Podcast appearances and mentions of dharmesh shah

From a 350-square-foot home in South India to leading HubSpot, a $30B CRM powerhouse, Yamini Rangan's journey is nothing short of remarkable. In this episode, Yamini shares how she's guiding HubSpot through a post-pandemic shift toward product-led growth, the hard-won lessons behind building go-to-market alignment, and why human-centric leadership is her edge in an AI-first world. Plus, her take on why data is the new battleground in tech.Chapters: 00:00 Trailer00:52 Introduction02:22 Fire in my belly10:06 Constraints12:19 Peak performance16:38 Helping while in sheer panic21:43 The general ethos30:14 Customer value36:08 Excited and scared47:25 Becoming CEO54:19 Feeling behind1:01:51 Very lonely1:05:34 Losing credibility1:08:42 Slowing down, sitting still1:12:31 No patience to finish a book1:15:39 Who HubSpot is hiring1:15:54 What “grit” means to Yamini1:16:45 OutroMentioned in this episode: Sequoia Capital, Carl Pieri, Brian Halligan, Zoom Workplace, Meta Platforms, Google, Anthropic, Microsoft, Salesforce, Blockbuster Video, BlackBerry Limited, Axon Enterprise, Netflix, Snapchat, Harvey, Dharmesh Shah, Gödel, Escher, Bach: an Eternal Golden Braid, Sapiens: A Brief History of HumankindLinks:Connect with YaminiXLinkedInConnect with JoubinXLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins

Empowering Marketers with AI – Sam Mallikarjunan – agent.ai Discover how Sam Mallikarjunan, Growth Lead at agent.ai transitioned from being an AI skeptic to an advocate, and learn about the innovative platform that allows anyone to build and customize AI agents, regardless of their technical skills. Mike and Sam explore what AI agents are, share real-world examples of how marketers can use them for tasks like research and content creation, and discuss how AI is reshaping the future of marketing roles. About agent.ai Agent.ai is the #1 professional marketplace where users can build, discover, and deploy trustworthy AI agents that deliver real-world value. Founded in 2024 by Dharmesh Shah, co-founder and CTO of HubSpot, and led by Sam Mallikarjunan, Agent.ai empowers professionals to revolutionize their workflow across sales, marketing, and customer service through intelligent automation. Since its launch at HubSpot's INBOUND 2024, the platform has experienced explosive growth, amassing over 1.5 million users and hosting more than 1,200 public agents by early 2025. The platform distinguishes itself with its intuitive low-code agent builder, access to cutting-edge AI models, and a vibrant developer ecosystem. About Sam Mallikarjunan Sam Mallikarjunan is a growth strategist, entrepreneur, and the Growth Lead at agent.ai. He is the former CEO and co-founder of OneScreen.ai, a marketplace for out-of-home advertising, and previously served as Chief Revenue Officer at Flock.com and Head of Growth at HubSpot Labs, where he drove significant customer acquisition and revenue growth. Sam is a former professor at Harvard University, where he taught Advanced Digital Marketing and Innovation, and he currently shares his expertise as a LinkedIn Learning Instructor. He is also the co-author of the bestseller Inbound Commerce - How to Sell Better than Amazon and frequently offers insights on AI, marketing, and business strategy Time Stamps 00:00:18 - Guest Introduction: Sam Mallikarjanan from Agent.ai 00:01:41 - Overview of Agent.ai and Its Features 00:02:45 - Understanding AI Agents in Marketing 00:04:10 - Practical Applications of Agents for Marketers 00:10:34 - Target Audience: Individuals vs. Enterprises 00:12:57 - The Importance of AI Confidence in Marketing 00:17:27 - Future Changes in Marketing Roles Due to AI 00:19:59 - The Shift from Performance to Brand Marketing 00:22:44 - Best Marketing Advice Received by Sam 00:24:07 - Career Advice for Aspiring Marketers 00:27:15 - Conclusion and Closing Remarks Quotes "The more focused you try and make an AI, the more effective it's gonna be at whatever the task is that you're trying to have it do." Sam Mallikarjunan, Growth Lead at agent.ai "The biggest challenge is getting people to become AI curious and AI confident." Sam Mallikarjunan, Growth Lead at agent.ai "It was an interesting project because it's what helped turn me from an AI doomer into an AI boomer." Sam Mallikarjunan, Growth Lead at agent.ai   Follow Sam: Sam Mallikarjunan on LinkedIn: https://www.linkedin.com/in/mallikarjunan/ agent.ai's website: https://agent.ai/ agent.ai's on LinkedIn: https://www.linkedin.com/company/pulsar-platform/ Follow Mike: Mike Maynard on LinkedIn: https://www.linkedin.com/in/mikemaynard/ Napier website: https://www.napierb2b.com/ Napier LinkedIn: https://www.linkedin.com/company/napier-partnership-limited/   If you enjoyed this episode, be sure to subscribe to our podcast for more discussions about the latest in Marketing B2B Tech and connect with us on social media to stay updated on upcoming episodes. We'd also appreciate it if you could leave us a review on your favourite podcast platform. Want more? Check out Napier's other podcast - The Marketing Automation Moment: https://podcasts.apple.com/ua/podcast/the-marketing-automation-moment-podcast/id1659211547

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

Susan Cain, author of the groundbreaking bestseller Quiet: The Power of Introverts in a World That Can't Stop Talking, shares a guide for how introverts can thrive in the workplace without sacrificing their authentic selves. Drawing from her extensive research and personal experience, Cain offers a powerful reframing: success doesn't require becoming more extroverted—it demands becoming more fully yourself.—What you'll learn:1. A simple definition of introversion and how it differs from shyness—plus a simple two-question test to determine where you fall on the spectrum2. Five practical tactics introverts can use to be more successful in business while staying true to their natural temperament3. How to handle challenging workplace scenarios like meetings dominated by loud voices and networking events that drain your energy4. Specific strategies for managers and founders to create environments where introverted team members can contribute their best work5. Practical techniques for saying no to energy-draining commitments6. Strategies for managers to better support and leverage introverted team members7. Practical advice for raising introverted children to help them develop confidence while honoring their natural temperament8. Why seeking to become “more extroverted” is the wrong goal—and what to focus on instead to achieve professional success—Brought to you by:• Enterpret—Transform customer feedback into product growth• Vanta—Automate compliance. Simplify security• Fundrise Flagship Fund—Invest in $1.1 billion of real estate—Find the transcript at: https://www.lennysnewsletter.com/p/the-hidden-power-of-introverts-susan-cain—Where to find Susan Cain:• X: https://x.com/susancain• LinkedIn: https://www.linkedin.com/in/susancain/• Website: https://susancain.net/• Instagram: https://www.instagram.com/susancainauthor/#• Facebook: https://www.facebook.com/authorsusancain• Substack: https://substack.com/@susancain—In this episode, we cover:(00:00) Introduction to Susan Cain(05:07) Understanding introversion(08:55) The spectrum of introversion and extroversion(13:27) Overcoming public speaking anxiety(17:13) Learning to embrace your introverted self(23:16) The power of leaning into your strengths(24:36) Strategies for introverts to thrive in their career(34:06) The importance of saying no(38:35) What to do instead of networking(41:59) Effective meeting participation for introverts(47:31) Creating a productive work environment(51:14) Raising an introverted child(57:58) Finding the right career fit(01:08:09) Lightning round and final thoughts—Referenced:• The power of introverts: https://www.ted.com/talks/susan_cain_the_power_of_introverts• The hidden power of sad songs and rainy days: https://www.ted.com/talks/susan_cain_and_min_kym_the_hidden_power_of_sad_songs_and_rainy_days• Why bittersweet emotions underscore life's beauty: https://www.ted.com/talks/susan_cain_why_bittersweet_emotions_underscore_life_s_beauty• Desensitization: https://en.wikipedia.org/wiki/Desensitization_(psychology)• Malcolm Gladwell's website: https://www.gladwellbooks.com/• Warren Buffett on X: https://x.com/warrenbuffett• Dale Carnegie speaking courses: https://www.dalecarnegie.com/en/presentation-skills-public-speaking-training• Bill Gates on X: https://x.com/billgates• Kathy Fish on LinkedIn: https://www.linkedin.com/in/kathy-fish-23b5777/• Why most public speaking advice is wrong—and how to finally overcome your speaking anxiety | Tristan de Montebello (CEO & co-founder of Ultraspeaking): https://www.lennysnewsletter.com/p/master-public-speaking-tristan-de-montebello• Ultraspeaking: https://ultraspeaking.com/lenny/• Rethinking the Extraverted Sales Ideal: The Ambivert Advantage: https://faculty.wharton.upenn.edu/wp-content/uploads/2013/06/Grant_PsychScience2013.pdf• Cutco: https://www.cutco.com/• Tim Ferriss's post about his new book: https://x.com/tferriss/status/1878936085033791817•  Mihaly Csikszentmihalyi: https://en.wikipedia.org/wiki/Mihaly_Csikszentmihalyi• Naval on X: https://x.com/naval• On saying no: https://www.lennysnewsletter.com/p/how-to-say-no• Susan Cain—How to Overcome Fear and Embrace Creativity: https://tim.blog/2019/01/24/susan-cain/• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Renee Wood on LinkedIn: https://www.linkedin.com/in/recoale/• The Sopranos on Max: https://play.max.com/show/818c3d9d-1831-48a6-9583-0364a7f98453• The Talented Mr. Ripley on Prime Video: https://www.primevideo.com/detail/The-Talented-Mr-Ripley/0HA0GNFQ4ZXYPDNJHQEENK2Q6Q• Tugboat Institute: https://www.tugboatinstitute.com/• Leonard Cohen quote: https://www.goodreads.com/quotes/4484-there-is-a-crack-in-everything-that-s-how-the-light—Recommended books:• Quiet: The Power of Introverts in a World That Can't Stop Talking: https://www.amazon.com/Quiet-Power-Introverts-World-Talking/dp/0307352153• Creativity: Flow and the Psychology of Discovery and Invention: https://www.amazon.com/Creativity-Flow-Psychology-Discovery-Invention/dp/0062283251• Quiet Power: The Secret Strengths of Introverted Kids: https://www.amazon.com/Quiet-Power-Secret-Strengths-Introverted/dp/0147509920• Gandhi: An Autobiography—The Story of My Experiments with Truth: https://www.amazon.com/Gandhi-Autobiography-Story-Experiments-Truth/dp/0807059099• Flow: The Psychology of Optimal Experience: https://www.amazon.com/Flow-Psychology-Experience-Perennial-Classics/dp/0061339202• The Power of Myth: https://www.amazon.com/Power-Myth-Joseph-Campbell/dp/0385418868/• Bittersweet: How Sorrow and Longing Make Us Whole: https://www.amazon.com/Bittersweet-Oprahs-Book-Club-Longing/dp/0451499794• Good Energy: The Surprising Connection Between Metabolism and Limitless Health: https://www.amazon.com/Good-Energy-Surprising-Connection-Metabolism/dp/0593712641• The 5 Types of Wealth: A Transformative Guide to Design Your Dream Life: https://www.amazon.com/Types-Wealth-Transformative-Guide-Design/dp/059372318X—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

Ep. 292 Can you really do 10 hours of research in just 20 minutes? Kipp dives into how to leverage Google's AI tools to quickly gather and synthesize information. Learn more about the deep research capabilities of Google Gemini, the seamless integration with NotebookLM for organizing and querying your data, and the innovative new interactive audio feature for real-time, engaging learning.  Mentions Gemini https://gemini.google.com/ NotebookLM https://notebooklm.google/ Dharmesh Shah https://www.hubspot.com/company/management/dharmesh-shah Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

NVIDIA Mini AI Supercomputer, Microsoft's Small AI Model Breakthrough, and HubSpot's New AI Platform | Hashtag Trending In today's episode of Hashtag Trending, hosted by Jim Love, we delve into groundbreaking developments in AI technology. NVIDIA introduces Project Digits, a mini AI supercomputer with 1,000 teraflops of performance at an unprecedentedly low cost of $3,000. Microsoft reveals a new technique called R Star Math, proving that smaller AI models can outperform larger ones in math reasoning tasks. Lastly, HubSpot's co-founder, Dharmesh Shah, launches Agent AI, a platform for building and sharing AI task agents. Tune in to hear how these innovations are pushing the boundaries of AI computing. 00:00 Introduction and Today's Headlines 00:24 NVIDIA's Project Digits: A Mini AI Supercomputer 02:51 Microsoft's Breakthrough with Smaller AI Models 05:34 HubSpot Co-Founder's New AI Platform: Agent AI 07:03 Conclusion and Contact Information

Join us as Dharmesh Shah, Head of Technical Research at ICICI Direct, demystifies technical analysis for trading success. Learn about essential indicators, sentiment analysis, risk management, and avoiding common trading pitfalls. Your guide to smarter trading decisions! Brought to you by ICICI Direct and Moneycontrol. For more such content stay tuned: https://www.moneycontrol.com/msite/icici-direct-path-to-financial-freedom

Get our Business Monetization Playbook: https://clickhubspot.com/monetization Episode 655: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk to Dharmesh Shah ( https://x.com/dharmesh ) about how to increase the odds of hitting your first million and your next million.  — Show Notes:  (0:00) Intro (3:33) Lesson 1: Get leverage (9:26) Lesson 2: Be an asset, not a liability (13:40) Lesson 3: Get even closer to the value creation (19:42) Mini Masterclass on Power Negotiating (24:35) Dharmesh's little-known $2M failure (29:35) Lesson: Insight compression (34:08) Dharmesh sells Chat.com (41:06) Agents are the new apps (44:51) The future is hybrid teams (49:23) Agents Dharmesh uses today (53:20) Dharmesh's next big thing (1:02:58) Uncomfortable company values (1:05:33) Local maximum vs global maximum (1:06:57) RaaS: Results-as-a-Service (1:09:59) Being a first time billionaire — Links: • Agent AI - https://agent.ai/  • Harvey MacKay books - https://harveymackay.com/books/  • Getting To Yes - https://tinyurl.com/43ne6v97  • Connecting Dots - https://connectingdots.com/  • MFM Vault - https://frontend-production-f8b7.up.railway.app/  — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano

Episode 359 of The VentureFizz Podcast features Matt Douglas, Founder & CEO of Sincere. Boston has this legacy reputation that you can't build consumer companies in the area, yet there are so many great companies that have scaled like Wayfair, DraftKings, iRobot, SimpliSafe, and so… so… many more. Plus, don't get me started on how many brands, especially footwear, are located here. Anyway, Sincere is another example of a great consumer company at scale. It is highly likely that you've used one of their products like Punchbowl to plan a party, Timehop to relive past memories, or Memento, where you can collect and preserve memories together for a group video or photo album. Sincere's latest brand is Lovebird, a new platform for the wedding industry which is taking on The Knot and other outdated incumbents and as highlighted in this interview with Matt, there will be more coming from Sincere. In this podcast, we cover: * A discussion around the legacy of an entrepreneur and what led Matt down the path of starting a corporate foundation at Sincere for charitable initiatives. * Matt's background story, growing up with 5 brothers and how he started his entrepreneurial roots early on. * Getting his career started and how he became the youngest Product Manager at Adobe. * His brushes with tech luminaries like Steve Jobs, Bill Gates, Mark Zuckerberg, Alexis Ohanian, Justin Kan, and Dharmesh Shah. * The background story of Punchbowl and the three key characteristics he used for building a business. * Why the expansion into the wedding market with Lovebird made sense for the company and how they are differentiating themselves from the competitors. * Matt's philosophy around buying premium domains and a hint about his best 5 letter domain that is not even live yet. * And so much more.

Welcome back to another episode of the Niche Pursuits News Podcast! This week Spencer and Jared break down the latest news affecting SEOs and small publishers, they share their side hustle progress, and they talk about some weird niche sites for inspiration. They discuss Sam Altman's tweet - https://x.com/sama/status/1854238332534108188 They go over Dharmesh Shah's tweet - https://x.com/dharmesh/status/1854307883304792294 They talk about how AI Overviews is rolling out to more countries - https://searchengineland.com/google-expands-ai-overviews-to-over-100-countries-447832 They discuss how AI Overviews impacts publishers' traffic -  https://community.mariehaynes.com/posts/traffic-down-as-aios-launch-globally-forbes-seeing-declines-chatgpt-search-is-live They reveal that traffic is up for HCU-hit sites - https://www.google.com/url?q=https://www.seroundtable.com/google-helpful-content-update-recovery-data-38358.html&sa=D&source=docs&ust=1731069165137684&usg=AOvVaw1-h6THpgh8jvp1VR5d5YjX Spencer shares a weird political map - https://electoralvotemap.com/ Jared shares a calculator tool - https://charactercalculator.com/   Ready to join a niche publishing mastermind, and hear from industry experts each week?  Join the Niche Pursuits Community here: https://community.nichepursuits.com Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links?  Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative  

A tech regulation shakeup is on the way with President-elect Donald Trump set to take office in January. Trump has made it clear that he plans to dismantle Biden's AI policies on "day one," aligning himself with those who've pushed back against regulation. Today on TechCrunch's Equity podcast, hosts Kirsten Korosec, Devin Coldewey and Margaux MacColl  dove into what Trump's win could mean for AI policy and innovation moving forward.While AI is always on the mind these days, there was so much more startup and venture news for the Equity crew to get into this week. Listen to the full episode to hear about:OpenAI's acquisition of Chat.com, the domain previously acquired by HubSpot co-founder and CTO Dharmesh Shah for a whopping $15.5 million. We're not sure if this signals a brand change for the AI startup, but users' trips to ChatGPT just got three letters shorter.DeepRoute's $100 million raise and the startup's race to get its automated systems out before Tesla FSD is available in China.Biotech startup Archon's $20 million effort to power up drug development with its ‘antibody cages'. Of course, we couldn't talk about the news without a biochemistry lesson from Devin where we learned a new scientific term: thingies.Google's new AI-focused data center and collaboration with the Saudi Public Investment fund. The move had the team thinking more about tech's climate commitments at large, and who is walking back their pledges in favor of AI.The election bidding boom - from Polymarket to Kalshi and a potential $450 million payout.Equity will be back next week with a special interview between TechCrunch senior editor Julie Bort and Salesforce CEO Marc Benioff, 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.

Shoot us a Text.We're live from Austin this morning where we'll be speaking to the ATAE Comms Directors, but before that, we're talking about how car dealer Bernie Moreno is headed to the Senate, the second annual list of CBT 40 Under 40 honorees and how Open AI spent a whopping $15M on the Chat.com domain.Show Notes with links:Bernie Moreno, former auto dealer and Trump-backed Republican, flipped a longstanding Democratic Senate seat in Ohio, securing a narrow victory over Sherrod Brown.Moreno won 50.2% of the vote, defeating Brown's 46.4%, marking a GOP gain in the Senate.The race was one of the most expensive Senate contests in history, crucial for Republican control.His opponent, incumbent Sherrod Brown, targeted Moreno's dealership past, implying he “would say anything to sell a car.” This line of attack backfired, galvanizing support from auto industry insiders who saw it as a slight against the profession.A critic of federal EV mandates, Moreno argued for consumer choice, advocating that Ohioans—and the auto market—should not be subjected to standards set by California.Moreno credited auto industry colleagues for their unwavering support, stating, “I appreciate the hundreds of phenomenal entrepreneurs in the car business.”CBT News has announced its second annual 40 Under 40 awards, spotlighting rising stars in the automotive retail industry. These honorees demonstrate exceptional talent in areas like sales, marketing, management, and innovation, shaping the future of automotive retail.The award recognizes contributions in sales, customer experience, and community service and aims to inspire future leaders in automotive retail.Co-founders Bridget and Jim Fitzpatrick commend honorees' resilience: "The resilience and dedication demonstrated by every member of the retail automotive community is truly inspiring."Friends of ASOTU: Nathanael Greklek, Chief Digital Brand Leader at Mohawk Auto Group,  and Michael Lucki, GM/Operating Partner at Riverhead MazdaOpenAI has made waves by purchasing the chat.com domain from HubSpot's Dharmesh Shah, a move signaling their evolving approach to user interaction.Sam Altman, OpenAI's CEO, shared the new domain, which directly redirects to ChatGPT.Originally bought by Shah for $15.5M, he later sold it to OpenAI, reportedly at a profit.Shah cited "Chat-based UX" as the next big trend in software for natural, intuitive interactions.Shah hinted that OpenAI paid with shares rather than cash, a unique twist on the transaction.This move aligns with OpenAI's recent rebranding efforts, including new model series like “o1” aimed at simplifying and enhancing user perception.Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email

Brian Tolkin is the Head of Product at Opendoor. Previously, he was one of the early employees at Uber, where he was instrumental in launching and growing UberPool, UberHop, and UberExpress and started one of the first product operations teams in tech. In our conversation, we dive into:• How to enable product and ops to work well together• How to run great product reviews• How to make good decisions with limited data• How he uses the jobs-to-be-done framework at Opendoor• How to stay calm under pressure as a leader• Wild stories from his time at Uber• Challenges faced at Opendoor during the pandemic• Much more—Brought to you by:• Pendo—The only all-in-one product experience platform for any type of application• Explo—Embed customer-facing analytics in your product• Attio—The powerful, flexible CRM for fast-growing startups—Find the transcript and references at: https://www.lennysnewsletter.com/p/scaling-uber-and-opendoor-brian-tolkin—Where to find Brian Tolkin:• X: https://x.com/briantolkin• LinkedIn: https://www.linkedin.com/in/briantolkin/—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) Brian's background(02:14) Career beginnings at Uber(02:49) Transitioning from product operations to product management(06:47) Product and operations synergy(10:00) Surge pricing at Uber(12:18) Scaling challenges, and stories(15:47) Opendoor and Covid adaptations(25:38) Product reviews and Jobs to Be Done(40:30) The challenges of A/B testing(42:23) Increasing conviction in solutions(44:33) Leveraging intuition in product decisions(47:07) Partnering with Zillow(52:55) Staying calm under pressure(56:25) Finding the “kernel of truth” in product management(01:00:21) Failure corner: Early days of Uber Pool(01:06:11) Lightning round and final thoughts—Referenced:• Twitter's former Head of Product opens up: being fired, meeting Elon, changing stagnant culture, building consumer product, more | Kayvon Beykpour: https://www.lennysnewsletter.com/p/twitters-former-head-of-product-kayvon-beykpour• Opendoor: https://sell.opendoor.com/• How to sell your ideas and rise within your company | Casey Winters, Eventbrite: https://www.lennysnewsletter.com/p/how-to-sell-your-ideas-and-rise-within• Thinking beyond frameworks | Casey Winters (Pinterest, Eventbrite, Airbnb, Tinder, Canva, Reddit, Grubhub): https://www.lennysnewsletter.com/p/thinking-beyond-frameworks-casey• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• FlashTags: A Simple Hack for Conveying Context Without Confusion: https://www.onstartups.com/flashtags-a-simple-hack-for-conveying-context-without-confusion• Jobs to Be Done Theory: https://www.christenseninstitute.org/theory/jobs-to-be-done• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennyspodcast.com/the-ultimate-guide-to-jtbd-bob-moesta-co-creator-of-the-framework/• Zillow: https://www.zillow.com/• Zillow, Opendoor announce multi-year partnership: https://investor.opendoor.com/news-releases/news-release-details/zillow-opendoor-announce-multi-year-partnership• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Stripe Atlas: https://stripe.com/atlas• Founders podcast: https://www.founderspodcast.com/• Uber will deliver ice cream to you today: https://www.dispatch.com/story/lifestyle/food/2016/07/13/uber-will-deliver-ice-cream/24201840007/• UberKittens: https://www.uber.com/newsroom/uberkittens/• UberPuppies: https://www.uber.com/blog/uberpuppies-want-to-play/• Shoe Dog: A Memoir by the Creator of Nike: https://www.amazon.com/Shoe-Dog-Memoir-Creator-NIKE/dp/1471146723• The Black Swan: The Impact of the Highly Improbable: https://www.amazon.com/Black-Swan-Impact-Improbable-Incerto/dp/1400063515• The Design of Everyday Things: https://www.amazon.com/dp/0465050654• Shantaram: https://www.amazon.com/Shantaram-SHANTARAM-Paperback-GregoryDavidRoberts/dp/B00QPVJESC• Full Swing on Netflix: https://www.netflix.com/title/81483353• Formula 1: Drive to Survive on Netflix: https://www.netflix.com/title/80204890• Break Point on Netflix: https://www.netflix.com/title/81569920• Air on Prime Video: https://www.amazon.com/AIR-Matt-Damon/dp/B0B8Q3JMCG• Fi smart dog collar: https://tryfi.com/• Particle: https://particlenews.ai/• Sara Beykpour on LinkedIn: https://www.linkedin.com/in/sarabeykpour/• A new-parent gift guide for product managers: https://www.lennysnewsletter.com/p/a-new-parent-gift-guide-for-product• Jeff Holden on LinkedIn: https://www.linkedin.com/in/jeffholden/• Travis Kalanick on X: https://x.com/travisk—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

Ep. 245 Why should you be a Claude super fan? Kipp and Kieran dive into the game-changing world of Claude apps and how anyone can build web apps in no time. Learn more on how Claude's new features empower you to create and publish lightweight apps effortlessly, real-life examples of innovative use cases, and the mind-blowing potential for profitability and customization with Claude's intuitive tools. Mentions Claude 3.5 Sonnet https://www.anthropic.com/news/claude-3-5-sonnet Gary Vaynerchuk https://garyvaynerchuk.com/ Dharmesh Shah https://www.hubspot.com/company/management/dharmesh-shah Replit https://replit.com/ Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Produced by Darren Clarke.

“Many companies have forgotten they sell to actual people. Humans care about the entire experience, not just the marketing, sales, or service. To really win in the modern age, you must solve for humans.” — Dharmesh Shah. I truly enjoy having marketing experts on my show because sales and marketing are very different.  They are married and need each other but have very different skills.  Since I'm no expert in Marketing strategies, I always learn a tip or two or three from my guests on this topic.  Lead generation is critical for keeping our pipelines full so we can continue to connect through follow-up and help our ideal clients using an effective sales process. Leads come in, and if our sales process aligns with our marketing message, sales come out.    YouTube: https://youtu.be/slrakACxWTs   About Amy Kuphal: Amy is a lead generation and email marketing specialist and the founder of The Inbox Entrepreneur. This monthly membership helps online business owners grow their audience, generate more leads, and make more sales, all in a simple and sustainable way. Amy is a fierce advocate for “anti-hustle entrepreneurship” and is on a mission to help business owners create businesses that both look and feel good.   How to Get In Touch with Amy Kuphal: Email:  amy@amykuphal.com Website: https://www.amykuphal.com/ Gift:  http://www.amykuphal.com/write-better-emails   Stalk me online! LinkTree: https://linktr.ee/conniewhitman   Subscribe to the Enlightenment of Change podcast on your favorite podcast streaming service or YouTube.  New episodes are posted every week. Listen to Connie dive into new sales and business topics or problems you may have. 

Dylan Field is the co-founder and CEO of Figma, the collaborative design platform that has revolutionized how product teams work. In my first-ever live podcast, recorded at Figma Config, Dylan and I dig into:• How intuition and product taste drive Dylan's decision-making• The challenge of keeping things simple• Dylan's thoughts on the future of product management• Lessons from Figma's early days• How Figma built their initial user base• Dylan's journey from intern to CEO of a 1,000+-person company• The future of design tools and AI—Brought to you by:• WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs• Anvil—The fastest way to build software for documents• User Testing—Human understanding. Human experiences.—Find the transcript at: https://www.lennysnewsletter.com/p/dylan-field-live-at-config—Where to find Dylan Field:• X: https://x.com/zoink?lang=en• LinkedIn: https://www.linkedin.com/in/dylanfield/—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(01:11) Welcoming Dylan Field(02:36) Highlights and surprises from Config(06:58) The philosophy of design(08:01) Raccoon feet and muffin hands(09:57) Building and refining intuition and product taste(12:50) How to influence leadership(16:14) The role of product managers(21:12) The future of product management(22:20) The importance of simplicity in design(26:10) The long road to Figma's launch(27:44) Advice for aspiring entrepreneurs(29:07) Knowing when it's time to ship(30:39) Early user acquisition strategies(35:50) Spotting trends and future innovations(39:20) Reflections on leadership and growth(43:16) Lightning round—Referenced:• Mihika Kapoor on LinkedIn: https://www.linkedin.com/in/mihikakapoor/• Rick Rubin on the Creative Act—60 Minutes: https://www.youtube.com/watch?v=sE1teB5bN-w• Figma pages: https://help.figma.com/hc/en-us/articles/360038511293-Create-and-manage-pages• Leading through uncertainty: A design-led company—Brian Chesky (Config 2023): https://www.youtube.com/watch?v=Dkfijg7s76o• An inside look at how Figma builds product | Yuhki Yamashita (CPO of Figma): https://www.lennysnewsletter.com/p/an-inside-look-at-how-figma-builds• Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma): https://www.lennysnewsletter.com/p/vision-conviction-hype-mihika-kapoor• An inside look at Figma's unique GTM motion | Claire Butler (first GTM hire): https://www.lennysnewsletter.com/p/an-inside-look-at-figmas-unique-bottom• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Nadia Singer on LinkedIn: https://www.linkedin.com/in/nadiasinger/ • Sho Kuwamoto on LinkedIn: https://www.linkedin.com/in/shokuwamoto/• FigJam: https://www.figma.com/figjam/• Tim Van Damme on LinkedIn: https://www.linkedin.com/in/tim-van-damme-maxvoltar/• Coda: https://coda.io/• Shishir Mehrotra on LinkedIn: https://www.linkedin.com/in/shishirmehrotra/• Websim: https://websim.ai/• eToys.com commercial (from Dylan's childhood acting career): https://www.youtube.com/watch?v=k3Y92aCmmbU—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

Episode 579: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about 3 niche trends they've found that are guaranteed to make $1M+. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Shaan gets his hotness score (2:30) Reddit trend leads to $6M ARR beauty app for men (10:12) Male nail care influencers (12:42) Sam upstages Shaan's beauty score (14:00) Spin-off businesses: Med Spas (16:00) Aging influencers and modern male grooming products (20:27) The story of Teflon and Dupont's billion dollar problem (22:49) Forever chemicals are in our water (26:14) Pfas free products (29:12) A regulatory inflection point is here (33:16) Trend: Assassins with water guns (34:32) $0 - $250K MRR app (35:22) Playground virality (38:00) Trading expertise for social vouching (49:10) Exporting a profitable internal tool — Links: • Umax - https://tinyurl.com/mezh49ac • Acqua Pana - https://www.acquapanna.com • MAMAVATION - https://www.mamavation.com • Splashin - https://www.splashin.app • Splashin TikTok - https://www.tiktok.com/discover/splashin-app — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 578: Shaan Puri ( https://twitter.com/ShaanVP ) sits down with Joe Lonsdale ( https://twitter.com/JTLonsdale ) to talk about how he leveraged one internship at PayPal into one billion dollar success after another. Today Joe is Managing Partner of 8VC and an early investor in Anduril. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) The One Reason strategy (3:18) Learning Global Macro Finance from Peter Thiel (5:35) Taking multi-million dollar bets at 4:30am (8:43) Hire for raw IQ over expertise (10:33) Nurturing employees into unicorn founders (12:24) Solving hard problems with Addepar (13:53) Always “Being on” (15:32) How to spot opportunities for new businesses (21:10) How Epirus landed a military defense contract (27:09) Getting hits in hard domains (28:24) Business Idea: AI-powered Estate Planning (29:19) Business Idea: Business Process Outsourcing for local government (30:58) Big swings vs. base hits (31:49) Idea vs. execution (32:38) Focus vs. diversity of thought/attention (33:33) Insights from Elon's inner circle (35:36) Joe Lonsdale's unfair advantages (38:48) How to invest your time to make your first $1M (40:40) Working on an A+ problem as an intern at PayPal (43:15) Be within 2 standard deviations of top talent (44:14) Early days at Palantir (46:56) Building a top engineering culture (48:31) Borrowing trust as 21-year old defense contractor (52:22) Peter Thiel's biggest contrarian bet — Links: • Joe's Twitter - https://twitter.com/JTLonsdale • Joe's blog - https://blog.joelonsdale.com/ • Joe's podcast - https://www.americanoptimist.com/ • 8VC - https://www.8vc.com/ • Addepar - https://addepar.com/  • Palantir - https://www.palantir.com/ • Epirus- https://www.epirusinc.com/ • OpenGov - https://opengov.com/ • Prologis - https://www.prologis.com/ • Lessons from Peter Thiel - https://joelonsdale.com/lessons-peter-thiel/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 577: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about mysterious billionaire Thomas Tull.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Blue Collar Billy of The Week: Thomas Tull (2:29) Moneyball strategy for movies (5:20) Formula for box office hits: Bigger is better (7:25) International appeal (specifically China) (8:22) Data analytics for movie marketing (13:15) Flywheels at the highest level (24:31) Moneyball for X (26:42) Business lessons from the UFC (31:03) We give Zuck PR advice (33:02) What Dana White taught me about marketing (34:06) Level 1: Sell a product (34:46) Level 2: Sell a solution not a product (35:20) Level 3: Sell a Lifestyle (36:55) Level 4: Sell a feeling (39:18) Level 5: Identity in a box (46:49) Why Sam's new project will fail (52:38) Shaan workshops Sam's idea — Links: • The Information article - https://tinyurl.com/4csvs9ab • Legendary - https://www.legendary.com/ • “We Don't Sell Saddles Here” - https://tinyurl.com/2s39sjzf • SmartAsset - https://smartasset.com/ • Sam's List - https://samslist.co/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 576: Shaan Puri ( https://twitter.com/ShaanVP ) sits down with Tim Ferriss ( https://twitter.com/tferriss ) to talk about his latest lifestyle experiments and how to spend a perfect 24-hours. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Tim's "What's next?" framework (7:22) Creativity gyms + why money doesn't buy happiness (12:11) Book Recommendation: The New Toughness Training for Sports (15:51) Tim Ferriss's perfectly optimized day (23:06) The art of podcasting  (32:03) From selling supplements to published author (38:42) Law of Category (42:23) Barbell strategy for Youtube (54:12) What would it look like if it was easy? (56:14) What is Tim's unfair advantage? (59:47) What silly story are we telling ourselves? (1:02:23) Stories about Naval — Links: • Tim's blog - https://tim.blog/ • Tim's books - https://tim.blog/tim-ferriss-books/ • “The New Toughness Training for Sports” - https://tinyurl.com/nhh6m4px • “The 22 Immutable Laws of Marketing” - https://tinyurl.com/2bmz43ve • 1,000 True Fans - https://kk.org/thetechnium/1000-true-fans/ • Blue Ocean Strategy - https://tinyurl.com/5739vvry — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 575: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about the weirdest things they've seen this week in business.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Kid Rock, our honorary Billy of the Week (8:13) Shaan's *new* rules for content  (Partial list) (9:05) Rule 1: Older is better (13:07) Rule 5: Early. Arbitrage. Exploit (17:58) Rule 4: Pay for learning (19:45) Sam's cheat code for better alpha (23:57) How Kirk Kerkorian Became the Greatest Deal Maker in Capitalist History (29:48) Three rules of wealth. Compounding rate, length of runway, and… (34:11) Must Listen: Business Untitled (36:28) LeBron James is now a podcaster? — Links: • Kid Rock on Theo Von - https://www.youtube.com/watch?v=nReTPXtTDDc  • Kid Rock's Rodeo - https://kidrock.com/blogs/news/kid-rocks-rock-roll-rodeo • Kid Rock's Honky Tonk - https://www.kidrockshonkytonkandsteakhouse.com/ • Nick Sleep Letters - https://tinyurl.com/2thhv6cy • AirChat - https://www.air.chat/ • GLG Insights - https://glginsights.com/ • The Gambler - https://tinyurl.com/4d4e62m2 • Business Untitled - https://tinyurl.com/26zkw9pr • LeBron's new podcast - https://tinyurl.com/2kuvsv5v — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 574: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk to Jeremy Giffon about what businesses he would buy if he was starting Tiny TODAY and a bunch of opportunities that he sees people sleeping on.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:23) Idea: Build businesses for people with audiences (5:48) Idea: Wirecutter for products that won't kill you (10:30) One chart business category: Regulation (14:55) Opportunity: Become a protege (19:19) Philosophy students > Business students (22:00) The myth the holdco (26:14) The pre- and post- fall (28:17) Idea: “Special situations" I.e. Distressed Venture (32:15) Working hard vs working winning while lazy (40:19) Hanging around the hoop (42:30) The most successful people respond immediately (43:55) Be Dennis the Menace (45:15) MrBeast shouldn't be selling chocolate (47:53) Billionaire is a state of mind (51:05) Silicon Valley guys envy hedge fund guys — Links: • Jeremy Giffon's Twitter - https://twitter.com/jeremygiffon • Live Oasis - https://www.live-oasis.com/ • Afina - http://afina.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 573: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk to Jeremy Giffon about how Tiny Capital turned $5M in equity into 30 profitable companies.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Humble beginnings at Tiny Capital (4:40) Tiny's first acquisition (8:17) 50X return on Dribbble (10:14) Skip the cash flow statements (11:57) How to spot the opportunity (14:00) Chris's superpower (16:20) Stomaching aggressively low offers (17:46) Make an offer and stop talking (19:36) It's not you vs. them (22:06) "What would need to be true to make this deal?" (23:03) How to crush the cold email (25:15) Worst deal -- ignored red flags, lost everything (27:00) Best deal: Mealime (25X return) (29:16) Weirdest deal ($36.00 acquisition) — Links: • Tiny Capital - https://www.tiny.com/ • Dribbble - https://dribbble.com/ • Metalab - https://www.metalab.com/ • Mealime - https://www.mealime.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

David DeSanto is the chief product officer of GitLab, which is the largest remote-only company in the world. They share many of their team meetings on YouTube, and they've grown from being an open-source code management product competing with GitHub to a multi-product platform that covers security, compliance, continuous integration, project management, and deployment tools, many of which are infused with AI magic. In our conversation, we discuss:• How GitLab operationalizes transparency• The philosophy behind recording and sharing team meetings on YouTube• Their extensive public employee handbook• GitLab's core value of having “short toes”• Challenges and advice for doing remote work well• Strategies for ensuring effective communication in a remote work environment• GitLab's breadth-over-depth strategy• The company's unique approach to AI• The value of using humor in high-stakes conversations—Brought to you by:• Orb—The flexible billing engine for modern pricing• Eppo—Run reliable, impactful experiments• Paragon—Ship every SaaS integration your customers want—Find the transcript at: https://www.lennysnewsletter.com/p/the-gitlab-way—Where to find David DeSanto:• X: https://twitter.com/david_desanto• LinkedIn: https://www.linkedin.com/in/ddesanto/• Threads: https://www.threads.net/@david.the.beard—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) David's background(04:20) Maintaining an epic beard(05:29) Why GitLab publicly shares team meetings(09:49) The GitLab Handbook(11:30) GitLab's issue tracker(14:29) How to successfully build a culture of transparency(18:11) Benefits of operating with transparency(19:55) The value of building in public(21:53) How GitLab implements their core value of kindness(25:16) What it means to have “short toes”(27:41) Other core values(32:16) Common reasons for not fitting in at GitLab(34:42) Advice for remote teams(42:04) Advice for getting into product(43:52) Advice for PMs who are struggling in a remote world(48:25) Specific tools that help with remote work(53:13) Time zones and remote work(57:18) Breadth-over-depth strategy(01:04:14) AI at GitLab(01:13:11) GitLab's products and solutions(01:14:54) Lightning round—Referenced:• GitLab: https://about.gitlab.com/• UX Showcase—David DeSanto introduction to UX team and AMA: https://www.youtube.com/watch?v=fEdsmnVKNj4• The GitLab Handbook: https://handbook.gitlab.com/• Sid Sijbrandij on LinkedIn: https://www.linkedin.com/in/sijbrandij/• Y Combinator: https://www.ycombinator.com/• GitLab issues: https://docs.gitlab.com/ee/user/project/issues/• Salesforce: https://www.salesforce.com/• GitLab values: https://handbook.gitlab.com/handbook/values• GitLab organizational structure: https://handbook.gitlab.com/handbook/company/structure• GitLab direction: https://about.gitlab.com/direction/• Dogfooding: A simple practice to help you build better products: https://medium.com/agileinsider/dogfooding-a-simple-practice-to-help-you-build-better-products-b5954af4d5f7• The ultimate guide to adding a PLG motion | Hila Qu (Reforge, GitLab): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-adding-a-plg• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• HubSpot: https://www.hubspot.com/• Crossing the Chasm: Marketing and Selling Disruptive Products to Mainstream Customers: https://www.amazon.com/Crossing-Chasm-3rd-Disruptive-Mainstream/dp/0062292986• Geoffrey Moore on finding your beachhead, crossing the chasm, and dominating a market: https://www.lennyspodcast.com/geoffrey-moore-on-finding-your-beachhead-crossing-the-chasm-and-dominating-a-market/• Open-core model: https://en.wikipedia.org/wiki/Open-core_model• GitLab Duo: https://about.gitlab.com/gitlab-duo/• GitLab Docs: https://docs.gitlab.com/• Anthropic: https://www.anthropic.com/• GitLab Acquires UnReview to Expand Its DevOps Platform with Machine Learning Capabilities: https://about.gitlab.com/press/releases/2021-06-02-gitlab-acquires-unreview-machine-learning-capabilities/• Essentialism: The Disciplined Pursuit of Less: https://www.amazon.com/Essentialism-Disciplined-Pursuit-Greg-McKeown/dp/0804137382• The Mission Critical Core/Context Model for Product Managers: https://secretpmhandbook.com/the-mission-critical-corecontext-model-for-product-managers/• The Devil's Hour on AppleTV+: https://tv.apple.com/us/show/the-devils-hour/umc.cmc.3zw4tyzd4lvor5mwhujms63x3• Glass Onion: A Knives Out Mystery on Netflix: https://www.netflix.com/title/81458416• Taylor Swift's The Eras Tour on Prime Video: https://www.amazon.com/TAYLOR-SWIFT-ERAS-EXTENDED-VERSION/dp/B0CP99SN2B• The STAR method: https://capd.mit.edu/resources/the-star-method-for-behavioral-interviews/• Artifact News: https://artifact.news/• Superhuman: https://superhuman.com/• Arc browser: https://arc.net/• An inside look at how The Browser Company builds product: https://www.lennysnewsletter.com/p/competing-with-giants-an-inside-look—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

Episode 572: Sam Parr ( https://twitter.com/theSamParr ) and Shaan Puri ( https://twitter.com/ShaanVP ) talk about the 10 revelations learned from spending a week with Texas billionaires.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Tim Ferriss asks Shaan a hard question (panic ensues) (2:46) The Indian Warren Buffett (7:25) "Investing is not a team sport" (8:31) Mohnish Pabrai's Nap Room (10:28) Required reading list of a billionaire (11:47) He built 5 billion-dollar companies by 41 (15:39) 5 Revelations from a day with Joe Lonsdale (19:50) The final level of the money game: private chefs, full size basketball court, etc (20:52) Nick Gray, cocktail party legend (23:45) Hanging out with smarter people (27:17) Nerd sports that make the best entrepreneurs (31:17) Pay attention to what other people pay attention to (33:47) Ben Levy's superpower as a superconnector — Links: • The Dhando Investor - https://tinyurl.com/53p9bhfv • PeachyBbies - https://peachybbies.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 571: Shaan Puri (https://twitter.com/ShaanVP) talks to creator Jenny Hoyos who's mastered the virality recipe, about her step by step process for creating viral content that's pulled in over a BILLION views.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (00:00) Intro - Jenny's back story. From single digit views to hundreds of millions of views per episode. (1:15) Jenny is the anti-Mr. Beast. “They call me Mr. Least.” (2:10) Breaking down the perfect short. “Returning viewership is incredibly important.” (3:10) Examples of brands/channels that are doing the viral thing well.  (4:00) The 4 criteria for a viral video. (8:20) Weaving your personal life into your content. (12:30) Shaan and Jenny build a viral video concept in real time.  (16:50) The hook dictates the idea. (18:00) Power words - What are they and how to use them. (20:10) The metrics to pay attention to. (21:40) What your visuals should be. (24:10) Foreshadowing and how to use it. (25:25) The best storytelling. (26:50) Getting people to rewatch. (33:30) Nailing the ending. (35:00) Steal like an artist (36:40) Building tools to understand viewer psychology. (40:25) Guiding principle to winning audiences. (42:15) Predictions for the future of content demand. (43:30) Mindset for being creative. (48:25) Jenny's ultimate goal. (51:00) Where to find Jenny. — Links: Jenny's YouTube channel: https://www.youtube.com/@JennyHoyosLOL — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 570: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) go through Sam's journey of launching his company Hampton. It's a step by step walkthrough of what went right and what went wrong.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (00:00) Intro - A radically transparent look inside Hampton launch. (2:22) The beginning of the idea just after Sam sells The Hustle, starts tinkering with buying AirBnBs. (3:00) Fail #1: Short-term rental crew. Fail #2: Community of truckers. (4:30) The Hampton idea and what the business is.  (5:45) Fail #3: V1, V2, V3 of Hampton - no one wanted it (8:00) Accepted where the demand was and found the hook for Hampton. Research begins. (10:08) Where the name came from. (12:05) Hired a branding agency (This was a hack that helped build the brand) (14:12) Things Sam said no to  (17:00) Leverage the founder story (20:18) Shaan's branding agency experience (21:40) Shaan's $25K Mistake: Hiring a naming agency (26:00) Takeaways — Links: https://www.joinhampton.com/ Hampton Brand Inspiration doc: https://tinyurl.com/4uw5a9sv — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Dharmesh Shah is the co-founder and CTO of HubSpot (currently valued at $30 billion) and one of the most fascinating founders I've ever met. Dharmesh is the keeper of HubSpot's Culture Code, built ChatSpot (an AI chatbot built on top of HubSpot CRM) and a game called WordPlay (which grew to 16 million users), and also founded and writes for OnStartups, a top-ranking startup blog and community with more than 1M members. He's also invested in 100+ startups including OpenAI, AngelList, Coinbase, and Dropbox. In our conversation, we discuss:• The biggest lessons he has learned from building HubSpot• The importance of leaning into your strengths• Dharmesh's data-oriented approach to public speaking• How he developed HubSpot's culture code• The decision-making process at HubSpot• His contrarian approach to building products• Why founders and product teams are all fighting the second law of thermodynamics• How “flash tags” can save your teams time• How to decide what ideas are worth investing in—Brought to you by:• Explo—Embed customer-facing analytics in your product• Vanta—Automate compliance. Simplify security• LinkedIn Ads—Reach professionals and drive results for your business—Find the full transcript at: https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building—Where to find Dharmesh Shah:• X: https://twitter.com/dharmesh• LinkedIn: https://www.linkedin.com/in/dharmesh/• Website: https://dharmesh.com/—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) Dharmesh's background(04:20) Fun facts about Dharmesh(06:31) His data-oriented approach to public speaking(11:45) Advice for adding humor to your presentations(15:28) Why he has no direct reports(18:46) You can shape the universe to your liking(20:02) Lessons from building HubSpot(23:43) Contrarian ways of running a company(37:26) Fighting the second law of thermodynamics (40:29) The importance of simplicity in running a business(45:22) Succeeding in the SMB market(50:29) Zigging when others are zagging(54:17) When it makes sense to go “wide and deep”(57:33) Using flashtags to communicate opinions(01:02:44) HubSpot's decision-making process (01:09:41) Deciding what ideas to invest in(01:15:26) Defining and maintaining company culture(01:30:46) The potential of AI(01:37:03) Practical advice for learning AI(01:40:07) Where to find Dharmesh—Referenced:• WordPlay: https://wordplay.com/article/unlimited• ChatSpot: https://chatspot.ai/• Indian-origin entrepreneur buys ‘chat.com' for over $10 million, then sells, donates $250,000 to Khan Academy: https://www.businesstoday.in/technology/news/story/indian-origin-entrepreneur-buys-chatcom-for-over-10-million-then-sells-donates-250000-to-khan-academy-382907-2023-05-26• Kipp Bodnar on LinkedIn: https://www.linkedin.com/in/kippbodnar/• The surprising metric presenters should analyze: https://lars-sudmann.com/the-surprising-metric-presenters-should-analyze/• SoloWare: https://www.linkedin.com/posts/dharmesh_for-3-decades-now-in-addition-to-my-day-activity-7166500611247583232-kZgb/• Brian Halligan on LinkedIn: https://www.linkedin.com/in/brianhalligan/• First Principles: Elon Musk on the Power of Thinking for Yourself: https://jamesclear.com/first-principles• Peter Thiel on LinkedIn: https://www.linkedin.com/in/peterthiel/• The second law of thermodynamics: https://en.wikipedia.org/wiki/Second_law_of_thermodynamics• What is an SMB?: https://www.techtarget.com/whatis/definition/SMB-small-and-medium-sized-business-or-small-and-midsized-business• Shopify: https://www.shopify.com/• Relentless curiosity, radical accountability, and HubSpot's winning growth formula | Christopher Miller (VP of Product, Growth and AI): https://www.lennyspodcast.com/relentless-curiosity-radical-accountability-and-hubspots-winning-growth-formula-christopher-mil/• FlashTags: A Simple Hack for Conveying Context Without Confusion: https://www.onstartups.com/flashtags-a-simple-hack-for-conveying-context-without-confusion• What it means to “disagree and commit”: https://news.ycombinator.com/item?id=16949021• A Simple Decision Framework: Debate, Decide and Unite: https://connectingdots.com/p/debate-decide-unite• Dharmesh Shah's Frameworks for Creating a $1 Billion Net Worth: https://hakune.co/dharmesh-shah-networth/• Zip: https://ziphq.com/• The HubSpot Culture Code: Creating a Company We Love: https://blog.hubspot.com/blog/tabid/6307/bid/34234/the-hubspot-culture-code-creating-a-company-we-love.aspx• How defining values and culture helped Airbnb achieve worldwide success: https://lattice.com/library/how-defining-values-and-culture-helped-airbnb-achie• What is SQL?: https://aws.amazon.com/what-is/sql/• GrowthBot: https://community.hubspot.com/t5/Releases-and-Updates/Meet-GrowthBot-from-HubSpot-Labs/ba-p/417985—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

Episode 569: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) get into being productive without being a slave to your calendar. How to disable distractions, being effective vs being efficient, and living the unscheduled life. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) The joy of an unscheduled life (01:56) Maker vs manager schedule (02:32) Working in intentional spaces (04:59) Living without a to-do list (05:27) Reverse engineer your ideal day (8:26) "Show me your calendar and I'll show you your priorities" (09:19) Name your top 3 (quarterly) (12:56) Disable distractions (13:33) Be effective, not efficient (14:55) Do the big thing first (16:30) No loser works out at 7:00 am (17:47) The barbell strategy for building relationships (20:17) No as a default mode (21:04) Accepting the trade-offs — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 568: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) challenge each other to the Japanese practice of misogi, plus they're breaking down the new economy of suffering.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (2:20) Sam challenges Shaan to a Misogi (5:13) The rules of Misogi (11:42) Shaan challenges Sam to not be bothered (14:04) The Speed Project (15:08) The Monkey Run (16:00) Barkley Marathon (18:38) Iconic branding (20:02) "The definition of luxury is dominating your customer" (21:48) Shaan's favorite luxury brand: Harvard (27:16) How to put a 10% remix on an idea (29:09) Remixing corporate merch (30:50) Greg Isenberg gets a free jacket, starts a movement (32:58) Marissa Mayer's hilarious launch (37:01) Management Time: Who's Got the Monkey? (47:55) $14K Specialty beds — Links: • Jesse Itzler's Big A## Calendar - https://jesseitzler.com/products/calendar-2024 • The Comfort Crisis - https://eastermichael.com/book/ • Monkey Run - https://www.theadventurists.com/monkey-run/ • The Speed Project - https://www.instagram.com/thespeedproject • Exporting American prestige - https://tinyurl.com/2k76ssdz • Marissa Mayer's hard launch - https://twitter.com/marissamayer/status/1772664475331473680 • “Management Time: Who's Got The Monkey” - https://hbr.org/1999/11/management-time-whos-got-the-monkey • Cubby Beds - https://cubbybeds.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 567: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) talk to Anthony Pompliano ( https://twitter.com/apompliano ) about Michael Saylor's $900M bet on Bitcoin, invisible blue-collar businesses he's buying, plus 10 tech startups that could 10x your income and your reputation.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 Listen to the first episode of MoneyWise here - https://tinyurl.com/7m5ff3rt — Show Notes: (0:00) Intro (00:25) Bitcoin going up? (5:26) Michael Saylor's bet-the-company, burn-the-boats strategy (14:18) Pomp's take: genius or insane? (16:42)Product manager to people manager to money manager (20:35) Pomp's weird side businesses (28:51) The truth about buying blue-collar businesses (30:01) You can't put rocket fuel in a car (35:06) The prolific ownership of Philip Anschutz (36:35) Pomp's List: Startups You Should Work For (38:58) 10X reputation: Anduril or OpenAI (43:37) Shaan interviews at Facebook (50:35) 10X Potential: Eight Sleep, Varda, Figure.ai, Traba, Placer.ai, Rainmaker, Galvanick (1:04:45) How Pomp thinks about trade positions (1:10:28) A simple thesis on Solana (1:11:22) Being early on Andrew Tate — Links: • MicroStrategy - https://www.microstrategy.com/ • Out Where The West Begins - https://tinyurl.com/4v5mc8y5 • Figure - http://figure.ai/ • Eight Sleep - https://www.eightsleep.com • Varda - https://www.varda.com/ • Traba - https://traba.work/ • Placer - https://www.placer.ai/ • Rainmaker - https://www.makerain.com/ • Galvanick - https://www.galvanick.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 566: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) bring you the most taboo business model they've ever seen–plus the content funnel making this momfluencer $10M/yr.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 Access Hampton's “2023 Ecommerce Analysis: People, Profits, and Projections” here - http://joinhampton.com/ecom — Show Notes: (0:00) Sam and Shaan have "the talk" (2:50) Free egg freezing. Really? (8:37) Assessing the regret score of your life decisions (10:20) Economics of revenue per employee for ecomm (13:38) The content funnel of Dr. Becky (21:34) How momfluencers build trust (25:00) Strategic relatability, beautifully done (29:45) Genius marketing antics of Mini Katana (33:55) $1b dollar business plan: Freeze-dried candy (35:17) Hormozi's best advice - Find the 10/10 opportunity (38:10) The function of quitting — Links: • Cofertility - https://www.cofertility.com/ • Good Inside - https://www.goodinside.com/ • Dr. Becky on Instagram - https://www.instagram.com/drbeckyatgoodinside • Big Little Feelings - https://biglittlefeelings.com/ • V Shred - https://vshred.com/ • Miss Excel - https://www.miss-excel.com/ • Kinobody - https://www.facebook.com/kinobodyfitness — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 565: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) are dropping an emergency pod to break down Paul Graham's essay about Reddit's IPO yesterday.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:59) If you want to learn, teach.  (3:45) Show up – the ultimate high agency move (5:54) Trust your gut (7:47) How to get the best ideas (12:30) Don't be precious about the name (13:33) How Reddit faked early traction (16:45) Talent filters (19:37) “The best products are you pushed out” (23:42) We read Chris Saccsa's early emails (26:32) Reddit's exits to Conde Nast, then buys it back (29:20) 19 years later and still not profitable  — Links: • Y Combinator - https://www.ycombinator.com/ • Reddit - https://www.reddit.com/ • Paul Graham Essays - https://paulgraham.com/articles.html • Product Hunt - https://www.producthunt.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth My First Million is a HubSpot Original Podcast // Brought to you by The HubSpot Podcast Network // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 564: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) talk to Jason Fried about his 6-Week Sprint playbook, how he's planning for the end of subscription revenue, and what it's like to have Jeff Bezos as an investor.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (2:30) Long term planning is a fantasy (8:30) The 6-Week Sprint Playbook (14:00) Does Jason regret selling We Work Remotely? (16:00) Cash flow king (21:00) Taking money from Jeff Bezos (29:30) Who does Jason admire? (33:00) Non-recurring revenue is back (37:00) The Founder Letter Launch strategy (45:30) Campfire v. Slack (50:40) Pile on the wackier stuff early (in life and business) (53:30) Taking financial risks that don't put you at risk (57:00) Where does Jason spend his profits? — Links: • Jason on Twitter - https://twitter.com/jasonfried • Rework - https://tinyurl.com/38mfc66n • 37Signals - https://37signals.com/ • Basecamp - https://basecamp.com/ • We Work Remotely - https://weworkremotely.com/ • Once - http://once.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 563: Shaan Puri (https://twitter.com/ShaanVP) teaches his framework for ruthless focus. Follow these 5 steps to crush your goals in 2024.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (2:00) Define your Yes Threshold (4:00) Manager schedule vs. Maker schedule (6:30) The Pyramid of Clarity (8:30) Floor goals and F*ck Yeah Goals (10:00) Write it out. Be specific (12:00) Input vs. Output (16:00) Putting it all together — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 562: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) get into the economics of personality tests–including the most famous one which is used by 89% of Fortune 100 companies. Want to talk to Shaan? Text “hi” to 650-334-0790 Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:00) Data mining the basketball court (7:00) Origin of Myers-Briggs Test (14:30) Formula for Grit (16:00) Sam takes the Grit Scale Test (23:00) Cognition Labs, a math nerd's wet dream (34:00) Be willing to walk backwards (39:50) Speedrunning: 3 Founders Who Repeated the Playbook (42:00) Don't explore, exploit (49:00) $600M protein bar in 4 years — Links: • Grit - https://angeladuckworth.com/grit-book/ • Gallup - https://www.gallup.com/ • Lunchclub - https://lunchclub.com • Cognition - https://www.cognition-labs.com/ • Gold-Medalist Coders article - https://tinyurl.com/tc65a2vc • David Protein - http://davidprotein.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 561: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) tell the story of a niche plant blog becoming a $27M/yr gardening empire. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (2:00) $27M ARR gardening influencer  (14:30) Fruit Marketing: How Hass avocados became #1 (23:30) New Movement: Man Camps (31:00) Search Engines - Best Business In The World (44:00) Sergey Brin and Larry Page Stories You've Never Heard — Links: • Plant Daddy on YouTube - https://tinyurl.com/3ep46m9h • Epic Gardening - https://www.epicgardening.com/ • Kagi - https://kagi.com/ • Camp MFM Sizzle - https://tinyurl.com/5bam77eb — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

In episode #2695, we delve into the intricacies of strategizing for a one-person marketing team within a small business. Our emphasis lies in initiating the process by investigating where the competition drives sales, and we suggest leveraging marketing tools to analyze competitor channels. Additionally, we explore the power of ChatGPT prompts to identify ideal customer profiles and develop effective marketing strategies. Join us as we uncover valuable insights to empower solo marketers in small businesses.   Don't forget to help us grow by subscribing and liking on YouTube!   Check out more of Eric's content (Leveling UP YT) and Neil's videos (Neil Patel YT)    TIME-STAMPED SHOW NOTES: (00:00) Today's topic: How To Get Massive Reach on LinkedIn in 2024 (00:32) Neil Patel advises focusing on the channel driving the most traffic and sales for competitors. (01:24) Eric Siu emphasizes the importance of finding where the target audience hangs out. (02:49) Neil Patel mentions using Chat GPT to identify the ideal customer and their preferred platforms. (03:51) Eric Siu shares a method to get Google Gemini to write like you. (05:11) Neil Patel suggests using Gemini with blog posts to train the system better. (06:27) Eric Siu discusses Mark Zuckerberg's belief in making decisions and being involved in many areas. (07:30) Neil Patel relates this approach to Amazon's strategy of involving the founder in idea development. (08:46) Eric Siu humorously refers to Neil Patel and Dharmesh Shah's lack of direct reports as the "Indian billionaire way." (09:29) Neil Patel admits he is a terrible manager and prefers being an individual contributor. (10:10) Neil Patel enjoys taking matters into his own hands and getting things done. (10:56) Neil Patel emphasizes the importance of seeking feedback from others, even for individual contributors. (13:10) Eric Siu discusses the "zone of genius" exercise and shares his own areas of expertise. (13:58) Neil Patel focuses on strategy and enjoys it the most. (14:39) That's it for today! Don't forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more!   Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review.   Connect with Us:    Single Grain

Episode 559: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:00) Single purpose robots are here (4:00) Self-driving lawn mowers (19:30) Robot line cooks (13:00) Op ex over cap ex (18:30) What could go wrong? (21:00) Sam Altman's call for Universal Basic Income (23:00) Preparing for the AI winter (27:00) Robotics-first Chipotle (31:30) Sergey Brin's viral Q+A (37:30) Elon is suing Sam Altman (41:30) Larry Page calls Elon a "speciest" (44:00) The Manhattan Project of AI (47:30) Rumors around Q-Star (50:00) We read Elon's emails (57:30) Making sense of the war against OpenAI — Links: • Tesla Bot - https://www.youtube.com/watch?v=NCQaJEtyKf0 • Sheep Robotics - https://sheeprobotics.ai/ • Kernel - https://www.kernel.inc/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 559: Sam Parr (https://twitter.com/theSamParr) talks to Ramit Sethi ( https://twitter.com/ramit ) about why buying a house makes zero financial sense.  Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (3:30) Set your rich life intention (7:30) Don't confuse luck with skill (8:00) Sam's journey from owner to renter (11:30) Do the math: Real cost of ownership (15:30) Buy for desire (17:30) Pay in cash for large purchases (19:00) The 10 year rule (24:30) Ramit's list of must-haves (29:00) Sam's dream house (32:00) Sam's war on stuff (39:00) When to overspend (44:00) Millionaires who rent — Links: • Ramit on Twitter - https://twitter.com/ramit • Ramit on YouTube - https://tinyurl.com/m2s8cuyp • I Will Teach You To Be Rich - https://www.iwillteachyoutoberich.com/ — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 558: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) break down the 5 genius business tactics that have turned broke authors into millionaires. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (3:00) James Patterson's hit-making formula (11:30) Jack Carr's shameless product placement (17:00) Steve Rinella's $100M content to commerce play (22:30) Other $20M - $50M authors (26:00) The genius of the Navalmanack (29:00) How Hugh Howey became self-publishing's unlikely hero (38:30) James Clear's new habit app (43:00) The super networking tactics of Andrew Wilkinson — Links: • Daily Stoic - https://dailystoic.com/ • Stratemeyer Syndicate - https://stratemeyer.org/ • Jack Carr - https://www.officialjackcarr.com/books/ • Meateater - http://meateater.com/ • Navalmanack - https://www.navalmanack.com/ • Wool - https://hughhowey.com/books/wool/ • Goodreads - http://goodreads.com/ — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More

Episode 555: Shaan Puri (https://twitter.com/ShaanVP) and Sam Parr (https://twitter.com/theSamParr) break down the ruthless mindsets the top 1% of business moguls have in common. Want to see Sam and Shaan's smiling faces? Head to the MFM YouTube Channel and subscribe - http://tinyurl.com/5n7ftsy5 — Show Notes: (0:00) Intro (1:00) Egon Durban of Silver Lake (15:00) The methods of Ari Emanuel (20:00) The making of Dana White and UFC (37:00) Insane habits of the Fertittas brothers (40:00) Sam's loyalty complex (44:00) Other f*ck you qualities (46:00) Knowing your pucker number (48:30) How cheap is your happiness? — Check Out Shaan's Stuff: Need to hire? You should use the same service Shaan uses to hire developers, designers, & Virtual Assistants → it's called Shepherd (tell ‘em Shaan sent you): https://bit.ly/SupportShepherd — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • ​​​​#218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More