Podcasts about domain names

Endless ideas, abandoned projects, and a pile of unused domain names—sound familiar? In this episode, Matt and Mike explore how developers can avoid false starts and take meaningful first steps when launching new projects. They dig into why buying a domain name might feel productive (but often isn't), when it's actually the right move, and how jumping into real problem-solving helps build momentum and deeper focus. Show Notes: https://www.htmlallthethings.com/podcasts/the-first-step-trap-why-buying-domain-names-isnt-starting-your-project Use our affiliate link (https://scrimba.com/?via=htmlallthethings) for a 20% discount!! Full details in show notes.

Harrison Seletsky is the Director of Business Development at SPACE ID - the leading digital identity platform, powering trustless identity solutions for users, AI agents, dApps, and beyond. #cryptopayment #blockchain #spaceid================All Episodes can be found at www.thecryptopodcast.org All about Roy / Brain Gym & Virtual Assistants athttps://roycoughlan.com/------------------   About my Guest Harrison Seletsky :Harrison Seletsky, Director of Business Development Building in the blockchain space since 2017, Harrison Seletsky is the Director of Business Development at SPACE ID - the leading digital identity platform, powering trustless identity solutions for users, AI agents, dApps, and beyond. Harrison leads the ecosystem growth, partner expansion, and partnership success at SPACE ID, and is charged with many of the forward-facing and strategic aspects of the SPACE ID identity platform, driving its innovation in the decentralized identity space. Prior to SPACE ID, Harrison worked at NFTrade as the Head of Growth and Strategy, at a blockchain-focused hedge fund, as a contributor to various crypto news outlets, and has worked privately with blockchain networks and applications collectively worth billions on their business development, strategy, and user-facing interactions.What we Discussed: 00:20 Who is Harrison Seletsky01:10 His Blockchain Journey02:50 Is he able to travel from Israel03:30 What Wallet he Recomends04:15 Who he thinks Cretaed Bitcoin05:30 Ai Agents in Space id07:25 What are the Dapps in Space id09:15 How to ensure you do not loose your crypto when transferring11:50 Buying a Domain Name and prices15:05 There Payment id System17:55 How do they protect themselves and the Customers19:25 They are saving a lot of time to Exchanges20:30 There is No KYC21:30 How they Generate there Income23:00 Future Plans for the Company24:30 NFT's 26:25 Building Trust in the NFT World29:10 How to Send funds in every Country32:35 Worried about job losses from Ai & Robotics34:30 Lots of Professional are Using Ai How to Contact Harrison Seletskyhttps://www.space.id/https://x.com/SPACEIDHarrisonhttps://www.linkedin.com/in/harrison-seletsky/------------------All about Roy / Brain Gym & Virtual Assistants at ⁠https://roycoughlan.com/⁠ ___________________

Send us a textDigital identity represents the gravitational force aligning Web3's fragmented ecosystem, yet many projects struggle to communicate its importance in ways that resonate beyond technical audiences. Alice Shikova, Marketing Lead at SpaceID, brings clarity to this challenge through her practical approach to Web3 marketing and digital identity solutions.• Creating successful Web3 marketing requires translating complex technical concepts into emotional stories that resonate with users• Digital identity provides necessary context while preserving privacy, helping users understand who they're interacting with in Web3 spaces• SpaceID supports domains across 24+ blockchains, addressing the critical interoperability challenges in the ecosystem• Payment ID allows seamless transactions between Web3 wallets and centralized exchanges using simple, Gmail-linked usernames• Web3 marketing should focus on treating users as co-builders rather than customers, creating alignment between teams and communities• Zero Knowledge technology explained simply: "allows you to keep privacy and verify what you want without revealing information"• Marketers transitioning to Web3 should learn to think like users, write like founders, and understand development fundamentals• Measuring marketing success requires looking beyond vanity metrics to user retention, domain registrations, and community engagementThis episode was recorded through a Descript call on April 15, 2025. Read the blog article and show notes here: https://webdrie.net/from-domain-names-to-digital-identity-navigating-web3s-evolution-with-alice-shikova/Discover RYO: the Web3 payment solution making crypto simple and secure for everyone. Featuring an expansive ecosystem with LIFE Wallet, Global Mall, and Japan's first licensed Crypto ATM Network, RYO empowers your financial journey. Awarded 'Best Crypto Solution.'

Most podcasters know they need a website—but what you might not realize is how the wrong kind of site can quietly bury your show in search and cost you the listeners, leads, and visibility you're working so hard to earn.In this episode, I'm breaking down everything you need to know about podcasting websites—from what to include (and what to avoid), to where it should live, to the one mistake that could be sending all your search traffic (and Google authority) to someone else's site instead of yours.So if you've ever Googled “Does my podcast need its own website?” or “Should I buy a domain for my podcast?”—and you're podcasting to grow your brand and want your show to get found online—hit play and let's dive in.0:07 – Do You Really Need a Website for Podcasting?2:15 – Can You Use the Free Website From Your Podcast Host?3:50 – What's the Best Way to Set Up a Website for Podcasting?5:43 – Do You Need a Domain Name for Your Podcast?8:12 – What Should You Include on Your Podcast Website?12:45 – Should Your Podcast Live on a Separate Site or Your Main Brand Site?14:08 – When Third-Party Podcasting Sites Like PodPage Make Sense (and When to Avoid Them)Episode Links:See our podcast blog in action: PodLaunchHQ.comIf you meet the criteria I shared in the episode for using PodPage, click here to choose a plan (and tell Brandon and Dave that Courtney @ PodLaunch sent you!)Other Episodes You'll Enjoy:4 Podcast Growth Strategies You Haven't Tried Yet (But Should)→ This episode was recorded on the Deity VO-7USupport the showLiked this episode? Share it with a fellow podcaster! Love this show? Say thanks by leaving a positive review.Register for Courtney's Free Podcasting Workshop: How to 10x Your Business with a Podcast in 2025Schedule a 1:1 Podcasting Audit with Courtney. Curious about PodLaunch®? Book a Demo to see if our podcasting mentorship is the right fit for your business. Connect with Courtney: Linked In | Instagram | PodLaunch HQ ©Ⓟ 2018–2025 by Courtney Elmer. All Rights Reserved.

127 founders (net worth: ~$1M–$100M+) opened up their personal books. Want to see how your finances stack up? https://www.joinhampton.com/wealth-reportShane Cultra walked away from his family's five-generation nursery business—triggered, in part, by watching Succession. Along the way, he built up a $10M net worth, stacked Bitcoin, turned a blog into a domain empire, and made peace with a father who didn't speak to him for a year after he left.Here's what we talk about:How Shane went from pit trader to plant farmerThe domain side hustle that cashflows $300K+ a yearBreaking down his $10M net worth: Bitcoin, land, stocks, and side gigsWhy his dad thought success would make him lazyThe real cost of working with family—and why he'd still do it all over againHow Succession mirrored his life and led him to finally walk awayThe awkward equity breakdown: 33%, but no controlSelling a blog for $75K and going all-in on digital real estateWhy he'd rather make $18K for himself than $100K working for someone elseLetting his daughter fail—and why that's the lesson his dad never learnedHis exact monthly spending: $5,600/month, no mortgage, travel-heavy lifestyleFrom Porsches to a two-door Bronco: redefining what rich looks like$4M in stock holdings (including a $10K Apple investment for his daughter that grew to $400K)Why he's not pushing the family business to the next generation—and what legacy really meansCool Links:If you're a founder or CEO with $3M+ in revenue or funding, or you've sold a company for $10M+, check out Hampton: https://www.joinhampton.com/If you want a cool podcast like this one, check out Lower Street https://www.lowerstreet.co/Check out Shane's blog! https://www.botany.comChapters:A Family Legacy in Crisis (00:00)Shane's Financial Journey (00:31)The Nursery Business Dynamics (04:51)Shane's Early Career and Return to Family Business (09:12)Navigating Family and Business Conflicts (11:49)The Importance of Land Value (16:25)Venturing into Domain Names (17:27)The Unexpected Offer: Selling My Blog (21:07)Family Tensions: Side Income and NFTs (21:43)Measuring Wealth: Personal Stories (23:01)Leaving the Family Business: A Tough Decision (24:59)Reconciliation and Moving Forward (30:42)Advice for Founders with Kids (33:41)Financial Overview and Spending Habits (35:37)Final Thoughts on Family Legacy (39:10)This podcast is a ridiculous concept: high-net-worth people reveal their personal finances.Inspired by real conversations happening in the Hampton community.Your Host: Harry MortonFounder of Lower Street, a podcast production company helping brands launch and grow top-tier podcasts.Co-parents a cow named Eliza.

Ed, Harvey and Simon discuss significant developments in the real estate and prop tech industries, including the ongoing Clear Cooperation Policy battle in the U.S., Zillow's market power and ethical considerations, CoStar's strategy with Homes.com, Immobiliare's expansion in Croatia, and DomClick's controversial data-sharing practices in Russia.

Wyatt sits down with Fred Hsu and Michael Ho of D3 to talk domain markets. In this episode:  The existing domain name industry and legacy systems An interoperable marketplace for domains New financial promitives around domains and RWAs More about D3

Join me as I chat with Nick Huber to discusses how "boring" businesses like storage, lawn care, and service companies often create more reliable paths to wealth than tech startups. He shares his personal journey from a college storage business that sold for $1.75 million to purchasing and improving self-storage facilities worth millions. The conversation explores various low-tech business opportunities with high profit potential and minimal competition.00:00 - Intro02:08 - Nick's Sweaty Startup journey05:20 - Self-storage facility investments and returns07:31 - Examples of profitable service businesses13:13 - Sweaty Startup Idea: Night Nurse Marketplace18:49 - Value of a Good Domain Names22:25 - The AI + Sweaty Startups OpportunityKey Points• Nick Huber shares his journey building "boring" but profitable businesses, including Storage Squad and self-storage facilities• Sweaty startups (service-based local businesses) often have less competition and higher success rates than tech startups• Simple marketing tactics like sidewalk chalk, bandit signs, and local networking can be highly effective for service businesses• Domain names are valuable digital real estate worth investing in for business credibility and growth1) The WEALTHY people in your town aren't tech foundersThey own boring businesses:• Underground utilities• Surveying companies• HVAC businesses• Real estate developmentWhile everyone's dreaming of being the next Elon, these folks are quietly building wealth.2) Nick's first million came from... college student storage! He built Storage Squad with:• $1500 Craigslist cargo van• $2200 box truck• SIDEWALK CHALK as his only marketingGrew to $2.2M in revenue, sold for $1.75M in 2020.No tech, no VC money, just hustle.3) Self-storage facilities = GOLD MINES Nick bought a neglected facility for $625K with:• 40,000+ square feet• 180+ units• Only making $4K/monthAnother facility they bought for $1.5M now generates $40K/month and is worth $4.5M!4) "Sweaty startups" are EVERYWHERE making serious money:• Lawn care: $100K+ working 9 months/year• Mobile detailing: $17K revenue/$10K profit PER MONTH• High-end transportation: Consistent 6-figure income• Tree removal: $3K for 4 hours of work (2 people)All with minimal startup costs!5) The DOMAIN NAME lesson that most miss:Nick paid $450K for [Somewhere.com](http://somewhere.com/) and says it's already delivered MORE value than that."People will spend millions on physical real estate but balk at a few thousand for digital real estate - the home of your business."6) The COMPETITION ADVANTAGE of sweaty startups:Would you rather compete against:• Stanford CS grad with $20M in VC fundingOR• Local business owner who doesn't answer phones on Monday afternoons?Choose your competition wisely!7) BEST BUSINESS IDEA from the pod: Night Nurse Marketplace• Domain available for $13K (or $1,100/month lease-to-own)• Target new parents needing overnight baby care• Build directory + blog with AI• Charge $1K finder's fee to match families with nurses$20K+ monthly potential!8) The AI + SWEATY STARTUP opportunity:The best AI companies might start as sweaty startups first.Build the customer base and trust with a service business, THEN layer in tech and AI solutions.This is how you build something valuable without competing with 1000 other AI startups.Notable Quotes:"The wealthy people that I know, the ones with giant beach houses in the outer banks and private jets at the local airport, almost all of them did something boring." - Nick Huber"Do you want to compete against LeBron James or a fifth grade girl in basketball? I play against the fifth grade girl every time because my odds of having a win and making money are higher." - Nick HuberLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND NICK ON SOCIALX/Twitter: https://x.com/sweatystartupNick's New book: https://www.sweatystartupbook.comSweaty Startup Ideas: http://Sweatystartup.com/ideasBolt Storage: http://boltstorage.comSomewhere: http://somewhere.com

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

Chapters 00:00 Introduction and Show Branding03:03 Bruce's Journey into Domaining05:54 Outbound Marketing Strategies09:02 Niche Focus in Domaining11:52 Understanding Client Needs14:55 Outbounding Process and Tools17:56 Email and SMS Outreach Techniques21:08 Managing Domain Portfolio24:01 Negotiation Tactics in Sales27:05 Consistency and Discipline in Domaining29:58 Final Thoughts and Industry Insights41:22 The Dream of Trading Domains42:00 AI Tools Revolutionizing Domain Marketing45:32 Building Value with AI and Domain Names50:03 The Power of Outbound Marketing56:05 SEO and AI: A New Era for Domains01:00:14 ICANN Changes and Market Liquidity01:08:01 GoDaddy's Self Brokerage Launch01:15:10 Building User-Centric Features01:20:30 Domain Review and Feedback01:34:45 Insights on Domain Investment Strategies  Check out $5 .com Fridays, $1 .xyz Wednesdays, and $5.52 .com transfers for up to $11000 in discounts. Only at https://unstoppabledomains.com

Martti Malmi, aka Sirius, was Satoshi Nakamoto's closest collaborator between 2009 and 2010. In this episode, he reminisces about the early days of Bitcoin, but also describes his recent adventures with Nostr & the Lightning Network. Time stamps: Introducing Martti (00:00:48) Martti's Work on Nostr (00:02:03) Nostr's Origins and Purpose (00:03:31) Self-Custodial Nature of Nostr (00:04:13) Early Bitcoin Perceptions (00:05:25) Understanding Bitcoin's Value (00:07:21) How Martti Malmi Discovered Bitcoin (00:08:21) Contributions to Bitcoin (00:09:41) Development of Bitcoin Exchange (00:12:53) Pioneering Real Estate Transactions (00:14:45) Reflections on Selling Bitcoin (00:15:27) Celebrating Pizza Day (00:16:18) Market Demand for Bitcoin (00:17:14) Regrets About Bitcoin Spending (00:17:27) Privacy in Bitcoin (00:20:23) Lightning Network Integration (00:22:47) Concerns About Censorship (00:23:41) The Evolution of the Lightning Network (00:24:42) Challenges with Lightning Nodes (00:25:04) The Reliability of Payment Solutions (00:26:11) Early Bitcoin Purchases (00:27:22) Preferred Methods for Holding Bitcoin (00:28:16) Mt. Gox Lessons (00:28:41) Creditor Experiences with Mt. Gox (00:29:17) Future Value of Bitcoin (00:29:56) Technological Changes in Bitcoin (00:30:20) Concerns Over CBDCs (00:31:16) Project Hamilton CBDC and Bitcoin Technology (00:32:31) Tether's Role in the Financial System (00:33:01) Community Trust in Financial Systems (00:34:41) Concerns About Centralization (00:37:28) Sidechains and Their Implications (00:37:46) The Role of Law Enforcement (00:39:22) Historical Contributions to Bitcoin (00:42:03) Satoshi's Identity Speculation (00:43:02) Early Bitcoin Community Engagement (00:45:22) Transition from Developer to Observer (00:46:21) Ownership of Bitcoin.org Domain (00:47:31) Domain Names and Value (00:47:56) Namecoin and Early Altcoins (00:48:29) Web of Trust in Naming (00:49:05) Self-Custody Solutions (00:49:36) Rise of Hardware Wallets (00:51:03) Mining Pools and Centralization Risks (00:52:18) Gamers and Bitcoin Mining (00:52:57) Libertarianism and Bitcoin Miners (00:53:49) Cultural Perspectives on Welfare States (00:54:31) Corruption in Scandinavian Countries (00:56:15) Libertarian Media in Finland (00:57:04) The Pirate Party and Bitcoin (00:57:21) Optimism about Bitcoin's Future (00:58:21) Potential Changes to Bitcoin (00:59:26) Nostalgia for Early Bitcoin Days (01:01:13) Bridging Nostr and Bitcointalk (01:01:40) Emails with Satoshi Nakamoto (01:02:54) Keeping Up with Marty's Work (01:04:24)

Chapters 00:00 Introduction to Unstoppable's Domainer Q&A03:03 DomainGaffer's Journey into Domaining05:32 Building with Bolt.new: A Creative Approach08:29 The Value of Building Domains vs. Flipping11:22 Emerging Tools and Technologies in Domain Development14:15 The Golden Age of Domain Investing17:21 Lessons Learned in Domain Investing19:49 Understanding Renewal Fees and TLDs22:52 Using Expired Domains for Investment Opportunities33:32 Analyzing Domain Names: The Data Perspective40:13 The Shift Towards Alternative TLDs44:28 Finding Value in Domain Names48:26 Acquisition Strategies for Domains53:55 Leveraging AI in Domain Investing58:12 First Sales and Lessons Learned01:04:21 Closing Thoughts on Domain Investing 

Thinking that you might want or need your own web site? Brian Flanagan-Arthurs discusses the importance of owning a personal website. He shares his motivations, the risks of relying on social media, and his process of choosing a domain, software, and hosting. Brian details his experience with WordPress, the learning curve, and the benefits of controlling his online presence. Chuck and Brian emphasize adaptability, ongoing refinements, and the value of having a central hub for content and communication.  Today's edition of MacVoices is supported by MacVoices Live!, our weekly live panel discussion of what is going in the Apple space as well as the larger tech world, and how it is impacting you. Join us live at YouTube.com/MacVoicesTV at 8 PM Eastern 5 PM Pacific, or whatever time that is wherever you are and participate in the chat, or catch the edited and segmented versions of the show on the regular MacVoices channels and feeds. Show Notes: Chapters: 000:09 Introduction to Brian Flanagan-Arthurs 01:34 The Importance of Your Own Website 08:35 Choosing a Domain Name 11:26 Selecting Software for Your Website 15:12 Building Your Website 18:47 Support and Resources 22:31 Advice for Future Website Builders 29:00 Conclusion and Future Plans Links: Godaddy http://godaddy.com WordPress https://wordpress.org/ WordPress.com http://wordpress.com Squarespace http://squarespace.com Wix http://wix.com ESC! Technologies Group (Mike Potter's company) 
https://esctechnologiesgroup.com Guests: Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Takeaways Domain investing requires a solid educational foundation.Understanding the end user is crucial for successful sales.Outbounding can significantly increase the odds of making a sale.AI tools are transforming the domain investing landscape.New domainers should avoid falling in love with their names.Every domain name incurs a renewal cost, making selection critical.The market for domains is evolving with new opportunities.Building out domains can create additional revenue streams.Networking and community engagement are vital for growth.Identifying trends and potential buyers is key to success.Chapters 00:00 The Importance of Education in Domaining01:12 Unstoppable Domains and Current Promotions03:48 Insights from the Domain Industry06:37 The Digital Real Estate Academy09:18 The Future of Domain Investing11:45 Challenges in the Domain Market14:29 Innovations in Domain Tools17:23 The Role of AI in Domaining19:51 Common Mistakes for New Domainers22:31 Building vs. Flipping Domains25:23 The Future of Outbounding in Domaining30:04 Emerging Trends in Outbounding AI34:29 The Art of Domain Selection and Outbounding38:34 Strategies for Domain Investment41:04 Mindset and Emotional Detachment in Domain Investing46:28 Understanding Buyer Psychology and Sales Techniques52:49 Outbounding Challenges and Strategies01:01:23 Leveraging LTOs for Domain Sales 

Join Bill Hartzer & Brian Harnish as they discuss SEO trends, AI in content creation, entity analysis, and the evolution of link building. Learn strategies for optimizing content, leveraging AI, and protecting your brand in the ever-changing digital landscape.In our discussion, we cover a wide-ranging discussion on the evolution of search engine optimization (SEO) over the years, from the early days of keyword density and link building to the modern focus on topical relevance and quality content.The key points include:The shift from optimizing for individual keywords to creating content that comprehensively covers a topic and matches what competitors are discussing.The importance of conducting entity and competitor analysis to understand what content and topics need to be covered on a page.The diminishing role of traditional link building in favor of earning high-quality links through great content and relationships.Strategies for addressing new or emerging topics with limited prior search data, such as using AI assistants to generate content outlines.The risks of using expired domains or scraping content, and the value of protecting one's brand by blocking domain name variations.

I'm back with another Q&A episode! I start by sharing viral marketing stunts for an escape room and emphasize finding a "Kirk" for business partnerships. Then, I explain how to grow a local newsletter using Facebook groups and ads, and monetize through AI and high-ticket services. I discuss why premium domain names aren't valuable for crypto and suggest focusing on trending niches, like AI. Finally, I advise on cloning content creators with AI chatbots, and selling this service to creators and community owners, as well as stressing the need to outsource weaknesses and double down on strengths.Timestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 Introduction00:11 – Early Bird vs Night Owl Debate02:53 – Creative Marketing Strategies for Escape Rooms03:12 – Finding the Right Operational Partner08:45 – Building a Local Newsletter and Monetization Strategies13:09 – Exploring Crypto Domain Names and Their Value18:04 – Creating AI Chatbots for Content Creators21:53 – Conclusion

On today's show, we look at your domain name and how it can define and brand your website to make you more visible. Go to http://jgtips.com/lets to get “7 ways to be visible” and other checklists and tips.

HoldCo Bros are back! Nik and I discussing how AI agents can automate tasks, focusing on their potential to revolutionize both business and personal productivity.We brainstormed various ideas for using AI agents, such as making restaurant reservations and gathering quotes for wedding planning. We also considered having AI agents call businesses for market research, gather data from different industries, and build newsletters based on that dataTimestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 Introduction and Opening Banter00:51 AI Agents and Restaurant Reservations01:32 The Evolution of AI Technology03:03 Washing Dishes and Creative Thinking04:44 Business Ideas and Market Research06:36 Wedding Planning with AI11:17 The Future of AI in Everyday Tasks14:39 Practical Uses of AI and Personal Experiences19:38 Domain Names and Business Potential20:36 Exploring Business Ideas: From Weddings to Parking Tickets21:08 The Power of a Good Domain Name21:36 AI's Transformative Potential21:52 Teaching AI to the Next Generation23:50 Entrepreneurial Opportunities with AI24:29 Building a Business Around AI Education31:17 Proprietary Information and AI Agents33:41 The Value of Aggregated Data39:15 Challenges and Costs of AI Agents41:12 Final Thoughts and Future Applications

#branding, #domainnames, #irresistibleoffer, #realityalteringexperience, #Starbucks, #brandvalue, #emotionalconnectivity, #audiencetesting, #domainvalue, #brandauthority, #NeilTwa, #GrantPolachek Chapters: [00:00 - 07:45] Building Memorable Brands and the Role of Domain Names[07:45 - 14:20] Emotional Connectivity in Branding[14:20 - 21:30] Finding the Perfect Domain Name[21:30 - 24:33] The Power of Audience Testing in Brand Success 

This episode of the Daily Mastermind is a conversation with Brian Fried, an inventor, entrepreneur, public speaker, and the founder of Inventor Smart. With 15 patents and multiple licensed products to his name, Fried shares his journey from recognizing his inventing potential by observing everyday annoyances to becoming a successful inventor. The conversation delves into the process of taking ideas and transforming them into tangible, marketable inventions, highlighting the importance of research, prototyping, patenting, and understanding the market opportunity. Fried emphasizes the significance of trust, making informed business decisions, leveraging intellectual property, and the challenge of navigating emotional attachment to ideas. He offers actionable advice for inventors at any stage of their journey, stressing the potential for anyone, regardless of their background, to bring their ideas to life. 01:30 Unveiling the Inventor's Journey: Brian Fried's Story04:31 From Balloon Band to Paper Towel Innovations: Brian's Inventions07:39 Turning Ideas into Reality: Advice for Aspiring Inventors09:58 The Business of Inventions: Building and Protecting Your Ideas14:13 Understanding Intellectual Property: Patents, Trademarks, and More18:47 Decoding Trademarks and Intellectual Property20:13 The Power of Domain Names and Trademarks23:32 Navigating Challenges in Intellectual Property24:03 The Importance of Trust and Due Diligence27:48 Strategic Advice for Protecting Your Ideas Thanks for listening, and Please Share this Episode with someone. It would really help us to grow our show and share these valuable tips and strategies with others. Have a great day. George Wright III“It's Never Too Late to Start Living the Life You Were Meant to Live”FREE Daily Mastermind Resources:CONNECT with George & Access Tons of ResourcesGet access to Proven Strategies and Time-Test Principles for Success. Plus, download and access tons of FREE resources and online events by joining our Exclusive Community of Entrepreneurs, Business Owners, and High Achievers like YOU.Join FREE at www.JoinTheEvolution.comAbout Brian Fried:Brian Fried, “The Inventor Coach,” ignites innovation. A dynamic innovator, author, and speaker with 15 patents to his name, Brian has transformed ideas into licensed products and successful ventures seen on QVC, in infomercials, and on the shelves of major retailers. For over 18 years, he has guided inventors from concept to commercialization as a dedicated invention licensing agent.Brian engages audiences with insightful talks on innovation, sharing his expertise with budding inventors, corporate teams, and agencies. He is the author of three books packed with actionable advice for navigating the invention landscape. Additionally, through his online platform, InventorClass.com, he offers a comprehensive 3-hour eLearning course that provides DIY guidance for inventors at all stages of their development.As the founder of the National Inventor Club, Brian hosts monthly livestreams featuring guest speakers who explore various aspects of the invention process, offering both inspiration and practical advice. In October 2023, Brian launched the Inventor Smart Community app, a groundbreaking platform designed to enhance networking, collaboration, and social media engagement among inventors. Available on Google Play and the Apple App Store, this app enables inventors to connect, share ideas, and access a wealth of resources, furthering Brian's commitment to empowering global innovation.Guest Resources:LinkedIn Page: https://www.linkedin.com/in/brianfriedFacebook: https://www.facebook.com/brian.fried.39Website: https://brianfried.com/YouTube Channel: https://www.youtube.com/channel/UCHMzAuup-pvZSPOvwirZqYCLICK HERE to submit your request for a FREE PERFECT Interview on Valiantceo.com Magazine.

Did you know one company has the monopoly on the .com top level domain? How did Verisign become the one DNS registry for .com, and why did some politicians recently challenge the company's practices?See omnystudio.com/listener for privacy information.

Think you have really big handwriting? You've got nothing on Jimmie Luecke.Show website: www.truestoriespodcast.comBecome a Patreon Supporter: https://bit.ly/3XLR99vBecome a supporter of this podcast: https://www.spreaker.com/podcast/true-stories-with-seth-andrews--5621867/support.

Ben Leber and Muss help with a Vikings deep dive after their win in Jacksonville, Sauce talks about the King of Domain Names

Ben Leber and Muss help with a Vikings deep dive after their win in Jacksonville, Sauce talks about the King of Domain Names

She sold her house. Now, the domain name. Hour 4 11/6/2024 full 2029 Wed, 06 Nov 2024 23:00:44 +0000 GUoioxdU8gQW4vPbX7oJTFPXm1fj81wO news The Dana & Parks Podcast news She sold her house. Now, the domain name. Hour 4 11/6/2024 You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! 2024 © 2021 Audacy, Inc. News False https://player.amperwavepodcasting

Today's episode tackles a critical issue that could cost your business thousands—your domain name. What happens if it expires? Spoiler alert: It's not good. An expired domain can bring your website crashing down, devastate your SEO rankings, and even force you to pay big money to get it back. But don't worry, we're here to guide you through it!We'll dive into the risks of letting your domain lapse and share practical steps to make sure this never happens to you. This episode is packed with essential advice that could save you a fortune and keep your online presence safe.Grab your headphones, hit play, and let's dive in!Thank you to RepairPal for sponsoring The Auto Repair Marketing Podcast. Learn more about RepairPal at https://repairpal.com/shopsLagniappe (Books, Links, Other Podcasts, etc)Aftermarket Radio Network: https://aftermarketradionetwork.com/ How To Get In TouchGroup - Auto Repair Marketing MastermindWebsite - shopmarketingpros.com Facebook - facebook.com/shopmarketingpros Get the Book - shopmarketingpros.com/bookInstagram - @shopmarketingpros Questions/Ideas - podcast@shopmarketingpros.com

Today's episode tackles a critical issue that could cost your business thousands—your domain name. What happens if it expires? Spoiler alert: It's not good. An expired domain can bring your website crashing down, devastate your SEO rankings, and even force you to pay big money to get it back. But don't worry, we're here to guide you through it!We'll dive into the risks of letting your domain lapse and share practical steps to make sure this never happens to you. This episode is packed with essential advice that could save you a fortune and keep your online presence safe.Grab your headphones, hit play, and let's dive in!Thank you to RepairPal for sponsoring The Auto Repair Marketing Podcast. Learn more about RepairPal at https://repairpal.com/shopsLagniappe (Books, Links, Other Podcasts, etc)Aftermarket Radio Network: https://aftermarketradionetwork.com/ How To Get In TouchGroup - Auto Repair Marketing MastermindWebsite - shopmarketingpros.com Facebook - facebook.com/shopmarketingpros Get the Book - shopmarketingpros.com/bookInstagram - @shopmarketingpros Questions/Ideas - podcast@shopmarketingpros.com

Welcome back to the Hosting Hotline! This is an Ask Me Anything where each week we'll answer your questions on Airbnb, STRs, real estate, and everything in between.Heather asks:I have a studio apartment that's attached to our house. We've had it on Airbnb since May of this year. I'm realizing I probably need an email address, domain name, and bank account for the rental. Should I have a Gmail business email, which costs money, or just create another free Gmail account? Any other advice? (00:03:48) How To Set Up A Bank Account For Your STR Business (00:05:58) Options To Create An Email Account & Domain Name(00:08:11) Why It Pays To Create An Inexpensive Landing Page Thanks to everyone who submitted questions. To hear your voice on the show and send a question to Sarah and Annette, submit your burning hosting questions at: hostinghotline.com.Resources:• Click here for full show notes • Relay: lets.bankwithrelay.com/thanks-for-visiting• Video: The Ultimate Guide to Setting Up Your Airbnb Business the RIGHT way• Airbnb Essentials Checklist: hostchecklist.comThanks for Visiting is produced by Crate Media.Mentioned in this episode:StayFi | Go to www.stayfi.com and enter TFV to get 50% off your first three months.

In this episode, Michelle discusses the importance of choosing the right domain name for your online presence. She emphasizes that a great domain name is a powerful branding tool and key to discoverability. Michelle introduces the rise of the .bio domain extension and highlights its benefits, such as clarity, memorability, and professionalism. She also mentions Porkbun, a domain registrar that offers .bio domains at an affordable price. Michelle concludes by encouraging listeners to consider the power of a .bio domain and choose wisely to build a strong online empire. Use my link https://porkbun.com/SMDecoded24 to get a .bio domain for less than $2 now at Porkbun! Chapters 00:00 Introduction to Domain Names 02:12 The Rise of .bio Domain Extension 03:09 Benefits of a .bio Domain 04:32 Introducing Porkbun: A Domain Registrar 06:51 Choosing the Right Domain Name 07:19 Conclusion  

In this episode, we interview Grant Polachek, Chief Growth Officer at Atom.com, a startup specializing in naming and domain services. What you'll learn in this episode: A step-by-step process for choosing the perfect name and domain for your business or product. Key considerations for rebranding and when it's necessary. The importance of audience testing and validation in naming. Tips on managing a successful rebranding strategy for larger companies.

Rob Schutz is the co-founder of the unicorn Ro, a healthcare company that initially offered ED medications and later expanded into other products and services for sexual health, weight loss, fertility, hair, and skin. Prior to Ro, Rob was instrumental in the exponential growth of BARK/BarkBox, a now prominent subscription service for dog products. Currently, at Snagged.com, he is focused on helping businesses acquire premium domain names and digital assets.In this episode of the DTC POD, Rob shares valuable insights into the growth strategies that have contributed to the success of both BARK/BarkBox and Ro. He discusses the importance of focusing on core, consistent marketing channels such as paid search, paid social, and email, while also allocating a separate budget for testing and exploring new, experimental strategies and channels.Rob offers practical advice for founders and marketers, stressing the need to plan for scale, set and clearly communicate priorities, foster strong relationships between growth and marketing leaders, and structure teams effectively as the company experiences rapid growth. He also shares his expertise in domain brokerage, discussing strategies for acquiring and negotiating domain names to help build strong brand identities.Interact with other DTC experts and access our monthly fireside chats with industry leaders on DTC Pod Slack.On this episode of DTC Pod, we cover:1. DTC Marketing Strategies2. Optimizing Marketing Budget3. Testing Marketing Channels4. Digital Marketing Challenges5. Building and Structuring Teams6. Importance of Domain NamesTimestamps00:00 Rob Schutz's DTC experience: BARK/BarkBox, Ro, Snagged.com07:37 Process of acquiring domain names11:10 Why Rob Schutz founded Snagged.com14:28 From User Acquisition Manager to VP of Growth at BARK/BarkBox16:27 Lessons from BARK/BarkBox's growth journey20:56 Strategies for choosing and testing growth channels26:09 Transitioning from BARK/BarkBox to Ro29:00 Challenge with digital performance platforms in the early days of Ro31:33 Rolling out Ro's ED medication state-by-state, launching other products35:47 Planning for scale around high quality of care35:51 Iterations around how to structure the team as Ro scaled41:47 Rob Schutz's advice to founders46:35 Sports sponsorship as a performance channel48:10 Snagged.com's domain servicesShow notes powered by CastmagicPast guests & brands on DTC Pod include Gilt, PopSugar, Glossier, MadeIN, Prose, Bala, P.volve, Ritual, Bite, Oura, Levels, General Mills, Mid Day Squares, Prose, Arrae, Olipop, Ghia, Rosaluna, Form, Uncle Studios & many more.  Additional episodes you might like:• #175 Ariel Vaisbort - How OLIPOP Runs Influencer, Community, & Affiliate Growth• #184 Jake Karls, Midday Squares - Turning Your Brand Into The Influencer With Content• #205 Kasey Stewart: Suckerz- - Powering Your Launch With 300 Million Organic Views• #219 JT Barnett: The TikTok Masterclass For Brands• #223 Lauren Kleinman: The PR & Affiliate Marketing Playbook• ​​​​#243 Kian Golzari - Source & Develop Products Like The World's Best Brands-----Have any questions about the show or topics you'd like us to explore further?Shoot us a DM; we'd love to hear from you.Want the weekly TL;DR of tips delivered to your mailbox?Check out our newsletter here.Projects the DTC Pod team is working on:DTCetc - all our favorite brands on the internetOlivea - the extra virgin olive oil & hydroxytyrosol supplementCastmagic - AI Workspace for ContentFollow us for content, clips, giveaways, & updates!DTCPod InstagramDTCPod TwitterDTCPod TikTok  Rob Schutz - Co-Founder of Ro and Founder of Snagged.comBlaine Bolus - Co-Founder of CastmagicRamon Berrios - Co-Founder of Castmagic

Rich walks you through the do's and don'ts of choosing a good URL for your company!

Welcome and Introduction - Minter Dial welcomes Jay Baer back to the show after five years. - Introduction of Jay Baer as a business growth and customer experience researcher, author, expert, and advisor. Jay Baer's Background and Expertise - Jay Baer shares his extensive experience in digital marketing and customer experience. - Discussion of his new book, "Time to Win," and its powerful insights. The Importance of Domain Names in Branding - Jay Baer explains the process of choosing book titles and securing domain names. - Emphasis on the significance of having a memorable and relevant domain name for branding. Empathy and Customer Experience - Jay Baer and Minter Dial discuss the decline of empathy in business interactions. - Jay highlights the importance of treating customers with dignity, respect, and kindness. - The concept of an "empathy deficit" in modern business and its implications. Efficiency vs. Empathy in Business - Exploration of the tension between efficiency and empathy in customer service. - Jay Baer argues that true empathy is circumstantial and requires understanding individual customer needs. - The challenge of balancing efficiency with genuine customer care. The Role of Speed in Customer Satisfaction - Jay Baer discusses the critical role of speed in customer experience. - The concept of "responding without answers" to manage customer expectations. - The importance of setting realistic expectations for response times. Internal Communication and Organisational Efficiency - The necessity of fast internal communication to achieve external responsiveness. - Jay Baer emphasises the need for internal cohesion and alignment to meet customer expectations. The Future of AI in Customer Service - Jay Baer predicts the increasing role of AI in customer service and its impact on job roles. - Discussion on the balance between AI efficiency and maintaining a human touch in interactions. Setting Expectations and Managing Customer Perceptions - The importance of setting clear expectations for response times and service delivery. - Jay Baer shares examples of how businesses can manage customer perceptions through effective communication. Conclusion and Contact Information - Minter Dial praises Jay Baer's pragmatic solutions and engaging insights. - Information on how to contact Jay Baer, hire him for speaking engagements, and access his books. - Mention of Jay Baer's website (jaybaer.com) and the book's website (thetimetowin.com) for further resources and research. Final Thoughts - Minter Dial reflects on the importance of balancing speed, empathy, and efficiency in business. - Encouragement for listeners to apply Jay Baer's principles to improve their customer experience strategies.

6pm: GUEST -  Jason Ronquillo - Yelm High School Football Coach. // Yelm High School’s football coach is spearheading the effort to raise funds to save the school’s C-team  programs.   Freshmen and Sophomore football teams.   Their fundraiser ends NEXT Wednesday! // Coach Ronquilo has been a game changer for the Yelm Tornados Program // UK government 'scouring social media' to arrest people for sharing 'harmful' riot footage regardless of intent // He Bought the Harris-Walz Domain Name in 2020… And just sold it for $15k // The Most Expensive Domain Names Ever Sold // Meet The Domain King - Rick Schwartz 

Wednesday's third hour

In this episode of the Tech Talks Daily Podcast, we explore the fascinating world of domain names with Hayath Hussein, a seasoned expert currently with Com Laude. Hayath brings over 20 years of experience in the domain name industry, including a significant tenure as an in-house domain expert at a FTSE 100 company. Her insights cover the expansive growth and critical importance of domains in today's digital environment. Hayath's career journey is a testament to the dynamic nature of the domain industry. She has witnessed a remarkable evolution from an era with only a handful of domain extensions to today's vast landscape of over 2,000 options. This growth has significantly increased the complexity and importance of managing digital assets. The importance of security and intellectual property protection has grown alongside the expansion of domain options. Hayath emphasizes the need for robust security measures to defend against threats such as DDoS attacks. She explains that brand owners today are much more educated and proactive about securing their digital presence. A strong advocate for diversity in the workplace, Hayath believes in hiring based on potential. She shares inspiring stories of individuals from varied backgrounds thriving in the domain industry. This approach not only brings fresh perspectives but also enriches the talent pool, fostering innovation and growth. Continuous learning and mentoring are cornerstones of Hayath's professional philosophy. She highlights the importance of providing ample training opportunities for employees at all levels. Whether through formal education, industry workshops, or self-directed learning, staying updated is vital in this fast-changing industry. The intrinsic value of domain names extends beyond their role as digital addresses. Hayath discusses how premium domains can drive traffic, enhance brand awareness, and significantly contribute to business objectives. Securing relevant domains is crucial for protecting intellectual property and maintaining a competitive edge. In tackling the persistent threat of DDoS attacks, Hayath advocates for a multidisciplinary approach to domain management. She offers practical advice on using technologies like anycast DNS and conducting regular audits to safeguard valuable digital assets. Hayath's commitment to lifelong learning shines through as she shares her strategies for staying informed. From reading extensively to engaging with younger colleagues and clients, she continuously seeks to expand her knowledge and adapt to new challenges. Join us for this insightful conversation that delves into the technical aspects of domain management while also highlighting the human element of building a successful career in this dynamic field. How has your experience with domain names evolved over the years? Share your thoughts and join the discussion!

(Aired July 18, 2024) DomainSherpa – Down The Rabbit Hole – July 18, 2024: Passport to Earn As we say on DomainSherpa - all roads lead to domains. And our work with domains has us venturing "down the rabbit hole" into different topics all the time. So this is a tech-adjacent, digital asset, pop-culture, tangent-positive monthly podcast - with some domains stuff thrown into the mix for good measure. In this episode, JT is joined by Drew and special guest Hugo McDonaugh, co-founder and CEO of GBM Auctions, a bid-to-earn platform where the bidders are incentivized to bid on an asset. When a new bid is placed, the GBM formula calculates how much money that bidder will earn if they are outbid. Every bidder that gets outbid earns an incentive, and the highest bidder at the end of the auction wins, with the seller receiving what is left in the pot. Together, the Sherpas get into how GBM Auctions work and some exciting and groundbreaking things happening with GBM. The Sherpas also discuss how GBM Auctions are now being applied to domain names at GBM.domains, including a few premium domain names being put up for auction by Drew starting this week and running through July 25th. BrickWeed(com) ChainChoice(com) GetBlazed(com) HigherCaliber(com) NiceRides(com) Synopsis(co) Trippy(co) The Sherpas also cover the crypto onboarding for the GBM Auction platform in this special episode, so tune in and jump down the rabbit hole!

(Aired July 11, 2024) DomainSherpa - Sherpa Shorts - July 11, 2024: The Trend Is Your Friend As we say on DomainSherpa - all roads lead to domains! And today we have a Sherpa Shorts segment,co-hosted by JT & Chris Zuiker of MediaOptions - where they pick a few domain name related topics to dig into. In this episode, the Sherpas delve into recent articles in the domain industry and whether there have been any transformative applications of AI so far. They also discuss how to accurately value domain names, considering certain current macro and microeconomic factors. And don't forget to check out Chris's book at DomainBrokerSecrets.com. All this and more on today's episode of Sherpa Shorts!

(Aired June 27, 2024) DomainSherpa – Down The Rabbit Hole – June 27, 2024: Escrow Row Row Your Boat As we say on DomainSherpa - all roads lead to domains. And our work with domains has us venturing "down the rabbit hole" into different topics all the time. So this is a tech-adjacent, digital asset, pop-culture, tangent-positive monthly podcast - with some domains stuff thrown into the mix for good measure. In this episode, JT is joined by Drew and special guests Shaun McMeekan and Sofia Canala of Escrow.com. Together, they delve into their experiences at NamesCon and provide insights into the current state of the domain industry. The discussion also highlights some recent developments at Escrow and what they expect as they look ahead to the second half of the year. So tune in and jump down the rabbit hole!

Peter Coppinger, the brilliant mind behind Teamwork, joins us for a fascinating chat recorded live at the Republic of Work in Cork in partnership with the EIIS Innovation Fund. Peter's entrepreneurial journey from a passionate college student to a successful business mogul is nothing short of inspiring. From his early days of web development and local business pitches to the spontaneous decision to acquire the domain teamwork.com for a whopping $500,000, Peter's story is filled with bold moves and valuable lessons. Peter & Dan bootstrapped Teamwork for over 14 years before raising $70 million in 2021. We delve deep into the reasons behind this and their drastic change of strategy.  We cover everything from their transition from client services to product development, their first sale, and to why SAAS is the best business model in the world!  This episode is a must-listen for anyone eager to understand the intricacies of building a positive company culture and making fearless business decisions.   --- My Season Partners Local Enterprise Offices: https://bit.ly/4bgUdPv Iconic Offices: https://bit.ly/3vPQAzF

To grab a copy of Launch Your Platform, go to: PlatformGrowthBooks.comIn this episode, you'll discover:The importance of choosing the right domain name for your brand and online presence, with valuable tips for selecting a domain name that is simple, memorable, brandable, and scalable. Henry Ford's decision to opt for a short and catchy name like Ford, emphasizing the power of simplicity in brand naming. The risks of rushing into a domain name decision without considering factors like memorability, uniqueness, brand alignment, and potential for growth. Common mistakes to avoid when selecting a domain name, such as long or complicated names, obscure domain extensions, and neglecting trademark violations and social media usernames availability. Key steps to follow in picking the right domain name, including selecting a short, simple, and memorable name, ensuring brandability and scalability for future growth, making it easy to pronounce and spell, avoiding trademark violations, and securing matching social media usernames for brand consistency. Send us a Text Message.Implement the Blogging System that 40x My Online Business! Click here to get the training video

This episode of the Daily Mastermind is a conversation with Brian Fried, an inventor, entrepreneur, public speaker, and the founder of Inventor Smart. With 15 patents and multiple licensed products to his name, Fried shares his journey from recognizing his inventing potential by observing everyday annoyances to becoming a successful inventor. The conversation delves into the process of taking ideas and transforming them into tangible, marketable inventions, highlighting the importance of research, prototyping, patenting, and understanding the market opportunity. Fried emphasizes the significance of trust, making informed business decisions, leveraging intellectual property, and the challenge of navigating emotional attachment to ideas. He offers actionable advice for inventors at any stage of their journey, stressing the potential for anyone, regardless of their background, to bring their ideas to life. 01:30 Unveiling the Inventor's Journey: Brian Fried's Story 04:31 From Balloon Band to Paper Towel Innovations: Brian's Inventions 07:39 Turning Ideas into Reality: Advice for Aspiring Inventors 09:58 The Business of Inventions: Building and Protecting Your Ideas 14:13 Understanding Intellectual Property: Patents, Trademarks, and More 18:47 Decoding Trademarks and Intellectual Property 20:13 The Power of Domain Names and Trademarks 23:32 Navigating Challenges in Intellectual Property 24:03 The Importance of Trust and Due Diligence 27:48 Strategic Advice for Protecting Your Ideas “It's Never Too Late to Start Living the Life You Were Meant to Live” George Wright III FREE Daily Mastermind Resources: CONNECT with George & Access Tons of Resources Get access to Proven Strategies and Time-Test Principles for Success. Plus, download and access tons of FREE resources and online events by joining our Exclusive Community of Entrepreneurs, Business Owners, and High Achievers like YOU. Join FREE at www.JoinTheEvolution.com   About Brian Fried: Brian Fried, “The Inventor Coach,” ignites innovation. A dynamic innovator, author, and speaker with 15 patents to his name, Brian has transformed ideas into licensed products and successful ventures seen on QVC, in infomercials, and on the shelves of major retailers. For over 18 years, he has guided inventors from concept to commercialization as a dedicated invention licensing agent. Brian engages audiences with insightful talks on innovation, sharing his expertise with budding inventors, corporate teams, and agencies. He is the author of three books packed with actionable advice for navigating the invention landscape. Additionally, through his online platform, InventorClass.com, he offers a comprehensive 3-hour eLearning course that provides DIY guidance for inventors at all stages of their development. As the founder of the National Inventor Club, Brian hosts monthly livestreams featuring guest speakers who explore various aspects of the invention process, offering both inspiration and practical advice. In October 2023, Brian launched the Inventor Smart Community app, a groundbreaking platform designed to enhance networking, collaboration, and social media engagement among inventors. Available on Google Play and the Apple App Store, this app enables inventors to connect, share ideas, and access a wealth of resources, furthering Brian's commitment to empowering global innovation. Guest Resources: LinkedIn Page: https://www.linkedin.com/in/brianfried Facebook:  https://www.facebook.com/brian.fried.39  Website: https://brianfried.com/ YouTube Channel:  https://www.youtube.com/channel/UCHMzAuup-pvZSPOvwirZqY   About George Wright III: George Wright is a Proven, Successful Entrepreneur- and he knows how to inspire entrepreneurs, companies, and individuals to achieve Massive Results. With more than 20 years of Executive Management experience and 25 years of Direct Marketing and Sales experience, George is responsible for starting and building several successful multimillion-dollar companies. He started at a very young age to network and build his experience and knowledge of what it takes to become a driven and well-known entrepreneur. George built a multi-million-dollar seminar business, promoting some of the biggest stars and brands in the world. He has accelerated the success and cash flow in each of his ventures through his network of resources and results driven strategies. George is now dedicated to teaching and sharing his Prosperity Principles and Strategies to every Driven and Passionate Entrepreneur he meets. His mission is to Empower Entrepreneurs Globally to create Massive Change and LIVE their Ultimate Destiny.

This episode of the Daily Mastermind is a conversation with Brian Fried, an inventor, entrepreneur, public speaker, and the founder of Inventor Smart. With 15 patents and multiple licensed products to his name, Fried shares his journey from recognizing his inventing potential by observing everyday annoyances to becoming a successful inventor. The conversation delves into the process of taking ideas and transforming them into tangible, marketable inventions, highlighting the importance of research, prototyping, patenting, and understanding the market opportunity. Fried emphasizes the significance of trust, making informed business decisions, leveraging intellectual property, and the challenge of navigating emotional attachment to ideas. He offers actionable advice for inventors at any stage of their journey, stressing the potential for anyone, regardless of their background, to bring their ideas to life. 01:30 Unveiling the Inventor's Journey: Brian Fried's Story 04:31 From Balloon Band to Paper Towel Innovations: Brian's Inventions 07:39 Turning Ideas into Reality: Advice for Aspiring Inventors 09:58 The Business of Inventions: Building and Protecting Your Ideas 14:13 Understanding Intellectual Property: Patents, Trademarks, and More 18:47 Decoding Trademarks and Intellectual Property 20:13 The Power of Domain Names and Trademarks 23:32 Navigating Challenges in Intellectual Property 24:03 The Importance of Trust and Due Diligence 27:48 Strategic Advice for Protecting Your Ideas “It's Never Too Late to Start Living the Life You Were Meant to Live” George Wright III FREE Daily Mastermind Resources: CONNECT with George & Access Tons of Resources Get access to Proven Strategies and Time-Test Principles for Success. Plus, download and access tons of FREE resources and online events by joining our Exclusive Community of Entrepreneurs, Business Owners, and High Achievers like YOU. Join FREE at www.JoinTheEvolution.com   About Brian Fried: Brian Fried, “The Inventor Coach,” ignites innovation. A dynamic innovator, author, and speaker with 15 patents to his name, Brian has transformed ideas into licensed products and successful ventures seen on QVC, in infomercials, and on the shelves of major retailers. For over 18 years, he has guided inventors from concept to commercialization as a dedicated invention licensing agent. Brian engages audiences with insightful talks on innovation, sharing his expertise with budding inventors, corporate teams, and agencies. He is the author of three books packed with actionable advice for navigating the invention landscape. Additionally, through his online platform, InventorClass.com, he offers a comprehensive 3-hour eLearning course that provides DIY guidance for inventors at all stages of their development. As the founder of the National Inventor Club, Brian hosts monthly livestreams featuring guest speakers who explore various aspects of the invention process, offering both inspiration and practical advice. In October 2023, Brian launched the Inventor Smart Community app, a groundbreaking platform designed to enhance networking, collaboration, and social media engagement among inventors. Available on Google Play and the Apple App Store, this app enables inventors to connect, share ideas, and access a wealth of resources, furthering Brian's commitment to empowering global innovation. Guest Resources: LinkedIn Page: https://www.linkedin.com/in/brianfried Facebook:  https://www.facebook.com/brian.fried.39  Website: https://brianfried.com/ YouTube Channel:  https://www.youtube.com/channel/UCHMzAuup-pvZSPOvwirZqY   About George Wright III: George Wright is a Proven, Successful Entrepreneur- and he knows how to inspire entrepreneurs, companies, and individuals to achieve Massive Results. With more than 20 years of Executive Management experience and 25 years of Direct Marketing and Sales experience, George is responsible for starting and building several successful multimillion-dollar companies. He started at a very young age to network and build his experience and knowledge of what it takes to become a driven and well-known entrepreneur. George built a multi-million-dollar seminar business, promoting some of the biggest stars and brands in the world. He has accelerated the success and cash flow in each of his ventures through his network of resources and results driven strategies. George is now dedicated to teaching and sharing his Prosperity Principles and Strategies to every Driven and Passionate Entrepreneur he meets. His mission is to Empower Entrepreneurs Globally to create Massive Change and LIVE their Ultimate Destiny.

What are the costs of building a (not) dating app? $ BTC 62,825 Block Height 843,300 Today's guest on the show is @matteopelleg founder of @orangepillapp who joins me to unpack a year after launch. What is @orangepillapp and how can it impact your life? Why was @matteopelleg forced to scratch his own itch and dive into building a #Bitcoin business? How expensive is it to build an app? Where do you find investors? How do you hire Devs? Why do you buy 100's of Domain Names? A huge thank you to @matteopelleg for coming on the show and for all the hard work he has put into building @orangepillapp. Sign up here to find your nearest plebs/events and merchants! https://signup.theorangepillapp.com/opa/princey ALL LINKS HERE - FOR DISCOUNTS AND OFFERS -  https://vida.page/princey - https://linktr.ee/princey21m Pleb Service Announcements. @orangepillapp That's it, that's the announcement. https://signup.theorangepillapp.com/opa/princey Thank you: @swan @relai_app @ShiftCryptoHQ @wasabiwallet @mempool @KonsensusN  for your trust and support.  Support the pods via @fountain_app  -https://fountain.fm/show/2oJTnUm5VKs3xmSVdf5n  Shills and Mench's: ZAPRITE - https://zaprite.com/bitten Invoicing service for Bitcoiners - Save $40  ORANGE PILL APP - https://signup.theorangepillapp.com/opa/princey SWAN BITCOIN -  www.swan.com/bitten  RELAI - www.relai.me/Bitten Use Code BITTEN BITBOX - https://bitbox.shop/?ref=BITTEN Use Code BITTEN HODL HODL - https://hodlhodl.com/join/BITTEN  WASABI WALLET - https://www.wasabiwallet.io/ MEMPOOL - https://mempool.space/ KONSENSUS NETWORK - Buy bitcoin books in different languages.  Use code BITTEN for 10% discount - https://bitcoinbook.shop?ref=bitten  SEEDOR STEEL PLATE BACK-UP - @seedor_io use the code BITTEN for a 5% discount. www.seedor.io/BITTEN STACKING SAT http://stackinsat.com/signup/?r=Bitten SATSBACK - Shop online and earn back sats! https://satsback.com/register/5AxjyPRZV8PNJGlM  HEATBIT - Home Bitcoin mining - https://www.heatbit.com/?ref=DANIELPRINCE - Use code BITTEN. CONFERENCES: BTC PRAGUE. @BTCPrague 13th -15th June 2024. Use code BITTEN for a 10% discount. https://www.btcprague.com/ticket-types/ 

Anthony M. Verna III, is the managing partner at Verna Law, P.C. His JD is from Rutgers University and his BA is in Computer Science from Case Western Reserve University.  With a strong focus on Trademark, Copyright, Domain Names, Entertainment, and Advertising law, Verna Law, P.C. strives to provide all Intellectual Property services a modern business of any size may need to market and promote itself better.From the very early concept stage, Verna Law, P.C. can conduct a comprehensive, all-encompassing search and analysis on any proposed trademark to head off complications. Once the proposed concept enters the Alpha stage, Verna Law, P.C. can seamlessly switch to handling registration, protection, and if needed, defense of registered trademarks, copyrights, and domain names, as well as prosecution of entities violating said rights.Verna Law, P.C. also provides intellectual property counseling and services tailored to fit into your business' comprehensive growth strategy. This shows as many of Verna Law, P.C.'s clients are international: from China, the United Kingdom, Canada, and Germany, Verna Law's reach is worldwide.  Additionally, Verna Law, P.C., can handle your business' Entertainment and Advertising law needs by helping your business create advertising and promotions that keep competitors and regulators at bay.Anthony M. Verna III  is a member of the New York and New Jersey Bars, as well as the U.S. District Court Southern District of New York. Connect with Anthony:Website: https://vernalaw.com/Exciting news! Our $4,500 website promotion is now on sale for $2,250. This incredible deal includes an entire year of hosting, maintenance, and an online booking tool. Click here for ProWeb Legal Offer: https://lbms.us/product/proweb-legal-website-and-maintenance Check out our spring website promotion here: https://lbms.us/product/proweb-legal-website-and-maintenance/General Info: Need help with your law firm's digital marketing? Check out these case studies of some killer results we have gotten for law firms just like yours.Click here to review the case studies: https://lbmsllc.com/lp-attorneys/Click here for a free online presence report and marketing analysis. Connect With Us On Social Media:Facebook: https://www.facebook.com/lbmsllcInstagram: https://www.instagram.com/lbmsllc/Twitter: https://twitter.com/lbmsllcLinkedIn: https://www.linkedin.com/company/local-business-marketing-solutionsAlignable: https://www.alignable.com/fanwood-nj/local-business-marketing-solutionsConnect With Frank Directly on LinkedIn: https://www.linkedin.com/in/fdemming/YouTube: https://www.youtube.com/@lbmsllc

Acquiring domains isn't always easy. Domain buyer broker Bill Sweetman of Name Ninja returns to the show this week with more wacky domain name tales. Bill has met some interesting people while acquiring domain names and social media handles. On today's show, you'll hear the tales of Pedro the Paranoid, The Satisfied Senior, The Lucky […] Post link: Wacky domain name tales – DNW Podcast #481 © DomainNameWire.com 2024. This is copyrighted content. Domain Name Wire full-text RSS feeds are made available for personal use only, and may not be published on any site without permission. If you see this message on a website, contact editor (at) domainnamewire.com. Latest domain news at DNW.com: Domain Name Wire.

BACKONFIGG EP:168 Wack100 Says T-Rell Got Marked Out | Kai Cenat Buys Prostitute Domain name Learn more about your ad choices. Visit megaphone.fm/adchoices

Behind almost every web page, email, and podcast is a system that translates addresses understandable to humans to something which can be understood by computers.  The system is one of the foundations of the Internet, yet its origin was in a handmade list that was placed on a single computer.  Unbeknownst to the creators of the system, it would eventually affect the fortunes of entire countries.  Learn more about the Domain Name System, how it originated, and how it works, on this episode of Everything Everywhere Daily. Sponsors Sign up today at butcherbox.com/daily and use code daily to choose your free offer and get $20 off. Visit BetterHelp.com/everywhere today to get 10% off your first month. Use the code EverythingEverywhere for a 20% discount on a subscription at Newspapers.com. Subscribe to the podcast!  https://link.chtbl.com/EverythingEverywhere?sid=ShowNotes -------------------------------- Executive Producer: Charles Daniel Associate Producers: Peter Bennett & Cameron Kieffer   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Update your podcast app at newpodcastapps.com Discord Server: https://discord.gg/UkRUJFh Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

We are back this week with another candid convo with John, as he dives deep with our latest guest, Mark Holman. Mark is a seasoned entrepreneur, domain name connoisseur, and a compassionate coach. He is the founder and CEO of Datafied Global and Order Medical Records.com. In this chat, Mark and John pull back the curtain on the quirky contrasts in California culture, from Laguna Beach's relaxed vibe to the charged atmosphere of a Santa Monica protest. The geography lesson doesn't stop there; they trek through the sands of Orange County beaches and debate the shifting landscape between Chicago and West Hollywood. But it's not just a travelog, Mark spills the beans on his leap into entrepreneurship and brushes with high-end vacation spots. They cruise down the Pacific Coast Highway, touch on the luxury of Pelican Hills, and set the scene at the once-iconic Arlington International Racetrack. Gear up for a mix of speed and giving back, as Mark gets real about his passion for off-road and horse racing, while simultaneously spotlighting his heartfelt venture, Red Shirt Friday. They're all about rallying corporate muscle to support our deployed soldiers, with Mark giving us the low-down on how they're helping veterans get back on their feet. John and Mark aren't shy about their love for flicks either, dishing out recommendations that range from "Hollywood Nights" to "Tombstone." Hang tight as they geek out over domain names, hashing out the ins and outs of ".ai" extensions and branding goldmines, with Mark turning down a whopping $85k offer for a prime domain. They keep it real, with Mark bringing his coaching experiences to the table, reminiscing about his 40-season streak, and a fresh endeavor to support the unsung heroes of high school sports through ratemycoaching.com. The chat takes a serious turn, as John and Mark celebrate the incredible work of Gigi's Playhouse.  But wait, there's more! They don't just talk shop; they bring startup wisdom, accountability secrets, and major kudos to proactive teachers. Mark doles out sage advice, pushing budding entrepreneurs to grab "The Millionaire Fastlane" and runs us through the needs of a growing business. As the mic cools down, John ties it all together, noting his journey of selling his company after a rollercoaster decade, while Mark dishes on the need for rock-solid systems amidst his company's surging growth. This is a whirlwind episode with brains, heart, and a dose of horsepower — you won't want to miss this amazing blend of life advice and entrepreneurial spirit!   Topics Include: The Challenges and Rewards of Coaching The Journey of Self-Funding a Business The Importance of Accountability in Business The Role of Technology in Business Growth The Intriguing World of Domain Names   Connect with Mark: Datafied Global LinkedIn Red Shirt Friday The Millionaire Fastlane Instagram   Follow John: Instagram TikTok LinkedIn   For More Info on John's Book: https://2000percentraise.com/ More 2000 Percent Raise Episodes and Content: https://linktr.ee/2000percentraise   Produced By: Social Chameleon