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Santhosh Srinivasan, VP of Treasury at Nium, joined us to discuss the firm's partnership with Coinbase to enable USDC payments for banks, fintechs, and enterprises worldwide.Topics:- Nium's partnership with Coinbase and Circle and enabling stablecoin payments - The future of payments with stablecoins and tokenized deposits - Institutions adopting stablecoins and cryptoBrought to you by
Connect with Early Riders — https://www.earlyriders.com/contactConnect with Onramp — https://onrampbitcoin.com/contact-us/Presented collaboratively by Early Riders & Onramp Media…Final Settlement is a weekly podcast covering capital markets, dealmaking, early-stage venture, bitcoin applications and protocol development.This week Brian, Michael, and Liam cover Anthropic's Mythos and Fable controversy and the orchestrated open-source-vs-frontier AI dynamic (Microsoft eyeing DeepSeek for enterprise, Japan's Sakana Fugu launch, Goldman's 24x token forecast by 2030), Franklin Templeton's new ETFs that auto-invest stock dividends into Bitcoin, Fidelity and State Street's entry into stablecoin reserve management, Illinois Governor Pritzker's 0.2% crypto wealth tax, the Fed's 130-page stablecoin KYC rulemaking, Binance's MiCA expulsion, Coinbase's tokenized-stocks rollout, SpaceX's IPO run and $60B Cursor acquisition, and the latest on Strategy's stretch product.Chapters00:00 - Introduction and Current Events03:04 - Anthropic's Mythos and Fable Controversy05:58 - The Role of Open Source in AI08:54 - AI Models and National Security Concerns11:54 - Microsoft's Strategic Moves in AI14:57 - The Future of AI Infrastructure17:55 - The Dynamics of AI Token Consumption21:06 - Emerging AI Technologies and Market Trends24:10 - Japan's Entry into AI with Sakana Fugu27:11 - Open Source Challenges and GitHub Controversy30:31 - Merging Money and AI for Market Success32:08 - Stablecoin Management: Fidelity and State Street's Moves33:59 - Innovative ETF: Dividends into Bitcoin38:48 - Regulatory Challenges: Illinois Crypto Tax42:52 - Stablecoin Issuer Regulations and KYC48:54 - Tokenized Stocks: Coinbase's New Offering50:53 - SpaceX's Rapid Growth and Market DynamicsIf you found this valuable, please subscribe to Early Riders Insights for access to the best content in the ecosystem weekly: https://www.earlyriders.com/researchKeep up with Michael:https://x.com/MTangumaKeep up with Liam:https://x.com/Lnelson_21Keep up with Brian:https://x.com/BackslashBTC
https://youtu.be/b_G8krkwKv8 Ganesh Krishnan, CEO of AiHello, is helping Amazon sellers automate advertising, improve profitability, and scale their businesses using AI. Driven by a mission to give entrepreneurs more freedom and enable them to build businesses around products they love, Ganesh shares how AI can eliminate repetitive work while allowing business owners to focus on strategy, innovation, and growth. In this conversation, Ganesh introduces The AiHello Ads Framework: Tap into the Wisdom of Crowds, Find the Right Keywords, Bid at the Right Level, Dynamically Adjust Bids, and Rinse and Repeat. He explains how AI can leverage historical marketplace data to identify profitable keywords, optimize bids automatically, and continuously improve campaign performance. Ganesh also discusses the dangers of AI hallucinations, why Amazon's incentives differ from sellers' incentives, how AI has transformed his own company's operations, and his vision for building zero-hallucination AI systems capable of advancing toward artificial superintelligence. — Build AI Superintelligence with Ganesh Krishnan Good day, dear listeners. Steve Preda here, and welcome Ganesh Krishnan, the CEO of AiHello, an Amazon Ads automation company helping you grow your revenues, reduce work hours spent on ads management, and decrease your ad costs. Welcome to the show, Ganesh. Thank you, Steve. Nice to meet you Well, it’s great to have you here, and let’s jump right in. And my first question is, what is your personal ‘Why,’ and how are you manifesting it in AiHello? So it started off with my thesis that we all need to do good towards the planet. A long time ago, I started having my own natural things, selling chemical-free, ecological, sustainable, good-for-the-planet, good-for-your-wallet, good-for-your-health items, and I would sell organic items. And eventually, what I realized was that it was taking a lot of my time marketing, managing it, changing the bids, doing everything. I started working more and more on AI because I’ve worked in AI commercially. I worked in AI in my industry. That was my job. So I said, “Why not use, apply that to my own startup, to my own industry for selling organic things?” And once I started selling it, some of my friends reached out and said, “Can we use your AI for our own businesses?” And I said, “Sure, why not?” And then I started opening it up. And then one person came through and said, “Okay, let’s release it to the general public, see how it goes.” And then as we started earning money, I realized that I don’t need to do a job. I can have this startup, and I can help different people have their own lifestyle. You could have your own lifestyle. You could sell your own stuff that you like, e-commerce, usually on Amazon, and then we help you have your lifestyle. So this is my personal ‘Why’, is we need more equality. We need more people doing stuff they love rather than doing stuff they hate to do, and they hate to wake up and go to work. So do what you love. We are here to empower you. Wow, that’s amazing. So you are empowering people to start their own e-commerce businesses on Amazon, and you help them with AI tools to get up to speed and compete with the big boys. That is correct. Yeah. I love it. So on your LinkedIn profile, you mentioned that you are, I don’t know what the word was that you used, but something to do with superintelligence, AI superintelligence. So what is it that you are doing, and what is your vision of how AI superintelligence can be tapped into? It’s a very long topic. But to start off with, we used the old form of AI, which is a lot of regression, a lot of statistics, a lot of big data learning, and a lot of neural networks, if you felt fancy. And then LLMs became a huge thing. And we launched AiHello probably six or seven years ago. LLMs became a big thing two or three years ago. And it was pretty fancy. It was very good. It made life easy for us. But we cannot use it within AiHello to give it to clients, primarily because LLMs start hallucinating once you go past a certain context. The problem with hallucination is that it exponentially becomes larger and larger. Because if the previous thesis is wrong, if your previous hypothesis is wrong, then it builds on top of it, and it builds the wrong things. Hallucination exponentially becomes worse. And when it comes to finance, when it comes to ads, and when you’re working with sensitive data, this can be catastrophic. So you cannot use these large language models for finance, for situations where you need precise data, and especially when you have lots of context. It’s going to lose the context of the first part. Just because you mentioned something at the start of the conversation doesn’t mean it’s not important. It is critical. As humans, we understand what is the most critical part of a conversation, and then we keep that in mind. But LLMs, because of context limitations, just keep on going and start hallucinating. So a few months ago, we came up with the idea that we could use something like a large language model, but not based on the transformer model. And we could base it on data so that there is almost zero hallucination. So instead of building weights, we build it based on data. And we launched this. We don’t use it on AiHello, but we decided to use it on an email service because we have a lot of emails. We process a lot of emails for clients. We process a lot of emails for specialists. So we could use the zero-hallucination approach within emails, and if it is successful, then we can put it into AiHello. And we can, of course, release it as an API as well. So this is going to set the basis of artificial superintelligence because what is stopping us right now from reaching or breaching that wall of artificial superintelligence is this hallucination. And of course, there is also logic. LLMs are pretty stup*d. They don’t understand. You can teach them, they learn, but they do not question what you teach them. They always take it on blind faith. Yeah. Wow. That is genius. I love it. You are going to un-hallucinate AI. And if it stops hallucinating, essentially it becomes a lot more powerful and scalable. AI becomes scalable, or this whole process becomes scalable. That’s fascinating. So your ‘Why’, your mission, is to empower all these people to run their businesses. Do you have a framework for this that you could describe in three to five steps? How do you get someone up and running with their own business on an e-commerce platform? Or do you have any other framework that you could share with the audience? Something simple that they may be able to benefit from? One of the caveats of using AI is that it needs a lot of data. So if you’re just starting out with your e-commerce business, you need to put more of your human intelligence, more of your gut instinct, more of your thoughts, and more of your emotions into building it out. And once you have built up enough data, then you can put it into AiHello and start automating it. So what I would say, if you’re starting an e-commerce business, is hire a specialist who can help you launch off the ground. Do a bit of the hypothesis work, do a bit of the analysis, and then come to AiHello and start automating it. You can only start automating once you have a good idea of how things work for you. And finding how things work for you is something you need to do on your own. It’s like you can’t start running, or you can’t start driving a car, until you learn how to crawl and until you learn how to walk. Okay. So basically, it’s the age-old innovation thing that you have to innovate something on your own, and then you can scale it with AI. That is correct. Yeah. So let’s say I came up with some kind of formula, concept, or product that is currently not being promoted, and I believe it would work. Or maybe I’ve already tested it and I want to scale it. I want to get on Amazon and sell it there. What can you do for me? What are the steps for me to be successful with AiHello’s help? So the first thing when you select a product, is: what are the keywords for it? What keywords do you use for that product? The second would be: what are the bids for that product? For each keyword, what is the right bid to put up? And then you have other things like budgeting. Do you change the bid depending on the time of day? Do you change the bid in total? Those are the things that you need to keep adjusting continuously. With AiHello, we automatically harvest the right keywords for your product. We change the bid. We optimize the bid. We also do dayparting, where you can change the bid depending on the time of day. So there are different things that you can use AI for. You could certainly do all of it manually, but it’ll probably take you days or weeks to do what AI can do in a couple of minutes. So a couple of minutes. But doesn’t the AI also need traffic data to be able to define things? Yeah. So one of the other things about AiHello is that, because we have the wisdom of crowds, if you come up with a keyword, we know exactly how that keyword is going to perform. As you say, you have the wisdom of crowds. Can you extrapolate what you’ve experienced with other products and other customers onto a new product that doesn’t yet have a lot of traffic? Is this what you mean by the wisdom of crowds? Or what do you mean by the wisdom of crowds? Let me give you an example. Let’s assume you want to sell coffee, and you go to our platform and say, “This is my product. It’s coffee. Help me sell it.” So what we do is, we know this is coffee. What are the keywords around it that are going to help sell it? Because we’ve sold other coffee products, we know that organic coffee sells well. We know coffee in the morning sells well. Black coffee sells well. Caffeine sells well. And we also know, based on the previous performance of other keywords, what a good bid is for each keyword. If you don’t know the keywords, then of course you have to spend time researching them. And if you don’t know the bids, then you have to spend time researching what bid to put in. But we do all the research for you, and you put it in. And the second part, the bigger part, is that if the bid doesn’t work out, if you’re not selling, then we increase the bid automatically. If you are losing money, then we decrease the bid automatically. So that bid optimization is a critical part of AiHello. Yeah. We use Amazon ads to promote my books. And yes, it takes a lot of skill to find the keywords, eliminate the negative keywords, adjust the bids, have the right bids, and avoid overspending or underspending. But Amazon also does much of the machine learning. So what is it that Amazon does, and what is it that you have to do? And why doesn’t Amazon do what you have to do? The most critical piece of information to keep in mind is that your aims and objectives are the opposite of Amazon’s aims and objectives. Amazon’s aim is to make money, and your job is to make money. You don’t care if Amazon makes money or not, and Amazon doesn’t care if you make money or not. So when you put up a bid, when you run ads, Amazon will maximize that ad spend, whatever it is. In some ways, it’s like a casino. You go to a casino, and the job of the casino is to win money from you, and your job is to win money from the casino. Ads have become a lot like gambling nowadays. You throw money into it. You expect to make money. Ninety percent of people lose money, and they give up. And Amazon always finds fresh sellers to move on. You cannot depend on Amazon because Amazon is not on your side. Yeah, that makes perfect sense. Yeah, I always thought that on some platforms it was really difficult to make money with ads. Facebook, I think, is so competitive that it’s probably very difficult to make money. I know a lot of people who have spent a lot of money on Facebook, but I don’t know very many who have figured out a formula that continues to work. Okay. So you’ve helped someone find their keywords, the right bids, and how to adjust those bids. But what we’ve found is that at some point, ads die, and then we have to switch things up. It actually happens quite frequently that you have to create new campaigns and new ads. So what’s the dynamic there? How do you optimize so that you’re not still supporting ads that don’t work anymore, and you switch at the right point? So when we say ads, it’s not technically the campaigns. A campaign is just a container for all of your ads. You have products inside it, and you have keywords inside it. So a campaign is made up of products and keywords. And the question is, when you say ads die, did the keywords die? Then you need to add new keywords, right? You always have to keep adding new keywords and testing new keywords. It’s a continuous job of trying to find the right keywords for your book or your product, and then optimizing the bids constantly to make sure that you’re profitable. You have to make sure that your ads don’t die because of a lack of fresh keywords. And of course, there’s always a limit to the number of keywords you can add because each product has a limited number of keywords that people are searching for. Maybe there’s a long-tail keyword that’s going to make money, but there’s not enough search volume. Or maybe there’s a high-volume search keyword, but it’s not profitable for you. So you have to figure out what the right strategy is for you. Eventually, if your product is good, you’ll make money. If your product is not good, you won’t make money. That’s the bottom line. With ads, you quickly find out if your product… So essentially, it’s a cyclical thing. So you find the keywords, you figure out the right bids, you adjust the bids, and then you have to find new keywords and keep doing this. Yeah. So why do keywords go stale? Do people not search for certain things anymore? There could be multiple reasons for it. One reason is that a competitor has come in and taken your search volume. And you have to know: are you losing search volume? Are you gaining search volume? Has your search volume dropped off? The second reason is that people are not searching for that keyword anymore. Is it out of fashion? The third is: are you underbidding? Is the bid too low? Again, you would know by the number of impressions. Have the impressions dropped off? If the impressions have dropped off, is it because of a competitor? If it’s not because of a competitor, are people searching less? Are your bids too low? If the search volume is the same, are people clicking less? Why are they clicking less? Is it your images? Is it your product? Is your product no longer in fashion? I mean, I don’t know. Maybe a few months ago, fidget spinners were really in fashion, and nowadays no one uses them. So those things go out of fashion. Yeah. The spinners, I remember. They’ve been out of fashion for a while. Yeah. Yeah, that’s fascinating. So it’s a never-ending cycle of innovation and figuring out what works and what doesn’t work. So let me ask you this: What drives growth in your business? Most of the growth is… There are different ways to put it. Four years ago, we used to create a lot of blogs. We used to create lots of content. We used to create lots of YouTube videos. And then ChatGPT came along. If you ask kids now, “Do you Google that?” They don’t know what Google is. They really don’t know what Google is. And that’s not a cliché. It’s surprising. They’ll be like, “What Google?” Everything goes through ChatGPT. So for us, growth went from Google to ChatGPT. And we didn’t spend enough time optimizing for LLMs on our site. So what drove growth before was blogs and YouTube. And what drives growth now is large language models like ChatGPT and Claude. People just ask ChatGPT, “What do I do about this on Amazon?” It recommends solutions, and then we go through them. So how do you leverage large language models or AI applications? This was one of the biggest boosts to our company. We managed to set the processes right. We managed to create the templates. We managed to bring structure to our company. Development work has become ten times faster. The turnaround is ten times faster. We’re able to release features quickly. We’re able to find bugs in our existing code quickly. There are a lot of things going on. If I were to say that our company is no longer the same company it was even a year ago, that would not be an exaggeration. It would be the truth. What we were a year ago is not at all what we are right now. So in what way did you change? Is it coding that accelerated and changed everything? I mean, in what other ways did you change as a company? So the code is all done with AI first. Our developers use AI. They put in the prompt, they check the results. There is a second developer who checks whether everything is okay and whether everything is done. And then finally there’s QA, and then we push it to staging. We used to do roughly one-month or forty-five-day sprints. Now we do weekly sprints. So it has gone four times faster. The biggest hurdle for us was managing clients and how we manage them. We never had any structure. So we talked a lot with ChatGPT. We talked a lot about what the right way was to bring structure and accountability into the system. We managed to set up all the software required for accountability. It helped us fix those issues. It created structure. It created accountability for all the people, and then we implemented that. Finally, the last one, which was the most debatable, is that we require a lot of content. We require a lot of graphics. We require a lot of videos for clients on Amazon. I actually went to buy something on Amazon a few days back, and what was puzzling was that when I zoomed in on the images, you could see they were AI-generated because they all had these silly AI mistakes—spelling mistakes, random words. So almost everything on Amazon right now, all the images, are kind of AI-generated. It’s hard to blame them. We ourselves use AI for a lot of the images. We make sure we don’t have the silly mistakes, but we do use AI as well. So the turnaround time for graphics is faster because of AI as well. Though some clients do complain that they don’t like AI-generated assets. And if a person looks a bit too AI-generated, they just reject it outright. So that is the most debatable part of it. But overall, our company is called AiHello. It’s AiHello. And if we don’t say hello to AI, then we’re not AiHello. Yeah. Love it. I love the head and the one arm. Yes. The hello, and that’s it. Yeah. So what is one thing that you’re actively trying to figure out in your business right now? We are a remote-first company, and I’m struggling to bring about accountability among all the team members. We do have a good number of employees. Ninety percent of our employees are good. Ten percent still have accountability issues. And for me, that is a bit of a hurdle. It is a bit of a challenge to push those people who are dragging their feet about AI. Yeah. Because they are not comfortable with AI. They want to do what they are good at and don’t want to do something new. There is also a bit of hesitation that they might lose their jobs because of AI, although we’re not planning to let go of anyone. Rather, we are hiring more people because we’re able to grow faster. There is an old saying that companies won’t go extinct because of AI, but companies that don’t use AI will go extinct because of AI. Because we are using AI a lot, there is a chance for us to scale, for us to expand significantly. And I want to tap into this advantage and grow. I want to hire more people, and I want to grow. I don’t want to let people go. So this is a very good opportunity. You hear about Coinbase letting people go. You hear about Facebook letting people go because of AI. And I think those are all nonsensical excuses. Those companies are not growing very well, and they are blaming AI for letting people go, which I think is absolutely nonsensical. There is a very good opportunity for people to grow and for companies to grow using AI and increase their hiring. If you’re letting people go because of AI, it’s just a nonsensical excuse. So what do you think is the mental hang-up for people? What prevents better AI adoption or faster AI adoption? A long time ago, when computers were being introduced into many industries, I remember there were huge protests because people thought computers would take away jobs. And it did happen. People did lose jobs because of computers. There were many people pushing papers who lost their jobs. And a lot of people refused to learn about computers because they said, “This is nonsensical. I can do it better by hand.” Can you imagine telling people right now that it’s better to do things by hand than to use a computer? I mean, if you want to do calculations, please don’t use Excel or Google Sheets. Use a pen and paper and tell me you can do it better. It would be absurd to think that way. But at that time, people really did have the mentality that it was better to do things by hand than with Excel. Now, the AI revolution is probably a thousand or a million times bigger than that. And you can drag your feet. There will always be people who drag their feet and say, “I can do it better. AI is just nonsensical.” And sure, some of that is true. But the overwhelming majority of tasks are going to be done extremely well with AI. And it’s not just large language models. It’s everything. Regression analysis, data analytics, big data analytics, forecasting, calculations. I’m not even talking about transformer models. I’m talking about everything related to AI. So much can be automated and done by AI that if you’re not involved with it, you’ll get left behind, just like the people who didn’t use computers. Do you feel like people have to be highly educated to be able to use AI? Or can people with less formal education benefit from it as well? I don’t think it has anything to do with education. I think the learning curve for AI is smaller than the learning curve for computers. If you’re already using computers, you can just install a command-line interface and have things running. Actually, you can go to ChatGPT and ask some questions, and you can build something. But if you want to build serious applications, you can use a command-line interface and build them out. I think the learning curve is probably just a couple of hours to become proficient with these tools. I’m thinking more about this: As AI tools develop and take many of the routine, repeatable tasks off our shoulders, doesn’t that mean we will spend more of our time on high-level thinking and orchestration? And won’t that require some kind of mental ability to do that? It requires you to understand context, understand the implications of things, and be able to connect the dots. So that’s what I mean. The people who can really use AI tools have this higher level of awareness and thinking. They can combine ideas and create new things. But are there AI tools that people with less advanced analytical skills can also use? Absolutely. And you’re 100% right. You’re 101% right. This is what I’ve been advocating for a very long time. Don’t spend your time doing mundane, repetitive daily activities that can be automated. Let AI handle them. You should focus on the things AI cannot do right now, which is human-level intelligence: Strategizing. Planning. Working on the bigger-picture tasks. So you’re 100% right, and that’s the direction we should be moving in. And this brings me back to the point I made earlier: You should do what you love. The things you don’t love, the repetitive tasks, should be done by AI. Yeah. Love it. So what is your vision, ultimately, for AiHello? So my vision for AiHello goes beyond AiHello. We have something called HalZero, which is the engine we want to put behind AiHello. It’s a zero-hallucination LLM. And we are working toward making it happen. We plan to release an API for it soon. If it does happen, then we would probably have a model that can take in data and answer general-knowledge questions with zero hallucination. And we’re building it based on how the human brain works. The human brain is not one-dimensional. ChatGPT is one-dimensional. Transformer models are one-dimensional. You give them data, they run it through the transformer model—the encoder and decoder—and then they give you an answer. But the human brain is built in layers. What we call the lizard brain sits at the base, and as you go higher, things become more and more complex. So the brain is information and action, and everything is filtered through it. Then we act on the filtered result. Machine learning models right now do not have these kinds of filters. They have something similar, which is called chain of thought, but that’s really thinking out loud. This kind of reasoning should exist within the latent space of the machine learning model. It should be built into the model itself. I’ll give you an example. If you had been taught all your life that the sun is green, and tomorrow you woke up in Virginia, went outside, and saw that the sun was yellow, you’d say: “Oh my God, I’ve been lied to all my life. The sun isn’t green.” You would question what you had been taught based on a single observation. But if a machine had been trained for years that the sun is green, and then it saw that the sun was yellow, it might conclude: “The sun is wrong today because I’ve been taught that the sun is green.” The real test of intelligence is this: Can it question its training data? And the answer is no. It won’t, because it has been trained on that data. It has been trained on those tokens. Yeah. So that’s AI superintelligence? The ability to question the training data? That is correct. Yeah. So we build it based on connections. How strong is this connection? How many people have stated this fact? What is my own observation? Which observation is stronger? There is always conflict. In the human brain, there is always a conflict between what people say and what we think. Then our logical brain chooses what is usually the best answer. That is how we have a collective consciousness. We also have a personal consciousness. We always have to decide which one is best. Love it. Well, that’s great. So if you’re running a business and you need to sell a product, and you want to figure out how to be successful on Amazon, how to leverage your ads, and how not to overspend, where should you go? How can people get in touch with you, Ganesh, and your team? And what’s the first step for listeners? You can send me an email at ganesh@aihello.com. You can connect with me on LinkedIn. I’m always available, and I’m happy to have a chat with you. All right. So if you’re listening out there and you’re in e-commerce, or you want to get into e-commerce, and you don’t know how to leverage all the tools that are out there, don’t forget: Amazon is in the business of making money, not necessarily making your business profitable. So you can use AiHello to help you. Reach out to Ganesh on LinkedIn and get your team involved. And if you enjoyed listening to this episode, make sure you check back every week because I have successful entrepreneurs sharing their ideas—or at least some of the good ones—with you. So thanks, Ganesh, for coming. Thank you, Steve. And thank you for listening. Important Links: Ganesh's LinkedIn Ganesh's website Ganesh's email: ganesh@aihello.com
CertiK is backed by Tiger Global and Coinbase. They classified Nancy Guthrie's alleged abduction as a wrench attack by proxy and referenced a six-million-dollar Bitcoin ransom demand. Their report used the phrase proxy target selection — language that implies the attackers may not have found the person they were looking for.Nancy Guthrie is eighty-four. She has no known crypto holdings. She lives in Catalina Foothills, a neighborhood where the houses and the people inside them are worth targeting. The question this conversation puts on the table: did whoever showed up at Nancy's door have the wrong address? And if they did — who in that neighborhood was the intended mark?Three searches near the Mexican border. Twenty-five unmarked graves. None connected to Nancy. Retired law enforcement officials pointing to the Tohono O'odham reservation as a plausible route south. This case is not what most people think it is. Jennifer Coffindaffer, contributor to Hidden Killers, walks through what CertiK's classification actually means for the investigation.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#NancyGuthrie #CertiK #CatalinaFoothills #WrenchAttack #BitcoinRansom #MissingPerson #Tucson #TrueCrime #HiddenKillers #JenniferCoffindaffer
On this episode of Run the Numbers, CJ sits down with Confluent CFO Rohan Sivaram to talk goal setting, prioritization, consumption-based pricing, hybrid zero-based budgeting, and the frameworks finance leaders use to scale companies. Rohan shares why he carries his 12-month goals with him, how he evaluates opportunities through TAM, technology, and team, and why usage-based pricing changes the entire operating model.—SPONSORS:EY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cj—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/rohan-sivaram-69007b7/Company: https://www.confluent.io/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:A CFO Explains Marketplaceshttps://youtu.be/LpbH9GpBrSY—TIMESTAMPS:0:00 Preview and Intro2:26 Writing down 12-month goals and carrying them6:33 Rule of 168: 168 hours a week7:36 Delegation and calendar management9:25 Learning to say no: cultural shift11:32 Sponsors — EY | SpendHound | Brex14:29 Joining Confluent: the state of the company16:57 Building blocks of a budgeting process19:46 Execute, learn, adapt21:59 Healthy tension in the planning cycle22:26 Sponsors — Aleph | RightRev | Rillet25:46 What is hybrid zero-based budgeting?30:37 Moving from subscription to consumption pricing32:22 Why this was a one-way door33:56 New metrics required in a consumption business35:28 Evaluating job opportunities: the three T's37:39 Networking and reciprocity39:54 Lightning round40:04 Screwed up: free cash flow sign error42:03 Advice to younger self: take more risks42:38 Finance software stack43:00 AI tools the team has built43:44 Credits
In this episode, Lex chats with Cactus Raazi — CEO Americas at B2C2, one of the original and largest institutional market makers in digital assets, serving roughly 1,500 institutions and pricing across more than 40 exchanges globally. They discuss what a market maker actually does, how balance sheet and signal generation underpin roughly $1 billion a day of stablecoin flow at B2C2, and why the two extremes of crypto market making - riskless principal aggregation versus proprietary alpha - produce very different client outcomes that buyers rarely understand. Cactus explains B2C2's 18-month bet that the Circle-versus-Tether debate would give way to a multi-issuer world, the launch of its PENNY product for instant zero-cost cross-stablecoin swaps, and they explore why programmability is the next frontier for digital dollars, why US capital markets have almost no structure for funding genuine risk-taking businesses, and whether the current combination of scale, speed, and complexity makes this the hardest investing environment Wall Street has ever faced. NOTABLE DISCUSSION POINTS: Market makers aren't a homogeneous category, and clients pay for the difference. At one extreme, a market maker is essentially a riskless agent - aggregating prices across 40+ exchanges and quoting on top with no real view. At the other extreme, a market maker is a proprietary quant shop running alpha signals on horizons from seconds to days, and the price you get is heavily conditioned by where the signal says the asset is going. B2C2 sits in the middle, partly because its public-company parent (SBI) constrains risk appetite. The implication for institutional buyers: who you trade with structurally determines the quality of execution, not just the spread. Algorithmic fixed income market making didn't fail on technology, it failed on capital structure. US capital markets are excellent at funding venture, growth equity, private equity, and buyouts, but there is almost no domestic pool of “risk equity” - capital comfortable with the possibility that the machines (or the humans) lose money on a given day. Market makers need exactly that kind of balance sheet, and the mismatch between what the business requires and what the US capital base offers is a structural reason firms like Elefant struggled, regardless of execution quality. The Circle-vs-Tether framing is already obsolete; the next product wedge is interoperability. B2C2 made an 18-month-old contrarian bet that the duopoly narrative was wrong and that Stripe (via Bridge), Western Union, Revolut, and many other consumer and platform companies would issue their own stablecoins. PENNY - instant, zero-cost, zero-counterparty-risk stablecoin-to-stablecoin swaps - is the product expression of that view. The deeper claim is that stablecoins are software, and the SaaS analogy (a base layer plus an app store of programmable financial logic) is the real reason institutional adoption accelerates from here, not the transfer-of-value benefit on its own. TOPICS B2C2, Goldman Sachs, SBI Group, Binance, Coinbase, Circle, Tether, Stripe, Kraken, Credit Suisse, Market making, institutional liquidity, stablecoins, fixed income, risk management, algorithmic trading, crypto exchange infrastructure ABOUT THE FINTECH BLUEPRINT
On 19 March 2026 Coinbase Asset Management added a tokenised share class to the Coinbase Bitcoin Yield Fund (CBYF) it launched in April 2025. The tokens, issued on to the Base blockchain built by parent company Coinbase, are aimed at institutional investors. Digital fund administration pioneers Apex Group are supporting distribution of the tokens with blockchain-based transfer agency capabilities that automate investor on-boarding and keep transactions in tokenised versions of the CBYF aligned with the register of investors that hold CBYF in non-tokenised form. By conducting a bold experiment in combining the risk and rewards of generating yield on holdings of Bitcoin with the operational benefits of using blockchain technology without compromising on traditional levels of investor protection, Coinbase Asset Management and Apex Group may have found the key to scaling the tokenised funds industry. Future of Finance Co-founder Dominic Hobson will be asking the panellists why asset managers everywhere should be excited about this deal. Hosted on Acast. See acast.com/privacy for more information.
Kalshi just brought crypto perps to the US, targeting a $90 trillion offshore market. Its Head of Crypto, John Wang, explains the bet, the risks, and who Kalshi is actually competing with. ======================================================== Thank you to our sponsor! Fidelity: Fidelity has been building in crypto and DeFi since 2014 — now they're hiring. Explore career opportunities at one of the most forward-thinking names in finance here: crypto.fidelitycareers.com. Cape: Your biggest crypto vulnerability isn't your wallet, it's your phone number. Cape is America's privacy-first mobile carrier that rotates your SIM identity daily and blocks SIM swaps before they happen. Get 33% off your first six months at cape.co/unchained (use code: UNCHAINED). ======================================================== The $90 trillion offshore market for crypto perpetual futures just got its first US-regulated entrant. Kalshi — the prediction market exchange that raised $1 billion at a $22 billion valuation — launched the first CFTC-approved crypto perps, becoming the only domestic exchange approved on launch day. John Wang, Kalshi's Head of Crypto, joins Laura Shin to map how perpetual futures work, why Kalshi's guarantee fund and segregated accounts differ from what offshore venues provide, and how the exchange plans to compete with Hyperliquid, Coinbase, and Kraken. Wang pushes back on CME Group CEO Terry Duffy's claim that crypto perps are "a disaster waiting to happen," noting CME's own futures carry higher leverage than Kalshi's platform. He covers the ARCA and Galaxy block trades on Kalshi's prediction markets, insider trading protections built around athlete and congressional staff lists, and the regulatory filings separating Kalshi from perps on equities. Wang estimates only 0.2% of the US has adopted perpetual futures — the real growth has barely started. Host: Laura Shin, Host / Unchained Guests: John Wang - Head of Crypto at Kalshi Timestamps
The government export-controlled Anthropic's best model. Kain, Luca, and Taylor debate whether Dario talked his way into it and what the shutdown means for every AI lab. ======================================================== Thank you to our sponsors! Multichain Advisors: Get help navigating TGEs, go‑to‑market, BD and partnerships, capital markets advisory, PR, media placements, KOL activations and more at https://multichainadv.com. ======================================================== A reported jailbreak of Anthropic's most powerful model, Fable, triggered US government export controls, and the Uneasy Money hosts argue Dario Amodei's response on the call with the administration made it inevitable. Kain, Taylor, and Luca dig into what Dario got wrong, why a company about to go public had no one in Washington who could speak the government's language, and what it means that the shutdown drew no public backlash. Porter Stowell, CEO of W3.io and a Coinbase alum, joins for the first half with his read on the exchange's big announcement day: agentic payments on Base, tokenized stocks, and a ground-up trading rebuild. Midway through, Luca drops something unannounced: Igloo has built a financial instrument to list crypto tokens directly on the NYSE as securities, with protocol revenue flowing back to holders. The episode closes on Strategy, and why Kain thinks selling 32 Bitcoin, then buying back 1,587 two weeks later, exposes the structural risk of a belief-based asset with one dominant buyer. Hosts: Kain Warwick, Founder of Infinex and Synthetix Taylor Monahan, Security Expert Luca Netz, CEO of Pudgy Penguins Guest: Porter Stowell - CEO of W3.io Timestamps
This week, we're back with another weekly roundup to discuss why the US government placed export controls on Anthropic's Fable model. We then deep dive into open vs close sourced models, will Microstratgey blow up, structuring a portfolio in 2026, Coinbase's new product announcement and more. Enjoy! -- Follow Jordi: https://x.com/gametheorizing Follow Jason: https://x.com/JasonYanowitz Follow Santi: https://x.com/santiagoroel Follow Rob: https://x.com/HadickM Follow Empire: https://x.com/theempirepod -- Robots will soon outnumber humans onchain. peaqOS turns them into a new trusted liquid asset class, with yield tied to real-world workloads. It gives robots all they need to do business on any chain — and lets humans earn from automation. Explore the Machine Economy: https://peaq.xyz -- Timestamps: (00:00) Introduction (07:16) Anthropic's Fable Banned by US Government (20:10) peaq Ad (20:57) Open vs Closed Source Models (26:42) Structuring A Portfolio Post 10/10 (40:07) Will Microstrategy Blow Up? (59:12) Coinbase's Product Announcement (1:05:40) Content of The Week -- Disclaimer: Nothing said on Empire is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Santiago, Jason, Rob and our guests may hold positions in the companies, funds, or projects discussed.
As director of Keyhole, Dave Lorenzini delivered the 3D Earth zooms that ran on CNN during the 2003 Iraq War — netting five million users in a month. Sergey Brin was one of them. Google bought the company and poured in billions to build, fuel, and serve maps. As Google Earth, it forever changed how we relate to space.From there: pioneering work on Google Glass, AR platforms, and running an immersive XR lab in Europe for Draw & Code exploring the future of spaces, places, and faces. Today Dave directs Quantum Studio, building World Agent and 4D ID — the "DNS for real space," an addressing layer where every place, object, and moment gets a name AI systems can agree on. His thesis: the next decade of AI won't run on better maps. AI needs an operating system for reality. Not a map. Not a database. A living, queryable foundation where every place on Earth answers for itself.AI XR News: The OpenAI vs. Musk trial continued with damaging testimony from Mira Murati and Greg Brockman. Anthropic struck an unholy alliance with xAI's Colossus compute. GameStop bid for eBay. Colin Angle is back with Familiar, an AI robot pet. Coinbase cut staff. Ask.com finally died. VRChat hit 100,000 concurrent daily users in Japan.Key Moments:[00:03:34] AWE Long Beach in 30 days: Dave on the board, Snap glasses expected, 400 speakers and 250 exhibitors[00:20:10] 30 AI glasses coming: why the near future belongs to audio-first, AI-powered smart glasses[00:25:34] Keyhole origin story: satellite imagery, $25K/sq mile, Sergey Brin, and a $500M/year acquisition[00:37:30] Google Glass, Luxottica, and why Google blinked when it could have been 10 years ahead of Meta[00:40:00] XR vs. rockets: why building for the human brain is harder than getting to MarsBrought to you by Zappar, the company behind Mattercraft — the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io.Subscribe to the AI XR Podcast wherever you listen to podcasts. Watch the full episode on YouTube: https://youtu.be/weNANIIo7EA Hosted on Acast. See acast.com/privacy for more information.
In this episode, Brendan shares his expert analysis on Bitcoin, Ethereum, Solana, and other altcoins amidst market volatility. We explore technical indicators, fundamental catalysts, and the impact of recent Fed policies on the crypto landscape.Brendan 6 Week Technical Analysis Trading Course https://www.cryptorevolution.com/brendans-mbr-program?utm_source=Internal&utm_medium=YouTube&utm_content=Rundown&utm_term=20260212Check Out Scribe: Scribe.how/CRYPTO101Check Out Webroot: https://www.webroot.com/crypto101Check out Quince: https://quince.com/CRYPTO101Check out Shopify: https://shopify.com/crypto101Check out Mars Men: https://mengotomars.comGet my #1 altcoin pick for this month.Get immediate access to my entire crypto portfolio for just $1.00 today! Get your FREE copy of "Crypto Revolution" and start making big profits from buying, selling,Get immediate access to my entire crypto portfolio.. just $1.00 today! Go here to get access: https://www.crypto101insider.com/cryptnation-directm6pypcy1?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=20250916Get your FREE copy of "Crypto Revolution: Your Guide To The Future of Money". In this book, I reveal how to make (and keep) a fortune during this crypto bull run! http://www.cryptorevolution.com/free?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=20250916Chapters00:00 Market Overview and Bitcoin Analysis09:01 Ethereum and Solana Performance13:55 XRP Insights and Market Sentiment19:10 Bitcoin Supply and Loss Analysis23:58 Market Strategy and Future Outlook25:08 Market Concerns and Strategy's Performance30:47 Catalysts Affecting the Crypto Market34:55 The Fed's New Approach to Data38:52 Illinois Crypto Tax Controversy42:06 Coinbase's Expansion and ETF Developments46:04 Positive Trends in Ethereum StakingSubscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcast?sub_confirmation=1Follow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Mars Men: https://mengotomars.com* Check out NPR: https://npr.org* Check out Quince and use my code quince.com/crypto101 for a great deal: https://www.quince.com* Check out Scribe and use my code Scribe.how/CRYPTO101 for a great deal: https://scribe.com/Crypto101* Check out Shopify and use my code shopify.com/crypto101 for a great deal: https://www.shopify.com* Check out Webroot and use my code webroot.com/crypto101 for a great deal: https://www.webroot.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
The federal government pulled Anthropic's Fable 5 offline with no public process — and Jessi Brooks makes the case it's a crypto chokepoint story, not just an AI one. Thanks to our sponsor!
The crew breaks down the SpaceX IPO's crypto-like low float dynamics and Hyperliquid's price prediction, debates accredited investor laws and failed tokenized stock allocations, dives into Fable 5's export control shutdown after Amazon flagged a jailbreak to the Treasury Secretary, and argues whether open source AI models will eat frontier pricing. Welcome to The Chopping Block — where crypto insiders Haseeb Qureshi, Tom Schmidt, Tarun Chitra, and Robert Leshner chop it up about the latest in crypto. Robert is back after a brief hiatus recording his own podcast, The Pop, for Superstate — and the crew wastes no time roasting him for it before diving into the biggest week of news in recent memory. First up: the SpaceX IPO, the largest in history, and why it looks eerily like a crypto token launch — 4.2% float, retail getting cut out, and Hyperliquid perps predicting the first-day pop almost to the dollar. The crew debates TradeXYZ's winner-take-all dominance of HIP3 and why building on top of Hyperliquid might be a terrible startup environment. Then they unpack Elon's financial engineering genius — the Cursor acquisition as all-stock crypto playbook, XAI's pivot from failed AI lab to compute reseller, and why Grok is (unanimously) an embarrassing piece of shit. The conversation shifts to accredited investor laws, SPV dentists, and why every crypto platform failed to deliver SpaceX IPO allocations. From there, Coinbase's massive system update — tokenized stocks, an SEC-registered AI chatbot, combos, and 15-minute markets. Then things get spicy: Robert asks Claude about SBF on air, Sonnet gets it hilariously wrong, and everyone roasts him for not using Opus. The back half is all about Fable 5 — Amazon's jailbreak discovery, Andy Jassy calling Dario (who didn't pick up), and the export controls that shut down the most powerful commercial AI model ever released. Robert drops his most surprising take: "I am EAC, but this is a dry run of pressing the pause button." The episode closes with a heated debate on whether Chinese open source models will eat frontier AI pricing and a bet that may or may not have been agreed upon. Listen to the episode on Apple Podcasts, Spotify, Pods, Fountain, Podcast Addict, Pocket Casts, Amazon Music, or on your favorite podcast platform. Show highlights
Kevin Warsh held rates steady but surprised markets by signaling that rate hikes remain on the table, with nine of eighteen Fed officials now projecting at least one increase this year as inflation concerns persist. Matt also examines why Strategy's preferred stock falling below its target value could create challenges for the company's Bitcoin acquisition machine, and why a stronger U.S. dollar continues acting as a headwind for crypto markets.The episode also covers Hive's $220 million AI infrastructure deal, Cathie Wood buying Coinbase while selling Robinhood, new efforts by gambling and tribal groups to limit prediction markets, and the latest developments in the ongoing FTX political finance cases. Finally, Matt explains how buying a camper unexpectedly led to purchasing a 2017 Lexus GX460, shares his first-time camping plans, and reflects on the surprisingly successful run of his old Subaru.Happy Hodling, Everyone. Hosted on Acast. See acast.com/privacy for more information.
In this episode of Run the Numbers, CJ sits down with Jake Kornreich, CFO of CoLab and former CFO of Own, live from the New York Stock Exchange. Jake breaks down the six-part framework behind Own's $2.1B sale to Salesforce, why “control your destiny” matters, how CFOs should think about IPO readiness, board communication, share price theater, and why great finance leaders operate beyond the spreadsheet.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.com—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/jake-kornreich/Company: https://www.colabsoftware.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.comTIMESTAMPS:0:00 Preview and Intro2:20 First stock3:28 Benefits of going public today5:42 Come-up: chief of staff to CFO6:31 Running HR like a sales org8:32 Control your destiny9:24 Synergies with Salesforce10:09 Sponsors — Rillet | EY | SpendHound13:10 Do your own ROI due diligence14:40 Share price equals entertainment16:26 Disciplined execution17:45 Performance, not stories19:24 Activist investors and the acquirer's board20:13 Write the memo for the other side20:45 Sponsors — Brex | Aleph | RightRev24:02 Triangulate your way to success25:18 Your board takes snapshots, you run the movie26:21 Knowing when to sell27:16 Valuation limits your exit options27:38 Stakeholder comms during the acquisition29:58 CFO as operator, not just function31:31 What is CoLab?32:09 Why Jake joined post-Series C33:50 Personal product market fit for CFOs35:27 Lightning round35:42 Screwed up: $5M budget error36:17 Advice to younger self36:41 Finance software stack37:34 Culture of expense discipline38:22 Credits
CME Group filed a federal lawsuit in Washington, D.C. against the U.S. Commodity Futures Trading Commission (CFTC) and Chairman Michael Selig. The suit challenges the regulator's recent decision to approve perpetual futures for Kalshi and Coinbase, arguing that these 24/7 contracts are legally swaps rather than futures. GUEST: Chris Perkins, CEO of 250 Digital Asset Follow Chris on X ➜ https://x.com/perkinscr97 ~This episode is sponsored by iTrust Capital~ iTrustCapital | Get $100 Funding Reward + No Monthly Fees when you sign up using our custom link! ➜ https://bit.ly/iTrustPaul 00:00 intro 00:10 Sponsor: iTrust Capital 00:31 Chris Perkins on Perps 03:25 Terry Duffy Sues CFTC 04:35 CME Trying To Kill Crypto Perps 07:24 Terry Duffy Calls Michael Selig a Liar on CNBC 07:56 Banning Hyperliquid? 09:55 CME Monopoly Power 11:20 Chicago Crypto "Privilege Tax" 12:17 Federal Reserve Stablecoin ID Checks!? 16:19 $STRC Collapsing! 18:35 BlackRock Causing $STRC Mass Exit? 19:54 Coincidence? 20:15 CNBC Fudding Michael Saylor 21:08 Nothing To Worry About? 22:24 Michael Saylor: A.I. is Not a Problem 23:00 Quantum & A.I. will help crypto? 24:00 Lightning Round 24:26 July 4th Crash 24:40 Peter Schiff 24:52 CME vs Hyperliquid 25:11 Strategy to BlackRock? 25:34 Brian vs Dimon 26:10 Morpho & Vaults 27:12 SpaceX vs Solana & Hyperliquid 27:40 Binance vs Coinbase 28:55 Federal Reserve vs Uncertainty 30:36 outro #Bitcoin #XRP #Ethereum ~TradFi Sues CFTC!
Federal Judge Rules Sports Prediction Markets Outside CFTC OversightBinance, Coinbase, and Kraken Restrict USDT Use Across Europe for MiCA ComplianceCrypto Declines After Federal Reserve Holds Rates in Washington MeetingOman Mandates National Bitcoin Mining Pool Under New Crypto Regulations
Bitcoin noteert rond de 64.000 dollar, en staat deze week een paar procent in de plus, terwijl ook ethereum licht oploopt naar circa 1700 dollar. Na het rentebesluit van de Federal Reserve, waarbij de rente onveranderd blijft en voorzitter Kevin Warsh ruimte laat voor verdere verhogingen, levert bitcoin in één klap zo’n 3 procent in. MicroStrategy-topman Michael Saylor ligt onder een vergrootglas nu zijn strategie om met geleend geld massaal bitcoin te kopen onder druk komt te staan. Het preferente aandeel Stretch, dat Saylor met geleend geld uitgaf rond de 90 dollar, waardoor beleggers verlies lijden en Saylor minder ruimte heeft om nieuwe bitcoin aan te schaffen, terwijl de dividendverplichtingen doorlopen en in het uiterste geval met bestaande bitcoin-reserves moeten worden gedekt. Cryptobeurs Binance dreigt nog langer buiten de Europese markt te blijven nu de Griekse toezichthouder volgens persbureau Reuters op het punt staat een MiCA-vergunningsaanvraag af te wijzen, waarmee een terugkeer in de EU bemoeilijkt wordt. Zonder vergunning in één EU-lidstaat kan Binance zijn diensten niet opnieuw in heel Europa aanbieden. Deze week in de Cryptocast Een gesprek met Pim Swart, associate-partner bij Maven11, over Hyperliquid. Het afgelopen jaar timmerde het platform hard aan de weg, met de uitrol van de hip-3 en hip-4 updates weet de decentrale exchange steeds meer waarde naar zich toe te trekken. De HYPE-token is een van de weinige munten die groene cijfers wist te noteren de afgelopen maanden. We hebben het over de toekomst van het platform, mogelijke concurrentie van traditionele exchanges, maar ook nieuwkomers als Kalshi en Polymarket en praten je bij over de tokenomics van HYPE, co-host is Bert Slagter. Beslissing Fed gooit roet in het eten klim omhoog Saylor komt terug op zijn woorden en zegt dat jij je Bitcoin niet mag verkopen Preferent jaaraandeel Saylor in zwaar weer Binance dreigt vergunningstraject in Griekenland niet succesvol te doorlopen Coinbase gaat tokenized stocks aanbieden Hoe Hyperliquid met veertien man de grote cryptobeurzen voorbijstreeft | 434 B Met Daniël Mol (BNR Cryptocast) of Bart Mol (Satoshi Radio) bespreken we elke week de stand van de cryptomarkt. Luister live donderdagochtend rond 8:50 in De Ochtendspits, of wanneer je wilt via bnr.nl/podcast/cryptocastSee omnystudio.com/listener for privacy information.
As SpaceX stock soars, we talk IPOs for space and beyond. We also focus on the market's reaction to a new Iran ceasefire agreement, the implications of the highly anticipated SpaceX IPO, and what these developments may signal about broader market conditions. We look over how IPOs have historically performed, why many high-profile offerings struggle after their debut, and whether SpaceX's valuation reflects genuine business fundamentals or investor enthusiasm. We also examined the economic impact of falling oil prices, shifting inflation expectations, upcoming Federal Reserve policy decisions, consumer spending trends, and why correlations often drive market narratives. We discuss... The market's positive reaction to a renewed Iran ceasefire and the resulting drop in oil prices. Breakdown of the SpaceX IPO, its first-day performance, and why retail investors were eager to participate. How IPOs work and why many high-profile offerings historically decline after going public. Why company insiders often choose to take businesses public when valuations are most favorable. Past IPOs including Uber, Meta, Coinbase, Robinhood, and Rivian to illustrate common post-IPO price patterns. Whether SpaceX's valuation is justified by the strength of its Starlink business and launch operations. OpenAI, Anthropic IPO expectations and concerns about AI company valuations. How large IPOs can act as liquidity drains by attracting capital away from existing market leaders. Elon Musk becoming the world's first trillionaire and what that signifies for investor sentiment. How falling energy prices could help reduce inflation and improve economic conditions. Upcoming Federal Reserve leadership changes and expectations for future interest rate policy. Consumer spending trends and the role of Baby Boomer wealth in supporting economic activity. Why investors should focus on correlations rather than assuming direct causation in market movements. For more information, visit the full show notes at https://moneytreepodcast.com/ipos-for-space-625 Today's Panelists: Kirk Chisholm | Innovative Wealth Douglas Heagren | Mergent College Advisors Follow on Facebook: https://www.facebook.com/moneytreepodcast Follow LinkedIn: https://www.linkedin.com/showcase/money-tree-investing-podcast Follow on Twitter/X: https://x.com/MTIPodcast
Crypto News: BlackRock's new bitcoin income fund offers cash flow alongside BTC exposure. BlackRock's Chief Investment Officer Rick Rieder says 'I think Bitcoin is ultimately going considerably higher'. Ripple invests in Flutterwave, pushing its stablecoin and XRP Ledger into payments across Africa. Squid adds Ripple's RLUSD stablecoin for cross-chain swaps.Brought to you by
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Blue Alpine Cast - Kryptowährung, News und Analysen (Bitcoin, Ethereum und co)
Jetzt bei Kraken anmelden und 30 EUR Bonus erhalten: https://bit.ly/kraken-bonusThemen & Timestamps:00:00 Begrüssung und Themenüberblick01:22 WM-Wettenmarkt und Krypto-Plattformen Kalshi und Polymarket04:22 Binance droht Verlust der Mika-Lizenz in der EU06:06 Coinbase ermöglicht Aktientransfer für US-Kunden08:26 XRP-Wale ziehen Tokens von den Börsen ab09:30 Hyperliquid im Bullrun mit steigendem Open Interest10:44 USA plant CBDC-Verbot bis 2030
Crypto scams and how to protect yourself with Chainalysis' Eric Jardine. Eric Jardine, Head of Research at Chainalysis, joins Gen C to break down their latest crypto crime report and the staggering numbers of nearly $17 billion stolen in scams in 2025 alone. Eric explains how AI has changed the scam equation by allowing bad actors to hit massive scale without sacrificing quality, why the people executing scams in Southeast Asian compounds are often trafficking victims themselves, and why crypto's measurability is actually an argument in its favor and not against it. Links mentioned from the podcast: Chainalysis Website: https://www.chainalysis.com/ Crypto Crime Report: https://www.chainalysis.com/reports/crypto-crime-2026/ Timecodes: 0:00 Intro 0:40 Sam's intro: crypto crime by the numbers 1:44 Welcome Eric Jardine, Chainalysis 2:34 $17B+ stolen in crypto scams (2025) 2:55 Why are scams growing? Bull markets & victim pools 4:19 Impersonation scams up 1400% YoY 5:10 How impersonation scams work (IRS, Coinbase, deepfakes) 6:53 E-ZPass smishing — crypto settlement demands 8:24 Scam-as-a-service: $500 spoofed government websites 10:24 AI as a productivity boost for criminals 11:58 DPRK (Lazarus Group) vs. Southeast Asia scam compounds 13:57 Human trafficking & forced labor in scam operations 17:37 How to protect yourself 20:09 Jurisdictional challenges & enforcement gaps 21:45 Silk Road anniversary & crypto's illicit narrative 23:04 Is crypto actually worse than cash for crime? 25:13 Enforcement wins: 61K BTC recovered, $15B forfeiture 26:13 Closing Remarks - "Gen C" features host Sam Ewen. Executive produced by Uyen Truong.
SpaceX briefly surpasses Microsoft to become the world's fourth-most valuable company, and a new market for SpaceX options gives investors another way to bet on the stock. Then Coinbase CEO Brian Armstrong discusses the company's latest product announcement and the next phase of crypto innovation. Plus, former Israeli Ambassador to the U.S. Michael Oren weighs in on the evolving relationship between President Trump and Prime Minister Benjamin Netanyahu as tensions in the Middle East remain in focus. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Crypto natives are starting to warm up to SPCX trading, achieving the most active day of trading following the IPO on June 12. With SpaceX behaving like a meme stock is the top meme chain (Solana) about to skyrocket? 00:10 SPCX meme stock 01:20 The best is yet to come (The Fall) 01:40 Too Late Coinbase 02:00 Coinbase vs DeFi 02:45 Jupiter beat Coinbase 03:30 Hype dominance vs Solana 03:50 Spot volume king 04:00 Sunrise 04:40 Solana dominates SPCX and stock holders 05:00 Ranking vs other stocks after just 3 days 05:15 IPO Season 05:30 Nine Months of Red 06:00 RSI worse than FTX 06:20 Sticky New vs Returning users 06:50 Sticky A.I. Agents 07:15 Solana Disinflation & Burn Coming!? 08:10 CLARITY - don't buy until clarity passes #Solana #spacex #Crypto ~SpaceX Boosting $SOL!?
Tether's USDT has been delisted by major crypto exchanges (including Binance, Coinbase, Kraken, and Crypto.com) specifically for users in the European Economic Area. This occurred because Tether chose not to pursue registration under the EU's Markets in Crypto-Assets (MiCA) regulation. Meanwhile, WalletConnect is empowering the stablecoin ecosystem for millions of merchant around the world. ~This episode is sponsored by Tangem~ Tangem ➜ https://bit.ly/TangemPBN Use Code: "PBN" for Additional Discounts! GUEST: Jess Houlgrave - CEO WalletConnect Follow Wallet Connect on X ➜ https://x.com/WalletConnect 00:10 Sponsor Tangem 01:10 WalletConnect growth: Ingenico rollout progress 03:00 When Verifone or PAX? 05:00 Is Toast Toast? 07:30 Tether Delisted 09:45 Would WalletConnect take over non-compliant use cases of Tether? 11:00 Innovation in the EU 12:45 Saving USDT Utility? 14:15 Business model 17:00 Merchant fees 19:00 Tap-to-pay 21:20 Private transactions impossible? 23:30 CLARITY odds 25:40 WalletConnect fail? 26:15 User-friendy? 26:45 Transaction fees 27:00 Stablecoin threat 29:00 Credit card rewards 29:45 Stablecoin growth vs self-custody growth 30:40 $WCT utility 31:30 Agentic payments 32:30 Netflix login soon? #Crypto #XRP #Ethereum ~Tether Mass Delistings? + Stablecoin Catalysts Coming!
Eric Brown leads Developer Relations at BASE, Coinbase's L2. So when he says the chain sees over $4 trillion in monthly stablecoin payments and 25+ local stablecoins now circulate worldwide, it's worth interrogating closely.Jamie Crypto sits down with Eric at Consensus 2026 for a full read on what's actually shipping on BASE in 2026 — X402 as the default agent-payment rail, sub-cent fees and 5,000 TPS bursts, the Azul upgrade, the AI red team / blue team security flip, and why seven-plus local stablecoins are getting real point-of-sale adoption in South America while the U.S. lags.We cover:- The $4T monthly stablecoin payments figure (Eric's claim)- X402 and ~2M agent transactions in 30 days on BASE- 400M gas per block, sub-tenth-of-a-cent fees, 5,000 TPS bursts- DeFi security after a brutal month of hacks — AI's role on both sides- Why the agentic cohort is "completely unbanked already"- Morpho, 4% USDC yields, and what makes an onchain app stickyFilmed at Consensus 2026.Host: Jamie Redman
Crypto scams and how to protect yourself with Chainalysis' Eric Jardine. Eric Jardine, Head of Research at Chainalysis, joins Gen C to break down their latest crypto crime report and the staggering numbers of nearly $17 billion stolen in scams in 2025 alone. Eric explains how AI has changed the scam equation by allowing bad actors to hit massive scale without sacrificing quality, why the people executing scams in Southeast Asian compounds are often trafficking victims themselves, and why crypto's measurability is actually an argument in its favor and not against it. Links mentioned from the podcast: Chainalysis Website: https://www.chainalysis.com/ Crypto Crime Report: https://www.chainalysis.com/reports/crypto-crime-2026/ Timecodes: 0:00 Intro 0:40 Sam's intro: crypto crime by the numbers 1:44 Welcome Eric Jardine, Chainalysis 2:34 $17B+ stolen in crypto scams (2025) 2:55 Why are scams growing? Bull markets & victim pools 4:19 Impersonation scams up 1400% YoY 5:10 How impersonation scams work (IRS, Coinbase, deepfakes) 6:53 E-ZPass smishing — crypto settlement demands 8:24 Scam-as-a-service: $500 spoofed government websites 10:24 AI as a productivity boost for criminals 11:58 DPRK (Lazarus Group) vs. Southeast Asia scam compounds 13:57 Human trafficking & forced labor in scam operations 17:37 How to protect yourself 20:09 Jurisdictional challenges & enforcement gaps 21:45 Silk Road anniversary & crypto's illicit narrative 23:04 Is crypto actually worse than cash for crime? 25:13 Enforcement wins: 61K BTC recovered, $15B forfeiture 26:13 Closing Remarks - "Gen C" features host Sam Ewen. Executive produced by Uyen Truong.
In this episode of the Crypto Rundown, Tevo and Brian analyze recent market signals, macroeconomic factors, and technical data to assess whether the crypto market has bottomed out. They also discuss SpaceX's IPO, regulatory updates, and global events impacting crypto prices.Check Out Scribe: Scribe.how/CRYPTO101Check Out Webroot: https://www.webroot.com/crypto101Check out Quince: https://quince.com/CRYPTO101Check out Shopify: https://shopify.com/crypto101Check out Mars Men: https://mengotomars.comGet my #1 altcoin pick for this month.Get immediate access to my entire crypto portfolio for just $1.00 today! Get your FREE copy of "Crypto Revolution" and start making big profits from buying, selling,Get immediate access to my entire crypto portfolio.. just $1.00 today! Go here to get access: https://www.crypto101insider.com/cryptnation-directm6pypcy1?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=20250916Get your FREE copy of "Crypto Revolution: Your Guide To The Future of Money". In this book, I reveal how to make (and keep) a fortune during this crypto bull run! http://www.cryptorevolution.com/free?utm_source=Internal&utm_medium=YouTube&utm_content=Podcast&utm_term=20250916Chapters00:00 Is the Bottom In for Bitcoin?03:11 Market Dynamics and Oil Prices05:55 Technical Analysis and Market Sentiment08:50 Key Players and Their Strategies11:51 Insights from Industry Leaders14:58 Future Projections for Bitcoin and Ethereum17:58 Uniswap's Role in the Future of DeFi23:11 Tokenization and the Future of Stocks25:11 The Clarity Act: A Coin Toss for Progress29:50 Market Exhaustion: The Psychological Game of Investing30:04 SpaceX IPO: A New Era in Investment34:55 World Cup Fever: The Intersection of Sports and CryptoSubscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcast?sub_confirmation=1Follow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Mars Men: https://mengotomars.com* Check out NPR: https://npr.org* Check out Quince and use my code quince.com/crypto101 for a great deal: https://www.quince.com* Check out Scribe and use my code Scribe.how/CRYPTO101 for a great deal: https://scribe.com/Crypto101* Check out Shopify and use my code shopify.com/crypto101 for a great deal: https://www.shopify.com* Check out Webroot and use my code webroot.com/crypto101 for a great deal: https://www.webroot.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
On this episode of Public Keys from the New York Stock Exchange, host Jennifer Sanasie is joined by GSR's Joshua Riezman on SpaceX's $1.29 billion Bitcoin bet and the outlook for the CLARITY Act; Citi's Artem Korenyuk on the bank's new platform for tokenizing private company shares; and Coinbase's Lincoln Murr on AI agent trading and the future of autonomous finance. Plus, Ponzi Trader's highest-conviction trade of the week on 10X, presented by Kraken Pro. - This episode of Public Keys is brought to you by Kraken Pro. For more: https://pro.kraken.com/ - Learn more at https://www.bullish.com/. - Register now for CoinDesk's Policy and Regulation event on September 24, 2026: https://policy-regulation.coindesk.com/. - Timecodes: 00:00 Welcome to Public Keys 01:00 U.S.-Iran Deal Reopens Strait of Hormuz 01:28 SpaceX IPOs With $1.29B in Bitcoin 02:01 GSR's Joshua Riezman Joins Public Keys 03:23 Bitcoin's Corporate Treasury Era 04:47 AI vs. Crypto for Capital Flows 07:06 CLARITY Act: Now or Never 10:20 10X: Ponzi Trader's Top Trade is XPL 12:04 Citi's Artem Korenyuk Joins Public Keys 13:29 Digital Depository Receipts Explained 16:13 Citi's Broader Tokenization Strategy 18:12 Investor Rights and Private Share Ownership 20:20 BTC and ETH ETF Flows 21:18 Coinbase Launches for Agents, Lincoln Murr Joins 23:03 AI Agent Safety and Coinbase Advisor 26:02 The Agentic Financial Future and x402 28:19 Fear & Greed Index Climbs to 20 - This episode was hosted by Jennifer Sanasie.
Vance finally lands the guest he's been chasing for two years — Chris LAS, host of This Week in Bitcoin, the only podcast Vance listens to every single week. They open on an unexpected topic: Chris's fully automated chicken coop, complete with motion sensors, ammonia monitors, automated doors, egg trapdoors, and local cameras running on Frigate DVR — no cloud, no subscriptions, no Google watching your backyard. From there the conversation widens into surveillance, Flock cameras showing up in neighborhoods without public votes, and why the data being collected today may be the most dangerous in 2035 when AI is powerful enough to mine it retroactively.The heart of the episode is Bitcoin — Chris's origin story through the 2008 financial crisis, losing what would now be generational wealth in the Mt. Gox hack, and why he stayed convicted anyway. He breaks down why Bitcoin is a money protocol the same way HTTP is a web protocol, explains the Lightning Network in plain language, and makes the case that the generational divide between boomers and millennials is really an asset-ownership divide: inflation has been great if you owned a house, catastrophic if you didn't. He also walks through his value-for-value podcast model — no advertisers, audience as the customer, splits paid automatically over Lightning — and why transparency about how much each episode earns keeps him honest and keeps the show free from capture.The episode closes on the Clarity Act, Jamie Dimon's very loud objections to Coinbase, AI IPO mania as the biggest financial gamble of the decade, and what question to actually ask a Bitcoiner instead of "what's the price going to be?"Articulate.Ventures/IBCLegacyInterviews.com
In this episode of Run the Numbers, CJ sits down with Dan Bettes, CFO of SoundCloud, at the New York Stock Exchange. Dan breaks down how SoundCloud operates as a two-sided music marketplace, how he thinks about liquidity between fans and creators, and why great finance leaders need to make forecasting feel owned by the business—SPONSORS:Aleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/runRightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metrics—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/danielbettes/Company: https://soundcloud.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Preview and Intro2:17 First stock: a Vanguard index fund3:13 Most memorable IPO: Groupon4:54 Benefits of going public have changed5:47 SoundCloud and the music industry7:21 Three eras: physical, streaming, creator platform8:49 Streaming unbundled the album10:03 Artists don't need labels anymore11:40 Sponsors — Aleph | RightRev | Rillet15:00 SoundCloud's two-sided business model16:23 Touring replaced the album17:17 First metric every morning: net adds18:31 DAU vs. MAU: it's a funnel19:14 Viral moments and exogenous pops20:10 LTV and the subscription funnel21:38 Sponsors — EY | SpendHound | Brex24:35 Tops-down vs. bottoms-up: reconcile both26:21 Revenue is an output27:45 Handling forecast deviation29:24 How often to reforecast30:23 The final boss: indirect cash flow statement33:09 Cash vs. EBITDA fluency35:04 Plain English and the power of reps36:52 Tailor the message to the audience37:45 Lightning round37:45 Screwed up: miscounted corn at a banquet38:41 Lean into discomfort39:55 Craziest expense: a post-flight massage40:17 Credits
Artificial intelligence agents are beginning to make their presence felt in online payments. At present, they typically discover options for purchase and present users with buy options. However, many are already looking towards a future where AI agents have wallets and the ability to pay for small items with stablecoins. This could also create the opportunity for machine-to-machine micropayments. Chad Harper, head of the Coinbase Institute, joins Lewis McLellan, head of content at OMFIF's Digital Monetary Institute, to discuss the rails that will facilitate agentic payments, particularly x402, Coinbase's payments protocol.
You bought Bitcoin early. You held through the crashes, the media panic, and you never sold. So why is your daily life exactly the same? Today's guest says there's a third option most crypto holders don't even know exists — and it doesn't involve selling a single coin. Brandon Diggs from Overseas DeFi joins the show to reveal what productive crypto actually looks like, and how you can turn your idle holdings into a monthly cash flow machine using Decentralised Finance. Timestamp Topic 00:00 Introduction — the third option most crypto holders don't know exists 01:15 Brandon's background and the mission of Overseas DeFi 03:30 The HODL mindset: Bitcoin from $0.01 to $69,000 and the 6.9 million X return 06:00 Getting paid to wait — treating crypto like a rental property 08:00 Navigating negative market sentiment and the "hot ball of money" 11:00 The two core narratives: currency debasement and blockchain migration 14:30 Why Bitcoin is harder money than gold (inflation rate comparison) 17:30 The $100 trillion store of value market and Bitcoin's position in it 20:00 Why the entire global financial system is migrating to blockchain rails 23:00 Ethereum vs. Bitcoin: smart contracts, tokenisation, and Layer 1 blockchains 26:30 Asset tokenisation is up 400% — and most of it is going to Ethereum 29:00 The level playing field: DeFi is equally accessible with $500 or $500,000 31:00 Step 1 — Taking self-custody of your assets 33:30 Brandon's Mt. Gox story: bought Bitcoin at $77 in 2013, lost 84% in the hack 37:00 Why leaving coins on Coinbase or Binance is still a risk 39:30 Step 2 — Buying and allocating assets (Bitcoin and ETH) 41:30 Step 3 — Collateralised lending: unlocking cheap borrowed capital 44:00 The DeFi carry trade: borrowing at 1–5% and earning 40–300% APR 47:00 Delta-neutral hedging: how to earn fees with zero price risk 50:00 A $5,000 portfolio example: borrowing $2,500 and earning 7% per month 52:30 Why DeFi beats day trading: consistency, lower stress, and less time 55:00 Narrow vs. wide liquidity ranges: yield vs. time commitment trade-off 57:30 How Brandon manages family accounts earning 40–60% APR in 30 mins/day 59:30 The Overseas DeFi app: AI agent, portfolio tracker, and TradingView integration 62:00 Security and scam prevention — "with great power comes great responsibility" 63:30 Capital gains strategy: borrow against your coins instead of selling them 65:00 How to off-ramp USDC as monthly cash flow while stacking ETH fees 66:15 Where to start: the free "Copy This Portfolio" YouTube series 67:00 Outro Contact & Resources Listen to this episode on Podbean: thecryptopodcast.podbean.com Explore more podcasts: Find all podcasts at the PodFather Network Website: RoyCoughlan.com Need help running your business? If you are looking for a Virtual Assistant and get reliable support for your daily operations. Virtual Assistants: VA.world Communities: BrainGym.fitness Learn about a Private Networking Group in 50 US States & 39 Countries with 640+ Members: connectedleaders.academy Connect with Brandon Diggs: •Website: OverseasDeFi.com •YouTube: @OverseasDeFi #CryptoPodcast #DeFi #Bitcoin #Ethereum #PassiveIncome #CryptoInvesting #DecentralisedFinance #ConcentratedLiquidity #OverseasDeFi #BrandonDiggs #YieldFarming #CryptoEducation #RoyCoughlan #PodFatherNetwork #VAWorld #BrainGymFitness
Nick Valdez looks at the impact on Bitcoin's price from the SpaceX IPO. What happened when we saw this in the past? Robinhood, Coinbase, and Circle were all large IPO's from the past 5 years. Is there a pattern to follow?
In this episode we discuss SpaceX's IPO and its potential effects on equity and crypto markets, including Bitcoin performance, ETF flows, valuation metrics, and mining trends. We also cover Ethena's evolving yield strategy, reserve diversification, institutional lending, token value accrual, and the implications of its partnership with Coinbase. Thanks for tuning in! As always, remember this podcast is for informational purposes only, and any views expressed by anyone on the show are solely their opinions, not financial advice. -- Follow Blockworks Research: https://x.com/blockworksres Follow Kunal: https://x.com/Kunallegendd Follow Carlos: https://x.com/0xcarlosg Follow Danny: https://x.com/defi_kay_ Follow Luke: https://x.com/0xMether -- Subscribe on YouTube: https://bit.ly/3foDS38 Subscribe on Apple: https://apple.co/3SNhUEt Subscribe on Spotify: https://spoti.fi/3NlP1hA Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (4:12) SpaceX IPO Markets (9:09) Bitcoin Decouples From Equities (15:36) Bitcoin Bottom Signals (24:18) Miners Shift to AI (25:59) Ethena's New Strategy (31:50) Ethena Becomes an Asset Manager (35:24) Scalable Yield Sources (41:06) ENA Token Value (47:25) Coinbase Distribution Bull Case (51:33) Closing Comments -- Check out Blockworks Research today! Research, data, governance, tokenomics, and models – now, all in one place Blockworks Research: https://www.blockworksresearch.com/ Free Daily Newsletter: https://blockworks.co/newsletter -- Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Luke, Danny, and our guests may hold positions in the companies, funds, or projects discussed.
This episode is a dense Moonshots roundtable on Bitcoin, agentic payments, government stakes in AI companies, the OpenAI IPO, SpaceX's compute expansion, Apple's Siri reboot, and longevity biotech. Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Brian Armstrong is the Co-founder and CEO of Coinbase. Salim Ismail is the founder of Open ExO, a GP at Exponential Venture Capital/The Organizational Singularity Fund and a sought after global speaker and thought leader. Apply for Salim's Pilot Program: https://openexo.com/organizational-singularity-pilot?video=I9c8STV7Hnw Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy Your body is incredibly good at hiding disease. Schedule a call with Fountain Life to add healthy decades to your life, and to learn more about their Memberships: https://www.fountainlife.com/peter _ Connect with Brian X Website Instagram Linkedin Connect with Peter: X Instagram Substack Website Xprize A360 Connect with Dave: Web X LinkedIn Instagram TikTok Connect with Salim: LinkedIn X Apply for Salim's Pilot Program Subscribe to Salim's YouTube channel Exponential Venture Capital Connect with Alex Website LinkedIn X Email Substack Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on June 9th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices
Crypto News: Jim Cramer continues being bearish on Bitcoin. BlackRock and Fidelity are quietly turning bitcoin ETFs into a two-firm market. Mastercard has launched a payment system designed for AI agents to transact autonomously, with Coinbase, Ripple ,Solana and polygon among 30+ partners already signed on.Brought to you by
FAÇA SUA PRÉ-MATRÍCULA PARA O LEGADO (16 produtos pelo preço de 1)Abra sua conta na Coinbase, uma das exchanges de cripto mais seguras do mundo, e ganhe R$50 em BTC na sua primeira compra de R$1.000Descomplique seu IR com a MyprofitVocê conhece os ETFs e fundos do Grupo Primo?Nos últimos anos, começamos um processo de transformação na forma como o investidor brasileiro investe — indo de fundos de previdência a estratégias mais modernas de alocação, incluindo o nosso ETF de renda fixa, o GPCA11.Nosso ecossistema de ativos vem se desenvolvendo com o objetivo de oferecer melhores opções para o investidor brasileiro, combinando eficiência, diversificação, custos competitivos e maior inteligência na construção de carteira.Em um cenário de inflação e juros ainda relevantes, entender como proteger e construir patrimônio ao longo do tempo se torna essencial — e é nesse contexto que soluções mais eficientes, como ETFs de renda fixa de baixo custo, ganham cada vez mais importância.Mas afinal: como esses produtos funcionam na prática?Qual é o mais indicado para cada perfil de investidor?E como eles se organizam dentro de uma estratégia de investimento mais ampla?Apesar de serem instrumentos cada vez mais presentes no mercado, ainda existe muita dúvida sobre estrutura, funcionamento e custos desses produtos — e entender isso pode mudar completamente a forma de investir.Para responder essas e outras perguntas, recebemos Guilherme Cadonhotto, Head de Alocação da Grão.Ele será transmitido nesta quinta-feira, dia 11/06, ao meio-dia, no canal Os Sócios Podcast.Hosts: Bruno Perini @bruno_perini e Malu Perini @maluperiniConvidado: Guilherme Cadonhotto @gui.cadonhotto
In this episode of Run the Numbers, CJ breaks down Bending Spoons' F-1 filing and the acquisition machine behind AOL, Evernote, Vimeo, Eventbrite, and more. He unpacks the company's playbook: buy under-optimized digital businesses, transform operations, raise prices, reinvest earnings, and repeat — while asking the core question: how much was built, and how much was bought?—SPONSORS:RightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY has been part of Silicon Valley since it was just a valley, helping the most successful names in tech go from startup to exit to megacap. With teams across strategy, tax, audit, and transactions, EY helps you get your financials right early, long before your investors start asking for it. You build the next big thing, and EY will help you build it right. Learn more at https://www.ey.com/techstartupsSpendHound cuts your SaaS and AI spend by up to 30% using real pricing benchmarks across 10,000 vendors, so you always know what fair pricing looks like before your next renewal. Rated #1 on G2 in SaaS spend management, it's free forever for teams up to 1,000 employees. Sign up by June 12th and get $500 just for getting started. Go to https://www.spendhound.com/cjBrex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAleph is a modern FP&A platform built for teams that want more than another planning tool. By connecting your ERP, CRM, and other systems into one trusted data layer with AI workflows, Aleph helps you move faster with real-time insights. Get a personalized demo at https://www.getaleph.com/run—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 What is Bending Spoons?1:03 The Internet's attic: the portfolio3:11 The metrics rundown5:44 Revenue: $1.3B, 95% growth6:04 82% of growth was bought, not built6:29 Gross margin: 66%6:50 Subscription mix and NRR7:33 Net income: basically zero8:00 Cash: $741M, debt: $4.4B8:35 Revenue per employee: $2.57M9:39 Sponsors — RightRev | Rillet | EY12:42 Organic growth is mostly price hikes13:50 A house of adjustments14:54 Add-backs bigger than the profit15:22 The reorganization line: cost of firing19:21 Sponsors — SpendHound | Brex | Aleph22:51 Does the playbook actually work?23:07 Evernote: the proof point23:45 Romini: the growth proof point24:10 AI in three directions at once25:45 The debt engine27:50 Red flag 1: material accounting weaknesses28:38 Red flag 2: pro forma numbers come with a confession29:00 Red flag 3: App Store dependency29:11 Red flag 4: no long-term contracts29:30 Red flag 5: foreign private issuer29:52 Red flag 6: they've never sold anything30:19 Cap table and board31:07 Valuation: 14–18x33:00 Bull vs. bear case33:55 Miscellaneous: the S1 is already stale35:25 Credits
Rishi Chhatwal, Partner at EDRM Trusted Partner Redgrave LLP, sits down with EDRM's Mary Mack and Holley Robinson. In this episode, Rishi talks about his journey to eDiscovery through two major corporate accountabilities coupled with high-level consulting prior to joining the team at Redgrave. Rishi talked about scaling eDiscovery, not only at a traditional technology company like AT&T, but also at Coinbase, a newer company positioned at the intersection of finance, bitcoin, and regulation. We ended with Rishi's surprising fun fact and an invitation to contact him.
EPISODE DESCRIPTION I sat down with Firas Isa, the founder of Crypto Dispenser, a bootstrapped and profitable company that has been quietly building Bitcoin on-ramp infrastructure since 2017. Firas started with a single Bitcoin ATM, partnered with GreenDot Bank to place cash deposit points across 100,000 retail stores like CVS and Walmart, and has grown to over 100,000 registered users , all without taking a penny of outside investment. In this conversation, we dig into why cash is still the purest way to buy Bitcoin, the brutal reality of getting bank accounts shut down repeatedly, and why Firas believes Bitcoin is the world's most peaceful revolution against currency debasement. If you have ever wondered how to buy Bitcoin without going through a big exchange, or you are a founder trying to understand what it actually takes to survive a decade in the crypto space on a bootstrap budget, this episode is for you. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT Crypto Dispenser Website:https://www.cryptodispensers.com/Crypto Dispenser Twitter/X: https://x.com/cryptodispenserFiras Isa LinkedIn: https://www.linkedin.com/in/firas-isa/Web3 with Sam Kamani Podcast: https://www.web3pod.xyz KEY POINTS WITH TIMESTAMPS • [00:01] Sam introduces Firas Isa and Crypto Dispenser , a bootstrapped, profitable Bitcoin on-ramp with 100K+ users• [01:43] Firas explains how Crypto Dispenser started in 2017 with one Bitcoin ATM and has since pivoted to an online platform supporting debit, credit, ACH, wire, and PayPal• [02:32] Firas shares his origin story , studying political science at Loyola University and learning about money printing, the petrodollar, and empire collapse• [05:30] Discussion on the US gold standard, the Federal Reserve, and Voltaire's warning that fiat currency eventually goes to zero• [10:19] How Bitcoin Pop (Bitcoin Point of Payment) works , generating a barcode inside the Crypto Dispenser account and loading cash at CVS, Walmart, or Walgreens• [12:19] Why Crypto Dispenser is non-custodial and why that matters , users own their Bitcoin the same day they buy it• [13:43] Why cash remains the only true way to buy Bitcoin without relying on the traditional banking system• [20:34] The brutal reality of maintaining bank accounts as a crypto startup , banks shutting them down every six to eight months• [23:23] The rise of neo-banks like OneSafe (backed by Coinbase) and how they have helped but still face the same de-risking pattern• [26:13] How Crypto Dispenser differentiates through hands-on customer support against giants like Coinbase and Strike• [30:56] Trends Firas is watching , prediction markets like Polymarket and Kalshi, and what they say about younger generations seeking financial freedom• [37:46] Firas's vision for the next two to three years , scaling the business, potentially bringing on VC capital, and continuing to grow organically• [39:15] North Star metrics , 100K registered users, approximately 2,000 monthly paying users• [41:45] Firas's ask , give Bitcoin a chance, and reach out if you are a developer or investor who wants to help scale
Subscribe to Greg Fitzsimmons: https://bit.ly/subGregFitz Greg and Mike break down Knicks fever in New York, Trump possibly showing up at MSG, Charles Oakley rumors, Leslie Stahl and the turmoil at 60 Minutes, Clint Eastwood's retirement, Taylor Swift's latest breakup-song allegations, a Florida man suing after an alligator bit his face, and a Coinbase glitch that briefly made one man worth $197 billion. Plus, ethical questions, “This Day in History,” funnies, and plenty of Fitz Facts. This show is produced by Gotham Production Studios and part of the Gotham Network. https://www.gothamproductionstudios.com/studios/ Follow Greg Fitzsimmons: Facebook: https://facebook.com/FitzdogRadio Instagram: https://instagram.com/gregfitzsimmons Twitter: https://twitter.com/gregfitzshow Official Website: http://gregfitzsimmons.com Tour Dates: https://bit.ly/GregFitzTour Merch: https://bit.ly/GregFitzMerch “Dear Mrs. Fitzsimmons” Book: https://amzn.to/2Z2bB82 “Life on Stage” Comedy Special: https://bit.ly/GregFitzSpecial Listen to Greg Fitzsimmons: Fitzdog Radio: https://bit.ly/FitzdogRadio Sunday Papers: http://bit.ly/SundayPapersPod Childish: http://childishpod.com Watch more Greg Fitzsimmons: Latest Uploads: https://bit.ly/latestGregFitz Fitzdog Radio: https://bit.ly/radioGregFitz Sunday Papers: https://bit.ly/sundayGregFitz Stand Up Comedy: https://bit.ly/comedyGregFitz Popular Videos: https://bit.ly/popGregFitz About Greg Fitzsimmons: Mixing an incisive wit with scathing sarcasm, Greg Fitzsimmons is an accomplished stand-up, an Emmy Award winning writer, and a host on TV, radio and his own podcasts. Greg is host of the popular “FitzDog Radio” podcast (https://bit.ly/FitzdogRadio), as well as “Sunday Papers” with co-host Mike Gibbons (http://bit.ly/SundayPapersPod) and “Childish” with co-host Alison Rosen (http://childishpod.com). A regular with Conan O'Brien and Jimmy Kimmel, Greg also frequents “The Joe Rogan Experience,” “Lights Out with David Spade,” and has made more than 50 visits to “The Howard Stern Show.” Howard gave Greg his own show on Sirius/XM which lasted more than 10 years. Greg's one-hour standup special, “Life On Stage,” was named a Top 10 Comedy Release by LA Weekly. The special premiered on Comedy Central and is now available on Amazon Prime, as a DVD, or a download (https://bit.ly/GregFitzSpecial). Greg's 2011 book, Dear Mrs. Fitzsimmons (https://amzn.to/2Z2bB82), climbed the best-seller charts and garnered outstanding reviews from NPR and Vanity Fair. Greg appeared in the Netflix series “Santa Clarita Diet,” the Emmy-winning FX series “Louie,” spent five years as a panelist on VH1's “Best Week Ever,” was a reoccurring panelist on “Chelsea Lately,” and starred in two half-hour stand-up specials on Comedy Central. Greg wrote and appeared on the Judd Apatow HBO series “Crashing.” Writing credits include HBO's “Lucky Louie,” “Cedric the Entertainer Presents,” “Politically Incorrect with Bill Maher,” “The Man Show” and many others. On his mantle beside the four Daytime Emmys he won as a writer and producer on “The Ellen DeGeneres Show” sit “The Jury Award for Best Comedian” from The HBO Comedy Arts Festival and a Cable Ace Award for hosting the MTV game show "Idiot Savants." Learn more about your ad choices. Visit megaphone.fm/adchoices
Dan Tapiero has deployed over half a billion dollars into crypto's biggest private companies - Kraken, Ledger, Animoca, and the Deribit deal that became the largest M&A transaction in crypto history. In this conversation, he explains why we're at the integration moment between traditional finance and the onchain world, why his team is now exclusively looking at AI-adjacent deals, and why he believes thousands of trillions of dollars in agent-powered transactions are coming within the decade. We also get into why Coinbase could become the Amazon of finance, how prediction markets are creating truth machines, and why the digitization of money is bigger than the internet itself. Learn more about your ad choices. Visit megaphone.fm/adchoices
A major milestone just happened at the intersection of crypto and housing finance. Better and Coinbase have funded what they say is the first Fannie Mae-backed mortgage that allows borrowers to use Bitcoin as collateral instead of selling it for a down payment. In this episode, Kathy Fettke breaks down how crypto-backed mortgages work, why lenders are exploring new ways to evaluate wealth, and what this could mean for homebuyers, real estate investors, and the future of mortgage lending. Want to learn more about investing? Visit www.Newsforinvestors.com Source: https://www.fidelity.com/news/article/technology/202606040830BIZWIRE_USPR_____20260604_BW894636
Today's blockchain and crypto news Bitcoin is up slightly at $62,464 Ethereum is down slightly at $1,748 BNB is down 1% at $594 Coinbase has launched pre-IPO perpetual futures Arthur Hayes faces criticism after he said he sold his entire positions in HYPE and NEAR. Cynthia Lummis criticized Jamie Dimon for his recent attacks on Brian Armstrong EdgeX says it will reimburse users Learn more about your ad choices. Visit megaphone.fm/adchoices
Strategy sold BTC. Can its preferred dividend stack survive without Bitcoin growing at least 11.5% year? Plus, they cover Jamie Dimon calling Brian Armstrong “full of shit.” --- Heads up! If you haven't yet, be sure to subscribe to Bits + Bips, since the show will migrate there in a few weeks. Follow us on Apple Podcasts, YouTube, Spotify, X, Unchained and wherever you get your podcasts. ---- Strategy sold Bitcoin for the first time since 2022 — 32 BTC to cover preferred stock dividends. Ram, Austin, and Chris discuss whether that small sale signals a deeper structural tension between equity holders, preferred holders, and Bitcoin itself. They also covered the news that Anthropic filed for an IPO at a valuation approaching $1 trillion. The hosts lay out the bull and bear cases and ask whether retail investors can realistically get a 10x out of a company already priced like a finished product. Unpacking a spicier moment, they also discussed the moment when JPMorgan's Jamie Dimon called Coinbase's Brian Armstrong “full of shit” on live TV over the Clarity Act. Ram says crypto's window of peak political power is closing fast, while Austin gives crypto lobbyists a great idea for how to turn the banks' stablecoin yield crusade against them. Hosts: Austin Campbell — Founder, Zero Knowledge Consulting; Adjunct Professor, NYU Stern Ram Ahluwalia, Co-Host, CEO of Lumida Chris Perkins, Co-Host, CEO of 250 Digital Asset Management Learn more about your ad choices. Visit megaphone.fm/adchoices