Podcasts about dharmesh

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

Join Theo, Theo, and Dharmesh in this exciting audio podcast as they go head-to-head in a Chelsea FC fantasy draft. Listen as they take turns picking their favourite Chelsea players to build the ultimate dream team. From star names like Lampard and Terry to potential hidden gems, every choice brings more thrills and plenty of laughs. The stakes rise with each round—whose team will come out on top?Packed with lively banter and insider takes, this episode is a must-listen for Chelsea fans and fantasy football lovers alike. Whether you're a die-hard Blue or just love a good draft, tune in for the fun and find out who drafts the winning squad. Subscribe now to catch all the action!For more Chelsea goodness, visit our Linktree: https://linktr.ee/fromtheshedend Hosted on Acast. See acast.com/privacy for more information.

Chelsea crash out of the FA Cup, extending their domestic trophy drought to 7 years! In this milestone episode of From The Shed End, Theo & Dharmesh break down what went wrong and where the club goes from here.

Live from San Francisco, Dev Interrupted explores the future of developer productivity with Ori Keren (CEO, LinearB) and Dharmesh Thakker (General Partner, Battery Ventures). The conversation, recorded before a live audience in San Francisco, examines the exciting possibilities and potential challenges of AI-powered tools, from code completion and review to the more advanced agentic AI.  Moderated by Ben Lloyd Pearson, this episode captures the excitement of the event, including audience Q&A and feedback. Ori and Dharmesh share their insights on how these trends will shape the future of software development over the next 12 to 24 months, offering predictions and practical advice for engineering teams and leaders. Discover how these shifts will impact your work and the broader tech industry.Show Notes:8 Habits of Highly Productive Engineering TeamsBeyond the DORA FrameworksIntroducing AI-Powered Code Review with gitStreamBook a demoFollow the hosts:Follow BenFollow AndrewFollow today's guest:Follow Dharmesh ThakkerReferenced in today's show:OpenAI CEO Sam Altman Says They've 'Been on the Wrong Side of HistorySoftware development topics I've changed my mind on after 10 years in the industryChat is a bad UI pattern for development toolsNASA is going to do a Twitch stream from the ISSSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Host Ricky Sacks and Jamie Brown from Daily Hotspur are joined by Sky Sports News Presenter and Reporter in Dharmesh Sheth as we cover everything to do with Tottenham Hotspur during this January transfer window including where things stand on Ange Postecoglou's future at Spurs.. An Independent Multi-Award Winning Tottenham Hotspur Fan Channel (Podcast) providing instant post-match analysis and previews to every single Spurs match along with a range of former players, managers & special guests. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs *Threads: https://www.threads.net/@lastwordonspurs *BlueSky: https://bsky.app/profile/lastwordonspurs.bsky.social WEBSITE: www.lastwordonspurs.com #THFC #TOTTENHAM #TRANSFERS Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the final episode of season five of the What the FinTech? podcast, we're joined by FinTech Futures columnists and fellow podcast hosts Dave Wallace and Dharmesh Mistry to take a look back at some of the biggest trends to come out of 2024 and discuss what the new year might bring for the sector. The discussion covers topics including AI, quantum computing, cryptocurrency, the Digital Operational Resilience Act (DORA) and more. And finally, in the spirit of the holidays, Dave and Dharmesh each release an incarcerated buzzword from our Fintech Jail! The What the FinTech? podcast will return for season six in the new year. Stay tuned! Disclaimer: The information provided in this podcast is for editorial and journalistic purposes only and does not constitute financial advice, and should not be treated as such. FinTech Futures does not recommend investments of any kind.

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

In this episode, Sean talks about getting himself out of day-to-day client work at Miscreants, and Andrew provides an update on his slow progress with customer acquisition for MetaMonster. Andrew shares an idea for a side project and they talk about Dharmesh buying the chat.com domain and "flipping" it to OpenAI.Links:Andrew's Twitter: @AndrewAskinsAndrew's website: https://www.andrewaskins.com/MetaMonster: https://metamonster.ai/ChartJuice: https://www.chartjuice.com/Sean's Twitter: @seanqsunMiscreants: http://miscreants.com/CopyWork: https://copy.work/Wordpress to Webflow-ready CSV: https://contentgobl.in/For more information about the podcast, check out https://www.smalleffortspod.com/.Transcript:00:00.98SeanAll right, what is this thing, Andrew? What are you gonna tell me? even It's been 30 minutes since you told me we we're changing what we're talking about today. Now you've been, okay, go.00:12.23Andrewlet me Let me just play this for you and I think it'll all make sense.00:15.25SeanOkay.00:21.25Andrewand00:24.28Andrewhoping you can so into me baby00:28.45AndrewDo you know what this is yet?00:33.18SeanYes. I know what this is. I know what this is. This is the... I feel bad for all Asian guys in SF. I'll never outdo you, you tech bros. It's fucking over.00:51.69AndrewWait, wait! graves keepki godam oh01:02.88AndrewI never thought I would hear Mark Zuckerberg with T paid singing sweat, drip down my balls.01:04.84Seanz pain that's what what what do you want to do you want to dissect the lyrics you want to01:11.18AndrewOh, ski, ski motherfucker. Oh, ski, ski. God damn.01:17.79AndrewOh my God. I found this and I was like, holy shit. Clear everything. This is all I want to talk about.01:32.86Seanhoney01:32.98AndrewI think it's just fucking hilarious. And like, I can't decide if I like love it or hate it. Like I can't decide if it's the best thing ever or the most cringe thing ever. And I think I love it. And I think I love it in part because it is kind of cringe and he just doesn't give a fuck.01:52.89Seanfor what it's worth though maybe this was the light at the this was the this was the one piece of uplifting news in recent times my executor the one who keeps us going02:01.14AndrewRight. Oh my God.02:08.17AndrewYeah. So that, that is the, uh, Mark Zuckerberg collaboration with T-Pain. Uh, their group is unofficially or officially, I guess, Z-Pain. Um, they have one single, which is an acoustic version of Gitlo, which Mark recorded for his wife Priscilla because apparently it's the song they listened to every anniversary.02:28.74SeanYep, and then you played it for her, and...02:32.21AndrewIs there a video of him playing it for her?02:33.61SeanYeah, yeah, yeah, yeah.02:34.49AndrewOh my God, I gotta go watch that. i I mean, he's found something that works. Being a wife guy is working for his brand right now and he is leaning all all the way in.02:47.07Andrewand02:47.21SeanHey, you know what they say about wife guys, though?02:50.47AndrewYeah.02:50.85Seanon the internet. okay I just hope he doesn't.02:53.35AndrewYep, it's gonna blow up at some point.02:57.23SeanI don't think he was on the ditty list, so we'll be okay.02:57.61AndrewBut...03:00.01Seanwe might or Or the FC list, so we might be okay.03:04.72AndrewFor what it's worth, I love T-Pain so much.03:08.46SeanYeah, he's great. He's great.03:09.83AndrewT-Pain's Tiny Desk Concert is one of my all-time favorites. It's so good.03:13.97Seani I just love that he is just doing side quests at the moment. Like, the guy's a genius.03:21.04AndrewZuck or T-Pain?03:22.12SeanNo, no, T-Pain. Zuck, I guess, is also doing a side quests at the moment, but like...03:23.46AndrewYeah.03:26.12SeanI'll just like I'll watch random youtubers and like sometimes T-Pain will just show up like like that are not related to things related to him you know I'm watching like a car guy youtuber boom T-Pain's winning a drift competition yeah I'm on twitch all of a sudden or I'm not on I'm browsing twitch and all of a sudden T-Pain's a streamer I don't know yeah03:28.43AndrewMm-hmm.03:36.42AndrewMm hmm. Holy shit, that's cool.03:47.23AndrewBy the way, on the Zuck side, I just listened to the acquired episode about Metta, and it made me realize that like. I feel like public perception of Metta is changing a little bit like I feel like Elon Musk buying Twitter.04:01.86SeanYeah.04:04.11Andrewhas kind of has taken a lot of the heat off of meta.04:06.90SeanYeah.04:07.45AndrewAnd so now everyone's like, Elon's elon's the evil one.04:09.12SeanHe's almost like, it could be so much worse.04:13.00AndrewAnd yeah, Elon's like, you guys think 2016 Facebook was bad?04:13.84SeanYeah.04:19.71AndrewBro, hold my drink.04:21.08SeanListen, when you gotta be the best at everything, you know?04:26.64AndrewIncluding being a massive fucking troll.04:28.86SeanYeah.04:30.46AndrewYeah, but it made me realize that like I don't hate meta as much as I used to. And I i don't know if that's like.04:35.61...

Vicky Gomersall is joined by The Mirror's Darren Lewis and Sky Sports' Dharmesh Sheth to reflect on the weekend's sporting action.We start by discussing Manchester City's loss at Brighton, a fourth consecutive defeat for Pep Guardiola.  It's “No Rodri, no party” for Dharmesh.  Meanwhile, Liverpool go five points clear of City with a home win over Aston Villa.  Were Liverpool overlooked at the beginning of the season?Elsewhere, Paul Merson returns to his old club to sit down with Mikel Arteta and Declan Rice; Arteta assures Merson that Arsenal are “here to win”, despite a recent dip in form.Also, Johnny Phillips discusses tactics with Enzo Maresca, who talks of keeping the identity of his team consistent, but finding solutions for different opposition.Finally, we talk Thomas Tuchel ahead of the international break.  Dharmesh questions “why's he not in charge now?” and believes there is pressure on both Tuchel and the FA.

In this episode of Demystify, hosts Dave and Dharmesh explore the future of finance with special guest Ronit Ghose, who leads Citi's Future of Finance think tank. Broadcasting from Dubai's vibrant tech hub, Ronit shares his perspectives on the city's meteoric rise as a global financial and tech powerhouse and reflects on how it contrasts with traditional hubs like London and New York. Ronit discusses the transformative impact of government support in Dubai's entrepreneurial ecosystem and the rise of Web3, digital assets, and tokenization. He brings in insights from his book, *The Future of Money*, which explores stories of fintech founders reshaping finance, from Brazil's digital banking to India's cash revolution. The episode culminates with Ronit's thoughts on evolving global financial centres, AI's potential, and why the U.S. dollar may remain dominant despite technological shifts. Tune in for a journey across continents, cultures, and currencies as the team unpacks what lies ahead for the world of finance.

Host Ricky Sacks and Matt Hayes are joined by Sky Sports News Presenter and Reporter in Dharmesh Sheth as we cover everything to do with Tottenham Hotspur during this summer transfer window. Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.com #THFC #TOTTENHAM #TRANSFERS Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sky Sports' Dharmesh Sheth brings the latest Manchester United Transfer News as Erik ten Hag advance talks for Manuel Ugarte. Joe Smith asks the questions! 0:00 - Video Start 1:18 - McTominay & Berge 8:38 - Ugarte 17:18 - Other Midfielders 20:09 - Toney 24:20 - Sancho 27:59 - Lindelof 30:37 - Casemiro 36:09 - Other Targets Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

രൂക്ഷമായ പ്ലാസ്റ്റിക് മലിനീകരണം നടത്തുന്ന ഇന്ത്യയിലെ പ്ലാസ്റ്റിക് വ്യവസായത്തെക്കുറിച്ചും കൺസ്യൂമർ ബ്രാന്റുകളെക്കുറിച്ചും മറ്റു കമ്പനികളെക്കുറിച്ചുമുള്ള അന്വേഷണമാണിത്. പ്ലാസ്റ്റിക് മലിനീകരണവുമായി ബന്ധപ്പെട്ട ഇന്ത്യൻ കോർപറേറ്റുകളുടെ ഇരട്ടത്താപ്പും നിരുത്തരവാദിത്തവും വെളിപ്പെടുത്തപ്പെടുന്നു. വൻകിട കമ്പനികളുടെ ആത്മാർത്ഥ സഹകരണമില്ലാതെ ഇന്ത്യക്ക് പ്ലാസ്റ്റിക് മാലിന്യ പ്രതിസന്ധി മറികടക്കാൻ കഴിയില്ലെന്ന് അന്താരാഷ്ട്ര പരിസ്ഥിതി നയവിശകലന വിദഗ്ധനായ ലേഖകൻ വ്യക്തമാക്കുന്നു Read Text| https://truecopythink.media/environment/dharmesh-sha-about-plastic-pollution-by-corporate-companies

Dharmesh Sheth - Football Reporter for Sky Sports News - is back with the latest Manchester United Transfer News! There's a defender conundrum that needs solving, as Leny Yoro mulls over his future to join Manchester United. Jarrad Branthwaite and Matthijs de Ligt remain options, while Manuel Ugarte could join from PSG. Joe Smith asks the questions! Become a member! - https://www.youtube.com/channel/UC7w8GnTF2Sp3wldDMtCCtVw/join 0:00 - Video Start 0:51 - Zirkzee 1:51 - Budget 4:33 - Sales Focus 8:14 - Centre-Backs 15:14 - New Strategy 20:11 - Ugarte 22:20 - Casemiro Stretford Paddock has content out EVERY DAY, make sure you're subscribed for your Man United fix! - https://bit.ly/DEVILSsub

Nominate Last Word On Spurs for Best Podcast - Premier League at the

In this podcast episode, hosts Dave and Dharmesh welcome authors Anette Brolos and Erin Taylor to discuss their new book "Customer-Centric Innovation in Finance". Erin, an anthropologist, and Anette, an economist, share their journey into studying financial behaviours and founding Finthropology, a company that combines finance and anthropology. In discussing their book, they emphasise the importance of qualitative research, such as interviews and observations, alongside quantitative data to understand customer behaviour deeply. They also highlight how traditional financial services often fail to meet customer needs, especially women, and why it's crucial to incorporate customer-centric design in financial products. The book captures their research over the past five years and explores how financial companies can benefit from qualitative insights. The book is available here: https://www.amazon.co.uk/Customer-Centric-Innovation-Finance-Leveraging-Insights/dp/1398613894 0:00 Welcome and Introductions 01:07 Meet the Authors: Anette and Erin' s Journey 03:54 Uncovering Financial Behaviors: The Finthropology Approach 07:37 Unveiling 'Customer Centric Innovation in Finance' 08:26 The Importance of Qualitative Research in Finance 10:42 Digital Transformation and Customer-Centric Solutions 15:31 The Future of Finance: Adapting to Rapid Changes 20:02 The Role of Technology in Financial Observations 23:55 Is the Finance Industry Ready for Change? 30:42 Practical Steps for Implementing Anthropological Methods

#NUFC #TransferWindow #PeteGraves #SkySports #Ashworth #FLTS #Loaded #NewcastleUnited #Transfers #SkySportsNews #DharmeshSheth We welcome out new sponsor Manscaped - Get 20% OFF @manscaped + Free Shipping with promo code " LOADED20 " at MANSCAPED.com! #ad #manscapedpod Business Email : loadedmagnufcinfo@gmail.com Become a Member of Loaded Mag NUFC - https://www.youtube.com/channel/UCk-tgHb5UPJEwkW7n8y4uag/join Follow us - YouTube : https://www.youtube.com/LoadedMagNUFC?sub_confirmation=1 Twitter : https://twitter.com/LoadedMagNUFC Instagram : https://www.instagram.com/loadedmagnufc/ TikTok : https://www.tiktok.com/@loadedmagnufc Spotify : https://open.spotify.com/show/6Q3LthQxgKsR1IrQPNolms iTunes : https://podcasts.apple.com/au/podcast/loaded-mag-nufc/id1635523831

In January 2023, California radiologist Dharmesh Patel intentionally drove his Tesla off a cliff with his wife and two children inside after suffering a “psychotic break” and extreme delusions. Miraculously, the entire family survived. When Patel recovered from his injuries, he was charged with three counts of attempted murder. Now, with the support of psychologists and Patel's own wife, he is being considered for a mental health diversion program rather than a criminal trial and prison time. In today's Headlines, Candice is joined by legal analyst Josh Ritter to take a closer look at what diversion programs are, and how the program could positively or negatively impact Patel's case. Candice and Josh weigh the pros and cons of using the judicial system to solve mental health problems.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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

"And he gave a very (interesting) thought experiment. He said, go to your Facebook, remove all your school friends, remove all your relatives, remove all your college friends, work friends. And, if you're able to get 10 people after removing all of this, then probably you're lucky. Okay. I think that had a very profound impact to say that, you know… It was true, right? You know, because all the people that I knew, we're all from the same college, same school, same town, blah, blah, right? You know, you would never have like a Swiggy delivery executive as a part of your Facebook friend list, right? You would never have someone who is a farmer as a part of your WhatsApp contact list, right? Which means that, you know, our worldviews are generally also limited, right? So research allows you to break away from that and meet other people and gives you an opportunity to learn about their stories."Welcome to the Story Rules podcast with me, Ravishankar Iyer, where we learn from some of the best storytellers in the world, find their story, and unearth the secrets of their craft.Today we speak with Dharmesh Ba, a behavioural researcher who writes the popular India Notes newsletter and is the founder of 1990 Research Labs.I came across Dharmesh through leading India-based VC Sajith Pai – who dubbed him as ‘Indus Valley's chief anthropologist' (though Dharmesh prefers the term ‘ethnographer').In simpler terms, Dharmesh is an expert on the art and craft of understanding user behavior and motivations, through detailed personal interviews - so that we can design better products and services. Why is this important? I remember an interview from Oct-2019 of Kalyan Krishnamurthy, the CEO of Flipkart, where he stated the importance of this task. His key point: The e-commerce puzzle had been solved for the top-tier users in the country – the top 8 cities. But for the vast middle and bottom tiers, product managers would need to completely reimagine every aspect of the product from the ground up. They can only do that by a comprehensive understanding of user behaviour in their context and environment.Dharmesh and his team are among the ones at the forefront of this initiative – to understand user behaviour. Their clients include leading corporates and non-profits which are building products and services for these hundreds of millions of aspiring Indians… and Dharmesh and team are doing the critical and under-appreciated task of deeply understanding their world.They do this through in-depth, well-researched and structured conversations with the users. There's a lot of science and craft that Dharmesh uses to ensure that the interviewee trusts him and is willing to share the true reasons for their choices. We will learn about them in this podcast conversation.And while we will learn about interviewing techniques, analysis approaches, and presentation tips, the overarching message I could glean after speaking with Dharmesh was – be curious, empathetic, and respectful.It's a must-listen conversation for anyone keen on conducting detailed user interviews, analysing the responses, and coming up with clear recommendations – for product design, research, employee well-being – multiple use cases.Let's dive in.Show Notes:Dharmesh on LinkedIn and TwitterLink Tree with most popular links and work by DharmeshIndia Notes Newsletter

Host Ricky Sacks and Jamie Brown are joined by Sky Sports News Presenter and Reporter in Dharmesh Sheth as we cover everything to do with Tottenham Hotspur during this January transfer window along with the headline news of Tottenham Hotspur agreeing a deal to sign Genoa defender Radu Dragusin after fending off competition from Bayern Munich. Dragusin has flown to London to complete the deal with Djed Spence heading in the opposite direction as part of this transfer agreement, representing Genoa on loan for the remainder of the current campaign. Everyone likes a beer and if you don't there's a good chance you know someone who does. Beer Passport features 70 unique taprooms around London where you can get an exclusive offer at each one you visit like Buy One Get One Free, 50% off a flight of beer, or even a FREE pint. You'll be drinking the freshest beers directly from the source and you'll get a stamp at each taproom you visit, just like your own passport! If you're partial to a pre-match pint, Beer Passport has several local brewery taprooms near the ground. Beer Passport is perfect for those looking to find somewhere to drink before the match and for those of you who like to get out and about for a drink on non-match days. Head to https://www.beerpassport.co.uk and use code LWOSBEER for 20% off a passport." To grab our exclusive discount off your NordVPN plan - go to https://www.nordvpn.com/lwos - you'll also receive 4 extra months for free and there's no risk with Nord's 30 day money-back guarantee! Sportsbreaks.com is a new customer brand formed offering unforgettable sports travel experiences, for fans by fans. They take the hassle out of your experience and send you to bucket-list sporting events all across the globe, of couse including watching our beloved Tottenham Hotspur. See Spurs in style by going to: https://www.sportsbreaks.com/Football/Premier-League/Tottenham-Hotspur Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.com #THFC #TOTTENHAM #TRANSFERS Learn more about your ad choices. Visit megaphone.fm/adchoices

Technology is ever advancing, and it's critical for community bankers to stay ahead of it. According to Dharmesh Mistry of FinTech Futures, a media platform dedicated to global banking and the fintech industry, three of those trends are generative AI, faster payments and the cloud.   “2024 can continue to be a transformative year for community banks. Cloud is a way to pursue that to drive down some of the costs, create some more efficiencies,” Mistry says. “It's not just about pure expense reduction and revenue growth but creating more efficient operations, and I think that's a very interesting and important trend that we should definitely all pay attention to in 2024.”   Mistry joins Charles Potts to look at the fintech trends of 2023 and what community banks need to pay attention to as we enter 2024.   This episode is sponsored by FIS.   The November issue of Independent Banker provides insight on the strides made in AI and other need-to-know technology.

In the final episode of season four of the What the FinTech? podcast, FinTech Futures editor Paul Hindle is joined by writer, podcaster and banking technology veteran Dharmesh Mistry to take a look back at some of the biggest trends to come out of 2023 and discuss what the new year might bring for the sector. The pair cover topics including generative AI, core banking modernisation, the state of the global economy and its impact on the banking sector, fintech funding trends, cryptocurrency and much more. And finally, in the spirit of the holidays, Paul and Dharmesh decide to each release an incarcerated buzzword from our Fintech Jail (and cast another one away for good measure)! The What the FinTech? podcast will return for season five in the new year. Stay tuned! Thanks as always to Orama for editing this podcast. You can find out more about Orama and the services they offer here. https://orama.tv/ Take a look at our catalogue of episodes on the What the FinTech? homepage. https://www.fintechfutures.com/content-hub/what-the-fintech-podcast/

Brought to you by Vanta—Automate compliance. Simplify security | Sidebar—Catalyze your career with a Personal Board of Directors | Merge—A single API to add hundreds of integrations into your app—Christopher Miller serves as the VP of Product for Growth and AI at HubSpot. Having spent the past seven years at HubSpot, Chris has been at the center of one of the biggest B2B growth stories in history—leading HubSpot's early growth strategy, their shift to PLG, and now their investment in AI. Beyond his role at HubSpot, he lends his expertise to founders advising them on PLG and their growth strategy broadly. In today's podcast, we discuss:• The principles of winning teams, careers, and companies• What customer obsession looks like in practice• How sneaking into a party led to a career opportunity• Advice for breaking into product management• How to find mentors• The top four skills for growth roles• Lessons from building HubSpot's famous PLG motion—Find the full transcript at: https://www.lennyspodcast.com/relentless-curiosity-radical-accountability-and-hubspots-winning-growth-formula-christopher-mil/#transcript—Where to find Chris Miller:• LinkedIn: https://www.linkedin.com/in/christopherwilliammiller/• Instagram: https://www.instagram.com/millsyjoeyoung/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• Twitter: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Chris's background(04:15) Chris's role at HubSpot leading Growth and AI teams(09:17) The story of how Chris crashed a party and pitched his idea around pricing and packaging(12:25) Relentless curiosity and other important traits to have as a PM(16:52) How Chris broke into product management and advice for others wanting to do the same(22:12) Helpful tips for learning the craft of product management(26:30) Why you should talk to customers, former customers, and potential customers(29:34) Mentors vs. sponsors, and advice for finding people who will help you grow(34:02) What makes HubSpot unique(36:07) Customer obsession in action(40:23) How staying in the mid-market space has benefited HubSpot(42:10) HubSpot's culture code(45:10) Fun rituals at HubSpot(47:36) Key elements that contributed to HubSpot's early growth(55:00) Fallacies of product-led companies and how HubSpot embraced PLG(1:00:48) Advice for companies wanting to become more product-led(1:04:35) Common mistakes to avoid when trying to start a PLG motion(1:07:53) How HubSpot structures growth loops(1:10:50) The importance of aggressive experimentation within new channels(1:16:11) How Covid accelerated growth at HubSpot(1:17:59) Lightning round—Referenced:• Kyle Poyar on LinkedIn: https://www.linkedin.com/in/kyle-poyar/• Mariah Muscato on LinkedIn: https://www.linkedin.com/in/mariahmuscato/• Ken Norton on Lenny's Podcast: https://www.lennyspodcast.com/how-to-unlock-your-product-leadership-skills-ken-norton-ex-google/• Fareed Mosavat on Lenny's Podcast: https://www.lennyspodcast.com/videos/how-to-build-trust-and-grow-as-a-product-leader-fareed-mosavat-reforge-slack-instacart-pixar/• Jules Walter on Lenny's Podcast: https://www.lennyspodcast.com/leveraging-mentors-to-uplevel-your-career-jules-walter-youtube-slack/• The Culture Code at HubSpot: https://blog.hubspot.com/blog/tabid/6307/bid/34234/the-hubspot-culture-code-creating-a-company-we-love.aspx• Brian Balfour on LinkedIn: https://www.linkedin.com/in/bbalfour/• Dharmesh on Twitter: https://twitter.com/dharmesh• ChatSpot: https://chatspot.ai/• Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are: https://www.amazon.com/Everybody-Lies-Internet-About-Really/dp/0062390856• Chop Wood Carry Water: How to Fall in Love with the Process of Becoming Great: https://www.amazon.com/Chop-Wood-Carry-Water-Becoming/dp/153698440X• The Score Takes Care of Itself: My Philosophy of Leadership: https://www.amazon.com/Score-Takes-Care-Itself-Philosophy/dp/1591843472/• I'm a Virgo on Amazon Prime: https://www.amazon.com/Im-A-Virgo-Season-1/dp/B0B8PXXV2M• Barry on HBO: https://www.hbo.com/barry• Succession on HBO: https://www.hbo.com/succession• Building a great product management organization: https://stripe.com/it-es/guides/atlas/building-a-great-pm-org• Garmin watch: https://www.amazon.com/Garmin-010-02174-01-Vivoactive-Smartwatch-Refurbished/dp/B0BPCNKBW1• Fernet: https://en.wikipedia.org/wiki/Fernet—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

This Week in Startups is brought to you by… Vanta. Compliance and security shouldn't be a deal-breaker for startups to win new business. Vanta makes it easy for companies to get a SOC 2 report fast. TWiST listeners can get $1,000 off for a limited time at vanta.com/twist Crowdbotics. Great ideas can change the world, and Crowdbotics is the fastest way to turn those ideas into code. Get a free scoping session for your next big app idea at crowdbotics.com/twist Fitbod. Tired of doing the same workouts at the gym? Fitbod will build you personalized workouts that help you progress with every set. Get 25% off your subscription or try out the app for FREE when you sign up now at fitbod.me/TWIST. * Today's show: HubSpot CTO Dharmesh Shah joins Jason to discuss his angel investing origin and strategies (2:36), HubSpot's journey from a startup to a public company (6:19), the potential of generative AI (42:03), and much more! * Time stamps: (00:00) HubSpot Co-Founder and CTO Dharmesh Shah joins Jason (2:36) Dharmesh explains what prompted his angel investing journey (6:19) HubSpots journey from startup to where it stands today (8:48) Dharmesh's decision to focus on Small Minus Big (SMB) investing (11:12) Vanta - Get $1000 off your SOC 2 at https://vanta.com/twist (12:19) SMB investing conversation continued (16:08) The difference in cycles between big and small businesses (17:45) The best reason to start a company (21:25) Ways to go about assessing ideas (23:29) Crowdbotics - Get a free scoping session for your next big app idea at crowdbotics.com/twist (28:34) Breaking down the entrepreneurial work ethic (34:15) Anticapitalist sentiment in the U.S. (38:11) Fitbod - Get 25% off at https://fitbod.me/twist (39:40) Starting a business in a downturn (42:03) AI's impact on business and Business Process Automation (BPA) (46:39) Dharmesh's thoughts on the next stage of AI and the effect on jobs (54:41) How AI will lead to more efficient organizations and increase margins * Follow Dharmesh: https://twitter.com/dharmesh * Read LAUNCH Fund 4 Deal Memo: https://www.launch.co/four Apply for Funding: https://www.launch.co/apply Buy ANGEL: https://www.angelthebook.com Great recent interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland, PrayingForExits, Jenny Lefcourt Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow Jason: Twitter: https://twitter.com/jason Instagram: https://www.instagram.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin * Subscribe to the Founder University Podcast: https://www.founder.university/podcast

Host Ricky Sacks and Matt Hayes are joined by Journalist & Broadcaster Dharmesh Sheth via Sky Sports News as we we cover everything to do with Tottenham Hotspur during this summer transfer window. A new centre-back is the next priority for Tottenham, Bayer Leverkusen's Edmond Tapsoba and Wolfsburg's Micky van de Ven are the centre-backs they are interested in. Fulham's Tosin Adarabioyo is also on the target list, Adarabioyo wants to leave Fulham and can play both right and left centre-back. Tottenham want to sign at least one centre-back and how many they do will depend on outgoings. Davinson Sanchez's future is particularly uncertain and Clement Lenglet - who featured prevalently last season - has already returned to Barcelona from a loan. Tottenham and Bayern Munich have held talks over the signing of England captain Harry Kane, as the striker prepares to meet new Spurs boss Ange Postecoglou on Wednesday. Dialogue remains open between the clubs but no deal is agreed and a huge difference of opinion exists around the valuation of Kane. Kane has not closed any avenue available to him, including staying in north London, but he would be open to formally speaking with the German champions should Spurs accept an offer. Grab an EXCLUSIVE Huge Discount off your NordVPN Plan + a Bonus Gift by going to ➼ https://nordvpn.com/lwos An independent Tottenham Hotspur Fan Channel providing instant post-match analysis and previews to every single Spurs match along with a range of former players, managers & special guests. Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.co.uk #THFC #TOTTENHAM #COYS Learn more about your ad choices. Visit megaphone.fm/adchoices

Your company's culture is the bedrock of everything you do. So you can't afford to just let your culture emerge — you need to build it with the deliberate approach of a product designer. Then you need to bring that culture to life by winning buy-in from your team.This is exactly what Dharmesh Shah did at HubSpot — as laid out in the famed HubSpot Culture Code. This living document continues to inspire founders and business leaders to adopt a product design approach to building their own vibrant and adaptable company cultures.In this episode, Dharmesh talks through the inspiration behind the Culture Code, and reveals how he built and rebuilt some of its most inspiring elements — all while keeping his team invested.Read a transcript of this episode: https://mastersofscale.com/Subscribe to the Masters of Scale weekly newsletter: https://mastersofscale.com/subscribeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Dharmesh Babaria is a holistic health coach and healer, and breathwork facilitator. He has completely transformed his own life through his health and wellness journey, from being overweight, suppressing his authentic self, using drugs as a coping mechanism, to truly loving himself and living a soul-aligned life. Now, he works with clients to help them unlock their fullest potential!In this episode we discuss:the 7 energy centers in the body known as chakrashow to identify when your chakras are out balancesmantras to help balance each chakraliving your most aligned lifebecoming a magnet for your desiresopening yourself to abundanceholistic healingliving from a place of loveself-worth & authentic self-expression& so much more!Connect with Dharmesh on Instagram @dhafittest & reach out to him to work with him directly!Please SHARE this episode if you found it helpful, and leave a RATING & REVIEW!Support the show

Episode 438: Shaan Puri (@ShaanVP) and Sam Parr (@TheSamParr) talk to Hubspot Co-founder and CTO, Dharmesh Shah (@dharmesh), about all things artificial intelligence (AI), the countless business opportunities from AI, and why Dharmesh is saying AI is - and will be - bigger than the internet. Want to see more MFM? Subscribe to the MFM YouTube channel here. SHAAN'S NEW DAILY NEWSLETTER --> shaanpuri.com ----- Links: * OpenAI * LangChain * Chat * ChatSpot * Gates Notes AI article * Do you love MFM and want to see Sam and Shaan's smiling faces? Subscribe to our Youtube channel. ------ Show Notes: (00:50) - Open AI (10:15) - The Chat to Code Revolution (17:45) - How does AI work? (19:03) - Is AI scary? (23:40) - Sequoia's AI Event (29:05) - Vector embeddings (43:15) - Why Dharmesh Bought Chat.com (50:45) - Dharmesh's 17 Year Chatbot Journey (01:00:10) - Tactical Advice on Hampton ----- 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. ----- Additional 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

On January 2, 2023, Dr Dharmesh Patel was driving his Tesla in Northern California.  In the vehicle were his wife Neha, and their two young children.   Exactly what happened is largely unknown, but Dharmesh allegedly steered the vehicle off the road and over a 300 foot cliff.  Miraculously, the entire family survived the incident.  As they were being rescued, Neha told paramedics that Dharmesh had deliberately tried to kill the entire family.   Join us for this episode of the True Crime Society Podcast as we discuss three cases of men who either attempted to kill or were successful in killing their families. Michael and Tausha Haight had been married for over 20 years.  There had been some incidents where police were called to the family home in the past in relation to Michael's behavior, but no charges were ever filed.  In December 2022, Tausha filed for divorce.  On January 4, 2023, Michael's daughter Macie texted a friend to say that her dad was acting weird.  When neighbors got to the Haight house, the found Michael and Tausha and their five children dead.  Tausha's mother had also been murdered.  Was the divorce the final straw for Michael? Actor Robert Crayton was experiencing a mental health crisis.  He had been involuntarily committed in the past.  On January 7, 2023, Robert's oldest child ran screaming from the family home in North Carolina.  Robert had murdered his wife and three of their children before he turned the gun on himself.     If you'd like to skip straight to the crime content, please goto 11.50. Read our blogs for these cases - https://truecrimesocietyblog.com/2023/02/01/actor-robert-crayton-killed-his-family-in-a-murder-suicide/  https://truecrimesocietyblog.com/2023/02/01/michael-haight-killed-7-of-his-family-members-in-a-murder-suicide/ https://truecrimesocietyblog.com/2023/01/15/dr-dharmesh-patel-41-attempted-to-kill-his-family-by-driving-their-tesla-off-a-300-foot-cliff/ This episode is sponsored by: Microdose Gummies - Go to microdose.com and use code TCS for 30% off your first order of THC gummies. Babbel - Start your new language-learning journey today with Babbel.  Visit Babbel.com/tcs for up to 55% off your subscription.    

Host Ricky Sacks and Co-Host Matt Hayes are joined by Presenter, Broadcaster and Journalist for Sky Sports News in Dharmesh Sheth as we discuss Spurs' first signing of the window in Arnaut Danjuma from Villarreal, Antonio Conte and Fabio Paratici future's, along with potential incomings, out-goings, possible targets during this January transfer window. A quick shout out from our sponsors at the Beavertown Corner Pin. That's the Beavertown pub bang opposite the South Stand. If you're looking for a change to your usual beer, or thinking of trying something a bit different this January then Beavertown have got a cracking alcohol free IPA, Lazer Crush. That's Lazer Crush Alcohol free IPA, available in good grocery shops and online at: https://beavertownbrewery.co.uk/collections/alcohol-free-beer You can also book your spot to future televised away games on their website: https://beavertownbrewery.co.uk/pages/corner-pin Grab your EXCLUSIVE NordVPN Deal by going to ➼ https://nordvpn.com/lwos Try it risk-free now with a 30-day money-back guarantee! An independent Tottenham Hotspur Fan Channel providing instant post-match analysis and previews to every single Spurs match along with a range of former players, managers & special guests. Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.com #THFC #TOTTENHAM #TRANSFERS Learn more about your ad choices. Visit megaphone.fm/adchoices

The Daily Tottenham/Spurs Podcast Hosted by Chris Cowlin Hosted on Acast. See acast.com/privacy for more information.

The miraculous rescue of a family of four inside a Tesla that careened 250 feet off of a California cliff side has turned into an attempted murder investigation. Dr. Dharmesh A. Patel has been arrested for attempted murder and child abuse in the matter. https://www.nytimes.com/2023/01/03/business/devils-slide-cliff-car-california.html?fbclid=IwAR0XFe7h2SMRuFJz9-9Ayv474EM1sLs_GmaDBDhgw441df4h9LYuVxUCu0c https://abc7.com/tesla-crash-devils-slide-pasadena-man-arrested-dharmesh-a-patel/12647915/?fbclid=IwAR13hY6eJCN-Hv4bfEAoPjwo5SXaoMYy6gWYdmjQicBUYV5oUL6h6T8oQUs https://www.latimes.com/california/story/2023-01-03/tesla-driver-arrested-california-cliff-crash-called-intentional https://people.com/crime/tesla-driver-that-went-over-calif-cliff-charged-for-attempted-murder/ https://lawandcrime.com/crime/an-intentional-act-california-dad-allegedly-drove-tesla-carrying-wife-and-two-young-kids-off-devils-slide-cliff/ Oh, Idaho Bryan Kohberger https://twitter.com/BrianEntin?t=6-wUJ0sh18P-UvSClRgpDg&s=01&fbclid=IwAR3BXz09pfOJLSiRs0vTyB5i9LLibkJYWIfDFRBWlvG1S3xPFLrZAGQfqFY Crime News James Michael Wright https://wcyb.com/news/local/accused-mendota-serial-killer-pleads-guilty-to-3-murders-sentenced-to-life-in-prison-james-michael-wright-washington-county-athena-hopson-elizabeth-vanmeter-jocelyn-alsup?fbclid=IwAR2rtJ925IRb3vinLoroWuBEbHc7MM8w1KG6ekcmde3qACrWIoK4xmiAANU *Social Media Links* Facebook: www.facebook.com/truecrimesquad Facebook Discussion Group: https://www.facebook.com/groups/215774426330767 Website: https://www.truecrimesquad.com TikTok: https://www.tiktok.com/@truecrimesquad Our Latest Video: https://youtu.be/wRXWQvUWxh0 Check Out Some of Our Previous Uploads! Patriot Front in Coeur d'Alene, Mark Middleton, Baby Holly https://youtu.be/Fz7vTzUiKIw Shasta Groene, The VHS Bandit, Nancy Brophy found guilty https://youtu.be/Bhu1Do0J_bQ The Girl Scout Murders, Diane Lynn Dahn, Heather Marie Underwood https://youtu.be/UdQrQ7yjtpE True Crime Paranormal on Spotify https://open.spotify.com/show/5gIPqBHJLftbXdRgs1Bqm1 True Crime Paranormal on Apple https://podcasts.apple.com/us/podcast/true-crime-paranormal/id1525438711?ls=1 Kristi's Crystal Shop https://www.ehcrystals.com/

#1551: Kari Lake gives an update…“We will reform our elections come hell or high water!” + Dharmesh Vora gives an inflation update.  #1551: Thursday, November 10, 2022   0:00-22:00 Inflation still red hot but media and Fed tout the 1/2pt annualized decrease. Meanwhile in Phoenix, inflation rages at highest in the nation. Jeff breaks it all down. + Oregon counties vote to secede to Idaho    22:01-32:51 Kari Lake returns with an update and promises to reform the way we vote in Arizona as the nation continues to wait for Maricopa County to count votes.    32:52-43:15 Jeff gives on update on the state of the race in Arizona's 9 Congressional districts.    43:16-74:05 Dharmesh Vora shares the latest CPI inflation data including Phoenix at the highest in the nation. Dahrmesh also gives some advice on getting ahead in a tough financial environment. https://vorafinancial.com

Dharmesh Sheth joins Vicky and Darren this week to discuss Liverpool's defeat at home to Leeds, Graham Potter's nightmare return to the AMEX and Spurs leaving it late to defeat Bournemouth.Erik ten Hag spoke to Dharmesh to discuss Manchester United's start to the season and The Athletic's George Caulkin joins to assess whether Newcastle are now genuine top-four contenders.Kaveh Solkehol sits down with actor and comedian Omid Djalili to discuss the political turmoil, violence and ongoing protests in Iran and what it means ahead of their World Cup match with England.

Episode 364: Shaan Puri (@ShaanVP) and Sam Parr (@TheSamParr) talk about lessons from lunch with billionaire, Dharmesh Shah, the power of fierce nerds, and the latest D2C business idea from Shaan... a D2C IQ test company. ----- Links: * Fierce Nerds * Ben's IQ Test * CliftonStrengths * Block Renovation * Made Renovation * Do you love MFM and want to see Sam and Shaan's smiling faces? Subscribe to our Youtube channel. * Want more insights like MFM? Check out Shaan's newsletter. ------ Show Notes: (06:10) - Lessons from lunch with Dharmesh (13:50) - Finding the medium where you're most comfortable (24:50) - Six random domains that Shaan owns (32:05) - Idea: D2C IQ Test Company (39:00) - Idea: Apple for the bathroom (48:25) - Concept: A Deal Doula ----- 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. ----- Additional 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

On this weeks episode, we have a transfer special as Nubaid is joined by Sky Sports transfer man Dharmesh Sheth to discuss what happens behind the scenes during a transfer window, Cristiano Ronaldo's ongoing drama, Liverpool's midfield dilemma and how Fabrizio Romano became the go to guy. Leave a like, comment or rating and find us on socials at @noratingspod Hosted on Acast. See acast.com/privacy for more information.

Host Ricky Sacks and Jamie Brown from Daily Hotspur are joined by Sky Sports News Broadcaster, Reporter and Journalist Dharmesh Sheth as we cover everything to do with Tottenham Hotspur including incomings, out-goings, possible targets during this summer transfer window. A quick shout out to our episode sponsors at Beavertown and the Beavertown Corner Pin pub. That's the Beavertown pub bang opposite the South Stand. Book your spot to the game against Chelsea on their website: https://beavertownbrewery.co.uk/pages/corner-pin Grab your EXCLUSIVE NordVPN Deal by going to: https://nordvpn.com/lwos To get a Huge Discount off your NordVPN Plan + Threat Protection + 1 additional month for free . It's completely risk free with Nord's 30 day money-back guarantee! Condoms help prevent the 1M STI's that are aquired daily. SFTW will donate over 10% of their profits in support of mental health and good causes, and in the hope of making someone, somewhere feel better. Free discreet delivery by Royal Mail by 2nd class post. Express delivery option available. Please note: We are currently only delivering to addresses within mainland UK https://sftw.co.uk/ An independent Tottenham Hotspur Fan Channel providing instant post-match analysis and previews to every single Spurs match along with a range of former players, managers & special guests. Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.co.uk #THFC #TOTTENHAM #COYS om/Football/Premier-League/Tottenham-Hotspur Condoms help prevent the 1M STI's that are aquired daily. SFTW will donate over 10% of their profits in support of mental health and good causes, and in the hope of making someone, somewhere feel better. Free discreet delivery by Royal Mail by 2nd class post. Express delivery option available. Please note: We are currently only delivering to addresses within mainland UK https://sftw.co.uk/ Grab your EXCLUSIVE NordVPN Deal by going to nordvpn.com/lwos or use code lwos to get a Huge Discount off your NordVPN Plan + Threat Protection + 1 additional month for free . It's completely risk free with Nord's 30 day money-back guarantee! An independent Tottenham Hotspur Fan Channel providing instant post-match analysis and previews to every single Spurs match along with a range of former players, managers & special guests. Please can we ask you to take this opportunity to *SUBSCRIBE* to the Last Word On Spurs and THANKS FOR WATCHING. Whilst watching our content we would greatly appreciate if you can LIKE the video and SUBSCRIBE to the channel, along with leaving a COMMENT below. - DIRECT CHANNEL INFORMATION: - Media/General Enquiries: lastwordonspurs@outlook.com - SOCIALS: * Twitter: https://www.twitter.com/LastWordOnSpurs * Instagram: https://www.instagram.com/LastWordOnSpurs * Facebook: https://www.facebook.com/LastWordOnSpurs * Clubhouse: https://www.clubhouse.com/@LastWordOnSpurs * YouTube: https://www.youtube.com/c/LastWordOnSpurs WEBSITE: www.lastwordonspurs.co.uk #THFC #TOTTENHAM #COYS Learn more about your ad choices. Visit megaphone.fm/adchoices

SPURS CHAT PODCAST: TRANSFER SPECIAL: Spurs in the Transfer Window: With Dharmesh Sheth (Sports Journalist, Sky Sports) - (Daily Tottenham/Spurs Podcast) + THANKS FOR LISTENING! Please FOLLOW, SHARE and leave a REVIEW.  + CONTENT:  * Chris Cowlin talks to Sky Sports reporter Dharmesh Sheth about Tottenham in the Transfer Window  * Watch Chris on YouTube: www.youtube.com/c/chriscowlin + MEDIA ENQUIRIES ABOUT THE CHANNEL/PODCAST: * Enquiries: tottenhamfanchris@gmail.com  * This is a Tottenham Hotspur fan channel, providing podcasts on breaking club news, fan interviews, legend interviews, following Spurs home and away, all around the world, including U23, U19, U18 and Spurs women matches. Chris Cowlin likes to present, with passion, the latest Spurs news and facts to Tottenham fans all around the world and to share his experiences of following this wonderful club. Remember to follow this podcast, and COME ON YOU SPURS!  * Chris is a regular on television and radio shows talking about all things Tottenham; most recently on BBC1, Sky Sports News, BBC Radio 5 Live and talkSport. Chris has also appeared on the recent documentaries on Tottenham Hotspur: "Sonsational: The Making of Heung-Min Son" (Korea's tvN, 2019), "All or Nothing: Tottenham Hotspur" (Amazon, 2020) and "Pochettino: le Film" (RMC Sport, 2021). Chris also presented two official videos for Tottenham Hotspur Football Club (2019) based on the opening of the Tottenham Hotspur Stadium.  + LONDON MARATHON: PLEASE SPONSOR ME: * I'm running the London Marathon on 2 October 2022, for Prostate Cancer UK. I have a fundraising target of £5,000. Please support this wonderful charity if you can: https://justgiving.com/fundraising/chriscowlin2022 + CHANNEL SPONSORS: * Live Football On TV: https://www.live-footballontv.com/?utm_source=instagram&utm_medium=chris-cowlin * William Hill: https://www.williamhillplc.com * Zouch Converters: https://www.zouchconverters.co.uk + YOUTUBE CHANNEL AWARDS & NOMINATIONS: * Football Blogging Awards Winner 2019: "Best Club Content Creator"  * Football Blogging Awards Finalist 2019: “Best Vlogger”  * Football Content Awards Finalist 2020: “Best Club Content Creator"  * Football Content Awards Finalist 2021: “Best Club Content Creator"  * Football Content Awards Finalist 2021: “Best Content Creator"  * Football Content Awards Finalist 2021: “Best In Video"  + LINKS:  * Media Enquires: tottenhamfanchris@gmail.com  * Website: https://www.spurschat.com  * Twitter: https://www.twitter.com/chriscowlin * Instagram: https://www.instagram.com/chriscowlin  * Facebook: https://www.facebook.com/TottenhamFanChrisCowlin * Tik Tok: https://www.tiktok.com/@chriscowlin * Clubhouse: https://www.clubhouse.com/@chriscowlin * YouTube: https://www.youtube.com/user/cowlinchristopher  * YouTube Member: Join this channel to get access to perks: https://www.youtube.com/channel/UCB9aWK0xfz2P-Ny2nsXGHrA/join * Purchase Books: https://www.amazon.co.uk/Chris-Cowlin/e/B002I7M0VA + AUDIO VERSIONS:  * Amazon Music: https://music.amazon.com/podcasts/cae5d1ec-c69e-4733-b2ba-c0caa31a4c19  * Apple Podcasts: https://podcasts.apple.com/mt/podcast/spurs-chat-discussing-all-things-tottenham-hotspur/id1618648055  * Audible: https://www.audible.co.uk/pd/Podcast/B08JJYWMGS  * Audioboom: https://audioboom.com/channels/5071933  * Deezer: http://www.deezer.com/show/3415742  * Google Podcasts:  https://podcasts.google.com/feed/aHR0cHM6Ly9hdWRpb2Jvb20uY29tL2NoYW5uZWxzLzUwNzE5MzMucnNz?ep=14  * iHeart:  https://iheart.com/podcast/92963992  * JioSaavn:  https://www.jiosaavn.com/shows/Spurs-Chat:-Discussing-all-Things-Tottenham-Hotspur:-Hosted-by-Chris-Cowlin/1/rXt7GeNPWX4_  * Listen Notes: https://www.listennotes.com/c/11077624ad3840cda8c6f218c75d2b38/  * Player FM: https://player.fm/series/series-3316888  * Podcasher: https://www.podchaser.com/podcasts/spurs-chat-discussing-all-thin-4250711  * Podcast Addict: https://podcastaddict.com/podcast/3832755  * Radio Public: https://radiopublic.com/spurs-chat-discussing-all-things-Wem3eY  * Reason FM: https://reason.fm/podcast/spurs-chat-discussing-all-things-tottenham-hotspur-hosted-by-chris-cowlin-the-daily-tottenhamspurs-podcast  * Spotify: https://open.spotify.com/show/3hFwtomVKnmAuy8P4TYoPJ   + MUSIC: * Intro and outro music titled "The Trophies Are Coming" (by Gui Moraes). * Voiceover: Darren Altman: https://www.darrenaltman.com

Why is Revenue Operations so complex?  Each piece of the overall revenue operations framework is highly dependent on one another and one change can easily trigger a domino effect of changes. In this episode of The Revenue Engine, Dharmesh Singh, the CEO and Co-Founder at fullcast.io discusses the complexities and interdependencies of operations and how we can best align strategy to execution to optimize the revenue engine.

Dharmesh Shah is the Founder and CTO @ Hubspot, a full CRM platform with marketing, sales, service, and CMS software. Dharmesh started Hubspot in 2006 and today it is a publicly-traded company (NYSE: HUBS) with over 3,500+ people and a market capitalization of $16.9 billion. Prior to founding HubSpot, Dharmesh founded Pyramid Digital Solutions, which he bootstrapped with less than $10,000 and after 11 years of CEOship, Dharmesh helped the company get acquired in 2005 by SunGard Business Systems. In addition to co-authoring “Inbound Marketing" Dharmesh founded and writes for OnStartups.com -- a top-ranking startup blog and community with more than 1,000,000 members. Finally, if all of this was not enough, he is an angel investor in over 90 startups, including Coinbase, AngelList, Gusto, Okta and many more. and a frequent speaker on startups, growth, and the business of technology. In Today's Episode with Dharmesh Shah We Discuss: 1.) The Founding of Hubspot: How did Dharmesh's wife help Dharmesh find his co-founder in Brian? What about SMB did both Dharmesh and Brian find a shared passion for? What is the single biggest mistake Dharmesh made in the early days of Hubspot? 2.) The Culture Code: What is Dharmesh's single biggest advice to founders when it comes to culture? What does Dharmesh mean when he says "you have to treat culture like a product"? What does Dharmesh mean when he says he looks for a "low ego to accomplishment ratio"? How does he test for this when hiring new hires? How do the best people approach both responsibility and accountability? How does this show in their work and behaviour? 3.) The 3 Kinds of Risk in Startups: What does Dharmesh believe are the 3 core risks all startups face in the early days? How does Dharmesh advise founders when it comes to "testing for a market"? What is the right way to do customer discovery? What are the biggest mistakes founders make in the discovery process? How does Dharmesh advise founders on when to release their second product? What is the right framework for this decision? Where do so many founders make mistakes here? How does Dharmesh approach market timing risk? What have been his biggest lessons here? 4.) SMB vs Enterprise: Why does Dharmesh believe that SMB is the single best market for founders to choose? What are the single biggest challenges with enterprise? How do the long sales cycles and contracts in enterprise hide both customer satisfaction and prevent product development? What are some of Dharmesh's biggest lessons on pricing? Does Dharmesh agree you should always "raise your prices"? How does Dharmesh advise founders on when is the right time to go into enterprise from SMB? What are the single biggest changes founders need to know when making the move from SMB to enterprise? 5.) Angel Investing 101: What are Dharmesh's rules when it comes to angel investing? What have been some of Dharmesh's biggest lessons from analysing thousands of emails to founders pre-investing? What are the biggest signs in emails of future founder success? Why does Dharmesh not have calls with founders before investing? What are some of the biggest mistakes Dharmesh has made when angel investing? Items Mentioned in Today's Episode with Dharmesh Shah: The Hubspot Culture Code Dharmesh's Favourite Book: Les Miserables

Nicole gets to know Ambassador Sitecore MVP, Dharmesh Harji.

The word 'visionary' gets thrown around a lot, but is certainly appropriate for this weeks #siliconzombies guest:

Having started out as a marketing applications company, HubSpot's goal today is to be the number one platform for scaling companies.  In this episode, co-founder and CTO Dharmesh Shah shares some of the most important lessons he has learned on the journey since HubSpot's founding in 2006.HubSpot's journey to becoming a CRM platform (1:17)How to measure success as a platform (3:14)How to attract partners to the platform (5:52) and striking the balance between established partners and new native apps (8:01)Importance of being a joy to partner with (8:55) and culture of solving for the customer (11:51)It's ok to have conflict and competition (14:32)Investing in the core vs opening up the platform (16:53)A couple platforms Dharmesh admires (25:45)Parting thoughts on monetization (28:36) Guest: Dharmesh ShahDharmesh Shah is co-founder and CTO of HubSpot. Prior to founding HubSpot in 2006, Dharmesh was founder and CEO of Pyramid Digital Solutions, which was acquired by SunGard Data Systems in 2005.  In addition to co-authoring “Inbound Marketing: Get Found Using Google, Social Media and Blogs”, Dharmesh founded and writes for OnStartups.com -- a top-ranking startup blog and community with more than 700,000 members.  In 2013, Dharmesh published HubSpot's Culture Code, which has garnered over five million views. Named an Inc. Founders 40 in 2016, he is an active member of the Boston-area entrepreneurial community, an angel investor in over 60 startups, and a frequent speaker on startups, inbound marketing, and company culture.Host: Avanish SahaiAvanish Sahai is a Tidemark Fellow and has served as a Board Member of Hubspot since April 2018. Previously, Avanish served as the vice president, ISV and Apps partner ecosystem of Google from 2019 until 2021. From 2016 to 2019, he served as the global vice president, ISV and Technology alliances at ServiceNow.  From 2014 to 2015, he was the senior vice president and chief product officer at Demandbase.  Prior to Demandbase, Avanish built and led the Appexchange platform ecosystem team at Salesforce, and was an executive at Oracle and McKinsey & Company, as well as various early-to-mid stage startups in Silicon Valley.About TidemarkTidemark is a venture capital firm, foundation, and community built to serve category-leading technology companies as they scale.  Tidemark was founded in 2021 by David Yuan, who has been investing, advising, and building technology companies for over 20 years.  Learn more at www.tidemarkcap.com.LinksFollow our guest, Dharmesh ShahFollow our host, Avanish SahaiLearn more about TidemarkYou can find the full transcript here. 

It used to be cool to build a B2B software company to a hundred million in revenue, but you know what is cool now? Scaling a B2B tech company to a billion dollars in annual recurring revenue, and potentially a market value of 50 billion, or even a hundred billion! Welcome to the Billion-Dollar B2B Podcast, a show where your host, Dharmesh Thakker, breaks down the secrets to a cloud-first, business-to-business tech company in today's fast-paced market.On this episode, Dharmesh is joined by Sahir Azam, Chief Product Officer at MongoDB, to talk about the fast paced evolution of the B2B environment and dynamics, the best practices around pricing, demand generation and sales, and the two factors that will ultimately determine if a business is truly scalable. If you want to learn more about building scalable businesses, B2B technology and how to better navigate a $75 billion market, this episode is definitely for you!Jump straight into:00:35 - The 500 million business: On the astounding evolution of the B2B ecosystem - “We're in one of those once in a generation sort of platform shifts, software is eating the world.”02:20 - On Sahir's career trajectory and the evolution of MongoDB's market strategy - “Even from the early days, we constructed both a product roadmap and a go-to-market strategy that allowed us to think about the entirety of the $75 billion market that we're going after.”09:22 - The rise of Atlas: Why a transformation mindset is key to building a scalable business - “It's not just a new product or a new skew that we're launching, this is really a company business model transformation.” 15:02 - Open source vs cloud product and Sahir's philosophy around pricing - “There's a dichotomy from who monetizes and buys the technology versus who's actually the one benefiting from the true result of the foundational open source technology. With SAS, those things become aligned.”22:52 - On MongoDB's best practices around demand generation - “We're in a massive market, so to be able to reach the entirety of that market we need multiple ways of monetizing and interacting with customers.”30:06 - The secrets behind an effective and engaged sales team, and the importance of building strategic relationships with competitors - “​​You've got to make sure your people are spending their time on the right portions of the journey.”36:09 - On MongoDB's future inside a $75 billion market - “The reality is we're a very small percentage player in the overall environment. We have to focus on what is happening really, how do we get to scale?”ResourcesIntroducing “Billion-Dollar B2B”: The New Revenue and Valuation Paradigm for Today's Rapidly Growing, Consumer-Like B2B StandoutsThe views expressed here are solely those of podcast guests, not Battery.The information provided in this podcast is solely intended for the use of entrepreneurs, corporate CEOs and founders regarding Battery Ventures' potential financing capabilities for prospective...

It is the first episode of The Information Lounge, and what better topic to get the discussion started by talking about exactly that, Information!Roh (@rothugsnharmony), product strategist, engineer, and content / technical writer, the host of the show,  brings Dharmesh Dadbhawala, the co-founder, COO, and Head of Product at Boardwalktech, Inc.,  to have a conversation about the difference between structured data and unstructured data.Roh talks about how not having insight into the 80%+ of unstructured data that is flowing through a given enterprise at any time, can leave an enterprise with a massive blindspot!  With 70% of companies unsure of the next step in digital transformation, is harnessing unstructured data that pivotal next step? After defining the issue, the two jump into various use cases, and extrapolate on how one can harness unstructured information and make it actionable! More on this subject to come!Put your feet up, lounge, and relax.Cheers,The Information Lounge

Episode 59: Dharmesh Singh CEO of Fullcast Exclusive Interview with Tony Shap

Dharmesh Singh CEO: 1-on-1 Podcast Interview https://www.fullcast.io/