Podcasts about Prototype

Bob Zimmerman reports that SpaceX is preparing for its 13th Starship flight, a prototype featuring major upgrades for future orbital missions and in-orbit refueling. In India, the startup Skyroot achieved a landmark success with the Vikram-1 rocket, signaling the rise of a private, capitalist space sector. However, the Indian government has counterproductively restricted ISRO employees from leaving for private firms. These contrasting approaches highlight the tension between state-run agencies and the efficiency of private enterprise in the global space race. (11)AUGUST 1955

Robert Patton is the Founder and CEO of SHEATH, a premium men's underwear brand he conceived while serving as a U.S. Army Sergeant in the scorching heat of the Iraqi desert. After two combat deployments, Robert left the military with a mission: to create performance-driven underwear built around a patented dual pouch system that delivers unmatched comfort and support for active men.What started as a bootstrap idea fueled by a $5,000 insurance check and a successful Kickstarter campaign in 2013 has grown into a globally recognized brand selling to customers in over 120 countries. SHEATH is the first ever Official Underwear Partner of the UFC — a milestone Robert built without taking on outside investors.A daily meditator, lifelong student of Napoleon Hill's Think and Grow Rich, and relentless entrepreneur, Robert's story is a testament to grit, reinvention, and the power of solving a real problem the world didn't know it had.In This Conversation We Discuss:00:00 Introduction01:02 What an elite underwear makes01:56 The Iraq deployment origin story04:20 Building the first underwear prototype07:32 Sponsor: Klaviyo09:47 Early prototypes and finding a manufacturer15:12 Launching the first Kickstarter campaign17:06 Sponsor: Intelligems 18:33 A botched production and near giving up21:03 The second Kickstarter and revenue growth22:58 Using AI to speed up product design24:12 Sponsor: eFulfillment Service 25:58 Finding customers beyond Kickstarter26:57 The comedian throw stunt28:18 Sponsoring comedians and podcast hosts30:43 Famous names and loyal ad partners35:04 Advice for aspiring entrepreneurs38:14 Where to buy underwear for legendsResources:Subscribe to Honest Ecommerce on YoutubeMen's pouch underwear sheathunderwear.com/ Follow Robert Patton linkedin.com/in/robert-patton-b675273b    Schedule an intro call with one of our experts electriceye.io/connect Get your free demo klaviyo.com/honest Book a demo today at intelligems.io/ Lower scale costs today eFulfillmentService.com/honestSchedule an intro call with one of our experts electriceye.io/connect     If you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

Endurance-Info débriefe et analyse les 6 Heures de São Paulo, dernière manche en date du WEC 2026, disputée le week-end passé, avec la victoire de BMW M Team WRT et de la M Hybrid V8 n°15 de Dries Vanthoor, Kevin Magnussen et Raffaele Marciello.Qui sont les gagnants et les perdants du meeting brésilien ? Que retenir de la première manche post-24 Heures du Mans ? Le tout est à écouter ci-dessous dans le nouveau numéro de notre podcast Track Limit by Minerva Oil.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

We spread our toes wider than nature intended before this great episode! A main topic was on the fueling evolution in the Tour de France, and how that has predicted everything that has happened across endurance sports. We also break down what fueling looked like in the 1990s from an old study! High carb is changing everything, and cycling is always the first mover on the next breakthrough.We also did an update on uphill treadmill threshold workouts. More than any training intervention we have ever seen, these workouts seem to be correlating with better performance for road runners, where every 1% counts. And this one was full of fun topics! Other topics: David's embarrassing online order, the wild and mostly unchecked world of shoe prototypes, the Hardrock 100 (featuring 50-year old Ludovic Pommeret setting another course record!), AI cheating in college and what that means for creative work, a “supplement” at the World Cup, when to move to the 100-mile distance, peeing thoughts, our uncertain take on Nomio in ultras, our heat video in the hot tub, and a big discussion of how we think about learning in coaching.Come for the vibes. Stay for David realizing mid-hot-take that he is a hypocrite and should stop talking about shoes.We love you all! HUZZAH!-David and MeganClick "Get 40% Off" button for 40% off at The Feed here: thefeed.com/swapBuy Janji's amazing gear: https://janji.com (code "SWAP")20% flash deal for the Wahoo Kickr Run treadmill on Wednesday: https://www.wahoofitness.com/devices/running/treadmills/kickr-run-buy (code “SWAP”)For training plans, weekly bonus podcasts, heart rate zones, articles, and videos: patreon.com/swap

ONLY GOOD VIBES NEWS TODAY PLEASE. It's been a week, or eight. We chat Switch 2 new model, SDCC gaming stuff, Pokemon GO to the 10th anniversary, and the PlayDate helps Big Ben! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: Seth from https://www.CatWithMonocle.com SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb, Stefan Topics: Granblue Fantasy: Relink – Endless Ragnarok D-topia Denshattack! Kidbash: Legends Mousebusters (Review) Rhythm Heaven Groove Review & Preview products supplied by publishers SnackQuesting: Nothing Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Nintendo

The host Amy Phillips is joined by Chef Stuart O'Keeffe (Don't Let It Stew podcast and co-author of the Not-So Real Housewives Cookbook) to recap the Real Housewives of Orange County premiere and discuss Stuart's recent Love Island recaps and an upcoming top-secret competition reality show he filmed, described as Survivor/Special Forces-like. They break down the season's “micro drama” montage of Vicki and Tamra's feud history, the news and confusion around Jen Pedranti's son and the Ladera Ranch fire, and the 20-years-of-RHOC intro featuring Vicki and Shannon in Mexico, including their antics and a controversial “poor people” remark. They touch on cast updates and dynamics: Tamra vs. Shannon, Emily's glow-up, Jen and Emily's improved relationship, Heather's money accusations and tense scenes with her mother, Gina's surprise engagement and “prototype” ring, Tamra's daughter Sophia staying local and their new podcast, and the introduction of Jen's friend Carmella plus anticipated cameos from RHOC originals.RULAStart your mental wellness journey today with Rula, visit: https://www.rula.com/drama/CASH APPDownload Cash App Today: https://click.cash.app/ui6m/rw17ojho #CashAppPod. Cash App is a financial services platform, not a bank. Banking services provided by Cash App's bank partner(s). Prepaid debit cards issued by Sutton Bank, Member FDIC. See terms and conditions at https://cash.app/legal/us/en-us/card-agreement. Cash App Green, overdraft coverage, borrow, cash back offers and promotions provided by Cash App, a Block, Inc. brand. Visit http://cash.app/legal/podcast for full disclosures.For a limited time, new Cash App customers can earn $10 if they use code FAMILY10 in their profile at signup and send $5 to a friend within 14 days.https://cash.app/To watch this recap on video, listen to bonus episodes, get ad free listening, and exclusive content, go to: http://Patreon.com/dramadarlingFollow Amy Phillips on Instagram: Instagram.com/meetamyphillipsFollow Drama, Darling on Instagram: Instagram.com/dramadarlingshowFollow Amy on TikTok: tiktok.com/@realamyphillipsEmail Drama, Darling with YOUR comments, questions and drama: DramaDarlingz@gmail.comDrama Darling Shop: https://drama-darling-shop.printify.me/

What does operations have to do with prototype modeling? Lonnie Bathurst, organizer of the St. Louis Railroad Prototype Modelers (RPM) Meet, and Rick Watson, President of the Operations Special Interest Group (OPSIG), stop by the ATLP studio for a deep dive into the 2026 St. Louis RPM. This year, the nation's largest RPM meet puts the spotlight on “Operation - The Key to Modeling Your Prototype.” The panel explores how prototypical operations enhance realism, modeling, community, and the next generation of railroad hobbyists and how both organizations combined to teach the community how they can bring both aspects together. Learn more about this episode on our website:aroundthelayout.com/248This episode of Around The Layout is Powered By Rapido Trains:https://rapidotrains.com/Thank you to our episode sponsor, Spring Creek Model Trains:https://www.springcreekmodeltrains.com/Thank you to our episode sponsor, NarrowThrottle by Scott Thornton:https://narrowthrottle.square.site/Visit our website at aroundthelayout.comBecome a member of our Operating Crew for chances to win and much more!aroundthelayout.com/crewAround The Layout Podcast is a production of Thirty Five Productions LLC©2026 Thirty Five Productions LLC. All rights reserved.The views and opinions expressed by hosts and guests are their own and do not necessarily reflect those of Thirty Five Productions LLC or our sponsors.Use of any trademarks or trade names is for identification purposes only and does not imply endorsement.No portion of this podcast may be reproduced, distributed, or transmitted in any form or by any means without the prior written permission of Thirty Five Productions LLC, except for brief quotations used for purposes of review, commentary, or promotion.

Summer Game Fest is finally (almost) over, but we still have an amazing collection of previews! And we're joined by our returning friend Veerender, who has been doing some reporting for Unwinnable! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: Veerender Singh Jubbal for UNWINNABLE SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb, Stefan Topics: Table Flip Simulator HOA 2 Slap Out Of It Dragon Ball Xenoverse 3 Crimson Moon Nekome: Nazi Hunter Aion 2 TCL's new gaming monitors Lazy River Ithaca Everquest Legends Dreadmoor Stranger Than Heaven Fractured Blooms Petal Runner Star Wars: Galactic Racer Turok Origins Magic the Gathering x Marvel Comics Review & Preview products supplied by publishers SnackQuesting: Nothing Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Saber Interactive/Turbo Button/Probably Monsters

It's been a VERY BAD WEEK in the world of video games. We're here to help you understand what's going on! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Stefan, Zero the Prototype, Exageneus, Jeff Grubb Topics: This shit sucks: Xbox, Apple raise prices again Xbox dropping studios, breaking contracts Breaking: Sony waves goodbye to physical media Stuff we're enjoying: Dead or Alive 6 Last Round (review) Deltarune R-Type Dimensions III (review) Scale the Depths (review) One Piece TCG card rip Review & Preview products supplied by publishers SnackQuesting: Water! Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Koei Tecmo/One Piece TCG

Plus: President Trump made over $1 billion on crypto deals in 2025. And South Korean exports soar on AI chip boom. Julie Chang hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Xbox is raising prices again, Steam Machine is expensive, and GTA VI is… also expensive! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Stefan, Zero the Prototype, Exageneus, Jeff Grubb Topics: Xbox, Apple raise prices again Valve launches Steam Machine with pricing Grand Theft Auto VI will launch at $80, no physical disc Stuff we're enjoying: Star Fox Observer: System Redux (Switch 2 review) Magic the Gathering x Marvel booster pack rips Review & Preview products supplied by publishers SnackQuesting: Water! Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Xbox/Valve

Week 2 of 2026 Men's World Cup is in the books and Bill & Michael break down the legacy of Manuel Neuer,  Bill's discussion with Former USWNT GK Jill Loyden on Matt Turner's use of the spread, and Zion Suzuki's GK Identity and whether USMNT GK's have one themselves?  Great listen for young coaches, players and parents!! Download the Union GK community on Apple or Google Play Stores for more! Video Link Here - https://www.theunionsports.com/feeds/2491611 *If you want us to come to your town; all you've got to do is DM us @goalkeeperpodcast on The Union & tell us what you've got in mind. The Following is a FREE Preview of the popular Inside The 18 Goalkeeper Podcast. Want to continue watching or listening? Then Join a 30 day free trial of The Union GK App the new exclusive home of the pod. For more info; go to www.theuniongk.com ; or download the The Union GK Community on Apple or Google Play Stores. Thanks for all your support & we'll see you on The Union! Unlock Excellence with UNION GK APP Premium Features: One-On-One Virtual Coaching Sessions: Meet with world-class coaches and goalkeepers to discuss your performance, technical assessments, the college recruiting process, and more. Personalized Training Plans: Access to tailored training plans designed by professional goalkeepers to enhance skills and understanding of the position. Exclusive Drills Library: Unlimited access to the Union GK's goalkeeping drills and exercises for players to fine-tune technical and tactical awareness. Pro Analysis Tools: Receive insightful feedback on past performance from expert coaches to elevate your game. Mindset and Performance Coaches: Access to coaches specializing in mental toughness in soccer players. Access to help to boost self-esteem, conflict resolution with coaches and players, and mindset. The Gift That Keeps Them in the Game! Your Premium Subscription to The Union Goalkeeper App offers easily accessible tools at the low yearly cost of $49.99 - Subscribe now for the year, and you'll receive an exclusive UNION GK premium hat (retail value $25.00)! Use code HOLIDAYGWP at checkout. Don't miss out – Keeperstop Coupon Code: Union GK members can save an additional 10% with code: UGK23. Contact the goalkeeper equipment experts in the USA for goalkeeper gloves and equipment. Always always available to answer any sizing or equipment question. Don't forget to sign up for office Hours on the Union GK App Portal https://www.theunionsports.com/office_schedulers?k=c1a46a8b Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

More great stuff from SGF! Dali and Sam take a look at indies from The Mix plus some RPGs and ALIENS. Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Stefan, Zero the Prototype, Exageneus, Jeff Grubb Topics: Summer Game Fest! Games: Tenebris Somnia Victor's Video Vault Wildblue Skies Kidbash: Super Legend Alice Goes to Wonderland (pinball) Granblue Fantasy: Relink – Endless Ragnarok Alien: Isolation 2 Aliens: Fireteam Elite 2 Empulse Magic the Gathering X Marvel Review & Preview products supplied by publishers SnackQuesting: Water! Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: SEGA/Cygames

In this episode of One Vision Podcast, Danny Friday, CEO and Founder of Sail, joins Theodora Lau to unpack why the "boring" corners of fintech — HSA and FSA accounts — are exactly where the next wave of meaningful innovation is hiding. Danny shares the origin story behind Sail: a claim over a Spanish-language dental receipt that exposed a deeper challenge about regulated industries: most of their software isn't broken by accident, it's broken by indifference to user experience. They dig into why no one had built itemized, embedded HSA/FSA infrastructure before now, what changed technically to make it possible, and why Danny insists AI should never make the hard calls. The conversation closes on a bigger bet: that within three to five years, every digital banking app will help people reimburse tax-advantaged expenses, and what that means for the industry. 

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We're excited to have Databricks join us at AIEWF, among hundreds of the top companies in the AI Engineer ecosystem. LS subscribers can use their discount to get past the late bird pricing and access over $50k in sponsor offers! Everyone is still talking about Satya's Frontier Ecosystems post, but few have actually built a (now $175 billion) frontier ecosystem and cloud like our guests today.From open-sourcing the layer above coding agents to rethinking databases for the agent era, Databricks cofounders Matei Zaharia and Reynold Xin are pushing the company beyond the lakehouse into a full data-and-AI operating system. In this episode, Matei and Reynold join swyx at the 2026 Data + AI Summit to unpack Omnigent, LTAP, Lakebase, agent security, open formats, Mosaic, and why databases may matter more than ever once AI agents start doing real work.We go deep on Omnigent: Databricks' open-source meta-harness for combining, controlling, and sharing agents across Claude Code, Codex, Cursor, Pi, custom agents, and internal tools. Matei explains why coding agents and enterprise agents run into the same problems: portability, collaboration, session history, security, spend controls, and the need for a common API above every harness.Then Reynold walks through Databricks' database dream: why CDC is brittle enough to joke that it means “continuous data corruption,” why HTAP has been the holy grail of database engineering, and why Databricks thinks LTAP gets most of the benefits by unifying the storage layer instead of collapsing every query engine. We also cover Databricks' infrastructure scale, the culture behind rapid prototyping, the difference between tech and enterprise customers, Databricks vs Snowflake, whether vector databases should have ever existed, the Mosaic model strategy, Genie, AI Runtime, RL fine-tuning, and the thesis that traditional software gets rewritten once the data is in the right place and agents sit on top.Databricks began as a company for the big data era. The origination of Spark from the Berkeley AMPLab which eventually turned into the product Lakehouse convinced enterprises that they didn't need a separate data lake, warehouse, ML platform, and governance layer. They just needed one open foundation where all of their data could live and be reasoned over.Since then a lot has changed, but data has only become more important. Data is no longer something you keep track of and analyze ad hoc, it's the necessary context agents need in order to act. So the framing has shifted from “where do we put all of our data?” to “how do we expose the right slice of state, history, permissions, and business logic to an AI system at the exact moment it's doing work?”If frontier model performance becomes commoditized, the durable advantage then becomes the company-specific context around them: proprietary data, governed access, operational state, transaction logs, workflows, and feedback loops. Which makes Databricks positioned perfectly.Now coming fresh off the Data + AI Summit 2026, the company is moving just as fast to keep up, announcing Genie One, Omnigent, LTAP, and many more, indicating a central mission in its newer work: Databricks is trying to become the operating system for enterprise agents.Models are getting good enough, but agents are only useful if they have the right context, permissions, memory, state, cost controls, and access to live business data. Fundamentally it appears that significantly better model performance in production is a systems problem, one that data guys like us are remarkably well prepared to solve!We discuss:* Why Databricks built Omnigent as a meta-harness above existing AI agents* Why coding agents and custom enterprise agents need the same infrastructure* The common API for agent sessions, files, streams, tool calls, and cancellation* Why persistent sessions, cloud sandboxes, sharing, search, and collaboration matter* Why Databricks open-sourced Omnigent instead of keeping it proprietary* Databricks' internal agent usage, cloud sandboxes, and coding workflows* The scale of Databricks: 50–60 million virtual machines a day and exabytes before breakfast* Why agent security needs contextual and stateful policies* How an agent could read confidential docs, install a compromised npm package, and leak data* Why spend control matters when an agent can burn $500 reading logs* Startup opportunities around coding-agent analytics, quality, skills, and spend* LTAP, Lakebase, and why Databricks wants to rethink the database stack* OLTP vs OLAP, CDC, and why data pipelines break at 3 a.m.* Why HTAP has historically been the holy grail of database engineering* Why Databricks thinks LTAP is “HTAP done right”* How writing transactional data into column-oriented formats changes analytics* Why agents need live operational context from databases, not just telemetry* How Databricks prototypes strategic systems without endless process* Enterprise vs tech customers, governance, procurement, and DIY culture* The “second system syndrome” risk of rewriting a database engine* Building a database engine from a decade of traces and quadrillions of data points* Why vector databases should never have been a separate category* Why open formats and AI changed the race with Snowflake* The Mosaic story, DBRX, Genie, document parsing models, and specialized model training* Why model customization and RL fine-tuning may become mainstream* Why “get the data there, slap some agent on top” may rewrite traditional softwareMatei Zaharia* LinkedIn: https://www.linkedin.com/in/mateizaharia* X: https://x.com/matei_zahariaReynold Xin* LinkedIn: https://www.linkedin.com/in/rxin* X: https://x.com/rxinDatabricks* Website: https://www.databricks.com* X: https://x.com/databricksTimestamps00:00:00 Introduction00:02:22 Omnigent and the Agent Infrastructure Layer00:08:39 Agent Clouds, Common APIs, and Open Source00:16:52 Databricks Scale and Internal AI Workflows00:18:03 Agent Security, Governance, and Spend Controls00:27:34 LTAP and the Database Dream00:30:30 CDC, HTAP, and Why Data Pipelines Break00:34:05 Lakebase, Parquet, and Live Data for Agents00:36:47 Databricks' Culture of Fast Prototyping00:43:40 The Dream Engine and Rewriting the Database Stack00:51:02 Vector Databases, Query Engines, and LTAP00:52:36 Databricks vs Snowflake00:57:48 Mosaic, DBRX, Genie, and Specialized Models01:03:11 Context, AI Runtime, and RL Fine-Tuning01:06:15 Why Data + Agents May Rewrite Software01:07:09 Closing ThoughtsTranscriptIntroduction: Databricks, Data + AI Summit, and Founder DynamicsSwyx [00:00:00]: Matei and Reynold from Databricks, welcome to Latent Space.Reynold Xin [00:00:06]: Hey, thanks for having us.Swyx [00:00:07]: Yeah.Matei Zaharia [00:00:08]: Yeah, thanks so much.Swyx [00:00:09]: thanks for taking time out. You have your Databricks, Data AI Summit going on. You were just telling me how the first summit that you guys ran was just 50 peopleReynold Xin [00:00:17]: Yeah, it wasSwyx [00:00:17]: in BerkeleyReynold Xin [00:00:18]: little meetup at Berkeley, I thinkMatei Zaharia [00:00:19]: YeahReynold Xin [00:00:19]: put togetherMatei Zaharia [00:00:20]: We were doing these tutorials and, yeah, just teach people Spark.Swyx [00:00:23]: Yeah. obviously now it's like, I think like the headline number's like 100,000 people around the world, 30,000 in person.Swyx [00:00:30]: it's a crazyMatei Zaharia [00:00:31]: AmazingSwyx [00:00:31]: community. Well, I just saw the keynote.Swyx [00:00:35]: Ali's just. Did was it obvious or that back when that Ali would be, like, such a great, like, CEO? LikeReynold Xin [00:00:42]: OhSwyx [00:00:42]: such a great presenter?Reynold Xin [00:00:43]: What do you think?Matei Zaharia [00:00:44]: I think among our group of founders it was clear that, I think he'd be the best at this.Swyx [00:00:50]: Yeah.Matei Zaharia [00:00:50]: And yeah, it turned out great. And he's, he's ramped up on so many topics growing a company. He would just go in and, like, study it and, be talk to all the experts. Like, even if he can't hire the person, learn enough about, like, finance and sales and whatever it was, and, and go from there. Yeah.Swyx [00:01:09]: Yeah.Reynold Xin [00:01:10]: he's obviously very high IQ and a very high EQ, but it wasn't. Like, Ali today is quite different from Ali from, like 10 years ago. I think there's a lot of work that he put in to, get to this point.Swyx [00:01:20]: Yeah. no, to me the most appealing thing about him is that he's funny. And like, it, it's, it'Matei Zaharia [00:01:26]: It's true, yeahSwyx [00:01:26]: it's hard to make jokes about, data warehousesReynold Xin [00:01:30]: About serious topicsSwyx [00:01:31]: securityMatei Zaharia [00:01:32]: YeahSwyx [00:01:32]: what have you.Matei Zaharia [00:01:33]: Oh, yeah. That's for sure.Swyx [00:01:34]: Yeah. So you guys launched a whole bunch of things. I'll, I'll just name check briefly, the stuff because we're not gonna cover everything. Omnigentt, your baby. LTAP, your baby, your dream engine.Swyx [00:01:47]: we're also gonna cover Genie, cover CustomerLake, you acquired PantherMatei Zaharia [00:01:52]: YeahSwyx [00:01:52]: Open Sharing, and there's Unity AI Gateway. A lot of these, I think, like, are things that you would expect a Databricks to do. It's, it's like part of the roadmap. Everyone in your category has similar things. But I think, probably the two of you are leading the two most unique and differentiated initiativesOmnigent and the Agent Infrastructure LayerSwyx [00:02:09]: on, in the landscape. Maybe we'll start with, Omnigentt we'll, we'll, we'll, we'll go into it. I do think that a lot of people are exploring this meta harness concept.Matei Zaharia [00:02:21]: Yeah, totally.Swyx [00:02:21]: What led you to it?Matei Zaharia [00:02:22]: Yeah. There were a couple of, like, converging lines, which I think is a good sign that you need something new. So on the one hand, there's all the coding agent info internally. We have really great, dev infra team. they built something called Isaac, that's like a wrapper on Claude Code and Codex, and, lets you use them either on the web in, like, sandboxes or, just on your dev machine or on your laptop or whatever. And then, they were adding all kinds of stuff there. And we saw all the more advanced engineers like, were building their own workflows with tons of agents, and they were building their own UIs and stuff on top or even on top of that. And then the other one was, like, us building agents. We ship this, like, data science agent called Genie on the research team, which I lead. We also build a lot of internal ones for various things, and then we have all the customer ones. And all of them running into this thing of like, “Oh, I need to switch model and harness and so on,” every few months. Plus the agent is, like, completely useless if you can't share sessions with someone and have history and have search and all this, like, layer on top of it for collaboration. I thought a bit about it from both contexts and, at first people thought it was weird. They're like, “Why are you doing coding agents and custom agents in the same thing?” But I said it's, it's the same problems and, you just wanna build the stuff that lets you deliver the agent, maybe control it if you care about security, and, make it portable across things. And then we prototyped some things as experiments. We saw, yeah, we can make it work, and then we built that for real.Swyx [00:04:06]: I'm wondering if this let's call it architectureMatei Zaharia [00:04:11]: YeahSwyx [00:04:11]: maps to anything in your careers in the past. like I always think about how a lot of things just tie back to operating systems.Swyx [00:04:18]: A lot of operatingMatei Zaharia [00:04:19]: YeahSwyx [00:04:20]: systems tie back to databases,Matei Zaharia [00:04:21]: SoSwyx [00:04:21]: or the other way aroundMatei Zaharia [00:04:22]: so the thing, I do think it ties a lot to, like, network protocols, internet protocol. we alsoSwyx [00:04:29]: Communication between entities.Matei Zaharia [00:04:30]: Yeah. We did stuff with, like, data sharing also, which is probably, most viewers probably won't know unless they'Swyx [00:04:36]: Yeah, open protocol is the term.Matei Zaharia [00:04:37]: Yeah.Swyx [00:04:38]: Open sharing. Open sharing.Matei Zaharia [00:04:38]: Open sharing.Swyx [00:04:39]: Yes.Matei Zaharia [00:04:39]: Yeah. So it's like you have a company, you maintain some table, like let's say like a Walmart or something. They have like the, inventory and what's been sold in each store. And then you also have suppliers, and they would love to produce more things and ship them, like, exactly the moment you need them. So they would love, like, real-time access to your table. So instead of like sending emails around or Excel sheets or phone calls, why can't you share like a view of that table in real time with them? Then they query, they, join it with their data, and they decide what to send. So it's one of these things where you, like you might ask like today since we can vibe code anything so fast, why do we even need to design like protocols or APIs or software? Why can't you just vibe code things on demand? But for this type of interoperability where multiple parties that are moving at different speeds are building stuff and you still want some layer on top to coordinate, you do wanna design it and build it. So it reminds me of that, like agents talking to each other and, users talking to agents and tools.Agent Clouds, Cloud Sandboxes, and Keeping Sessions AliveSwyx [00:05:42]: Reynold, any other comments alternative viewpoints?Reynold Xin [00:05:46]: I think, by the way, we had a debate on exactly which set of benefits would, matter a lot, and I think around the time we decided to do this thing I was telling Matei, “Hey,” it just happened to be there's a particular week that I was coding nonstopSwyx [00:06:00]: from the moment I woke up to, like, the moment I went to bed, I was, like, looking at my Claude sessions, my Codex sessions. And one of the things that was particularly annoying was having to keep my laptop open.Swyx [00:06:12]: I was driving to a doctor's appointment, and I remember because I wanted to make sure the whole thing continues working.Matei Zaharia [00:06:18]: But by the way, it's so comforting to hear you say that because I'm like, “I don't know if I'm a clown and I'm doing this or like.”Swyx [00:06:25]: Yeah. Like honestly, I was driving and I was tethering my laptop to my phone.Matei Zaharia [00:06:29]: huh.Swyx [00:06:29]: Keeping it on the side. Whenever I hit a red light, I started looking at what's going on my laptop.Matei Zaharia [00:06:35]: Yeah.Swyx [00:06:35]: And I just felt that was ridiculous.Matei Zaharia [00:06:37]: Yeah.Swyx [00:06:37]: It felt like we went back to the dark agesMatei Zaharia [00:06:39]: YeahSwyx [00:06:40]: programming. the productivity you gain from all this coding age is amazing, but, yeah.Matei Zaharia [00:06:45]: Have you heard of cloud?Swyx [00:06:47]: Yeah.Swyx [00:06:48]: It was crazy to me.Matei Zaharia [00:06:49]: Oh, the thing you were working on was the sandboxes or was this before that?Swyx [00:06:52]: It was a sandbox.Matei Zaharia [00:06:53]: Okay.Swyx [00:06:54]: I was workMatei Zaharia [00:06:54]: So you were inSwyx [00:06:55]: So I was approaching from a very different angle. I wanted to, “Hey, we're gonna have cloud sandboxes that doesn't shut down. You can get one very quickly,” but not just for running agentic sessions.Matei Zaharia [00:07:06]: Yeah.Swyx [00:07:06]: It's also for running development. So I was personally building that week, and through building that, I ran into all these issues, and then I wroteMatei Zaharia [00:07:15]: YeahSwyx [00:07:15]: a document for Matei, it's like, “Here's my wish list of what the actual environment should do.” And I think he ended up almost implementingMatei Zaharia [00:07:22]: YeahSwyx [00:07:22]: every single one of them.Matei Zaharia [00:07:23]: Yeah, I remember Reynolds saying, ‘cause my first prototype of this had just chats with your agent and he said, “I have to be able to open a shell, like my own shell and like list files and like tail them and stuff.” SoSwyx [00:07:36]: So SSH into a mainframe.Matei Zaharia [00:07:37]: Yeah. it has that now.Swyx [00:07:39]: Tailing my log.Matei Zaharia [00:07:40]: Yeah.Matei Zaharia [00:07:41]: Yeah.Swyx [00:07:41]: And also another thing I think I asked was, I had. I still use cursor for the sole purpose of rendering markdown files.Matei Zaharia [00:07:48]: huh. Yes.Swyx [00:07:49]: So I said, “If you just give me a way to see my markdown files and renderMatei Zaharia [00:07:53]: YeahSwyx [00:07:53]: them properly, I don't need a separate tool anymore.”Matei Zaharia [00:07:55]: Yeah.Swyx [00:07:56]: And I think you also built that in.Matei Zaharia [00:07:57]: Yeah, we, yeah, we did that, yeah. Yeah, we had a lot of engineers building, their own vibe coding setup. But then the other thing they all said is like, “Hey, I built something that's amazing for me, but, like, no one else on the team can use it ‘cause I don't have a server to collaborate.” And this is why we tried to set up, Omnigent, so you can have a server and have the security, set up in there. So, like log in with Google or whatever and, like securely share stuff. which. And that's where we've seen a lot of other agents like hit things. Like people think they prototyped an awesome agent, but it's not allowed to connect to like some really important data or whatever because of the security team.Omnigent Architecture, Open Source, and Common APIsSwyx [00:08:38]: Yeah.Matei Zaharia [00:08:38]: So yeah.Swyx [00:08:39]: Yeah. At this point, so for those watching along on YouTube, we're gonna putting up a image of the structure here, and we can talk a little bit of the architecture. I think I just want to have people understand, ‘cause like when we're talking about software, it can be very abstract and like here is what we're talking about. You've worked out in open source this entire platform and there's a runner component and server component with a uniform API that you've, you've figured out. any other element and obviously you can plug in all this, persistence layers and compute layers. This is a whole cloud. It's an agent cloud.Matei Zaharia [00:09:12]: Yeah. It's, it's got these components to work with it. The, a lot of the action happens like on the machine where you deploy your agent too. So whatever you've got on there, you can run. But yeah, it's, I think it's the minimal thing you want to have hosted, like collaborative agents and to have that server. And one of the reasons we open sourced it is, anyone building agents, this gives them an app they can start with and customize, which we were seeing in Databricks too. Like someone would make a nice, agent app and then other teams would ask, “Oh, can I just use yours for my agent?”Swyx [00:09:45]: Yeah, I think we had like five or six different agentic frameworksMatei Zaharia [00:09:48]: YeahSwyx [00:09:48]: built by every different team. They do all do more or less the same thing. Yeah, you need to. people wanna take something that works in Forkit, and you might as well have something open source. Yeah, which also was another question, which is interesting for Databricks. Like what do you choose to open source? What do you choose to make it proprietary? It's in. this goes back to Spark, right?Matei Zaharia [00:10:05]: Yeah.Matei Zaharia [00:10:06]: One, so one of the reasons to open source something is if you think it's a layer that will there'll be some network effect, it'll benefit from many, people collaborating, on it. So, for example, with Spark, I don't know if when Spark came out, we also focused a lot on letting you have libraries on top. So like there used to be differentSwyx [00:10:28]: EcosystemMatei Zaharia [00:10:28]: distributed computing engines for like machine learning and graph computation. We said they should all be libraries that you can compose. And we made it super easy to add connectors to data sources too. And then we benefit because, we don't have the time to write like connectors to like, 1,000 like different databases and file formats, but we can just use the ones people make, and of course they benefit from joining, this thing. So that's like one of these as it. Another way to think about it is like imagine, we our thing wasn't open. We had some agent hosting thing, but it's not open and then there is an open one. if you're. Which one's gonna win in the long run? So like here, because there is this benefit from like people writing integrations, it'll be, it'll be that. And then there are other things that like you just can't, even deliver as open source that are things the company does. Like for example, how do you make sure you're like streaming, jobs or your Lakebase database doesn't like, lose all your data at night? Well, that requires an operational team that's gonna sit there. There's no way it has to be a service. So like we wanna make sure as a company we're really good at those infra services and then we're as open as we can in terms of like what you build on top.Swyx [00:11:42]: speaking from a benefits, I think we are already seeing pull requestsMatei Zaharia [00:11:45]: YeahSwyx [00:11:45]: of all kinds of ecosystem integration, even though it was only released on Saturday.Matei Zaharia [00:11:50]: Yeah, Saturday. Yeah. So someoneSwyx [00:11:51]: Let's see, let's see what's going on. Yeah, you can look at the merge ones. I asked Sam Nigon this morning aboutMatei Zaharia [00:11:59]: 400 merge already?Matei Zaharia [00:12:00]: Yeah. I think Recent quite, I would guess around half are not from our team. but for example, someone added support for running it on Kubernetesrnetes. people added, many cloud sandboxes, so this can launch a cloud sandbox and run your agent in there, which is great for sharing too, ‘cause it's not, like, on your laptop and someone's, like, running scary code on there. so yeah, many startups have put those in, and, we expect to see more of them. We also have more agent harnesses already. Cursor, CLI, and Antigravity also.The Modern Data Stack and the Emerging AI StackMatei Zaharia [00:12:34]: Yeah. That's all, beautiful. And I, I feel like the last time this happens, there was the rise of the modern data stack.Matei Zaharia [00:12:42]: I don't know if it's that useful. I'm, I'm curious in your postmortem.Matei Zaharia [00:12:46]: I think most peopleSwyx [00:12:47]: AgreeMatei Zaharia [00:12:47]: will agree that it is finally dead. but maybe this arises to a new modern AI stack that, like, does the same thing.Matei Zaharia [00:12:52]: I don't know.Reynold Xin [00:12:54]: I think the modern data stack was a pretty useful thing, probably even up until this day. I think what, maybe for the audience who don't understand the history, I think the modern data stack is effectively decomposed into you need a layer to ingest the data in, you need a layer to transform your data, and then all of this are run, and then you need a layer to maybe visualize your data. And all of this runs on some data warehouse, or later on, as we're doing data warehouse or lakehouse.Reynold Xin [00:13:21]: I think that concepts are all very powerful and very useful. They enable a lot of workloads. What people eventually run into is a question of unification and consolidation is, hey, do you really need to chop all this into different pieces and work with so many different vendors and platforms in order to get, like, a very simple visualization done, right? So I think, like, over time, everybody started realizing that customers are pushing us. We started, we can realize that, so we started building more and more capabilities and trying to consolidate. And at the end of the day now, customers don't have to worry about having me hook up five different systems in orderMatei Zaharia [00:13:55]: YeahReynold Xin [00:13:55]: produce a chart. But the. I think, honestly, something like this is probably happening, in how many different frameworks do you want to hook up together in order to produce, like do a very simple agent.Matei Zaharia [00:14:06]: Just to be clear, I would say the core of this is this common API on top of all the harnesses. So the API is like, you've got an agent session, and you can send in a message or, like, a file. That's what you can send in, and then you get out, these streams as it's streaming text or as it's doing tool calls. And, or the other thing you can send in is you can, like, tell it to cancel a turn. So that's the API. Now, the thing we did is we could get you that on top of, like, cloud code running in a terminal, Codex, Py, OpenAI SDK, all that stuff. We map them all to that same interface. So that is something that you'd have to maintain yourself if you built your own, like, agent orchestrator, and then whenever cloud changes its API, you gotta, tweak your thing or it's gonna lose some messages. So that's the thing that's valuable to maintain. Then on top of that, like, we built a few apps. I think we built a pretty cool UI and stuff, but that's, And we built a security and control piece, which I'm excited about. But it's that common interface, so we don't. We. That doesn't try to be a stack. And in fact, you could plug in your own UI on top of this, server. That, and that's one of the use cases we care a lot about, ‘cause we want to use this in our own products.Compute, Sandboxes, and Databricks ScaleSwyx [00:15:20]: Yeah. It should be everywhere.Matei Zaharia [00:15:22]: Yeah.Swyx [00:15:22]: I think one of those things that is really interesting to me is, like, well, first of all, I'll, I'll endeavor to do everything and not call it the modern AI stack because like it needs a different name.Matei Zaharia [00:15:32]: Yeah.Swyx [00:15:32]: But like, yes, like, so one of the first people that told me about compute, sandboxing was Nikita from Neon.Swyx [00:15:39]: Because a lot of people think about Neon as like, well, it's serverless Postgres with, like, the separation of compute and storage and, instant branching and all those things. But every database company is also a compute company.Matei Zaharia [00:15:51]: Yeah. Yeah.Swyx [00:15:52]: And so he was showing to me his whole, his sandboxing solution. I don't think he have ever launched it.Matei Zaharia [00:15:57]: So our sandbox solution, the reason we could build it so quickly was because we realized if you just take the actual Lakebase architectureSwyx [00:16:05]: YeahMatei Zaharia [00:16:05]: and remove the database from it, by the coming from NeonSwyx [00:16:08]: Exactly, rightMatei Zaharia [00:16:09]: you have this sandboxSwyx [00:16:09]: Every database company has it already, yeah.Matei Zaharia [00:16:11]: Now, there are some differences. For example, in the one to support this particular workflow, it's important to have local persistence,Swyx [00:16:19]: YeahMatei Zaharia [00:16:19]: because you want your state to persist. Your libraries, you don't have to install your library every time, right?Matei Zaharia [00:16:24]: whereas the Neon architecture, because of the separation of storage from compute, you don't need persistent local disk.Swyx [00:16:30]: Yeah.Matei Zaharia [00:16:30]: So there's some differences.Swyx [00:16:32]: Yeah.Matei Zaharia [00:16:32]: But the, at the end of the day, yeah, it's, Yeah, so this is when you run, like, a coding sandbox. Like, if I use it, yeah, we have the dev env internally at Databricks. There's, like, many, like, tens of gigabytes of data just for, like, all the source code and, like, artifacts and stuff that I built, and I want that to come back next time, so.Matei Zaharia [00:16:51]: Yeah.Matei Zaharia [00:16:51]: But yeah.Matei Zaharia [00:16:52]: Before the show, we was talking about some statistics that might be surprising at the adoption.Matei Zaharia [00:16:56]: It could be internal, it could be external, whatever comes to mind, just to impress people the scale this is happening.Swyx [00:17:02]: So we, on the analytics side, I think we launchedReynold Xin [00:17:06]: Maybe 50 or 60 million virtual machines a day across all three clouds, so we're one of the biggest compute orchestrators out there.Reynold Xin [00:17:13]: Stuff for sure for CPU compute.Swyx [00:17:14]: Yeah.Matei Zaharia [00:17:14]: Yeah.Reynold Xin [00:17:15]: the. And all of this process, I think exabytes of data, I joked about depending on which time zone you are, typically before you have breakfast, Databricks would have processed exabytes of data already on that day. and on Neon, it's pretty interesting, too. It's launching, I think, 13 million databasesSwyx [00:17:34]: YeahReynold Xin [00:17:34]: a day now.Swyx [00:17:35]: Yeah, to me that was, like, aReynold Xin [00:17:36]: And that's just likeSwyx [00:17:37]: Like, what do you mean?Matei Zaharia [00:17:38]: Yeah. And that's the point.Reynold Xin [00:17:40]: And a lot of those were thanks to agent- agents and branching experimentationSwyx [00:17:44]: YeahReynold Xin [00:17:44]: because we made it so easy and so quickly, and thanks a lot to Nikita's team, to launch databases. It's, the. So it's changing the way people use databases.Swyx [00:17:54]: Yeah. Okay, we're gonna go into more database talk in a bit, but I wanna make sure we close up anything on Omnigentt. you mentioned, you were excited about the securityOmnigent Security, Contextual Policies, and Spend ControlsSwyx [00:18:03]: control side.Matei Zaharia [00:18:04]: Yeah.Swyx [00:18:04]: a lot of companies are figuring that out right now, as well as the spend side.Matei Zaharia [00:18:08]: Yep.Swyx [00:18:09]: what have you found there?Matei Zaharia [00:18:11]: Yeah, so I spent quite a bit of time talking to internal users, developers, security team, managers, and also lots of customers, and there's a few things. Like, first of all, one thing, that immediately was. became obvious is for security, there's this tension between, like, usability and security. And, the way people do. Like, a lot of coding agents today have very basic things like you can tell me which tool patterns I'll allow or disallow or whatever. It's like yes or no. But that puts you in a very tough spot. So just as an example, like, should my agent be able to read, some confidential documents, or let's say, should it be able to install new packages from npm, which, maybe it's compromised. Yes or no? Like, maybe I wanna allow it. Should my agent be able to publish stuff to the company website? Well, if I'm using it to code on the website, yes. But should it be able to do both, so it can, like grab a confidential document and be prompt injected and leak it? Probably not. So the thing we decided we need is stateful or what we call contextual policies where you keep track of the state of that session. It's not like is it allowed to push to the marketing site or not, but, like, hey, if it did a risky thing, like it installed, a old package from npm, or it read, like, 1,000 confidential docs, then no. Then don't, don't do it. Otherwise, maybe it's okay. That's one example of, like, moving that trade-off so it's both more secure and more useful by having a more powerful engine, essentially. This requires tracking sessions. The other piece that was interesting there is, like, there are these very level events it's doing, and you want some libraries on top that parse them. Like, for example, we have a, MCP server on Google Drive internally. It's got 60 API calls. like, how do I know which of those, like, will share a document with stuff on the internet and which ones won't? It's, it's annoying. So we designed in Omnigentt the policy layer so that it's functions and you can have libraries. Like, someone can make something that maps the level events to high-level ones, and then you write a policy about the high-level things that came out. so and thatSwyx [00:20:25]: This is related to the Panther,Matei Zaharia [00:20:27]: Yeah, Panther is. will help with that. PantherSwyx [00:20:30]: YeahMatei Zaharia [00:20:30]: a similar idea on the event processing side, and it's Python-based versus a weird custom language. this is more, as in realSwyx [00:20:39]: I didn't even know we were good yeah.Matei Zaharia [00:20:41]: Those things are happening, yeah.Swyx [00:20:42]: Yeah.Matei Zaharia [00:20:42]: So yeah, but these are the cool things. I think the contextual or stateful part, and then the way it can be libraries, and that was another reason to make it open source because others will write libraries and, like, we and our customers can use them. And the final thing, because it's stateful, one of the states we track is how much you spent in that session. So I can. I've had, like, I ask an agent to debug something, and it spent $500 because it decided to read a lot of log files and burn a lot of tokens. but I can literally say, “Okay, launch a agent to do this and cap it to spending $5.” Like, ask me for permission if it needs more. And because we're counting that within that session, it'll pop up and tell me, “Okay, you spent five, $5. Do you wanna go on?”Reynold Xin [00:21:27]: So important context here. Matei spent the last five years, a lot of his time was architecting Unity Catalog at DatabricksMatei Zaharia [00:21:34]: YeahReynold Xin [00:21:34]: which is the governance layer for data.Matei Zaharia [00:21:35]: That's right, yeah.Reynold Xin [00:21:36]: And he's combining expertise at that layer together with all the AI governance he knows.Matei Zaharia [00:21:41]: Yeah.Swyx [00:21:41]: DoMatei Zaharia [00:21:41]: But I also spent a lot of time being annoyed by coding agents and getting prompts.Matei Zaharia [00:21:46]: And also as theReynold Xin [00:21:48]: All the aboveMatei Zaharia [00:21:48]: I don't want to end up on the front page as, like, I installed some weird npm package and leakedSwyx [00:21:53]: YeahMatei Zaharia [00:21:53]: all the code, so I'm especially paranoid. But also I have very little time, so I don't want to sit there approving, like, do you want to run a 20-line, bash script, yes or no? so that's why I spend a lot of time figuring out, like, how can I make it as safe as possible and not annoying?Swyx [00:22:10]: Yeah. Is safety and mmm, let's call it security a bigger concern than token maxing or token budgets? which one is, likeMatei Zaharia [00:22:19]: Oh, yeah, they're both there. I don't know. I guess it depends on the type of company you are. So I think, some companies, like, the budget is, limited and, they really care about thatSwyx [00:22:34]: you can be Uber and still be concerned?Matei Zaharia [00:22:36]: Yeah. Oh, yeah, totally. Yeah. If you haveReynold Xin [00:22:38]: for us, securityMatei Zaharia [00:22:39]: YeahReynold Xin [00:22:40]: super paramount.Matei Zaharia [00:22:40]: For us, security is absolutely critical as a, cloud provider. It's, it's the most important thing, and, token maxing, we're not so worried about it yet, but I've seen the Like, for example, I talked to some consulting companies. They have, like, 100,000 employees who are all coding for customers. If those each spend, like, an extra $1,000 a month, that's, that's not fun.Swyx [00:23:04]: YeahMatei Zaharia [00:23:04]: we have, like, only a few thousand engineers.Swyx [00:23:06]: What's the policy in Databricks? Is it just unlimited or what'Matei Zaharia [00:23:08]: It's, it's unlimited, but we do. we use our own product to, like, analyze the traces and stuff, and we have a team that'looking to optimize and to see if anyone's doing something weird. And, we had some really cool insights just from analyzing current traces, like whichSwyx [00:23:24]: YeahMatei Zaharia [00:23:25]: models are better at, say, Rust versus like TypeScript or whatever. So yeah, at least in our code base.Swyx [00:23:31]: Yeah. Amazing. Obviously, I have to ask the token question, obviously.Matei Zaharia [00:23:34]: Yeah.Swyx [00:23:34]: I think it'sReynold Xin [00:23:34]: YeahSwyx [00:23:34]: it's a key thing. But yes, security and control above that, and figuring out a sane layer there you can have some autonomy, but, not too much.Matei Zaharia [00:23:43]: Yeah. Yeah, and we wanna make it super easy. As a engineer, you should set a thing. So in Omnigentt, you can ask your agent, “Set a policy on yourself to do this.” So it can likeSwyx [00:23:52]: But if there's something I should be showingMatei Zaharia [00:23:53]: YeahSwyx [00:23:53]: I don't, I don't see it on the GitHub, but,Matei Zaharia [00:23:55]: Oh, yeahSwyx [00:23:56]: there's justMatei Zaharia [00:23:56]: Well, in the docs there's something.Swyx [00:23:57]: Yeah, this is it.Matei Zaharia [00:23:58]: You can look at it later.Swyx [00:23:59]: Okay. Yeah.Matei Zaharia [00:23:59]: Just look in the docsSwyx [00:24:00]: YeahMatei Zaharia [00:24:00]: contextual policies if you wanna see.Swyx [00:24:04]: I just like to point peopleMatei Zaharia [00:24:05]: look at the built-in policies.Swyx [00:24:06]: Yeah.Reynold Xin [00:24:06]: Yeah.Swyx [00:24:06]: If you want to, follow up on this is exactly where to look, right?Reynold Xin [00:24:10]: Yeah.Matei Zaharia [00:24:10]: Yeah. yeah, and the story of these is, like, I just wrote, like, I wrote a doc with like 10 ideas for things before as you were working on them. Well, that was, like, my wish list of things people asked, and I told the team, like, “Hey, can you do like at least five of these for the launch?” And then they just got back with all of them, so.Swyx [00:24:29]: Oh, wow.Matei Zaharia [00:24:29]: so you can come up with more, but them- some of them are just meant to be examples. really you can intercept, like, any event the agent is making, and you can then either block or force it to ask the user or, like, allow, and you can update state to keepSwyx [00:24:45]: YeahMatei Zaharia [00:24:45]: track stuff.Swyx [00:24:46]: Yeah, ‘cause ultimately you're, I think of you as, like, a systems designer.Swyx [00:24:50]: You let people plug in, right? That's the wholeMatei Zaharia [00:24:51]: YeahSwyx [00:24:52]: modus operandi of what you do.Matei Zaharia [00:24:53]: Yeah.Swyx [00:24:54]: It's likeMatei Zaharia [00:24:54]: And we care a lot about also composab- like, can someone else write a library that others use, whichSwyx [00:24:59]: YeahMatei Zaharia [00:24:59]: this is meant to.Reynold Xin [00:25:00]: There's also a batteries included philosophy hereMatei Zaharia [00:25:03]: YesReynold Xin [00:25:03]: probably very similar to how you did Spark, which is you could just start using.Swyx [00:25:06]: Yeah.Matei Zaharia [00:25:06]: Yeah, that's right. It has to be good out of the box at certain things, and then you can build your own things on top that, like, we don't wanna do. But in Spark, if you just wanna like, I don't know, like read a table or do, like, a aggregation, it should be awesome at that out of the box.Building on Omnigent: Contributions, Startups, and AnalyticsSwyx [00:25:23]: Yeah. People wanna catch up on Omnigentt, they should watch your keynote.Swyx [00:25:26]: they should go through the GitHub and the docs. If they wanted to contribute, or they want to build on this ecosystem what would you call out as the most high-leverage places get involved?Matei Zaharia [00:25:36]: Yeah, do get involved in the Discord and in GitHub. Our team is there, is monitoring, and, some of the things people ask for we just built ourselves. Some of them, we're, we're collaborating with them to build it. and also tell us, likeSwyx [00:25:49]: Yeah, they're gonna be veryMatei Zaharia [00:25:49]: how you would like to use it because I think especially for developers, like, everyone wants it to work their own way, and a really good developer tool, like you have to hear the feedback on all the ways and figure out the abstractions and how to let people customize. So we'd love to hear, like, if you think, “Hey, I, I don't want it to work this way,” tell us. We really just wanna get that compatibility layer across agents and then let you do stuff on top.Swyx [00:26:14]: Yeah. is there any, in terms of like the startup side, I'm, I'm a founder.Swyx [00:26:18]: I wantMatei Zaharia [00:26:18]: YeahSwyx [00:26:18]: I see an opportunity, I wanna get in front of you. What's your request for, like, a startup that, like, I wish someoneMatei Zaharia [00:26:23]: Oh, like you wanna integrate with us?Swyx [00:26:24]: someone was working on this.Matei Zaharia [00:26:26]: Oh, for a startup?Swyx [00:26:27]: Yeah.Swyx [00:26:28]: Like, your, you got your own startup. It's doing well.Matei Zaharia [00:26:30]: Yeah.Swyx [00:26:30]: But like, if you weren't working on your own startup, what is, like, obvious that you should You advise many startups too, obviously.Matei Zaharia [00:26:37]: I do think, just as a company with a lot of engineers, like anything that helps me make sense of how people are usingSwyx [00:26:46]: SpendMatei Zaharia [00:26:46]: coding agents and,Swyx [00:26:48]: Yeah. AnalyticsMatei Zaharia [00:26:48]: spend, but also quality or like you should write, you should add this skill, or you should write this thing, or your agents are really horrible at tasks involving this service, so I go spend time. That would be nice. yeah.Swyx [00:27:00]: Yeah. The closest I've found is, this team, GitAI.Matei Zaharia [00:27:03]: Oh, cool. Yeah.Swyx [00:27:04]: They started with, like, we will just do, code and human attribution, but they're building the analytics layer on top of that.Matei Zaharia [00:27:12]: Yeah.Swyx [00:27:12]: I do think, like, there are a bunch of, like, artificial analysis is obviously,Matei Zaharia [00:27:18]: Yeah, they have their benchmarksSwyx [00:27:18]: doing super wellMatei Zaharia [00:27:19]: YeahSwyx [00:27:19]: with their stuff. so there's, there will be people. I think this is like the domain of consultants first, but then peopleMatei Zaharia [00:27:26]: YeahSwyx [00:27:26]: will build software that, let's say, it's kinda like the management planeMatei Zaharia [00:27:29]: YeahSwyx [00:27:30]: for coding agents.Matei Zaharia [00:27:30]: Yeah, I think there'll be a lot of insights there. You have it in other areas.Swyx [00:27:34]: Okay. Well, and then the other, big thing is your dream engine.LTAP: Lake Transactional/Analytical ProcessingSwyx [00:27:39]: maybe you wanna tell the story of, LTAP.Reynold Xin [00:27:45]: So, and background with. I'm, I'm gonna make people listen to our Ankur Goyal episode where we talked about SingleStore, HTAPMatei Zaharia [00:27:52]: YeahReynold Xin [00:27:52]: and all that history.Matei Zaharia [00:27:52]: Yeah. The LTAP idea is pretty simple. so if people have heard of the, Ankur's, talk about HTAP, it's effectively the world of databases. Sorry, there's like maybe a lot of context needs to be injected here. The world of databasesSwyx [00:28:06]: I am happy to be the database podcast that I'm forcing people to, like, learn your databases, guys.Swyx [00:28:11]: You cannot vibe code with just markdown files.Reynold Xin [00:28:13]: Yeah.Swyx [00:28:13]: Like,Reynold Xin [00:28:14]: It's one of the most important fundamental systems technologies out there. But the world of database effectively split into roughly two halves. There's what we call OLTP databases, which are transactional, and think of your Postgres, your MySQL, your Oracle databases, and the other side is what we call analytics, and sometime might refer to term OLAP. And the difference is on OLTP, you typically have maybe run some transaction on some event that looks up at one specific row. We update that row, right? It's a very oriented data structure. And on analytics, you're trying to reason on the data. You're trying to compute, “Hey, what's my revenue per store? What's my. How's my website doing every day?” And then you, eventually want to probably end up running anal- machine learning on it to predict, “Hey, how will my maybe sales be going in the future?” they are so very different architecture, and everybody start with OLTP databases. Every app, when you become serious enough, that needs more than markdown files, you need to have a database. You want to lose your data, you want to have some transactional consistency. But once you want to reason on the data, if you only have like- A hundred rows, it's probably okay to run it on your Postgres or your own, your MySQL database. But once you have more data and want to run more complicated analysis, the very analysis might crush your Postgres database. So you start doing, getting data out of the OLTP databaseSwyx [00:29:35]: Replication.Reynold Xin [00:29:36]: Replicate them into the analytic systems and just startSwyx [00:29:39]: Yeah, which for people, Elasticsearch is, like, aReynold Xin [00:29:42]: Yeah. So some of them get into Elasticsearch for, like, blocked analysis. A lot of our customers obviously get into Databricks to run more sophisticated things.Swyx [00:29:51]: Yeah.Reynold Xin [00:29:51]: And there's this term called CDC, whichMatei Zaharia [00:29:54]: Change data captureReynold Xin [00:29:55]: change data capture. and what it does, it reads the binlog of the database, and if you don't understand what binlog is, it's fine. The, but it's a little delta of the data, and it reconstructs based on the delta, the state of the database, on the analytics side. But CDC is, like, a very painful thing. It's how standard in the industry, everybody uses it, but, it ends up being. I think many data engineers ends up being waken up at, like, 3:00 a.m, because there's some pipeline thing.Swyx [00:30:22]: my explanation is, like, Airbyte is like a, became a $5 billion company just doing CDC.Reynold Xin [00:30:27]: Yeah, exactly.Reynold Xin [00:30:28]: CDC is, like, a veryMatei Zaharia [00:30:30]: It's hard.Reynold Xin [00:30:30]: It's one of the most boring but one of the most fundamental operations, like, powering modern society.Matei Zaharia [00:30:37]: huh.Reynold Xin [00:30:37]: But it's so brittle that, we joke that it's, should be called continuous data corruption, because you might change your schema on your OLTP database, and then the CDC pipeline fails to handleSwyx [00:30:48]: YeahReynold Xin [00:30:48]: the schema change.Swyx [00:30:49]: Yeah.Reynold Xin [00:30:49]: And then everything goes out.Swyx [00:30:51]: And there's all sorts of tricks that you can do, like, you add in, like, some versioning or whatever, but yeah.Reynold Xin [00:30:55]: Yeah, but it's a very, in general, very complicated. Like, I think at my keynote, I asked the audience put up their hand if they love their CDC pipeline. Only, like, maybe two people put it up. So if single store, like, about maybe a decade ago, I think the industry had this idea, hey, what if I built a single database that can handle both workloads? Now I don't.Swyx [00:31:12]: Which, like, by the way, every database person ever has ever always dreamed about this.Reynold Xin [00:31:15]: Yes. Yes.Reynold Xin [00:31:16]: This is the holy grail of database engineering is why not build a single system that can do both of this? But it ends up just being a lot of compromises. one, I think one of the first issue is that, hey, each. they say Postgres has a massive ecosystem, right? You want to be using the tools that's built for Postgres. And Spark, for example, had a massive ecosystem. There's a lot of libraries you want to use. If you were to create now a new thing, you don't have a ecosystem. You tend to create a new, smaller proprietary API, and you're lacking both, and it's also very difficult to make it performance-wise to be, comparable on either side. So it ends up being sucking on both. And our whole idea of LTAP, it's obviously a wordplay on the term HTAP, is that we think this is HTAP done right. HTAP wants to build a single engine for both. We think you can get 99% of what you need by unifying the storage, and just have a single storage layer. And once you have the single storage layer, if your Postgres databases are writing data in a column-oriented format, everything analytics can just go read that data directly without any delay, right? There's no pipeline in between, so all the data will immediately be available for reasoning analytics. I think I was telling some customers earlier, hey, when we talked about this is gonna be super useful for agents, I at first didn't really believe in it myself, even though we wrote that positioning.Lakebase, Agents, and Live Operational DataMatei Zaharia [00:32:39]: Yeah.Reynold Xin [00:32:40]: But then last night I was having dinner with a Australian customer, and they told me, “Oh, hey, one of the big issue we have is we have all these logs from our services, and we see SLA dips and want to investigate. But then there's no way for those agents to even understand what's going on in the actual databases themselves. All we see is just, like, product telemetry of the database and the services.” It would make those agents 10 times more powerful if understand, for example, who's placing those orders, what is happening, what exactly are they doing. So now I'm sold on our own message.Swyx [00:33:13]: Yeah.Reynold Xin [00:33:14]: I think it's really. It gets you the almost all of the benefits of the HTAP holy grail, which is, hey, make the data available immediately for reasoning analyticsSwyx [00:33:26]: Yeah, I think,Reynold Xin [00:33:27]: without compromiseSwyx [00:33:28]: in the way that humans are generally intelligent and want to have the ability and access to query anythingReynold Xin [00:33:34]: YeahSwyx [00:33:35]: while they do the work, they also need history and need context.Swyx [00:33:38]: And, like, where else does they get context? That's it's an analytical workload.Reynold Xin [00:33:41]: Exactly.Matei Zaharia [00:33:42]: Yeah. Yeah. And I remember when we had incidents with our databases and engineers said, “Well, I can't just run a giant query on it to see what's going on because that's gonna bring down the database and hoard it even more.” Like, that's the stuff that this gets rid of, because you spin up a whole separate fleet of machines that's doing the analytics. You're not overloading, like, the main databaseReynold Xin [00:34:02]: RightMatei Zaharia [00:34:02]: that's still trying to serve stuff.Reynold Xin [00:34:04]: Yeah.Matei Zaharia [00:34:04]: Yeah.Why LTAP Works Now: Parquet, Postgres, and LakebaseSwyx [00:34:05]: So this has been a dream for a while. what had to get done in order to get to today? Like,Reynold Xin [00:34:11]: Yeah.Swyx [00:34:11]: I feel like, you have announced variants of this several times, but it wasn't as clear as LTAP.Reynold Xin [00:34:18]: Yeah.Swyx [00:34:18]: I think LTAP is like Like, okay, we've got it, guys.Matei Zaharia [00:34:21]: This thing, yeah.Reynold Xin [00:34:21]: I was talking to somebody at Meta, and then he was asking me, “Hey, what's the catch? Why is it possible now?” And I think the reality is we took a lot of time to work on the Lakebase architecture. obviously a lot of it came from the Neon team, which is a separation of storage from compute. And it turned out it was just a tiny little step away going from that to this LTAP idea, which is, hey, we just. in the Neon architecture and in Lakebase architecture, we're writing data in oriented format to the open data lake, but in there we're writing in Postgres pages. Ali and I were spending a lot of time debating, hey, can we just change that to write in column-oriented format? And we're just debating, and one day, one of our engineers who's, like, super smart came in, he's like, “Hey, I just prototyped it. It works.”Swyx [00:35:07]: Wait, it's, prototype what?Reynold Xin [00:35:09]: Prototype, instead of storing the data in the data lake in the oriented formatSwyx [00:35:15]: ColumnReynold Xin [00:35:15]: like Postgres pagesSwyx [00:35:15]: YeahReynold Xin [00:35:16]: write them in Parquet.Swyx [00:35:17]: Yeah.Reynold Xin [00:35:18]: and he just made the observation that, hey, our storage fleet has a lot of extra idle CPUs And we could use those CPUs to do the transcoding from row to column, where row is good for OLTP, but column is good for analytics. so let's do that transcoding at that time. And as a matter of fact, once you transcode the data compresses better. So from those services writing to, for example, S3 or other data lake, like object stores, you can write them faster ‘cause now they are now smaller.Matei Zaharia [00:35:49]: Yeah.Reynold Xin [00:35:49]: So there's no overhead, it's no compromise in performanceMatei Zaharia [00:35:52]: Some CPU overhead.Swyx [00:35:54]: Yeah, because,Matei Zaharia [00:35:55]: YeahSwyx [00:35:55]: we had extra CPUs anyway.Matei Zaharia [00:35:56]: We had that fleet anyway, yeah.Swyx [00:35:57]: so the debate ended. it's one of the classics of, tech, issue of a lot of debate, but then somebody went ahead and just tried to prototype it and it worked.Matei Zaharia [00:36:06]: But, like, something this strategicSwyx [00:36:07]: That's rightMatei Zaharia [00:36:07]: and important to the company, I expect there to be, like, a kickoff thing, like a design doc. Nothing like that.Swyx [00:36:13]: Nothing like that.Swyx [00:36:14]: He just. We were debating in many meetingsMatei Zaharia [00:36:17]: Yeah.Swyx [00:36:17]: and then we're just debating whether it's possible or not from first principle.Matei Zaharia [00:36:20]: YeahSwyx [00:36:20]: and then, somebody just did it.Matei Zaharia [00:36:23]: Yeah, if you set yourself up so people do that'll be great. And that happened a bit with Omnigentt too. I think if I just had a doc on, like, we can make these together, everyone would, would think, “Oh, what about this? What about this?” But then you. if you try it out, it helps. And then if you have real users and they bash it and, like, it's still working, or in this case, if you have the workload, what the workload looks like, you can just test the same pattern then.Databricks' Culture of Fast PrototypingSwyx [00:36:47]: Yeah.Matei Zaharia [00:36:47]: Yeah.Swyx [00:36:47]: Tech aside, which is very cool, this is, like, the most important thing, the culture of innovation, and you don't have to ask my permission, you don't have like, do a whole form- formal process, just do it?Matei Zaharia [00:36:59]: Well, especially these days, I think withSwyx [00:37:01]: YeahMatei Zaharia [00:37:01]: AI, it's easier to buildSwyx [00:37:02]: But so, likeMatei Zaharia [00:37:03]: a prototypeSwyx [00:37:03]: I think you are very I made a lot of suite of, like, large companies and, like, I think that at scale, things slow down, and I'm sure you felt it already, but somehow you have this core of people that, like, are exempt. How? I think we hire and we work with really good people, and that's a very important part of it, and empowering them, but also spending a lot of time, maybe us in the trenches matter a lot also.Matei Zaharia [00:37:28]: Yeah, I think, I think first, people can adapt to being in the larger company, so that helps. And we wanna make sure they know that they can try stuff and settle debates and have a lot of examples of how it was done before, or launch a thing in beta or whatever. and then the other thing I do think as a company, like despite the size, we don't launch that many, like, products. We try to keep it pretty coherent. That's, that was the whole, like, theory of the company, was like instead of having, like, 20 Amazon services you need to set up, like a analytics and machine learning stack, you just have one, and it's, like, the same API, the same semantics across all of them, the same copy of the data. So that requires, like, unification. And then we added one more thing at a time. Like, we added storage with Delta Lake. We didn't used to do any storage. Then we added SQL, we added, machine learning platform stuff. So, but yeah, don't, don't do too many, but do those things well and, that also helps, it helps keep it manageable.Reynold Xin [00:38:33]: Yeah. The other thing we encourage a lot is instead of building, boil the ocean for everything, let's figure out how do we do it incrementally, how do we do it very quickly. Like, many of our productsMatei Zaharia [00:38:43]: YeahReynold Xin [00:38:43]: they're built in the span of weeks, and then we go to, hey. Like, usually my first question to whoever team is building is who's the target customer? Who are you working with? Are you on a first-name basis with them? Are you texting with them? I think having that very tight loop,Matei Zaharia [00:38:59]: Can you bring up another launch that comes to mind when, in this thing? I just want to give examples.Reynold Xin [00:39:04]: Omnigentt itself happened that way.Reynold Xin [00:39:05]: Yeah.Matei Zaharia [00:39:06]: Who's the customer? That's a good oneReynold Xin [00:39:34]: storage layer we did. we had, our largest customer at the time said like, “Okay, I need some. I want something in the cloud ‘cause, I. if the rest of our network is compromised, like this thing needs to be separate to store and query the events.” And then, talked to us, he said, “Okay, this is the rate of events per second. This is, like, the freshness I want. Can you do it?” So that was, like, way larger than any workload we had, and we had our, engineer, working on that, Michael Armbrust, and he worked just to make this work. And once it worked for them, it worked for everyone else. Yeah. This was early in the company, probably like four years in or something.Matei Zaharia [00:40:24]: 20- 2018?Swyx [00:40:26]: Yeah, ‘17, ‘18.Matei Zaharia [00:40:28]: Few companiesSwyx [00:40:28]: Do you have other examples?Matei Zaharia [00:40:30]: there'Swyx [00:40:31]: Maybe you have othersMatei Zaharia [00:40:31]: yeah, Clean Room, which is how you share data in a way without sharingSwyx [00:40:35]: YeahMatei Zaharia [00:40:35]: underlying data, but you allow specific operations. Those were done effectively initially just for two customers. I think the industry has a sense of, hey, maybe if you overfit to, like, one or two customers, it's gonna be really bad for you. But I think the, downside of overfitting is much smaller than the upside itself. And if you try to be too ambitious and boil the ocean, it's a much bigger problem.Swyx [00:40:58]: Yeah. Yeah.Matei Zaharia [00:40:58]: ‘Cause you might end up having no customer.Swyx [00:41:00]: Yeah, that's more, that's the more likely outcome.Matei Zaharia [00:41:02]: Yeah.Tech Companies vs. EnterprisesSwyx [00:41:03]: than you can pivot from there. I do think there is such a thing as a bad customer that sometimes you should fire. Yeah.Matei Zaharia [00:41:08]: They could exist sometimes if you drive. well, one of the challenge I think we probably see, and maybe many AI, so newer generation companies are seeing is, so tech companies are very different from tech companies or traditional enterprises.Swyx [00:41:22]: Yeah.Matei Zaharia [00:41:22]: And, if you optimize everything just for tech companies, you might have various challengesSwyx [00:41:27]: OhMatei Zaharia [00:41:27]: scaling them outside of tech companies.Swyx [00:41:28]: Okay, what likeMatei Zaharia [00:41:30]: YeahSwyx [00:41:30]: what like top three differences that you always think about?Reynold Xin [00:41:33]: Governance is a big oneMatei Zaharia [00:41:34]: I think, yeah, a big one is like, yeah, security, data privacy, governance, all that stuff. So usually if you're building some kinda like B2B or developer tool, like your biggest market is gonna be enterprises, but it's just very different. A company that's existed for like, it's had some form of IT for like 30 years, they have so many legacy systems or they operate in a regulated space. whereas a startup or, even like a, like sorta more recent tech company, all the. everything is new and pristine. So yeah, it's just different, and if you've never worked with enterprises or been in one, you just won't know about it.Reynold Xin [00:42:13]: Yeah.Matei Zaharia [00:42:13]: Yeah.Reynold Xin [00:42:13]: And the procurement process is probably quite different. There's far more stakeholders.Matei Zaharia [00:42:17]: Yeah, that is one. Yeah.Matei Zaharia [00:42:18]: Another piece that's interesting is I think some tech companies, people, will say, “Oh, I can build that myself,” right? I'll just build that myself.Matei Zaharia [00:42:27]: So then you go,Reynold Xin [00:42:28]: I don't think people say that about Databricks, butMatei Zaharia [00:42:31]: yeah, it dependsReynold Xin [00:42:32]: They do.Matei Zaharia [00:42:32]: They do?Matei Zaharia [00:42:32]: Yeah, the. Yeah, and it depends on the teams and things. So, but, on the other hand, like many of the enterprises say, “I don't, I never wanna be in the business of building that.” Like, I don't want my, whatever, I'm a retailer or something, I never wannaReynold Xin [00:42:45]: Yeah, sell clothes,Matei Zaharia [00:42:46]: be down because like some weird like nerd like couldn't get streaming pipelines working.Matei Zaharia [00:42:51]: That is not what I'm doing.Reynold Xin [00:42:53]: Yeah.Reynold Xin [00:42:53]: Yeah. This makes them great customers, to be honest, right?Matei Zaharia [00:42:55]: Yeah. But you have to understand that it's hard without having worked there and stuff, like you may not appreciate.Reynold Xin [00:43:01]: Look, I think they're all great. don't get me wrong, they have different challenges. But the, many of the tech companies, for sure there's a lot, far more DIY.Matei Zaharia [00:43:10]: On the flip side, you have people who are. they're very much experts in their domain, like they're building airplanes, they're, designing medicines, whatever, and they just want to bridge the technology, where like they don't wanna learn, databases or whatever. As cool as we think it is, even as interesting as the average software engineer might think it is to read a little bit, like they just never wanna know. They just say, “I have a, giant like, matrix or whatever with my, clinical data, like how do I, how do I like cluster it or whatever?” So yeah.The Dream Engine and Rewriting the Database StackReynold Xin [00:43:40]: Yeah. That's true. Okay, so and then I wanted to build out the dream engine, vision. where does this all lead? So one of the thing we, realized maybe a couple years back is that every single database engine out there, especially on the analytics side, are a decade old. pretty much everything that have reasonable traction are about a decade old. And they all started targeting some very specific narrow use cases, and then over time it's become more and more successful. They have grown in their ambition, and then they try to support more and more use cases. But the fastest way to support those use cases tend to be hacked around the abstractions that were initially created, that were not for those use cases.Matei Zaharia [00:44:23]: Yeah.Reynold Xin [00:44:23]: And then, but you can support them more or less okay. And before it, after 10 years of organic evolution that way, it becomes a gigantic pile of s**t.Reynold Xin [00:44:31]: the. And, but that includes Databricks. And very few company or very few systems, I think, have the gut to say, let's go start from scratch. Let's go back to the drawing board and design, knowing everything we know today after a decade of workloads and probably billions in revenue, let's attempt to rewrite it from scratch and make sure it will work and it can support all of these use cases. So we started doing that, but it's a very ambitious project. by the way, you can search on Wikipedia, there's this thing called second system syndrome.Matei Zaharia [00:45:08]: Yeah, I know that. Yes.Reynold Xin [00:45:09]: Or second system effect.Matei Zaharia [00:45:11]: Every developer must know what a second syndrome is.Reynold Xin [00:45:12]: It's you built your first thing and it works out great, and the second one's bound to fail because you become too ambitious.Reynold Xin [00:45:19]: And then you ask so many requirements.Matei Zaharia [00:45:20]: Or like you think everythingReynold Xin [00:45:21]: YeahMatei Zaharia [00:45:21]: and then you're likeReynold Xin [00:45:22]: You justMatei Zaharia [00:45:22]: you're, “I'm gonna design the perfect system this time.”Reynold Xin [00:45:24]: Yeah. And it turned out it's not perfect, and then it start failing and you're too ambitious, never launch, and you get killed. The, and the engineering team that started this, they were brilliant. I think we hired some of the best database engineers, on the planet into Databricks, and they were brilliant. Thank God it's not their second system. Many of them have built more than two in the past.Matei Zaharia [00:45:44]: Ah, nice.Reynold Xin [00:45:45]: But they were still worried about this, hey, building a database engine from scratch, I think the conventional wisdom is gonna take like five years to mature. This would be a very long-term project. It could fail. I think one of the engineers jokingly said, “Hey, maybe we just call it Reynolds Stream Engine.” If we name after a founder, maybe we then may get canceled or killed. But I think they built something pretty remarkable. they went back to. They changed the way the database engines were built from a paradigm point of view. Usually when y

In this episode of One Vision Podcast, Danny Friday, CEO and Founder of Sail, joins Theodora Lau to unpack why the "boring" corners of fintech — HSA and FSA accounts — are exactly where the next wave of meaningful innovation is hiding. Danny shares the origin story behind Sail: a claim over a Spanish-language dental receipt that exposed a deeper challenge about regulated industries: most of their software isn't broken by accident, it's broken by indifference to user experience. They dig into why no one had built itemized, embedded HSA/FSA infrastructure before now, what changed technically to make it possible, and why Danny insists AI should never make the hard calls. The conversation closes on a bigger bet: that within three to five years, every digital banking app will help people reimburse tax-advantaged expenses, and what that means for the industry.

Donuts should not be an energy drink. I'm not perfect, the Knicks won on Saturday. In this episode: – Xbox news continues to be dire . Who got the most SGF engagement? GTA VI drops its box art. 5-hour Energy doughnut flavors. NBA the Run. It's Steam Next Fest time! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Stefan, Zero the Prototype, Exageneus, Jeff Grubb Topics: Xbox may be closing studios What had the most SGF engagement? GTA VI gives us its box art Games: NBA The Run (review) Rise of the Tomb Raider 20th Anniversary Edition (review) Fatal Fury/Garou Densetsu: The Ultimate History by Bitmap Books (review) Among Us Story: On Guard Echoes of Aincrad Review & Preview products supplied by publishers SnackQuesting: 5-hour Energy Donut Flavors Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: 2K/Xbox/5-Hour Energy

it's really unfortunate that both fate/prototype and white album 2 hit their nadirs at the same time. prototype is here to remind us that women make great moms at the exclusion of everything else. over in white album 2, we start the worst route and immediately understand why it has that reputation.next time, we'll be covering the first half-ish of fate/labyrinth. for yuri teatime we're doing the remainder of the mari route. you, dear reader, don't need to read either thing.featuring co-hosts Benn Ends (@bennends.itch.io) and fen (@fenic.moe).support the show and get access to bonus episodes: https://www.patreon.com/cryingruleslink to the fate/moon archive new and improved schedule: http://moonarchive.art/schedulesection timestamps:intro - 0:00yuri teatime - 1:18white album 2 - 7:10fate/prototype: fragments of sky silver - 3:00:28outro - 4:27:45list of non type-moon works referencedwhite album 2this episode carries content warnings for discussions of misogyny, sexual assault, and ageism.email us at cryingrulesactually@gmail.com with questions, comments, and compliments.cover art by Benn Ends, intro music by Benn Ends, remaining music from works covered.

Send us Fan MailPaul Vizzio is a seasoned hardware engineering leader with deep expertise in building complex electromechanical systems and scaling them from early prototypes to full production. Currently serving as Director of Hardware Engineering at Proteus Motion, Paul led the end-to-end development of a patented 3D resistance training system that has been deployed in more than 400 locations across the U.S. and Canada. His leadership spanned the full product lifecycle—from system architecture and CAD design to manufacturing, supply chain development, and field deployment—culminating in a dramatic cost reduction to approximately 20% of the original prototype while improving assembly efficiency and scalability.  Paul's career reflects a strong ability to operate at both the startup and production scale levels. He has built and led cross-functional teams, driven design-for-manufacturing initiatives, and delivered production-ready systems on aggressive timelines, including bringing initial production units to market in under a year. His work consistently focuses on simplifying complexity—whether through system architecture decisions, supplier strategy, or thoughtful engineering tradeoffs. In addition to his work at Proteus, Paul is the founder of RemieDog, a direct-to-consumer hardware brand, and Vizeng, a consultancy that helps startups accelerate product development from concept to production. Through these ventures, he has worked hands-on across prototyping, injection molding, supplier sourcing, and go-to-market strategy—giving him a well-rounded perspective on both engineering and business execution. Paul is also deeply committed to the broader engineering community. He co-organizes a New York–based hardware meetup with over 14,000 members, serves as a visiting lecturer at Cornell Tech, and has been recognized as one of ASME's Top 25 Early Career Engineers. Across all his work, Paul brings a practical, execution-focused mindset to hardware development—bridging the gap between ambitious ideas and real-world, manufacturable products. LINKS: Paul Vizzio LinkedIn: https://www.linkedin.com/in/paul-vizzio/ RemieDog website: https://remiedog.com/ Aaron Moncur, host Subscribe to the show to get notified so you don't miss new episodes every Friday.The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment like cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us at www.teampipeline.usWatch the show on YouTube: www.youtube.com/@TeamPipelineus 

First-year Foster MBA  (Class of '27) Tejash Bagri explains how he turned a stalled application into an interview by building a go-to-market prototype before reaching out — and what that says about standing out when every candidate has the same AI tools. A practical case study for anyone in a competitive recruiting process. Tejash was part of the core organizing team for Foster's inaugural AI Spark Day and leads the school's AI and Data Analytics Society. Before his MBA, he worked as chief of staff for a group of organizations in a startup environment, where he built AI-driven workflows for research, marketing, and hiring. He reached the final sixteen of Foster's Dempsey Startup Competition and is building a product focused on AI literacy in the classroom. What you'll learn How to use a prototype to get past a resume screen when everyone's resume looks optimized Why AI fluency only matters once it sits on top of real functional or industry expertise Why you should identify the two or three areas where you're genuinely above average — and build from there A staged model for AI maturity, and where most people stall Where to keep the human visibly in control during a live interview Resources mentioned Luma and Meetup (for finding local industry events) Lovable, Replit, Databricks, Claude Code (build/prototyping tools) Company 10-K filings as interview-prep research Ethan Mollick's "jagged edge" framing of AI capability

We discuss SOOOO MANY GAMES that we had the chance to go hands-on with at Summer Game Fest! And we're joined by our returning friend Veerender, who has been doing some reporting for Unwinnable! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: Veerender Singh Jubbal for UNWINNABLE SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb, Stefan Topics: N Plus Infinity Times 2 Super Yooka-Laylee Kart Stuntman: Hollywood Tomb Raider Legacy of Atlantis Silent Hill Townfall Valor Mortis Mr Records Blue and the Quest for the Gold Pen Avatar Legends Onimusha: Way of the Sword Blood Dungeon Among Us Story: On Guard Demi and the Fractured Dream Rayman Legends Retold Order of the Sinking Star Review & Preview products supplied by publishers SnackQuesting: Nothing Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Saber Interactive/One More Level/MetaNet

Its that time of year again and the TWIG Crew are back to discuss Summer Game Fest/Not-E3 2026 in its entirety!Your Geekmasters:Alex "The Producer" - https://bsky.app/profile/dethphasetwig.bsky.socialKen Reels - https://bsky.app/profile/kenreels.comFeedback for the show?:Email: feedback@thisweekingeek.netTwitter: https://twitter.com/thisweekingeekBluesky: https://bsky.app/profile/thisweekingeek.bsky.socialSubscribe to our feed: https://www.spreaker.com/show/3571037/episodes/feediTunes: https://podcasts.apple.com/us/podcast/this-week-in-geek/id215643675Spotify: https://open.spotify.com/show/3Lit2bzebJXMTIv7j7fkqqWebsite: https://www.thisweekingeek.netJune 15, 2026

Het is gelukt: er ligt een deal tussen Iran en de VS. Komende vrijdag wordt 'ie ondertekend in Zwitserland. Dan krijgen we ook de details. Voor nu is er nog een hoop onduidelijk, bovendien moet een deel ook nog ná het tekenen worden uitonderhandeld. Toch stelt het beleggers, zeker in de VS, vast gerust. Amerikaanse beurzen staan fors hoger. Is dat terecht of voorbarig? We zoeken het voor je uit. Gaan we je ook vertellen over de nieuwste tegenslag van Anthropic. De twee paradepaardjes van het bedrijf, AI-modellen Fable en Mythos, mogen de VS niet meer uit door een ingreep van de Amerikaanse overheid. Het zoveelste voorbeeld van de bekoelde relatie tussen die twee en bovendien een pijnlijke tegenvaller zo vlak voor de aanstaande beursgang. In hoeverre die daarmee ook in gevaar komt, gaan we ook bespreken. Hoor je ook nog over: Wéér een social media verbod en in hoeverre dat een gevaar is voor social media bedrijven Een kans in defensie voor een Frans autobedrijf RvC's die aandeelhouders passeren in hun bonusbeleid Nieuwe importheffingen van Donald Trump Te gast: Jean-Paul van Oudheusden van eToro en Markets Are Everywhere BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

We go over all of the cool things from Summer Game Fest! Xbox Showcase! Nintendo Directs! And more! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb Topics: Summer Game Fest 2026 Xbox Games Showcase 2026 Nintendo Direct June 2026 Review & Preview products supplied by publishers SnackQuesting: Nothing Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Nintendo/Square Enix

Matt is back and the boys get going with the major review and giveaways and then discuss last week's follow up! We then do the news (24:42) followed by the Ringside Top Ten (32:23).  We do WEEKLY PURCHASES (33:23) and Major Mark Purchases of the WEEK (54:44). We then finish out the show with the Q&A (1:03:11) and GOOD HOUSEKEEPING (1:11:33).This episode is brought to you by Ringside Collectibles ( https://www.ringsidecollectibles.com/ ). Wrestlingfigures.com is your one stop shop for all your wrestling figure needs! Use code major to save 10 percent! SCRATCH THAT FIGURE ITCH!When: Each Friday morningWhere: Wherever you get your podcastsSocial Media:Twitter: @MajorWFPod , @TheMattCardona , @Myers_Wrestling, @majorpodnetwork @MarkSterlingESQ Instagram: @MajorWFPod , @TheMattCardona , @Myers_Wrestling, @MarkSterlingESQ , @majorpodnetwork

What if the smartest path to your future runs straight through your past? In this episode of Capability Amplifier, Dan Sullivan and I dig into how Ai is reshaping the way entrepreneurs think, create, and build.I share what I have been doing in live workshops. I use Ai to study a person's body of work, then help them shape a clearer, more exciting future, often inside a single session. We look at the tools that make this possible and why a rough working prototype can do more than a polished plan.Dan brings the strategic lens. He explains why so many entrepreneurs try to escape their past, and makes the case that their history is their biggest asset. He also walks through his free-day system, how he plans and protects his time, and why he comes back from time off with what he calls a new brain.We get into the mindset behind all of it: structure that creates freedom, the kind of client who is the best fit for this work, and why collaboration is the part of Ai that excites us most.The core idea is simple. Your past is your edge. Use it well, and Ai can help you build what's next faster than you thought possible.In this episode, Dan and I break down:How Ai can turn your past work into ideas for your next moveThe tools that make fast prototyping possible, and what each one doesWhy a rough working model beats a perfect planThe paid conversation that attracts people who are ready to actDan's free-day system and how he guards his timeWhy structure in one area of life creates freedom in anotherThe traits that make someone a great fit for this kind of workKEY TAKEAWAYSTreat your history as an asset - your past projects, content, and clients are raw material Ai can shape into your next offer.Prototype before you commit - a rough working model can teach you more in a day than a perfect plan does in a month.Add a small barrier to entry - asking people to invest a little upfront attracts the ones who show up ready to act.Decide your time off first - set the number of days you will not work this year before you fill the rest of the calendar.Guard your free days with a plan - hand work to your team in advance, and protect the time the way you protect a key meeting.Use Ai to filter, not just create - point it at your inbox to surface dropped balls, and at your calendar to match your days to your goals.Build structure so you can be creative - predictability in one part of life frees you to take bigger swings in another.Choose clients who like themselves - the best fit are ambitious people who value their own growth and have invested in it before.Time Stamps00:00 Why entrepreneurs have a real edge01:37 Mike's early-morning Ai workshop02:56 Building a member's future self, live08:55 Turning years of episodes into a book11:36 A faster way to build a business15:14 The paid coffee chat that finds better clients18:19 Dan's Bill of Rights book and faster writing with Ai25:00 Mapping Dan's capabilities with Ai35:16 Schedule your free days first36:44 How Dan guards his free days48:03 Using Ai to clear your inbox and calendar56:44 Your past points to your better futurePS – When you're ready, here's how I can help: Want to discover your next big opportunity? Meet my team for a 60 Minute, 1:1 Idea Deep Dive  here: www.AiAccelerator.com/Ai1k Ready to reinvent yourself, your business, and your brand, and create “Your Next Act”? Watch this.Discover More

Its that time of year again and the TWIG Crew are back to discuss our Summer Game Fest/Not-E3 Indie Games, Exodus, Xbox, and Nintendo Direct Showcases!Show Links:https://www.nintendo.com/en-ca/store/products/gobliiins-collection-switch/https://store.steampowered.com/app/1722800/Colossus__Eternal_Blight/https://store.steampowered.com/app/2572060/Pixel_Washer/https://www.nintendo.com/en-ca/store/products/soccer-kid-collection-qubyte-classics-switch/https://game.page/daybreakslam/ThisWeekInGeekhttps://store.steampowered.com/app/1350370/Daybreak_Slam/https://www.nintendo.com/en-ca/store/products/axe-cop-switchhttps://www.fangamer.com/products/nine-sols-gamehttps://www.youtube.com/watch?v=OcED8x2LsXEYour Geekmasters:Alex "The Producer" - https://bsky.app/profile/dethphasetwig.bsky.socialKen Reels - https://bsky.app/profile/kenreels.comFeedback for the show?:Email: feedback@thisweekingeek.netTwitter: https://twitter.com/thisweekingeekBluesky: https://bsky.app/profile/thisweekingeek.bsky.socialSubscribe to our feed: https://www.spreaker.com/show/3571037/episodes/feediTunes: https://podcasts.apple.com/us/podcast/this-week-in-geek/id215643675Spotify: https://open.spotify.com/show/3Lit2bzebJXMTIv7j7fkqqWebsite: https://www.thisweekingeek.netJune 10, 2026

We're taking a closer look at some incredible EVH Custom Shop creations from the Summer 2026 FMIC Custom Shop Dealer Event in Scottsdale, Arizona! The crew from The Music Zoo was on hand for this exclusive dealer showcase, where dealers competed for one-of-a-kind guitars through a NAMM-style lottery system. While we weren't there in person, we're checking out stills from their event coverage and highlighting some of the most jaw-dropping EVH guitars on display. Featured in this episode:

The Advantage of Rapid Prototyping in Wearable MedTech DevelopmentModern cancer treatments are getting better at targeting specific forms of cancer. However, this improved effectiveness often introduces lethal side effects. Skribe Medical is developing wearable technologies to help oncologists monitor and manage these side effects and ultimately improve cancer survivability.In Episode 45 of the MedTech Speed to Data podcast, Key Tech's Andy Rogers has a conversation with Ryan Neely, Skribe Medical's CEO and co-founder, about the startup's approach to rapid prototyping, clinical trials, and wearable technology.Need to knowCancer treatment can be lethal — The most effective drugs often come with black box warnings of harmful and lethal side effects.600,000 US patients are at risk of cardiotoxicity — Toxic drugs damage the heart, leading to complications like arrhythmia and heart failure.Managing cardiotoxicity can delay cancer treatments — Oncologists must now schedule patients for third-party ECG testing, which takes time and delays treatment.The nitty-grittySkribe Medical is developing a wearable ultrasound sensor that detects cardiotoxicity signals for use in oncology clinics. “We have a patch that can be worn to detect cardiotoxicity and really streamline monitoring of heart health,” Neely says. “Rather than an oncologist sending a patient to get a cardiac ultrasound, which could take weeks, the patch can just be placed above the heart for about five minutes. We record a bunch of different signals, pass them through an AI model, and then we can give them either a thumbs up or a thumbs down.”Neely goes on to explain how the in-clinic wearable approach delivers benefits beyond better patient outcomes. “The first device that we're building is intended to be used in the clinic by a nurse or a medical assistant. By the time the doctor is there, you've got your answer.”Designing a wearable device rather than an implant created several advantages for Skribe Medical during its early development. “In a regulated industry like medical devices,” Neely explains, “it's like a little bit of a chicken and egg where people say, ‘we'd like to see some clinical validation' and you're thinking, ‘Well, I don't have a million dollars to fund that.' In a non-invasive device, any opportunity that you can have to test, even if it's this big, bulky thing, you can get some data.”Skribe Medical's technology can extend to other aspects of oncology, including peripartum cardiomyopathy, a rare form of heart failure arising towards the end of a pregnancy. Long-term, Neely envisions building the longitudinal training data needed for predictive monitoring. “What we'd like to do is be able to say, ‘two weeks from now there might be an issue' so you can do something today that prevents any drop [in injection fraction] at all.”Data that made the difference:Skribe Medical's three founders built first prototype at home. They used their home electronics and 3D printing labs to rapidly prototype the first functional sensors.Rapid wearable development delivered data quickly, first by testing themselves and then through clinical testing.Skribe Medical conducted the first clinical tests at an ECG lab where, with consent, the wearable collected patient data for comparison with the patient's ECG results.Having clinical data so early in the process encouraged investors. Last year's pre-seed round raised $1.6 million from angels and VCs to support the next phase of device development and trials.Listen to Andy's conversation with Neely to hear more about Skribe Medical's journey, development process, and the advantages of wearable medical technology.

We're live from Summer Game Fest and IGN LIVE! We talk about a few games that we played, and get hyped for more! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb Topics: Summer Game Fest 2026 IGN Live 2026 Review & Preview products supplied by publishers SnackQuesting: 5-hour Energy Raspberry Sorbet Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Summer Game Fest

they're calling it an episode of the year. koharu has some good stuff for us to dig into but ultimately leaves us disappointed while protofragments has opinions about women that are... disappointing to say the least.next time, we'll be covering the remainder of protoframents volume 4. for yuri teatime, we're covering mari's route of cc through january 16th.featuring co-hosts Benn Ends (@bennends.itch.io) and fen (@fenic.moe).support the show and get access to bonus episodes: https://www.patreon.com/cryingruleslink to the fate/moon archive new and improved schedule: http://moonarchive.art/schedulesection timestamps:intro - 0:00yuri teatime - 1:01white album 2 - 8:41fate/prototype fragments of sky silver - 2:57:57outro - 4:05:21list of non type-moon works referencedwhite album 2this episode carries content warnings for discussions of happiness, heterosexual love, etc.email us at cryingrulesactually@gmail.com with questions, comments, and compliments.cover art by Benn Ends, intro music by Benn Ends, remaining music from works covered.

Its that time of year again and the TWIG Crew are back to discuss our Summer Game Fest/Not-E3 Indie Showcases & the main SGF Show!Your Geekmasters:Alex "The Producer" - https://bsky.app/profile/dethphasetwig.bsky.socialKen Reels - https://bsky.app/profile/kenreels.comFeedback for the show?:Email: feedback@thisweekingeek.netTwitter: https://twitter.com/thisweekingeekBluesky: https://bsky.app/profile/thisweekingeek.bsky.socialSubscribe to our feed: https://www.spreaker.com/show/3571037/episodes/feediTunes: https://podcasts.apple.com/us/podcast/this-week-in-geek/id215643675Spotify: https://open.spotify.com/show/3Lit2bzebJXMTIv7j7fkqqWebsite: https://www.thisweekingeek.netJune 6, 2026

On today's show, we dive into the cost structure of audio speakers. We start with an article that asks whether 'audiophile' speaker brands are milking you for $20,000. We also read your emails and cover the week's news. News: Important update to your DIRECTV account SVS Auto EQ Room Correction for R|Evolution Subwoofers YouTube TV adds Fox One, Peacock to Primetime Channels store Other: Monoprice Alpha In-Wall Speaker There's never been a better time to grab a new Google TV launcher Are 'Audiophile' Speaker Brands Are Milking You for $20,000 The listeners keep delivering great ideas for show topics. This week Mike LaBorde sent in an article published at headphonesty.com entitled A Former FTC Economist Quit His Job to Prove 'Audiophile' Speaker Brands Are Milking You for $20,000.  The author talks about how a former FTC economist quit his job to design and build affordable high-performance speakers.  He argued that many premium audiophile brands are significantly overpriced because they use similar OEM drivers from the same factories while charging massive markups for branding, cabinets, and dealer margins. We'll break down this article into five points we felt were interesting. The full article is linked and you may want to read it for more details. Many premium audiophile speaker brands rely on the same small group of OEM driver manufacturers (like Sinar Baja/SB Acoustics, SEAS (Scandinavian Electro Acoustic Systems), Scan-Speak, etc.). The same factories and engineering talent supply drivers to both high-end and mainstream brands, even when the final speakers carry vastly different logos and price tags. "Custom" or "proprietary" drivers are often overstated. Most brands customize only the "soft parts" (cone, surround, voice coil) on top of standard off-the-shelf "hard parts" from OEM suppliers, rather than designing and building drivers entirely from scratch. Pricing of speakers — The actual cost of the drivers is a tiny fraction of the retail price. In the Wilson Audio Yvette example, the three drivers cost roughly $530–$580 total, representing only about 2% of the $25,000+ selling price. The vast majority of the cost comes from cabinetry, finish, dealer margins (40-50%), distribution, marketing, and brand prestige, with a typical 5x markup from manufacturing cost to retail. Only a few brands truly manufacture their own drivers in-house. Companies like Focal, KEF, Dynaudio, Paradigm, and Bowers & Wilkins are exceptions. Most premium brands outsource driver production due to the high cost and complexity of vertical integration. High performance doesn't require extreme prices. Former FTC economist Dennis Murphy's Philharmonic Audio proves this by offering well-engineered speakers (like the $850/pair Ceramic Mini using quality SB Acoustics drivers) with minimal overhead, direct sales, and no lavish dealer/showroom costs — challenging the idea that great sound must come with five-figure price tags. The article essentially argues that much of the ultra-premium speaker market is driven more by branding and distribution economics than by revolutionary driver technology. What is the Cost Breakdown of Thousand Dollar Speakers? After going through the previous article we wondered what the actual cost breakdown of Passive bookshelf speakers retailing at $1,000 per pair? ThinkKEF Q series, ELAC Debut Reference, or similar mid to high end consumer hi-fi brands. They balance good performance with accessible pricing.  What follows is our best estimation based on the data we uncovered. If you are in the industry and have better data, please let us know and we will update this analysis. Sources for this analysis include - Audio Science Review, AVS Forum, WhatHifi, headphonesty.com, hubhifi, and a few others.  1. Design & Development (R&D) – Upfront Investment Typical cost: $50,000–$250,000+ for a new model line. Includes acoustic modeling, driver selection/tuning, crossover design, enclosure simulation, multiple prototypes, listening tests, and anechoic chamber measurements. For this price tier, brands often use a mix of off-the-shelf and mildly customized drivers rather than fully bespoke high-end ones.   Amortization: Spread over production volume and for this exercise we used a production run of 5,000–20,000 pairs. This adds roughly $5–$25 per pair at a reasonable scale. 2. Prototyping & Tooling Prototypes: 5–15 iterations at $300–$1,200 each which include custom cabinets, driver samples, hand-assembled crossovers. Tooling: CNC molds/jigs for cabinets, baffle cutting, or vinyl wrap tooling: $8,000–$40,000 upfront. Amortized to $2–$10 per pair. 3. Bill of Materials (BOM) – The Biggest Per-Unit Cost For a typical 2-way passive bookshelf (6.5" woofer + 1" tweeter) at this price point: Drivers - $80–$180 - 6.5" coated paper woofer (~$30–$70 ea.), soft dome or aluminum tweeter (~$15–$50 ea.). Brands like SEAS, SB Acoustics, or custom OEM. Cabinet -  $60-$130, - Braced MDF (18–25mm), vinyl wrap or basic veneer, internal damping, port tube, terminals. Real wood veneer adds premium. Crossover - $30-$80 - 2nd/3rd order with air-core inductors, film capacitors, resistors. Higher quality parts (Mundorf-level) push toward the upper end. Other (grille, wiring, hardware, terminals) - $20-$50 - Magnetic grilles, internal wiring, binding posts. Total BOM per pair: $190–$440 at volume production (typically in China or Vietnam for most brands). Premium touches (better drivers, thicker bracing, nicer finishes) push BOM toward the higher end. 4. Manufacturing, Assembly & Overhead Labor & Assembly: $25–$60 per pair (cabinet gluing/bracing, driver mounting, crossover soldering, final wiring, testing). Quality Control & Testing: Burn-in, frequency sweeps, distortion checks: $10–$25. Factory Overhead/Utilities: $35 - $50. Total Manufacturing per pair: $70 - $135 5. Full Cost Structure to Retail ($1,000/pair) We will assume a large brand that sells 20,000 units and has already invested in tooling and requires minimal new tooling for each new speaker design.  Design and R&D Amortized - $5 Prototype and Tooling  - $2 Bill of Materials - $315 - We split the $190 - $440 down the middle Manufacturing -  $103 - We split the $40 - $135 down the middle Shipping, duties etc to distributor per pair on average - $50 Total to Manufacture $474. The rest of the thousand dollars covers the distribution chain, branding, and profit. And in reality, depending on the efficiency of the factory and ability to leverage design histories from years of experience, the soft costs can be about a third of $110 we came up with, bringing the total cost to about $400. Key Variables Affecting Cost Volume: Higher production = lower per-unit costs. Driver Quality: Exotic materials (beryllium tweeters, carbon fiber) can double driver costs. Cabinet Finish: Vinyl vs. real walnut veneer = big difference. Brand Positioning: Established names (KEF, ELAC) have higher R&D/marketing allocation than direct-to-consumer brands. For comparison DIY builders can replicate similar performance for $300–$600 per pair in parts using higher quality drivers and crossover components and flat-pack or self-built cabinets, eliminating most of the overhead and markups. And after building over 30 sets of speakers I can say without doubt that what you build will sound as good as speakers costing ten times the amount. Plus you can use material that works best for you as well as customizing the look to match your decor. Even my latest set built from stock off the shelf components bought from Part Express for about $200 sound simply amazing!  

It's All Been Trekked Before #471  Season 14, Episode 24  Star Trek: Voyager #2.13 "Prototype"    We don't drink coffee, and this one certainly reinforces that stance. But is this really an episode of Doctor Who or The Orville? Because it doesn't seem like Trek.    Edited by Olivia James, with assistance from Resound.fm   It's All Been Trekked Before is produced by IABD Presents entertainment network. http://iabdpresents.com Follow us on Facebook: https://www.facebook.com/ItsAllBeenTrekkedBefore  Follow us on Instagram: https://www.instagram.com/iabdtrekked/  Support our show on Patreon for exclusive episodes, extended video versions weekly, and more: https://www.patreon.com/IABD

If you have a working product - well done. This truly is a major milestone. BUT maintaining commercial control of what you've created might be challenging.  In this episode, we contrast two founders: Founder 1, who has a no-code prototype ready to scale, and Founder 2, who let an outside agency manage her hosting and was hit with a $4,000 bill just to try and claw back her own data. We break down why legal ownership on paper means nothing without operational control of your code and servers.     Key takeaways:  The illusion of progress: Why a functioning app doesn't automatically mean you own a secure business asset. Prevention vs. cure: How to use the prototype phase to lock down your infrastructure before hiring developers. The $4,000 gate fee: The hidden financial liabilities of letting an external agency manage your cloud accounts. The 3-point audit: Crucial steps to verify who controls your GitHub, cloud servers, and documentation.  Secure your tech asset Don't wait for a surprise bill to find out who holds the keys to your technology. If you want an independent review of your prototype or current development setup, book a Technical Diagnostic with us. We don't sell development hours; we give you an unbiased evaluation of what you control, what needs fixing, and what it should realistically cost.  Book a call to find out how this would work for your business: https://calendly.com/sophia-matveeva/new-meeting Timestamps: 00:00 - Introduction: When you don't actually control your own tech 04:00 - Founder 1: Built a working prototype, now what? 06:00 - Why a technical diagnostic must come before hiring developers 09:14 - Founder 2: Real product, real users, but a dangerous hidden problem 11:37 - The $4,000 wake-up call: Legal ownership vs operational control 14:01 - The GitHub analogy: Why admin passwords matter 16:12 - Three things every non-technical founder must audit right now 18:32 - When compliance laws kick in and why this becomes urgent 20:52 - Closing and resources Free AI Mini-Workshop for Non-Technical Founders: Learn how to go from idea to a tested product using AI — in under 30 minutes. Get free access here: https://www.techfornontechies.co/aiclass Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Listen to our podcast on: Apple Spotify YouTube Audible Pandora Transcript: https://www.techfornontechies.co/blog/306-from-prototype-to-product-the-infrastructure-trap-non-technical-leaders-miss

Its that time of year again and the TWIG Crew are back to discuss our Summer Game Fest/Not-E3 Indie Showcases & Sony State Of Play!Your Geekmasters:Alex "The Producer" - https://bsky.app/profile/dethphasetwig.bsky.socialKen Reels - https://bsky.app/profile/kenreels.comFeedback for the show?:Email: feedback@thisweekingeek.netTwitter: https://twitter.com/thisweekingeekBluesky: https://bsky.app/profile/thisweekingeek.bsky.socialSubscribe to our feed: https://www.spreaker.com/show/3571037/episodes/feediTunes: https://podcasts.apple.com/us/podcast/this-week-in-geek/id215643675Spotify: https://open.spotify.com/show/3Lit2bzebJXMTIv7j7fkqqWebsite: https://www.thisweekingeek.netJune 3, 2026

We discuss the PLAYSTATION STATE OF PLAY! Fun fact: Video Games! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb Topics: PlayStation State of Play Summer 2026 Review & Preview products supplied by publishers SnackQuesting: 5-hour Energy Raspberry Sorbet Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Sony

Pacific Fusion's sub-scale prototype delivered enormous amounts of power in a flash, setting the company up for its demonstration power plant. Also, engineering physical systems still depends on human talent, according to Impulse Space president Eric Romo. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Alphabet gaat voor 80 miljard dollar aan nieuwe aandelen uitgeven. Bijzonder, want het is voor het eerst in 20 jaar dat het moederbedrijf van Google dat doet. Met die miljarden wil Alphabet gaan werken aan zijn AI-plannen. Een koper van die aandelen hebben ze al binnen: Berkshire Hathaway. Dat koopt voor 10 miljard dollar in. Deze aflevering hebben we veel te bespreken. We hebben het over die nieuwe aandelen. Wie gaan die kopen? Helemaal nu ook SpaceX, Anthropic, Open AI vechten om de aandacht van beleggers. En wat te denken van die investering van het bedrijf van Warren Buffett: helpt ze dat de toekomst in? Verder hoor je meer over de Europese Chips Act. Het tweede deel. We kijken wat dat gaat betekenen voor je Besi- en ASML-aandelen. En we hebben het over Hewlett Packard Enterprise. Dit oudje doet hetzelfde als Dell: stunten met de kwartaalcijfers! Ook hoor je meer over: De inflatie in Nederland: 3,5% in mei AI-agent van Tencent trekt Prosus omhoog Gezelligheid op de AvA van OCI Victoria's Secret knalt omhoog - wat is hun geheim? Te gast: Han Dieperink, Chief Investment Officer bij Auréus BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Viola Roseboro’ isn’t well-known today, but she played a big behind-the-scenes role in the careers of a lot of American writers in the late 19th and early 20th centuries, shaping what’s thought of as the American literary canon. Research: “4 New Features.” Washington D.C. Evening Star. 4/29/2013. https://www.loc.gov/resource/sn83045462/1913-04-29/ed-1/?sp=10&r=-0.115,-0.055,1.648,0.596,0 Dykeman, Wilma. “Tennessee Women: An Infinite Variety.” Newport. Wakestone Books. 1993. Gorton, Stephanie. “The Strange, Forgotten Life of Viola Roseboro’.” The Paris Review. 2/24/2020. https://www.theparisreview.org/blog/2020/02/24/the-strange-forgotten-life-of-viola-roseboro/ Gregorie, Anne King. “Reviewed Work(s): Viola, The Duchess of New Dorp: A Biography of Viola Roseboro by Jane Kirkland Graham.” The South Carolina Historical Magazine, Vol. 57, No. 2 (Apr., 1956). Via JSTOR. https://www.jstor.org/stable/27566059 Howell, Isabel. “Reviewed Work(s): Viola, the Duchess of New Dorp, a Biography of Viola Roseboro' by Jane Kirkland Graham.” Tennessee Historical Quarterly, December, 1956. Via JSTOR. https://www.jstor.org/stable/42621315 McClure, S. S. “My Autobiography.” London: J. Murray. 1914. https://archive.org/details/myautobiography00mcclrich/ New York Times. “VIOLA ROSEBORO', FICTION EDITOR, 87; Former McClure's, Collier's Executive Dies--Helped O. Henry Get Start Bought Tarkington Stories Praised by Will Irwin.” 1/30/1945. https://www.nytimes.com/1945/01/30/archives/viola-roseboro-fiction-editor-87-former-mcclures-colliers-executive.html Osborn, Scott C. “Reviewed Work(s): Viola, The Duchess of New Dorp: A Biography of Viola Roseboro by Jane Kirkland Graham.” The Journal of Southern History, Vol. 22, No. 2 (May, 1956). Via JSTOR. https://www.jstor.org/stable/2954261 “Person Annotations.” From “#0088: Transcription of Letter from Willa Cather to Viola Roseboro', June 14 [1903].” The Complete Letters of Willa Cather. Center for Digital Research in the Humanities at the University of Nebraska–Lincoln. https://cather.unl.edu/writings/letters/let0088#ref001 Robinson, Phyllis C. “Willa: The Life of Willa Cather.” New York. Doubleday. 1983. Roseboro, Viola. “Begging as an Avocation.” New York World. 12/11/1887. Via New York University “Undercover Reporting.” https://undercover.hosting.nyu.edu/s/undercover-reporting/item/13733 A. W.. “Reviewed Work(s): Viola, the Duchess of New Dorp. A Biography of Viola Roseboro' by Jane Kirkland Graham.” Journal of the Illinois State Historical Society (1908-1984), Vol. 49, No. 1 (Spring,1956). Via JSTOR. https://www.jstor.org/stable/40189490 Schmalhofer, Stephen. “The Making of My Ántonia.” First Things. 12/17/2018. https://firstthings.com/the-making-of-my-ntonia/ Schmalhofer, Stephen. “Viola Roseboro’s literary garden.” The New Criterion. 12/12/2018. https://newcriterion.com/dispatch/viola-roseboros-literary-garden-10164/ Skaggs, Merrill M. “Viola Roseboro': A Prototype for Cather's ‘My Mortal Enemy’.” The Mississippi Quarterly , Winter 2000-01, Vol. 54, No. 1 (Winter 2000-01). Via JSTOR. https://www.jstor.org/stable/26476820 Skaggs, Merrill Maguire. “Willa Cather's New York: New Essays on Cather in the City.” Fairleigh Dickinson University Press. 2000. Tarbell, Ida M. “All In The Day S Work An Autobiography.” The Macmillan Company. 1939. https://archive.org/details/allinthedayswork010810mbp/ The Georgia Historical Quarterly. “Reviewed Work(s): Viola, The Duchess of Nenx Dorp. A Biography of Viola Roseboro'. Two volumes in one by Jane Kirkland Graham.” Vol. 40, No. 2 (June, 1956). Via JSTOR. https://www.jstor.org/stable/40577676 Adkins, Gilbert R. “Two Daughters of Tennessee.” Franklin County Historical Review. 1986: XVII:1, 30-42. Johanningsmeier, Charles. “Unmasking Willa Cather's ‘Mortal Enemy.’” Cather Studies. Vol. 5. https://cather.unl.edu/scholarship/catherstudies/5/cs005.johanningsmeier Williams, Jay. “Author Under Sail: The Imagination of Jack London, 1893-1902.” University of Nebraska Press, 2014. Project MUSE. https://muse.jhu.edu/book/35026. See omnystudio.com/listener for privacy information.

It's E3 time. Wait, what? Yes, we're taking the name back! Also: Modern Warfare 4, Witcher 3 DLC, Dragon Quest 12, Steam Deck prices, Directive 8020, 007 and more! AND E3 (summer game fest and ign live and playstation and nintenbdo and xbox) PREDICTIONS! Subscribe and rate us via iTunes Subscribe on: Amazon Podcasts, Spotify, iHeartRadio, Pandora DISCORD LINK Watch us on TWITCH! RSS feed: http://sidequesting.podbean.com/feed Hosts: Dali, J.J., Zach, Taylor, Sam, Tom, Jonny, Tyler With Special Guest: No one SIDEQUESTING PATREON EXECUTIVES: Punkdefied SIDEQUESTING PATREON PRODUCERS: Cricket, Zero the Prototype, Exageneus, Jeff Grubb Topics: Sonic the Hedgehog concert tour E3 2026 is next week! CD Projekt Red announce new Witcher 3 DLC Dragon Quest XII gets rebooted, now sending us Beyond Dreams Modern Warfare 4 is officially pew pew pewing this year Valve massively jacks up the price of the Steam Deck What We're Enjoying: Directive 8020 (review) Bubsy 4D (review) Obey the Insect God (review) Forza Horizon 6 Indiana Jones and the Great Circle (Switch 2 review) Mullet MadJack (Switch 2 review) 5-hour Energy Raspberry Sorbet (review) 007: First Light Review & Preview products supplied by publishers SnackQuesting: 5-hour Energy Raspberry Sorbet Music Intro: Zero The Prototype – Powerr Music Outro: N.I.M. – Choice Comments? Questions? Email us at: sidequesting @ gmail.com Image courtesy: Activision Blizzard

Climate surveys used by the War Department like the Defense Organizational Climate Survey (DEOCS) are annual check-ins to assess unit morale, cohesion and leadership trust. Traditionally, these surveys take a long time to gather and analyze by leadership. A pair of Marine Corps innovators told AI GovCast that they've created a new AI–enabled survey tool prototype that is designed to give commanders near‑real‑time insight the day‑to‑day stressors affecting Marines. The prototype, called PULSE Check, aims to close long‑standing feedback gaps that leaders say contribute to retention problems — particularly in the reserve component. Col. Prescott Wilson, chief of staff for the 4th Marine Logistics Group, said the idea emerged after a commanders' conference where Marines explained why they were leaving drilling status for the Individual Ready Reserve. "By the time we're talking to these Marines on stage, they've already made a decision … that's talent we can't get back," Wilson said. Lt. Col. Samuel Sung, an innovation officer with the Logistics Innovation Office and a Marine reservist who co‑developed the prototype, said the team deliberately focused first on whether the idea was even useful before tackling the complex security and compliance requirements of deploying AI inside the department. He added that AI-driven analysis enables more frequent surveys and faster feedback cycles, allowing commanders to test changes and measure results monthly instead of annually. That accelerated process, Sung said, can improve decision-making while also reinforcing to Marines that their feedback is being heard.

Welcome to Episode 124 of The Modelgeeks Podcast! After a small bit of banter, we share what is on our bench and what we have picked up lately.  We then cover Mail Call (keep the cards & letters coming folks!).  Don't forget Listener Spotlight.  For our Patreon Giveaway, courtesy of LionHeart Hobby we have the X Scale 1/144 P-3C Orion kit #144007 along with Caracal's newly minted  sheet #144024.Our main topic is “Spitfires, Part 1a”.  El Prez opened up his references and leads a modeler's discussion of the Prototype and Mk I Spitfire.  If you'd like to follow along with his notes you can download them here.We would like to thank all our listeners out there for the continued support you have given the show. We hope to see you out and about as we hit the show circuit. If you happen to see us at a show come on over and say hello, we may even put you in front of the mic!If you can't make it to the shows then you can still interact with us through social media, Facebook, Instagram, and of course email at: contact@modelgeekspodcast.com Also remember to surf over to the Geeks homepage at https://modelgeekspodcast.com.  Take a look at the Listener Gallery, and if you'd like to see your work there, send us your photos to contact@modelgeekspodcast.com.  File size and quantity is not an issue for us, but may be an issue for your email provider.  Feel free to send us a link to a sharing service if you use one, but please ensure the link expires at least 7 days after you send it.  We need a few days to get them published.  Make sure you check out our group / community on Facebook:The ModelGeeks Model ShackGet on there and feel free to share your work! We want to see what's on your bench.We also want to thank each of our sponsors for their support. We are very lucky to have them. When you have the time, pay a visit to their web sites, and have a look at their fine products.Please visit our Sponsors and see what new items they have:Furball Aero-DesignDetail & ScaleTamiya USABases By BillHypersonic ModelsLionHeart HobbyMatters of ScaleKotare ModelsSquadronWe are very fortunate to be able to join the scale modeling podcast community and are in the company of several other really GREAT podcasts. Hopefully, someday we'll earn our wings and be able to keep up with those guys!  Please check them all out at https://modelpodcasts.com.  It's a consortium website created by Stuart Clark of the Scale Model Podcast.Blogs:The Kit Box Sprue Pie with Frets Matters of ScaleModel Airplane Maker Inch High GuyScale Model ProjectsSupport the show via Patreon.Support the show via PayPal.Support the showModel Geeks Podcast

this time on fate/moon archive we enter the route of our second favorite closing chapter girl, koharu. as she and haruki build one of the least firm foundations for a relationship i've ever seen, the ogisou siblings suffer and koharu has her looking glass insects arc at school. also, some stuff happens in protofragments. idk, i don't think volume 3 is very good.next time, we'll be covering protofragments volume 4 prologue & acts 1-3. for yuri teatime we'll be finishing the koharu route of white album 2.featuring co-hosts Benn Ends (@bennends.itch.io) and fen (@fenic.moe).support the show and get access to bonus episodes: https://www.patreon.com/cryingruleslink to the fate/moon archive new and improved schedule: http://moonarchive.art/schedulesection timestamps:intro - 0:00yuri teatime - 0:49white album 2 - 15:04fate/prototype: fragments of sky silver - 2:18:25outro - 3:38:56list of non type-moon works referencedwhite album 2this episode carries content warnings for discussions of...email us at cryingrulesactually@gmail.com with questions, comments, and compliments.cover art by Benn Ends, intro music by Benn Ends, remaining music from works covered.

https://youtu.be/tU0kHdf7oXo Drew Allen, CEO of Grace Technologies, is driven by a mission to lead a life of adventure and impact. At Grace Technologies, that impact is tangible: the company develops electrical safety and predictive maintenance solutions that help industrial teams prevent downtime, improve productivity, and, most importantly, send workers home safely at the end of the day. We explore Drew's Product Engineering Framework — Clarify the Problem You're Solving, Understand the Constraints, Think from First Principles, Build a Prototype, and Iterate within a Time Limit — a practical approach to innovation in technical product development. Drew explains why rapid iteration beats overbuilding, how constraints can unlock better engineering decisions, and why time-boxing product development prevents teams from getting stuck in endless perfectionism. He also shares how Grace Technologies is expanding into the data center market, where rising power density is creating new safety challenges and new opportunities for growth. — 5 Steps to Engineering Breakthroughs with Drew Allen  Good day, dear listeners. Steve Preda here with the Management Blueprint Podcast, and today’s guest is Drew Allen, the CEO of Grace Technologies—the leading innovator of electrical safety products and predictive maintenance solutions that help companies maximize productivity and foster a safety culture. Drew, welcome to the show.  Hey, thanks for having me, Steve. I’m excited. I’ve really enjoyed your books, and they’ve had a big impact on our business. So it's great to have this conversation today.  Yeah, glad to have you here. So if you enjoyed the book or read Pinnacle and Summit OS perhaps, then you’re going to be familiar with this question. What is your personal “Why,” and how are you manifesting it Grace Technologies?  So my personal “Why” is to lead a life of adventure and impact. And I think that manifests in our company. We try to be as innovative as possible. Typically, around 30% of our annual sales come from products released within the last two to three years. We try to take risks, not in kind of a willy-nilly way, but we try to be smart about our risk-taking, but still make sure that we’re taking risks and we’re on the forefront of the technology edges. In our business, it’s really easy to see the impact that we have. Not many businesses get to say that we literally send people home at the end of the day. We literally save lives, and we don’t take that responsibility very lightly. And so it’s a little way that we can kind of make a dramatic impact in the world. We get a lot of stories of people who have been going to go to work on an electrical system. They were just moving throughout their day, trying to do their work, and all of a sudden they saw that our unit was indicating and they were about to put their hand on that bus bar or that cable, and they stop and realize, “Oh, there's still power there.” And they could have been either severely injured or dead. And so we get those stories quite frequently, and so it's really impactful to hear that, to know that we're doing that kind of good in the world.Share on X  Yeah, I love that. And yes, I mean, it’s dangerous. My son actually worked for an electrical contractor last year, and they told him the story that they were in big industrial facilities and one of their workers was trying to fix a light and he got shocked. And the only way to save him was to kick the ladder out from under him. He ended up breaking his leg. So it was kind of funny story afterward, but also a very dramatic one at the same time. So yeah, you definitely want to avoid situations like that.  100%.  And I think what you do is really great, and focusing on the safety aspect is very important as well. What I'm wondering—because I'm a framework guy and I'm always looking for new frameworks people have developed—and obviously within the Pinnacle system there are a lot of frameworks. But you’ve been doing this for a few years, and I’m sure that you have come up with your own. So what is your favorite framework—something simple enough for listeners to understand in maybe three to five steps—that could help them improve their business?  My favorite framework really comes from Jim Collins' work on the Flywheel. And I think you reference it in your book as well, Steve. I think if people can see their business—or even their life—through the lens of a flywheel, it becomes really useful. So in our business, our flywheel is relatively simple. And I think there are probably only a limited number of flywheel models companies really operate under. Our version of a product flywheel works like this:  We start with amazing new products and services. If we do that well, we naturally excite our channel partners. When our channel gets excited, they can't help but get us specified by customers. Once we're specified by customers, it grows our revenues, unit sales, and customer base.Share on X And as that happens, it expands the power of the brand, which allows us to set high prices and deliver higher gross margins to be able to reinvest into R&D for amazing new products and services. And I think while maybe there’s a couple of pieces in ours channel-specific or whatever, we found that most of my focus as CEO is just constantly figuring out how do I push those pieces of the flywheel, and where is the current bottleneck in the flywheel? Is the bottleneck getting the specifications? Is the bottleneck the wrong product? One of the challenges in our business is that we have a 12-month product development cycle plus an 8-to-12-month sales cycle for products. So if I miss, I'm basically down for two years. And I don't really know it early enough unless I'm paying close attention to the leading indicators—which we've become much smarter about over the last few years. A lot of business people tend to focus only on lagging indicators, and they're not always clear on what the leading indicators are in their business—or how correlated those leading indicators are to the lagging results.  I'll say this: the most recent releases of Claude have made it incredibly easy to input a bunch of variables and figure out how strongly your leading indicators correlate with your lagging success. I probably haven't done that kind of work since college and deep regression analysis or logarithmic modeling. And now Claude makes it so easy. So if you can identify the leading indicators tied to your future success, and you know there's an 80% or 85% correlation, then that leading indicator is almost as valuable as the lagging indicator itself. And if your lagging indicator is revenue, that gives you a pretty strong signal about what you should actually be focusing on.Share on X Yeah. That's a great way to reverse-engineer those leading indicators from the outcomes you're targeting. I love that. So when you say that one of the flywheel cogs is for people to specify your product, what do you mean by that exactly? We come out with a product, and then we get meetings with large end-user customers. Okay? Our products are really sold into two major markets. One is the industrial market—everything from where things come out of the ground, like oil and gas, pulp and paper, and mining—to all the downstream processing industries, including automotive, tire and rubber, consumer packaged goods, food and beverage, all those kinds of industries like shipbuilding, naval yards, and all those kinds of environments. All of these places have complex electrical and control systems. And when a factory or facility is being designed or upgraded, someone is writing a specification document.  That specification literally defines how everything should be built—including the machinery and the electrical systems. So we want to make sure our products, from an electrical safety perspective, are included in those specification documents. We've been really fortunate to get into some of the world's largest companies' control specificationsShare on X companies like Amazon, Procter & Gamble, GM, and Ford. These large organizations really see the value in our products from both a productivity and a safety standpoint. And that's really the key to our success: driving specifications with large end-user customers. Yeah. So it sounds like when you get specified, then essentially you’re baked in to their product, and then you kind of have, at least for the time being, you have a monopoly of supplying them. Is that the case?  Yeah. And some specifications are a little more open. They may specify our type of device, or they may even list competitors as alternatives. And then it becomes a little more of a street brawl when we're competing. But either way, we want to grow the overall market for products like ours—not just our own products—because we're in the safety business. And I think it's really shortsighted to be selfish about that. I think we have much more opportunity if the overall pie grows than if we focus only on increasing our individual slice of the pie. Of course, I'm going to do the best I can to grow our share. But ultimately, electrical safety and electrical reliability in factories are still major problems. And the number of deaths, injuries, and life-changing accidents we hear about—it continues. We hear those stories all the time, and we don't want those things to happen. Yeah. Love it. So your business is innovation-driven, and you are designing these electrical appliances that increase productivity, reduce risk. What is the major success factor in being able to come up with new products along these lines?  Yeah, so I guess I'll tell you my biggest failure. Okay? I'll use the failure to illustrate the point. That's good. I think I was about 25 or 26 years old, and I was working with a customer—a very large publicly traded company. They liked our product, but they needed it in a different form factor, which meant we had to re-engineer the product, retool it, and go through all the certification processes again. And I just took it hook, line, and sinker. I thought we were really onto something. I probably had delusions of grandeur and thought I was some Steve Jobs-like figure who could just wave a magic wand. And by the way, I don't think that's actually what Steve Jobs did, so I want to put that out there for a minute. I think what we see from the outside as consumers is often not the reality inside the company. So I just want to say that.  But anyway, instead of taking small iterative steps and quickly prototyping and getting feedback, I did a full design based only on feedback from that one customer before cutting tooling and paying all the certification costs. It ended up being about a $400,000 project. And I think we still have inventory from that project—and this was probably 12 years ago or something.  Oh my gosh.  So what have I learned now? The best innovation happens through rapid iteration. A lot of your listeners have probably seen the Elon Musk SpaceX Raptor engine images, right? You have this incredibly complex engine that goes up into space, and then the next version looks much simpler, and the third one looks like it came out of a sci-fi movie. It's almost like the Picasso bull sketches.  There are nine different bulls until Picasso eventually gets it down to two lines, and you still understand it's a bull. Okay? And I think that's what iteration looks like. What you see as a final product from Apple is actually the result of thousands of prototypes, iterations, and constant testing behind the curtain. For me, I want to test with customers directly, because you get much better feedback that way. I think the more rapidly you can prototype, the more rapidly you can iterate and get real customer feedback, the more innovative your product is going to be. I really think that when you try to make too big of a leap all once, you usually can't get there. And I think 10% compounded over time is a much better strategy than trying to go 10X in a single shot. Yeah. It's kind of the Kaizen principle of continuous improvement through small steps. But actually, I was listening to an interview with Jensen Huang, and he said he hated Kaizen because he wanted more first-principles thinking—completely rethinking things from the ground up. And I think Elon Musk does that too. Although honestly, I think he does both, which is really interesting. But I love Kaizen. I think it's a wonderful concept to continually improve things. We do work with SpaceX. We don't do much with NVIDIA—a little bit, but not much. And while you can think from first principles, you still have to iterate on the prototypes, right? Yeah. You have to constantly try things. So you may have a first-principles vision of where you want to go, but you're not going to get there by designing the perfect thing 100% upfront. You get there through iteration. Yeah. So you really need both. That’s a really good point. So Drew, what is it that you are trying to figure out in your business right now?  So over the last 12 to 18 months, our largest orders have started coming through the data center sector. Back in 2015 or 2016, I tried to push into data centers, and we just had no product-market fit. None. Everybody kept talking about the data center business, and I was like, “Well, they're just not using our products. We tried…” But what suddenly changed was the increase in power density inside data centers. And what I mean by that is this: You can now have a hundred megawatts in a traditional data center hall. That's basically the equivalent of multiple oil and gas refineries worth of electrical load inside a single data center hall. A hundred megawatts—yeah.  And so the electrical risk profile has really changed. And because of that, now there is product-market fit. So now I'm trying to figure out: How do I set up the right distribution channels? How do I build the right sales network? Because data centers definitely buy differently than our traditional industrial customers. And then, as CEO, you always have to decide where you're going to focus your time. I've been very intentional about not losing the core identity of Grace through our industrial business. So I've had to build a separate group that really focuses on the data center market. That also means bringing in a board member who really understands the data center space. Right now, though, it's a huge growth area for us, so figuring that out has been super important.  The other thing is that over the last few years, we've launched an incredible number of new products. But a lot of those were what I'd call necessary innovations—things we had to execute on quickly. So now we're finally getting to a point with the engineering team where we can start from a clean sheet of paper again. We can think more deeply about where we really want to go—maybe even from first principles. Because honestly, I feel like we've been operating in a reactive mode for the last few years. So it's going to be really exciting to finally have some white space again and be able to innovate more intentionally for the future. Yeah. So you want to have that sci-fi engine for Grace Technologies that SpaceX has for the rockets, right?  Yeah. That's the goal. And our mission is to accelerate the industrial world to zero downtime and zero harm. Until we get there, it's a pretty lofty goal. And I think it's going to require a lot of innovation to achieve it. So what's the process when you're trying to get to that kind of innovation—when you're rethinking something from first principles? Is there a process you can follow or work through? Or is it more about letting your imagination wander? Like when Albert Einstein came up with the theory of relativity—he was daydreaming in the patent office and suddenly had these insights. What's your process for getting there? So first, we want to be really clear on the problem statement. Getting absolute clarity on what problem we're solving is the first step, right? If you don't know what problem you're solving, there's no amount of engineering you can throw at it that's going to make sense. Second is understanding the constraints. For one of our new product development efforts, we decided to move away from a digital platform and go to a fully analog electrical platform because we realized one of the main constraints was size. And size is really determined by the power supply.  When you run a digital circuit, you're operating at something like 100 to 300 milliamps. If you go to an analog circuit, you're operating at the microamp level. So you're literally at around 10% of the power requirement. And if you're at 10%, you can make the power supply about 90% smaller. Now, it's much easier to do things digitally because you just program the microcontroller. You're not dealing with the art of analog circuitry. So I think that's a good example of thinking from first principles. Okay—we're solving this problem. One of the major problems inside that problem is the size of the unit. How do we reduce the size? Well, we have to reduce the power supply. How do we reduce the power supply? Reduce the power draw from the circuit. How do we reduce the power draw? Go analog. And that's how we got there.  But even then, the amount of prototyping and iteration we've done on that over the last 12 months has probably involved 75 major iterations of the circuit, tons of prototypes, tons of testing, and countless tweaks that probably never even hit my radar. I know I'm getting a little nerdy for the podcast, but I think it's a really good example. And if you take it out of engineering for a minute and look at our sales engine, it works similarly. Ultimately, what drives sales? You have to have unique selling conversations with customers. So everything I focus on becomes: How do I maximize those conversations?  Getting people interested in the product and actually getting to the point where we can sit down and fully tell our story—that's kind of my North Star.Share on X I know that if we increase the number of those conversations, sales will increase. And of course, there's optimization on both sides of the meeting—follow-through, follow-up, competitiveness, lead quality, all of that. But the big North Star in our sales function is: How many unique selling conversations are we having with customers? Okay. I love it. So this is a framework that I’m more excited about than the flywheel because we are almost 400 episodes in. Here is what I heard. So be clear on the problem, step number one. Understand the constraints, step number two. Think from first principles, that’s step number three. Build the prototype, step number four, and perform iterations. Step number five, essentially the optimization. And with the sales engine, it’s kind of a similar process that you described, but less technical perhaps.  Yeah. And one other piece too is that all of this has to be time-constrained.  What do you mean by that?  I think people miss that point. If you don't have a time constraint, it will literally take forever. So inside of your framework, you need a time box, and I think that's really critical. I like what Elon says about timelines. He assigns timelines that he believes have about a 50% probability of being achieved. I think that's actually a really smart way to think about it. And that means that about 50% of the time, you're going to miss the target. But that's okay, because you want that level of tension and flexibility in the system. You still have to be aiming at something. If you don't put a time box around iteration, if you don't set launch dates, product development can drag on forever. For example, we have a major trade show every fall, and we always try to have products ready for that event. That creates a really effective natural time box for us. And if your business doesn't already have natural time boxes, then as CEO, you need to create them. Yeah.  Otherwise, iteration, product development, and even sales initiatives can lose momentum. Sales naturally has monthly, quarterly, and annual cycles. But in engineering especially, having that time box is really important. Yeah. And what I read about Jensen Huang is that one of the innovations he introduced was creating two overlapping time boxes. So instead of having just a single one-year cycle, he created two teams working on separate one-year cycles that were staggered by six months. That way, they could effectively iterate on the product twice as fast. I thought that was amazing. And I also had a client—an engineering software company—whose challenge was that they couldn't launch a product for three years because they were such perfectionists. So we talked about putting a stake in the ground and committing to a release every year. Maybe the scope would have to change, maybe they'd have to narrow it or simplify it, but the release date itself would become a forcing function. And once they did that, their product suddenly started gaining much more traction. That's a fantastic point. Yeah. I was advising one of the companies we're invested in. I was actually on a call with them yesterday, and they're starting to run out of time a little bit, right? And that was literally the conversation we had. “Okay, we had this wish list. We had this dream product-development idea. Now what can we realistically get done in three months?” So we started stripping out everything that couldn't be completed in that timeframe, and those items will move into the next iteration cycle. But I think it's super critical. You've got to put a stake in the ground and force things through. Yeah. Constraints create creativity. Yeah. that's fantastic. So, penultimate question—I have one more just to wrap things up. If you had a magic wand, what would be the one thing you'd want to fix inside your company over the next 12 months? I think we have a lot of relatively new and young salespeople. We operate in a very technical field, and trying to get them to really understand the application space from a technical perspective is difficult. And when you're selling to engineers, they can immediately tell if you don't know what you're talking about. So the challenge becomes: How do you compress 20 years of experience into a brand-new sales or business development person in just a few months? Trying to accelerate that learning curve is probably one of our biggest challenges. We're trying to use AI to help visualize the kinds of equipment our products go on.  And frankly, even after doing this for years, I still run into things I don't fully understand. But I have enough experience that I can have a relatively technical conversation, understand the constraints, and work through the problem set. But compressing that knowledge into a faster training process—that's definitely been hard. I'm also opening a sales and engineering office down in Austin, so I'll be moving there in June. The plan is to build out another R&D facility there. That's one of my major time boxes over the next 12 months—getting that operation fully up and running. But from a more holistic perspective, I think really solving that sales knowledge-transfer problem is critical. And on one of our product lines, honestly, I'd love ideas from listeners.  We have an IoT condition-monitoring product, and we've been very successful at selling pilot programs. What we've found, though, is that it's been much harder than expected to convert those pilots into broader expansion deployments. So we're asking ourselves: Are we making the barrier to entry for the pilots too low? Are we attracting the wrong type of customer—people who don't actually have the authority to make a larger purchase decision? Or are we missing something in the sales process that would better position the expansion after the pilot succeeds? Those are a few of the areas we're really trying to figure out right now. Yeah. Love it. That’s fascinating. So if the listeners would like to learn more about Grace Technologies—or maybe you spark something in their mind and they want to reach out and communicate to you, or have access to someone in your company to answer the questions about the products. Maybe they want to have more safety and more productivity with their electrical safety equipment. Where should they go, and where can they find you? Yeah. You can reach me at drewa@gracetechnologies.com or find me on LinkedIn. I think it’s Allen-Drew is my handle, but Drew Allen on LinkedIn. I love hearing from people. I really enjoy advising startups, especially in the industrial electrical space. If you have a product idea or you’ve got a startup, I do a lot of advisory work, and we’ve invested in a number of startups as well. We’re really passionate about having more innovation in the industrial world. I believe that the reindustrialization of America is super important, and I’m a big proponent, and so love to support companies that are doing cool things in our space.  Oh, that’s fantastic. So if you’re listening to this and you have a startup in the engineering space, then definitely this is your opportunity to get mentored by Drew, and maybe to get opportunities that you don’t have yourself. So reach out to him. And if you just enjoyed this conversation with an entrepreneur who’s innovating fast and who is working from first principles and time boxes and and leveraging constraints, then definitely stay tuned on this channel because I have more wonderful guests coming on every week. So thank you Drew for coming, CEO of Grace Technologies, the leading innovator of electrical safety products and predictive maintenance solutions. So thanks for sharing your wisdom and thanks for listening. Important Links: Drew's LinkedIn Drew's website Drew's email: drewa@gracetechnologies.com

Most founders get the order wrong. They build for two years, then ask a marketer how to sell it. Connie Lund flipped the script. She started Zaboom with no dev team, no code background, and no VC funding. What she had was 50+ years of combined marketing and product experience, a GoHighLevel account, and a willingness to break things at 2 a.m. on a Sunday. In this episode, Connie walks Matt through how she built a working voice AI product for insurance agencies—using N8N, GoHighLevel, and Claude as her "CTO." Then landed paying customers in under 90 days. She also gets honest about what AI can't do for you: use good judgment, know when to stop, and figure out if what you're building actually matters to anyone. They cover the difference between outputs and outcomes, why talking to customers beats building in isolation every time, and how the traditional "raise VC, hire devs, ship product" playbook is getting replaced by something scrappier and faster. If you're a founder who's been waiting until the product is perfect to talk to people, this episode will make you uncomfortable. Good. Listen to this Startup Hustle episode now.⏱️ Episode Breakdown00:49 Introduction to Connie Lunn and Zaboom02:33 The Journey of Building Zaboom05:41 Tech Stack and Tools Used11:58 Prototype vs. Final Product16:16 Marketing and Customer Engagement21:09 Coaching and Helping Others25:31 Democratizing Technology and Skills32:08 Final Thoughts and AdviceLinks & ResourcesConnect with Connie Lund on LinkedInWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

This listener wants to sell non-screen entertainment kits for kids. How can she go from concept to on-the-shelf product? Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week. Show notes: SideHustleSchool.com Email: team@sidehustleschool.com Be on the show: SideHustleSchool.com/questions Connect on Instagram: @193countries Visit Chris's main site: ChrisGuillebeau.com Read A Year of Mental Health: yearofmentalhealth.com If you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.

The Kill Screens attempt to secure Petunia's fingerprint and access the Mothership safe! Slug demonstrates a firm handshake, Atom secures a sweet prize, and Aux plays the keyboard. Support us at Patreon.com/Naddpod to get access to the after-show and a bunch of other Naddpod content!Music / Sound Effects Include: "Neo Galaderon" by Emily Axford."The Prototype" by Emily Axford."Atom" by Emily Axford."Implicated" by Emily Axford."The Gambling District" by Emily Axford."Mothership Lobby" by Emily Axford."Galavanting" by Emily Axford."The Inkling Syndicate" by Emily Axford."Cyberskitch" by Emily Axford."Slug" by Emily Axford."Paetina" by Emily Axford."Corrupted" by Emily Axford.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Kill Screens go undercover at a Mothership gala! Aux hacks a security system, Atom tries diplomacy, and Slug loses another tooth. Support us at Patreon.com/Naddpod to get access to the after-show and a bunch of other Naddpod content!Music / Sound Effects Include: "Neo Galaderon" by Emily Axford."The Prototype" by Emily Axford."Aux" by Emily Axford."The Arcade" by Emily Axford."Synth Night" by Emily Axford."Atom" by Emily Axford."Mothership Lobby" by Emily Axford. "Galavanting" by Emily Axford. "The Inkling Syndicate" by Emily Axford."Cyberskitch" by Emily Axford."Slug" by Emily Axford.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.