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The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

Change how you look at unsold inventory in this episode with Amrita Bhasin of Sotira, joining the show to break down how poor inventory forecasting is crushing CPG brands, why nearly a quarter of all retail and e-commerce inventory never sells, and how excess inventory liquidation has become one of the biggest supply chain challenges today! We dive deeper into how Sotira is using AI to power a tech-driven reverse logistics marketplace that connects sellers, buyers, and donation partners while protecting brand equity, enforcing expiration and regional compliance laws, and improving recovery rates, how integrated freight optimization APIs help control transportation costs, why mismanaged forecasting leads to millions in deadstock, and how smarter liquidation strategies can reduce waste, unlock tax benefits, and keep inventory moving.   About Amrita Bhasin Amrita Bhasin is the co-founder and CEO of Sotira, an award winning reverse logistics company that enables retailers, manufacturers and brands to discreetly monetize and donate unsold inventory.  Amrita was named to the 2026 Forbes 30 under 30 list and the 2025 Mayfield AI List. Amrita has been invited to speak on national and international broadcast networks including CBS, Fox, ABC, Scripps, and CGTN and has been profiled in Forbes, TechCrunch, and Business Insider. She is regularly quoted as an expert by leading publications such as Reuters, Bloomberg, Wired, Fortune, CNBC, Glossy, Huffington Post, Sourcing Journal, Reader's Digest, Modern Retail, AP, Yahoo Finance, and FreightWaves. Amrita has spoken about reverse logistics at leading conferences and trade shows such as TechCrunch Disrupt 2024, Home Delivery World 2025, HumanX 2025, ReTHINK Retail 2025 and Groceryshop 2025. Amrita was a delegate speaker at the 2025 One Young World Summit in Munich, Germany. She is an upcoming speaker at Manifest 2026 and Food Waste Summit 2026.  Amrita was a 1st place winner at Shoptalk 2025 and 1st place winner at Reverse Logistics Conference and Expo 2025. Amrita has been recognized by the State of California and Stop Waste for contributions to reducing enterprise waste via reverse logistics automation.   Connect with Amrita LinkedIn: https://www.linkedin.com/in/amrita-bhasin/  Website: https://www.sotira.co/  Email: amrita@sotira.co  

welcome to wall-e's tech briefing for thursday, november 27th! dive into today's pressing tech discussions: legal challenges for openai: openai is facing a lawsuit from the raine family, linking chatgpt to their son's suicide. openai defends the platform, citing its safety features and the importance of responsible use in mental health contexts. techcrunch disrupt 2026: preparations are underway for this major event, with the waitlist now open. expect insights from leaders of tech giants like google cloud and netflix, with over 250 industry experts to participate. ai funding trends: consistent mega-rounds are observed in 2025, mirroring last year. top fundraisers such as anysphere and reflection ai continue to garner significant investments, driving ai advancements. gm's executive reshuffle: gm undergoes a significant leadership change within its software team, losing three top executives. this restructuring aligns with gm's strategy to integrate hardware, software, and ai for future vehicle innovations. stay tuned for tomorrow's tech updates!

Colin Fowler and guest host, Ben Brokesh, visit TechCrunch Disrupt 2025. Listen in as they meet with some of the foremost startup entrepreneurs.  Timestamps:3:24 – HyWatts (Sam Ruben, CBDO and Co-Founder): Delivers clean, modular energy systems that turn renewable power into reliable electricity. 14:23 – Tesollo (Youngjin Kim, President and CEO; Wooseok Ryu, CTO): Solves complex problems and creates new value for their customers through advanced robotic automation solutions utilizing robotic grippers. 19:46 – Carbon Native Solutions (Keith Crossland, CEO): Invented a new class of multi-objective AI that transforms local industrial waste and minerals into high-performance, carbon-negative cement materials using standard equipment. 29:23 – Steg.AI (Eric Wengrowski, CEO): Trains in-house deep learning models for watermarking and poisoning for use through APIs, web applications, and third-party integrations. 41:27 – Ascender Systems (Jorge Muniz, Co-Founder and CEO): Patented a climbing robot that can scale utility/light/flag poles, pipes, and columns of varying shapes from 3 inches to 22 inches. 49:49 – Ponderosa.ai (Scott Benson, Founding Software Engineer): Develops cost-effective AI-enabled fire suppression drone swarms that can be broadly distributed and prepositioned in areas of high risk.

Aujourd'hui dans Silicon Carne, on parle de :

Recorded live in San Francisco during TechCrunch Disrupt 2025 week, this Fund/Build/Scale session brings together Cyan Banister (Long Journey Ventures) and Cristian Cibils Bernardes (Autograph) for a practical look at building consumer AI and the investor-founder dynamics that make it work. We dig into pre-traction signals that actually predict momentum, how to validate a weird idea, raise smart money, and ship products people return to. Cristian shares Autograph's first moment of value, retention indicators, and a trust-by-design stance; Cyan unpacks the decision rules and behaviors that earn a second meeting. Together, they outline small-budget experiments and the frameworks they use to create products that stick. For first-time founders and early operators, this episode delivers concrete steps you can start taking tomorrow. Thanks very much to Jenna Birch and the team at SISU for co-hosting and making this live recording possible! EPISODE BREAKDOWN (1:54) Why Cristian named Autograph's AI agent “Walter.” (3:37) When they connected, Cristian saw “a bunch of synchronicities along the way that just kept pointing in this direction.” (4:59) Cyan: “When he showed up and we were sitting together having coffee, I immediately was like, ‘yes.'” (6:03) The sheer number of coincidences linking these two is unsettling — “quantum entanglement” comes to mind. (8:18) Cristian and Cyan share their non-consensus takes on consumer AI. (10:53) Cyan describes the framework she's using to assess early signals as an investor. (12:51) “I will not look at your résumé. I won't look at what you did. Whatever you tell me in that interview is what I'm going to go off of.” (14:42) “Fundraising is grueling. It was 50 conversations before I met Cyan, and then I had, I think, another 30.” (16:53) Cyan's framework for backing vs. passing. (18:26) The three essential ingredients Long Journey Ventures seeks in founders. (22:00) What a “magically weird” founder looks like — and why they're so valuable. (26:15) A red flag that ensures you won't get a second meeting with Cyan. (27:52) A behavior that virtually guarantees a second meeting. (29:45) Cristian describes Autograph's moat. (34:40) “This whole thing doesn't work if the trust element isn't there.” (38:08) What founder-investor fit looks like in their working relationship. (41:57) One experiment founders should run this week. (43:10) The most underrated founder superpower. (44:10) “If you were interviewing for a job at an early-stage startup, what's one question you'd have to ask the CEO before you could take the offer?” RUNTIME 47:19 LINKS Cristian Cibils Bernardes Cyan Banister Autograph Long Journey Ventures The Ugly Duckling SISU SUBSCRIBE

Want Matt's favorite AI tools + playbook? Get it here: https://clickhubspot.com/vgb Episode 83: Are Adobe's new AI tools the future of creative work, or could generative models spell the end for legacy platforms like Photoshop? Matt Wolfe (https://x.com/mreflow) is joined by Matthew Berman (https://x.com/MatthewBerman), creator of Forward Future and a leading voice covering the front lines of artificial intelligence, from major tech events like Dreamforce to hands-on interviews with the innovators shaping tomorrow. In this episode, Matt and Matthew break down the biggest headlines from the week in AI: Adobe's conversational assistant and existential business challenges, Nvidia's mind-bending new investments and political maneuvering, OpenAI's bold timeline to build a self-improving AI researcher, and the viral Neo Humanoid robot—are we ready to trust a home robot with our privacy? Packed with fresh takes, inside scoops, and speculative predictions, this fast-moving conversation is your front row seat to the unfolding era of AI and robotics. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI Insights and Future Predictions (03:41) Photoshop Adds AI Chat Assistant (08:08) Adobe, AI, and Creative Future (10:26) Adobe's AI Future Concerns (15:53) Nvidia GTC Highlights (17:23) Nvidia's Investment Cycle Explained (20:23) AI Investment: Over-Investing Now (26:06) Automated AI Researcher Timeline (29:00) AGI vs Self-Improving AI (30:47) AGI Verification Panel Announced (36:04) First US Humanoid Robot Launch (39:18) Robot Tasks: Autonomy vs. Operators (41:50) Affordable Car with Practical Benefits (44:07) Future Live Streams Enthusiasm — Mentions: Matthew Berman: https://www.linkedin.com/in/matthewberman Forward Future: https://www.forwardfuture.ai/ TechCrunch Disrupt: https://techcrunch.com/events/tc-disrupt-2025/ Nano Banana: https://nanobanana.ai/ Nvidia GTC: https://www.nvidia.com/gtc/ Neo Humanoid Robot: https://www.1x.tech/order Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

In Case You Missed It: TechCrunch Disrupt 2025 Review Welcome to our latest episode — a deep dive into TechCrunch Disrupt 2025, the global gathering where the next decade of innovation begins. If you're a founder, investor, or simply curious about how technology is reshaping the real world, this one's for you. Disrupt isn't just another conference — it's where vision meets execution, and where new industries are quietly being built. This year, the spotlight shifted from hype to hardware, from theory to traction. We'll unpack the rise of Glīd, the logistics startup reinventing freight movement; Nephrogen, blending AI and gene therapy; and bold predictions from Zoom's Eric Yuan, who believes AI could soon redefine the workweek itself. We'll also explore how the event's new Going Public Stage revealed the real playbook for scaling — and why Asia's innovators, from Taiwan to Japan, are finding their global footing right here in San Francisco. By the end of this episode, you'll understand not only what happened at Disrupt, but why it matters to you — how these shifts in AI, logistics, biotech, and hardware signal where the next opportunities are emerging. So grab your headphones, and join us as we decode the conversations shaping the future of startups, capital, and technology itself. Powered by Firstory Hosting

Brynn Putnam is the founder of innovative tech companies Mirror and Board. Before entering the tech space, she spent her first life as a professional ballerina. In between performing with big productions and studying at Harvard University, she taught fitness classes on the side to make ends meet. Her side hustle became her full-time one after college when she started her own fitness boutique in New York. Putnam's pivot into the fitness space would then lead her to tech with her invention of Mirror, a high-tech piece of equipment that could seamlessly bring personalized fitness classes directly into your home. When she launched Mirror in 2019, it was a huge hit—especially during the pandemic when folks were confined to their homes during lockdown. Her company saw so much success that she soon sold it to Lululemon in a deal valued at $500 million. Now, after establishing herself as a tech pioneer, Putnam is onto her next venture in the space—this time with Board, an innovative, first-of-its-kind product that blends the magic of video games with the feel of board games. It also just launched at TechCrunch Disrupt today.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

TechCrunch Disrupt 2025 will take place in San Francisco from October 27 to 29, drawing over 10,000 founders, investors, and industry leaders to examine whether Silicon Valley remains essential for startup success. The event will feature a panel on the Builders Stage with Anh-Tho Chuong of Lago, David Hall of Revolution's Rise of the Rest Seed Fund, and Heather Doshay of SignalFire, who will discuss the impact of distributed teams, remote collaboration, and global fundraising on startup growth and opportunity in 2025.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

TechCrunch Disrupt 2025 in San Francisco features an AI Defense panel with leaders from DARPA, Point72 Ventures, and the Department of the Navy who address how artificial intelligence is impacting national security, defense strategies, and critical infrastructure. The panel covers the rapid advancement of AI, its integration into defense and intelligence operations, the role of startups in defense innovation, and the importance of collaboration between public and private sectors to maintain technological leadership and address emerging security challenges.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Charles Hudson of Precursor Ventures and Navin Chaddha of Mayfield will speak at TechCrunch Disrupt 2025 in San Francisco, focusing on how early-stage investors evaluate and fund founders before a product exists. They will outline the importance of founder narrative, adaptability, and mission-driven values, and will identify common mistakes and red flags in early-stage fundraising. The session aims to provide actionable guidance for entrepreneurs seeking their first institutional investment.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Isabelle is the Head of the Startup Battlefield Program at TechCrunch, where she leads the sourcing and selection of 200 game-changing, early-stage companies each year to showcase at TechCrunch Disrupt. Before this, she managed a global startup accelerator, helping hundreds of startups from countries like Japan, South Korea, Italy, and Spain expand to the U.S. Isabelle is passionate about supporting women founders and was recognized by the World Trade Organization for launching an accelerator program that brought women entrepreneurs from Spain to the U.S., winning the International Prize for Gender Equality in Trade. In this episode, you'll hear about: Behind the scenes with Isabelle Johannessen, head of TechCrunch Startup Battlefield, exploring the selection of 200 innovative startups for TechCrunch Disrupt. Insights into the rigorous selection process and the global reach of the program, emphasizing diversity with nearly 50% international founders. The evolution of Startup Battlefield from Battlefield 20 to featuring 200 startups, showcasing groundbreaking innovations. The importance of perfecting pitch presentations, leveraging AI, and engaging with top-tier VC judges. Tips for startup applications, focusing on progress towards KPIs, realistic business models, and market readiness. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Supporting Resources: Linkedin - https://www.linkedin.com/in/isabelle-johannessen/ Website - https://techcrunch.com/apply Alcorn Immigration Law: Subscribe to the monthly Alcorn newsletter Sophie Alcorn Podcast: Episode 16: E-2 Visa for Founders and Employees Episode 19: Australian Visas Including E-3 Episode 20: TN Visas and Status for Canadian and Mexican Citizens Immigration Options for Talent, Investors, and Founders Immigration Law for Tech Startups eBook

David Rose is the CEO of US Expansion Partners, a firm that helps European venture-backed tech companies expand into the US. With over 20 years of leadership experience, he has served as CEO three times and participated in five venture-backed startups, achieving four successful exits. David Rose has pitched at Google Demo Day, Silicon Valley Open Doors, and TechCrunch Disrupt. He holds a degree in economics from the University of Tennessee and an MBA from the University of North Carolina's Kenan-Flagler Business School. In this episode… Raising venture capital is a daunting challenge, especially for founders outside major tech hubs like Silicon Valley. Many struggle to connect with the right investors, facing rejection after rejection, often without understanding why. How can entrepreneurs improve their chances of securing funding and avoid common pitfalls in the fundraising process? David Rose, an experienced startup leader and investor, shares key strategies for targeting the right investors and making meaningful connections. He emphasizes the importance of aligning with an investor's thesis, securing warm introductions through other founders, and refining the pitch to stand out in competitive funding environments. David also warns against tranche deals, which can leave startups vulnerable, and stresses the need for persistence, as it often takes hearing 100 no's before receiving a term sheet. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews David Rose, CEO of US Expansion Partners, about how founders can successfully navigate the fundraising landscape. David shares insights on building investor relationships, overcoming geographic barriers, and leveraging pitch competitions. He also discusses the role of AI in streamlining outreach, lessons from bootstrapping after working in a Fortune 500, and why persistence is key to startup success.

In this episode, Valentina Agudelo Vargas, CEO of Salva Health and winner of TechCrunch Disrupt, discusses her journey of scaling a health tech startup while managing distributed teams. She shares valuable insights on the challenges of maintaining a unified culture, fostering communication across different cities, and overcoming the complexities of managing diverse teams. As a leader, Valentina emphasizes the importance of team alignment, executive coaching, and establishing clear communication channels to drive success. Take 5 seconds and sign up for my free newsletter:https://www.cpoplaybook.com/newsletter. You'll get a short email from me with exclusive insights, expert tips, and actionable advice from top business leaders on how to transform your people strategy, and more. SHOW INSIGHTS: https://www.cpoplaybook.com/podcast/tech-crunch-disrupt-winner-CEO-executive-coaching CONTACT US: Share feedback: https://forms.gle/jBoWh8RmLph5Lo3H7 Sponsor us: https://forms.gle/d8Cb3hMM6LQ4cQdL8 Executive coaching or consulting services: https://www.cpoplaybook.com/contact-us Request Felicia as a Speaker: https://forms.gle/KaGQBtAzTv9tCYcM7 CHAPTERS 00:00 Navigating Rapid Growth Challenges 08:33 Cultural Divergence and Team Dynamics 12:14 Communication Gaps and Team Alignment 17:49 Exploring Solutions for Team Cohesion 22:48 Implementing Collaborative Structures 27:45 Performance Management and OKRs 32:32 Measuring Success and Feedback Mechanisms SUBSCRIBE: https://www.youtube.com/@feliciashakiba?sub_confirmation=1 ABOUT FELICIA SHAKIBA: Felicia Shakiba, CEO and Podcast Host at CPO PLAYBOOK, is an executive coach with over 20 years in people strategy, impacting over 200,000 employees globally. She is a Harvard Business Review Council Member, Studied at Stanford Graduate School of Business, and advises organizations in tech, healthcare, life sciences, finance, and more. Her podcast is a top ranking show worldwide. PODCAST LINKS: Website: https://www.cpoplaybook.com/podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/cpo-playbook-with-felicia-shakiba/id1692423879 Spotify: https://open.spotify.com/show/1wTqXXnFfD6vWaitS8iYBe RSS: https://feeds.megaphone.fm/cpoplaybook Podcast Playlist:  https://www.youtube.com/playlist?list=PL0TewOJ3vwWFnPO_6cPX-EvNgYbn4cQXz CONNECT WITH FELICIA SHAKIBA: LinkedIn: https://www.linkedin.com/in/feliciashakiba YouTube: https://www.youtube.com/@feliciashakiba X: https://x.com/FeliciaShakiba Instagram: https://www.instagram.com/feliciashakiba/ TikTok: https://www.tiktok.com/@feliciashakiba Facebook: https://www.facebook.com/cpoplaybook

Drew Houston is the co-founder and CEO of Dropbox. Under his leadership, Dropbox has grown from a simple idea to a service used by over 700 million registered users globally, with a valuation exceeding $9 billion. Drew has led Dropbox through multiple phases, from explosive viral growth, to battling all the tech giants at once, to reinventing the company for the future of work. In our conversation, he opens up about:• The three eras of Dropbox's growth and evolution• The challenges he's faced over the past 18 years• What he learned about himself• How he's been able to manage his psychology as a founder• The importance of maintaining your learning curve• Finding purpose beyond metrics and growth• The micro, macro, and meta aspects of building companies• Much more—Brought to you by:• Paragon—Ship every SaaS integration your customers want• Explo—Embed customer-facing analytics in your product• Vanta—Automate compliance. Simplify security—Find the transcript at: https://www.lennysnewsletter.com/p/behind-the-founder-drew-houston-dropbox—Where to find Drew Houston:• X: https://x.com/drewhouston• LinkedIn: https://www.linkedin.com/in/drewhouston/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Drew and Dropbox(04:44) The three eras of Dropbox(07:53) The first era: Viral growth and early success(14:19) The second era: Challenges and competition(20:49) Strategic shifts and refocusing(29:36) Personal reflections and leadership lessons(40:19) Unlocking mindfulness and building support systems(43:14) The Enneagram test(50:35) The challenges of being a founder CEO(58:11) The third era: Rebooting the team and core business(01:22:41) Lessons and advice for aspiring founders(01:27:46) Balancing personal and professional growth(01:42:38) Final reflections and future outlook—Referenced:• Dropbox: https://www.dropbox.com/• Y Combinator: https://www.ycombinator.com/• Paul Graham's website: https://www.paulgraham.com/• Hacker News: https://news.ycombinator.com/• Arash Ferdowsi on LinkedIn: https://www.linkedin.com/in/arashferdowsi/• Sequoia Capital: https://www.sequoiacap.com/• Pejman Nozad on LinkedIn: https://www.linkedin.com/in/pejman/• Mike Moritz on LinkedIn: https://www.linkedin.com/in/michaelmoritz/• TechCrunch Disrupt: https://techcrunch.com/events/tc-disrupt-2024/• Dropbox viral demo: https://youtu.be/7QmCUDHpNzE• Digg: https://digg.com/• Reddit: https://www.reddit.com/• Hadi and Ali Partovi: https://www.partovi.org/• Zynga: https://www.zynga.com/• Steve Jobs announces Apple's iCloud: https://www.youtube.com/watch?v=ilnfUa_-Rbc• Dropbox Carousel: https://en.wikipedia.org/wiki/Dropbox_Carousel• Dropbox Is Buying Mega-Hyped Email Startup Mailbox: https://www.businessinsider.com/dropbox-is-buying-mega-hyped-email-startup-mailbox-2013-3• 5 essential questions to craft a winning strategy | Roger Martin (author, advisor, speaker): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-strategy-roger-martin• Intel: https://www.intel.com/• Gordon Moore: https://en.wikipedia.org/wiki/Gordon_Moore• Netscape: https://en.wikipedia.org/wiki/Netscape• Myspace: https://en.wikipedia.org/wiki/Myspace• Bill Campbell: https://en.wikipedia.org/wiki/Bill_Campbell_(business_executive)• Enneagram type descriptions: https://www.enneagraminstitute.com/type-descriptions/• The Myers-Briggs Type Indicator: https://www.themyersbriggs.com/en-US/Products-and-Services/Myers-Briggs• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Ben Horowitz on X: https://x.com/bhorowitz• Why Read Peter Drucker?: https://hbr.org/2009/11/why-read-peter-drucker• GitLab: https://about.gitlab.com/• Automattic: https://automattic.com/• Dropbox Dash: https://www.dash.dropbox.com/• Welcome Command E to Dropbox: https://blog.dropbox.com/topics/company/welcome-command-e-to-dropbox-• StarCraft: https://en.wikipedia.org/wiki/StarCraft_(video_game)• Procter & Gamble and the Beauty of Small Wins: https://hbr.org/2009/10/the-beauty-of-small-wins• Teaching Smart People How to Learn: https://hbr.org/1991/05/teaching-smart-people-how-to-learn—Recommended books:• Guerrilla Marketing: Easy and Inexpensive Strategies for Making Big Profits from Your Small Business: https://www.amazon.com/Guerilla-Marketing-Inexpensive-Strategies-Business/dp/0618785914• Playing to Win: How Strategy Really Works: https://www.amazon.com/Playing-Win-Strategy-Really-Works/dp/142218739X• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884/• Only the Paranoid Survive: How to Exploit the Crisis Points That Challenge Every Company: https://www.amazon.com/Only-Paranoid-Survive-Exploit-Challenge/dp/0385483821• Zone to Win: Organizing to Compete in an Age of Disruption: https://www.amazon.com/Zone-Win-Organizing-Compete-Disruption/dp/1682302113• Warren Buffett's books: https://www.amazon.com/warren-buffett-Books/s?k=warren+buffett&rh=n%3A283155• Poor Charlie's Almanack: The Essential Wit and Wisdom of Charles T. Munger: https://www.amazon.com/Poor-Charlies-Almanack-Essential-Charles/dp/1953953239• Invent and Wander: The Collected Writings of Jeff Bezos: https://www.amazon.com/Invent-Wander-Collected-Writings-Introduction/dp/1647820715/• The 15 Commitments of Conscious Leadership: A New Paradigm for Sustainable: https://www.amazon.com/15-Commitments-Conscious-Leadership-Sustainable-ebook/dp/B00R3MHWUE—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

Today on Equity, we're taking you on stage at TechCrunch Disrupt for Kirsten Korosec's conversation with Zoox co-founder and CEO Jesse Levinson. The pair discuss building custom robotaxis, how Zoox's approach compares to that of Tesla, and the 'current and future landscape' of AI on wheels. It's also worth noting that Amazon-owned Zoox recently scooped up some of Tesla's top talent, bringing on Zheng Gao late last month to lead hardware engineering. Equity will be back on Friday with a full CES recap, so don't miss it! Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes here. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. We'd also like to thank our illustrator, Bryce Durbin, and the TechCrunch audience development team.

For this week's episode, we're sharing a bonus conversation from backstage at this year's TechCrunch Disrupt. Tim De Chant talked with Areeb Malik, co-founder and CTO of Glacier; Allison Wolff, co-founder and CEO of Vibrant Planet, and Hyuk-Jeen Suh, co-founder of Venx and general partner at SkyRiver Ventures. On stage the panel discussed how a startup can balance doing good with delivering the financial returns they need to keep the lights on. They continue in that vein for this bonus conversation as they dive deep into how successful founder have built profitable companies that are good for the world.

At this year's TechCrunch Disrupt in San Francisco,  President and CEO of the Aerospace Corporation Steve Isakowitz and Agency Chief Technologist at NASA A.C. Charanya Charania took the stage to discuss a literal moonshot: how to build a thriving lunar ecosystem. Today on Equity, we're taking you behind the scenes of TechCrunch Disrupt once again, this time with Devin Coldewey at the helm. For those keeping track, Devin's kept the Equity podcast crew up to date on space startups over the past few months, including Starfish Space's $29 million round and, more recently, SpaceX's second commercial deal for the Starship lunar lander with Lunar Outpost.Listen to the full conversation to hear Devin and Steve Isakowitz discuss: What the path ahead looks like for space startupsThe shift away from government-dominated space programs to a more commercial landscapeAnd what's in store for Aerospace Corporation in 2025.Happy Thanksgiving to those who celebrate, and we'll be back on Friday for a special episode from our sister podcast, Found.Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Colin Fowler and guest host John Fuller visit TechCrunch Disrupt 2024. Listen in as they meet and mingle with the foremost startup entrepreneurs.2:12 Metal Light – is a clean-tech startup that advances metal-air technology and develops clean and sustainable power generators.9:50 BANF – is a Korea-based company that uses sensors to collect data on tire pressure, temperature, tread wear, wheel alignment, and even lug nut stability.17:36 Rarefied – is developing a novel propulsion mechanism that allows lightweight platforms to fly in near-space (30 km-100 km altitudes) using only sunlight.28:10 Tensor Tech – specializes in guidance, navigation, and control for satellites. 36:55 Solideon – is a manufacturing entity capable of crafting any aerospace vehicle.47:23 Witching Hour – creates low-cost, rapid, and effective forest fire mitigation technology, with the mission of ending forest fires.53:34 - SkiiMoo Tech – is the first ultra-humanistic prosthetic penis that can go from flaccid to erect at the push of a button via a smartphone or smartwatch.01:00 Posha – is transforming how the world eats healthy by building cooking robots for the home.

In this conversation I'm joined by Zumper Co-founder and CEO, Anthemos Georgiades. We discuss the evolving landscape of the rental market, highlighting the record supply of rental units in 2024 and the implications for renters and property management companies. I was excited to discuss the latest partnership between Zumper and Airbnb, exploring how this collaboration reflects the convergence of long-term and short-term rental markets. Anthemos has been in the trenches of this industry for quite a few years, stays in the data, and have some interesting outlooks for the industry to come. Do not miss this important episode! More about Anthemos and ZumperAfter standing in the rain in London to try and get an apartment in his 20s, Anthemos realized how antiquated yet massive the rental industry was. So, Zumper was founded in 2012 in San Francisco, kicking off at TechCrunch Disrupt, to modernize the rental industry and they are now the largest privately owned rental platform in North America. Zumper is the largest privately owned rental platform in North America with more than 76 million site visits a year. Zumper is on a mission to make renting a home as easy as booking a hotel. To date, Zumper has raised over $178 million from Kleiner Perkins, Goodwater Capital, Headline, Dawn Capital, and the Blackstone Group.Connect with Anthemos on LinkedInFollow Anthemos on TwitterFollow Zumper on TwitterCheck out Zumper

Today on Equity, we're taking you backstage at TechCrunch Disrupt. Rebecca Bellan caught up with  Rebecca Gevalt, Managing Partner at Dcode Capital following their onstage discussion about the boom in national interest startups. Also on the panel was Topher Haddad, CEO of satellite imagery startup Albedo, and Kai Klepfer, CEO of biometric gun startup Biofire. Tune in to hear Bellan and Gevalt dive deeper into how startups can get a foot in the door of government contracts. Check out the full onstage conversation here, and Equity will be back on Friday!Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast.   Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

This week we're taking you backstage at TechCrunch Disrupt. Becca Szkutak had the chance to talk with Dan Lorenc, the CEO and co-founder of cybersecurity startup Chainguard following their conversation on stage with prominent investors, The Chainsmokers. They discuss how the EDM duo's venture fund MANTIS went from being viewed skeptically by traditional VCs to becoming a highly sought-after investment partner in the B2B space, how Lorenc scaled the company in a difficult time for cybersecurity, and what value celebrity investors can add to a startup.Check out the full onstage conversation here.00:00 - Introduction02:27 - Chainguard: Company Overview and Open Source Security 05:27 - Google Background and Solar Winds Impact 08:02 - Building Chain Guard: Product Evolution 11:44 - Early Fundraising and Timing 12:53 - The Legendary Alex Pall Cold Emails 15:01 - MANTIS Investment Impact 16:11 - Company Growth and Future Plans 16:51 - Learning from Early Mistakes Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each Connect with us:On TwitterOn InstagramVia email: found@techcrunch.com

CareYaya, a platform that matches people who need caregivers with healthcare students, is working to disrupt the caregiving industry. The startup, which exhibited as part of the Battlefield 200 at TechCrunch Disrupt, is looking to enhance affordable in-home support, while also helping students prepare for their future healthcare careers. Learn more about your ad choices. Visit podcastchoices.com/adchoices

CoffeeSpace is on a mission to help people find partners for their startup ideas online. The startup, which exhibited as part of the Startup Battlefield 200 at TechCrunch Disrupt 2024, has launched a social networking app that matches people exploring startup ideas and looking for co-founders.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Many automakers have been shifting toward touchscreens embedded in their vehicles' dashboards and away from dedicated physical buttons. While it may enable more potential features, it could also make driving less safe and possibly more annoying. But one company makes it sound like touchscreens are here to stay, at least until the industry moves onto the new thing.Wassym Bensaid, chief software officer at EV maker Rivian, spoke this week at TechCrunch Disrupt 2024 and addressed in-vehicle buttons, calling them an “anomaly.”“It's a bug. It's not a feature,” he told the crowd. “Ideally, you would want to interact with your car through voice. The problem today is that most voice assistants are just broken.”Download and listen to the audio version below and click here to subscribe to the Today in Manufacturing podcast.

This was the week of Techcrunch Disrupt, one of San Francisco's biggest technology events of the year. That Was The Week publisher Keith Teare attended Disrupt this year and, as he explained in our weekly round up of tech news, the event - which was attended by over 10,000 people - only confirmed to him that we are living in profoundly disruptive technology times. And yet, as Keith and I discuss, the more things change in technology, the more things seem to stay the same in politics. So while AI is radically disrupting the world, next week's election is, essentially, a rerun of the Biden-Trump race from four years ago. So will new Silicon Valley technology ever successfully disrupt politics? Or will American tech and American politics continue to exist in surreally parallel universes?Keith Teare is the founder and CEO of SignalRank Corporation. Previously, he was executive chairman at Accelerated Digital Ventures Ltd., a U.K.-based global investment company focused on startups at all stages. Teare studied at the University of Kent and is the author of “The Easy Net Book” and “Under Siege.” He writes regularly for TechCrunch and publishes the “That Was The Week” newsletter.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

As the founder and CEO of Rocket Lab, Peter Beck is a familiar face to anyone in the space industry. But the company's ambitions go far beyond its popular Electron launch vehicle.Today, we're bringing you an interview from TechCrunch Disrupt when Devin Coldewey sat down with Beck to discuss his belief that to thrive, perhaps even to survive, space companies will have to become fully integrated one-stop shops.Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Space executives took the stage at TechCrunch Disrupt on Monday to talk about the challenges and opportunities of building out dual-use technology, or tech that has both a defense and a commercial use case.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

Say thanks and learn more about our podcast sponsor Omnisend. In this episode of The WP Minute, Brian Coords and I unpacked Matt Mullenweg's recent interview at TechCrunch Disrupt 2024 with Connie Loizos. What struck me most was how this wasn't just another tech conference appearance - it was a deep dive into the ongoing controversy between Automattic and WP Engine. The interview revealed several surprising details, including how Automattic was "kicked out" as an investor in WP Engine in 2018 during the Silver Lake acquisition, and the potential for this legal battle to stretch into 2026-2027.https://youtu.be/Bq_Gny09JzUConnie's interviewing style was refreshingly direct, pushing for clarity on issues that many in the WordPress community have been afraid to address. She repeatedly pressed Matt on the 8% revenue request and the criteria for determining when a company has crossed the line with trademark usage. While Matt was open about many aspects, some key questions remained unanswered, particularly about the specific threshold that would trigger similar actions against other WordPress-based businesses.Key Takeaways for WordPress Professionals:Be cautious with WordPress/WP branding in your business nameConsider your contribution strategy to the WordPress ecosystemStay aware of the distinction between wordpress.org and WordPress FoundationMonitor how this might affect plugin repository policiesKeep an eye on trademark usage guidelinesConsider diversifying your business strategy beyond WordPress-dependent brandingImportant URLs Mentioned:Matt Mullenweg: The Future of WordPress and the WebConnie LoizosBrian CoordsSupport WP MinuteSubscribe to our newsletter ★ Support this podcast ★

A new startup setting out to combat the scourge of deepfakes and spoofed evidence in the age of AI is showing off its wares on the Startup Battlefield stage at TechCrunch Disrupt 2024 this week. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A new startup setting out to combat the scourge of deepfakes and spoofed evidence in the age of AI is showing off its wares on the Startup Battlefield stage at TechCrunch Disrupt 2024 this week. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Equity crew was live at TechCrunch Disrupt 2024! Hosts Kirsten Korosec, Devin Coldewey and Margaux MacColl took over the Builders Stage to kick off day 2 of Disrupt with no shortage of conference highlights, startups deals and venture news to chew through.Listen to the full episode to hear about:Devin's plans to go to space thanks to his chat with Rocket Lab Founder Peter Beck.What Sierra, the AI startup co-founded by Bret Taylor, plans to do with its fresh $175 million funds.Waymo's who's who of Silicon Valley round, and why Kirsten's routing for the robotaxis over the competition.How General Catalyst is breaking down its latest fund and setting its sights on European startups.Equity will be back with a special interview episode on Friday, so stay tuned!Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Recorded live from TechCrunch Disrupt 2024, Found co-hosts Becca Szkutak and Dominic Davis sit down with Kai Kloepfer, CEO of Biofire, a smart gun company that aims to prevent firearm misuse. Kloepfer gets into the hurdles of building a hardware startup in the firearm industry from fundraising to building a reliable product. Please note this conversation deals with topics around gun violence and suicide.  Found posts every Tuesday. Subscribe on Apple, Spotify or wherever you listen to podcasts to be alerted when new episodes drop. Check out the other TechCrunch podcast: Equity . Subscribe to Found to hear more stories from founders each Connect with us:On TwitterOn InstagramVia email: found@techcrunch.com

It's no secret that Stripe has doubled down on its crypto offerings, enabling crypto purchases in the EU back in July and announcing a Pay with Crypto feature earlier this month. This week, the fintech giant made its dedication to crypto even clearer with its largest deal to date: its acquisition of stablecoin platform Bridge for an eye-popping $1.1 billion. Today on TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha and Devin Coldewey kicked off the show with their thoughts on the deal – mainly how surprising it is to see anyone spending over $1 billion on crypto in 2024.But of course, there was so much more startup and venture news for the crew to get into this week. Listen to the full episode for more about:Mobileye founder and CEO Amnon Shashua's latest startupA 3D metal printing startup's $14 million round from Boeing's AE Ventures and NvidiaAndreessen Horowitz's plans to provide its portfolio companies with Nvidia GPUsAnd who we're expecting to see at TechCrunch's Disrupt 2024.Equity will be live at Disrupt on Tuesday, so we'll see you there! Equity is TechCrunch's flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes over at Simplecast. Credits: Equity is produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Experiential and cognitive diversity help a team thrive. Specifically, an organizational culture that welcomes neurodivergent people limits groupthink risks and helps to foster innovation, translating into a competitive edge. To reap these benefits, companies are realizing they need to do more to both support their existing neurodivergent employees and recruit more.In this episode, author, cognitive scientist and neurodivergent business leader Maureen Dunne joins Wesley and Kim to discuss the benefits neurodiverse employees bring to the workplace and how leaders can build a culture that allows them to succeed. DR. MAUREEN DUNNE is a bestselling author, cognitive scientist, global keynote speaker, faculty member, board director, and neurodivergent business leader driving systems change in business, technology, education, and public policy.As CEO of Autism Community Ventures, a neurodiversity consultancy firm, Dr. Dunne has been retained by some of the world's top brands, Fortune 500 companies, leading start-ups, and global non-profit organizations as a neurodiversity expert and organizational change leader with over two decades of experience.Her work has been featured widely in major media, including Forbes, Bloomberg, MIT Sloan Management Review, Fast Company, Big Think, Armchair Expert with Dax Shepard, SHRM, TechCrunch, People Management Magazine, Chicago Tribune, DiversityQ, UNLEASH, Guy Kawasaki's Remarkable People, and Inside Higher Ed. Dr. Dunne has been a Keynote Speaker at the United Nations, Stanford University, London Tech Week, the National Science Foundation, and other prominent venues. She has also served as a featured speaker at The Atlantic Festival, the Global Education Summit, TechCrunch Disrupt, The Next Web Conference, Cornell University, Young Presidents' Organization (YPO), and LEGO Foundation.Maureen is also the author of the 2024 bestselling book, The Neurodiversity Edge. The Neurodiversity Edge made the USA Today National Bestseller List (Top 150 books across all genres), Barnes & Noble Top 100 Books, Porchlight Book Company's Business Book Bestseller List, as well as #1 New Bestseller in several categories on Amazon, including Human Resources and Personell Management, Business Diversity & Inclusion and Autism Spectrum Disorders. SHRM (Society for Human Resource Management) selected Dr. Dunne's book as one of twelve to feature on its recommended 2024 summer reading list. It was also selected as an Editor Pick at Audible to be featured during Neurodiversity Acceptance Month.She is the first community college graduate to be awarded the prestigious Rhodes Scholarship for study at New College, Oxford and is a former National Science Foundation Fellow. She currently serves as a faculty affiliate at the Discovery Partners Institute, a billion-dollar public/private partnership to drive economic development through business innovation and entrepreneurship and as an advisory board member at Cornell University. She is the former President of the Illinois Community College Trustees Association where she drove the legislative and policy agenda for the state of Illinois, the third largest community college system in the United States with 48 member colleges, serving over 700,000 students. At the national level, she represents the interests of more than 12 million students in the USA and beyond. In these leadership roles, she has driven real-world change in workforce development, education, and policy, paving new economic opportunity pathways for neurodivergent people around the world.She received joint BA/MA degrees from the University of Chicago, her MSc from the London School of Economics, and her doctorate from the University of Oxford, where she attended as a Rhodes Scholar.About Maureen Dunne

Neobanks are reshaping the banking sector with expanding membership and revenue. Notable neobank leaders, Jason Wilk of Dave and Colin Walsh of Varo Bank, will present at TechCrunch Disrupt 2024 in San Francisco. Dave Bank has 10 million members and reported $73.7 million in revenue for the first quarter, while Varo Bank serves 7 million members with revenues of approximately $129 million. The executives will explain their growth strategies in a competitive market and provide insights into their visions for digital banking. TechCrunch Disrupt 2024 will occur from October 28 to October 30 at the Moscone Center, attracting over 10,000 industry leaders to discuss trends such as AI, SaaS, and space.Learn more on this news visit us at: https://greyjournal.net/ Hosted on Acast. See acast.com/privacy for more information.

Stan Rapp is a Ukrainian product designer who currently resides in the US. With 15 years of experience in design, including a decade in design leadership roles, Stan is currently leading a mission-critical design team at Asana. Before Asana, Stan scaled design teams at the Chan Zuckerberg Initiative and Ford. Stan has won multiple design awards, including SF Design Week, TechCrunch Disrupt, Red Dot, and Innovation by Design from FastCompany. In this eye-opening episode of Nodes of Design, we dive deep into the world of workplace dynamics with Stan Rapp, a Ukrainian product designer leading mission-critical teams at Asana. With 15 years of experience and a track record of scaling design teams at major organizations, Stan offers invaluable insights on navigating power and politics at work. Discover: Strategies for effective conflict resolution Tips for navigating office politics while maintaining integrity Real-life stories of power dynamics in action The impact of company structure on team dynamics Future trends in workplace power structures with the rise of hybrid work and AI Whether you're a design professional, team leader, or anyone looking to advance their career, Stan's practical advice and personal experiences will equip you with the tools to thrive in today's complex work environments. Don't miss this candid discussion on the often unspoken realities of professional life. Get a Copy of the Nodes of Wisdom: Lesson from 100 Creative Visionaries on Amazon - https://amzn.in/d/02yZPlUj Thank you for listening to this episode of Nodes of Design. We hope you enjoy the Nodes of Design Podcast on your favorite podcast platforms- Apple Podcast, Spotify, Google Podcasts, Amazon Music, and many more. If this episode helped you understand and learn something new, please share and join the knowledge-sharing community Spreadknowledge. This podcast aims to make design education accessible to all. Nodes of Design is a non-profit and self-sponsored initiative by Tejj.

Manuela Seve is the CEO and co-founder of Alphaa.io, a Web3 company with a majority of female employees changing the way we think of asset ownership by connecting the physical and digital realms via blockchain certification.  Using Web3 to help brands build community and loyalty, her clients include major sports teams and fashion powerhouses. Brazilian-born and Los Angeles-based, Manuela has been a thought leader in the tech and collectibles sector for the past 8 years. She was named by Bloomberg in 2022 one of the top 100 influential Latinos worldwide, as well as 33 under 33 entrepreneurs in 2018. She has moderated and led panels on Web3 at major industry events including the Bushwick film festival, Stanford GSB, L'Attitude, NFT LA & NYC, and more. Her panel submission, “NFTs for Real World Problems,” won TechCrunch Disrupt's Audience Choice Award in 2022.

Today — ahead of the relaunch of our Wednesday episode that we discussed earlier this week — we have an interview to share featuring TechCrunch's very own Morgan Sung and Shruti Dwivedi, the co-founder and CEO of health-tech startup, Duly.Duly took part in TechCrunch Disrupt's 2023 Battlefield cohort, showing a global audience its contraceptive care platform that is initially targeted at the Indian market.Why India? The company cites a large, young population in the country with more than 700 million people under the age of 30. However, Duly also reports that fewer than 15% of Indians have access to sexual education. Even more, the startup notes that condom usage in the country is modest at best, and nearly half of young, unmarried women felt “judged when seeking contraception.”Put that all together, there's a massive market gap that Duly wants to bridge.Sexual wellness is not a small market, naturally, and other startups are active in the space. News broke late last year, for example, that Evofem Biosciences — which makes Phexxi, a non-hormonal contraceptive gel — found a buyer after financial struggles. Changes to American law regarding abortion make it clear that access to contraceptive care is critical for women around the world.A big thanks to Morgan for the interview, Mary Ann for the intro, and Theresa and Kell for the edit and production!For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more! Credits: Equity is hosted by Editor in Chief of TechCrunch+ Alex Wilhelm and TechCrunch Senior Reporter Mary Ann Azevedo. We are produced by Theresa Loconsolo with editing by Kell. Bryce Durbin is our Illustrator. We'd also like to thank the audience development team and Henry Pickavet, who manages TechCrunch audio products.

Episode 317 of The VentureFizz Podcast features Deon Nicholas, CEO & Co-Founder of Forethought. I was at a couple of networking events the other week and let's just say the word AI was brought up many, many times. Yes, we are in a major shift in terms of a tech platform, but doesn't it feel like some companies are forcing AI into their business model or solution… versus an organic solution. Well, this is not the case for Forethought where AI has been core to their platform since the beginning. Forethought is a leading Generative AI company providing customer service solutions that transform the customer experience. The company has raised over $92M in VC funding from top investors. In this episode of our podcast, we cover: * A discussion around AI and how it should be organically applied to a business and not forced. * Deon's background story including how he got involved in AI back in high school and getting his career started at Dropbox and Pure Storage. * The background story of Forethought and how they ended up pitching at and winning TechCrunch Disrupt. * How Forethought is disrupting the customer service industry and why AI as a solution makes sense. * The current state of the company and future outlook. * The importance of storytelling for raising capital, hiring, sales, etc. * And so much more.

Today, we're bringing you another conversation from TechCrunch Disrupt 2023, when Alex sat down with Serhii Bohoslovskyi, the founder of no-code app-builder Trible. Trible is a no-code software product that helps folks construct online courses. We love Disrupt because it gives us lots of room to chat with founders that we might otherwise have missed. We even had a dedicated podcasting area! Expect even more of this sort of chat in the future.Here's what we got into with Bohoslovskyi:The state of the creator economy now that the hype has somewhat worn off the product category. How are creators doing today?The use of no-code tooling today, and how it is received by non-technical creators.And the state of startups that have roots in Ukraine, given that the nation is currently defending itself from external invasion.Talking to founders never, ever gets boring. That's all for us today, and we'll be back on Friday! For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!

TechCrunch Disrupt hosted Ryan and a top-notch panel for a conversation on the increasing importance of commercial stakeholders in the exercise of military power in and from space. It features John Plumb, the first assistant secretary of defense for space policy; Mandy Vaughn, the CEO and founder of GXO, Inc.; and Gen. James H. Dickinson, the commander of U.S. Space Command. Listen to their discussion, which was recorded in September. Thanks to TechCrunch for allowing us to use this recording.  

Today on Equity, we're bringing you two bonus conversations all about sustainability in fashion from TechCrunch Disrupt 2023. First up you'll hear our very own Harri Weber sit down with three guests: Jim Ajioka from Colorifix, Beth Esponnette from unspun and Julie Willoughby from Circ. They are all powerhouses in sustainable fashion and they all happened to join Harri on the Sustainability Stage. Watch their full conversation here. In part two, we have a great conversation between TechCrunch's Morgan Sung and Jemima Bunbury from BLEND, a curated fashion app that is changing the way we shop online. BLEND uses AI-powered personalized recommendations to help customers quickly and easily find products that suit their style, size and budget. Their goal is to prevent impulse purchases, and of course, make it possible to stay trendy and shop sustainably.Here's what our guests are diving into:Fixing the fashion supply chain so all the materials are created in a sustainable wayHelping consumers find products that will lastEnticing larger brands to shift to sustainable practicesWhy a holistic approach to sustainable fashion is crucial when trying to eliminate waste in the industryThat's all for us today, but we'll catch up again on Monday!For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!

Meet Stan Rapp, a name in the design world who transitioned from being a self-taught designer to leading Enterprise Design at Asana. Before his current role, Stan shaped product design at the Chan Zuckerberg Initiative. On top of his design expertise, he's a certified coach and a recent graduate of UPenn's Executive Design Leadership program. Specializing in design strategy and co-creation, he's particularly interested in designing for emotions and behavior change. A native of Ukraine, now residing in the SF Bay Area, Stan has shared his insights at several notable conferences, including The Next Web and Adobe. He has also won awards from SF Design Week and TechCrunch Disrupt.

Equity is back from Disrupt and  fired up for the rest of the year. Here's what Alex got into today:Stocks are not peppy to start the week, while crypto prices have also moderated in recent days.Alex could not not talk about the Cisco-Splunk deal, mostly to promise that he'll finish that post today come hell or high water.The Amazon + Anthropic news is the biggest item of the day. A $1.25 billion deal that could stretch to $4 billion is no small fee. And with Google and Amazon and Anthropic tied up and Microsoft buddied to OpenAI we could be seeing big tech choosing sides in the LLM model war.Meta is building AI chatbots, while Apple is working to build more stuff in India.To close out, Correcto's neat round, and the finalists from Startup Battlefield 2023 — more on the winner of Battlefield here.For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!

The Equity crew is back with another live recording from the Moscone Center in San Francisco for TechCrunch Disrupt 2023. Alex, Kirsten and Becca sat down to recap a very busy (and dare we say successful) event, and walk through our favorite moments for the listeners who couldn't make it out this year.Here's what we got into:Providing early liquidity to founders and employeesWhat advice VCs are giving their early stage founders Why Cruise might join the call to ban human drivers in city centersAnd why Shaq can do whatever he wants.We recorded shortly before the winner of Startup Battlefield was announced, but you can get caught up on that here.Now, it's time to fly back home. Equity will be back to our regularly scheduled programing bright and early Monday morning! Talk then.For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!

We were live at TechCrunch Disrupt 2023! Yes, even though our dear friend and colleague Mary Ann had to handle a family emergency, the larger Equity family rallied to put on a rollicking early-morning show at the venue. From the Builders' stage where Alex had to introduce himself, Kirsten Korosec and Becca Szkutak rounded out our hosting crew and we had a blast.Here's the rundown:Instacart went public! Finally, at last, at long last, Instacart is a public company. It priced at $30, the top-end of its raised range, and then went on to trade higher. More here, but a solid result.Joby is all-in on the Buckeye state: What has batteries and goes straight up? EVTOLs, apparently, even if that acronym is a big of a mouthful. Kirsten reports that a TechCrunch scoop was born out when Joby picked Ohio for its manufacturing hub. A lot of state-derived help did not hurt, either.Eldertech is a growth market: Becca wanted to talk about her latest Deal Dive, which was all about getting senior citizens to move for. Exercise is a pretty massive hack for a healthy body and life. We also had to point out that a graying world means that elder tech is only seeing expanding TAM.Writer brings back nine-figure joy! And to close out, Alex wanted to riff on the latest Writer round, which is building a generative AI service for other companies. With some demonstrated traction, and a model that we think seems well rounded, Writer is one to watch.Whew! The Equity crew is all over Disrupt for the next few days so make sure to say hello!For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews foundersand more!

This week, we brought TechCrunch+ senior climate reporter Tim De Chant on to talk climate tech, hardware breakthroughs, and why we have a whole stage this year at Disrupt focused on sustainability.On that last point, perhaps you have gone outside recently. Extreme weather around the world, warming oceans, fires — it's a mess out there. That's the bad news. The good news is that a number of startups are working hard to build new technologies that could shoothe our struggling planet. And perhaps make a lot of money in the process.Here's what we got into on the show:Climate tech venture capital activity. Why aren't we seeing more capital despite some interesting activity.The question of fusion. Is it really around the corner (this time)?Why we're both excited about potential hardware breakthroughs, even if LK-99 was not the real deal.Dread about our changing world.Tim is not only a great journalist, he's also very good at the whole science thing, so he was a treat to talk to!We're back on Friday for our last recording before we're on stage at Disrupt! Talk soon.For episode transcripts and more, head to Equity's Simplecast website.Equity drops at 7 a.m. PT every Monday, Wednesday and Friday, so subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. TechCrunch also has a great show on crypto, a show that interviews founders and more!

➡️ Like The Podcast? Leave A Rating: https://ratethispodcast.com/successstory   ➡️ About The Guest⁣ Jager McConnell is the CEO of Crunchbase, a leading platform for discovering and connecting with the companies, people, and resources driving innovation. He has a proven track record of building and scaling high-growth technology businesses, with over 20 years of experience in the tech industry. Jager McConnell is the CEO of Crunchbase, the leading platform used by millions of entrepreneurs and investors looking to discover innovative companies and the people behind them. Jager joined Crunchbase after it spun out from AOL, a move that was announced at TechCrunch Disrupt in 2015. Prior to joining Crunchbase, Jager spent 11 years at Salesforce in various roles across sales, marketing, and product development. In his last role at Salesforce, Jager was VP of Product in the Sales Cloud, where he oversaw the core salesforce automation product line. Under Jager's leadership, Crunchbase has continued to grow and expand, with a strong focus on data quality and customer success. He is dedicated to helping startups and enterprises alike discover the most innovative and promising businesses and technologies in the market. ➡️ Show Links https://twitter.com/jagermcconnell/  https://www.linkedin.com/in/jager/  https://www.crunchbase.com/       ➡️ Podcast Sponsors HUBSPOT - http://hubspot.sjv.io/successstorypod/   ➡️ Talking Points⁣ 00:00 - Intro 01:32 - Jager McConnell's origin story 03:10 - Creativity's role in Jager's career 04:01 - Some startups Jager was involved in 07:01 - The reality of working in a startup 08:34 - Where did Jager have the biggest growth in his life? 11:34 - What is Jager doing at Crunchbase now? 16:55 - Building up the business model for Crunchbase 19:35 - Getting your first hundred customers 21:26 - Was the data at Crunchbase valuable enough for people to pay for at the beginning? 29:00 - Becoming the platform everyone wants to be represented on 35:13 - Keeping your data protected 38:24 - Choosing a business model around partnerships 41:22 - How to choose what to focus on next? 44:15 - Building a feedback loop 47:01 - Not believing in growth at all costs and building Crunchbase with that mindset? 50:40 - How does Jager McConnell manage investor expectations? 51:32 - Using your platform for good 57:31 - Where does Jager want to see Crunchbase in the future? 59:54 - Can a company that is a front-end system have no data in the back-end system? 1:01:24 - Jager's advice for success Learn more about your ad choices. Visit podcastchoices.com/adchoices