Podcasts about Nikita

In this Episode of It's Time To Man Up, Nikita sits down with former NWA wrestler Magnum TA! Its a hard-hitting interview that you won't want to miss. 

On episode 59 of NWA Crock and Roll Shawn, Shiff and Logan talk all things Starrcade 86. An all time tag match, psychology of a First Blood match, Jones gets a haircut, a hoss level Street Fight, Nikita goes for the gold & more!

In this episode of Q&A with Koloff, Nikita Koloff sits down with former professional wrestler "Double J" Jason Justice for a conversation about wrestling, redemption, and the life-changing power of faith. Jason shares his journey from chasing his dream in the wrestling business to battling addiction, and how a personal encounter with Jesus Christ transformed his life. The two discuss Jason's experiences in the independent wrestling scene, memorable moments from his career, and the impact of attending Man Camp with Nikita Koloff and Lex Luger. Jason also asks Nikita thoughtful questions about humility, prayer, and the wrestlers he wishes he could have faced in the ring. Whether you're a wrestling fan, looking for encouragement in your faith journey, or inspired by stories of hope and second chances, this episode offers honest conversation and powerful testimony that reminds us no one is beyond God's redeeming grace.  

n this inspiring episode of Q&A with Koloff, Nikita Koloff welcomes broadcaster and podcast host Dan Scott for a conversation that spans professional wrestling, personal testimony, and the power of faith. Dan shares his journey of overcoming childhood sexual abuse, the importance of speaking out, and how publicly telling his story became the beginning of healing. He also discusses how his relationship with Christ transformed his life and ministry. The conversation also takes a nostalgic look at old-school professional wrestling, with Nikita reflecting on protecting the wrestling business, staying in character as the "Russian Nightmare," and the remarkable fan reactions that came with living his persona both inside and outside the ring. The episode wraps up with stories from Nikita's football career, his NFL aspirations, and the unexpected path that led him into professional wrestling. Whether you're a wrestling fan, someone seeking encouragement, or interested in stories of redemption and perseverance, this episode offers heartfelt conversation, humor, and hope.

- Join David's email list, RECEIVE 7 FREE GIFTS!!- https://www.DavidCBarnettList.com Can Charity-Owned Businesses Outperform Private Companies? New guest – Nikita Gossain and Brad West In this special discussion, I'm joined by attorney Brad West and acquisition entrepreneur Nikita Gossain to explore an innovative business ownership model that challenges conventional thinking. Tune in as we discuss how charities could acquire profitable businesses, the potential advantages of charitable ownership, and whether this model could create stronger businesses while generating long-term funding for charitable causes. We'll also explore business acquisitions, succession planning, governance, impact investing, financing acquisitions, and how this concept could provide new exit opportunities for business owners. This is a ‘must see event' for business owners, acquisition entrepreneurs, investors, and anyone interested in the future of business ownership and dealmaking. Be sure to join live so that you can ask questions, replay will be available. It will be going live Thursday July 09, 2026 at 2:30 PM Atlantic Time and 1:30 PM Eastern Time See you there! David C Barnett **** Do Business with David using these incredible internet links... - David's Blog where you can find hundreds of free videos and articles, https://www.DavidCBarnett.com - Book a call with David and let him help you with your project, https://www.CallDavidCBarnett.com - Learn how to buy a successful and profitable business in a risk-controlled way https://www.BusinessBuyerAdvantage.com - Get help selling your business, https://www.HowToSellMyOwnBusiness.com ----- Special Xero offer: Get 90% off for 6 months using this link: https://referrals.xero.com/DavidCBarnett_xero . Terms & Conditions apply.* See the video of my Xero story here: https://youtu.be/LfaGUfwStqo Youtube music licensing code: 5PJWQOE5ZZHTQSRY

Na Shifts se letos hodně mluvilo o longevity. Vystoupil Andrew Huberman, Daniel Křetínský přinesl rentgeny, MRI skeny a překvapivě detailní přednášku o zdraví. Do studia proto přišli doktor Jiří Paseka, který stojí za HX Clinic, a Nikita Poljakov, organizátor Shifts, abychom se k tématu vrátili s odstupem a po prvních vlastních vyšetřeních. Co znamená starat se o zdraví dřív, než se z člověka stane pacient? Stačí jednou za čas krevní testy u praktika? Jak se z dat z hodinek, glukózového monitoru, fyziotestů a anamnézy skládá dlouhodobá strategie zdraví? A nejde nakonec o to, kolika let se dožijeme, ale v jakém stavu svůj život prožijeme?Partnerem podcastu je advokátní kancelář ROWAN LEGAL a mezinárodní poradenská společnost RSM.

In this week's episode, we are celebrating NAIDOC Week. SPA's First Nations Lead, Nikita Westbury, speaks with Professor Chelsea Watego, a Munanjali and South Sea Islander woman with a career spanning 20 years in Indigenous healthcare, research, advocacy, and innovation. Nikita and Chelsea discuss what transformative change looks like when we talk about eliminating racism, facilitating self-determination, and uplifting Aboriginal and Torres Strait Islander voices. Speech Pathology Australia acknowledges the Traditional Custodians of lands, seas and waters throughout Australia, and offers our respect to Elders, across all times and places. The Speak Up podcast recognises the central role of yarning and oral storytelling in Aboriginal and Torres Strait Islander culture, how this translates to knowledge translation, and that colonisation has interrupted these practices of Language and knowledge sharing. The Speak Up podcast acknowledges the need for truth-telling and deep listening, the central role that Language plays in connecting Aboriginal and Torres Strait Islander People with Culture, Country, and Community, and the interwoven nature of health, and social and emotional wellbeing. We recognise that the Traditional Owners of the Lands across Australia have been here since time immemorial, and that their sovereignty over this land, was never ceded. Free access to transcripts, as well as a full list of resources and references for this podcast, is available via the SPA Learning Hub (https://learninghub.speechpathologyaustralia.org.au/). You will need to sign in or create an account. For more information, please see our Bio, or for further enquiries, email speakuppodcast@speechpathologyaustralia.org.au Disclaimer: © (2026) The Speech Pathology Association of Australia Limited. All rights reserved. Important Notice, Please read: The views expressed in this presentation and reproduced in these materials are not necessarily the views of, or endorsed by, The Speech Pathology Association of Australia Limited (“the Association”). The Association makes no warranty or representation in relation to the content, currency or accuracy of any of the materials comprised in this recording. The Association expressly disclaims any and all liability (including liability for negligence) in respect of use of these materials and the information contained within them. The Association recommends you seek independent professional advice prior to making any decision involving matters outlined in this recording including in any of the materials referred to or otherwise incorporated into this recording. Except as otherwise stated, copyright and all other intellectual property rights comprised in the presentation and these materials, remain the exclusive property of the Association. Except with the Association's prior written approval you must not, in whole or part, reproduce, modify, adapt, distribute, publish or electronically communicate (including by online means) this recording or any of these materials.

In this episode of Q&A with Koloff, Nikita Koloff welcomes branding strategist, entrepreneur, and former Disney creative Matt Ferguson for an inspiring conversation about faith, leadership, purpose, and making an impact in the marketplace. Matt shares his journey from playing football at Florida State alongside legends like Deon Sanders, Charlie Ward, and Brad Johnson to helping shape storytelling and branding at Disney before launching the Ever After Group. Along the way, he explains how his relationship with Jesus has influenced every aspect of his life and career, whether serving churches, nonprofits, or major organizations. Nikita and Matt also discuss the influence of great coaches, the life lessons learned through sports, the importance of authentic faith in the workplace, and their unforgettable experience together in Israel. The conversation culminates with a powerful reminder that faith isn't just about eternity—it's about living with purpose, peace, and hope every day.

In this episode, we talk about DEX aggregation with Nikita and Flynn, who showcase BazaarSwap and everything they have built.Swap now https://swap.thorchain.org/ THORChain is a decentralized crypto exchange. THORChain is the first and biggest DEX for Bitcoin. You can use any self custody wallet to swap and there's no KYC required.Timestamps:00:00:00 Intro00:03:00 Kenton update00:04:00 Flynn introduction00:05:00 Flynn came into crypto looking for privacy and better ways to manage money00:06:00 Nikita starts00:08:00 Nikita talks about the difficulties of crypto and simplifying the experience00:09:00 BazaarSwap talks about the convenience of their DEX aggregator00:12:00 BazaarSwap screen share begins00:14:00 BazaarSwap demonstration00:16:00 Rate comparison and accuracy00:18:00 Axelar wrapped asset rugging event00:20:00 Swap execution metrics00:21:00 Nikita talks about the benefits of DEX aggregator unification with AI00:25:00 Monero is supported and will be ready00:27:00 TON discussion and gold derivatives00:29:00 Wallet support for TON00:31:00 Nikita: More pathways are coming00:33:00 We are excited about TON because of all the possible connections and momentum from recent announcements00:34:00 Telegram is the #1 place for crypto because it has a built-in wallet00:36:00 Do you track quote accuracy and execution?00:38:00 Nikita: We try to provide multiple metrics for users00:40:00 Nikita says he has worked on many products, and there has always been some degree of price differential00:41:00 ETH to BTC swap00:44:00 When THORChain adds TON, many new possibilities open up00:46:00 Multiple execution parameters for swappers (cheapest, fastest, etc.)00:48:00 THORChain is superior to everything else out there00:49:00 Why did we choose to integrate THORChain? They maintained the ethos!00:53:00 THORChain is more optimized for handling large swaps01:00:00 Swap logic breakdown: liquidity versus the router01:03:00 THORChain explanation01:05:00 How do you get into crypto from fiat?01:07:00 Rujira capabilities discussion01:11:00 Price oracle exploit discussion and comparison on BazaarSwap01:16:00 There are lots of shady things going on01:17:00 You have no way of knowing if brokers are doing shady things01:18:00 Kenton: Is your slippage related to price impact?01:23:00 XMR demonstration was done on his birthday01:26:00 OpenUSD is the next attempt at a CBDC01:28:00 There is a competition right now to capture the infrastructure01:32:00 Latest information on the Clarity Act01:37:00 Privacy is not the default on THORChain, but obfuscation is impossible01:39:00 THORChain is decentralized and permissionless01:42:00 THORChain is the solution01:50:00 Nikita's final thoughts01:51:00 Kenton outro01:52:00 Is there a token related to BazaarSwap?01:54:00 Fees? (They do not charge additional fees; it varies by provider.)01:59:00 What Flynn loves about THORChain

En este episodio del FYE Podcast nos sentamos con Nikita, director de marketing de Mount To Coast en Europa y pieza clave en la expansión europea de Mount to Coast. Repasamos la historia de esta marca que ha irrumpido con fuerza en el sector de la ultradistancia, analizando cómo han logrado desarrollar zapatillas que ya cuentan con récords mundiales y una gran aceptación entre los corredores de élite y amateurs. ¿Cómo es posible que una marca nueva compita de tú a tú con los gigantes del sector? ¿Qué papel juegan los atletas en el desarrollo y testeo de los nuevos modelos? ¿Hacia dónde va el mercado del trail running en los próximos años? Nikita nos cuenta cómo funciona la marca por dentro, su visión sobre la saturación del mercado y la importancia de mantener la esencia del trail running a través de proyectos personales y aventureros. Además, adelantamos detalles sobre las futuras novedades de la marca y cómo gestionan la alta demanda de sus productos.

► Tickets für unsere Tour: ⁠https://www.eventim.de/artist/die-deutschen► SECRETS DORTMUND:http://www.SECRETS-DORTMUND.de/TICKETSRABATTCODE: DIEDEUTSCHEN Erfahre die bewegende Lebensgeschichte von Stand-up-Comedian Nikita Miller und seine ehrlichen Ansichten zu Freiheit und Politik. Ein tiefgründiger Austausch.In dieser intensiven Episode von 'Die deutsche Podcast' begrüßen wir den Stand-up-Comedian Nikita Miller zu einem weitläufigen Gespräch, das weit über die Comedy-Bühne hinausgeht. Wir beleuchten seine Wurzeln als Russlanddeutscher, die traumatische Deportationsgeschichte seiner Familie nach Kasachstan und wie diese Erfahrungen seine Sicht auf die Welt geprägt haben. Nikita gibt persönliche Einblicke in seinen Umgang mit dem Ukraine-Konflikt, warum er als Künstler bewusst Haltung zeigt und welche Konsequenzen dies für seine Fanbase hatte. Das Gespräch entpuppt sich als philosophische Reise über die Bedeutung von Identität, die Komplexität des modernen Freiheitsbegriffs und warum man manche Dinge im Leben einfach aussprechen muss, auch wenn es wehtut. Begleite uns durch ein Gespräch voller Humor, Düsternis und ehrlichen Lebensweisheiten eines Künstlers, der kein Blatt vor den Mund nimmt. Egal ob du Fan von Comedy, politischer Reflexion oder einfach tiefgründigen Porträts bist, diese Folge bietet exklusive Einblicke in das Leben eines der derzeit spannendsten Comedians Deutschlands.Alle Kanäle | Nikita Miller► https://www.nikita-miller.de/► www.youtube.com/@nikitamillerofficial7168► https://www.instagram.com/nikita_miller_official► https://www.tiktok.com/@nikita_miller_official► https://www.facebook.com/comedy.nikitaAlle Kanäle | Die Deutschen► Folgt uns: ⁠https://linktr.ee/diedeutschen⁠► Werdet Teil der Community auf Patreon: http://www.patreon.com/diedeutschenpodcast/membership⁠

Was passiert eigentlich hinter den Kulissen der globalen Rüstungsindustrie? Wie sehen die Orte aus, an denen Kriege verkauft werden – lange bevor irgendwo der erste Schuss fällt? In dieser Folge spricht Thilo mit Nikita Teryoshin, einem international ausgezeichneten Dokumentarfotografen. Seit über zehn Jahren reist er zu Waffenmessen auf der ganzen Welt und dokumentiert mit seiner Kamera eine Welt voller Widersprüche: Champagner neben Raketen, Jakobsmuscheln vor Panzern und Marketing-Slogans für Produkte, die zum Töten entwickelt wurden. Gemeinsam sprechen sie über die Banalität des Krieges, die Inszenierung der Rüstungsindustrie, moralische Grauzonen und darüber, warum Nikitas Bilder oft mehr über Krieg erzählen als Fotos von der Front. Außerdem geht es um seine russischen Wurzeln, seine Haltung zum Krieg in der Ukraine und die Frage, wie man das Unsichtbare hinter bewaffneten Konflikten sichtbar macht. Eine Folge über die Hinterzimmer des Krieges – und darüber, wie normal das Unvorstellbare wirken kann. Hast du Fragen, Feedback oder Anmerkungen? Schreib uns eine Nachricht an [amr@pqpp2.de](mailto:amr@pqpp2.de) oder auf Instagram: https://www.instagram.com/allesmussraus_podcast/ und wenn du möchtest unterstütze unsere Arbeit auf Patreon: https://www.patreon.com/c/AllesMussRaus?l=de Du möchtest in „Alles Muss Raus“ werben? Dann hier* entlang: https://podstars.de/kontakt/?utm_source=podcast&utm_campaign=shownotes_alles-muss-raus

1. Caspa, Distinct Motive - Affinity 01:02 2. Aweminus & Phiso - Spenk 03:39 3. OOTORO - Chanel 06:31 4. Die By The Sword - Land of Wolves 08:07 5. FROIDY - TECHNOLOGY 10:10 6. Zero - Stop Scheming 12:14 7. Audien, Sam Harper - Sacrifice (Emrys Extended Remix) 14:45 8. Envy - Want U 17:53 9. crawdad sniper - Lobble Robble 21:12 10. Becking - Back The Funk 23:38 11. QUIX - Fear 26:09 12. Taiki Nulight, Casey Club & Diligent Fingers ft. P Money - Take Out Your Team 27:45 13. Smoakland, Mystic Methods - Mystic Smoak 30:01 14. Poni - All Alone 32:40 15. LUMBERJVCK, Mary Droppinz - DUBSTEP 4 BADDIES 36:25 16. rSUN, Floret Loret - Mind 38:56 17. Hydraulix, Mary Droppins - RiGHT TiME 41:16 18. YDG, SampliFire & Z3LLA - Heart On Fire 44:15 19. Nikita, The Wicked, Cerdin - TTY 47:20 20. Khamsin - VENOM 50:39 21. Mike Kerrigan - Bad Boy Rude Boy 52:44 22. Bluff - Hold On 56:33

On this episode of Q&A with Koloff, Nikita Koloff welcomes radio host and podcaster Dan Scott for a candid conversation about wrestling, faith, healing, and perseverance. They share memorable stories from the golden era of professional wrestling, including the importance of protecting the business and what it was like for Nikita to live his "Russian Nightmare" character both inside and outside the ring.

"In crypto, if your money's gone from your wallet, everything can be gone in one second immediately."   Most people picture online scams as one person in a basement sending sketchy emails. The reality is far bigger and far more organized. In this episode, recorded at the Safeguard conference in Colorado Springs, host Jordan sits down with Nikita, co-founder and CEO of ⁠Chain Patrol⁠, to talk about how modern fraud actually works. We get into why stolen crypto almost never comes back, how scam operations now run like real companies with engineers and developers, and how artificial intelligence has made sophisticated attacks cheap enough to target everyday people instead of just high-value executives. Nikita also opens up about the human cost behind these operations, including trafficking victims forced to run scams against their will, and a documentary his team has been quietly working on.   We also discuss one of the largest crypto thefts in history, how the attackers pulled it off, and why the weakest point in nearly every story is a person rather than a piece of code. Whether you work in fraud and security or you just want to understand how to keep yourself and your family safe, this one is packed with stories you have not heard and warnings you will want to remember.   Visit ChainPatrol to learn more: ⁠https://chainpatrol.com⁠   V I D E O S T O W A T C H N E X T   Think you can't be scammed? Think again: https://youtu.be/bAwpKd2IlGo   From CIA to Cyber Intelligence: 2026 Cyber Intelligence Predictions! https://youtu.be/3gPkMfPU31c   --------------------------------------------  

Before she was a Netflix documentary, Reagan Simmons-Hancock had a name, a daughter, and a baby due in weeks. This is the part the cameras skipped. The Netflix documentary Maternal Instinct tells the story of Taylor Parker, who faked a pregnancy for nearly a year — fake ultrasounds, a silicone belly, even a gender reveal — before committing one of the rarest and most disturbing crimes there is: fetal abduction. In 2020, in the tiny town of New Boston, Texas, that lie ended in the murder of her friend Reagan Simmons-Hancock. Tyrella and Nikita walk through how a con artist with a fabricated oil-and-gas fortune slowly escalated toward the unthinkable. Part 1 traces Reagan's life and the years of deception by Taylor Parker that led to October 9th: the cons, the fake inheritance, the invented villains, and the warnings no one could legally act on. Part 2 covers everything Netflix left out — what Taylor did from behind bars. Patrons have it now; everyone else, it drops Thursday. Content warning: this episode discusses graphic violence and the death of an infant.

In this inspiring episode of It's Time to Man Up, Nikita Koloff welcomes Kevin Johntson, a dedicated Man Camp participant and staff member, to share his remarkable journey of faith, freedom, and personal transformation. Kevin reflects on how discovering Man Camp led him to a deeper relationship with God, lifelong friendships, and a renewed sense of purpose. He opens up about breaking free from a 25-year tobacco addiction, eliminating unhealthy habits, and embarking on a health and wellness journey that resulted in significant weight loss, increased energy, and improved overall well-being. Together, Nikita and Kevin discuss the life-changing impact of Man Camp, the importance of spiritual, mental, emotional, and physical health, and the power of serving others. Kevin also shares stories from his experiences at camp, including witnessing God work in the lives of men from all walks of life. Whether you're seeking encouragement, freedom from unhealthy habits, or a deeper walk with God, this conversation is packed with practical insights and powerful testimony that will challenge and inspire you to become the man God created you to be. For more information about Man Camp and related ministry resources, visit the websites mentioned during the episode.

Caysen Allison stabbed a classmate more than once and got 10 years. Karmelo Anthony stabbed Austin Metcalf once and got 35. Both said it was self-defense. Part 2 opens at Anthony's sentencing in Frisco, Texas — including the victim impact statement from Austin's mother that reframes the whole debate — then sets the case beside a strikingly similar one out of Belton: same self-defense claim, very different ending. Tyrella and Nikita break down the 35-year sentence, the data on sentencing disparities, the jury and the Batson challenge, the online firestorm, and the appeal — built on the record, not the noise. Start with Part 1 for the trial and the verdict. Content warning: fatal violence involving minors, and a racist remark (quoted and condemned) in the context of public reaction to the case.

Bob's pub-day pitch for his new book on AI, The God Test ... Is AI killing the nonfiction star? ... Geoffrey Hinton's path from AI evangelist to doomer ... The future of books ... Trump vs Anthropic ... Are Ukrainian drone strikes rattling Putin? ... The multiple Putins theory ... Heading to Overtime ...

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

Paul discusses the week's crime stories so far - from the extradition proceedings against Sligo crime boss Barry Young for the murder of Robbie Lawlor to Nikita Hand speaking out after Conor McGregor appeared on the Tonight Show in the US Learn more about your ad choices. Visit podcastchoices.com/adchoices

A handcuffed 17-year-old corrects the officer reading him his situation: "I'm not alleged. I did it." Behind him, 17-year-old Austin Metcalf is dying under a track-meet tent. In April 2025, Karmelo Anthony and Austin Metcalf — two teenagers from rival Frisco, Texas high schools who'd never met — ended up under the same tent at a district track meet. Four minutes later, one of them was gone, and the case split the internet long before it reached a courtroom. Tyrella and Nikita walk through the confrontation, the arrest, the closed trial, and the jury instruction that may have decided everything — reported out from the courtroom, because no recording exists. This is Part 1. Part 2 — the sentence, and a second Texas case nobody's talking about — is on Patreon now and drops Thursday. Content warning: fatal violence involving minors. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today!   Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: Smalls: Get 60% off your first order, plus free shipping and free treats for life, when you head to Smalls.com/QUEENS. SelectQuote: Save more than 50% on term life insurance at selectquote.com/queens. Veracity: Head to VeracityHealth.co and use code TFC for up to 65% off your order.   © 2026 Killer Queens Podcast. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠  

In this Father's Day special of It's Time to Man Up, host Nikita Koloff welcomes longtime friend and guest Robbie Dilmore, known to many as "The Christian Car Guy," for a heartfelt conversation about fatherhood, family, faith, and the lasting impact fathers have on future generations!

Here is the official preview to summer's sweetest festival, Crop Over 2026. It is in full swing, and this mix is what you need to get you ready and help you get familiar. The mix is in partnership with the BTMI. Hope you guys enjoy. If You Want, Buy Me A Coffee: buymeacoffee.com/blaqrosesupreme Subscribe and Listen to the Blaqrose Supreme's Podcast HERE:

Live sessions In Bridegtown Barbados with Soca artiste Faith, Nikita, Azizi & Shadia Premiering Their Crop Over 2026 Tracks

In 2005, Wade Robson swore under oath that Michael Jackson never touched him — and helped win the acquittal. In 2026, he's asking a different jury to believe the opposite. Part 2 picks up where Netflix's "The Verdict" stops. Tyrella and Nikita get into what the documentary left out: the $20M+ Jordan Chandler settlement, the Robson and Safechuck lawsuits against Jackson's companies, and the credibility questions on both sides — a memoir he didn't disclose, a Grand Canyon trip his own mother contradicts, and staff who say they saw things they never reported. It's the messy, gray-area aftermath of a not-guilty verdict — and a civil trial set for later this year. This is Part 2. Start with Part 1 for the 2005 trial itself. Content warning: discusses child sexual abuse allegations, grooming testimony, and mental health.

LFG S3E8 Podcast SummaryLufisto and Jeff review the episode.Chris Island returns with strong heel work.Mason Holliday gets her release.Coaches assign three key matches.Gargano helps Jamie Garcia break habits.Owens works with Tristan Angels.Booker promises a new Xena.Xena shows major improvement vs Nikita.Solid but flat second match reviewed.Hosts praise better episode flow.Become a supporter of this podcast: https://www.spreaker.com/podcast/wrestling-soup--1425249/support.

Sein neuer Roman läuft bei radio eins unter „richtig runde bösartige Satire zu Medien und Berlin“: Nikita Afanasjew begeistert mit „Sputnik“ (erschienen bei Voland & Quist) und heimst nebenbei immer wieder Journalistenpreise ein. Der Wahl-Berliner mit sowjetischen Wurzeln hat für DIE ZEIT, GEO und den Tagesspiegel geschrieben und inzwischen zwei Romane veröffentlicht, die beide sehr lustig sind. Im „Berliner Zimmer“-Podcast spricht er über die Schriftsteller-Fußballmeisterschaft, seine Reportage-Leidenschaft, die ihn immer wieder durch die ganze Welt führt, und den Mix aus echtem Leben und Fiktion beim Romanschreiben. Moderation: Judith Gridl & Klaus Rathje

In this episode of Q&A with Koloff, Nikita Koloff welcomes longtime friend, ministry partner, and Man Camp leader Tom Stewart for a heartfelt conversation about faith, purpose, marriage, and the impact of godly mentorship. Tom shares his journey from attending the very first Man Camp in 2019 to serving on staff and helping other men deepen their relationship with Christ. Together, Nikita and Tom discuss the life-changing experiences men encounter at camp, the importance of intentional spiritual growth, and what it means to pursue God's purpose daily. The conversation also explores Tom and Connie Stewart's nearly 39-year marriage, their work in marriage ministry, and practical insights for building strong, Christ-centered relationships. Tom reflects on attending Man Camp alongside his son, Brandon, and the blessing of sharing a deep father-son bond rooted in faith. In the Q&A portion, Tom asks Nikita about the drive and determination that shaped his life from a young age, how men can live with greater purpose and intentionality, and what true success looks like for a believer. Nikita offers powerful perspectives on purpose, personal growth, and the difference between living with expectations versus expectancy. This inspiring episode is filled with wisdom, encouragement, and practical takeaways for men seeking to grow in their faith, strengthen their families, and make a lasting impact for God's Kingdom. To learn more about Man Camp, visit mancamp.info.

Fourteen counts. Not guilty on every single one. Twenty-one years later, Netflix has reopened the case — and one of Michael Jackson's own defense witnesses is about to change his story. In June 2005, Michael Jackson walked out of a Santa Barbara courtroom acquitted of all 14 child sexual abuse charges. Netflix's new three-part docuseries "The Verdict" revisits that 2005 trial, and in Part 1 Tyrella and Nikita break it down episode by episode — the Martin Bashir interview that started it all, the raid on Neverland, and the fingerprint evidence at the center of the case. We also get into what the documentary left out: the surprise witness who blew up the "captivity" story, and the "neutral" family friend with an undisclosed tie to the prosecution. This is Part 1. Part 2 — who flipped, and where the estate stands in 2026 — drops Thursday (out now for patrons). Content warning: discusses child sexual abuse allegations, grooming testimony, and substance use. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: Rula: Rula patients typically pay $15 per session when using insurance.  Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/queens #rulapod SKIMS: Shop Everyday Cotton, and all of my favorite bras and underwear at https://www.skims.com #skimspartner  © 2026 Killer Queens Podcast. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠

Gerstenberg, Ralph www.deutschlandfunk.de, Andruck - Das Magazin für Politische Literatur

This week is the Lost In Dreams Megamix.1. Covex - Regret 00:00:432. Robokid - Without Me 00:03:543. Covex - Smile 00:06:184. Elephante & soleil - Anywhere With You 00:08:085. Manila Killa - Run Away (Manila Killa Remix) 00:11:186. MADI - Deep Feeling 00:13:097. Audien - Audien 00:16:168. Deniz Koyu & Raiden - Am I 00:19:309. Baauer - Supersonic 00:20:4710. SABAI, HALIENE & ANDe - Say It To Me 00:22:4311. Kaleena Zanders & Yung Bae - Time Never Stops 00:26:5812. Raiden - House 00:30:0313. Porter Robinson - Language 00:31:0314. Audien & Sam Harper - Sacrifice 00:32:4515. Habstrakt ft. Julienne By - Don't Let Me Down 00:35:4616. AOBeats - WannaPlay 00:39:3417. Chet Porter - Aura 00:43:2018. William Black & TW3LVE - Run 00:46:1819. Babsy. - Babsy 00:49:1520. Align & Babsy. - Heart Racing 00:52:1021. Nikita, The Wicked & Elohim - Control 00:55:0122. SPORTMODE - Circles 00:57:3223. Dabin - In The End 01:00:1624. yetep ft. Rosie Darling - Same Love Twice 01:03:1725. Daniel Allan, Louis The Child & Stresshead - Club Weapon 01:06:2926. ARMNHMR & Jessica Audiffred - Stay 01:09:2427. jigitz & Louis The Child - tell you straight (Louis The Child's Version) 01:11:3828. SPORTMODE - Backspin 01:14:4329. Slushii & HYO - Money 01:16:4330. Chet Porter - You 01:19:1231. Baauer - Tribal Hit 01:21:5032. William Black - Unlove U 01:25:0933. What So Not & Ganz ft. Joy - Lone 01:27:3034. Wavedash - Wavedash 01:30:2035. Jessica Audiffred - Mess 01:34:0936. ARMNHMR - Motion Sickness 01:37:0837. Elephante & GONE ASTRAY - Shine 01:39:5038. Wavedash - Bang 01:43:0239. Jason Ross, Dabin & Cate Downey - Everything 01:45:4840. SABAI, Elephante & Anjulie - Look At Me Now 01:48:4941. LE SSERAFIM - Easy (Johnny Chay Remix) 01:52:2542. sober rob - Atom Mirror 01:54:4443. Louis The Child & Elohim - Love Is Alive 01:57:02

On episode 54 of NWA Crock and Roll, after a perplexing last episode, Shawn, Shiff, Calum and returning guest Logan Crosland close out July 86  and their look at The Great American Bash. Included in this episode: a tag match that brings all the star ratings, another epic Tully performance against an equally impressive Sam Houston, TA crunch time against Nikita in match four of the best of seven, a six man cage match that most despised, but Calum gives perspective, another controversial take on a revered World Title change and close out with a Territory Spotlight match that shapes a WWF formula for years to come!

In this episode we talk all about the Kungsleden or "Kings Trail" in Sweden with Nikita or "Rowing Boy" as he's known on trail. Nikita is a thru-hiker and emerging film maker. He also won the THRU-r hikership (aka "hiker scholarship") in 2025 when he hiked the trail.In this episode, Nikita goes into:1. What it's like to hike the Kungsleden and the culture of the trail2. His best advice and tips for hiking long distances3. The specifics of film making while thru-hiking & more!Watch his films & follow along:⁠YouTube Channel: https://www.youtube.com/@morkani⁠1st Kungsleden Episode⁠2nd Kungsleden Episode⁠Instagram: https://www.instagram.com/morkani.trail/Did you love this episode? If so, please help fellow hikers find the show by following, rating, and reviewing the podcast on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!Connect With Us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join The Trail Family⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠THRU-r Threads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cheer's YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cheer's Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Episode Music: "Communicator" by Reed Mathis

When Patrick Clancy walked back into that house after 54 minutes, it was silent. Three small children were in the basement. Lindsay was outside on the ground. Part 2 of TFC's Lindsay Clancy coverage picks up the night of January 24th, 2023 — the minute-by-minute timeline, the phone evidence the prosecution is relying on, and Lindsay's own account of what she says happened once Patrick left. Tyrella and Nikita also break down the full toxicology, the competing expert arguments about what was active in Lindsay's system at the time the children died, and where the criminal and civil cases stand heading into the July 2026 trial. Part 1 covers who Lindsay was, the medication timeline, and the civil lawsuits — go back and start there if you haven't. Content warning: child death, strangulation, suicide and self-harm, severe mental illness. If you're in crisis, call or text 988.

She was a labor and delivery nurse at Mass General. She screened in the severe range for postpartum depression, told her care team again and again that something was deeply wrong, and checked herself into the top psychiatric hospital in the country. The day after her final psychiatrist appointment, all three of her children were gone. In Part 1, Tyrella and Nikita walk through who Lindsay Clancy was before January 24th, 2023 — the manic episodes after her second birth, the medication cascade that followed her third, and what the civil lawsuits filed by both Lindsay and her husband allege her providers missed across four months of escalating crisis. The question this episode sits with: if she was as sick as the lawsuits say, and the system kept sending her home, what does that mean when the criminal case reaches a jury? Part 2 is live now for Patreon members and drops Thursday for everyone else — the 54 minutes, the police affidavit, and the Commonwealth's case. Content warning: child death, suicide and self-harm, severe mental illness. If you're in crisis, call or text 988. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Bonus Episodes Support Our AMAZING Sponsors: Smalls: For 60% off your first order, plus free shipping and free treats for life, head to Smalls.com/QUEENS!  IQBAR: Text QUEENS to 64000 to get 20% off all IQBAR products, plus FREE shipping.  Message and data rates may apply.    © 2026This Feels Criminal. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠

Five weeks before he died, Christian Obumseli sent his girlfriend a text that read: "Is love going to kill me?" He was dead 33 days later, and she was not arrested for four months. This is Part 2 of the Christian Obumseli case. Christian was a 27-year-old Nigerian American from Dallas — a former college linebacker, an engineering grad, a guy his whole community called a light in the room. He fell hard for Courtney Clenney, an OnlyFans creator making close to two million dollars a year. What followed was two years of documented abuse, multiple police calls, a stabbing that killed him, and an investigation that nearly got closed as self-defense within 24 hours of his death. Tyrella and Nikita walk you through the medical evidence that pokes holes in Courtney's story, the role race played in how this case was handled, and the prosecutorial misconduct that has Christian's family still waiting for a trial date in 2026. Part 1 covers Christian's background and the full relationship timeline — start there if you haven't listened yet. Content warning: domestic violence, racial slurs, and description of a fatal stabbing. If you're in crisis, the 988 Suicide and Crisis Lifeline is available by call or text. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today!   Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Bonus Episodes © 2026 Killer Queens Podcast. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠

He texted her "Is love going to kill me?" and was dead 33 days later. What the medical examiner found next changes everything. Christian Obumseli was a 27-year-old Nigerian-American engineer and former college linebacker who met OnlyFans creator Courtney Clenney in Tulum in 2020. Over the next two years, their relationship became increasingly violent — documented in police body cam footage, elevator surveillance video, and Christian's own text messages describing being stabbed in the leg, cut on the face, and called racial slurs. On April 3, 2022, he died from a stab wound to the chest in their Miami penthouse. In Part 1, Tyrella and Nikita walk through who Christian was before Courtney, every documented incident of violence, and the night he died — including the Miami-Dade medical examiner's findings that directly contradict Courtney's defense. Part 2 (the arrest, the four-year delay, and prosecutorial misconduct) is available now for patrons, or drops Thursday for everyone. ⚠️ Content warning: domestic violence, racial slurs, graphic descriptions of injury and death. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: Tumble: Machine Washable Rugs, Made Better.  For a limited time only, our listeners get 10% off + free shipping at tumbleliving.com/QUEENS #Tumble #ad   © 2026 Killer Queens Podcast. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠  

Two weeks before the crash, Dom Russo was secretly recording her. Days before he died, he used a friend's phone to do it — which tells you everything about where things were. In Part 2, Tyrella and Nikita pick up where the evidence gets undeniable: the secret recordings Dom made of Mackenzie in the days before his death, the highway incident two weeks prior where a witness heard her say "I will crash this car right now," the arrest, and the trial that ended with a judge calling Mackenzie Shirilla "literal hell on wheels." They also cover what the Netflix documentary left out — the full picture of a relationship Dom was actively trying to leave, a plea offer the families rejected, a defense with no medical documentation to back it up, and a sentencing hearing that left Davion Flanagan's family stunned by the concurrent sentences. Dom Russo was 20. Davion Flanagan was 19. This is Part 2. Part 1 is live now. Hang with us: 

A Greek pilgrimage, a mystery guest, and a Discord revival ... The first Papal encyclical devoted to AI ... Pope Leo: just war theory is outdated, and AI lets humans dodge accountability ... Anthropic tells the Pope about "mysterious, even unsettling" things inside AI ... Inside the "Kill Zone": How drones changed the Russia-Ukraine front ... Who gets replaced first: the soldier or the commander? ... Russia's hypersonic missiles and nuclear signaling ... Do drones favor the underdog? Plus a warning on Taiwan ... The Iran ceasefire wobbles as Israel pushes back ... Heading to Overtime: Greek mystery cults, Teilhard de Chardin, and Blade Runner ... Enter the Mystery Guest: Jeremy Eliosoff, Pause AI Canada ...

Two weeks before the crash, a witness heard Mackenzie Shirilla say "I will crash this car right now." On July 31, 2022, she did — at over 100 mph, into a brick building, killing her boyfriend Dominic Russo and his friend Davion Flanagan. Netflix released a documentary called The Crash. It covered the case. It did not cover everything. In Part 1, Tyrella and Nikita walk through the victims' backgrounds, the four-year relationship between Mackenzie and Dom, and the evidence of coercive control, prior threats, and dangerous driving that the documentary largely glossed over.You'll hear about the secret recordings Dom made before his death, the highway incident two weeks before the crash, and what prosecutors called 'prior calculation.' It's a lot — in the best and worst way. Part 2 is already live on Patreon— get it NOW at www.patreon.com/killerqueenspod! It will be live on this feed in 2 days.  Content warning: murder, domestic violence, coercive control, drug use. If you or someone you know is in a dangerous relationship, the National DV Hotline is 1-800-799-7233. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: Goodr: Head to goodr.com/CRIMINAL to claim $10 off your first order.  Rocket Money: Let Rocket Money help you reach your financial goals.  Join at RocketMoney.com/TFC.  SelectQuote: Save more than 50% on term life insurance at selectquote.com/queens TODAY to get started.    © 2026 Killer Queens Podcast. All Rights Reserved Audio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠

0:00 – Intro & Tate's Vignette12:15 – Matt Bloom's Coaching24:30 – Nikita vs. Bailey39:45 – Tate vs. Chris Island54:10 – Chris Island's Screaming1:04:20 – Chantal vs. Zena1:16:30 – Indie Consulting Pitch1:22:45 – Plugs & Wrap-upBecome a supporter of this podcast: https://www.spreaker.com/podcast/wrestling-soup--1425249/support.

She posted it to TikTok before she called the police — and then 30 million people saw it. That decision may send her to trial on two Class E felonies. In Part 2 of the viral DoorDash case, Tyrella and Nikita break down the charges against driver Livvy Henderson: unlawful surveillance and dissemination of unlawful surveillance images. They walk through exactly why the prosecution's job may be easy, what the Ring camera footage could reveal, and why the DA skipped the fast-track plea route and went straight to a grand jury. But this episode goes deeper than the case. The hosts get into the documented failure of police to take sexual assault reports seriously, the false reporting statistics that actually show 95% of reports are legitimate, what it means to truly "believe women," and the very real dangers facing gig workers every day. Haven't heard Part 1? Start there — this episode picks up directly from the charges. ⚠️ Content Warning: Sexual assault, voyeurism, non-consensual filming, and image-based abuse.

She posted a video of a man — unconscious, partially nude, in his own home — and 30 million people believed every word she said. Within weeks, she was the one under arrest. Olivia Henderson is a 23-year-old DoorDash driver from Oswego, New York, who went viral in October 2025 claiming a customer had sexually assaulted her during a delivery. The video exploded on TikTok before anyone thought to ask questions. Then police pulled the Ring camera footage from the customer's home, and her story started to fall apart. In Part 1, Tyrella and Nikita walk you through the full timeline — the TikTok, the DoorDash ban, the police investigation, and the two felony charges she's now facing. You'll come away with the facts and a lot of questions, ready for Part 2. Part 2 is already out on Patreon! Or find it right here on the feed Thursday. ⚠️ Content warning: This episode discusses sexual assault allegations and false reporting.   Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: Rula: Rula patients typically pay $15 per session when using insurance.  Connect with quality therapists and mental health experts who specialize in you at https://www.rula.com/queens #rulapod Batch: Go to hellobatch.com/CRIMINAL and use code CRIMINAL to get 30% off sitewide – including on subscriptions.   IQBAR: Text QUEENS to 64000 to get 20% off all IQBAR products, plus FREE shipping.  Message and data rates may apply. © 2026 Killer Queens Podcast. All Rights ReservedAudio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Alison plays new music from Subtronics, Ivy Lab, DJ_Dave, AVELLO, Lee Mvtthews, Levity and many more!Don't forget to rate & review on all of your favorite podcast apps! Post your comments on twitter @awonderland #RADIOWONDERLANDTracklist:RADIO WONDERLAND OPENER 00:00 Slayyyter - DANCE…. 00:44 Prospa & Murda Beatz - Baby 04:57 Angèle & Justice - What You Want (Fcukers Remix) 09:10 Ivy Lab - Gossip 12:00 bbnogames - it boy (Zoey808 Remix) 14:21 Levity - Neon Soul 17:29 Arya - SPEAK 20:27 Mary Droppinz & The Pussycat Dolls ft. Timbaland - Wait A Minute 23:05 Ivy Lab - Point Five 25:50 Swick & Nina Las Vegas ft. Zanillya - Shot Caller 27:46 Nikita, the Wicked - DO AS I SAY 30:31 No Signal, FrostTop & RemK - need (u) 33:15 Namasenda - Madonna 35:33 DJ_Dave - Fail-safe 37:45 AVELLO & ROSSY - RAGE 40:51 ero808 & Coka Cobra - DON'T LOOK DOWN 42:46 St. Mary - Higher Place (Shöckface Remix) 45:23 HerShe - SWANGIN' 47:37 Underworld & KI/KI - Arp12 50:03 Particle & Catching Cairo - 18% 53:46 Lee Mvtthews & Bennie - Bass Face 56:42 Oliver Tree - F*k The Whole World (Subtronics Remix) 59:10

A Substack post became a federal probe in eight weeks. That's faster than most podcast episodes get edited. So what actually happened — and what does it mean that it can happen again? In Part 2, Tyrella and Nikita move from the individual cases and start interrogating the system. They break down apophenia — your brain's tendency to find patterns even where none exist — and trace exactly how one influencer newsletter traveled from fringe post to White House press briefing to multi-agency FBI investigation. They also cover the cases that genuinely do deserve more scrutiny, including Amy Eskridge's deeply unsettling prediction about her own death. The verdict: overwhelmingly apophenia. But the mechanism that got us here? That's the real story. ⚠️ This episode discusses suicide and harassment of grieving families. If you're struggling, call or text 988. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A Substack post became a federal probe in eight weeks. That's faster than most podcast episodes get edited. So what actually happened — and what does it mean that it can happen again? In Part 2, Tyrella and Nikita move from the individual cases and start interrogating the system. They break down apophenia — your brain's tendency to find patterns even where none exist — and trace exactly how one influencer newsletter traveled from fringe post to White House press briefing to multi-agency FBI investigation. They also cover the cases that genuinely do deserve more scrutiny, including Amy Eskridge's deeply unsettling prediction about her own death. The verdict: overwhelmingly apophenia. But the mechanism that got us here? That's the real story. ⚠️ This episode discusses suicide and harassment of grieving families. If you're struggling, call or text 988. Learn more about your ad choices. Visit podcastchoices.com/adchoices

A plasma physicist texted a former spy: "If you ever see a report that I killed myself — I most definitely did not." Then that's exactly what the report said. In under eight weeks, one Substack post turned into a White House briefing, an FBI probe, and a House Oversight Committee inquiry. The story: 11 deaths and disappearances of US government-connected scientists. But is it a pattern — or a story about how the internet decides what gets investigated? Tyrella and Nikita go case by case through every name on the list, separating what's verified from what's speculation, and noting which families have asked to stay out of the conspiracy framing entirely. Part 2 out now for Patrons. ⚠️ This episode discusses suicide, gun violence, and unresolved disappearances. If you're struggling, call or text 988. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: SKIMS: Shop Everyday Cotton, and all of my favorite bras and underwear at https://www.skims.com #skimspartner Veracity: Head to VeracityHealth.co and use code TFC for up to 65% off your order. TUSHY: Over 2.5 Million Butts Love TUSHY.  Get 10% off TUSHY with the code KILLER at https://hellotushy.com/KILLER Smalls: Get 60% off your first order, plus free shipping AND free treats for life when you head to Smalls.com/QUEENS! © 2026 Killer Queens Podcast. All Rights ReservedAudio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

A plasma physicist texted a former spy: "If you ever see a report that I killed myself — I most definitely did not." Then that's exactly what the report said. In under eight weeks, one Substack post turned into a White House briefing, an FBI probe, and a House Oversight Committee inquiry. The story: 11 deaths and disappearances of US government-connected scientists. But is it a pattern — or a story about how the internet decides what gets investigated? Tyrella and Nikita go case by case through every name on the list, separating what's verified from what's speculation, and noting which families have asked to stay out of the conspiracy framing entirely. Part 2 out now for Patrons. ⚠️ This episode discusses suicide, gun violence, and unresolved disappearances. If you're struggling, call or text 988. Want access to our first 45 episodes? Grab em here! We've made them available for free to anyone who signs up! Remember, these episodes were recorded when we had no idea what we were doing, so just keep that in mind. The audio isn't the quality we would want to put out now, but the cases are on point! Visit killerqueens.link/og to download and binge all the archived episodes today! Hang with us: Follow Us on Instagram Like Us on Facebook Join our Case Discussion Group on Facebook Get Killer Queens Merch Bonus Episodes Support Our AMAZING Sponsors: SKIMS: Shop Everyday Cotton, and all of my favorite bras and underwear at https://www.skims.com #skimspartner Veracity: Head to VeracityHealth.co and use code TFC for up to 65% off your order. TUSHY: Over 2.5 Million Butts Love TUSHY.  Get 10% off TUSHY with the code KILLER at https://hellotushy.com/KILLER Smalls: Get 60% off your first order, plus free shipping AND free treats for life when you head to Smalls.com/QUEENS! © 2026 Killer Queens Podcast. All Rights ReservedAudio Production by Wayfare Recording Music provided by Steven Tobi Logo designed by ⁠Ingrid at Penguin Designing⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

In Part 2 of our d4vd and Celeste Rivas Hernandez update, Tyrella and Nikita cover what prosecutors dropped at the April 23rd status hearing — exactly one year to the day Celeste was last seen alive. Prosecutors told the judge that Burke's iPhone and iCloud contain a significant amount of child sexual abuse material, and they've only reviewed one terabyte out of eight. They also break down the full 40-terabyte evidence scale, the court-authorized wiretap, why charges took so long to file, what came out in the April 29th court filing including the Amazon purchases and the inflatable pool, and Celeste's family's first public statement. The preliminary hearing is set for May 26th — and this case is just getting started. Content warning: detailed discussion of murder, dismemberment, CSAM, and child sexual abuse allegations. Start with Part 1 if you haven't already. Learn more about your ad choices. Visit podcastchoices.com/adchoices