorithmically on single products, you might be able to go and have a better algorithm of recommendations. I still think for quite a while. Yeah. There was a role for creative CFOs and thinking about these unexpected strategies. It's sort of in some ways like, I don't know, make it about you guys for a second.
Starting point is 00:48:10 The media industry has been. it for a long time you know there's live streaming you know TV has been around for for a while no one saw this and suddenly like this is one of the most I think important things happening you know in in broadcasting it's your show thank you you guys saw it yeah and I think there's room for people of great taste who are great marketers for great leaders CFOs and so no I'm I'm bullish actually when you have time to think about the interesting work 100% yeah like there's one world where you see the expense policy is like a set of if statements and there's a different world where you start thinking about
Starting point is 00:48:44 expenses as like bets and risk taking and actual like what is the net present value of buying that particular thing will this pay off for the business does this actually increase shareholder value when you buy even just that those pencils versus those pens like that's really also i mean i mean yeah there's so much uh you know finance historically is you know looking backwards and you can make decisions based on that be like whoa we spent this on this we shouldn't do that again but there's also so much that you can bring in of like even helping understand projecting you out. Did you know if you adopted this tool and then you grow headcount 20% or 30% or 100%? You know, this is going to be in a year.
Starting point is 00:49:20 If you keep this existing, you know, plan, contract, you're going to be spending, you know, some crazy multiple of what you're paying today. So, and there's so much. So what's next for the company? Is the job finished? Yeah. Everybody, everybody in the chat's asking job finished. Is the job finished? The job is not finished, guys.
Starting point is 00:49:37 I'm still, we're still, we can't believe it. There's so much to do. Let's go. Job not finished confirmed. No, guys, this is, I love this thing. No, it's like, we're pleased, we're happy, but like this is the crazy thing about our industry is that any business that spends money
Starting point is 00:49:56 could be a ramp customer. And we've come a long way. They will be. They must be. They must be. I don't know, we're working hard on it. But guys, most, most people, you know, pour one out for our friends, like expenses, closing the books.
Starting point is 00:50:13 It is the worst hour of their month. It doesn't have to be. We're going to change that. Fantastic. Incredible. Well, thanks so much for stopping by. Thanks a ton. A ton of fun.
Starting point is 00:50:22 We'll see you later, hopefully. And please recommend your tailor to me. I got to get one of these things. We'll put you in touch. Let's read through Ben Thompson's analysis of the Figma S1, the Figma OS, and Figma's AI potential. to reach a course in Manhattan for Figma's IPO tomorrow. We're very excited about that. We will be live from NYCE, the New York Stock Exchange.
Starting point is 00:50:45 Yes. So Bloomberg has a story here. Figma's initial public offering is approaching 40 times oversubscribed according to people familiar with the matter. Is that good? And collaboration software. We'll have to ask everyone tomorrow if it's good. Did they get the same revenue multiple as how oversubscribed they are?
Starting point is 00:51:03 It could be the year's most in-demand listing. the company is guiding prospective investors at its IPO, which could raise as much as $1.2 billion, is expected to price above the marketed range. The people said the San Francisco-based firm and some investors are offering 36.9 million shares at $30 to $32 per share after increasing the range Monday from $25 to $28 each. Order taking is expected to end at noon on Tuesday in New York. Bloomberg News has reported oversubscription refers to when the number of orders for shares in the IPO exceed shares that were originally offered.
Starting point is 00:51:38 And so, a lot of demand for Figma shares, which makes sense. It has been one of the most in-demand secondary. It helps you think bigger and build faster. That's right. It helps design and development teams build great products together. What's not to like? Nothing like mixing an ad into, at least this is Ben Thompson's analysis, right? So Ben Thompson is not sponsored by Figma.
Starting point is 00:51:59 No, he's not. We had a friend of the show come on and break down the S-1 when the numbers dropped It was kind of like the dream case for SaaS, right? Coming out and immediately being the top, you know, from a purely metrics-based look, the top SaaS company in public SaaS company in the world. And of course, a lot of people point to the rule of 40. You add the growth rate to the burn rate, how much money you're losing. If you're losing a lot of money but you're growing really fast, that's fine.
Starting point is 00:52:27 If you're making a ton of money but growing slower, either way, they should add up to at least 40%, higher the better. And if you add Figma's up, they're in the 70%. So well beyond 40%, according to the rule of 40, which is, of course, exciting to the venture capitalists who popularized the rule of 40. They basically created profitability. So he says, I think you can make the case
Starting point is 00:52:50 that an $18 billion valuation is in fact too low. Indeed, I think you could make the case that the company is worth more than $20 billion. Adobe agreed to buy it for $20 billion back in 2022. That, of course, is despite the rise of generative AI, which at first glance appear to be a threat to Figma, because you just go to chat GPD and say, hey, build me a collaborative software tool.
Starting point is 00:53:13 And maybe it just won. Don't make mistakes. Don't make mistakes. But he says, I would go in the other direction. Generative AI and the opportunity it represents is exactly why Figma should go public, as Field strongly suggests, and get ready to be acquisitive. Get ready to get bought. Do some deals.
Starting point is 00:53:32 We love a Dylan field deal. The Figma OS, Ben says the reason why I'm optimistic about Figma comes from my belief that Figma is not simply design software. Rather, it's something much more fundamental and valuable, an operating system with a collaboration built in. Here is how I explained Figma back when Adobe tried to acquire them. Forgive the long excerpt, he says, but it really is the point as far as my optimism about Figma is concerned. He says, here it is important to note that Figma's most prominent victim to date has not been a Adobe, but rather sketch. The explosion in apps led to a growing market for product and design. Product design and development as designers needed to lay out a whole host of different app views
Starting point is 00:54:11 and developers needed to know what exactly the designers wanted them to build. Photoshop and Illustrator, which were primarily focused on the creation and editing of single files, were the completely wrong tools for the job. Sketch, which was released in 2010 as a MacOS app and is still MacOS only, although it now includes the ability to view files on the web, completely took the category, by Storm. Adobe eventually responded with Adobe XD, but not until 2015, and the product is still in third place. Sketch, though, is now only in second. Really quickly, let me tell you about adquick.com, out-of-home advertising made easy and measurable. Continue, Jordy. Chris, the CEO of AdQuick,
Starting point is 00:54:50 is in New York as well. We're going to try to meet up with them in a little bit. Sketch was not a disruptive product. It was, like Adobe's products, a desktop app. It just delivered a solution to an emerging product category that Adobe was a slow to respond to and that was like the designing of web and mobile products. Figma though was something completely new. The company, which was founded in 2012, made a bet on the browser and spent a full four years building V1 of the product. This included, which is just so funny because normally if you talk to a founder building a software company and they said, yeah, I'm three years in and I haven't shipped an MVP, you would just immediately write the
Starting point is 00:55:27 company off because like, you know, why haven't you shipped? In this case, it was necessary. Quit your job, raise $10 million, vibreel, launch video, slop, like, product in two seconds. Like, that's the flow. And then a time of bugs and then sort it out. And then maybe it works.
Starting point is 00:55:43 Don't worry about securing personally identifiable information at all. Just get to the top of the charts and figure it out later. So this included writing the editor in C++ plus, cross-compiling it to JavaScript using the ASM. dot j s subset that let it achieve desktop light control of memory and performance and building its own rendering engine from scratch using webGL which had only been released in 2011 webgl was the why now for the business and dylan was very early to recognizing that it was the epitome of leveraging new technologies to compete on a new vector which in this case was collaboration and uh you know
Starting point is 00:56:21 anybody anybody under the age of 25 like probably doesn't remember the pre uh pre phigma era but like like having different files and sending them back and forth and like sending comments by email. It's just like it, even personally, I only briefly was working without having access to Figma. So Ben says, think about my brief description for this product design and development segment. Multiple app views created by design and implemented by engineering imply at least two different people working on a project, a designer and a developer. In reality, the huge number of views and increased functionality in apps meant that there were. was an increasingly large teams on both sides. The sketch definitely made it easier to design an app in one place,
Starting point is 00:57:03 but it did nothing to make it easier for teams to work on the app together. Figma, because it was native to the web, effectively got collaboration for free from the beginning. Yeah, this is a crazy screenshot. I don't know if we can show this, but on Figma's website, the company compares itself to Adobe XD, but I use Photoshop and Illustrator. Don't stop.
Starting point is 00:57:23 We believe you should use the best tool for the job if you're photo editing, choose Adobe Photoshop. If you're doing detailed illustrations, Adobe Illustrators is no-brainer. But if you're looking for the best tool for UX design, Figma is here for you. Plus, you can easily import images and SVG code into Figma and have your cake and eat it too. And so putting the competitor's products right there. And recommending it. Eventually, Photoshop and Adobe did launch a competitor called XD, and XD wound up is getting killed by Figma, but no one ever subscribed to Creative Cloud for XD. You just used it because it was here.
Starting point is 00:57:55 So it's Ben Thompson. The problem though, to the extent that Adobe's products were being used as part of Figma's workflow was the extent to which Adobe was slowly but surely losing control of its long-term relevance. Figma could, for example, start investing much more heavily into its photo editing or illustration capabilities, rendering Adobe's products increasingly unnecessary. What is more threatening is Figma's cross-platform capabilities. Third-party developers can build plugins for Figma that make it possible to easily add the sort of editing capabilities. So regulators blocked the Adobe deal and Ben Thompson,
Starting point is 00:58:26 and says he thinks it was correct. The regulators got to correct that time. And based on the run that Figma's been on ever since, it seems like it could be a win for them as well. Yeah. And it's interesting because a lot of people. Same roller coaster for the team. Yeah. And Figma, I think during the acquisition process, clearly didn't have the insane urgency to launch new products because they thought they were going to, you know, Adobe and would be part of an organization with a bunch of different individual apps and watching how they reacted after it was blocked and then came and just started shipping like crazy. And so the FTC has gone after some mergers that have made no sense.
Starting point is 00:59:06 Like they, I believe they blocked. Like Roomba. The Roomba one, yeah, that one didn't make sense. The worst example I can think of is Meta bought a VR fitness app. And they said that Meadow was trying to create a monopoly in the VR fitness market, which is just not a market at all. It doesn't even exist. And I don't know anyone that does VR fitness.
Starting point is 00:59:24 fitness and it's very rare. And so it totally makes sense to let that team get an exit and go hang out at meta and try and work on this until creating the market for the market. And then as soon as it takes off, there's going to be a ton of competitors immediately. And so it seems like totally fine to let that one go through. And then there are other sides where, where like truly there are like two players and they're merging and there's going to be a lot of a lot of competitive dynamics that come from that. Anyway, let me tell you about Bezell, pre-owned luxury watches, authenticated in-house Bezzel is the top marketplace in the world for authenticated luxury watches. Yeah, and again, just more context.
Starting point is 00:59:59 So Amazon's acquisition of iRobot, the maker of Roomba, was blocked due to antitrust concerns, which was primarily from the European Commission. They were worried about a monopoly in home robotics, I guess, and the CEO ended up just resigning. Yeah, it's interesting. It's like the robotic vacuum market is extremely competitive because of a lot of the Chinese companies, Ufi, and there's a few others. Like, it is definitely not as much of like,
Starting point is 01:00:30 it feels like a lot less of a sticky product because yes, it maps your home and it's supposed to learn, but really if you move to a new place and you get a different robot vacuum cleaner, like you're pretty much good after a day. You're not like, oh, I can't get out of the Roomba ecosystem. Whereas like even Sonos is stickier than that. And so I never had a problem with that.
Starting point is 01:00:47 And I robot shares are down 95% over the last looking over the... Well, we actually got blocked and then they just got cooked. Yeah, they actually went public July 31st, 2020. No way. Stock popped to $133 a share by early 2021. It's now sitting at $4.28. What's the market cap?
Starting point is 01:01:08 130 million. 130 million. So a little bit of value destruction from the European... Imagine how frustrating that would be. You're like, I think I'm getting out to like the most logical acquirer possible. So Figma's position and the AI potential consider the position Figma has in the software design process. First, Figma enables collaboration, their original differentiator from Adobe and Sketch.
Starting point is 01:01:31 Second, Figma creates one canvas for app creation, everything based on the same URL, instead of files that are passed around with increasingly absurd file name appendages, you know, final final final V3, V4, V1, Final Final. Third, Figma serves as a source of truth for an app's design. These capabilities seamlessly translate into AI-enabled workflows. And so- And these capabilities seamlessly, translate to AI enabled workflows.
Starting point is 01:01:55 Collaboration today between a host of humans could very well mean coordination and orchestration of AI. Critically, Figma isn't assuming or relying on an AI doing everything. Granted, that is a theoretical threat to the company, but the problem with AI-only development processes is that they are extremely difficult to debug or decompose. Figma gives a natural canvas to add in AI. So Ben Thompson kind of closes out talking about Figma as the OS of design being important. What operating systems have is coordination and orchestration abilities, one canvas, where all the work happens.
Starting point is 01:02:29 And the source of truth. And then for now, for now, Figma gets its nascent AI, it gates the capabilities behind a full seat license, i.e. the most expensive plans. They also have usage-based model. But they, Ben Thompson is advocating for Figma to move towards some sort of usage-based or task-based monetization model. This is what selling work. Yeah, sales force. selling the end product. Exactly, as opposed to seat-based. And so that will be a business model transition.
Starting point is 01:02:58 And he says that the transition will be tricky. And it's arguably the best argument against Figma going public because if all of a sudden you shift to, hey, we don't charge per seat. We charge per finished design or finished website or shipped website. Then all of a sudden you could see that you wind up with a much better business model four quarters out, but you have two rough quarters. And the public markets don't like that. And people always talk about that being one of the reasons, one of the drawbacks of being public is that, is that you have a lot of investors that are a little bit more short-term oriented. But he says, I think, however, that it is notable that Field mentioned M&A in his argument for going public. Figma would do well to start acquiring AI companies to plug into every aspect of its stack, particularly now when AI capability is nascent and not yet a threat to Figma as a whole.
Starting point is 01:03:47 Above, I was skeptical about AI replacing Figma. but that is a skepticism that is relevant for the short term. Figma's task is to replace itself before anyone else has the chance in the long term. Looks like we have our first guest. Let's bring them in. We have Andrew Reed coming in. Andrew Reed. In a beautiful suit.
Starting point is 01:04:04 Looking great. Somebody confused me for Andrew Reed earlier. They said, hey, we're Andrew, right? I said, I am not, but he is close by. What's going on? Andrew, welcome to the stream. You're alive. How are you doing?
Starting point is 01:04:17 You are live. Welcome to New York Stock Exchange. Thank you for having us. You guys look like you were made to be here. Yes, yes. The decision to put on the since six months ago has paid off flawlessly because we don't have to dress up for something like this. Is this my microphone?
Starting point is 01:04:28 That's your microphone. Yeah, wonderful. How are you doing? Give us your reactions. How's this day been for you? Let's see. Well, first off, congrats to your initial public appearance at the New York Stock Exchange. Thank you. It's really exciting.
Starting point is 01:04:40 Today has been, it's been a good day. You know, you open Dylan ring the bell at 930 and it's 211 people. 2.11 p.m. Eastern right now. Sure. So we've been milling around for many hours. Okay. It's a little exhausting. It opened and yeah, it's amazing seeing the team here. And just the excitement of everyone chanting Figma and seeing all the traders in there swagged out Figma jackets.
Starting point is 01:05:01 Yeah, yeah, the jackets are amazing. The jackets are amazing. I'm going to go and start market, you know, bidding jackets after this because those are totally iconic. The thing that stood out to me is all the little, like they really made, they really made nicey their home. Like every single place you look, there's something, Figma, and it's just so incredibly well done. Yeah, and this is one of the experiences I've had with Figma, you know, dating back to when we first invested seven years ago was it's a company that's overnight success.
Starting point is 01:05:33 It's a company that's always had extraordinary attention to detail. And, you know, it shows up when you do an all hands at their office. The S-1? The board slides, the S-1, config the conference. And how they applied that attention to detail to the NISI is incredible because, you know, there's applying the attention to detail and then realizing all the things you can do in terms of the signs on the ground and the party outside. They just had an unbelievable job.
Starting point is 01:05:57 They have to be doing things that haven't been done before. Yeah. I mean, I think the takeover outside was like breathtaking. And I'm obviously very biased because I see the typical logo. I get very excited. Yeah. Did you see the road show? Did you go to any of the road show?
Starting point is 01:06:09 I heard there was like a long product demo there, which is kind of uncommon. Yeah, so I think it's, I think it's true for, you know, many CEOs, but especially for Dylan. Like, Dylan cares a lot about the product. And it's important that everybody who is considering investing in the company really knows what figment, not just what figment stands for and design and creativity and all the things you see. But really how the product works. And it was not a five-minute fly-by, you know, look at the cool, you know, shiny features. The product demo was, you know, they were in the weeds.
Starting point is 01:06:42 It was, yeah, I was, I in fact uncovered parts of the product I didn't know existed. But it was good. I think it's important. Again, like part of, you know, that's who Dylan is, right? He actually cares so deeply about every single pixel and every single feature. And then that shows through. How early did you actually meet Dylan? Sarah Guo was posting earlier that pre-launched they were burning $800,000 a month,
Starting point is 01:07:07 which just sounds like that's the most nerve-wracking scenario for any, you know, a lot of We'll go through that at some point. But when did you realize what a special founder he was? Well, Dylan and Evan, by the way, I think just, I think it's a nice moment to take a pause and just give a shout to Evan Wallace. It's like an absolute legend. And I think the stories that people hear tell about Evan are just, you know, they'll go on. Chris, who's going to come on next, you know, is the Figma CTO.
Starting point is 01:07:35 He'll, I think, have a lot of, he'll tell you actually all the stuff Evan did in the code base, but allegedly it's insane. And, you know, well, and just going, like, taking another step back, people have, like, people love to use Figma as an example that it's okay to take a long time to ship your products. And I think most, like almost always when I hear a founder say, well, Figma took four years. I go, well, you're not Evan Wallace and you're not, like, fundamentally changing, you know, the way that, like, software works online. Yeah.
Starting point is 01:08:08 you're building enterprise workflows. You should probably ship next month. Yeah, the other thing about the, you know, you can take as long as you need, you know. Figma, there's this, there's something that Rolf talks a lot about for our business, which is the red queen dynamic. You have to run faster and faster just to stay in the same place. And I think in a world of accelerating technology change, like in order to win in your markets, you just have to run the company faster and do more.
Starting point is 01:08:37 and do more, and obviously, like, AI's allowing companies to do a lot more. Isn't the Red Queen race usually an anecdote of something you want to avoid getting into? Yeah, yeah, yeah. Well, that's just the truth of technology, I think. It's the truth of venture capital and the truth of enterprise software, business and business software, too. And if you look at how, you know, when Figma went from four products to eight products, I config, right? Like, the pace, and I think everyone who uses the product fuels it, like the pace is just picking up.
Starting point is 01:09:01 Yeah, we got a little preview of config, and I messaged Nairie. I was like, wait, all of your, you're announcing all of this, I could pick? Like, all four of these? It was like four major announcements. And that's what, that's what picking up the pace looks like and, like, finding that new gear. Yeah. How are you thinking about org design changing in the age of AI? This is something I've been talking to a lot of folks about.
Starting point is 01:09:27 There's taking, you know, designers and giving them the ability to ship code. They're kind of this flip from going from a zero-x engineer, a designer to a one-x engineer. Yeah. And that gain can sometimes be better than taking a 10x engineer and making them a little bit better because you just unlock this new capability. How are you thinking about companies just broadly thinking about AI as a product vertical that is its own silo versus something that infuses the whole company? What are you hearing? What are you seeing? I've been thinking about that question a lot.
Starting point is 01:09:56 The way I kind of craft the archetype would be the creative technologist. And I think in the same way that all of us are capable of scribbling something on a piece of paper when we're, board in a meeting. I think similarly all of us are going to be capable of creating something on the internet. It's actually interactive. Exactly. And I think that has been happening for a while. I think it's picking up steam in an incredible pace. And I think this role of creative technologist, I think in big companies, they'll still probably have siloed engineering, product design, you know, marketing teams. I think in our small companies, like the founding, the founding engineers, founding teams, people are wearing a lot of hats, right,
Starting point is 01:10:34 and using tools like Figma to do everything from ideation to prompt something to iterate, get in hands of users, and to actually publish code. I think that, the small companies, I bet we leave the way. My buddy and Jensen said that when I was first pitching them, we weren't actually raising it. I didn't have a deck, and so I just was in Figma screen sharing,
Starting point is 01:10:54 showing them the product and showing them all the different ways that we were going to take it and things like that. And it's just, and again, that's just, just like evidence of Figma not being for designers. No. I never thought. I thought it was a tool for building things. Yeah, exactly.
Starting point is 01:11:08 Yeah. One dynamic Ben Thompson's been talking about is that as a public company, sometimes it can be easier to do M&A. Have you ever run into that in your career, just broadly of a company that, where that is an important factor in kind of their long term strategy? I've always, generally the meme has been like, stay private as long as possible, but you know,
Starting point is 01:11:31 there's a reason, companies go public. There are obviously tons of benefits, but what is the M&A dynamic in public and private markets right now? Yeah, I think the, you know, there's what you learn when you start out at Goldman Sachs. And it's, you know, it's, you have access to the capital markets. You can you have a public currency for MNA, you know, blah, blah, blah. You tell your story. For me, the, the, um, the, the reason why I'm so happy with the IPO timing today is coming off of config a few months ago and just like feeling the energy, you guys were there. Yeah. Yeah. You felt the energy. amongst the community, like the incredible community surrounding Figma.
Starting point is 01:12:07 And then being able to tell that story and all the stuff we're doing with our new product initiatives with AI and tell it to the broader world. And on the S1, we reported, I think, 13 million monthly active users, two thirds of which are not designers. And, you know, did you know, did you, did you, was that your guess early on? Did you, did you, did you fully see that the, that the TAM for this was not, not like how many designers are there and just like added up and multiply it. Did you imagine you believe that it could be used across?
Starting point is 01:12:39 Tim Expanders. It's similar to what I was saying with the, you know, I think the creative technologist archetype who's going to do a lot of things and eventually in 10 years the way that companies run their product engineering teams will probably look very different. I think similarly like there were, there were even, you know, predating our investment. There were definitely examples of teams that went all in on the Figma way, collaborative way of building products. And you had, you know, full product engineering design teams at small companies or even at mid-sized companies. I remember Airbnb and Square were in our portfolio,
Starting point is 01:13:10 and we talked to them before we invested. And they were, you know, early at pioneering this. You know, we're getting off of the drop-block length being sent around. We're, you know, we're going all in on, you know, working in Figma. And it turns out it was a much better way of shipping products if you wanted to ship really good products quickly. And therefore, the entire world seemingly changed its mind in a few years. I think similarly some small companies are going to pioneer new ways of doing things. They're going to move really fast. It's going to be obvious that there's like a new archetype emerging. I think many of those people are going to live in Figma. I think the most creative community on the internet today already exists in Figma.
Starting point is 01:13:48 I always it felt even I remember using it as a like a social app in the sense that like I would get I I would be late at night. I would open my laptop and I'd be like, oh, Brandon's up. I'd just go over to wherever he was designing. I'd be like, hey, what's up, dude? I'd just type of comment. And it was like this like, it was like almost like a lot of people built these in these like virtual offices, but like, yeah, MoMA was our virtual office.
Starting point is 01:14:13 Oh, that's interesting. Yeah. I would just be like, hey, what's up? Or I'd just like start, you know, I'd just mess with them and like change a button colors. Yeah. And the one thing I'm really excited about with the new products is, you know, they're both raising the ceiling of what it is possible to do. for the most creative people in Figma,
Starting point is 01:14:30 you know, like with, like, in a draw, for instance, right? Like, the ability to do, like, really interesting artistic creative work inside of Figma files, and also massively racing the floor for those of us who are, you know, more Excel-inclined in our, you know,
Starting point is 01:14:42 creative abilities. Cell-coded. Yeah, exactly, exactly. And I think it's so rare to find, like, technology shifts that allow companies to capture both of those things. Yeah. Usually there's a trade-off.
Starting point is 01:14:54 Yeah. And, yeah, it's really exciting. I mean, Excel kind of sort of, the same purpose but just decades ago, right? Totally. Yeah. Yeah. And similarly to the idea of, you know, Figma slides came out of this intuition or not even
Starting point is 01:15:04 intuition, just the reality that many people were torquing Figma files in the slide decks. Yeah, yeah, yeah. I had a, I had a file called deck formatting. Yeah. I've shared with probably hundreds of people at this point of like, this is how I build decks. Yeah. This is how I build fundraising decks. Here's like, you know, 50 examples for each page.
Starting point is 01:15:25 And I would just send it out to everyone. could just copy it and start working off of it. Like yeah, I mean that both sounds great. Yeah, it's great. We don't have to make many decks at TVPN. No, we should start. We should start making board decks just for each other. Yeah, we should.
Starting point is 01:15:39 Yeah, we should. Yeah. It'd be great. Last question, I think we'll let you go. I want to talk about the culture and hiring changes and just how going public changes any of that. How do you describe the culture of like someone who's a good fit to become a fig mate?
Starting point is 01:15:54 Ooh, that's a really good question. you know, when I was reflecting, as the series C leads. When I was reflecting on what I was going to tweet today, you know, because there's always a fine balance, right? Like, how do I tweet something to say congrats without doing the, you know, can you believe this amazing event? I kind of went into a very paranoid headspace of how do I get, you know, not end up in the wrong quadrant.
Starting point is 01:16:17 We just go too far. You're welcome. You said, congrats to the incredible figment team, the most creative, determined, imaginative, and positive group of people. I'm just so happy for all of your success. There we go. And I almost responded, our success. Yeah.
Starting point is 01:16:31 So those four adjectives, I think they are creative. I think I tried to pull off an analogy when I was talking to you guys at Config about how everybody, everybody who was at Config would be a good tattoo artist for my, my face painting artist for my daughter. And my brother said that was, that analogy did not land. They're very creative. I think they're extremely determined. I think, like, this is a company that, you know, wins. in the early days of burning however much money
Starting point is 01:16:57 they were burning a month and not having product market fit and grinding your way to market fit. And all the twists and turns over the last seven, eight years since they really started their ascent. But you still have the hardcore WebGL crew. Yeah. And that's like all, it's not like quite like foundation model level AI research, but it's like serious engineering.
Starting point is 01:17:13 It's a company that does hard things. They are not afraid of doing really hard things. I think they're imaginative. I think that's like, you know, the make believe billboard you see in San Francisco. It's a company that really does think out there. And I think Dylan, obviously, Dylan is on the bleeding edge of technology. And they're positive.
Starting point is 01:17:30 Like, they are just good human beings. And, you know, looking at, obviously, the reaction to the IPO is just, look around. These are awesome people who are so cool. The valedictorian of my high school works at Figma. Her name's Katie Zito. Amazing. A legend. A PM here.
Starting point is 01:17:46 She's literally like the smartest person I knew in high school. And how she builds products of Figma. And anyway, I'm just so happy with it. I really am happy for their success and your success. We're happy for your success. I didn't put it out, but yesterday we did the, we did it, meme with Ramp. Every person involved. Yeah, that was great.
Starting point is 01:18:06 But now Ramps congratulating Figma with the big billboard today. That was in the banner. You know they had that idea Monday. Yeah, on the phone with them. They were like, yeah, we think we might get a banner and like, because our office is right across the street from Figma's New York office. We should just hang it out. And it's like this like 40 by 40. It's unbelievable.
Starting point is 01:18:23 It looks like it's a Figma canvas. I will say the ramp thinking Figma with TBPN and the New York Stock Exchange today is a big day. Yeah, it's a big day for you guys. It's a big day. Yeah, it's a big day. Yeah, it's lovely having you. Yeah, thanks for being here.
Starting point is 01:18:35 Enjoy talking to everyone else. And obviously, I hope we'll see you later. I hope we'll see you later. That's be great. Congratulations on your success too. Congratulations. Let's give a little bit of coverage of updates on the Figma IPO. Oh, yeah.
Starting point is 01:18:48 Of course, there was a funny post in here from, Jawan. Okay. Jawan apparently got a offer back in 2019. Okay. Ooh. That's 3C territory. And he was going to get a base of 165K a year and 300,000 in Figma RSUs.
Starting point is 01:19:12 300,000 shares. And I guess by his calculation, it would have turned into 30 million. But the important thing, Jawan is now a, getting the the ability to spend his time automating finance. Yes. And certainly didn't pick a bad company to join on that front. Gary Tan says if you stick around in tech and you're good, sooner or later you start collecting these stories.
Starting point is 01:19:39 I think you remember Gary designed the Palantir logo back in the day. And I wonder if he held on. I don't know. Yeah. It's a trillion dollar company. More, Siki ran some numbers, Siki Chen said there's 10x returners, there's fund returners, and there's Figma. Figma alone returned 10X, the entire fund of not one, not two, but three VC funds.
Starting point is 01:20:05 So he pulls up index ventures, which made their initial investment out of a seed fund. It was a $4 million investment or $3.9 million out of a $400 million fund. and it is a 1,850x multiple. Was the multiple of fund on that? The fund multiple is 18x. Graylock who did this series A is sitting on an 11x fund. They did the series A out of a $600 million fund. KP, which did the series B,
Starting point is 01:20:40 is sitting on a 10x fund out of a $700 million fund, which is just wild. And then Sequoia will have returned one and a half X on a two and a half billion dollar fund. That's great. So just from that one deal. And there's other stuff in. And Gary chimes in says Grand Slam home run business. Yep.
Starting point is 01:21:06 Yep. It's not just a home run business. It's a grand slam home run business. Yeah. This is good advice for all the VCs out there. And just get one figma in your point. I noted this on the timeline yesterday, but we are retiring the gong. that we had at NICEY yesterday.
Starting point is 01:21:20 It's a game hit gong by none other than Dylan Field. So we still need to get him to sign it and date it, of course. But pretty, pretty wild. Delian says, greatest capital markets on earth, greatest country on earth and throws up not one, but three American flags quoting signals. Signals posts. He said nothing hits like an IPO in America.
Starting point is 01:21:48 It's the most iconic cultural moment that's relatively infrequent. The most beautiful part about it is that only here does a company going public trigger a national feedback loop of inspiration. Kids watch it, builders feel it, and the next gen catches fire. Nowhere else turns liquidity into legacy. So. Signalize such a funny posting style. Very, very unique. Good job.
Starting point is 01:22:12 And yeah, pretty, pretty insane.

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