Podcasts about Nikita

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

durée : 00:10:15 - par : Emilie Munera, Rodolphe Bruneau-Boulmier - Nikita Mndoyants possède un jeu d'une très grande précision et magnifiquement équilibré. C'est un pianiste hors pair, en témoigne son grand prix obtenu au concours international de piano de Cleveland. Ce disque a été enregistré lors d'un concert donné Salle Cortot à Paris en décembre 2025. - réalisation : Pauline Boisaubert Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

durée : 00:10:15 - par : Emilie Munera, Rodolphe Bruneau-Boulmier - Nikita Mndoyants possède un jeu d'une très grande précision et magnifiquement équilibré. C'est un pianiste hors pair, en témoigne son grand prix obtenu au concours international de piano de Cleveland. Ce disque a été enregistré lors d'un concert donné Salle Cortot à Paris en décembre 2025. - réalisation : Pauline Boisaubert Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

In this talk, Nikita, Senior Applied Data Scientist at the AWS Generative AI Innovation Center, shares his expertise in bringing enterprise artificial intelligence out of the sandbox—from his early days optimizing traditional machine learning models like gradient boosting to deploying advanced production-grade GenAI pipelines. We explore what it really takes to move generative AI systems from pilot prototypes to production environments.Links:- AWS Generative AI Innovation Center: https://aws.amazon.com/ai/generative-ai/innovation-center/You'll learn about:- Deploying multi-layered defenses independent of backend LLMs.- Evaluating parameter-efficient methods like LoRA and QLoRA for small models.- Balancing long-term domain expertise with real-time documentation retrieval.- Utilizing multi-agent orchestration for search and anomaly explanation.- Setting up robust LLM-as-a-judge frameworks verified by human metrics.- Leveraging Amazon Bedrock components for memory and runtime scalability.TIMECODES:05:52 Shifting from traditional ML to generative AI07:49 Hybrid pipelines blending classical ML and LLMs11:25 Production guardrails and multi-layered system defense16:15 Prompt bypasses, input attacks, and AI red teaming20:49 Newsletter localization and translation with Zalando27:24 Evaluation frameworks and human-in-the-loop metrics33:07 Aligning LLM-as-a-judge with few-shot prompts34:49 Fine-tuning small language models versus prompting41:18 Complementary mechanics of RAG and fine-tuning43:00 Agentic web search tools for anomaly explanation47:01 Automated text generation from real-time sports sensors49:58 AWS project scoping and proof of concept timelines54:58 Interview requirements and career skills for AWS roles57:59 Enterprise architecture patterns and system observability01:00:42 Reusable infrastructure blocks on Amazon BedrockThis session is designed for machine learning engineers, data scientists, and technical product managers looking to architect reliable, production-ready GenAI workflows. It is highly valuable for teams aiming to bridge the gap between experimental AI prototypes and secure enterprise software.Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/ Connect with Nikita- Linkedin - https://www.linkedin.com/in/kozodoi/- Github - https://github.com/kozodoi- Website and blog - https://www.kozodoi.me/

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

Après le triomphe de son film « Nikita », le réalisateur français se lance dans un tournage de son film « Léon ». Un film policier, y compris pendant son tournage où a eu lieu une vraie arrestation ! Dans "Ah Ouais ?", Florian Gazan répond en une minute chrono à toutes les questions essentielles, existentielles, parfois complètement absurdes, qui vous traversent la tête. Un podcast RTL Originals.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

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  

In this episode we featured the Global Superstar Nikita Kering as she tells us what has been happening behind the scenes including where she has been. Enjoy!

About Us:

Regional Voice 29 May Campaspe Nikita Saunders from Kyabram District Health Service by 98.5 ONE FM

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 ...

In this week's episode, we celebrate National Reconciliation Week with a conversation led by SPA's First Nations Lead, proud Wonnarua woman Nikita Austin. Joining Nikita are Bronte Ramm, a proud Murri woman, speech pathologist and counsellor, and Olivia Coe Fox, a proud Wiradjuri woman, aspiring teacher, and the first person to sing in an Aboriginal language on The Voice Australia. Olivia, Bronte and Nikita discuss the importance of engaging with Community, and that individual actions can have meaningful impacts in preserving First Nations Languages. 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.

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

In this episode, Abhay sits down with dance artist Nikita Banawalikar — a Kathak exponent, choreographer, and scholar who seamlessly bridges the gap between ancient tradition and modern storytelling.Nikita shares why she views Kathak not just as a dance, but as her true "home". She discusses the rigorous journey of becoming a scholar of the arts and offers a fascinating look behind the scenes of choreographing for major films like Rocky Aur Rani Kii Prem Kahaani. From finding inspiration in the mundance to the challenge of "unlearning" technical precision for the camera, this conversation explores how to maintain artistic purity while embracing evolution.In this episode, Nikita shares insights on:• How to find inspiration for art in everyday life, architecture, and nature.• The reality of film choreography and making actors shine on screen.• The impact of digitalization on classical arts and the debate between social media reach vs. live experience.• Why "embracing innocence" is the key to staying authentic as an artist.-------------------------Connect with Nikita :https://www.instagram.com/nikkitakathak/#Kathak #NikitaBanawalikar #BollywoodChoreography #IndianClassicalDance #TrustMeIKnowWhatImDoing #DanceEducation #RockyAurRani #ArtisticJourneyCHAPTERS:00:00 – Introduction and Welcome03:13 – Living the Dream: When a Hobby Becomes a Profession05:07 – Finding Inspiration in Nature, People, and even Mumbai Traffic08:17 – The Integrated Life: Does an Artist Ever "Shut Off"?10:08 – The Process of Falling in Love with Kathak13:16 – Building Confidence16:11 – Learning and Growth with Kathak19:21 – Sponsor Break: Travelopod 20:26 – Digitalization: Teaching and Performing Post-COVID22:57 – Live Performance vs. Social Media: The Purist Debate26:46 – Film Choreography: Working on Rocky Aur Rani Kii Prem Kahaani29:53 – Unlearning for the Commercial Screen34:26 – The Future of Kathak: Evolution, Purity, and New Narratives40:09 – Discipline and Observation: How Dance Shapes the Person43:27 – Embracing Innocence and SensitivityShout out to my cousins Vaishali Potdar from Nupur Kathak Academy and Vedashri Mahajan in Australia and anyone else out there who is learning, teaching, and promoting this dance art!--------------------------Trust Me I Know What I'm Doing | Dr. Abhay DandekarA mirror and window for global Indians and South Asians through conversation.Every week, we share chats with artists, leaders, musicians, chefs, experts, change makers, and innovators from the home and diaspora - sharing their journeys and motivations.Support our sponsors: Start your journey with personalized travel support at https://vacation.travelopod.com/For enquiries

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.

ALL Newer Soca and PowerSoca in this show with : G.E.O., Prezzi, Saddis, Shanny D, Stamina Smurf, Elle, Banco, Trevon Vibez, Mole De Chief, Nikita, Red The Artist, Motto, Dj Fire, Strypzz, French Man, Shakira and Burna Boy, Dj Spider, Lyrikal, Hypersounds, Marzville, Scrilla, Cassi, Coopa Dan, Dj Savage, Grateful Co, Keerah, Rishaun G, Nikmam, Shyy Boogz, D Truckman, Kilogram, Ozarie, Party Dawg, XI0, Chrissy D, Rehab, Denishaa, AJ, Sheba Royal, Stabby, Fari, King Switch, Skinny Fabulous, Wetty Beatz, Kandi Sharwa, Madskull, Lavaman.

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.

Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets!On the product side, everyone is getting Computer - Perplexity, Manus, Cursor, and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer (Harbor). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it.“The end of localhost” has been Ivan Burazin's obsession for more than a decade.Something that is all too familiar…Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine. CodeAnywhere, one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax.The thesis was directionally right, but the market wasn't ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn't just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan's original localhost thesis.In this episode, Daytona's CEO joins swyx to explain why AI agents need more than code execution boxes: they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can survive workloads going from zero to 100,000 CPUs.We go deep on the new agent compute market: Daytona's hard pivot from human dev environments to AI sandboxes, the New Year's Eve MVP that customers begged for, why Daytona runs on bare metal with its own scheduler, how one customer runs almost 850,000 sandboxes a day, and why RL/eval workloads went from 0% to roughly 50% of usage in just months. Ivan also explains why agents need Windows and macOS machines, why CLI may matter more than MCP, why Kubernetes is painful for this workload, and why the future AI cloud may look more like Stripe than AWS.We discuss:* How Daytona grew out of CodeAnywhere, Shift, and the “end of localhost” thesis* Why Daytona pivoted from human dev environments to AI sandboxes* Why agents need composable computers instead of disposable code execution boxes* The New Year's Eve MVP that customers chased API keys for* Why Daytona chose bare metal, stateful snapshots, and its own scheduler* How Daytona spins up one sandbox in ~60ms and 50,000 sandboxes in ~75 seconds* Why Daytona's biggest customer runs ~850,000 sandboxes a day* How RL/eval workloads create zero-to-100,000 CPU spikes* Why RL workloads went from 0% to roughly 50% of Daytona usage* Why customers compare Daytona against EKS/GKS and say they're “never going back”* Why every AI agent may need a computer, including Windows and macOS environments* The Apple licensing constraints that make macOS sandboxes hard* Why CLI gives agents more power than MCP* How open source helps agents integrate Daytona* Why agent-generated PRs may break today's CI/CD assumptions* Why AI SaaS companies reselling tokens may face a cold shower* Why the AI cloud may look more like Stripe than AWSIvan Burazin* LinkedIn: https://www.linkedin.com/in/ivanburazin* X: https://x.com/ivanburazinDaytona* Website: https://www.daytona.io* X: https://x.com/daytonaioTimestamps* 00:00:00 Hook* 00:01:12 Introduction* 00:03:15 CodeAnywhere, Shift, and the end of localhost* 00:05:58 What Daytona is: composable computers for AI agents* 00:08:07 The pivot from dev environments to AI sandboxes* 00:10:17 The New Year's Eve MVP and customers begging for API keys* 00:12:56 Bare metal, stateful sandboxes, and Daytona's scheduler* 00:17:28 60ms startup, 50,000 sandboxes, and 850K daily runs* 00:21:53 Spiky RL/eval workloads and the new agent infra problem* 00:28:12 RL workloads, Kubernetes pain, and dynamic resizing* 00:33:31 Why every AI agent needs a computer* 00:38:48 macOS sandboxes and Apple's licensing problem* 00:44:28 Why CLI may matter more than MCP* 00:48:11 Open source, GitHub stars, and agent integration* 00:53:11 Git, CI/CD, and agent collaboration bottlenecks* 00:58:15 Founder life and building a 25-person infra company* 01:02:44 AI SaaS, token resale, and API-first business models* 01:06:10 GPU sandboxes, data centers, and compute growth* 01:09:48 Why the AI cloud may look more like Stripe than AWS* 01:11:26 Closing thoughtsTranscriptIntroduction: Daytona, CodeAnywhere, and the End of LocalhostSwyx [00:00:02]: Okay, we're in the studio with Ivan Burazin, CEO of Daytona. Welcome.Ivan [00:00:07]: Thanks for having me, man.Swyx [00:00:08]: Ivan, you and I go back.Ivan [00:00:10]: Way back.Swyx [00:00:11]: How I don't even know how, you found, did you reach out or, for Shift.Ivan [00:00:17]: I reached out to you. The reason was you - we were just - we were thinking about I was one of the co-founders of CodeAnywhere, the first browser-based IDE, and so we were thinking a long time of, localhost should die. And you had this article.Swyx [00:00:29]: End of localhost.Ivan [00:00:30]: Then I reached out to you because of that, and then we talked, and I was actually at a different job and learning about I was the head of, developer experience, and you were quite well-versed in that, and I actually reached out to you, among other people, how do we go about that? What are the key things and whatnot at this point in time? And you were nice enough to take the call, and I remember I was late on your call with you.Swyx [00:00:51]: I don't remember.Ivan [00:00:52]: I remember because I was with my then I'm thinking of a girlfriend or wife at that point in time, I'm not sure. It's the same person, so that's great, and I was late ‘cause we were, in, Italy on, vacation, and then I was late for something. I felt so bad, and you were so nice to be, good about.Swyx [00:01:10]: The reason I'm nice is because I'm also late to other people, so it's like, who's, who's without sin here, yeah, so I have to, for those who don't know, InfoBip Shift, there's this whole thing that, you did in the past, and, and that was basically one of the inspirations for me starting AI Engineer, which is like, I have to thank you for giving me that push to be like, “Oh, you can, you can build and sell conferences?”Ivan [00:01:34]: I remember you asked you asked me at the beginning to give me advisory shares, and I was so focused on what we were doing, I said no, and I should've took the advisory shares. So I'm sorry, dude. But anyway.Swyx [00:01:43]: We're not, we're not venture backed.Ivan [00:01:44]: No, it doesn't matter.Swyx [00:01:45]: It's Yeah, anyway, so I think what's impressive about you is that CodeAnywhere is the thing that you've been trying to build, and, you kind of put it on hold and then came back after InfoBip. Just give us the story, do you - the story and the origin story, going into Daytona.From CodeAnywhere and Shift to DaytonaIvan [00:02:05]: Sure. Like, really way back, me and my co-founder have been together. I say this, I've said this multiple times, it's like we were married and divorced and married. Some people actually ask me is my co-founder my partner. they thought it literally. It's not literally, but we have done multiple companies together, and to your point, we had this shift where we went from the CodeAnywhere to the conference called Shift, and then back to, Daytona. We originally started stacking servers, doing like virtualization in the early 2000s and, routers and doing basically all these things, at a foundational level, and that was a services company which we sold to focus on what my co-founder actually invented, which was the very first browser-based IDE, right, I say the first. Before us was actually Heroku. They did it for a very short time until they became Heroku. But outside of them, we were the only one, and it was called.Swyx [00:02:55]: There was Cloud9.Ivan [00:02:57]: Cloud9 came out slightly after us. There was Replit, which came out when we stopped doing it, Replit came out, and they have been successful since then, which is great. There was Nitrous.io. There was quite a few that existed at the time, but it was like too early. But the interesting part is that we, at that point in time, because there was no VS Code, there was no Kubernetes, and Docker had just started when we Or I'm not sure if it was even public at that point in time. And so we had to build everything to the whole stack ourselves and that was the key learning that we brought into and that we've been using in Daytona today. So it was super early. There's about 3 million people used CodeAnywhere. It was slightly, it was angel-backed more than venture-backed. We ended up paying everyone back because it didn't have that sort of scale. But, three years ago, we started something similar with Daytona, which is not what we are today, but it was automating dev environments for human engineers, the basically the underlying stack of CodeAnywhere. And then we did a hard pivot last January to sandboxes. And so here we are.Swyx [00:04:01]: Historic pivot, yeah, and, it's one of those things where, I had independently invested in CodeAnywhere, but also in E2B, and then both of you pivoted into the same thing, and I'm like, “F**k.”Ivan [00:04:12]: You invested, you invested in Daytona. You invested in Daytona. But you were the first If we had not got your check, we wouldn't have done it.Swyx [00:04:18]: No way.Ivan [00:04:19]: No, it was like, “We have to get him on board first,” and you were that kicker that we, that got us off the ground.Swyx [00:04:23]: No, because you were putting me on your pitch deck, man. I was like, “Man, this is like a good trip if I don't invest.”Ivan [00:04:29]: That's because it was your quote. It's like we.Swyx [00:04:30]: Yeah. It's the end of localhost.Ivan [00:04:31]: Did a bunch of research about end of localhost and who was interested in that,.Swyx [00:04:34]: No, that's like, I put, I wrote that blog post, and every single company in that field reached out to me, and then every VC who was receiving those pitches then also had to call me and, talk it, talk through it with me.Ivan [00:04:47]: It's finally happening though.Swyx [00:04:48]: It was really super interesting.Ivan [00:04:48]: It's finally happening.Swyx [00:04:49]: It's finally happening.Ivan [00:04:49]: Yeah, it's finally.Swyx [00:04:49]: It's finally happening, with maybe sort of non-human users. Yeah, so what is Daytona today? Let's get like a quick description. I'm wearing the shirt.What Daytona Is Today: Composable Computers for AI AgentsIvan [00:04:58]: You're wearing the shirt. Yes,.Swyx [00:04:59]: It says, I think your branding is very good. Like, it's very consistent. It runs AI code. Like, it cannot be simpler.Ivan [00:05:05]: Exactly, but we're gonna probably have to change that.Swyx [00:05:07]: Oh, s**t.Ivan [00:05:07]: It's also a subset of what we do. Unfortunately, we really love this, Run AI Code is super simple. People interpret it different ways. I think we've given out 5,000, 6,000 of these shirts. People wear them with pride because it doesn't really market about us.Swyx [00:05:21]: Yeah, Daytona's on the back.Ivan [00:05:22]: It markets the back. It markets to the person itself, so I think we did a really good job on that one. But it is also a subset of what we do, because people, when they think about Run AI Code, they just think about these small, let's call it isolates, code execution boxes that, you send some code, you get an output. Whereas what Daytona is today is essentially composable computers for AI agents. It is, the market calls them sandboxes which can be misleading.Swyx [00:05:44]: All these things. All these things on.Ivan [00:05:45]: Yeah, exactly, ‘cause it can be misleading ‘cause people usually think about sandboxes as a demo or a test environment versus a production-grade environment. But what Daytona does, if you think of the laptop that you have in front of you or the computer that's over there, or, my wife is an architect, so she has like a Windows with a 3D graphics card inside to do 3D rendering. Like, as humans, we have different computers or different compositions of computers. And our belief is strongly that agents today and going forward will need all these different compositions of computers to do different types of tasks. And so we offer that basically through an API.Swyx [00:06:19]: Yeah, to give people - I'm trying to sort of front-load all the aha moments or the wow moments so that people can, stay engaged and click like and subscribe. the market is exploding, right? Like, you have been reporting 74% month-on-month growth, and it also, it's just been growing for a while. Like, it's been going like this. And every single - It's not just you guys. It's every single.Ivan [00:06:41]: Everyone, yeah.Swyx [00:06:42]: Sort of, compute provider. I don't know if you agree with me saying compute provider or not.Ivan [00:06:48]: It's fine.Swyx [00:06:48]: Yeah. So like organically PLG-driven growth, but also enterprise is doing super well, I think I wanna rewind to January of last year when you did the pivot. Like, so you obviously called this market early, and you were positioned for it, and you are now one of the market leaders. But what was the insight that made you do the pivot?The Pivot: From Human Dev Environments to Agent SandboxesIvan [00:07:06]: The insight that made us do this pivot is the quarter before that, so end of 2024, when we had - Basically, we did a demo with - I don't I think we discussed this as well, Devin was not public. You actually gave me access to Devin at that time. So Devin.Swyx [00:07:25]: I did?Ivan [00:07:26]: Yeah, you gave me access.Swyx [00:07:26]: I don't think I was supposed.Ivan [00:07:27]: Yeah, exactly.Swyx [00:07:28]: Yeah, I.Ivan [00:07:28]: So it doesn't matter. You.Swyx [00:07:29]: Yeah. I gave like three friends access.Ivan [00:07:31]: Yeah, or it was a call and you showed it to me. It doesn't matter. but OpenDevin was available, which is now called OpenHands. And so we're like, “Oh, this seems to be a thing. This is not public. Let's take our for human automation of dev environments and take, OpenDevin and launch that as a SaaS.” And we did that. Not very many people signed up and used it, but a lot of people reached out that were building agents, and they were like, “Hey, my agent needs a compute sandbox runtime,” whatever you wanna call it. I forgot what it was called at that point. And then we were like, “Oh, amazing. This is a new market. Here is our infrastructure. Here's our product, and go.” And what we found really fast, soon, was that people did not like what we had built. It didn't work. And I remember talking to people at the beginning when we're doing this, the sandbox we're building for agents. People were like, “Oh, why is it different? It's the same thing. We have like EC2, we have VMs, we have all these things.” But we saw that everyone we gave it to, it was like 20, 30 people, they all said, “No.” Like, “This is not what we need. This sort of breaks.” And basically, me and my co-founder not knowing a lot about - ‘cause we're infra people. We're not AI people. So I basically took it upon myself to like watch every single podcast that exists, including all of, all of these and all that, and sort of get up to date, read all the blogs, like get, understand what's going on.Swyx [00:08:45]: Do you wanna shout out who else was useful, just in case people are also looking.Ivan [00:08:49]: Generally we -, I looked at There's a few of podcast, different segments and different types. So there's you guys, No Priors, Bill Gurley's was great while.Swyx [00:09:04]: VG2, yeah.Ivan [00:09:05]: Yeah, while it was around. So there's a few. 20VC is interesting from a different dynamic, and some are different dynamic. But there was, also Red Points.Swyx [00:09:14]: We're not really about the compute market.Ivan [00:09:15]: It was also already - Sorry?Swyx [00:09:16]: You're, you want - You're looking at the agent infra market.Ivan [00:09:19]: I was looking at the agent market and the AI market in general and sort of understanding who are the players, what the perception, and how that goes. And like obviously you complement this with like going to conferences, going to events, going to meetups, reading white papers, like doing all the things that you have to do to understand what's happening. And so when we figured, when we sort of had an idea of what we had to build, literally over the New Year's Eve, literally on New Year's Eve, I half vibe coded the first MVP, first minimal viable product of what Daytona is today. And I went to sleep at like 3:00 AM or something like that. I was doing - I just put my like baby daughter and wife to sleep and, Happy New Year's, and go back to just, doing this. And I sent it to my co-founder, my CTO, and he saw it in the morning. He's like, “This is absolute garbage.” “Do not show this to anybody at all, but the idea is good.” And so he took two weeks, and he rebuilt it.Swyx [00:10:09]: Did it like look like that? Listen, I - It was rough idea.Ivan [00:10:12]: Oh, not even, not even close. Like it was it was way worse. But it was like a very - It was a simplistic view of what it should be. Like, it worked, but it was not ideal. And so he went, we went down the whole, which is his job as CTO, to go, and he came back with this version. We then called all the people that had said like, “This is garbage,” a quarter ago. And we set up these calls, and we gave it to - We just demoed it to everyone. And all the calls went long, every single one. They were 15-minute calls, and they all went to like 25, 30 minutes or whatnot. And everyone said, “We need, we want access.” There was no login, just an API key, ‘cause it was just a beta or an alpha. And they said, “Oh, we want access.” And we're like, “Sure, yeah. Okay, thank you very much.” But after like the next day, if we'd not send it, every single one, like every call that we did, everyone came back, “Where is my API key?” Like everyone wanted it. We're like, “S**t.” Like this is it. Like I've never felt So one, the understanding to your point was like most people thought it was the same infrastructure for humans and agents. We understood a quarter ago it's not. We just didn't know what was the right primitive. And then when we came, and we can talk about what that is, and we gave it to these people, I've never seen, I've never experienced - I've done multiple companies in my life. I've never experienced this, that people literally call you if you do not give them access. Like they want access right now. And so it's like, okay, they don't want this. the thing that they want doesn't seem to exist, or they have not found it, and they really want what we want. And then when we understood that we're onto something, and then when you think about the size of the market, like the market for human engineers and enterprise is a very large market, so think GitLab or whatnot. But the market for every single agent that will exist ever in the future is just like, what is that market? How big is that? And we're like, “We are all in on this.” And so that is where we made sort of the cut between the old product and the new one.Bare Metal, Stateful Sandboxes, and the Lambda + EC2 ModelSwyx [00:12:02]: Yeah. But it wasn't composable at the time?Ivan [00:12:05]: It was very - It was basically just a Linux box that you could change, that you could define number of CPUs, disk, and RAM. Like that is what you could do, but you couldn't have multiple operating systems, you couldn't resize it on the fly, you couldn't add a GPU, you couldn't do like all the things. It was just the, just the first sort of variation of that, yeah.Swyx [00:12:22]: Was it bare metal from the start?Ivan [00:12:24]: It was bare metal from the start. And so the interesting thing that we thought about right away, so our.Swyx [00:12:29]: Which, give people the background, what is the normal path?Ivan [00:12:32]: Yeah, so, basically most providers run this on top of VMs. And also.Swyx [00:12:37]: Firecracker.Ivan [00:12:38]: Yeah, they run on Firecracker and VM. And so we also fire - We can get - We have multiple isolation layers and we can do that. But the common way to do it is that they, one, that the state of the machine, or the hard disk is not part of the sandbox itself. And the other thing is they're not meant to last forever. So most of them are preemptible, like they can There's a time that they can live. And so our thought was when we were going into this is, agents will be like humans in the sense of you don't want your laptop to be shut down until you're done with work. Like, and you want to close the lid and open the lid, it's the same state. So you - Agents would want that, like the pause and come back. They want those two things. But also agents really want speed, right? Can they get it? So when we thought about it's like we need something insanely fast, how to make it fast, how to make it long-running, and stateful. And so those two things, it's like combining a Lambda and an EC2, right? Those two things together. And so we didn't have an idea how others did it, ‘cause we didn't know too that there was a market around this. It was more like, okay, this is what we need, what they need. And we looked at Kubernetes, it wasn't wasn't good enough for that. We looked at Nomad, it didn't enable that. And so our history in rewriting our own scheduler at CodeAnywhere is basically what my CTO came up with. Like, he's like, “Oh, the learnings from there,” and he brought it. And the funny thing is, our third co-founder, when he saw it, he's like, “Dude, what is this? This is like 2008.” Like, we went back in time, and he's like, “Exactly.” And so the reason why Daytona is like super fast, and you see this on benchmarks, is we essentially, we run on bare metal. We have our own scheduler, we use the underlying, disk, CPU, and RAM of the underlying machine, which means your IOPS are insanely fast because there's no, there's no network between an EBS or something like that. But also the snapshot, the point in time, the templates, are also preloaded on the bare metal machines. So when you fire off a sandbox from a template or a snapshot, you're essentially directed to the bare metal machine where that snapshot is based on that NVMe drive, and then it literally just turns on that machine, and it's local. There's no network latency, anything on there. And so that is sort of the specificities that we, when we're thinking from first principles, what a computer would look like for an agent, that is what we came up with, and that's what we created.Benchmarks, 60ms Startup, and 50,000 SandboxesSwyx [00:15:02]: Yeah. I should maybe, I don't know if you endorse this, but there's someone that does compute SDK, you guys do very well on there, with like the TTI, right? I. is this a, is this a is this a relevant benchmark for you guys? I don't know.Ivan [00:15:16]: I don't know, and it changes every day. So today RKL is.Swyx [00:15:18]: I don't know what RKL is. Never heard of it.Ivan [00:15:20]: Yeah. RK, yeah, so it is there.Swyx [00:15:22]: You are, at least a third of the next tier of performance, and then, there's a lot of other better-known names that are very slow to start.Ivan [00:15:31]: Yeah. We've been the number one by far for a long time, and now there's different, there's different definitions also of sandboxes, different isolation patterns, different other things. So RKL runs it literally on the S3, the data, so it's very different, and they spin up a sandbox, spin up a container for that, so it's a different type of thing. So the definition of a sandbox is something that we can all, we all need to get along with. But yeah, we're insanely fast on getting these things, up and running. And so you can see even there that it's a zero point 0.10 to 0.11, so.Swyx [00:16:03]: Close enough. Yeah. what else do you need, right?Ivan [00:16:05]: Yeah. So the benchmarks itself, so, in this, in I don't think the benchmarks equate to market ownership or revenue or anything like that. and I've seen this with multiple benchmarks, not just in sandboxes, but in general benchmarks around.Swyx [00:16:20]: It's table stakes. It's just like.Ivan [00:16:21]: Exactly. But it doesn't hurt.Swyx [00:16:22]: Just roughly check.Ivan [00:16:22]: Like you definitely have to be up there and you have to be competing so that people know that, oh, this is definitely one of the top. Because this is only one dimension of what customers look for. There's other things like how many can you spin up consecutively? There's a feature set, there's support, there's like all different things that people look at, but you definitely have to be there, on the benchmarks.Swyx [00:16:40]: How many people do people spin up consecutively?Ivan [00:16:43]: So we have.Swyx [00:16:43]: Or concurrently, is the Concurrency, right?Ivan [00:16:45]: There's three metrics that we look at. And so one is like time to spin up one, and so our time to spin up one is 60 milliseconds with network latency. So request, spin up, reply, 60, the whole thing, 60 milliseconds. That is one. But if you wanna spin up 50,000 at once, we are now at about 75 seconds. So it takes about 75 seconds to spin up concurrently 50,000. Some others, there's public data around this, like take 2,000 seconds, which is 30 minutes. Like there's different variations of that. And then there is the so it is speed of one, speed of like multiple, and then how many can you consistently have up and running. And so we basically have right now no limit to how much we can add because we basically own our own metal. But the biggest customer of ours does like about 850,000 every single day is sort of where they're, where they're just shy of a million every single day that they're running, we do have a request for half a million concurrent, which is literally half a million CPUs somewhere running. So that's an interesting.Swyx [00:17:44]: They pay by like vCPU seconds.Ivan [00:17:47]: By seconds, yeah.Swyx [00:17:47]: Or whatever. Yeah. Okay, and so and then, and the other thing is, the sleeping and the resuming, ‘cause it's all the stateful resumption of all these things, how, what kind of workload are people putting through this, right? Like how is it Do we measure by gigabytes in memory, gigabytes in storage? I don't In like network attached storage. I, what are the costly ones of, out of all these features?Workload Economics: CPU, RAM, Network, and StorageIvan [00:18:15]: The most expensive thing are CPU.Swyx [00:18:18]: Okay. Yeah, of course.Ivan [00:18:18]: The second one, yeah Then it's RAM, then it's disk. We actually don't charge.Swyx [00:18:22]: Which is snapshotting, right?Ivan [00:18:23]: No, it's actually the, snapshotting's part of it, but basically the size of your hard disk, of your machine. So do you have 10 gigabytes, do you have 20, do you have 50, do you have whatever? And then the transference of that. Right now, currently we don't charge for, network at all at Polychron.Swyx [00:18:37]: Oh, you gotta, yeah, you gotta fix.Ivan [00:18:38]: Yeah. It is very much a it's a larger and larger part of our bill, so we're working around, that part there. Obviously, that is the least, expensive, so the hard disk is the least expensive, so it's basically CPU, RAM, for us network, ‘cause we don't charge the customer, and then hard disk, is how it's split up. But there's also different types of workloads, so we basically split it up into two types of workloads in Daytona. One is what we call background agents or long-running agents. and the other is, basically RLs and evals, which I put sort of together. And so they have very different patterns of usage, and if you look at the usage of a background And I'll just name names of companies, not specifically.Background Agents vs. RL/Evals: Two Usage ShapesSwyx [00:19:21]: Yeah, open, all hands.Ivan [00:19:23]: Yeah. So like a background agent's a Cognition, a Lovable, a like all these things are Harvey. These are all long-running, background agents. And so if you look at their usage patterns, their usage patterns are similar to human, which is like follow the sun. Basically, the usage patterns of that is like noon is probably the highest, and the midnight is the lowest, and then weekends are lower. weekday is higher.Swyx [00:19:42]: Yeah, that's a fun question. How global is it? Is it very US-centric or?Ivan [00:19:46]: The US is a large part, but we have currently, we have Asia, Europe, and the US regions.Swyx [00:19:52]: So it's quite global.Ivan [00:19:53]: Yeah, it's quite global. We have it all over. It's interesting that our I talked to you a bit about this. Our number one city by user.Swyx [00:20:01]: Hmm.Ivan [00:20:02]: Is Singapore.Swyx [00:20:04]: Oh, wow. Amazing.Ivan [00:20:05]: Which is an interesting one, right? Not by revenue, just by just like by individual head count.Swyx [00:20:09]: Really?Ivan [00:20:09]: Just like an interesting thing.Swyx [00:20:10]: Singapore is, Singapore is weirdly high in the adoption charts of AI for the population. It's like an, seven, eight million population. And it's like keeps showing up.Ivan [00:20:20]: No, it's quite interesting. We were quite shocked, and I was like, “Oh, this is interesting.” And also one that's up there.Swyx [00:20:24]: There's a reason I'm doing AI using Singapore. it's because I'm from there.Ivan [00:20:27]: We're there. We're gonna, we're gonna be there as well. and it's interesting that Japan is in the top or like Tokyo's in the top, which is in all the tech cycles it has never been. It has never been, so it's quite interesting that they're.Swyx [00:20:39]: I think the Japanese just love AI. Yeah. It's that, and then it's Brazil. That's it.Ivan [00:20:44]: Brazil has always been in.Swyx [00:20:45]: I think.Ivan [00:20:46]: Even when I look, if you look at like GitHub's data and ask historically with CodeAnywhere, it was always like US, Western Europe, and then you'd have like India, Brazil, China, like that would be there. But like Singapore was not in, specifically Japan was never in sort of that top, that top.Swyx [00:21:01]: Yeah. Weird pockets.Ivan [00:21:01]: Weird. Yeah, so it's very global.Swyx [00:21:02]: Okay, so actually that, but that's helps you to distribute your load through, all time?Ivan [00:21:08]: The interesting thing is like we have those kind of loads, but if you look at the researcher loads, they're quite different. So what they are is like if you give them concurrency of 10,000 or 50,000 or 100,000 CPUs at ARMb, when they fire off a run, it's just 100%. And then it just runs, and then it stops. So it's very, the usage pattern is squares basically, right? And it's also not follow the sun, because people will fire it off at midnight before they go to sleep but then wake up and so it's very unpredictable, so you don't know where that is. So the shapes of the usage are quite different than we have had before. And also what's interesting is when it's sort of a follow the sun, even if you have a high growth company, you can sort of predict your usage patterns and have enough capacity for that, because it's sort of, it grows in a, in a way you can project. When you have companies doing sort of like evals and RL, they're super spiky. So they're gonna come in, it's like, “We're gonna use nothing, then can we have 100,000?” Right? And then go back down. And then 100,000, go back down. So it's very different, right? And.Swyx [00:22:09]: Do you want to lock them into commits so.Ivan [00:22:11]: Yeah, we do.Swyx [00:22:12]: Yeah, okay.Ivan [00:22:12]: We so we have to lock them into some sort of commits to have that capacity, because we have to have, basically we have to have the capacity for peak. Right? And so right now, Daytona's mean utilization is 15%, 1-5.Swyx [00:22:25]: Oh my God.Ivan [00:22:26]: So it's very low.Swyx [00:22:27]: Because it's very spiky.Ivan [00:22:27]: It's very spiky, but we get up to 90%. so we have these things. And so what we're, what we're looking at right now as a company is similar to Cloudflare where you can like geo move things around, but that works really well for basically the background agent where it's follow the sun. But this, it's not. Like it's a very different shape. Obviously with scale you figure these things out, but that's an interesting new problem that we have, as a compute provider in the agent space. And when we were doing the conference recently, and so we talked to like Nikita from Neon and.Swyx [00:22:57]: I should bring it up.Ivan [00:22:58]: Parag from Parallel and whatnot, everyone has the same problem. Whereas the usage is super spiky, and this is something that has not happened before, that you have these types of like it was always, it the amplitudes were not this high, right? So it's quite interesting use case and problem solve.Compute Conference and Spiky Agent InfrastructureSwyx [00:23:12]: Yeah, I don't know if we're gonna bring this up again, but let's just talk about the conference, you had like 1,000 something people at the Warriors game, at the Sorry, where is it? What's.Ivan [00:23:22]: Chase Center.Swyx [00:23:23]: Chase Center.Ivan [00:23:23]: Chase Center.Swyx [00:23:24]: I went. It was, it was very impressive. Obviously, you can, how to throw a conference, what did you learn? you put, you pulled together all these impressive names.Ivan [00:23:33]: What I.Swyx [00:23:34]: What were you looking for?Ivan [00:23:35]: My thesis behind the Compute Conference was let's bring together people that are building infrastructure for AI agents. Because when I think of what we're building, it is the agent is the primary user, what are the ergonomics and usage patterns of agents, and so we can do that. And what I found, this was a theory, it wasn't proven, is that we all have these problems, as I touched onto. And I was, as I was talking on stage, it was like we all have the same underlying infra problems, which is this spiky workloads, unpredictable workloads that we've never had before, in human, compute or human infrastructure. And it's, again, it's the same when I was talking to Parag or when I was talking.Swyx [00:24:20]: Lynn. Nikita.Ivan [00:24:21]: Lynn, Nikita. Lynn especially, I was talking to her the other day as well. Like the It is a very interesting type of problem to solve because I can touch on Cloudflare because there's a lot of like talk about that recently as to how they solve that, which is they have a bunch of geos, and basically, as users work in different places, and depending on your tier, they can move you around the geos. And so that how, that's how they get the higher utilization. But you can sort of predict these, and it's If it's something in You'll rarely get a spike that is 10 orders of magnitude. Like you'll get a like let's say one of your customers has some like an exponential curve. What is that to I'm using Cloudflare as an example. 10%, 20%, whatever it is. I don't, I don't have this data, I'm just assessing. It's surely not 10x, right? It's surely not something there. And so how do you go out and solve this problem? And we're all solving this in different ways. So we have.Swyx [00:25:11]: She also has the same thing.Ivan [00:25:12]: Yeah, I know specifically that like Neon had that issue as well. Like how are we solving these spiky loads and things like that ‘cause we talked about it. And so the interesting thing for me to actually internalize was, yes, everyone that's building for agents first is going through this, and we're all solving similar problems, which is quite.Swyx [00:25:28]: Let me let me double-click on this. Okay. So for example, Neon, I happen to know that they're very sort of S3 oriented, right? so they're just like fully bet on S3. And you get to benefit from S3's distribution and infrastructure. So I would imagine that Neon doesn't have to care, whereas Lynn maybe has to care a bit more because obviously she's doing GPU inference. And, for listeners, we did an episode with her, one and a half years ago. And you have to care. But like, right?Ivan [00:25:54]: Parag cares for sure, and Nikita.Swyx [00:25:58]: And Parag is C of, Parallel.Ivan [00:25:59]: Parallel, yeah.Swyx [00:26:00]: Former CTO of Twitter.Ivan [00:26:01]: Twitter, yeah.Swyx [00:26:02]: They are the search.Ivan [00:26:03]: Yeah, they're search, yeah.Swyx [00:26:03]: I You and I know but the listeners don't know.Ivan [00:26:08]: Yeah, we can put it down in the screen, and so ‘cause we, when we were talking.Swyx [00:26:11]: I'll put it up on the, on the screen.Ivan [00:26:12]: Yeah, right.Swyx [00:26:12]: People can look it up if they need.Ivan [00:26:14]: Look it up. And, yes, but they still have CPU and RAM, allocation that you have to have up and running. And so CPU and RAM, you have to allocate that and have that ready. And so there's basically two ways to do it. One is you either over-provision and you can handle the bursts, or two, you basically have, I don't know if this is a term, just-in-time compute, which is like as your load becomes, as your usage comes in, you can fire off requests for VMs or bare metals at other cloud providers and then get them up and running.Swyx [00:26:43]: This is if you go above 100%, right?Ivan [00:26:45]: Yeah, this is.Swyx [00:26:46]: Like your overflow.Ivan [00:26:46]: If your overflow, like spillage or whatever you do.Swyx [00:26:48]: You probably lose money on it, but it doesn't matter, right?Ivan [00:26:50]: It, not Well, you might, you might not That is a more cost-effective way to do it but it's a slower way to do it. Because basically what you have to do is you have to like queue your requests, spin up these just-in-time compute, get it all ready, provision it, and then get your workload there. And so if the time isn't important that much, that's fine, and you can do that. But if your customer, and especially for, let's say, the RL training runs, the reason why a lot of people come to us is because GPUs are more expensive than CPUs, right? So you want your GPU running at, what, 100% the entire time. And so when you're running runs on CPUs, when the when the CPU cycle is like down and spinning up the next one, you want that to be instantaneous so that your GPU doesn't go down, right? And if you then have to like go out and provision machines, you're essentially telling the GPU that it has to wait, and that's incurring our cost. So there's things that you have to try to solve for there.RL Workloads, Declarative Images, and Kubernetes ReplacementSwyx [00:27:43]: Yeah, let's talk about the different workload, right? You said that, what was it? A few months ago, you had zero RL workload and now it's 50%.Ivan [00:27:52]: It will be this one, 50%, yeah.Swyx [00:27:54]: Let's talk about how different it is, right? Like I imagine, for example, a lot less dynamic code generation of like arbitrary code. Like here, it's probably all the same code. You're just doing parallel runs or something, I don't know.Ivan [00:28:05]: Yeah. So you'll have multiple Depends on the like for each run, you'll have a snapshot. And they, for the most part, they actually do use our declarative image builder, which is like, “Oh, we, the agent wants these dependencies, these env vars.”Swyx [00:28:17]: These ones, yeah.Ivan [00:28:18]: Yeah, the declarative image builder, it.Swyx [00:28:20]: Which is a very modal like thing that they.Ivan [00:28:22]: Yeah. And so we build it on the fly and then we propagate that snapshot, and you can spin up as many sandboxes as you want against that snapshot. And then if you have to do changes, the model can, or like it could be also be automated. It's like, “Oh, now for the next run, we need to install these things or remove these things or whatever to get, a task done,” and then it goes off and runs that. So yes, that is something that it seems that they prefer. The number one reason I found, or should I say, let's take a step back. What we are competing against in that environment is essentially managed Kubernetes. So EKS, GKE, whatever. That is what the vast majority run on. And anyone that has tried Daytona versus GKE, EKS is like, “I'm never going back.” That has always been. There's a few reasons. One is the ergonomics. So if you have, if you're using Kubernetes to spin that up, you have to essentially manage the interface interactions with that. Daytona, although as a compute provider, it's more akin to a Twilio and Stripe from a consumption perspective than it is an AWS. Like you have an API, an SDK, it's quite like easy and seamless to get these things up and running, that's one. The other is the speed to which we spin up, which we mentioned earlier, which is much faster, and the scale to which we can go to. We haven't got into features, but an interesting feature is that it's very hard to OOM, or out of memory, our sandboxes, because we can dynamically on the fly.Swyx [00:29:48]: Resize.Ivan [00:29:49]: Resize, which is like impossible on almost any other thing. There are some technologies that enable you to do that, but it's like a very hard thing. And so we actually saw this when, the Terminal Revenge team is, brought us actually. So thank you, Alex and the team, that brought us into this whole space.Swyx [00:30:05]: It's just very rare that, a framework would just say, “Guys, just use Daytona.”Ivan [00:30:11]: Yeah, I think it says it somewhere. Yeah.Swyx [00:30:13]: Yeah. I was like, “What is this?”Ivan [00:30:15]: There's all, there's multiple there, but they also mention a few other places. and so Daytona specifically-We have, the, just jumping on themes here We, I don't know where it says Data Center.Swyx [00:30:27]: I, there.Ivan [00:30:27]: Doesn't matter.Swyx [00:30:28]: There's a very strong recommendation, which is, very unusual. Which is, it's.Ivan [00:30:33]: We do not pay them for this, just.Swyx [00:30:34]: I know, yeah. They just like you.Ivan [00:30:35]: Yeah, they like us. yeah, and also a thing, so, Data Center has multiple isolation sets underneath. The customer doesn't have to know what they are. But basically we have Docker, which is a container, that's hardened with Sysbox. So it's Docker's, isolation that is a security equivalent to a VM, but it's still a container. And that is the default, and they, especially in these training workloads, really like that as an interface to be able to use just a basic Docker container, and we enable Docker and Docker. Which for these RL runs, if you need to do a Docker compose or Kubernetes, you can spin up a K3S inside of these things, which unlocks a huge amount of workloads that you can do that you cannot do on other providers. So just on that part is much more interesting. And so we went that, through that. We showed them that we could do that, and they enjoyed that quite a bit. They being the general venture people.Swyx [00:31:28]: Those people, yeah.Ivan [00:31:29]: And Harbor people.Swyx [00:31:29]: Harbor people, do are they, are they a company yet?Ivan [00:31:33]: As far, I do not know.Customer Pull, Slack Connect, and the Computer Use BetSwyx [00:31:35]: Okay. All right. Yeah. It's like super obvious that like, there's a lot of excitement and success around these things, okay, so yeah, tell us more, right? Like, this is an exploding workload, Harbor adopted you, which helped speed things along. But what are you learning as this new workload comes online?Ivan [00:31:53]: There's a couple things that we learned, which we chat about in the beginning. We, and this has led our story, as we mentioned, we like talked to a lot of customers along the way, and we add more features and more tool sets as we talk to customers. And it's interesting that And I think it's that the ecosystem is so small and/or the models get smarter, where when we see one user come with a request, we know it goes on a roadmap if like three to five customers come with the same request in that week. It's like very bizarre. It happens so many times, which is.Swyx [00:32:27]: Because they're all friends.Ivan [00:32:28]: Sorry?Swyx [00:32:28]: They all, they're all friends. They're all in the same group chat.Ivan [00:32:30]: Yeah, probably, yeah. ‘Cause and they're like, “Oh, can you do this?” And I'm like, “Okay, this is interesting. We'll put it on a feature request.” And then the next one's like, “Oh, can you do this?” “Okay.” It's all the same, right? It's always the same. And so what we try to do, and I personally try to do, I try to be on as many call, quote-unquote “sales calls” I can. I'm in every Slack channel. We literally have about 1,000 Slack Connect channels, something like that. It's an interesting, there's so many interesting things you find out when you have all the Slack channels. You can also see where people, transfer between companies. You see leave Slack channel, enter Slack channel. It's an interesting thing. Also, just I digress, I feel that Slack Connect is literally LinkedIn what it should be. You have a list.Swyx [00:33:08]: LinkedIn charges you to, use your own connections, but Slack doesn't, right? Slack is like, do it for free. It's more lock-in. It's great.Ivan [00:33:15]: Yeah. It's amazing. Yeah. It's one of the reasons.Swyx [00:33:17]: You're gonna pay Slack for life.Ivan [00:33:18]: Exactly. You're there for life. So that's interesting. And so one of the things, the newer things we were talking about earlier is we made a big bet and put a lot of investment on computer use. that is not seen publicly the light of day. We haven't GA'd that yet, but we have.Swyx [00:33:32]: Is there a thing I can pull up?Ivan [00:33:33]: There is computer use there. It's right up a bit.Swyx [00:33:36]: Oh, yeah. Okay.Ivan [00:33:38]: What we have, what we talked about and what we've seen publicly is there's this theme now about, the human emulator where And Elon from XAI has talked about this publicly, and if you think about the models today, they're actually quite sophisticated and they can do a lot of work, but they still don't have access to all the tools. Like, I'm a strong believer that the most efficient way for an agent to work is essentially headless or through, terminal or whatnot. But if we, if we look at knowledge work in general, there's about 100 million knowledge workers in the US, about a billion in the world, and knowledge workers, and the salaries of them aggregate to 10 trillion in the US 50 trillion worldwide.Swyx [00:34:24]: Wow.Ivan [00:34:25]: Something like that. And if we look at, the five most important sectors of that, so like healthcare and government and financial services and whatnot, that's about 56% of that. So let's say it's about half of that. So in the US it's about 25 trillion, and most of them, most of that work is actually still locked into legacy apps inside of Windows, which is not going anywhere for a very long time. Like, people just won't invest in that. How much of it? our assumption is the following: if, in the RPA market, which is similar market, well, not the same 25% of, these white collar, workers', work is automated. If an agent is more sophisticated, can go through more runs, figure stuff out, let's say it's, 40%, right? And so if you take 40% of that, you get to essentially, $10 trillion a year.Swyx [00:35:17]: That's a TAM.Ivan [00:35:18]: That is a that is a TAM. So that's the TAM of the models, right? That's not our, essentially ours. But you get to that size, and to be able to do that, you essentially have to give agents these computers with the legacy. So computer use, either Mac or Windows or Linux. Linux we also obviously have and others have. But Windows specifically is something very new, and the only option right now is an EC2 with, Windows or on Azure. Both of them take anywhere from three to five minutes to spin up. We've created an actual sandbox, so it's a second instead of milliseconds, but you have, point in time snapshots, you have, forking, you have all the things that you have from a sandbox, but essentially enables you to hopefully unlock all this value. And so that's been our big push and bet, but we've sort of, kept our ear to the ground. What is sort of the next things in the market?RPA Returns: Why Agents Still Need ComputersSwyx [00:36:06]: Yeah, knowledge work, and building, and sort of RPA, the next wave of RPA. I got very excited about RPA kind of during COVID times. The UI path was IPO-ing. And it was, a very hot Isn't it, Eastern European?Ivan [00:36:20]: It is, Romanian.Swyx [00:36:21]: Romanian?Yeah, it might be the only Romanian, big unicorn okay, yeah. This I don't I don't, I don't have like a I think there's, I think there's a stage being set for the resurgence of RPA, ‘cause everyone understands that, yeah, no one wants to deal with these shitty apps and no one's gonna rewrite them. Like, you just have to do, a remote operation and programmatic operation of them.Ivan [00:36:45]: If you wanna unlock it, my own setup was basically the following. So I was doing a board deck recently, last month, whatever, and I'm like, “Okay, let's just, let's just do automated.” So, all our data's in, ClickHouse and PostHog and QuickBooks, where everyone else's is, and I'm basically, connected that all to, my Cloud code, like go off and go Cloud code whatever. Go off and, here's the integrations, go do that. It pulled out the first report, which was great. It connected to Brex and all these things, pulled it, which was great, and then I say, “Okay, now pull out this, and this,” and I kept getting, really well McKinsey-style design reports, but the data said partial data. all the missing data, partial data. Like, it can't access all the things, and I got so frustrated, and so I got, I got, my Mac Mini virtual sandbox with OpenClaw. I gave it its own account in our company, and then I went to all these services and created a read-only account, so literally like an intern in your company. And so I would say, “Now go and do this report,” and it would get the same, or like, “I can't via the MCP or the API or whatever. I can't get all the information.” I'm like, “Go log in.” And it will log into the website, then go in, export the data. It'll export the data and do the thing end to end. So even for things that have today APIs, not all of it is exposed, and I to get value, I get immense value right now, but it has to be a computer usage, unfortunately, and so I spend a bunch of tokens just on that, but I get the job done. And so if even a startup like ours, and using all the hottest tools, still needs a computer agent what hope does, Goldman have to have a headless, right?Swyx [00:38:22]: Yeah, what a - Why isn't Microsoft doing this?Ivan [00:38:27]: I'm pretty sure, Satya had a post yesterday.Swyx [00:38:29]: Oh, okay. I see.Ivan [00:38:29]: Which was like, “Every agent needs a computer.”Swyx [00:38:31]: I see, I see.Ivan [00:38:32]: So they have launched something recently.Swyx [00:38:34]: Yeah, they have Microsoft Power Automate, I'm sure, I'm sure, they're gonna have their version.macOS Sandboxes, Apple Constraints, and the Windows OpportunityIvan [00:38:39]: Version of that, yeah.Swyx [00:38:39]: You're gonna try to do yours, and it - I always know there's always demand for Mac, but I know it's, tricky to host, macOS sandboxes.Ivan [00:38:49]: We will have macOS sandboxes fairly soon. The problem with macOS, OS sandboxes is, I'm deep in this, I don't know how much interesting is.Swyx [00:38:55]: No, it's.Ivan [00:38:56]: MacOS has this problem.Swyx [00:38:57]: It's a licensing thing, right?Ivan [00:38:58]: Licensing thing. So one, you're allowed to run only two parallel VMs per machine, so that's one. Two, you can only license to a different user every 24 hours. So if you come in and theoretically, if I wanna charge you per second and I charge you one second, I have to have it idle for the rest of the day. I can't have anyone else doing that. So the pricing will be different in the sense that I will have to - we would have to charge for 24 hours, and that's not even, that's not even the most difficult thing. But the, thing above that is, from a security perspective, they enable you to do memory snapshot, pause, resume, but only on the same physical drive, physical machine. And so what you can do in, Windows world or Linux world is that I can move in the background, your snapshot from one to the other and manage load, right? Here, if you wanna do that, you essentially have to have your.Swyx [00:39:49]: Yeah, snapshots. Yeah.Ivan [00:39:50]: Your.Swyx [00:39:51]: It's like.Ivan [00:39:51]: Physical machine.Swyx [00:39:52]: You can't break it up.Ivan [00:39:53]: You can't, you can't move things around that, and all of that is, that part is, from a security standpoint, if it is written. Like, I understand the security aspect of that, but it disables you from doing these agentic, like really scalable agentic workloads.Swyx [00:40:08]: You need to do a vibe-coded, clean room implementation on macOS that you can then - That's like Clean OS or something. I don't know.Ivan [00:40:17]: So. We have.Swyx [00:40:18]: ‘cause like Linux was originally like a clean room rewrite of Unix.Ivan [00:40:21]: Okay. Yeah.Swyx [00:40:21]: Or something like that, right? Like same thing to macOS. Someone needs to do it.Ivan [00:40:25]: Someone will do that, and someone will have some long-running agents for a few days to figure this stuff out. But yeah. So definitely we - we're really close to offering something ‘cause people do want it, but the pricing will be different, and the feature set will be sort of stringent.Swyx [00:40:38]: Yeah, nobody's gonna use this. like, the labs, the labs will because they want to automate macOS.Ivan [00:40:42]: They have to do RL. They have to do RL again. But even if you The - So the point is with the RL part, if you, if you do RL on macOS, then the next iteration of the model comes out, it will be able to use these tools significantly. Then you actually need to run those, that somewhere. So you're gonna have to have that, later on. And from, if anyone at Apple is listening, I very much feel that they are shooting themselves in the foot of the scale of the revenue of compute or licensing they could get if they would just enable a concurrency model similar to what you can get on a Windows and a, and Linux.Swyx [00:41:17]: Yeah. Yeah. And I'm sure they've heard this before. They just don't care. Yeah, it's And maybe they will change their mind with the new CEO.Ivan [00:41:24]: Yeah. We'll see.Swyx [00:41:25]: We'll see.Ivan [00:41:25]: High hopes.Swyx [00:41:26]: High hopes.Ivan [00:41:26]: High hopes.Swyx [00:41:27]: Okay. But I, it's very clear the market opportunity is huge in Windows, and you can go for a long time on just Windows, but your customers are gonna want both. and I think, it is interesting to me that, this is the sort of God application of agents, right? Like, I don't It was - How big was OpenClaw for you guys? Like, was it, was there, a significant bump.OpenClaw, Agent Labs, and the B2B2C Sandbox MarketIvan [00:41:54]: Not for us because we.Swyx [00:41:54]: Because you already.Ivan [00:41:55]: We're kind of positioned differently. Whereas although it's completely PLG and we have individual developers that use it, most of the users that use Daytona are sort of a B2B2C. Sort of it's either B2B or B2B2C. So, in the researcher world, it's B2B, so you're selling to, labs and neo labs and things like that. But on the long-running agents, it's mostly, from a scale revenue perspective, it's mostly B2B2C, where you have a app layer agent that uses you at a big scale.Swyx [00:42:26]: Like a Manus. Yeah.Ivan [00:42:28]: Like a Manus Lovable type of thing.Swyx [00:42:31]: Yeah. I think that's the question of, well how, um-Uh, yeah, B2B to C is basically to me what I've been calling an agent lab, which is kind of like you're not in a model lab, but you're making a very good wrapper that is a platform that other people can sign up so they don't have to code those things. Yeah, it sound, it sounds like a much better market than the direct OpenClaw market.Ivan [00:42:56]: I've like - We I've done multiple things. So the CodeAnywhere's part of our career path R in the calendar, was very much an end user developer product. And so that is great. It You can get a lot of developer love, and I feel that we do as a company have a bunch of developer love. But it's a different type, where it's people building these things. Again, it's more akin to a Twilio because you don't really run - As a person, you wouldn't run Twilio. I don't know how many people remember. It was like ask your developer billboard and whatnot. And people really love Twilio, but they only used it inside of like, “Oh, I'm building this app or service for thing.” And so we're very much directly to that. And you also know that I used to work for a competitor for Twilio, so it's kind of ingrained, in my DNA.Swyx [00:43:35]: People don't know InfoBip is that big.Ivan [00:43:38]: Yeah, it's.Swyx [00:43:39]: Because.Ivan [00:43:40]: It's a billion euro.Swyx [00:43:40]: They're all American. They're like, “Whatever's in Europe doesn't matter to me.” But like it's the, it's the same size or bigger? Same size?Ivan [00:43:46]: It's about half the size.Swyx [00:43:47]: Half the size?Ivan [00:43:48]: Yeah, about half the size.Swyx [00:43:48]: It's like, yeah.Ivan [00:43:48]: Still huge. Multiple billions a year. Yes.Swyx [00:43:51]: That's crazy.Ivan [00:43:51]: Exactly, and so that - These are like really interesting and large revenue-generating, very sticky businesses. Whereas when you're selling to the - When your focus is the end developer, it is a very hard sell because they're very price sensitive, very price conscious, very around that. And there's very It's very hard to scale. Your cap is the number of people that are willing to spin up - First of all, wanna spin that up, and then spin up multiple of these. Whereas if you're in the enterprise one, like we know everyone's talking about like how many tokens they're spending, I'm spending. Like a lot of companies today are like, “If this is our company, spend as much as you can.” Like basically that is where we're going. And so if you think about that paradigm, where you're selling to companies that say, “Spend as much as you can to generate, productivity,” versus, “Oh, I'm a single person. I have this much budget, and I'm doing this thing because it's fun or it's helping me out or whatever.” Like it is a different, it's a different go-to-market, I think, strategy.MCP, CLIs, and Sandboxes as the Agent RuntimeSwyx [00:44:50]: Yeah, there's a lot of discussion. I'm just kind of going through like the mental list of things that are in your favor, which is, for example, MCP versus CLI. Like obviously you want CLI. It's been very good for you. I feel like it's maybe a drop in the bucket or maybe it's huge. I'm just checking whether it's like these are big trends.Ivan [00:45:10]: Those things you - work well in our favor, to your point just because every.Swyx [00:45:13]: They're kind of drop in the bucket, right?Ivan [00:45:15]: I think it's like sort of all the things come together. And so there's so many things that impact that. To your point, like OpenClaw wasn't huge for us, but like having the agent SDK, from Anthropic, so or Cloud Claude Code was very interesting. The reason why it was interesting is that a lot of, let's call them app I don't know what to call them, app layer agent companies, essentially they are like, “Oh, I can create this new app, this new agent. All I need, I just use Claude Code, and I throw it into a sandbox, and then I have my interface to the human to that.” And so that enabled so many more companies to actually offer this, and then they would pull on sandbox. So that was, that was interesting. And to your point, like MCP, versus the CLI, the MCP is an interface against an API, whereas the CLI is like you can actually go do things. Like this is it. The difference between integrations and actually running scripts or data or analysis against a thing. So being able to use a CLI very well enables the agent to do more things, and it's because that people will invoke a sandbox, they'll run it in the CLI, and but it'll do anal-analysis on that data and then give you an actual result versus just, pulling data from an API source.Swyx [00:46:29]: Yeah, it's a layer of indirection basically, it's the same thing as agentic search versus RAG, which where you're.Ivan [00:46:34]: Exactly, yeah.Swyx [00:46:34]: Just like you just win whenever people put more agents into their workflow. And so like it doesn't really matter, but I'm just kinda teasing out like what else have people heard about that like it's sort of, “Oh yeah, this is another sandbox use case. Oh yeah, that's another one.” Am I, am I missing any big ones?Ivan [00:46:51]: The thing, the thing that people, which is the computer use stuff, which I think is probably the most interesting one, is, and to your point, we've talked to so many people over the last year. It's like, “Oh, like why do you need a sandbox? Why do you need this? Why this?” And to your point, it's like, “Oh, I need sandbox for this. I need sandbox for that. I need sandbox-” It's like, “Oh, I need it for every single thing.” And so basically what I, what I - and it sounds like a broken record, it's like you use a laptop every single day, right? And you are n of one. It's just you. But now imagine how And by the way, the laptop, the computer PC market, the PC market is about equal to the cloud market in total. So it's about 150, 180 billion a year. Something like that. It's about roughly the three cloud hyperscalers is about equal to like Apple, HP, Lenovo, whatever, It's a little bit less, but it's sort of like that. And now imagine And that's just like, so how big is the addressable market? What, how many people are there in the world now? What's the last data?Swyx [00:47:45]: Let's call it eight billion.Ivan [00:47:46]: Eight billion. And so let's say you can have two computer, like you have one personal and one business, whatever. Like so it's double that, right? and so that's 16 billion, right? How many agents are gonna be running in two years, in 10 years, in 100 years? Like And for every single task, they will need one of these. And so how big is that? That market is essentially quote unquote “infinite”. You will get to the point, and Dylan Patel was at the conference talking about, from SemiAnalysis, that talks usually about GPUs, was also talking about how CPUs will now be a bottleneck because it will be the constraint. You won't be able to grow, or we won't be able to have enough of these because there won't be enough CPUs to basically do.Swyx [00:48:23]: Yeah. Well, I actually had a really good podcast with Doug Oliphant, who, which was his president at SemiAnalysis, where they've basically been like, yeah, it's been a GPU shortage first, but then it's cascaded down to memory and now to CPUs.Ivan [00:48:35]: CPU, yeah.Swyx [00:48:35]: It-What's next? So networking. So, networking actually has been in shortage for a while if you're looking at, just GPU networking. But, yeah, it's really crazy the amount of computer use that's going on, yeah, cool. I, other questions are, just the one very big part is the open sourceness which you didn't have to do, your competitors don't do, like it's not, a lot of people are worried about keeping their projects open source because some competitor can just slot fork it. I don't know if there's any reflections on just being an open source company.Open Source, Trust, and Enterprise ProcurementIvan [00:49:15]: Yeah. There's a bunch. So we the original product that we did was open source.Swyx [00:49:19]: Yeah. CodeAnywhere.Ivan [00:49:20]: So doing that was actually very good for us. There's basically a saying of, What's the saying? Like, companies that are, that are doing really well, measure themselves against, free cashflow, that are kinda okay, it's EBITDA, then, it's, it goes all the way down.Swyx [00:49:36]: The worst is like GitHub stars.Ivan [00:49:37]: GitHub stars. GitHub stars are the worst, yeah. So you go all the way down to GitHub stars. And so our original one was GitHub stars. That's what we talked about, we're at the point we're talking about revenue, so we're we've gone up the stack on that. And so we started.Swyx [00:49:47]: No, profit.Ivan [00:49:48]: Yeah. We haven't, we're, we'll get there. We'll get there. But basically at that point we did stars and GitHub and it was useful, and the original variation that we did, it we split the core into its own repo and it was Apache 2.0, so very, permissive. And then we basically would bundl

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

"Je ne voulais que ça, être quelqu'un d'autre ! Parce que je ne m'aimais pas moi-même. Au départ, il ne faut pas oublier qu'on fait quand même ce métier parce qu'on préfère ses personnages à soi-même…" Pendant plus de 60 ans, cette légende du cinéma mondial a vécu sous un nom qui n'était pas le sien... Parce qu'avant Jean Reno, il y avait Juan Moreno, un enfant né à Casablanca de parents andalous que Franco avait chassés d'Espagne. À 17 ans, il perd sa mère et ce drame fait exploser la cellule familiale. Alors Juan traverse la mer, arrive en France, change de nom et se met en quête du succès. Quinze ans dans l'ombre des seconds rôles ne lui feront jamais perdre la passion du jeu jusqu'au jour où Le Grand Bleu le révèle aux yeux du monde. Puis il y a eu Nikita, Léon… Puis Hollywood. Le masque devient une armure et l'armure une légende. Et pourtant, pendant le confinement, à plus de 70 ans, Jean Reno décide de faire tomber le masque et se retrouve avec lui-même. Il peut commencer à écrire. Dans cet épisode, il raconte ce que c'est que de construire une vie sur un deuil, de tenir quand tout dit d'abandonner et de se mettre en quête de son identité quand on croyait l'avoir perdu pour toujours. Bonne écoute ! ✨ 

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

What would it look like to build a multi-million dollar business while raising six kids, advocating full-time for a child with autism, and navigating everything that nobody put in the business plan?That's exactly what Julie Cole did, and she didn't do it by following the standard playbook.Julie is the co-founder of Mabel's Labels, a brand she started almost 23 years ago with her sister and two college friends when her eldest son was diagnosed with autism at three years old. She left a career in law, started making labels in a basement at 2am, and built something real, not because the timing was perfect, but because she figured out what her actual capacity was and built around that.In this conversation, Julie and Nikita get into the conversation most business advice skips entirely: what actually has to shift when you're a mom, a caregiver, and an entrepreneur all at the same time, and why the skills you're already using at home are more valuable than you think.In This Episode, You'll Learn:Why capacity is the first conversation, not the last: before strategy, before offers, before anything else, you need to know what you can actually carry and Julie's story shows exactly what happens when you get honest about that firstHow the skills you're already using as a caregiver translate directly into business: advocacy, research, negotiation, flexibility under pressure — these aren't soft skills, they're the exact skills that build something sustainableWhy entrepreneurship gets romanticized and what the real version looks like: Julie is direct about what those early years actually looked like, and it's not TED talks and wine nightsHow building a values-led company culture protects both your business and your life: From results-only work environments to neurodivergent hiring, Julie built a company that worked for real humans living real livesWhat the "care gap" actually means for women entrepreneurs: Whether or not you have kids, the invisible load is real, and building a business that pretends otherwise is building on a weak foundationWhy visibility creates credibility, which creates loyalty: Showing up — even when life is heavy, even when the pace feels impossible — is not about hustle, it's about trust⭐ Enjoyed this conversation? Leave a review and share it with another mom who's building something — she needs to hear this one.Leave us a Review and share this episode with a friend.Share Your QA's or ThoughtsProducts We Love + Special Guest Gifts → Want to support the show and treat yourself? We've created a quick-access list of products I personally use and love, exclusive savings from podcast guests, and other gems that can help you live well and do business with chronic illness. Explore our faves + savings here!Join our Community Channel Here.

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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

Ich frag mich manchmal schon, was wäre ich wirklich bereit aufzugeben für die Dinge, an dich ich glaube? Gerade deshalb imponiert es mir umso mehr, wenn jemand ganz offensichtlich bereit ist, ein Risiko einzugehen, so wie mein Gast heute, Nikita Teryoshin.Er beschreibt seine Themen als “street, documentary and everyday horror”. Er berichtet mit seinen Bildern von der Absurdität von Waffenmessen; darüber, was hinter den Kulissen der Politik wirklich passiert; über lebenslange Haftstrafen für Zoo-Tiere und er hat eben auch seinen russischen Pass verbrannt, um ein Zeichen zu setzen – was heute sehr spürbare Auswirkungen auf sein Leben hat.Wir sprachen darüber wie es war, als er mit 13 aus Russland nach Deutschland kam; über Scheitern, sei es im Grafik-Design oder beim Versuch einen Job im Supermarkt zu ergattern; über seine Anfänge bei der Vice in Berlin; über Rebellion und Klassenkampf; und über die Rolle, die man als Dokumentarfotograf hat.

For the woman who has been sensing she's meant to hold this kind of work for other women.This episode is the full recording of The Calling: a live group ceremony I held before the doors of my 6-month Somatic Healing & Feminine Embodiment Facilitator Training opened.Inside, we move through a guided somatic embodiment practice together. You'll experience the work in your body, Then I walk you through what the 6-month transformation actually looks like. From the body's wisdom, the feminine awakening to the moment you become the facilitator the women you're meant to serve have been quietly looking for.If you've read the books, done the therapy, the years of inner work and you've been sensing that there's a deeper layer your body is asking to meet, this is for you.If you've been quietly imagining what it would look like to guide other women through ceremony, somatic work, and feminine embodiment, this is for you.If you've been waiting to feel "ready enough" before you step into the role you've been called to, this is especially for you.

On this episode of The Video Store Podcast, I am recommending four movies about the people who get called when somebody has made a mess, crossed the wrong person, or needs a situation to go away quietly. The movies this week are Sweet Smell of Success (1957), Wise Guys (1986), La Femme Nikita (1990), and Pulp Fiction (1994). They all deal with that idea in different ways, from a press agent trying to stay useful, to mob errand boys trying to stay alive, to handlers working inside a government machine, to a man who arrives with a plan when everyone else is panicking.I start with Sweet Smell of Success (1957), which may be the coldest movie on this list. Tony Curtis plays Sidney Falco, a press agent who is always working an angle and always trying to stay useful to Burt Lancaster's J. J. Hunsecker. Hunsecker has the power, but Falco is the fixer. He is the one moving through restaurants, clubs, offices, and sidewalks trying to make things happen for people who would rather not get their own hands dirty. The film was directed by Alexander Mackendrick, with cinematography by James Wong Howe and music by Elmer Bernstein. It was shot partly on the streets of New York, and it still feels like a movie made out of cigarette smoke, bad favors, and late night anxiety.Then I move to Wise Guys (1986), a Brian De Palma comedy that feels a little odd in his filmography, which is part of what makes it interesting. Danny DeVito and Joe Piscopo play low level mob guys who are useful until they are not. They run errands, take orders, and try to read the room, but the room keeps changing on them. Harvey Keitel, Dan Hedaya, Ray Sharkey, Frank Vincent, and Captain Lou Albano are all in the cast, which gives the movie a nice mix of mob movie faces and broad comedy. It is not De Palma in thriller mode, but you can still see his interest in people trapped inside systems they do not fully control.The third recommendation is La Femme Nikita (1990), Luc Besson's French action thriller about a young woman pulled into a government program that turns her into an assassin. The fixer here is not only one person. It is the whole structure around her. Tchéky Karyo's Bob is part handler and part threat, someone who can seem kind while reminding Nikita that her new life is not really hers. Jeanne Moreau also appears as Amande, who helps shape Nikita into someone who can move through polite society while carrying a completely different life underneath. Anne Parillaud won the César Award for Best Actress for the role, and you can see why. She has to play the violence, the fear, and the strange sadness of someone being rebuilt for other people's purposes.The last movie is Pulp Fiction (1994), where Harvey Keitel's Winston Wolf may be the cleanest example of this week's theme. He arrives, assesses the problem, gives instructions, and leaves before the movie can turn him into something bigger. That is part of why the character works so well. He does not need a long backstory. He is there because somebody called the right number. The movie is full of people talking themselves into and out of danger, but Mr. Wolf is different. He does not talk around the problem. He handles it.So this week, the shelf has a bitter New York classic, an oddball mob comedy, a French thriller, and one of the defining crime films of the 1990s. Four very different rentals, all built around people who know what to do when the situation has gone bad.Thanks for reading Video Store Podcast! Subscribe for free to receive new posts and support my work. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.videostorepodcast.com

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

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

Singer d4vd has been arrested and charged with the first-degree murder of 14-year-old Celeste Rivas Hernandez. Her body was found decomposed and dismembered in the front trunk of his Tesla. He was on tour when they found her. In Part 1, Tyrella and Nikita cover the full refresher on who Celeste was, how her remains were discovered, the arrest and charges, and what the autopsy revealed. Part 2 drops Thursday, 5/7— and what prosecutors found on his phone changes everything. ⚠️ Content warning: detailed discussion of child murder, dismemberment, and child sexual abuse. 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 IQBAR: Text QUEENS to 64000 to get 20% off all IQBAR products, plus FREE shipping. Message and data rates may apply. Honeylove: Save 20% Off Honeylove by going to https://honeylove.com/CRIMINAL ! #honeylovepod Batch: Right now, Batch is offering 30% off sitewide – including subscriptions.  Go to hellobatch.com/CRIMINAL and use code CRIMINAL at checkout. © 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

Singer d4vd has been arrested and charged with the first-degree murder of 14-year-old Celeste Rivas Hernandez. Her body was found decomposed and dismembered in the front trunk of his Tesla. He was on tour when they found her. In Part 1, Tyrella and Nikita cover the full refresher on who Celeste was, how her remains were discovered, the arrest and charges, and what the autopsy revealed. Part 2 drops Thursday, 5/7— and what prosecutors found on his phone changes everything. ⚠️ Content warning: detailed discussion of child murder, dismemberment, and child sexual abuse. 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 IQBAR: Text QUEENS to 64000 to get 20% off all IQBAR products, plus FREE shipping. Message and data rates may apply. Honeylove: Save 20% Off Honeylove by going to https://honeylove.com/CRIMINAL ! #honeylovepod Batch: Right now, Batch is offering 30% off sitewide – including subscriptions.  Go to hellobatch.com/CRIMINAL and use code CRIMINAL at checkout. © 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

Teaser ... Bob's big personal news ... The US counter-blockade backfires ... Iran retains escalation dominance ... Why the Iranian regime is built to absorb assassinations ... "Donald, it's too late for that." Bob says Trump has to take the L ... Putin's Victory Day ceasefire (with a threat) ... Russia's vibe shift: drone attacks, airport shutdowns, Internet blackouts ... Instagram influencer rants at the Tsar ... Siloviki vs. civilian elites ... Heading to Overtime: The Matrix, AI, DMT, interdimensional crocodiles ...

CHECK OUT THE PATREON! - https://www.patreon.com/ThePogcastPod On this episode of the Pogcast we talk through Veritas struggling to find a game to sink his teeth into, the release of Arc Raiders new content and how it doesn't hit like it used to, and we talk through some recent communication from BSG about Tarkov. Lastly we take some time to dive into Nikita's new project Fragmentary Order. Check it out! Timestamps 00:00:00 - Intro Banter 00:01:56 - Vampire Crawlers 00:22:08 -Arc Raiders Discussion 00:54:02 - Content Creation Imposter Syndrome 01:17:03 - Jesse's Twitter Powers 01:21:44 - Tarkov's Lighthouse Update 01:41:30 - Fragmentary Order Check out JesseKazam Twitch: http://Twitch.tv/jessekazam YouTube: https://www.youtube.com/jessekazam Twitter: http://Twitter.com/jessekazam Discord: https://discord.gg/jessekazam Check out Veritas Twitch: http://Twitch.tv/Veritas YouTube: https://www.youtube.com/@VeritasGames Twitter: http://twitter.com/veriitasgames Spotify: https://open.spotify.com/artist/2S6iwClVoSNnpOcCzyMeUj Learn more about your ad choices. Visit podcastchoices.com/adchoices

What is it about history's wicked women that is so riveting? Why should difficult and different instantly mean dangerous? Irish-Indian poet Nikita Gill is taking back the fairy tales, Greek and Hindu myths, challenging our ingrained fear of the 'difficult' woman as hard and callous, not nurturing or maternal. Instead she's giving them a shift of perspective to bring some of literature's most maligned or underwritten female characters out of the shadows. She talks to Mihingarangi about how powerful women would be if we only protected and helped each other and why "softness" in women is often another way of men telling them to be quiet. Nikita has nearly 850,000 Instagram followers worldwide for her work and has written seven poetry collections and two novels. Her latest book is Hekate which she'll discuss at the Auckland Writer's Festival.

In the conclusion of our "Best of the Trial" series, Tyrella and Nikita dive into the most emotional and bizarre moments from the Kouri Richins courtroom. We start with Robert Grossman, the "boyfriend" whose testimony began with a moment so unusual that Judge Mrazik had to halt proceedings to explain the concept of "the whole truth." We break down the devastating texts, the $25,000 life insurance payment, and the chilling question Kouri asked him just two weeks after her husband's death. Then, we look at the strategic battle over the "Drug Chain." Even with a witness who couldn't remember his own interview, the prosecution had a secret weapon: location data. Highlights: The moment the courtroom went silent during the oath. Why the defense's cross-examination of the housekeeper might have been their biggest mistake. Tyrella's "official" review of Judge Richard Mrazik (the man with the voice of an angel). Where sentencing stands Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the conclusion of our "Best of the Trial" series, Tyrella and Nikita dive into the most emotional and bizarre moments from the Kouri Richins courtroom. We start with Robert Grossman, the "boyfriend" whose testimony began with a moment so unusual that Judge Mrazik had to halt proceedings to explain the concept of "the whole truth." We break down the devastating texts, the $25,000 life insurance payment, and the chilling question Kouri asked him just two weeks after her husband's death. Then, we look at the strategic battle over the "Drug Chain." Even with a witness who couldn't remember his own interview, the prosecution had a secret weapon: location data. Highlights: The moment the courtroom went silent during the oath. Why the defense's cross-examination of the housekeeper might have been their biggest mistake. Tyrella's "official" review of Judge Richard Mrazik (the man with the voice of an angel). Where sentencing stands Learn more about your ad choices. Visit podcastchoices.com/adchoices

Get featured in our next episode! Leave us a message here: https://podcasters.spotify.com/pod/show/scavtalk/messageJoin the Discord! - https://discord.gg/T9QA2DuFcPTerraUwU- Twitter https://twitter.com/Terra__UwU- Twitch https://twitch.com/Terra__UwUGigaBeef- YT https://www.youtube.com/Gigabeef- Twitter https://twitter.com/Gigabeef

What happens when you disappear from your own podcast without explanation? In this vulnerable return episode, I'm sharing the real story behind my unannounced break and what it taught me about the transitions we don't talk about in business.I'm Nikita Williams, your host, and after running Business with Chronic Illness for years, I found myself in a quiet transition that didn't come with announcements or pretty bows. Sometimes something inside you changes before the outside world even knows it's happening.In this episode, we explore:- The quiet changes happening in your business that deserve space and time- How your body constantly gives you feedback about what your business needs- Why persistence doesn't always look like showing up- The difference between obligation-based consistency and aligned sustainability- How to protect what you're building when your capacity changes- Permission to move through transitions privately before sharing them publiclyThis episode is for you if:- You've felt something shifting in your business but can't name what it is- You're tired of forcing consistency when your capacity has changed- You've ever needed to step away from something without a perfect explanation- You're navigating health changes that affect your business operations- You want permission to honor your transitions even when they're messyThings mentioned in this episode:Join us for our First BWCI Insider Group Live CallHere's the Blog Series on Transitions from: Andrea Nakayama, Functional Nutrition SpecialistJoin our Built to Breathe community on Substack for more real-time conversations.Subscribe to the Chronically Profitable email series for business strategies that work with your reality, not against it.✨ Thank you for listening.Here's how to connect with Nikita, your host:→ Grab your Free Curated Podcast for Business Growth Playlist→ Grab Your Free 5-Day Private Podcast Series to Help You Make Sales with Ease with Long-Form Content and Nervous-System-Friendly Marketing Strategies for Women with Chronic Illness & Burnt-Out Entrepreneurs.⭐ Loved this episode? Leave a review and share it with a friend who's ready to grow their business without burnout or sacrificing their well-being.

Teaser ... Trump's Iran blockade breaks the ceasefire ... A Chinese tanker calls Trump's bluff ... Bob's case for an Iranian "tollgate" ... Anthropic's Mythos model is too dangerous to release ... Nikita's big idea: AI as world peace mediator ... Heading to Overtime ...

What happens when you turn a "bullshit" police raid into a viral rap song? In August 2022, the Adams County Sheriff's Office raided Afroman's home looking for a basement dungeon that didn't exist. When no charges were filed, Afroman did what he does best: he made music. Using security and bodycam footage, he released hits like "Lemon Pound Cake" and "Randy Walters," leading seven officers to sue him for defamation and false light. Join Tyrella and Nikita as they break down the March 2026 civil trial, the "actual malice" standard for public officials, and the "diabolically funny" moments in the courtroom—from "reshuffling" seized cash to a witness who didn't know if his own wife had cheated. It's a masterclass in the First Amendment, parody as criticism, and why you should never mess with Afroman's mom's pound cake. 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: 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

What happens when you turn a "bullshit" police raid into a viral rap song? In August 2022, the Adams County Sheriff's Office raided Afroman's home looking for a basement dungeon that didn't exist. When no charges were filed, Afroman did what he does best: he made music. Using security and bodycam footage, he released hits like "Lemon Pound Cake" and "Randy Walters," leading seven officers to sue him for defamation and false light. Join Tyrella and Nikita as they break down the March 2026 civil trial, the "actual malice" standard for public officials, and the "diabolically funny" moments in the courtroom—from "reshuffling" seized cash to a witness who didn't know if his own wife had cheated. It's a masterclass in the First Amendment, parody as criticism, and why you should never mess with Afroman's mom's pound cake. 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: 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 Reserved Audio 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 the early 1990s, New Orleans was known as the "Murder Capital of America," but the most dangerous criminals weren't just on the streets—some were wearing badges. Today on This Feels Criminal, Tyrella and Nikita break down Operation Shattered Shield, the massive FBI sting that exposed deep-seated corruption within the NOPD. We follow the story of the Hardy Brothers, a violent drug syndicate protected by the very officers sworn to stop them. At the center of it all is Officer Len Davis, a man so feared he was nicknamed "The Desire Projects Terrorist." When 32-year-old mother Kim Groves filed a brutality complaint against him, she had no idea she was signing her own death warrant. In this episode, we discuss: The Hardy Boys: How Wayne and Paul Hardy built a drug empire with help from inside the police department. The FBI Sting: How an undercover agent posing as a Miami dealer caught NOPD officers guarding shipments of cocaine. The Betrayal of Kim Groves: The heartbreaking story of a mother who stood up for her community and the chilling moment her murder was caught on an FBI wire. The Aftermath: The fallout of the 2012 DOJ consent decree and the quest for reform in New Orleans. 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: Veracity: For up to 45% off your order head to VeracityHealth.co and use promo code QUEENS. © 2026 Killer Queens Podcast. All Rights Reserved Audio 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 the early 1990s, New Orleans was known as the "Murder Capital of America," but the most dangerous criminals weren't just on the streets—some were wearing badges. Today on This Feels Criminal, Tyrella and Nikita break down Operation Shattered Shield, the massive FBI sting that exposed deep-seated corruption within the NOPD. We follow the story of the Hardy Brothers, a violent drug syndicate protected by the very officers sworn to stop them. At the center of it all is Officer Len Davis, a man so feared he was nicknamed "The Desire Projects Terrorist." When 32-year-old mother Kim Groves filed a brutality complaint against him, she had no idea she was signing her own death warrant. In this episode, we discuss: The Hardy Boys: How Wayne and Paul Hardy built a drug empire with help from inside the police department. The FBI Sting: How an undercover agent posing as a Miami dealer caught NOPD officers guarding shipments of cocaine. The Betrayal of Kim Groves: The heartbreaking story of a mother who stood up for her community and the chilling moment her murder was caught on an FBI wire. The Aftermath: The fallout of the 2012 DOJ consent decree and the quest for reform in New Orleans. 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: Veracity: For up to 45% off your order head to VeracityHealth.co and use promo code 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 November 2004, the quiet community of Delmar, New York, was shattered by a brutal late-night attack on Joan and Peter Porco. While Peter tragically succumbed to his injuries after attempting his morning routine, Joan survived to offer a chilling clue to investigators. Join Tyrella and Nikita as they deconstruct the circumstantial evidence, the 200-mile highway trail, and the complex family dynamics that led to the conviction of their youngest son, Christopher Porco. Did he really kill his father and attempt to murder his mother? 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 © 2026 Killer Queens Podcast. All Rights Reserved Audio 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