Podcasts about Software

Python in 2025 is in a delightfully refreshing place: the GIL's days are numbered, packaging is getting sharper tools, and the type checkers are multiplying like gremlins snacking after midnight. On this episode, we have an amazing panel to give us a range of perspectives on what matter in 2025 in Python. We have Barry Warsaw, Brett Cannon, Gregory Kapfhammer, Jodie Burchell, Reuven Lerner, and Thomas Wouters on to give us their thoughts. Episode sponsors Seer: AI Debugging, Code TALKPYTHON Talk Python Courses Links from the show Python Software Foundation (PSF): www.python.org PEP 810: Explicit lazy imports: peps.python.org PEP 779: Free-threaded Python is officially supported: peps.python.org PEP 723: Inline script metadata: peps.python.org PyCharm: www.jetbrains.com JetBrains: www.jetbrains.com Visual Studio Code: code.visualstudio.com pandas: pandas.pydata.org PydanticAI: ai.pydantic.dev OpenAI API docs: platform.openai.com uv: docs.astral.sh Hatch: github.com PDM: pdm-project.org Poetry: python-poetry.org Project Jupyter: jupyter.org JupyterLite: jupyterlite.readthedocs.io PEP 690: Lazy Imports: peps.python.org PyTorch: pytorch.org Python concurrent.futures: docs.python.org Python Package Index (PyPI): pypi.org EuroPython: tickets.europython.eu TensorFlow: www.tensorflow.org Keras: keras.io PyCon US: us.pycon.org NumFOCUS: numfocus.org Python discussion forum (discuss.python.org): discuss.python.org Language Server Protocol: microsoft.github.io mypy: mypy-lang.org Pyright: github.com Pylance: marketplace.visualstudio.com Pyrefly: github.com ty: github.com Zuban: docs.zubanls.com Jedi: jedi.readthedocs.io GitHub: github.com PyOhio: www.pyohio.org Watch this episode on YouTube: youtube.com Episode #532 deep-dive: talkpython.fm/532 Episode transcripts: talkpython.fm Theme Song: Developer Rap

Sara Eisen, and David Faber began the hour with a look at the precious metals rally - and why it's tied to the debasement trade - before discussing the broader market outlook with Trivariate's Adam Parker. Plus: is it time to go from hardware to software? Hear one veteran tech investor's take on why 2026 will see "mindblowing" advancements in the latter sector - and what it means for stocks... and former DOJ antitrust watchdog Jonathan Kanter's opinion on whether Nvidia's GROQ deal is a new way for companies to avoid scrutiny from regulators. Also in focus: a high stakes meeting today between the President and Israeli Prime Minister Benjamin Netanyahu - the team discussed the latest and what's at stake with former Council on Foreign Relations head Richard Haass.  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.

This is a recap of the top 10 posts on Hacker News on December 28, 2025. This podcast was generated by wondercraft.ai (00:30): CalendarOriginal post: https://news.ycombinator.com/item?id=46408613&utm_source=wondercraft_ai(01:46): What an unprocessed photo looks likeOriginal post: https://news.ycombinator.com/item?id=46415225&utm_source=wondercraft_ai(03:03): Growing up in “404 Not Found”: China's nuclear city in the Gobi DesertOriginal post: https://news.ycombinator.com/item?id=46408988&utm_source=wondercraft_ai(04:20): Replacing JavaScript with Just HTMLOriginal post: https://news.ycombinator.com/item?id=46407337&utm_source=wondercraft_ai(05:37): Last Year on My Mac: Look Back in DisbeliefOriginal post: https://news.ycombinator.com/item?id=46409969&utm_source=wondercraft_ai(06:54): Fathers' choices may be packaged and passed down in sperm RNAOriginal post: https://news.ycombinator.com/item?id=46407502&utm_source=wondercraft_ai(08:10): Building a macOS app to know when my Mac is thermal throttlingOriginal post: https://news.ycombinator.com/item?id=46410402&utm_source=wondercraft_ai(09:27): Stepping down as Mockito maintainer after ten yearsOriginal post: https://news.ycombinator.com/item?id=46414078&utm_source=wondercraft_ai(10:44): Learn computer graphics from scratch and for freeOriginal post: https://news.ycombinator.com/item?id=46410210&utm_source=wondercraft_ai(12:01): CEOs are hugely expensive. Why not automate them? (2021)Original post: https://news.ycombinator.com/item?id=46415488&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Wusstest du, dass es eine internationale Community gibt, die sich intensiv mit der KI-gestützten Transkription von Musik beschäftigt?

Formulare zwingen Menschen, wie Software zu funktionieren. Aber was passiert, wenn Software einen intelligenten Dialog initiiert, der exakt auf das Gegenüber eingeht – und so alle erforderlichen Informationen gewinnt? In dieser Folge des #KIundTECH Podcasts spricht Holger Winkler mit Pierre-Andre Reiners, Gründer und Geschäftsführer von neuraBlu AI, über AI-UX und die Grenzen klassischer Formulare. Im Fokus steht die Frage, warum starre Eingabemasken in vielen Anwendungsfällen scheitern – und wie dialogbasierte Sprach- und Texteingaben Nutzer führen, Inhalte verdichten und die Datenqualität bereits bei der Eingabe verbessern. Anhand des Briefing-Formulars des KIundTECH Podcasts wird praxisnah gezeigt, wie AI-UX Prozesse vereinfacht, Mehrsprachigkeit ermöglicht und Nacharbeit im Backend reduziert. Themen der Folge: - Warum Formulare für viele Anwendungsfälle ausgedient haben - Wie AI-UX Nutzer aktiv durch Prozesse führt - Effizienzgewinne durch dialogbasierte Datenerfassung - Datenqualität als Ergebnis guter UX - Wirtschaftliche Kriterien für den Einsatz von KI Mehr Infos zu Pierre-Andre Reiners: ► Website: https://www.neurablu.ai Mehr KI-Wissen – exklusiv, aber gratis wartet auf Dich! Wir befähigen Entscheider in inhabergeführten Unternehmen im DACH-Raum, KI klar zu verstehen und gezielt dort einzusetzen, wo sie nachhaltigen geschäftlichen Nutzen schafft. Der #KIundTECH Podcast vermittelt wöchentlich verständliche Einblicke in reale Unternehmens-Cases und liefert relevante KI-Updates für die Praxis. Jede Folge erscheint mit weiterführenden Informationen als wöchentlicher Newsletter. Mehr Infos: https://kiundtech.com/newsletter

Las 5 cosas QUE más ESPERO en 2026 en software y contenido, hablamos de todo ello en este episodio. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Welcome back to the Ultimate Guide to Partnering® Podcast. AI agents are your next customers. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX:https://theultimatepartner.com/experience/ https://youtu.be/vEdq8rpBM3I In this data-rich keynote, Jay McBain deconstructs the tectonic shifts reshaping the $5.3 trillion global technology industry, arguing that we are entering a new 20-year cycle where traditional direct sales models are obsolete. McBain explains why 96% of the industry is now surrounded by partners and how successful companies must pivot from “flywheels and theory” to a granular strategy focused on the seven specific partners present in every deal. From the explosion of agentic AI and the $163 billion marketplace revolution to the specific mechanics of multiplier economics, this discussion provides a roadmap for navigating the “decade of the ecosystem” where influence, trust, and integration—not just product—determine winners and losers. Key Takeaways Half of today's Fortune 500 companies will likely vanish in the next 20 years due to the shift toward AI and ecosystem-led models. Every B2B deal now involves an average of seven trusted partners who influence the decision before a vendor even knows a deal exists. Microsoft has outpaced AWS growth for 26 consecutive quarters largely because of a superior partner-led geographic strategy. Marketplaces are projected to grow to $163 billion by 2030, with nearly 60% of deals involving partner funding or private offers. The “Multiplier Effect” is the new ROI, where partners can make up to $8.45 for every dollar of vendor product sold. Future dominance relies on five key pillars: Platform, Service Partnerships, Channel Partnerships, Alliances, and Go-to-Market orchestration. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Keywords: Jay McBain, Canalys, partner ecosystem, channel chief, agentic AI, marketplace growth, multiplier economics, B2B sales trends, tech industry forecast, service partnerships, strategic alliances, Microsoft vs AWS, distribution transformation, managed services growth, SaaS platforms, customer journey mapping, 28 moments of truth, future of reselling, technology spending 2025, ecosystem orchestration, partner multipliers. T Transcript: Jay McBain WORKFILE FOR TRANSCRIPT [00:00:00] Vince Menzione: Just up from, did you Puerto Rico last night? Puerto Rico, yes. Puerto Rico. He dodged the hurricane. Um, you all know him. Uh, let him introduce himself for those of you who don’t, but just thrilled to have on the stage, again, somebody who knows more about what’s going on in, in the, and has the pulse on this industry probably than just about anybody I know personally. [00:00:21] Vince Menzione: J Jay McBain. Jay, great to see you my friend. Alright, thank you. We have to come all the way. We live, we live uh, about 20 minutes from each other. We have to come all the way to Reston, Virginia to see each other, right? That’s right. Very good. Well, uh, that’s all over to you, sir. Thank you. [00:00:35] Jay McBain: Alright, well thank you so much. [00:00:36] Jay McBain: I went from 85 degrees yesterday to 45 today, but I was able to dodge that, uh, that hurricane, uh, that we kind of had to fly through the northern edge of, uh, wanna talk today about our industry, about the ultimate partner. I’m gonna try to frame up the ultimate partner as I walk through the data and the latest research that, uh, that we’ve been doing in the market. [00:00:56] Jay McBain: But I wanted to start here ’cause our industry moves in 20 year cycles, and if you look at the Fortune 500 and dial back 20 years from today, 52% of them no longer exist. As we step into the next 20 year AI era, half of the companies that we know and love today are not gonna exist. So we look at this, and by the way, if you’re not in the Fortune 500 and you don’t have deep pockets to buy your way outta problems, 71% of tech companies fail over the course of 10 years. [00:01:30] Jay McBain: Those are statistics from the US government. So I start to look at our industry and you know, you may look at the, you know, mainframe era from the sixties and seventies, mini computers, August the 12th, 1981, that first IBM, PC with Microsoft dos, version one, you know, triggered. A new 20 year era of client server. [00:01:51] Jay McBain: It was the time and I worked at IBM for 17 years, but there was a time where Bill Gates flew into Boca Raton, Florida and met with the IBM team and did that, you know, fancy licensing agreement. But after, you know, 20 years of being the most valuable company in the world and 13 years of antitrust and getting broken up, almost like at and TIBM almost didn’t make payroll. [00:02:14] Jay McBain: 13 years after meeting Bill Gates. Yeah, that’s how quickly things change in these eras. In 1999, a small company outta San Francisco called salesforce.com got its start. About 10 years later, Jeff Bezos asked a question in a boardroom, could we rent out our excess capacity and would other companies buy it? [00:02:35] Jay McBain: Which, you know, most people in the room laughed at ’em at the time. But it created a 20 year cloud era when our friends, our neighbors, our family. Saw Chachi PT for the first time in March of 2023. They saw the deep fakes, they saw the poetry, they saw the music. They came to us as tech people and said, did we just light up Skynet? [00:02:58] Jay McBain: And that consumer trend has triggered this next 20 years. I could walk through the richest people in the world through those trends. I could walk through the most valuable companies. It all aligns. ’cause by the way, Apple’s no longer at the top. Nvidia is at the top, Microsoft. Second, things change really quickly. [00:03:17] Jay McBain: So in that course of time, you start to look at our industry and as people are talking about a six and a half or $7 trillion build out of ai, that’s open AI and Microsoft numbers, that is bigger than our industry that’s taken over 50 years to build. This year, we’re gonna finish the year at $5.3 trillion. [00:03:36] Jay McBain: That’s from the smallest flower shop to the biggest bank. Biggest governments that Caresoft would, uh, serve biggest customer in the world is actually the federal government of the us. But you look at this pie chart and you look at the changes that we’re gonna go through over the next 20 years, there’s about a trillion dollars in hardware. [00:03:54] Jay McBain: There’s about a trillion dollars in software. If you look forward through all of the merging trends, quantum computing, humanoid robots, all the things that are coming that dollar to dollar software to hardware will continue to exist all the way through. We see services making up almost two thirds of this pie. [00:04:13] Jay McBain: Yesterday I was in a telco conference with at and t and Verizon and T-Mobile and some of the biggest wireless players and IT services, which happen to be growing faster than products. At the moment, there is more work to be done wrapping around the deal than the actual products that the customer is buying. [00:04:32] Jay McBain: So in an industry that’s growing at 7%. On top of the world economy that’s grown at 2.2. This is the fastest growing industry, and it will be at least for the next 10 years, if not 2070 0.1% of this entire $5 trillion gets transacted through partners. While what we’re talking to today about the ultimate partner, 96% of this industry is surrounded by partners in one way or another. [00:05:01] Jay McBain: They’re there before the deal. They’re there at the deal. They’re there after the deal. Two thirds of our industry is now subscription consumption based. So every 30 days forever, and a customer for life becomes everything. So if every deal in medium, mid-market, and higher has seven partners, according to McKinsey, who are those seven people trying to get into the deal? [00:05:25] Jay McBain: While there’s millions of companies that have come into tech over the last 10 to 20 years. Digital agencies, accountants, legal firms, everybody’s come in. The 250,000 SaaS companies, a million emerging tech companies, there’s a big fight to be one of those seven trusted people at the table. So millions of companies and tens of millions of people our competing for these slots. [00:05:49] Jay McBain: So one of the pieces of research I’m most proud of, uh, in my analyst career is this. And this took over two years to build. It’s a lot of logos. Not this PowerPoint slide, but the actual data. Thousands of people hours. Because guess what? When you look at partners from the top down, the top 1000 partners, by capability and capacity, not by resale. [00:06:15] Jay McBain: It’s not a ranking of CDW and insight and resale numbers. It is the surrounding. Consulting, design, architecture, implementations, integrations, managed services, all the pieces that’s gonna make the next 20 years run. So when you start to look at this, 98% of these companies are private, so very difficult to get to those numbers and, uh, a ton of research and help from AI and other things to get this. [00:06:41] Jay McBain: But this is it. And if you look at this list, there’s a thousand logos out of the million companies. There’s a thousand logos that drive two thirds of all tech services in the world. $1.07 trillion gets delivered by a thousand companies, but here’s where it gets fun. Those companies in the middle, in blue, the 30 of them deliver more tech services than the next 970. [00:07:08] Jay McBain: Combined the 970 combined in white deliver more tech services. Then the next million combined. So if you think we live in an 80 20 rule or maybe a 99, a 95 5 rule, or a 99 1 rule, we actually live in a 99.9 0.1 parallel principle. These companies spread around the world evenly split across the uh, different regions. [00:07:35] Jay McBain: South Africa, Latin America, they’re all over. They split. They split among types. All of the Venn diagram I just showed from GSIs to VARs to MSPs, to agencies and other types of companies. But this is a really rich list and it’s public. So every company in the world now, if you’re looking at Transactable data, if you’re looking at quantifiable data that you can go put your revenue numbers against, it represents 70 to 80% of every company in this room’s Tam. [00:08:08] Jay McBain: In one piece of research. So what do you do below that? How do you cover a million companies that you can’t afford to put a channel account manager? You can’t afford to write programs directly for well after the top down analysis and all the wallet share and you know exactly where the lowest hanging fruit is for most of your tam. [00:08:28] Jay McBain: The available markets. The obtainable markets. You gotta start from the community level grassroots up. So you need to ask the question for the million companies and the maybe a hundred thousand companies out there, partner companies that are surrounding your customer. These are the seven partners that surround your customer. [00:08:48] Jay McBain: What do they read, where do they go, and who do they follow? Interestingly enough, our industry globally equates to only a thousand watering holes, a thousand companies at the top, a thousand places at the bottom. 35% of this audience we’re talking. Millions of people here love events and there’s 352 of them like this one that they love to go to. [00:09:13] Jay McBain: They love the hallway chats, they love the hotel lobby bar, you know, in a time reminded by the pandemic. They love to be in person. It’s the number one way they’re influenced. So if you don’t have a solid event strategy and you don’t have a community team out giving out socks every week, your competitors might beat you. [00:09:31] Jay McBain: 12% of this audience loves podcasts. It’s the Joe Rogan effect of our industry. And while you know, you may not think the 121 podcasts out there are important, well, you’re missing 12% of your audience. It’s over a million people. If you’re not on a weekly podcast in one of these podcasts in the world, there’s still people that read one of the 106 magazines in the world. [00:09:55] Jay McBain: There are people that love peer groups, associations, they wanna be part of this. There’s 15 different ways people are influenced. And a solid grassroots strategy is how you make this happen. In the last 10 years, we’ve created a number of billionaires. Bottom up. They never had to go talk to la large enterprise. [00:10:15] Jay McBain: They never had to go build out a mid-market strategy. They just went and give away socks and new community marketing. And this has created, I could rip through a bunch of names that became unicorns just in the last couple of years, bottoms up. You go back to your board walking into next year, top down, bottom up. [00:10:34] Jay McBain: You’ve covered a hundred percent of your tam, and now you’ve covered it with names, faces, and places. You haven’t covered it with a flywheel or a theory. And for 44 years, we have gone to our board every fourth quarter with flywheels and theory. Trust me, partners are important. The channel is key to us. [00:10:57] Jay McBain: Well, let’s talk at the point of this granularity, and now we’re getting supported by technology 261 entrepreneurs. Many of them in the room actually here that are driving this ability to succeed with seven partners in every deal to exchange data to be able to exchange telemetry of these prospects to be able to see twice or three times in terms of pipeline of your target addressable market. [00:11:26] Jay McBain: All these ai, um, technologies, agentic technologies are coming into this. It’s all about data. It’s all about quantifiable names, faces, and places. Now none of us should be walking around with flywheels, so let’s flip the flywheels. No. Uh, so we also look at, and I sold PCs for 17 years and that was in the high times of 40% margins for partners. [00:11:55] Jay McBain: But one interesting thing when you study the p and l for broad base of partners around the world, it’s changed pretty significantly in this last 20 year era. What the cloud era did is dropped hardware from what used to be 84% plus the break fix and things that wrap around it of the p and l to now 16% of every partner in the world. [00:12:16] Jay McBain: 84% of their p and l is now software and services. And if you look at profitability, it’s worse. It’s actually 87% is profitability wise. They’ve completely shifted in terms of where they go. Now we look at other parts of our market. I could go through every part of the pie of the slide, but we’re watching each of the companies, and if you can see here, this is what we want to talk about in terms of ultimate partner. [00:12:43] Jay McBain: Microsoft has outgrown AWS for 26 straight quarters. They don’t have a better product. They don’t have a better price, they don’t have better promotion. It’s all place. And I’ll explain why you guess here in the light green line. Exactly. The day that Google went a hundred percent all in partner, every deal, even if a deal didn’t have a partner, one of the 4% of deals that didn’t have a partner, they injected a partner. [00:13:09] Jay McBain: You can see on the left side exactly where they did it. They got to the point of a hundred percent partner driven. Rebuilt their programs, rebuilt their marketplace. Their marketplace is actually larger than Microsoft’s, and they grew faster than Microsoft. A couple of those quarters. It is a partner driven future, and now I have Oracle, which I just walked by as I walked from the hotel. [00:13:31] Jay McBain: Oracle with their RPOs will start to join. Maybe the list of three hyperscalers becomes the list of four in future slides, but that’s a growth slide. Market share is different. AWS early and commanding lead. And it plays out, uh, plays out this way. But we’re at an interesting moment and I stood up six years ago talking about the decade of the ecosystem after we went through a decade of sales starting in 1999 when we all thought we were born to be salespeople. [00:14:02] Jay McBain: We managed territories with our gut. The sales tech stack would have it different, that sales was a science, and we ended the decade 2009, looking at sales very differently in 2009. I remember being at cocktail parties where CMOs would be joking around that 50% of their marketing dollars were wasted. They just didn’t know which 50%. [00:14:23] Jay McBain: And I’ll tell you, that was really funny. In 2009 till every 58-year-old CMO got replaced by a 38-year-old growth hacker who walked in with 15,348 SaaS companies in their MarTech and ad tech stack to solve the problem, every nickel of marketing by 2019 was tracked. Marketo, Eloqua, Pardot, HubSpot, driving this industry. [00:14:50] Jay McBain: Now, we stood up and said the 28 moments that come before a sale are pretty much all partner driven. In the best case scenario, a vendor might see four of the moments. They might come to your website, maybe they read an ebook, maybe they have a salesperson or a demo that comes in. That’s four outta 28 moments. [00:15:10] Jay McBain: The other 24 are done by partners. Yeah, in the worst case scenario and the majority scenario, you don’t see any of the moments. All 28 happen and you lose a deal without knowing there ever was a deal. So this is it. We need to partner in these moments and we need to inject partners into sales and marketing, like no time before, and this was the time to do it. [00:15:33] Jay McBain: And we got some feedback in the Salesforce state of sales report, which doesn’t involve any partnerships or, or. Channel Chiefs or anything else. This is 5,500 of the biggest CROs in the world that obviously use Salesforce. 89% of salespeople today use partners every day. For the 11% who don’t, 58% plan two within a year. [00:15:57] Jay McBain: If you add those two numbers together, that’s magically the 96% number. They recognize that every deal has partners in it. In 2024, last year, half of the salespeople in the world, every industry, every country. Miss their numbers. For the minority who made their numbers, 84 point percent pointed to partners as the reason why they made their numbers. [00:16:21] Jay McBain: It was the cheat code for sales, so that modern salesperson that knows how to orchestrate a deal, orchestrate the 28 moments with the seven partners and get to that final spot is the winning formula. HubSpot’s number in separate research was 84% in marketing. So we’re starting to see partners in here. We don’t have to shout from the mountaintops. [00:16:44] Jay McBain: These communities like ultimate Partner are working and we’re getting this to the highest levels in the board. And I’ll say that, you know, when 20 years from now half of the companies we know and love fail after we’re done writing the book and blaming the CEO for inventing the thing that ended up killing them, blaming the board for fiduciary responsibility and letting it happen. [00:17:06] Jay McBain: What are the other chapters of the book? And I think it’s all in one slide. We are in this platform economy and the. [00:17:31] Jay McBain: So your battery’s fine. Check, check, check, check. Alright, I’ll, I’ll just hold this in case, but the companies that execute on all five of these areas, well. Not only today become the trillion dollar valued companies, but they become the companies of tomorrow. These will be the fastest growing companies at every level. [00:17:50] Jay McBain: Not only running a platform business, but participating in other platforms. So this is how it breaks out, and there are people at very senior levels, at very big companies that have this now posted in the office of the CEO winning on integrations is everything. We just went through a demographic shift this year where 51% of our buyers are born after 1982. [00:18:15] Jay McBain: Millennials are the number one buyer of the $5 trillion. Their number one buying criteria is not service. Support your price, your brand reputation, it’s integrations. The buy a product, 80% is good as the next one if it works better in their environment. 79% of us won’t buy a car unless it has CarPlay or Android Auto. [00:18:34] Jay McBain: This is an integration world. The company with the most integrations win. Second, there are seven partners that surround the customer. Highly trusted partners. We’re talking, coaching the customer’s, kids soccer team, having a cottage together up at the lake. You know, best men, bate of honors at weddings type of relationships. [00:18:57] Jay McBain: You can’t maybe have all seven, but how does Microsoft beat AWS? They might have had two, three, or four of them saying nice things about them instead of the competition. Winning in service partnerships and channel partnerships changes by category. If you’re selling MarTech, only 10% of it today is resold, so you build more on service partnerships. [00:19:18] Jay McBain: If you’re in cybersecurity today, 91.6% of it is resold. Transacted through partners. So you build a lot of channel partnerships, plus the service partnerships, whatever the mix is in your category, you have to have two or three of those seven people. Saying nice things about you at every stage of the customer journey. [00:19:38] Jay McBain: Now move over to alliances. We have already built the platforms at the hyperscale level. We’ve built the platforms within SaaS, Salesforce, ServiceNow, Workday, Marketo, NetSuite, HubSpot. Every buyer has a set of platforms that they buy. We’ve now built them in cybersecurity this year out of 6,500 as high as cyber companies, the top five are starting to separate. [00:20:02] Jay McBain: We built it in distribution, which I’ll show in a minute. We’re building it in Telco. This is a platform economy and alliances win and you have alliances with your competitors ’cause you compete in the morning, but you’re best friends by the afternoon. Winning in other platforms is just as important as driving your own. [00:20:20] Jay McBain: And probably the most important part of this is go to market. That sales, that marketing, the 28 moments, the every 30 days forever become all a partner strategy. So there’s still CEOs out there that believe platform is a UI or UX on a bunch of disparate products and things you’ve acquired. There’s still CFOs out there that Think platform is a pricing model, a bundle model of just getting everything under one, you know, subscription price or consumption price. [00:20:51] Jay McBain: And it’s not, platforms are synonymous with partnerships. This is the way forward and there’s no conversation around ai. That doesn’t involve Nvidia over there, an open AI over here and a hyperscaler over there and a SaaS company over here. The seven layer stack wins every single time, and the companies that get this will be the ones that survive this cycle. [00:21:16] Jay McBain: Now, flipping over to marketplaces. So we had written research that, um, about five years ago that marketplaces were going to grow at 82% compounded. Yeah, probably one of the most accurate predictions we ever made, because it happened, we, we predicted that, uh, we were gonna get up to about $85 billion. Well, now we’ve extended that to 2030, so we’re gonna get up to $163 billion, and the thing that we’re watching is in green. [00:21:46] Jay McBain: If 96% of these deals are partner assisted in some way, how is the economics of partnering going to work? We predicted that 50% of deals by 2027. Would be partner funded in some way. Private offers multi-partner offers distributor sellers of record, and now that extends to 59% by 2030, the most senior leader of the biggest marketplace AWS, just said to us they’re gonna probably make these numbers on their own. [00:22:14] Jay McBain: And he asked what their two competitors are doing. So he’s telling us that we under called this. Now when you look at each of the press releases, and this is the AWS Billion Dollar Club. Every one of the companies on the left have issued a press release that they’re in the billion dollar club. Some of them are in the multi-billions, but I want you to double click on this press release. [00:22:35] Jay McBain: I’m quoted in here somewhere, but as CrowdStrike is building the marketplace at 91% compounded, they’re almost doubling their revenue every single year. They’re growing the partner funding, in this case, distributor funding by 3548%. Almost triple digit growth in marketplace is translating into almost quadruple digit growth in funding. [00:23:01] Jay McBain: And you see that over and over again as, as Splunk hit three, uh, billion dollars. The same. Salesforce hit $2 billion on AWS in Ulti, 18 months. They joined in October 20, 23, and 18 months later, they’re already at $2 billion. But now you’re seeing at Salesforce, which by the way. Grew up to $40 billion in revenue direct, almost not a nickel in resell. [00:23:28] Jay McBain: Made it really difficult for VARs and managed service providers to work with Salesforce because they couldn’t understand how to add services to something they didn’t book the revenue for. While $40 billion companies now seeing 70% of their deals come through partners. So this is just the world that we’re in. [00:23:44] Jay McBain: It doesn’t matter who you are and what industry you’re in, this takes place. But now we’re starting to see for the first time. Partners join the billion dollar club. So you wonder about partnering and all this funding and everything that’s working through Now you’re seeing press releases and companies that are redoing their LinkedIn branding about joining this illustrious club without a product to sell and all the services that wrap around it. [00:24:10] Jay McBain: So the opening session on Microsoft was interesting because there’s been a number of changes that Microsoft has done just in the last 30 days. One is they cut distribution by two thirds going from 180 distributors to 62. They cut out any small partner lower than a thousand dollars, and that doesn’t sound like a lot, but that’s over a hundred thousand partners that get deed tightening the long tail. [00:24:38] Jay McBain: They we’re the first to really put a global point system in place three years ago. They went to the new commerce experience. If you remember, all kinds of changes being led by. The biggest company for the channel. And so when we’re studying marketplaces, we’re not just studying the three hyperscalers, we’re studying what TD Cynic is doing with Stream One Ingram’s doing with Advant Advantage Aerosphere. [00:25:01] Jay McBain: Also, we’re watching what PAX eight, who by the way, is the 365 bestseller for Microsoft in the world. They are the cybersecurity leader for Microsoft in the world and the copilot. Leader in the world for Microsoft and Partner of the Year for Microsoft. So we’re watching what the cloud platforms are doing, watching what the Telco are doing, which is 25 cents out of every dollar, if you remember that pie chart, watching what the biggest resellers are converting themselves into. [00:25:30] Jay McBain: Vince just mentioned, you know, SHI in the changes there watching the managed services market and the leaders there, what they’re doing in terms of how this industry’s moving forward. By the way, managed services at $608 billion this year. Is one and a half times larger than the SaaS industry overall. [00:25:48] Jay McBain: It’s also one and a half times larger than all the hyperscalers combined. Oracle, Alibaba, IBM, all the way down. This is a massive market and it makes up 15 to 20 cents of every dollar the customer spend. We’re watching that industry hit a trillion dollars by the end of the decade, and we’re watching 150 different marketplace development platforms, the distribution of our industry, which today is 70.1% indirect. [00:26:13] Jay McBain: We’re starting to see that number, uh, solidify in terms of marketplaces as well. Watching distributors go from that linear warehouse in a bank to this orchestration model, watching some of the biggest players as the world comes around, platforms, it tightens around the place. So Caresoft, uh, from from here is the sixth biggest distributor in the world. [00:26:40] Jay McBain: Just shows you how big the. You know, biggest client in the world is that they serve. But understand that we’re publishing the distributor 500 list, but it’ll be the same thing. That little group in blue in the middle today, you know, drives almost two thirds of the market. So what happens in all this next stage in terms of where the dollars change hands. [00:27:07] Jay McBain: And the economics of partnering themselves are going through the most radical shift that we’ve seen ever. So back to the nineties, and, and for those of you that have been channel chiefs and running programs, we went to work every day. You know, everything’s on fire. We’re trying to check hundred boxes, trying to make our program 10% better than our competitors. [00:27:30] Jay McBain: Hey, we gotta fix our deal registration program today, and our incentives are outta whack or training programs or. You know, not where they need to be. Our certification, you know, this was the life of, uh, of a channel chief. Everybody thought we were just out drinking in the Caribbean with our best partners, but we were under the weight of this. [00:27:49] Jay McBain: But something interesting has happened is that we turned around and put the customer at the middle of our programs to say that those 28 moments in green before the sale are really, really important. And the seven partners who participate are really important. Understanding. The customer’s gonna buy a seven layer stack. [00:28:09] Jay McBain: They’re gonna buy it With these seven partners, the procurement stage is much different. The growth of marketplaces, the growth of direct in some of these areas, and then long term every 30 days forever in a managed service, implementations, integrations, how you upsell, cross-sell, enrich a deal changes. So how would you build a program that’s wrapped around the customer instead of the vendor? [00:28:35] Jay McBain: And we’re starting to hear our partners shout back to us. These are global surveys, big numbers, but over half of our partners, regardless of type, are selling consulting to their customer. Over half are designing architecting deals. A third of them are trying to be system integrators showing up at those implementation integration moments. [00:28:55] Jay McBain: Two thirds of them are doing managed services, but the shocking one here is 44% of our partners, regardless of type, are coding. They’re building agents and they’re out helping their customer at that level. So this is the modern partner that says, don’t typecast me. You may have thought of me in your program. [00:29:14] Jay McBain: You might have me slotted as a var. Well, I do 3.2 things, and if I don’t get access to those resources, if you don’t walk me to that room, I’m not gonna do them with you. You may have me as a managed service provider that’s only in the morning. By the afternoon I’m coding, and by the next morning I’m implementing and consulting. [00:29:33] Jay McBain: So again, a partner’s not a partner. That Venn diagram is a very loose one now, as every partner on there is doing 3.2 different business models. And again, they’re telling us for 43 years, they said, I want more leads this year it changed. For the first time, I want to be recognized and incentivized as more than just a cash register for you. [00:29:57] Jay McBain: I want you to recognize when I’m consulting, when I’m designing, when you’re winning deals, because of my wonderful services, by the way, we asked the follow up question, well, where should we spend our money with you? And they overwhelmingly say, in the consulting stage, you win and lose deals. Not at moment 28. [00:30:18] Jay McBain: We’re not buying a pack of gum at the gas station. This is a considered purchase. You win deals from moment 12 through 16 and I’m gonna show you a picture of that later, and they say, you better be spending your money there, or you’re not gonna win your fair share or more than your fair share of deals. [00:30:36] Jay McBain: The shocking thing about this is that Microsoft, when they went to the point system, lifted two thirds of all the money, tens of billions of dollars, and put it post-sale, and we were all scratching our heads going. Well, if the partners are asking for it there, and it seems like to beat your biggest competitors, you want to win there. [00:30:54] Jay McBain: Why would you spend the money on renewal? Well, they went to Wall Street and Goldman Sachs and the people who lift trillions of dollars of pension funds and said, if we renew deals at 108%, we become a cash machine for you. And we think that’s more valuable than a company coming out with a new cell phone in September and selling a lot of them by Christmas every year. [00:31:18] Jay McBain: The industry. And by the way, wall Street responded, Microsoft has been more valuable than Apple since. So we talk in this now multiplier language, and these are reports that we write, uh, at AMIA at canals. But talking about the partner opportunity in that customer cycle, the $6 and 40 cents you can make for every dollar of consumption, or the $7 and 5 cents you can make the $8 and 45 cents you can make. [00:31:46] Jay McBain: There’s over 24 companies speaking at this level now, and guess what? It’s not just cloud or software companies. Hardware companies are starting to speak in this language, and on January 25th, Cisco, you know, probably second to Microsoft in terms of trust built with the channel globally is moving to a full point system. [00:32:09] Jay McBain: So these are the changes that happen fast. But your QBR with your partners now less about drinking beers at the hotel lobby bar and talking dollar by dollar where these opportunities are. So if you’re doing 3.2 of these things, let’s build out a, uh, a play where you can make $3 for every dollar that we make. [00:32:28] Jay McBain: And you make that profitably. You make it in sticky, highly retained business, and that’s the model. ’cause if you make $3 for every dollar. We make, you’re gonna win Partner of the year, and if you win partner of the year, that piece of glass that you win on stage, by the time you get back to your table, you’re gonna have three offers to buy your business. [00:32:51] Jay McBain: CDW just bought a w. S’s Partner of the Year. Insight bought Google’s eight time partner of the year. Presidio bought ServiceNow’s, partner of the year over and over and over again. So I’m at Octane, I’m at CrowdStrike, I’m at all these events in Vegas every week. I’m watching these partners of the year. [00:33:05] Jay McBain: And I’m watching as the big resellers. I’m watching as the GSIs and the m and a folks are surrounding their table after, and they’re selling their businesses for SaaS level valuations. Not the one-to-one service valuation. They’re getting multiples because this is the new future of our industry. This is platform economics. [00:33:25] Jay McBain: This is winning and platforms for partners. Now, like Vince, I spent 20 minutes without talking about ai, but we have to talk about ai. So the next 20 years as it plays out is gonna play out in phases. And the first thing you know to get it out of the way. The first two years since that March of 23, has been underwhelming, to say the least. [00:33:47] Jay McBain: It’s been disappointing. All the companies that should have won the biggest in AI have been the most disappointing. It’s underperformed the s and p by a considerable amount in terms of where we are. And it goes back to this. We always overestimate the first two years, but we underestimate the first 10. [00:34:07] Jay McBain: If you wanna be the point in time person and go look at that 1983 PC or the 1995 internet or that 2007 iPhone or that whatever point in time you wanna look at, or if you want to talk about hallucinations or where chat chip ET version five is version, as opposed to where it’s going to be as it improves every six months here on in. [00:34:30] Jay McBain: But the fact of the matter is, it’s been a consumer trend. Nvidia got to be the most valuable company in the world. OpenAI was the first company to 2 billion users, uh, in that amount of speed. It’s the fastest growing product ever in history, and it’s been a consumer win this trillions of dollars to get it thrown around in the press releases. [00:34:49] Jay McBain: They’re going out every day, you know, open ai, signing up somebody new or Nvidia, investing in somebody new almost every single day in hundreds of billions of dollars. It is all happening really on the consumer side. So we got a little bit worried and said, is that 96% of surround gonna work in ag agentic ai? [00:35:10] Jay McBain: So we went and asked, and the good news is 88% of end customers are using partners to work through their ag agentic strategy. Even though they’re moving slow, they’re actually using partners. But what’s interesting from a partner perspective, and this is new research that out till 2030. This is the number one services opportunity in the entire tech or telco industry. [00:35:34] Jay McBain: 35.3% compounded growth ending at $267 billion in services. Companies are rebuilding themselves, building out practices, and getting on this train and figuring out which vendors they should hook their caboose to as those trains leave the station. But it kind of plays out like this. So in the next three to five years, we’re in this generative, moving into agentic phase. [00:36:01] Jay McBain: Every partner thinks internally first, the sales and marketing. They’re thinking about their invoicing and billing. They’re thinking about their service tickets. They’re thinking about creating a business that’s 10% better than their competitors, taking that knowledge into their customers and drive in business. [00:36:17] Jay McBain: But we understand that ag agentic AI, as it’s going to play out is not a product. A couple of years ago, we thought maybe a copilot or an agent force or something was going to be the product that everybody needed to buy, and it’s not a product, it’s gonna show up as a feature. So you go back in the history of feature ads and it’s gonna show up in software. [00:36:38] Jay McBain: So if you’re calling in SMB, maybe you’re calling on a restaurant. The restaurant isn’t gonna call OpenAI or call Microsoft or call Nvidia directly. They’re running their restaurant. And they may have chosen a platform like Toast Square, Clover, whatever iPads people are running around with, runs on a platform that does everything in their business, does staffing, does food ordering, works with Uber Eats, does everything end to end? [00:37:08] Jay McBain: They’re gonna wait to one of those platforms, dries out agent AI for them, and can run the restaurant more effectively, less human capital and more consistently, but they wait for the SaaS platform as you get larger. A hundred, 150 people. You have vice presidents. Each of those vice presidents already have a SaaS stack. [00:37:28] Jay McBain: I talked about Salesforce, ServiceNow, Workday, et cetera. They’ve already built that seven layer model and in some cases it’s 70 layers. But the fact is, is they’re gonna wait for those SaaS layers to deliver ag agentic to them. So this is how it’s gonna play out for the next three and a half, three to five years. [00:37:45] Jay McBain: And partners are realizing that many of them were slow to pick up SaaS ’cause they didn’t resell it. Well now to win in this next three to half, three to five years, you’re gonna have to play in this environment. When you start looking out from here, the next generation, you know, kind of five through 15 years gets interesting in more of a physical sense. [00:38:06] Jay McBain: Where I was yesterday talking about every IOT device that now is internet access, starts to get access to large language models. Every little sensor, every camera, everything that’s out there starts to get smart. But there’s a point. The first trillionaire, I believe, will be created here. Elon’s already halfway there. [00:38:24] Jay McBain: Um, but when Bill Gates thought there was gonna be a PC in every home, and IBM thought they were gonna sell 10,000 to hobbyists, that created the richest person in the world for 20 years, there will be a humanoid in every home. There’s gonna be a point in time that you’re out having drinks with your friends, and somebody’s gonna say, the early adopter of your friends is gonna say. [00:38:46] Jay McBain: I haven’t done the dishes in six weeks. I haven’t done the laundry. I haven’t made my bed. I haven’t mowed the lawn. When they say that, you’re gonna say, well, how? And they’re gonna say, well, this year I didn’t buy a new car, but I went to the car dealership and I bought this. So we’re very close to the dexterity needed. [00:39:05] Jay McBain: We’ve got the large language models. Now. The chat, GPT version 10 by then is going to make an insane, and every house is gonna have one of the. [00:39:17] Jay McBain: This is the promise of ai. It’s not humanoid robots, it’s not agents. It’s this. 99% of the world’s business data has not been trained or tuned into models yet. Again, this is the slow moving business. If you want to think about the 99% of business data, every flight we’ve all taken in this room sits on a saber system that was put in place in 1964. [00:39:43] Jay McBain: Every banking transaction, we’ve all made, every withdrawal, every deposit sits on an IBM mainframe put in place in the sixties or seventies. 83% of this data sits in cold storage at the edge. It’s not ready to be moved. It’s not cleansed, it’s not, um, indexed. It’s not in any format or sitting on any infrastructure that a large language model will be able to gobble up the data. [00:40:10] Jay McBain: None of the workflows, none of the programming on top of that data is yet ready. So this is your 10 to 20 year arc of this era that chat bot today when they cancel your flight is cute. It’s empathetic, it feels bad for you, or at least it seems to, but it can’t do anything. It can’t book you the Marriott and get you an Uber and then a 5:00 AM flight the next morning. [00:40:34] Jay McBain: It can’t do any of that. But more importantly, it doesn’t know who you are. I’ve got 53 years of flights under my belt and they, I’m the person that get me within six hours of my kids and get me a one-way Hertz rental. You know, if there’s bad weather in Miami, get me to Tampa, get me a Hertz, I’m driving home, I’m gonna make it home. [00:40:56] Jay McBain: I’m not the 5:00 AM get me a hotel person. They would know that if they picked up the flights that I’ve taken in the past. Each of us are different. When you get access to the business data and you become ag agentic, everything changes. Every industry changes because of this around the customers. When you ask about this 35% growth, working on that data, working in traditional consulting and design and implementation, working in the $7 trillion of infrastructure, storage, compute, networking, that’s gonna be around, this is a massive opportunity. [00:41:30] Jay McBain: Services are gonna continue to outgrow products. Probably for the next five to 10 years because of this, and I’m gonna finish here. So we talked a lot about quantifying names, faces, places, and I think where we failed the most as ultimate partners is underneath the tam, which every one of our CEOs knows to the decimal point underneath the TAM that our board thinks they’re chasing. [00:41:59] Jay McBain: We’ve done a very poor job. Of talking about the available markets and obtainable markets underneath it, we, we’ve shown them theory. We’ve shown them a bunch of, you know, really smart stuff, and PowerPoint slides up the wazoo, but we’ve never quantified it for them. If they wanna win, if they want to get access, if they want to double their pipeline, triple their pipeline, if they wanna start winning more deals, if they wanna win deals that are three times larger, they close two times faster. [00:42:31] Jay McBain: And they renew 15% larger. They have to get into the available and obtainable markets. So just in the last couple weeks I spoke at Cribble, I spoke at Octane, I spoke at CrowdStrike Falcon. All three of those companies at the CEO level, main stage use those exact three numbers, three x, two x, 15%. That’s the language of platforms, and they’re investing millions and millions and millions of dollars on teams. [00:42:59] Jay McBain: To go build out the Sam Andal in name spaces and places. So you’ve heard me talk about these 28 moments a lot. They’re the ones that you spend when you buy a car. Some people spend one moment and they drive to the Cadillac dealership. ’cause Larry’s been, you know, taking care of the family for 50 years. [00:43:18] Jay McBain: Some people spend 50 moments like I do, watching every YouTube video and every, you know, thing on the internet. I clear the internet cover to cover. But the fact is, is every deal averages around these 28 moments. Your customer, there’s 13 members of the buying committee today. There’s seven partners and they’re buying seven things. [00:43:37] Jay McBain: There’s 27 things orchestrating inside these 28 moments. And where and how they all take place is a story of partnering. So a couple of years ago, canals. Latin for channel was acquired by amia, which is a part of Informa Tech Target, which is majority owned by Informa. All that being said, there’s hundreds of magazines that we have. [00:44:00] Jay McBain: There’s hundreds of events that we run. If somebody’s buying cybersecurity, they probably went to Black Hat or they probably went to GI Tech. One of these events we run, or one of the magazines. So we pick up these signals, these buyer intent signals as a company. Why did they wanna, um, buy a, uh, a Canals, which was a, you know, a small analyst firm around channels? [00:44:22] Jay McBain: They understood this as well. The 28 moments look a lot like this when marketers and salespeople are busy filling in the spots of every deal. And by the way, this is a real deal. AstraZeneca came in to spend millions of dollars on ASAP transformation, and you can start to see as the customer got smart. [00:44:45] Jay McBain: The eBooks, they read the podcasts, they listened to the events they went to. You start to see how this played out over the long term. But the thing we’ve never had in our industry is the light blue boxes. This deal was won and lost in December. In this particular case, NTT software won and Yash came in and sold the customer five projects. [00:45:07] Jay McBain: The millions of dollars that were going to be spent were solved here. The design and architecture work was all done here. A couple of ISVs You see in light blue came in right at the end, deal was closed in April. You see the six month cycle. But what if you could fill in every one of the 28 boxes in every single customer prospect that your sales and marketing team have? [00:45:30] Jay McBain: But here’s the brilliance of this. Those light blue boxes didn’t win the deals there. They won the deals months before that. So when NTT and Software one walked into this deal. They probably won the deal back in October and they had to go through the redlining. They had to go through the contracting, they had to go through all the stuff and the Gantt chart to get started. [00:45:54] Jay McBain: But while your CMO is getting all excited about somebody reading an ebook and triggering an MQL that the sales team doesn’t want, ’cause it’s not qualified, it’s not sales qualified, you walk in and say, no, no. This is a multimillion deal, dollar deal. It’s AstraZeneca. I know the five partners that are coming in in December to solidify the seven layers, and you’re walking in at the same time as the CMOs bragging about an ebook. [00:46:21] Jay McBain: This changes everything. If we could get to this level of data about every dollar of our tam, we not only outgrow our competitors, we become the platforms of the next generation. Partnering and ultimate partnering is all here. And this is what we’re doing in this room. This is what we’re doing over these couple of days, and this is what, uh, the mission that Vince is leading. [00:46:43] Jay McBain: Thank you so much. [00:46:47] Vince Menzione: Woo. Day in the house. Good to see you my friend. Good to see you. Oh, we’re gonna spend a couple minutes. Um, I’m put you in the second seat. We’re gonna put, we’re gonna make it sit fireside for a minute. Uh, that was intense. It was pretty incredible actually, Jay. And so I’m, I think I wanna open it up ’cause we only have a few minutes just to, any questions? [00:47:06] Vince Menzione: I’m sure people are just digesting. We already have one up here. See, [00:47:09] Question: Jay knows I’m [00:47:10] Vince Menzione: a question. I love it. We, I don’t think we have any I can grab a mic, a roving mic. I could be a roving mic person. Hold on. We can do this. This is not on. [00:47:25] Vince Menzione: Test, test. Yes it is. Yeah. [00:47:26] Question: Theresa Carriol dared me to ask a question and I say, you don’t have to dare me. You know, I’m going to Anyway. Um, so Jay, of the point of view that with all of the new AI players that strategic alliances is again having a moment, and I was curious your point of view on what you’re seeing around this emergence and trend of strategic alliances and strategic alliance management. [00:47:52] Question: As compared to channel management. And what are you seeing in terms of large vendors like AWS investing in that strategic alliance role versus that channel role training, enablement, measurement, all that good stuff? [00:48:06] Jay McBain: Yeah, it’s, it’s a great question. So when I told the story about toast at the restaurant or Square or Clover, they’re not call, they’re not gonna call open AI or Nvidia themselves either. [00:48:17] Jay McBain: When you look out at the 250,000 ISVs. That make up this AI stack, there is the layers that happen there. So the Alliance with AWS, the alliance they have with Microsoft or Google is going to be how they generate agent AI in their platforms. So when I talk about a seven layer stack, the average deal being seven layers, AI is gonna drive this to nine, and then 11, then probably 13. [00:48:44] Jay McBain: So in terms of how alliances work, I had it up there as one of the five core strategies, and I think it’s pretty even. You can have the best alliances in the world, but if the seven partners trusted by the customer don’t know what that alliance is and the benefits to the customer and never mention it, it’s all for Naugh. [00:49:00] Jay McBain: If you’re go-to market, you’re co-selling, your co-marketing strategies are not built around that alliance. It’s all for naught. If the integration and the co-innovation, the co-development, the all the co-creation work that’s done inside these alliances isn’t translated to customer outcomes, it’s all for naugh. [00:49:17] Jay McBain: These are all five parallel swim lanes. All five are absolutely critically needed. And I think they’re all five pretty equally weighted in terms of needing each other. Yes. To be successful in the era of platforms. Yeah. [00:49:32] Vince Menzione: And the problem is they’re all stove pipe today. If, if at all. Yeah. Maintained, right. [00:49:36] Vince Menzione: Alliances is an example. Channels and other example. They don’t talk to one another. Judge any, we’ve got a mic up here if anybody else has. Yep. We have some questions here, Jacqueline. [00:49:51] Question: So when we’re developing our channel programs, any advice on, you know, what’s the shift that we should make six months from now, a year from now? The historical has been bronze, silver, gold, right? And you’ve got your deal registration, but what’s the future look like? [00:50:05] Jay McBain: Yeah, so I mean, the programs are, are changing to, to the point where the customer should be in the middle and realizing the seven partners you need to win the deal. [00:50:15] Jay McBain: And depending on what category of product you’re in, security, how much you rely on resell, 91.6%. You know, the channel partners are gonna be critical where the customer spends the money. And if you’re adding friction to that process, you’re adding friction in terms of your growth. So you know, if you’re in cybersecurity, you have to have a pretty wide open reseller model. [00:50:39] Jay McBain: You have to have a wide open distribution model, and you have to make sure you’re there at that point of sale. While at the same time, considering the other six partners at moment 12 who are in either saying nice things about you or not, the customer might even be starting with you. ’cause there is actually one thing that I didn’t mention when I showed the 28 moments filled in. [00:51:00] Jay McBain: You’ll notice that the customer went to AWS twice direct. AWS lost the deal. Microsoft won the deal software. One is Microsoft’s biggest reseller in the world. They just acquired crayon. NTT who, who loves both had their Microsoft team go in. [00:51:18] Question: Mm. [00:51:19] Jay McBain: So I think that they went to AWS thinking it was A-W-S-S-A-P, you know, kind of starting this seven layer stack. [00:51:25] Jay McBain: I think they finished those, you know, critical moments in the middle looking at it. And then they went back to AWS kind of going probably WWTF. Yeah. What we thought was happening isn’t actually the outcome that was painted by our most trusted people. So, you know, to answer your question, listen to your partners. [00:51:43] Jay McBain: They want to be recognized for the other things they’re doing. You can’t be spending a hundred percent of the dollars at the point of sale. You gotta have a point of system that recognizes the point of sale, maybe even gold, silver, bronze, but recognizing that you’re paying for these other moments as well. [00:51:57] Jay McBain: Paying for alliances, paying for integrations and everything else, uh, in the cyber stack. And, um, you know, recognizing also the top 1000. So if I took your tam. And I overlaid those thousand logos. I would be walking into 2026 the best I could of showing my company logo by logo, where 80% of our TAM sits as wallet share, not by revenue. [00:52:25] Jay McBain: Remember, a million dollar partner is not a million dollar partner. One of them sells 1.2 million in our category. We should buy them a baseball cap and have ’em sit in the front row of our event. One of them sells $10 million and only sells our stuff if the customer asks. So my company should be looking at that $9 million opportunity and making sure my programs are writing the checks and my coverage. [00:52:48] Jay McBain: My capacity and capability planning is getting obsessed over that $9 million. My farmers can go over there, my hunters can go over here, and I should be submitting a list of a thousand sorted in descending order of opportunity. Of where my company can write program dollars into. [00:53:07] Vince Menzione: Great answer. All right. I, I do wanna be cognizant of time and the, all the other sessions we have. [00:53:14] Vince Menzione: So we’ll just take one other question if there are any here and if not, we’ll let I know. Jay, you’re gonna be mingling around for a little while before your flight. I’m [00:53:21] Jay McBain: here the whole day. [00:53:22] Vince Menzione: You, you’re the whole day. I see that Jay’s here the whole day. So if you have any other questions and, and, uh, sharing the deck is that. [00:53:29] Vince Menzione: Yep. Alright. We have permission to share the deck with the each of you as well. [00:53:34] Jay McBain: Alright, well thank you very much everyone. Jay. Great to have you.

This is a recap of the top 10 posts on Hacker News on December 27, 2025. This podcast was generated by wondercraft.ai (00:30): Floor796Original post: https://news.ycombinator.com/item?id=46401612&utm_source=wondercraft_ai(01:55): Nvidia's $20B antitrust loopholeOriginal post: https://news.ycombinator.com/item?id=46403559&utm_source=wondercraft_ai(03:21): Apple releases open-source model that instantly turns 2D photos into 3D viewsOriginal post: https://news.ycombinator.com/item?id=46401539&utm_source=wondercraft_ai(04:47): Show HN: Ez FFmpeg – Video editing in plain EnglishOriginal post: https://news.ycombinator.com/item?id=46400251&utm_source=wondercraft_ai(06:13): How we lost communication to entertainmentOriginal post: https://news.ycombinator.com/item?id=46404848&utm_source=wondercraft_ai(07:39): Gpg.failOriginal post: https://news.ycombinator.com/item?id=46403200&utm_source=wondercraft_ai(09:05): Publishing your work increases your luckOriginal post: https://news.ycombinator.com/item?id=46397991&utm_source=wondercraft_ai(10:31): QNX Self-Hosted Developer DesktopOriginal post: https://news.ycombinator.com/item?id=46398201&utm_source=wondercraft_ai(11:56): Janet Jackson had the power to crash laptop computers (2022)Original post: https://news.ycombinator.com/item?id=46403291&utm_source=wondercraft_ai(13:22): Replacing JavaScript with Just HTMLOriginal post: https://news.ycombinator.com/item?id=46407337&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Im aktuellen Podcast spreche ich mit Philipp Raasch, dem Kopf hinter Der Autopreneur. Philipp beschreibt sich selbst als Analyst für den Wandel der Automobilindustrie. Seit seinem Schritt aus dem Konzern – er war zuvor bei Mercedes tätig – arbeitet er selbstständig und veröffentlicht jede Woche drei Newsletter, einen Podcast, ein YouTube-Video und täglich Beiträge auf LinkedIn. Sein Fokus liegt klar auf B2B: Fach- und Führungskräfte in der Automobilbranche. Er sagt dazu: „Ich mache ausschließlich Business Dynamics – keine Consumer News.“ Genau dieses Profil macht ihn für viele Entscheider zur relevanten Stimme im Markt. Im Gespräch wurde schnell klar, wie sehr sich die Branche verändert und welche Themen seine Community beschäftigen. Philipp sortiert Entwicklungen im größeren Zusammenhang: „Ich beschäftige mich eigentlich mit dem, was mich selber interessiert – und meistens trifft das den Zeitgeist.“ Die großen Linien fasst er mit seinem Modell der „3 plus 1 Transformationen“ zusammen: Elektrifizierung, Software, autonomes bzw. KI-gesteuertes Fahren – und als vierte Ebene der kulturelle Wandel in den Unternehmen. Gerade dieser kulturelle Shift sei aktuell entscheidend, weil die Technologie allein nicht die größte Hürde darstellt. Wir tauschen uns darüber aus, wie stark sich europäische Hersteller schwer tun, ihre Position im globalen Wettbewerb zu halten. Philipp ordnet ein, dass die aktuelle Krise vor allem in China ausgelöst wurde. Dort haben lokale Marken inzwischen knapp 70 Prozent Marktanteil gewonnen – auf Kosten internationaler Hersteller. „Das ist der Grund, warum wir hier über Werkschließungen und Stellenabbau sprechen. Der Ground Zero ist China.“ Nach seiner Einschätzung sind die verlorenen Marktanteile in China kaum zurückzuholen. Stattdessen gehe es dort nun darum, eine Nische zu finden und über Partnerschaften – insbesondere im Bereich Software, ADAS und Elektromobilität – technologisch wieder anzuschließen. In Europa sieht Philipp die Lage ebenfalls angespannt. Die zentrale Frage: Wie reagiert man auf den zunehmenden Wettbewerb aus Asien? Er hält protektionistische Maßnahmen für wahrscheinlich, auch wenn diese schmerzhaft wären. Denn offene Märkte führten zwangsläufig zu ähnlichen Verschiebungen wie in China. Der europäische Wettbewerb müsse sich darauf einstellen, dass chinesische Hersteller „gute Technologie zu einem unschlagbaren Preis“ anbieten. Wir sprechen außerdem über die Frage, ob es sinnvoll ist, weiter auf zwei technologische Plattformen – Verbrenner und Elektromobilität – zu setzen. Philipp beschreibt die Situation als echtes Management-Dilemma. Beide Wege sind riskant, beide kosten Geld. Unternehmen müssten gleichzeitig globale Märkte bedienen, die sich unterschiedlich schnell entwickeln. In seinen Worten: „Es gibt keine gute Entscheidung. Alles ist eine Wette auf die Zukunft.“ Eine wichtige Rolle schreibt Philipp der Politik zu. Er widerspricht klar der oft geforderten Technologieoffenheit: „Wenn du mich fragst, ist das kompletter Bullshit.“ Länder wie China oder die USA agieren mit einer klaren industriepolitischen Agenda – und Europa fehle genau diese strategische Perspektive. Statt langfristiger Ziele sehe er in Deutschland vor allem kurzfristige Maßnahmen. Notwendig sei jedoch eine europäische Lösung, kein nationaler Alleingang: „Nur im Verbund können wir global überhaupt auf Augenhöhe auftreten.“ Nun aber genug der Vorrede – lass uns direkt ins Gespräch einsteigen.

This is a recap of the top 10 posts on Hacker News on December 26, 2025. This podcast was generated by wondercraft.ai (00:30): Rob Pike goes nuclear over GenAIOriginal post: https://news.ycombinator.com/item?id=46392115&utm_source=wondercraft_ai(01:50): How uv got so fastOriginal post: https://news.ycombinator.com/item?id=46393992&utm_source=wondercraft_ai(03:11): Package managers keep using Git as a database, it never works outOriginal post: https://news.ycombinator.com/item?id=46391514&utm_source=wondercraft_ai(04:31): Rob Pike Goes Nuclear over GenAIOriginal post: https://news.ycombinator.com/item?id=46389444&utm_source=wondercraft_ai(05:52): FFmpeg has issued a DMCA takedown on GitHubOriginal post: https://news.ycombinator.com/item?id=46394327&utm_source=wondercraft_ai(07:12): Seven Diabetes Patients Die Due to Undisclosed Bug in Abbott's Glucose MonitorsOriginal post: https://news.ycombinator.com/item?id=46388040&utm_source=wondercraft_ai(08:33): My insulin pump controller uses the Linux kernel. It also violates the GPLOriginal post: https://news.ycombinator.com/item?id=46395184&utm_source=wondercraft_ai(09:53): Experts explore new mushroom which causes fairytale-like hallucinationsOriginal post: https://news.ycombinator.com/item?id=46393936&utm_source=wondercraft_ai(11:14): I'm a laptop weirdo and that's why I like my new Framework 13Original post: https://news.ycombinator.com/item?id=46391410&utm_source=wondercraft_ai(12:34): Rob Pike got spammed with an AI slop "act of kindness"Original post: https://news.ycombinator.com/item?id=46394867&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Original Release Date: November 19, 2025Our CIO and Chief U.S. Equity Strategist Mike Wilson explains why he continues to hold on to an out-of-consensus view of a growth positive 2026, despite near-term risks.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley's CIO and Chief U.S. Equity Strategist. Today I'll discuss our outlook for 2026 that we published earlier this week. It's Wednesday, Nov 19th at 6:30 am in New York. So, let's get after it. 2026 is a continuation of the story we have been telling for the past year. Looking back to a year ago, our U.S. equity outlook was for a challenging first half, followed by a strong second half. At the time of publication, this was an out of consensus stance. Many expected a strong first half, as President Trump took office for his second term. And then a more challenging second half due to the return of inflation. We based our differentiated view on the notion that policy sequencing in the new Trump administration would intentionally be growth negative to start. We likened the strategy to a new CEO choosing to ‘kitchen sink' the results in an effort to clear the decks for a new growth positive strategy. We thought that transition would come around mid-year. The U.S. economy had much less slack when President Trump took office the second time, compared to the first time he came into office. And this was the main reason we thought it was likely to be sequenced differently. Earnings revisions breadth and other cyclical indicators were also in a phase of deceleration at the end of 2024. In contrast, at the beginning of 2017—when we were out of consensus bullish—earnings revisions breadth and many cyclical gauges were starting to reaccelerate after the manufacturing and commodity downturn of 2015/2016. Looking back on this year, this cadence of policy sequencing did broadly play out—it just happened faster and more dramatically than we expected. Our views on the policy front still appear to be out of consensus. Many industry watchers are questioning whether policies enacted this year will ultimately lead to better growth going forward, especially for the average stock. From our perspective, the policy choices being made are growth positive for 2026 and are largely in line with our ‘run it hot' thesis. There's another factor embedded in our more constructive take. April marked the end of a rolling recession that began three years prior. The final stages were a recession in government thanks to DOGE, a rate of change trough in expectations around AI CapEx growth and trade policy, and a recession in consumer services that is still ongoing. In short, we believe a new bull market and rolling recovery began in April which means it's still early days, and not obvious—especially for many lagging parts of the economy and market. That is the opportunity. The missing ingredient for the typical broadening in stock performance that happens in a new business cycle is rate cuts. Normally, the Fed would have cut rates more in this type of weakening labor market. But due to the imbalances and distortions of the COVID cycle, we think the Fed is later than normal in easing policy, and that has held back the full rotation toward early cycle winners. Ironically, the government shutdown has weakened the economy further, but has also delayed Fed action due to the lack of labor data releases. This is a near-term risk to our bullish 12-month forecasts should delays in the data continue, or lagging labor releases do not corroborate the recent weakness in non-govt-related jobs data. In our view, this type of labor market weakness coupled with the administration's desire to ‘run it hot' means that, ultimately, the Fed is likely to deliver more dovish policy than the market currently expects. It's really just a question of timing. But that is a near-term risk for equity markets and why many stocks have been weaker recently. In short, we believe a new bull market began in April with the end of a rolling recession and bear market. Remember the S&P [500] was down 20 percent and the average S&P stock was down more than 30 percent into April. This narrative remains underappreciated, and we think there is significant upside in earnings over the next year as the recovery broadens and operating leverage returns with better volumes and pricing in many parts of the economy. Our forecasts reflect this upside to earnings which is another reason why many stocks are not as expensive as they appear despite our acknowledgement that some areas of the market may appear somewhat frothy. For the S&P 500, our 12-month target is now 7800 which assumes 17 percent earnings growth next year and a very modest contraction in valuation from today's levels. Our favorite sectors include Financials, Industrials, and Healthcare. We are also upgrading Consumer Discretionary to overweight and prefer Goods over Services for the first time since 2021. Another relative trade we like is Software over Semiconductors given the extreme relative underperformance of that pair and positioning at this point. Finally, we like small caps over large for the first time since March 2021, as the early cycle broadening in earnings combined with a more accommodative Fed provides the backdrop we have been patiently waiting for. We hope you enjoy our detailed report published earlier this week and find it helpful as you navigate a changing marketplace on many levels. Thanks for tuning in. Let us know what you think by leaving us a review. And if you find Thoughts on the Market worthwhile, tell a friend or colleague to try it out!

Plus: Nvidia and Coupang shares jump. And analysts say Samsung Electronics and SK Hynix could benefit from DRAM demand. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

BONUS: The Operating System for Software-Native Organizations - The Five Core Principles In this BONUS episode, the final installment of our Special Xmas 2025 reflection on Software-native businesses, we explore the five fundamental principles that form the operating system for software-native organizations. Building on the previous four episodes, this conversation provides the blueprint for building organizations that can adapt at the speed of modern business demands, where the average company lifespan on the S&P 500 has dropped from 33 years in the 1960s to a projected 12 years by 2027. The Challenge of Adaptation "What we're observing in Ukraine is adaptation happening at a speed that would have been unthinkable in traditional military contexts - new drone capabilities emerge, countermeasures appear within days, and those get countered within weeks." The opening draws a powerful parallel between the rapid adaptation we're witnessing in drone warfare and the existential threats facing modern businesses. While our businesses aren't facing literal warfare, they are confronting dramatic disruption. Clayton Christensen documented this in "The Innovator's Dilemma," but what he observed in the 1970s and 80s is happening exponentially faster now, with software as the accelerant. If we can improve businesses' chances of survival even by 10-15%, we're talking about thousands of companies that could thrive instead of fail, millions of jobs preserved, and enormous value created. The central question becomes: how do you build an organization that can adapt at this speed? Principle 1: Constant Experimentation with Tight Feedback Loops "Everything becomes an experiment. Not in the sense of being reckless or uncommitted, but in being clear about what we're testing and what we expect to learn. I call this: work like a scientist: learning is the goal." Software developers have practiced this for decades through Test-Driven Development, but now this TDD mindset is becoming the ruling metaphor for managing products and entire businesses. The practice involves framing every initiative with three clear elements: the goal (what are we trying to achieve?), the action (what specific thing will we do?), and the learning (what will we measure to know if it worked?). When a client says "we need to improve our retrospectives," software-native organizations don't just implement a new format. Instead, they connect it to business value - improving the NPS score for users of a specific feature by running focused retrospectives that explicitly target user pain points and tracking both the improvements implemented and the actual NPS impact. After two weeks, you know whether it worked. The experiment mindset means you're always learning, never stuck. This is TDD applied to organizational change, and it's powerful because every process change connects directly to customer outcomes. Principle 2: Clear Connection to Business Value "Software-native organizations don't measure success by tasks completed, story points delivered, or features shipped. Or even cycle time or throughput. They measure success by business outcomes achieved." While this seems obvious, most organizations still optimize for output, not outcomes. The practice uses Impact Mapping or similar outcome-focused frameworks where every initiative answers three questions: What business behavior are we trying to change? How will we measure that change? What's the minimum software needed to create that change? A financial services client wanted to "modernize their reporting system" - a 12-month initiative with dozens of features in project terms. Reframed through a business value lens, the goal became reducing time analysts spend preparing monthly reports from 80 hours to 20 hours, measured by tracking actual analyst time, starting with automating just the three most time-consuming report components. The first delivery reduced time to 50 hours - not perfect, but 30 hours saved, with clear learning about which parts of reporting actually mattered. The organization wasn't trying to fulfill requirements; they were laser focused on the business value that actually mattered. When you're connected to business value, you can adapt. When you're committed to a feature list, you're stuck. Principle 3: Software as Value Amplifier "Software isn't just 'something we do' or a support function. Software is an amplifier of your business model. If your business model generates $X of value per customer through manual processes, software should help you generate $10X or more." Before investing in software, ask whether this can amplify your business model by 10x or more - not 10% improvement, but 10x. That's the threshold where software's unique properties (zero marginal cost, infinite scale, instant distribution) actually matter, and where the cost/value curve starts to invert. Remember: software is still the slowest and most expensive way to check if a feature would deliver value, so you better have a 10x or more expectation of return. Stripe exemplifies this principle perfectly. Before Stripe, accepting payments online required a merchant account (weeks to set up), integration with payment gateways (months of development), and PCI compliance (expensive and complex). Stripe reduced that to adding seven lines of code - not 10% easier, but 100x easier. This enabled an entire generation of internet businesses that couldn't have existed otherwise: subscription services, marketplaces, on-demand platforms. That's software as amplifier. It didn't optimize the old model; it made new models possible. If your software initiatives are about 5-10% improvements, ask yourself: is software the right medium for this problem, or should you focus where software can create genuine amplification? Principle 4: Software as Strategic Advantage "Software-native organizations use software for strategic advantage and competitive differentiation, not just optimization, automation, or cost reduction. This means treating software development as part of your very strategy, not a way to implement a strategy that is separate from the software." This concept, discussed with Tom Gilb and Simon Holzapfel on the podcast as "continuous strategy," means that instead of creating a strategy every few years and deploying it like a project, strategy and execution are continuously intertwined when it comes to software delivery. The practice involves organizing around competitive capabilities that software uniquely enables by asking: How can software 10x the value we generate right now? What can we do with software that competitors can't easily replicate? Where does software create a defensible advantage? How does our software create compounding value over time? Amazon Web Services didn't start as a product strategy but emerged from Amazon building internal capabilities to run their e-commerce platform at scale. They realized they'd built infrastructure that was extremely hard to replicate and asked: "What if we offered it to others?" AWS became Amazon's most profitable business - not because they optimized their existing retail business, but because they turned an internal capability into a strategic platform. The software wasn't supporting the strategy - the software became the strategy. Compare this to companies that use software just for cost reduction or process optimization - they're playing defense. Software-native companies use software to play offense, creating capabilities that change the competitive landscape. Continuous strategy means your software capabilities and your business strategy evolve together, in real-time, not in annual planning cycles. Principle 5: Real-Time Observability and Adaptive Systems "Software-native organizations use telemetry and real-time analytics not just to understand their software, but to understand their entire business and adapt dynamically. Observability practices from DevOps are actually ways of managing software delivery itself. We're bootstrapping our own operating system for software businesses." This principle connects back to Principle 1 but takes it to the organizational level. The practice involves building systems that constantly sense what's happening and can adapt in real-time: deploy with feature flags so you can turn capabilities on/off instantly, use A/B testing not just for UI tweaks but for business model experiments, instrument everything so you know how users actually behave, and build feedback loops that let the system respond automatically. Social media companies and algorithmic trading firms already operate this way. Instagram doesn't deploy a new feed algorithm and wait six months to see if it works - they're constantly testing variations, measuring engagement in real-time, adapting the algorithm continuously. The system is sensing and responding every second. High-frequency trading firms make thousands of micro-adjustments per day based on market signals. Imagine applying this to all businesses: a retail company that adjusts pricing, inventory, and promotions in real-time based on demand signals; a healthcare system that dynamically reallocates resources based on patient flow patterns; a logistics company whose routing algorithms adapt to traffic, weather, and delivery success rates continuously. This is the future of software-native organizations - not just fast decision-making, but systems that sense and adapt at software speed, with humans setting goals and constraints but software executing continuous optimization. We're moving from "make a decision, deploy it, wait to see results" to "deploy multiple variants, measure continuously, let the system learn." This closes the loop back to Principle 1 - everything is an experiment, but now the experiments run automatically at scale with near real-time signal collection and decision making. It's Experiments All The Way Down "We established that software has become societal infrastructure. That software is different - it's not a construction project with a fixed endpoint; it's a living capability that evolves with the business." This five-episode series has built a complete picture: Episode 1 established that software is societal infrastructure and fundamentally different from traditional construction. Episode 2 diagnosed the problem - project management thinking treats software like building a bridge, creating cascade failures throughout organizations. Episode 3 showed that solutions already exist, with organizations like Spotify, Amazon, and Etsy practicing software-native development successfully. Episode 4 exposed the organizational immune system - the four barriers preventing transformation: the project mindset, funding models, business/IT separation, and risk management theater. Today's episode provides the blueprint - the five principles forming the operating system for software-native organizations. This isn't theory. This is how software-native organizations already operate. The question isn't whether this works - we know it does. The question is: how do you get started? The Next Step In Building A Software-Native Organization "This is how transformation starts - not with grand pronouncements or massive reorganizations, but with conversations and small experiments that compound over time. Software is too important to society to keep managing it wrong." Start this week by doing two things.  First, start a conversation: pick one of these five principles - whichever resonates most with your current challenges - and share it with your team or leadership. Don't present it as "here's what we should do" but as "here's an interesting idea - what would this mean for us?" That conversation will reveal where you are, what's blocking you, and what might be possible.  Second, run one small experiment: take something you're currently doing and frame it as an experiment with a clear goal, action, and learning measure. Make it small, make it fast - one week maximum, 24 hours if you can - then stop and learn. You now have the blueprint. You understand the barriers. You've seen the alternatives. The transformation is possible, and it starts with you. Recommended Further Reading Tom Gilb and Simon Holzapfel episodes on continuous strategy  The book by Christensen, Clayton: "The Innovator's Dilemma"  The book by Gojko Adzic: Impact Mapping  Ukraine drone warfare Company lifespan statistics: Innosight research on S&P 500 turnover  Stripe's impact on internet businesses Amazon AWS origin story DevOps observability practices About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

- letter from keonne https://www.therage.co/letter-1-keonne-rodriguez/ - local freak oslo https://primal.net/e/nevent1qqs9yww4rvz8vqf5s6ps69wkyk8pqf5m7pjyykm0edmckx90y0035eq5lejqg - silver squeeze? https://x.com/BullTheoryio/status/2004567040389198060 - United Arab Emirates | CBDC Rolls Out as “Free” Amid Expanding Financial Surveillance The United Arab Emirates' central bank announced that the first phase of its Digital Dirham central bank digital currency (CBDC) will be offered free to users and small businesses, framing the rollout as a cost-saving upgrade to payments. But “free” at launch does not mean neutral. As a direct central bank liability, the Digital Dirham gives the state full visibility into transactions and the power to impose future fees, conditions, or negative interest rates once adoption is established. The news follows the UAE's first state-to-state CBDC transaction conducted via the multi-CBDC mBridge platform, which links the UAE with China and other authoritarian states in a shared, programmable settlement system. FinancialFreedomReport.org - zeus v0.12.0 https://primal.net/e/nevent1qqs08j4ju90a4zx8qlnuztuyjel4gxk6tw3zacwrgyuw3x287z73y3qx8u32u - zap store v1.0 https://primal.net/e/nevent1qqs8amepcej6w806da4z0ztrq03zdsnr5x6r4nphexnf39nax0wz2kqlmne06 - bitcoin optech year in review https://x.com/bitcoinoptech/status/2002038834003902502 - venezuela drone concern https://medium.com/@mcnai002/the-venezuelan-drone-crisis-313dad18497d - chinese cargo ship convert https://x.com/rickjoe_pla/status/2004128671645458617 - trump fusion - glyohosates https://x.com/wallstreetmav/status/2002253288495022376 3:59 – Merry Christmas, Silver squeeze 18:26 – Oslo airport bitcoin 20:44 – Dashboard 22:44 – Free Samourai 24:44 – Heatpunks 25:59 – HRF Story of the Week 27:59 – EU censoring US 31:59 – Chats and boosts 35:34 – Software updates 38:24 – Venezuelan drone crisis 47:19 – Epstein files 52:59 – Glyphosates 1:13:29 – 2026 predictions Shoutout to our sponsors: Coinkite https://coinkite.com/ Stakwork https://stakwork.ai/ Obscura https://obscura.net/ Salt of the Earth https://drinksote.com/rhr Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/marty Newsletter https://tftc.io/martys-bent/ Podcast https://tftc.io/podcasts/ Follow Odell: Nostr https://primal.net/odell Newsletter https://discreetlog.com/ Podcast https://citadeldispatch.com/

In this conversation, Riley Holt, a property manager and founder of Property Lens, discusses his journey into property management and the development of a rental inspection software designed to streamline the inspection process for landlords and tenants. He highlights the challenges of traditional inspection methods and how his app addresses these issues by providing a user-friendly platform for documenting property conditions. The discussion also touches on the future of real estate technology, the integration of AI, and advice for aspiring property managers.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

For this week's holiday-inspired Complex Systems, Patrick reads his essay from Bits about Money on the gift card paradox: a legitimate payments rail, yet also a primary vector for fraud that leaves victims without recourse.–Full transcript available here: www.complexsystemspodcast.com/gift-cards-and-the-fraud-supply-chain/–Sponsors: Givewell & Framer Support proven charities that deliver measurable results and learn how to maximize your charitable impact with GiveWell. Go to givewell.org, pick “Podcast” and enter Complex Systems at checkout.Framer is a design and publishing platform that collapses the toolchain between wireframes and production-ready websites. Design, iterate, and publish in one workspace. Start free at framer.com/design with code COMPLEXSYSTEMS for a free month of Framer Pro.–Links:Bits about Money, Gift cards accountability sink https://www.bitsaboutmoney.com/archive/gift-card-accountability-sink/Global China Puise, Moving Bricks https://globalchinapulse.net/moving-bricks-money-laundering-practices-in-the-online-scam-industry/ –Timestamps:(00:00) Intro(04:02) Most businesses do not run their own gift card programs(06:40) Sponsors: Givewell and Framer(09:00) Most businesses do not run their own gift card programs (part 2)(10:27) Gift cards are not regulated like other electronic payments instruments(12:07) Why do we choose this difference in regulation?

This is a recap of the top 10 posts on Hacker News on December 25, 2025. This podcast was generated by wondercraft.ai (00:30): We invited a man into our home at Christmas and he stayed with us for 45 yearsOriginal post: https://news.ycombinator.com/item?id=46383552&utm_source=wondercraft_ai(01:52): Ruby 4.0.0Original post: https://news.ycombinator.com/item?id=46382011&utm_source=wondercraft_ai(03:14): Alzheimer's disease can be reversed in animal models? StudyOriginal post: https://news.ycombinator.com/item?id=46384919&utm_source=wondercraft_ai(04:36): I sell onions on the Internet (2019)Original post: https://news.ycombinator.com/item?id=46385308&utm_source=wondercraft_ai(05:58): Maybe the default settings are too highOriginal post: https://news.ycombinator.com/item?id=46387657&utm_source=wondercraft_ai(07:20): Mattermost restricted access to old messages after 10000 limit is reachedOriginal post: https://news.ycombinator.com/item?id=46383675&utm_source=wondercraft_ai(08:42): Python 3.15's interpreter for Windows x86-64 should hopefully be 15% fasterOriginal post: https://news.ycombinator.com/item?id=46384167&utm_source=wondercraft_ai(10:04): Who Watches the Waymos? I do [video]Original post: https://news.ycombinator.com/item?id=46380758&utm_source=wondercraft_ai(11:26): Asahi Linux with Sway on the MacBook Air M2 (2024)Original post: https://news.ycombinator.com/item?id=46384565&utm_source=wondercraft_ai(12:48): Free Software Foundation receives historic private donationsOriginal post: https://news.ycombinator.com/item?id=46382134&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

A guest episode from Famous & Gravy. On each episode, host Michael Osborne and guests look at the life of a famous dead celebrity and ask themselves if it's a life they would've wanted. The show gets into all sorts of things you will not in that person's official obituary or biography. I'm a fan. Here's how they describe today's episode:This person died 2011, age of 56. He dropped out of Reed College in 1972 and once said that taking LSD was among the most important things he ever did. In the early years of his career, his obsession with detail drove colleagues crazy, but later he inspired extraordinary loyalty. In the 1990s he bought a small computer graphics spinoff from George Lucas and built it into Pixar. He told the world he would step down as Apple's CEO if he could no longer meet expectations — and then he did. Today's dead celebrity is Steve Jobs.Subscribe to Famous & Gravy in all your favorite podcast apps and at famousandgravy.com---And if you please…Subscribe to the CRAFTED. newsletter: crafted.fmShare with a friend! Word of mouth is by far the most powerful way for podcasts to growSponsor the show? I'm actively speaking to potential sponsors for 2026 episodes. Drop me a line and let's talk.Get psyched!… There are some big updates to this show coming in January

AI is moving into the physical economy.In this episode of Big Ideas 2026, we explore what changes when AI leaves the screen and becomes part of factories, construction sites, supply chains, and critical infrastructure. When the product is physical, reliability matters, real-world constraints appear quickly, and the advantage shifts from standalone software to end-to-end systems.You will hear from Erin Price-Wright on factory-first principles, Ryan McEntush on the electro-industrial stack, Zabie Elmgren on physical observability, and Will Bitsky on why data, not compute, determines who wins.Together, these ideas define what physical AI really means: not smarter chat, but deployable systems built for the real world, grounded in new operating models, industrial infrastructure, and defensible data collection. Resources:Follow Ryan McEntush on X: https://x.com/rmcentushFollow Erin Price-Wright on X: https://x.com/espricewrightFollow Zabie Elmgren on X: https://x.com/zabie_eFollow Will Bitsky on X: https://x.com/willbitskyRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send Bidemi a Text Message!In this episode, host Bidemi Ologunde spoke with Ivan Gekht, CEO of Gehtsoft, a family-run software company with over 20 years of Agile R&D experience. They explored Ivan's journey from Siberia to building a team that tackles “impossible” business challenges with science, adaptability, and integrity. How can Agile methods truly reduce project risk instead of becoming just another buzzword? What does it take to build healthier, more productive relationships with technology—both for teams and end users? And how can tech companies meaningfully support minority-, women-, and veteran-owned businesses while still innovating and scaling?Support for The Bid Picture Podcast comes from Skylight Calendar—the family-friendly digital calendar that helps everyone stay on the same page. With a quick setup and an easy-to-read display in a shared space, Skylight makes it simple to keep track of school events, practices, appointments, and family plans—so mornings run smoother and everyone knows what's next. Make your home the place where schedules finally make sense. Skylight Calendar—because family life works better when it's shared. Learn more at myskylight.com.Support for The Bid Picture Podcast comes from Black Rifle Coffee Company, a veteran-founded coffee brand roasting premium beans for people who love a strong start to the day. From bold blends to convenient ready-to-drink cans, Black Rifle Coffee keeps you fueled for whatever's ahead. Check them out at blackriflecoffee.com.Support the show

BONUS: Breaking Through The Organizational Immune System - Why Software-Native Organizations Are Still Rare With Vasco Duarte In this BONUS episode, we explore the organizational barriers that prevent companies from becoming truly software-native. Despite having proof that agile, iterative approaches work at scale—from Spotify to Amazon to Etsy—most organizations still struggle to adopt these practices. We reveal the root cause behind this resistance and expose four critical barriers that form what we call "The Organizational Immune System." This isn't about resistance to change; it's about embedded structures, incentives, and mental models that actively reject beneficial transformation. The Root Cause: Project Management as an Incompatible Mindset "Project management as a mental model is fundamentally incompatible with software development. And will continue to be, because 'project management' as an art needs to support industries that are not software-native." The fundamental problem isn't about tools or practices—it's about how we think about work itself. Project management operates on assumptions that simply don't hold true for software development. It assumes you can know the scope upfront, plan everything in advance, and execute according to that plan. But software is fundamentally different. A significant portion of the work only becomes visible once you start building. You discover that the "simple" feature requires refactoring three other systems. You learn that users actually need something different than what they asked for. This isn't poor planning—it's the nature of software. Project management treats discovery as failure ("we missed requirements"), while software-native thinking treats discovery as progress ("we learned something critical"). As Vasco points out in his NoEstimates work, what project management calls "scope creep" should really be labeled "value discovery" in software—because we're discovering more value to add. Discovery vs. Execution: Why Software Needs Different Success Metrics "Software hypotheses need to be tested in hours or days, not weeks, and certainly not months. You can't wait until the end of a 12-month project to find out your core assumption was wrong." The timing mismatch between project management and software development creates fundamental problems. Project management optimizes for plan execution with feedback loops that are months or years long, with clear distinctions between teams doing requirements, design, building, and testing. But software needs to probe and validate assumptions in hours or days. Questions like "Will users actually use this feature?" or "Does this architecture handle the load?" can't wait for the end of a 12-month project. When we finally discover our core assumption was wrong, we need to fully replan—not just "change the plan." Software-native organizations optimize for learning speed, while project management optimizes for plan adherence. These are opposing and mutually exclusive definitions of success. The Language Gap: Why Software Needs Its Own Vocabulary "When you force software into project management language, you lose the ability to manage what actually matters. You end up tracking task completion while missing that you're building the wrong thing." The vocabulary we use shapes how we think about problems and solutions. Project management talks about tasks, milestones, percent complete, resource allocation, and critical path. Software needs to talk about user value, technical debt, architectural runway, learning velocity, deployment frequency, and lead time. These aren't just different words—they represent fundamentally different ways of thinking about work. When organizations force software teams to speak in project management terms, they lose the ability to discuss and manage what actually creates value in software development. The Scholarship Crisis: An Industry-Wide Knowledge Gap "Agile software development represents the first worldwide trend in scholarship around software delivery. But most organizational investment still goes into project management scholarship and training." There's extensive scholarship in IT, but almost none about delivery processes until recently. The agile movement represents the first major wave of people studying what actually works for building software, rather than adapting thinking from manufacturing or construction. Yet most organizational investment continues to flow into project management certifications like PMI and Prince2, and traditional MBA programs—all teaching an approach with fundamental problems when applied to software. This creates an industry-wide challenge: when CFOs, executives, and business partners all think in project management terms, they literally cannot understand why software needs to work differently. The mental model mismatch isn't just a team problem—it's affecting everyone in the organization and the broader industry. Budget Cycles: The Project Funding Trap "You commit to a scope at the start, when you know the least about what you need to build. The budget runs out exactly when you're starting to understand what users actually need." Project thinking drives project funding: organizations approve a fixed budget (say $2M over 9 months) to deliver specific features. This seems rational and gives finance predictability, but it's completely misaligned with how software creates value. Teams commit to scope when they know the least about what needs building. The budget expires just when they're starting to understand what users actually need. When the "project" ends, the team disbands, taking all their accumulated knowledge with them. Next year, the cycle starts over with a new project, new team, and zero retained context. Meanwhile, the software itself needs continuous evolution, but the funding structure treats it as a series of temporary initiatives with hard stops. The Alternative: Incremental Funding and Real-Time Signals "Instead of approving $2M for 9 months, approve smaller increments—maybe $200K for 6 weeks. Then decide whether to continue based on what you've learned." Software-native organizations fund teams working on products, not projects. This means incremental funding decisions based on learning rather than upfront commitments. Instead of detailed estimates that pretend to predict the future, they use lightweight signals from the NoEstimates approach to detect problems early: Are we delivering value regularly? Are we learning? Are users responding positively? These signals provide more useful information than any Gantt chart. Portfolio managers shift from being "task police" asking "are you on schedule?" to investment curators asking "are we seeing the value we expected? Should we invest more, pivot, or stop?" This mirrors how venture capital works—and software is inherently more like VC than construction. Amazon exemplifies this approach, giving teams continuous funding as long as they're delivering value and learning, with no arbitrary end date to the investment. The Business/IT Separation: A Structural Disaster "'The business' doesn't understand software—and often doesn't want to. They think in terms of features and deadlines, not capabilities and evolution." Project thinking reinforces organizational separation: "the business" defines requirements, "IT" implements them, and project managers coordinate the handoff. This seems logical with clear specialization and defined responsibilities. But it creates a disaster. The business writes requirements documents without understanding what's technically possible or what users actually need. IT receives them, estimates, and builds—but the requirements are usually wrong. By the time IT delivers, the business need has changed, or the software works but doesn't solve the real problem. Sometimes worst of all, it works exactly as specified but nobody wants it. This isn't a communication problem—it's a structural problem created by project thinking. Product Thinking: Starting with Behavior Change "Instead of 'build a new reporting dashboard,' the goal is 'reduce time finance team spends preparing monthly reports from 40 hours to 4 hours.'" Software-native organizations eliminate the business/IT separation by creating product teams focused on outcomes. Using approaches like Impact Mapping, they start with behavior change instead of features. The goal becomes a measurable change in business behavior or performance, not a list of requirements. Teams measure business outcomes, not task completion—tracking whether finance actually spends less time on reports. If the first version doesn't achieve that outcome, they iterate. The "requirement" isn't sacred; the outcome is. "Business" and "IT" collaborate on goals rather than handing off requirements. They're on the same team, working toward the same measurable outcome with no walls to throw things over. Spotify's squad model popularized this approach, with each squad including product managers, designers, and engineers all focused on the same part of the product, all owning the outcome together. Risk Management Theater: The Appearance of Control "Here's the real risk in software: delivering software that nobody wants, and having to maintain it forever." Project thinking creates elaborate risk management processes—steering committees, gate reviews, sign-offs, extensive documentation, and governance frameworks. These create the appearance of managing risk and make everyone feel professional and in control. But paradoxically, the very practices meant to manage risk end up increasing the risk of catastrophic failure. This mirrors Chesterton's Fence paradox. The real risk in software isn't about following the plan—it's delivering software nobody wants and having to maintain it forever. Every line of code becomes a maintenance burden. If it's not delivering value, you're paying the cost forever or paying additional cost to remove it later. Traditional risk management theater doesn't protect against this at all. Gates and approvals just slow you down without validating whether users will actually use what you're building or whether the software creates business value. Agile as Risk Management: Fast Learning Loops "Software-native organizations don't see 'governance' and 'agility' as a tradeoff. Agility IS governance. Fast learning loops ARE how you manage risk." Software-native organizations recognize that agile and product thinking ARE risk management. The fastest way to reduce risk is delivering quickly—getting software in front of real users in production with real data solving real problems, not in demos or staging environments. Teams validate expected value by measuring whether software achieves intended outcomes. Did finance really reduce their reporting time? Did users actually engage with the feature? When something isn't working, teams change it quickly. When it is working, they double down. Either way, they're managing risk through rapid learning. Eric Ries's Lean Startup methodology isn't just for startups—it's fundamentally a software-native management practice. Build-Measure-Learn isn't a nice-to-have; it's how you avoid the catastrophic risk of building the wrong thing. The Risk Management Contrast: Theater vs. Reality "Which approach actually manages risk? The second one validates assumptions quickly and cheaply. The first one maximizes your exposure to building the wrong thing." The contrast between approaches is stark. Risk management theater involves six months of requirements gathering and design, multiple approval gates that claim to prevent risk but actually accumulate it, comprehensive test plans, and a big-bang launch after 12 months. Teams then discover users don't want it—and now they're maintaining unwanted software forever. The agile risk management approach takes two weeks to build a minimal viable feature, ships to a subset of users, measures actual behavior, learns it's not quite right, iterates in another two weeks, validates value before scaling, and only maintains software that's proven valuable. The second approach validates assumptions quickly and cheaply. The first maximizes exposure to building the wrong thing. The Immune System in Action: How Barriers Reinforce Each Other "When you try to 'implement agile' without addressing these structural barriers, the organization's immune system rejects it. Teams might adopt standups and sprints, but nothing fundamental changes." These barriers work together as an immune system defending the status quo. It starts with the project management mindset—the fundamental belief that software is like construction, that we can plan it all upfront, that "done" is a meaningful state. That mindset creates funding models that allocate budgets to temporary projects instead of continuous products, organizational structures that separate "business" from "IT" and treat software as a cost center, and risk management theater that optimizes for appearing in control rather than actually learning. Each barrier reinforces the others. The funding model makes it hard to keep stable product teams. The business/IT separation makes it hard to validate value quickly. The risk theater slows down learning loops. The whole system resists change—even beneficial change—because each part depends on the others. This is why so many "agile transformations" fail: they treat the symptoms (team practices) without addressing the disease (organizational structures built on project thinking). Breaking Free: Seeing the System Clearly "Once you see the system clearly, you can transform it. You now know the root cause, how it manifests, and what the alternatives look like." Understanding these barriers is empowering. It's not that people are stupid or resistant to change—organizations have structural barriers built on a fundamental mental model mismatch. But once you see the system clearly, transformation becomes possible. You now understand the root cause (project management mindset), how it manifests in your organization (funding models, business/IT separation, risk theater), and what the alternatives look like through real examples from companies successfully operating as software-native organizations. The path forward requires addressing the disease, not just the symptoms—transforming the fundamental structures and mental models that shape how your organization approaches software. Recommended Further Reading Vasco's article on 5 examples of software disasters that show we are in the middle of another software crisis NoEstimates movement: Vasco Duarte's work and book Impact Mapping: Gojko Adzic's framework Lean Startup: Eric Ries, "The Lean Startup" Outcome-based funding model Spotify squad model: Henrik Kniberg's materials Chesterton's fence paradox About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

Upwrapping OpenZFS gifs, Propolice the OpenBSD Stack Protector, refreshing zpools, and the FreeBSD 15.0 release. NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines Unwrapping ZFS: Gifts from the Open Source Community (https://klarasystems.com/articles/zfs-community-contributions-2025/?utm_source=BSD%20Now&utm_medium=Podcast) Who wins when we filter the open web through an opaque system? (https://hidde.blog/filtered-open-web/) News Roundup We can't fund our way out of the free and open source maintenance problem (https://utcc.utoronto.ca/~cks/space/blog/tech/OpenSourceFundingNotSolution) The story of Propolice, the OpenBSD stack protector (https://www.undeadly.org/cgi?action=article;sid=20251212094310) Copying everything off a zpool, destroying it, creating a new one, and copying everything back (https://dan.langille.org/2025/12/11/copying-everything-off-a-zpool-destroying-it-creating-a-new-one-and-copying-everything-back/) All aboard the 15.0-RELEASE train! (https://vulcanridr.mataroa.blog/blog/all-aboard-the-150-release-train/) Beastie Bits Running A PDP-8 From 1965 (https://www.youtube.com/watch?v=S2r_GujSc6w) The library of time (https://libraryoftime.xyz) OPNsense 25.7.9 released (https://forum.opnsense.org/index.php?topic=49986.0) - OPNsense 25.10.1 business edition released (https://forum.opnsense.org/index.php?topic=50052.0) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Martin - recordings (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/643/feedback/Martin%20-%20recording%20of%20bsdnow.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) Join us and other BSD Fans in our BSD Now Telegram channel (https://t.me/bsdnow)

Alicia runs through the latest QuickBooks Online updates rolling out this holiday season, from enhanced client request routing in the banking feed to the completely redesigned sales tax center. She covers new time tracking integrations, the text-based payroll agent, modern report improvements, and explains why toggling that sales tax checkbox doesn't actually change product taxability—a common source of reporting discrepancies that trips up many users.SponsorsDigits - https://uqb.promo/digits(00:00) - Welcome to the Christmas Edition (00:59) - QuickBooks Online: New Features and Improvements (01:41) - Account and Settings Updates (02:47) - Banking Feed Enhancements (04:55) - QuickBooks Time Integration (07:04) - Sales Tax Center (17:05) - Modern Reports: New Features (21:03) - Backup and Restore Utility (23:44) - Payroll Agent and Time Tracking (26:25) - Upcoming Classes and Final Thoughts LINKSAlicia's QBO classes related to this episode:Bank Transactions Feed: http://royl.ws/QuickBooks-Online-Banking?affiliate=5393907Sales Tax: http://royl.ws/SalesTax?affiliate=5393907QBO Advanced: http://royl.ws/QBO-Advanced?affiliate=5393907QBO Payroll and QB Time: http://royl.ws/payroll-perfection?affiliate=5393907Alicia's Running Reports for Advisory class: http://royl.ws/Reports?affiliate=5393907Alicia's Advanced Reporting class: http://royl.ws/advanced-reports?affiliate=5393907Rewind for backups: http://royl.ws/RewindAlicia's upcoming classes: 1099s in QBO, Jan 6: http://royl.ws/QBO1099?affiliate=5393907QBO Year-end Cleanup for Taxes, Jan 13: http://royl.ws/yearend?affiliate=5393907We want to hear from you!Send your questions and comments to us at unofficialquickbookspodcast@gmail.com.Join our LinkedIn community at https://www.linkedin.com/groups/14630719/Visit our YouTube Channel at https://www.youtube.com/@UnofficialQuickBooksPodcast?sub_confirmation=1 Sign up to Earmark to earn free CPE for listening to this podcasthttps://www.earmark.app/onboarding 

This is a recap of the top 10 posts on Hacker News on December 24, 2025. This podcast was generated by wondercraft.ai (00:30): Tell HN: Merry ChristmasOriginal post: https://news.ycombinator.com/item?id=46380168&utm_source=wondercraft_ai(01:51): Unifi Travel RouterOriginal post: https://news.ycombinator.com/item?id=46371135&utm_source=wondercraft_ai(03:12): Nvidia buying AI chip startup Groq for about $20B in cashOriginal post: https://news.ycombinator.com/item?id=46379183&utm_source=wondercraft_ai(04:34): Phoenix: A modern X server written from scratch in ZigOriginal post: https://news.ycombinator.com/item?id=46380075&utm_source=wondercraft_ai(05:55): Show HN: Minimalist editor that lives in browser, stores everything in the URLOriginal post: https://news.ycombinator.com/item?id=46378554&utm_source=wondercraft_ai(07:17): Show HN: Vibium – Browser automation for AI and humans, by Selenium's creatorOriginal post: https://news.ycombinator.com/item?id=46377597&utm_source=wondercraft_ai(08:38): Fabrice Bellard: Biography (2009) [pdf]Original post: https://news.ycombinator.com/item?id=46377862&utm_source=wondercraft_ai(09:59): When Compilers Surprise YouOriginal post: https://news.ycombinator.com/item?id=46375384&utm_source=wondercraft_ai(11:21): Don't Become the MachineOriginal post: https://news.ycombinator.com/item?id=46372153&utm_source=wondercraft_ai(12:42): Nabokov's guide to foreigners learning RussianOriginal post: https://news.ycombinator.com/item?id=46371423&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Paperwork is still a headache for many agricultural producers.

In this insightful episode of Hustle & Flowchart, Joe Fier recaps the top episodes of 2025—including Jacob Gooden, Justin Abrams, Scott Duffy, Matt Wolfe, and Joe Stolte—to break down the key mindsets and strategies shaping the future for creators, entrepreneurs, and business owners. From embracing imperfection when starting out, to making luck work in your favor, training your own digital mind with AI, and confronting the future of software, this episode delivers practical wisdom you can use right away. Dive into candid stories, actionable advice, and forward-thinking perspectives to build a more resilient life and business.Topics DiscussedStarting Ugly vs. Waiting for Perfection: Jacob Gooden shares why jumping in and creating—even imperfectly—is more important than ever, and the power of intentionality behind launching your podcast or content.Finding Your Format & Intentionality: The process of finding the right medium for your message (podcast, blog, YouTube, TikTok) and the importance of defining your ‘why' before you start.Navigating Opportunity and Burnout: Insights from Justin Abrams on increasing your surface area for luck in a tough economy—whether you're just starting out or an experienced professional.Demonstrating Employability: Why getting a job (even if it's not perfect) builds skills, networks, and resilience.AI in Entrepreneurship: How building your own "digital mind" with AI tools can free up your time, scale your impact, and create new business models.AI Taking Your Job—A Blessing in Disguise?: Matt Wolfe presents a controversial take on why AI replacing unfulfilling jobs could open doors to more meaningful work.The Future of Software & AI-to-AI Marketing: Exploring the coming revolution where software morphs into personalized AI tools, and marketing becomes “AI matching AI” for optimum results.Episodes FeaturedJacob Gooden: https://youtu.be/-XuMp_MLS1UJustin Abrams: https://youtu.be/f24mAbJX-90Scott Duffy: https://youtu.be/X5YFv-gN2CIMatt Wolfe: https://youtu.be/Aa39C3_U-qEJoe Stolte: https://youtu.be/vxjG5yOH2EQConnect with UsChat with Joe's AI Clone: https://hustleandflowchart.com/aijoeNewsletter: https://hustleandflowchart.com/subscribePodcast: https://hustleandflowchart.com/LinkedIn: https://www.linkedin.com/in/joefier/Instagram: https://www.instagram.com/joefier/If you're ready to embrace imperfection, build your surface area for luck, and leverage AI for lasting success—don't

Xmas Special: Recovering the Essence of Agile - What's Already Working in Software-Native Organizations In this BONUS Xmas Special episode, we explore what happens when we strip away the certifications and branded frameworks to recover the essential practices that make software development work. Building on Episode 2's exploration of the Project Management Trap, Vasco reveals how the core insights that sparked the Agile revolution remain valid - and how real organizations like Spotify, Amazon, and Etsy embody these principles to thrive in today's software-driven world. The answer isn't to invent something new; it's to amplify what's already working. Agile as an Idea, Not a Brand "The script (sold as the solution) will eventually kill the possibility of the conversation ever happening with any quality." We establish a parallel between good conversations and good software development. Just as creating "The Certified Conversational Method™" with prescribed frameworks and certification levels would miss the point of genuine dialogue, the commodification of agile into Agile™ has obscured its essential truth. The core idea was simple and powerful: build software in small increments, get it in front of real users quickly, learn from their actual behavior, adapt based on what you learn, and repeat continuously. This wasn't revolutionary - it was finally recognizing how software actually works. You can't know if your hypothesis about user needs is correct until users interact with it, so optimize for learning speed, not planning precision. But when the need to certify and validate "doing Agile right" took over, the idea got packaged, and often the package became more important than the principle. Four Fundamental Practices That Enable Living Software "Every deployment was a chance to see how users actually responded." Software-native organizations distinguish themselves through core practices that align with software as a living capability. In this episode, we review four critical ones: First, iterative delivery means shipping the smallest valuable increment possible and building on it - Etsy's transformation from quarterly releases in 2009 to shipping 50+ times per day by 2012 exemplifies this approach, where each small change serves as a learning opportunity. Second, tight feedback loops get software in front of real users as fast as possible, whether through paper prototypes or production deployments. Third, continuous improvement of the process itself creates meta-feedback loops, as demonstrated by Amazon's "You Build It, You Run It" principle introduced by Werner Vogels in 2006, where development teams running their own services in production learn rapidly to write more resilient code. Fourth, product thinking over project thinking organizes teams around long-lived products rather than temporary projects, allowing teams to develop deep expertise and become living capabilities themselves, accumulating knowledge and improving over time. Spotify's Evolutionary Approach "The Spotify model has nothing to do with Spotify really. It was just a snapshot of how that one company worked at the time." Spotify's journey reveals a critical insight often missed in discussions of their famous organizational model. Starting with standard Scrum methodology pre-2012, they adopted the squad model around 2012 with autonomous teams organized into tribes, documented in Henrik Kniberg and Anders Ivarsson's influential white paper (direct PDF link). But post-2016, internal staff and agile coaches noted that the "Spotify model" had become mythology, and the company had moved on from original concepts to address new challenges. As Kniberg himself later reflected, the model has taken on a life of its own, much like Lean's relationship to Toyota. The key insight isn't the specific structure - it's that Spotify treated their own organizational design as a living capability, continuously adapting based on what worked and what didn't rather than implementing "the model" and declaring victory. That's software-native thinking applied to organization design itself. Amazon's Two-Pizza Teams and Massive Scale "Amazon deploys code every 11.7 seconds on average. That's over 7,000 deployments per day across the organization." (see this YouTube video of this talk) Amazon's two-pizza team principle goes far deeper than team size. Teams small enough to be fed with two pizzas (roughly 6-10 people) gain crucial autonomy and ownership: each team owns specific services and APIs, makes their own technical decisions, runs their services in production, and manages inter-team dependencies through APIs rather than meetings. This structure enabled Amazon to scale massively while maintaining speed, as teams could iterate independently without coordinating with dozens of other teams. The staggering deployment frequency - over 7,000 times per day as of 2021 - is only possible with a software-native structure for the company itself, demonstrating that this isn't just about managing software delivery but touches everything, including how teams are organized. Why These Practices Work "These practices work because they align with what software actually is: a living, evolvable capability." The effectiveness of software-native approaches stems from their alignment with software's true nature. Traditional project approaches assume we can know requirements upfront, estimate accurately, build it right the first time, and reach a meaningful "done" state. Software-native approaches recognize that requirements emerge through interaction with users, estimation is less important than rapid learning, "right" is discovered iteratively rather than designed upfront, and "done" only happens when we stop evolving the software. When Etsy ships 50 times per day, they're optimizing for learning where each deployment is a hypothesis test. When Amazon's teams own services end-to-end, they're creating tight feedback loops where teams feel the pain of their own decisions directly. When Spotify continuously evolves their organizational model, they're treating their own structure as software that should adapt to changing needs. The Incomplete Picture and the Question of Universal Adoption "If these approaches work, why aren't they universal?" We're not trying to paint a unrealistically rosy picture - these organizations aren't perfect. Spotify has had well-documented challenges with their model, Amazon's culture has been criticized as demanding and sometimes brutal, and Etsy has gone through multiple strategic shifts. But what matters is that they're practicing software-native development at scale, and it's working well enough that they can compete and thrive. They're not following a playbook perfectly but embodying principles and adapting continuously. This raises the critical question that will be explored in the next episode: if these approaches work, why do so many organizations still operate in project mode, and why do "agile transformations" so often fail to deliver real change? Understanding the resistance - what we call The Organizational Immune System - is essential to overcoming it. References for Further Reading A book on the shift from "projects" to "products": "Project to Product" by Mik Kersten About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success.  You can link with Vasco Duarte on LinkedIn.

Send us a textThank you, Sabina Nawaz, for helping me find today's guest to finish up Season 6 on the Quarterback DadCast!So, what if the best leadership training happens at your dinner table? We sit down with Dane Groeneveld—dad of four, CEO of LEAD3R, and host of The Future of Teamwork—to explore how raising kids, facing anxiety head‑on, and choosing curiosity over control can transform both families and companies. From eight schools across Australian mining towns to a newborn and teens under one roof, Dane shares the practices that keep his home grounded and his teams energized.We dig into the messy middle: choosing therapy when a high‑achieving teen hits an anxious wall, stepping away from rugby to protect mental health, and having brave conversations about consent and sex without panic or shame. You'll hear why the “car ride home” is the most dangerous coaching moment, how IFS “parts” language reduces shame and opens learning, and why stoic patience beats heat‑of‑the‑moment reactions. Expect tangible tools: the “I love watching you play” reset, TED questions that unlock specifics, and permission‑based coaching that turns advice into collaboration.On the work front, Dane goes on offense against the myth of high performance at all costs. He lays out a model for healthy teams that still deliver results but no longer leave human wreckage behind. The three values guiding both his home and company—be human‑centered, be pioneering, and share in success—show up in simple, repeatable moves: assume positive intent, learn by building, and spread the win. We also trade stories about body language meltdowns on the golf course, 2 a.m. puppy chaos, and the quiet power of leaders who remove fear and instill confidence.If you're a parent, coach, or manager who wants stronger relationships and better outcomes without the burnout, this conversation is your playbook. Listen, share with a friend who needs a reframe on performance and parenting, and leave a quick review so more dads and leaders can find the show.Support the showPlease don't forget to leave us a review wherever you consume your podcasts! Please help us get more dads to listen weekly and become the ultimate leader of their homes!

This is a recap of the top 10 posts on Hacker News on December 23, 2025. This podcast was generated by wondercraft.ai (00:30): Inside CECOT – 60 Minutes [video]Original post: https://news.ycombinator.com/item?id=46361024&utm_source=wondercraft_ai(01:51): Fabrice Bellard Releases MicroQuickJSOriginal post: https://news.ycombinator.com/item?id=46367224&utm_source=wondercraft_ai(03:13): Meta is using the Linux scheduler designed for Valve's Steam Deck on its serversOriginal post: https://news.ycombinator.com/item?id=46366998&utm_source=wondercraft_ai(04:35): Instant database clones with PostgreSQL 18Original post: https://news.ycombinator.com/item?id=46363360&utm_source=wondercraft_ai(05:57): Ask HN: What are the best engineering blogs with real-world depth?Original post: https://news.ycombinator.com/item?id=46363921&utm_source=wondercraft_ai(07:18): We replaced H.264 streaming with JPEG screenshots (and it worked better)Original post: https://news.ycombinator.com/item?id=46367475&utm_source=wondercraft_ai(08:40): Snitch – A friendlier ss/netstatOriginal post: https://news.ycombinator.com/item?id=46361229&utm_source=wondercraft_ai(10:02): X-ray: a Python library for finding bad redactions in PDF documentsOriginal post: https://news.ycombinator.com/item?id=46369923&utm_source=wondercraft_ai(11:24): Show HN: CineCLI – Browse and torrent movies directly from your terminalOriginal post: https://news.ycombinator.com/item?id=46362655&utm_source=wondercraft_ai(12:45): 10 years bootstrapped: €6.5M revenue with a team of 13Original post: https://news.ycombinator.com/item?id=46363319&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Chris, Ade and Jeremiah explore the ways new technology can help you make fantastic photos.

Summary  Tune into "Adventures in Legaltech" for an engaging talk with Caspar Roxburgh, GM of Draftable. Discover how to tackle the infamous Word doc track changes mishap, get insights on law firm tech overload solutions, and explore fresh paths in legal technology innovation.

Xmas Special: Why project management tools fail software development - and what works instead! In this BONUS episode, we dive deep into The Project Management Trap, continuing our exploration from Episode 1 where we established that software is societal infrastructure being managed with tools from the 1800s. We examine why project management frameworks - designed for building railroads and ships - are fundamentally misaligned with software development, and what happens when we treat living capabilities like construction projects with defined endpoints. The Origin Story - Where Project Management Came From "The problem isn't that project management is bad. The problem is that software isn't building a railroad or a building, or setting up a process that will run forever (like a factory)." Project management emerged from industries with hard physical constraints - building the Transcontinental Railroad in the 1860s, coordinating factory machinery, managing finite and expensive materials. The Gantt chart, invented in the 1910s for factory scheduling, worked brilliantly for coordinating massive undertakings with calculable physics, irreversible decisions, and clear completion points. When the rails met, you were done. When the bridge was built, the project ended. These tools gave us remarkable precision for building ships, bridges, factories, and highways. But software operates in a completely different reality - one where the raw materials are time and brainpower, not minerals and hardware, and where the transformation happens in unique creative moments rather than repeated mechanical movements. The Seductive Clarity Of Project Management Artifacts "In software, we almost never know either of those things with certainty." Project management is tempting for software leaders because it offers comforting certainty. Gantt charts show every task laid out, milestones mark clear progress, "percent complete" gives us a number, and a defined "done" promises relief. The typical software project kickoff breaks down into neat phases: requirements gathering (6 weeks), design (4 weeks), development (16 weeks), testing (4 weeks), deployment (2 weeks) - total 32 weeks, done by Q3. Leadership loves this. Finance can budget it. Everyone can plan around it. But this is false precision. Software isn't pouring concrete where you measure twice and pour once. Every line of code is a hypothesis about what users need and how the system should behave. That 32-week plan assumes we know exactly what to build and exactly how long each piece takes - assumptions that are almost never true in software development. The Completion Illusion "Software products succeed by evolving. Projects end; products adapt." "Done" is the wrong goal for living software. We expand on the Slack story from Episode 1 to illustrate this point. If Slack's team had thought in project terms in 2013, they might have built a functional tool with channels, direct messages, file sharing, and search - shipped on time and on budget by Q2 2014, project complete. But that wasn't the end; it was the beginning. Through continuous user feedback and evolution, Slack added threaded conversations (2017), audio/video calls (2016), workflow automation (2019), and Canvas for knowledge management (2023). Each wasn't maintenance or bug fixing - these were fundamental enhancements. Glass's research shows that 60% of maintenance costs are enhancements, not fixes. By 2021, when Salesforce acquired Slack for $27.7 billion, it bore little resemblance to the 2014 version. The value wasn't in that initial "project" - it was in the continuous evolution. If they'd thought "build it, ship it, done," Slack would have died competing against HipChat and Campfire. When Projects Succeed (Well, Some Do, Anyway) But Software Fails "They tried to succeed at project management. They ended up failing at both software delivery AND project management!" Vasco references his article "The Software Crisis is Real," examining five distinct cases from five different countries that represent what's wrong with project thinking for software. These projects tried hard to do everything right by project management standards: detailed requirements (thousands of pages), milestone tracking, contractor coordination, hitting fixed deadlines, and proper auditing. What they didn't have was iterative delivery to test with real users early, feedback loops to discover problems incrementally, adaptability to change based on learning, or a "living capability" mindset. Project thinking demanded: get all requirements right upfront (otherwise no funding), build it all, test at the end, launch on deadline. Software thinking demands: launch something minimal early, get real user feedback, iterate rapidly, evolve the capability. These projects succeeded at following project management rules but failed at delivering valuable software. What Software-Native Delivery Management Looks Like "Software is unpredictable not because we're bad at planning - it's unpredictable because we're creating novel solutions to complex problems, and in a completely different economic system." If not projects, then what? Vasco has been exploring this question for years, since publishing the NoEstimates book. The answer starts with thinking in products and capabilities, not projects - recognizing that products have ongoing evolution, capabilities are cultivated and improved rather than "delivered" and done, and value is measured in outcomes rather than task completion. Instead of comprehensive planning, we need iteration and constant decision-making based on validated hypotheses: start with "We believe users need X," run experiments by building small and testing with real users, then learn and adapt. Instead of fixed scope, define the problem (not the solution), allow the solution to evolve as you learn, and optimize for learning speed rather than task completion.  The contrast is clear: project thinking says "We will build features A, B, C, D, and E by Q3, then we're done." Software-native thinking says "We're solving problem X for users. We'll start with the riskiest hypothesis, build a minimal version, ship it to 100 users next week, and learn whether we're on the right track." The appropriate response to software's inherent unpredictability isn't better planning - it's faster learning. References for Further Reading Vasco Duarte's article on the Software Leadership Workshop newsletter: "The Software Crisis is Real"  Glass, Robert L. "Facts and Fallacies of Software Engineering" - Fact 42: "Enhancement is responsible for roughly 60 percent of software maintenance costs. Error correction is roughly 17 percent. Therefore, software maintenance is largely about adding new capability to old software, not fixing it." NoEstimates Book: How To Measure Project Progress Without Estimating Slack evolution timeline: Company history and feature releases  The unexpected design challenge behind Slack's new threaded conversations Slack voice and video chat Slack launches admin workflow automation and announcement channels  Meet Slack Canvas - Slack's answer to the knowledge management problem. About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

The Gift of Simtheory: https://simtheory.ai---2025 Model Timeline: https://simulationtheory.ai/5fd0e964-4c41-4f9a-bbb3-2a398d8500f0It's the long-anticipated holiday special... except Mike and Kris forgot to prepare so it's just a normal episode.

New @greenpillnet pod out today!

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Are you chasing AI because it sounds good, or because it actually solves a real problem in your freight brokerage? And are you protecting your data, your margins, and your relationships while you do it?  Let's hear the real cost of AI in transportation and why proprietary AI and workflow automation can be a smarter long-term play in this episode with Herbert Orellana of Avanza BPO & Nearshoring and Sterling Engelhard of Data Gurus Group.  We discuss AI adoption in freight brokerage, data security, private AI models, why optimizing your internal processes has to come before automation if you want real ROI, nearshore AI development, how logistics-focused teams can help control costs and protect data ownership, and why 90% of brokerage work can be automated—but the human touch is still the competitive edge that builds trust with shippers and carriers!   Herbert Orellana Co‑Founder and COO of Avanza began his career at GlobalTranz in Scottsdale, AZ, where he thrived in a fast‑paced, tech‑driven freight brokerage environment. At Avanza, Herbert has been pivotal in scaling operations in Honduras, replicating the high‑pressure, SLA‑driven culture of American 3PLs within a nearshore model. His focus is on strategy and client success, partnering with 3PLs and FreightTech companies to design and build high‑performing nearshore teams that drive growth and efficiency.   Sterling Engelhard Seasoned technology leader with 15+ years of experience building and scaling engineering, data, and product teams across North America and LATAM. He is an expert in nearshore software delivery models, helping companies accelerate roadmaps, reduce costs, and improve quality through high-performing LATAM talent. Sterling has successfully scaled multiple software startups, shaping technical strategy, optimizing delivery operations, and leading digital transformation for enterprise clients.   Connect with Herbert and Sterling Website: https://avanzabpo.com/ / https://datagurus.tech/  LinkedIn: https://www.linkedin.com/in/herbert-orellana-099a1abb/ / https://www.linkedin.com/in/sterlingengelhard/  

Do you feel you're wasting ad spend! Listen and learn how to double your eCommerce sales without more traffic. Join Brad Friedman and Matthew Stafford as they discuss concrete ways to increase your eCommerce sales without spending more money. Over the past three decades, Matthew Stafford has been entrepreneurial and successfully built several businesses across various industries, including Concrete, Brick and Mortar Locations, POD, and Software-based ventures.  Matthew is the Managing Partner of Build Grow Scale and an equity owner of some in-house eCommerce brands. He has knowledge and expertise, enabling him to mentor thousands of store owners through paid eCommerce groups and live events.  His experience has also allowed him to help hundreds of eCommerce brands scale past the million-dollar mark, with many hitting the $10 million mark. To top it off, he's been speaking on stages about eCommerce optimization for the past seven years! In fact, before COVID-19, BGS hosted the largest yearly eCommerce-focused event in North America - BGS LIVE. Visit thedigitalslicepodcast.com for complete show notes of every podcast episode. The Digital Slice Podcast is brought to you by Magai. Up your AI game at https://friedmansocialmedia.com/magai And, if it's your first time purchasing, use BRAD30 at checkout to get 30% off your first 3 months.

This is a recap of the top 10 posts on Hacker News on December 22, 2025. This podcast was generated by wondercraft.ai (00:30): US blocks all offshore wind construction, says reason is classifiedOriginal post: https://news.ycombinator.com/item?id=46357881&utm_source=wondercraft_ai(01:52): Flock Exposed Its AI-Powered Cameras to the Internet. We Tracked OurselvesOriginal post: https://news.ycombinator.com/item?id=46355548&utm_source=wondercraft_ai(03:15): Cecot – 60 MinutesOriginal post: https://news.ycombinator.com/item?id=46361024&utm_source=wondercraft_ai(04:38): If you don't design your career, someone else will (2014)Original post: https://news.ycombinator.com/item?id=46352930&utm_source=wondercraft_ai(06:00): Claude Code gets native LSP supportOriginal post: https://news.ycombinator.com/item?id=46355165&utm_source=wondercraft_ai(07:23): Jimmy Lai Is a Martyr for FreedomOriginal post: https://news.ycombinator.com/item?id=46355888&utm_source=wondercraft_ai(08:46): The Illustrated TransformerOriginal post: https://news.ycombinator.com/item?id=46357675&utm_source=wondercraft_ai(10:08): GLM-4.7: Advancing the Coding CapabilityOriginal post: https://news.ycombinator.com/item?id=46357287&utm_source=wondercraft_ai(11:31): Lotusbail npm package found to be harvesting WhatsApp messages and contactsOriginal post: https://news.ycombinator.com/item?id=46359996&utm_source=wondercraft_ai(12:54): The biggest CRT ever made: Sony's PVM-4300Original post: https://news.ycombinator.com/item?id=46353777&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Ian and Aaron talk about Santa (obviously), do you still need an MBA (maybe not so obvious), why Ian isn't burning as many tokens as possible to get Outro out the door, what people are building with the Telegram API, and more.Sponsored by Bento, Flare, Ittybit, tldraw, OG Kit, Tighten, and NusiiInterested in sponsoring Mostly Technical?  Head to https://mostlytechnical.com/sponsor to learn more.(00:00) - Magically Better (08:59) - Pre-Holiday Adventures (17:17) - Burning The Midnight Tokens (25:35) - Outlasted By AI Agents (38:06) - Thinking Businessy (44:34) - Advent of SQL Update (50:39) - Telegram Bots Links:F150 LightningRivian Digital KeyVW Atlas1995 4 RunnerLos Tacos No. 1Bass Pro Shop's Santa's WonderlandCodex 5.2PHPStanAdvent of SQLJeffrey Way's post on building a Telegram BotNutgram

Hier geht's zu unserem E-Mail-Newsletter: https://hi.omr.com/de-de/oaws-newsletter Hier zu unserem Whatsapp-Kanal. Ohne Aktien-Zugang ist's schwer? Starte jetzt bei unserem Partner Scalable Capital. Mit eigenem KI-Chatbot, der dir alle Fragen rund ums Investieren beantwortet. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Merger Monday macht seinem Namen alle Ehre. Bei Paramount & Warner Bros. Bei Alphabet & Intersect. Bei Janus Henderson & bei Clearwater. UniFirst & Cintas versuchen's auch nochmal. Sonst so? Trump gegen Dominion & Ørsted. China gegen NVIDIA. Vail Resorts (WKN: 905285) ist der wertvollste Ski-Konzern der Börse. 25.000% Rendite in den letzten 20 Jahren. Das ist die Bilanz von Constellation Software (WKN: A0JM27). Dieses Jahr läuft die Aktie nicht. Eine Chance? Diesen Podcast vom 23.12.2025, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung.

AI is moving from chat to action.In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does. Resources:Follow Marc Andrusko on X: https://x.com/mandrusko1Follow Stephanie Zhang on X: https://x.com/steph_zhang  Follow Sarah Wang on X: https://x.com/sarahdingwangRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Topics covered in this episode: Has the cost of building software just dropped 90%? More on Deprecation Warnings How FOSS Won and Why It Matters Should I be looking for a GitHub alternative? Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. HEADS UP: We are taking next week off, happy holiday everyone. Michael #1: Has the cost of building software just dropped 90%? by Martin Alderson Agentic coding tools are collapsing “implementation time,” so the cost curve of shipping software may be shifting sharply Recent programming advancements haven't been that great of a true benefit: Cloud, TDD, microservices, complex frontends, Kubernetes, etc. Agentic AI's big savings are not just code generation, but coordination overhead reduction (fewer handoffs, fewer meetings, fewer blocks). Thinking, product clarity, and domain decisions stay hard, while typing and scaffolding get cheap. Is it the end of software dev? Not really, see Jevons paradox: when production gets cheaper, total demand can rise rather than spending simply falling. (Historically: the efficiency of coal use led to the increased consumption of coal) Pushes back on “only good for greenfield” by arguing agents also help with legacy code comprehension and bug-fixing. I 100% agree. #Legacy code for the win. Brian #2: More on Deprecation Warnings How are people ignoring them? yep, it's right in the Python docs: -W ignore::DeprecationWarning Don't do that! Perhaps the docs should give the example of emitting them only once -W once::::DeprecationWarning See also -X dev mode , which sets -W default and some other runtime checks Don't use warn, use the @warnings.deprecated decorator instead Thanks John Hagen for pointing this out Emits a warning It's understood by type checkers, so editors visually warn you You can pass in your own custom UserWarning with category mypy also has a command line option and setting for this --enable-error-code deprecated or in [tool.mypy] enable_error_code = ["deprecated"] My recommendation Use @deprecated with your own custom warning and test with pytest -W error Michael #3: How FOSS Won and Why It Matters by Thomas Depierre Companies are not cheap, companies optimize cost control. They do this by making purchasing slow and painful. FOSS is/was a major unlock hack to skip procurement, legal, etc. Example is months to start using a paid “Add to calendar” widget! It “works both ways”: the same bypass lowers the barrier for maintainers too, no need for a legal entity, lawyers, liability insurance, or sales motion. Proposals that “fix FOSS” by reintroducing supply-chain style controls (he name-checks SBOMs and mandated processes) risk being rejected or gamed, because they restore the very friction FOSS sidesteps. Brian #4: Should I be looking for a GitHub alternative? Pricing changes for GitHub Actions The self-hosted runner pricing change caused a kerfuffle. It's has been postponed But… if you were to look around, maybe pay attention to These 4 GitHub alternatives are just as good—or better Codeburg, BitBucket, GitLab, Gitea And a new-ish entry, Tangled Extras Brian: End of year sale for The Complete pytest Course Use code XMAS2025 for 50% off before Dec 31 Writing work on Lean TDD book on hold for holidays Will pick up again in January Michael: PyCharm has better Ruff support now out of the box, via Daniel Molnar This is from the release notes of 2025.3: "PyCharm 2025.3 expands its LSP integration with support for Ruff, ty, Pyright, and Pyrefly.” If you check out the LSP section it will land you on this page and you can go to Ruff. The Ruff doc site was also updated. Previously it was only available external tools and a third party plugin, this feels like a big step. Fun quote I saw on ExTwitter: May your bug tracker be forever empty. Joke: Try/Catch/Stack Overflow Create a super annoying linkedin profile - From Tim Kellogg, submitted by archtoad

Xmas Special: Software Industry Transformation - Why Software Development Must Mature Welcome to the 2025 Xmas special - a five-episode deep dive into how software as an industry needs to transform. In this opening episode, we explore the fundamental disconnect between how we manage software and what software actually is. From small businesses to global infrastructure, software has become the backbone of modern society, yet we continue to manage it with tools designed for building ships in the 1800s. This episode sets the stage for understanding why software development must evolve into a mature discipline. Software Runs Everything Now "Without any single piece, I couldn't operate - and I'm tiny. Scale this reality up: software isn't just in tech companies anymore." Even the smallest businesses today run entirely on software infrastructure. A small consulting and media business depends on WordPress for websites, Kajabi for courses, Stripe for payments, Quaderno for accounting, plus email, calendar, CRM systems, and AI assistants for content creation. The challenge? We're managing this critical infrastructure with tools designed for building physical structures with fixed requirements - an approach that fundamentally misunderstands what software is and how it evolves. This disconnect has to change. The Oscillation Between Technology and Process "AI amplifies our ability to create software, but doesn't solve the fundamental process problems of maintaining, evolving, and enhancing that software over its lifetime." Software improvement follows a predictable pattern: technology leaps forward, then processes must adapt to manage the new complexity. In the 1960s-70s, we moved from machine code to COBOL and Fortran, which was revolutionary but led to the "software crisis" when we couldn't manage the resulting complexity. This eventually drove us toward structured programming and object-oriented programming as process responses, which, in turn, resulted in technology changes! Today, AI tools like GitHub Copilot, ChatGPT, and Claude make writing code absurdly easy - but writing code was never the hard part. Robert Glass documents in "Facts and Fallacies of Software Engineering" that maintenance typically consumes between 40 and 80 percent of software costs, making "maintenance" probably the most important life cycle phase. We're overdue for a process evolution that addresses the real challenge: maintaining, evolving, and enhancing software over its lifetime. Software Creates An Expanding Possibility Space "If they'd treated it like a construction project ('ship v1.0 and we're done'), it would never have reached that value." Traditional project management assumes fixed scope, known solutions, and a definable "done" state. The Sydney Opera House exemplifies this: designed in 1957, completed in 1973, ten times over budget, with the architect resigning - but once built, it stands with "minimal" (compared to initial cost) maintenance. Software operates fundamentally differently. Slack started as an internal tool for a failed gaming company called Glitch in 2013. When the game failed, they noticed their communication tool was special and pivoted entirely. After launching in 2014, Slack continuously evolved based on user feedback: adding threads in 2017, calls in 2016, workflow builder in 2019, and Canvas in 2023. Each addition changed what was possible in organizational communication. In 2021, Salesforce acquired Slack for $27.7 billion precisely because it kept evolving with user needs. The key difference is that software creates possibility space that didn't exist before, and that space keeps expanding through continuous evolution. Software Is Societal Infrastructure "This wasn't a cyber attack - it was a software update gone wrong." Software has become essential societal infrastructure, not optional and not just for tech companies. In July 2024, a faulty software update from cybersecurity firm CrowdStrike crashed 8.5 million Windows computers globally. Airlines grounded flights, hospitals canceled surgeries, banks couldn't process transactions, and 911 services went down. The global cost exceeded $10 billion. This wasn't an attack - it was a routine update that failed catastrophically. AWS outages in 2021 and 2023 took down major portions of the internet, stopping Netflix, Disney+, Robinhood, and Ring doorbells from working. CloudFlare outages similarly cascaded across daily-use services. When software fails, society fails. We cannot keep managing something this critical with tools designed for building physical things with fixed requirements. Project management was brilliant for its era, but that era isn't this one. The Path Ahead: Four Critical Challenges "The software industry doesn't just need better tools - it needs to become a mature discipline." This five-episode series will address how we mature as an industry by facing four critical challenges: Episode 2: The Project Management Trap - Why we think in terms of projects, dates, scope, and "done" when software is never done, and how this mindset prevents us from treating software as a living capability Episode 3: What's Already Working - The better approaches we've already discovered, including iterative delivery, feedback loops, and continuous improvement, with real examples of companies doing this well Episode 4: The Organizational Immune System - Why better approaches aren't universal, how organizations unconsciously resist what would help them, and the hidden forces preventing adoption Episode 5: Software-Native Organizations - What it means to truly be a software-native organization, transforming how the business thinks, not just using agile on teams Software is too important to our society to keep getting it wrong. We have much of the knowledge we need - the challenge is adoption and evolution. Over the next four episodes, we'll build this case together, starting with understanding why we keep falling into the same trap. References For Further Reading Glass, Robert L. "Facts and Fallacies of Software Engineering" - Fact 41, page 115  CrowdStrike incident: https://en.wikipedia.org/wiki/2024_CrowdStrike_incident  AWS outages: 2021 (Dec 7), 2023 (June 13),  and November 2025 incidents  CloudFlare outages: 2022 (June 21), and November 2025 major incident  Slack history and Salesforce acquisition: https://en.wikipedia.org/wiki/Slack_(software)  Sydney Opera House: https://en.wikipedia.org/wiki/Sydney_Opera_House About Vasco Duarte Vasco Duarte is a thought leader in the Agile space, co-founder of Agile Finland, and host of the Scrum Master Toolbox Podcast, which has over 10 million downloads. Author of NoEstimates: How To Measure Project Progress Without Estimating, Vasco is a sought-after speaker and consultant helping organizations embrace Agile practices to achieve business success. You can link with Vasco Duarte on LinkedIn.

Join hosts Brett Wetzel and Kevin Compass in this hilarious yet informative episode of the Advanced Refrigeration Podcast. They dive into a chaotic week filled with CO2 rack crashes, flash tank issues, and epic memes. Listen in as they troubleshoot complex refrigeration problems, discuss the importance of accurate subcooling, and explore advanced diagnostics using the Bitzer app. Perfect for HVAC pros who love a good laugh and the thrill of technical challenges. Don't miss the antics and insights in this jam-packed episode!

Join hosts Brett Wetzel and Kevin Compass in this hilarious yet informative episode of the Advanced Refrigeration Podcast. They dive into a chaotic week filled with CO2 rack crashes, flash tank issues, and epic memes. Listen in as they troubleshoot complex refrigeration problems, discuss the importance of accurate subcooling, and explore advanced diagnostics using the Bitzer app. Perfect for HVAC pros who love a good laugh and the thrill of technical challenges. Don't miss the antics and insights in this jam-packed episode!

Apple and Google face regulatory pressure in Japan. TikTok might finally have a new USA home. YouTube bans channels for AI slop. Spotify's entire database was just copied. NVIDIA looking to squeeze gamers. Samsung announces a new chip. The Xiaomi 17 Ultra has been revealed. And we should take a moment to remember a techie who passed too soon. Let's get our tech week started right! -- Show Notes and Links https://somegadgetguy.com/b/4_M Support Talking Tech with SomeGadgetGuy by contributing to their tip jar: https://tips.pinecast.com/jar/talking-tech-with-somegadgetgu Find out more at https://talking-tech-with-somegadgetgu.pinecast.co This podcast is powered by Pinecast. Try Pinecast for free, forever, no credit card required. If you decide to upgrade, use coupon code r-c117ce for 40% off for 4 months, and support Talking Tech with SomeGadgetGuy.

Cassie Crossley is an internationally recognized cybersecurity and technology executive, and author of “Software Supply Chain Security." In this episode, she joins host Kris Lovejoy, Global Security and Resilience Practice Leader at Kyndryl, to discuss software supply chain security, including how to navigate compliance, automation, ecosystem resilience, and more. As the global leader in IT infrastructure services, Kyndryl advances the mission-critical technology systems the world depends on every day. Collaborating with a vast network of partners and thousands of customers worldwide, Kyndryl's team of highly skilled experts develops innovative solutions that empower enterprises to achieve their digital transformation goals. Learn more about our sponsor at https://kyndryl.com.

This is a recap of the top 10 posts on Hacker News on December 21, 2025. This podcast was generated by wondercraft.ai (00:30): Flock and Cyble Inc. weaponize “cybercrime” takedowns to silence criticsOriginal post: https://news.ycombinator.com/item?id=46341305&utm_source=wondercraft_ai(01:52): Logging sucksOriginal post: https://news.ycombinator.com/item?id=46346796&utm_source=wondercraft_ai(03:14): The Going Dark initiative or ProtectEU is a Chat Control 3.0 attemptOriginal post: https://news.ycombinator.com/item?id=46347080&utm_source=wondercraft_ai(04:37): I can't upgrade to Windows 11, now leave me aloneOriginal post: https://news.ycombinator.com/item?id=46347108&utm_source=wondercraft_ai(05:59): Show HN: Books mentioned on Hacker News in 2025Original post: https://news.ycombinator.com/item?id=46345897&utm_source=wondercraft_ai(07:22): Ruby website redesignedOriginal post: https://news.ycombinator.com/item?id=46342859&utm_source=wondercraft_ai(08:44): Show HN: WalletWallet – create Apple passes from anythingOriginal post: https://news.ycombinator.com/item?id=46345745&utm_source=wondercraft_ai(10:07): A guide to local coding modelsOriginal post: https://news.ycombinator.com/item?id=46348329&utm_source=wondercraft_ai(11:29): You're not burnt out, you're existentially starvingOriginal post: https://news.ycombinator.com/item?id=46346958&utm_source=wondercraft_ai(12:52): Waymo halts service during S.F. blackout after causing traffic jamsOriginal post: https://news.ycombinator.com/item?id=46342412&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

In response to the inevitable shower of deals and special offers on Black Friday, Cyber Monday, and beyond, Chuck Joiner, David Ginsburg, Brian Flanigan-Arthurs, Jeff Gamet, Marty Jencius, Eric Bolden, and Jim Rea share some of their holiday acquisitions and why the made them. The panel also covers “fake” discounts, deal fatigue, and why loyal customers often miss out while still celebrating the fun of finding genuinely useful gear.  MacVoices is supported by The Antigravity A1. Get off the ground like never before with the Antigravity A1. You have to see the results to believe them. Find out everything you need to know to get off the ground with Antigravity A1 — the world's first 8K 360 drone. https://www.antigravity.tech/drone/antigravity-a1/buy?utm_term=macvoices Show Notes: Chapters: [0:00] Black Friday/Cyber Monday kickoff and sponsor message [1:11] Panel introductions and holiday check-in [7:05] Big tech buys: lights, Stream Decks, docks, cameras [9:34] Software deals and productivity tools [12:38] Choosing not to buy—and why that's OK [17:22] Sponsor spotlight and discussion reset [19:05] Stream Deck Plus knobs and workflow ideas [21:27] Discoverability and deal overload [26:26] Ongoing sales vs. true deadlines [28:41] Storage upgrades and hardware bargains [30:57] “Deals that aren't deals” and shopping fatigue [34:46] Loyalty vs. new-customer discounts [35:38] Wrap-up thoughts on value and restraint Links: Elgato Key Light https://amzn.to/4q8e1Lq Elgato Stream Deck XL – Advanced Studio Controller, 32 macro keys https://amzn.to/4rXIjlO Insta360 Link 2 - PTZ 4K Webcam for PC/Mac, 1/2" Sensor, AI Tracking, HDR, AI Noise-Canceling Mic https://amzn.to/4rXZAeA Elgato Stream Deck + https://amzn.to/4qcTV2T Keyboard Maestro Field Guide https://learn.macsparky.com/p/km NASA Apollo Lunar Roving Vehicle https://www.lego.com/en-us/product/nasa-apollo-lunar-roving-vehicle-lrv-42182 Guests: Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him on Twitter, by email at embolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast. Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support: Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect: Web:      http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices Mastodon:      https://mastodon.cloud/@chuckjoiner Facebook:      http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:      http://www.facebook.com/macvoices/ MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice LinkedIn:      https://www.linkedin.com/in/chuckjoiner/ Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Keonne Rodriguez explains why he built a bitcoin privacy tool, discusses the federal charges that sent him to prison this week, and warns that his case could redefine the legal boundaries of financial privacy.