Podcasts about Ashburn

Scott Jackson and Anthony Armstrong are joined by former Redskins tight end Logan Paulsen. Anthony and Logan shared the field with Washington in 2011-2012 and now shared a few minutes to talk about this new-look Washington Commanders offense led by Jayden Daniels and new offensive coordinator, David Blough. 0:28 Logan Paulsen, Fashion Icon 1:00 Logan's expectations of the tight end room 2:45 What excites Logan about the offense? 4:30 How can the uncertainty and unknown be a benefit for the team? 6:45 How has the OL looked so far? 9:00 Nick Allegretti and his leadership 10:40 Running Back Room: Rachaad White, Bill Croskey-Merritt, Kaytron Allen 13:40 Defensive line and their 1on1s 15:30 Linebackers that can 'Hunt' 16:15 Who starts across from Nick Cross? 18:00 Srappy CB Room 20:10 Trey Amos in yr 2 20:45 Which side benefits more from the new systems: Offense or Defense? 23:19 Comparing the 2026 offseason to the 2025 offseason 23:53 Terry's Presence is Felt Thanks for having a listen to this episode of Bleav in Commanders.  Please be sure to LIKE, COMMENT, and LEAVE A REVIEW! #RaiseHail Follow Anthony | Follow Scott | Follow Logan Get your MINDSET Hat HERE Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Andy previews Game 4 of the NBA Finals tonight in New York, and the Commanders utilizing some new tech in OTAs. (19:02) More from Ashburn, Nick Allegretti on his new opportunity at center, and Trae Young talking big. (44:27) More NBA Finals talk. To hear the whole show, tune in live from 9:00 AM - 11:00 AM Monday-Friday. For more sports coverage, download the ESPN630 AM app, visit https://www.sportscapitoldc.com. To join the conversation, check us out on twitter @ESPN630DC and @andypollin1See omnystudio.com/listener for privacy information.

JP Finlay and Mitch Tischler join you to break down the end of the voluntary off season schedule with the final OTA of the year. The guys open talking about Brandon Aiyuk with all of his instagram posting over the weekend before getting to what happened on the field and their one thing.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Former Redskins WR Anthony Armstrong and Scott Jackson discuss the latest Commanders news from Ashburn, VA. This week, we heard from HC Dan Quinn, new OC David Blough, Terry McLaurin, and Josh Conerly Jr before and after OTA practice on 6/2/2026. What did they have to say about the progress of installation on the offensive side of things? 1:00 We heard from Terry McLaurin, Josh Conerly Jr, David Blough and Dan Quinn 2:00 Josh Conerly Jr's offseason - big jump incoming? 4:15 Excitement on offense 5:20 COLLABORATION! 6:00 Wes Welker's input 9:56 Thoughts on the LA Rams adding Myles Garrett 13:00 Terry McLaurin on the move? 16:49 Bill Croskey-Merritt 19:12 Commanders Release WR Ja'Corey Brooks, Sign TE Anthony Frisker 22:30 NBA Finals on FanDuel 24:54 CONGRATULATIONS AJ BROWN! The 2026 season is working it's way into shape and the Commanders are putting in the work to capitalize on a successful offseason, to date.  Stay tuned for more Commanders content throughout the summer and into training camp! HOMEWORK: Tweet Anthony and Scott your Terry McLaurin stats predictions. 1150 yds 10+ TDs? #RaiseHail Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The second hour of AWadd Radio begins the same way it always does with a trip to Ashburn to figure out the latest with the Washington Commanders as OTA's continue! What does the WR room look like after the news with Brandon Aiyuk, do the Commanders move off of the former star WR? Soccer expert for ESPN Sebastian Salazar joins the show to talk all things World Cup, from the US roster and its strengths and weaknesses, to who the favorite in the cup should be. The World Cup kicks off in just a week and AWadd gets you ready to go! Lynnell Willingham joins AWadd to talk about his takeaways from Commanders OTA's. What are his thoughts on the two position groups WR and CB that are under the biggest spotlight! AWadd has started one of the best shows of all time, Mad Men. What's next for the radio host in his journey through the world of Hollywood and entertainment on Netclix? Tune in LIVE every weekday from 12-3 PM everywhere on the Audacy app and locally at 910 the fan and 105.1 FM for more AWadd Radio!!

Welcome back to The One Point Safety Show – the #1 Washington Commanders podcast in the UK!

Today's episode of BMitch & Finlay features the guys live from Ashburn for week two of Commanders OTAs, and they discuss all the top headlines from camp. Also, Commanders Team President Mark Clouse stopped by to talk about the new Season Ticket Member Value Menu making concessions more affordable, Nathan Grubel joins to explain why he's team Cam Boozer for the No. 1 pick in the NBA Draft, and Paul Tenorio joined the show to discuss all things World Cup!

After a wacky Monday in sports, AWadd brings you up to speed with all the chaos of the sports world. Blockbusters in the NFL, NBA and NHL finals, the college world series, and more when we open up the sports app! Michael Phillips joins the show for some Crosstalk as the Squirrels look to clinch a home playoff series this week at CarMax Park. Plus can we start a tarps off movement here in Richmond? The Washington Commanders spoke to the media yet again. We've covered the defense ad nauseum, but how is the new look offense going to be? We check in with new OC David Blaugh to see what he had to say in Ashburn! The tarps off movement has taken the country and baseball world by storm! Is it on it's way to the capital of Virginia? Tune in LIVE every weekday from 12-3 PM everywhere on the Audacy app and locally at 910 the fan and 105.1 FM for more AWadd Radio!!

On today's BEST OF AWadd Radio, The Washington Commanders spoke to the media yet again. We've covered the defense ad nauseum, but how is the new look offense going to be? We check in with new OC David Blaugh to see what he had to say in Ashburn! Justin Fensterman kicks off the power hour of AWadd Radio today to help us break down everything we need to know about the NBA Finals starting tomorrow! Who does he have winning and what would a Knicks or Spurs championship mean for the future of the NBA? The NBA Finals are set and the Knicks are looking to raise the trophy for the first time since 1973. In order to do that they have to get past the team that took them out last time in 1999, the San Antonio Spurs! Can Bruson, KAT and the gang take down Wemby and the Spurs or is it time to party like it's 1999? The NFL had not 1 but 2 blockbuster trades. The Rams stole away the best player in the NFL from the Browns for a lot, and AJ Brown is heading to New England! Did the Eagles make a mistake trading away AJ Brown and how is it going to affect the offense of the Eagles this year? Tune in LIVE every weekday from 12-3 PM everywhere on the Audacy app and locally at 910 the fan and 105.1 FM for more AWadd Radio!!

The OTA hype is in full swing, and Commanders fans are already drawing conclusions from every throw, catch, and practice clip.Tonight we're breaking down the biggest storylines from Washington Commanders OTAs, including Jayden Daniels, Terry McLaurin's contract situation, Antonio Williams, Sonny Styles, roster battles, standout performers, and all the overreactions coming out of Ashburn.Join us live for analysis, debate, and a healthy dose of OTA-verreaction.#WashingtonCommanders #Commanders #RaiseHail #JaydenDaniels #NFL

The U.S. Marshals Service is searching for a woman convicted in the death of her 10-month-old daughter after she failed to appear for sentencing. A homicide investigation is underway after a man was fatally shot Monday night in Hagerstown. The Loudoun County Sheriff’s Office is working to piece together what led to a pedestrian being struck in Ashburn and later transported to a hospital by someone who was at the scene. Replacement ballots are now on the way to Maryland voters after a ballot printing mistake sent some residents the wrong party’s primary ballot earlier this month. See omnystudio.com/listener for privacy information.

Hour 1 of BMitch & Finlay features the guys live from Ashburn reacting to another Nationals win and the Commanders reporting to OTAs.

Today's episode of BMitch & Finlay features the guys live from Ashburn for the first day of Commanders OTAs. Dan Quinn spoke to the media, the guys discussed the idea of Washington having a championship-caliber team, and OTA storylines were laid out. Plus, a TERRIBLE Top 10 DC athletes list, and the Nats stay hot and look to keep it going!

Get the latest news, practice insights, and postgame breakdowns on the Washington Commanders, along with league-wide updates, on The Lake Lewis Jr Show on ESPN Radio.In this episode, Lake Lewis Jr with the help off Washington Commanders fans , discusses the latest from rookie minicamp in Ashburn, Virginia.

JP and Tobi are live from Ashburn ahead of Commanders rookie camp.

Hour 1 of BMitch & Finlay features JP and Tobi previewing rookie mini camp live from Ashburn.

Today's episode of BMitch & Finlay features the guys live from Ashburn for Commanders rookie mini camp.

Ben Standig was on site in Ashburn. He lets Grant & Danny know who stood out.

Andy returns from his day off with some remembrance of Redskins great Monte Coleman, and some NFL Draft follow up, including Sonny Styles being introduced in Ashburn. To hear the whole show, tune in live from 9:00 AM - 11:00 AM Monday-Friday. For more sports coverage, download the ESPN630 AM app, visit https://www.sportscapitoldc.com. To join the conversation, check us out on twitter @ESPN630DC and @andypollin1See omnystudio.com/listener for privacy information.

For the second year in a row, the annual Cinco de Mayo Parade in Little Village is being canceled. We ask contributor Brandon Pope and Justice Informed CEO Xavier Ramey why organizers believe now is not the right time to bring the celebration back. Plus, a federal judge ruled on a lawsuit against the deployment of National Guard troops, an Ashburn motel is being turned into a shelter, and our guests weigh in on the return of the Silver Room Block Party. Good News: South Side Weekly Alternative Issue Become a member of City Cast Chicago. Want some more City Cast Chicago news? Then make sure to sign up for our daily newsletter. Follow us @citycastchicago You can also text us or leave a voicemail at: 773 780-0246 Learn more about the sponsors of this April 22 episode: Enjoy Illinois ComEd Interested in advertising with City Cast? Find more info HERE

Send us Fan MailIn this Characters From Corporate segment, we hear from a 50-year-old Black woman in Ashburn, Virginia who has spent 25 years building a successful career as a senior-level paralegal at a global law firm. On paper, everything looks solid. She's respected, experienced, and financially stable. But behind the title and the benefits, she's exhausted and wrestling with a question a lot of people in corporate quietly carry.She's started a small business on the side that gives her more energy and purpose than her day job, but it is not making enough money yet to feel safe. And with a family depending on her, walking away from stability feels less like freedom and more like a gamble.This conversation gets into the tension between security and calling, the fear of betting on yourself later in life, and what it means when the life you built no longer feels like the life you want. Upton LawAt Upton Law, PLLC, We Specialize In Business, Bankruptcy, And Real Estate Law. Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showGAIN ACCESS TO THE CONVERSATIONS WE CAN'T HAVE ON THE MAIN FEEDHave a voice in the show so episodes reflect the real questions, struggles, and wins you care about.Build real financial confidence with a full course that helps you make smarter money moves, not just collect random tips.Get the full story behind every guest so you can learn from what they did right, what they hid, and what they regret.Understand how each episode was born so you can see the thought process, lessons, and strategy you can apply in your own life.Connect with a like-minded community so you are not doing healing, legacy building, and wealth creation alone.SEND US YOUR STORIES (START-UPS, CORPORATE STORIES) moneysexgenx@gmail.comFOLLOW US ON  You Tube.

At The NAMM Show 2026, John Page walks Sean Martin of ITSPmagazine through a hand-painted electric guitar called the Retablo. The motifs are lifted from the artwork that traditionally sits behind a cathedral altar, reimagined so the saints and icons are not from scripture but from the roots of American music. Sister Rosetta Tharpe. Muddy Waters. Howlin' Wolf. Mahalia Jackson. The canvases themselves are cut from the floorboards of an old church. It is one of the most personal guitars John Page has ever built. The conversation traces the arc of John Page Guitars, the small-batch shop John Page runs after more than 20 years at Fender, where he co-founded the legendary Custom Shop and led guitar research and development. He has now been designing and building guitars for 53 years. What gets made today at John Page Guitars is built by a small team, with John Page handling his own custom work and prototypes while a master builder works alongside him on production models. What makes the instruments different is not one big thing but a series of quiet decisions. John Page mounts the neck to the body with threaded machine inserts and machine bolts instead of standard wood screws, a coupling he believes transfers tone better between neck and body and adds overtone complexity that a conventional bolt-on simply does not produce. A flatter 12-inch radius, a reverse-angled bridge pickup that removes the ice-pick high, a vintage-feeling neck profile. Every decision serves a single goal: an instrument that sings as a complete unit. John Page describes his design philosophy in two short phrases. The first is "uniquely familiar," the idea that a guitar should feel comfortable in a player's hands and recognizable in their eyes while still being clearly its own thing. The second is "balanced asymmetry," an imbalance in which he finds a kind of perfect balance. Both show up in the offset fret markers, the body contours, and even in the restraint of the aesthetic choices that surround the Retablo's portraits. The Retablo itself is where that philosophy leaves the factory floor and becomes something closer to a reliquary. John Page had never painted portraits before. He taught himself, hand-painting each founder of American roots music onto wood reclaimed from a dismantled church, designing and building a custom bridge that routes volume and tone controls into the tailpiece so the body can carry its imagery unbroken. A full documentary exists on the making of the guitar for anyone who wants the layer-on-layer detail. When the talking is done, Bryan Ray of John Page Guitars steps in with one of the new baritone builds to let the instrument speak for itself. Every design decision John Page described is suddenly in the room, audible, as one of his guitars does exactly what he designed it to do. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUESTS John Page, Founder, John Page Guitars (Co-Founder, Fender Custom Shop) LinkedIn: https://www.linkedin.com/in/john-page-742b4213/ Bryan Ray, Marketing Director, John Page Classic LinkedIn: https://www.linkedin.com/in/bryan-ray-a63b5419/ RESOURCES John Page Guitars: https://www.johnpageguitars.com/ Meet John Page: https://www.johnpageguitars.com/pages/john-page The Retablo and other Art Guitars: https://www.johnpageguitars.com/pages/john-page John Page Signature Collection: https://www.johnpageguitars.com/collections/guitars The NAMM Show: https://www.namm.org/ Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS John Page, Bryan Ray, John Page Guitars, John Page Classic, Fender Custom Shop, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, guitar design, luthier, electric guitar, The NAMM Show 2026, NAMM 2026, Retablo art guitar, Ashburn, Bloodline pickups, American roots music, custom guitars, handmade guitars, boutique guitar builder Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

JP Finlay and Mitch Tischler join you from Ashburn to react to GM Adam Peters and Asst. GM Lance Newmark's presser a week ahead of the 2026 NFL Draft. The guys share the importance of the Burgundy & Gold nailing their 7th overall pick and share their thoughts on the reduction time made to the draft.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Artists Tommy Riefe and Lexa Walsh join me to discuss the New Museum expansion and show, New Humans: Memories of the Future curated by Massimiliano Gioni and Gary Carrion-Murayari. We discuss the success of the building itself and then move onto the show's major themes—the history of the human body as mediated by technology.    Additional Resources:  Tommy Riefe Lexa Walsh  The New Museum, New Humans: Memories of the Future Jeffrey Deitch, Post Human, 1992   Boris Groys, Art Power, 2008 Jason Farago, The New Museum Reopens Asking: “What is Human?”, 2026, The New York Times   Artist guests:  Tommy Riefe  Riefe earned his BFA in Art History and Sculpture from the University of Northern Iowa in 2014, and later received his MFA from the Sam Fox School of Design and Visual Arts at Washington University in St. Louis in 2017. He has been in numerous group exhibitions and has public sculptures in the collections of Howard Hughes Medical Institute in Ashburn, VA (2022) Fort Dodge, IA (2021) Lakewood, MN (2019), Iowa State University (2018), Minnesota State University (2018), Laneken, Belgium (2018), Cedar Falls, IA (2017) Rock Island, IL (2016), and Sioux City, IA (2016).   Lexa Walsh Lexa Walsh is an artist, cultural worker and experience maker.  With a background in both sculpture and social practice, Walsh makes site specific projects, exhibitions, publications and objects, using an array of materials including ceramics and textiles, employing social engagement, institutional critique, and radical hospitality to question hierarchies, power and value.   Walsh founded the experimental music and performance venue the Heinz Afterworld Lounge, and co-founded and conceived of the all women, all toy instrument ensemble Toychestra.  Walsh worked for many years as a curator and administrator at CESTA, an international art center in Czech republic, whose team created radical curatorial projects to foster cross-cultural understanding. She founded Oakland Stock & Soup for Social & Racial Justice, and the Bay Area Contemporary Art Archive. She is a graduate of Portland State Universitys Art & Social Practice MFA program and was Social Practice Artist in Residence in Portland Art Museums Education department. She was a recipient of Southern Exposures Alternative Exposure Award, the CEC Artslink Award, the Gunk Grant and was a de Young Artist Fellow. Walsh has participated in projects, exhibitions and performances at Apexart, di Rosa Center for Contemporary Art, FOR-SITE, Grand Central Art Center, Kala Art Institute, Marin Museum of Contemporary Art, NIAD, Oakland Museum of California, SFMOMA, Smack Mellon, Walker Art Center, Williams College Museum of Art, Yerba Buena Center for the Arts, and has done several international artist residencies, tours and projects in Europe and Asia.

Junior forward Ava Galligan scored 11 goals this season during LSU Soccer's historic Sweet 16 run. Galligan, the Ashburn, Va. native, joins the latest episode of The Real Deal to look back at the 2025 season, look ahead to the future, and give listeners more information about herself off the pitch. Watch the full show on LSU Plus.

Andy starts with CBB action from yesterday, including Georgetown upsetting Villanova. (18:56) Follow up on the Ravens backing out of the Maxx Crosby deal. (37:50) All the new Commanders signings introduced in Ashburn. To hear the whole show, tune in live from 9:00 AM - 11:00 AM Monday-Friday. For more sports coverage, download the ESPN630 AM app, visit https://www.sportscapitoldc.com. To join the conversation, check us out on twitter @ESPN630DC and @andypollin1See omnystudio.com/listener for privacy information.

Turbopuffer came out of a reading app.In 2022, Simon was helping his friends at Readwise scale their infra for a highly requested feature: article recommendations and semantic search. Readwise was paying ~$5k/month for their relational database and vector search would cost ~$20k/month making the feature too expensive to ship. In 2023 after mulling over the problem from Readwise, Simon decided he wanted to “build a search engine” which became Turbopuffer.We discuss:• Simon's path: Denmark → Shopify infra for nearly a decade → “angel engineering” across startups like Readwise, Replicate, and Causal → turbopuffer almost accidentally becoming a company • The Readwise origin story: building an early recommendation engine right after the ChatGPT moment, seeing it work, then realizing it would cost ~$30k/month for a company spending ~$5k/month total on infra and getting obsessed with fixing that cost structure • Why turbopuffer is “a search engine for unstructured data”: Simon's belief that models can learn to reason, but can't compress the world's knowledge into a few terabytes of weights, so they need to connect to systems that hold truth in full fidelity • The three ingredients for building a great database company: a new workload, a new storage architecture, and the ability to eventually support every query plan customers will want on their data • The architecture bet behind turbopuffer: going all in on object storage and NVMe, avoiding a traditional consensus layer, and building around the cloud primitives that only became possible in the last few years • Why Simon hated operating Elasticsearch at Shopify: years of painful on-call experience shaped his obsession with simplicity, performance, and eliminating state spread across multiple systems • The Cursor story: launching turbopuffer as a scrappy side project, getting an email from Cursor the next day, flying out after a 4am call, and helping cut Cursor's costs by 95% while fixing their per-user economics • The Notion story: buying dark fiber, tuning TCP windows, and eating cross-cloud costs because Simon refused to compromise on architecture just to close a deal faster • Why AI changes the build-vs-buy equation: it's less about whether a company can build search infra internally, and more about whether they have time especially if an external team can feel like an extension of their own • Why RAG isn't dead: coding companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up front; the new pattern is one agent firing many parallel queries at once, turning search into a highly concurrent tool call • Why turbopuffer is reducing query pricing: agentic systems are dramatically increasing query volume, and Simon expects retrieval infra to adapt to huge bursts of concurrent search rather than a small number of carefully chosen calls • The philosophy of “playing with open cards”: Simon's habit of being radically honest with investors, including telling Lachy Groom he'd return the money if turbopuffer didn't hit PMF by year-end • The “P99 engineer”: Simon's framework for building a talent-dense company, rejecting by default unless someone on the team feels strongly enough to fight for the candidate —Simon Hørup Eskildsen• LinkedIn: https://www.linkedin.com/in/sirupsen• X: https://x.com/Sirupsen• https://sirupsen.com/aboutturbopuffer• https://turbopuffer.com/Full Video PodTimestamps00:00:00 The PMF promise to Lachy Groom00:00:25 Intro and Simon's background00:02:19 What turbopuffer actually is00:06:26 Shopify, Elasticsearch, and the pain behind the company00:10:07 The Readwise experiment that sparked turbopuffer00:12:00 The insight Simon couldn't stop thinking about00:17:00 S3 consistency, NVMe, and the architecture bet00:20:12 The Notion story: latency, dark fiber, and conviction00:25:03 Build vs. buy in the age of AI00:26:00 The Cursor story: early launch to breakout customer00:29:00 Why code search still matters00:32:00 Search in the age of agents00:34:22 Pricing turbopuffer in the AI era00:38:17 Why Simon chose Lachy Groom00:41:28 Becoming a founder on purpose00:44:00 The “P99 engineer” philosophy00:49:30 Bending software to your will00:51:13 The future of turbopuffer00:57:05 Simon's tea obsession00:59:03 Tea kits, X Live, and P99 LiveTranscriptSimon Hørup Eskildsen: I don't think I've said this publicly before, but I just called Lockey and was like, local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you. But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working.So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people. We're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards. Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before.Alessio: Hey everyone, welcome to the Leading Space podcast. This is Celesio Pando, Colonel Laz, and I'm joined by Swix, editor of Leading Space.swyx: Hello. Hello, uh, we're still, uh, recording in the Ker studio for the first time. Very excited. And today we are joined by Simon Eski. Of Turbo Farer welcome.Simon Hørup Eskildsen: Thank you so much for having me.swyx: Turbo Farer has like really gone on a huge tear, and I, I do have to mention that like you're one of, you're not my newest member of the Danish AHU Mafia, where like there's a lot of legendary programmers that have come out of it, like, uh, beyond Trotro, Rasmus, lado Berg and the V eight team and, and Google Maps team.Uh, you're mostly a Canadian now, but isn't that interesting? There's so many, so much like strong Danish presence.Simon Hørup Eskildsen: Yeah, I was writing a post, um, not that long ago about sort of the influences. So I grew up in Denmark, right? I left, I left when, when I was 18 to go to Canada to, to work at Shopify. Um, and so I, like, I've, I would still say that I feel more Danish than, than Canadian.This is also the weird accent. I can't say th because it, this is like, I don't, you know, my wife is also Canadian, um, and I think. I think like one of the things in, in Denmark is just like, there's just such a ruthless pragmatism and there's also a big focus on just aesthetics. Like, they're like very, people really care about like where, what things look like.Um, and like Canada has a lot of attributes, US has, has a lot of attributes, but I think there's been lots of the great things to carry. I don't know what's in the water in Ahu though. Um, and I don't know that I could be considered part of the Mafi mafia quite yet, uh, compared to the phenomenal individuals we just mentioned.Barra OV is also, uh, Danish Canadian. Okay. Yeah. I don't know where he lives now, but, and he's the PHP.swyx: Yeah. And obviously Toby German, but moved to Canada as well. Yes. Like this is like import that, uh, that, that is an interesting, um, talent move.Alessio: I think. I would love to get from you. Definition of Turbo puffer, because I think you could be a Vector db, which is maybe a bad word now in some circles, you could be a search engine.It's like, let, let's just start there and then we'll maybe run through the history of how you got to this point.Simon Hørup Eskildsen: For sure. Yeah. So Turbo Puffer is at this point in time, a search engine, right? We do full text search and we do vector search, and that's really what we're specialized in. If you're trying to do much more than that, like then this might not be the right place yet, but Turbo Buffer is all about search.The other way that I think about it is that we can take all of the world's knowledge, all of the exabytes and exabytes of data that there is, and we can use those tokens to train a model, but we can't compress all of that into a few terabytes of weights, right? Compress into a few terabytes of weights, how to reason with the world, how to make sense of the knowledge.But we have to somehow connect it to something externally that actually holds that like in full fidelity and truth. Um, and that's the thing that we intend to become. Right? That's like a very holier than now kind of phrasing, right? But being the search engine for unstructured, unstructured data is the focus of turbo puffer at this point in time.Alessio: And let's break down. So people might say, well, didn't Elasticsearch already do this? And then some other people might say, is this search on my data, is this like closer to rag than to like a xr, like a public search thing? Like how, how do you segment like the different types of search?Simon Hørup Eskildsen: The way that I generally think about this is like, there's a lot of database companies and I think if you wanna build a really big database company, sort of, you need a couple of ingredients to be in the air.We don't, which only happens roughly every 15 years. You need a new workload. You basically need the ambition that every single company on earth is gonna have data in your database. Multiple times you look at a company like Oracle, right? You will, like, I don't think you can find a company on earth with a digital presence that it not, doesn't somehow have some data in an Oracle database.Right? And I think at this point, that's also true for Snowflake and Databricks, right? 15 years later it's, or even more than that, there's not a company on earth that doesn't, in. Or directly is consuming Snowflake or, or Databricks or any of the big analytics databases. Um, and I think we're in that kind of moment now, right?I don't think you're gonna find a company over the next few years that doesn't directly or indirectly, um, have all their data available for, for search and connect it to ai. So you need that new workload, like you need something to be happening where there's a new workload that causes that to happen, and that new workload is connecting very large amounts of data to ai.The second thing you need. The second condition to build a big database company is that you need some new underlying change in the storage architecture that is not possible from the databases that have come before you. If you look at Snowflake and Databricks, right, commoditized, like massive fleet of HDDs, like that was not possible in it.It just wasn't in the air in the nineties, right? So you just didn't, we just didn't build these systems. S3 and and and so on was not around. And I think the architecture that is now possible that wasn't possible 15 years ago is to go all in on NVME SSDs. It requires a particular type of architecture for the database that.It's difficult to retrofit onto the databases that are already there, including the ones you just mentioned. The second thing is to go all in on OIC storage, more so than we could have done 15 years ago. Like we don't have a consensus layer, we don't really have anything. In fact, you could turn off all the servers that Turbo Buffer has, and we would not lose any data because we have all completely all in on OIC storage.And this means that our architecture is just so simple. So that's the second condition, right? First being a new workload. That means that every company on earth, either indirectly or directly, is using your database. Second being, there's some new storage architecture. That means that the, the companies that have come before you can do what you're doing.I think the third thing you need to do to build a big database company is that over time you have to implement more or less every Cory plan on the data. What that means is that you. You can't just get stuck in, like, this is the one thing that a database does. It has to be ever evolving because when someone has data in the database, they over time expect to be able to ask it more or less every question.So you have to do that to get the storage architecture to the limit of what, what it's capable of. Those are the three conditions.swyx: I just wanted to get a little bit of like the motivation, right? Like, so you left Shopify, you're like principal, engineer, infra guy. Um, you also head of kernel labs, uh, inside of Shopify, right?And then you consulted for read wise and that it kind of gave you that, that idea. I just wanted you to tell that story. Um, maybe I, you've told it before, but, uh, just introduce the, the. People to like the, the new workload, the sort of aha moment for turbo PufferSimon Hørup Eskildsen: For sure. So yeah, I spent almost a decade at Shopify.I was on the infrastructure team, um, from the fairly, fairly early days around 2013. Um, at the time it felt like it was growing so quickly and everything, all the metrics were, you know, doubling year on year compared to the, what companies are contending with today. It's very cute in growth. I feel like lot some companies are seeing that month over month.Um, of course. Shopify compound has been compounding for a very long time now, but I spent a decade doing that and the majority of that was just make sure the site is up today and make sure it's up a year from now. And a lot of that was really just the, um, you know, uh, the Kardashians would drive very, very large amounts of, of data to, to uh, to Shopify as they were rotating through all the merch and building out their businesses.And we just needed to make sure we could handle that. Right. And sometimes these were events, a million requests per second. And so, you know, we, we had our own data centers back in the day and we were moving to the cloud and there was so much sharding work and all of that that we were doing. So I spent a decade just scaling databases ‘cause that's fundamentally what's the most difficult thing to scale about these sites.The database that was the most difficult for me to scale during that time, and that was the most aggravating to be on call for, was elastic search. It was very, very difficult to deal with. And I saw a lot of projects that were just being held back in their ambition by using it.swyx: And I mean, self-hosted.Self-hosted. ‘causeSimon Hørup Eskildsen: it's, yeah, and it commercial, this is like 2015, right? So it's like a very particular vintage. Right. It's probably better at a lot of these things now. Um, it was difficult to contend with and I'm just like, I just think about it. It's an inverted index. It should be good at these kinds of queries and do all of this.And it was, we, we often couldn't get it to do exactly what we needed to do or basically get lucine to do, like expose lucine raw to, to, to what we needed to do. Um, so that was like. Just something that we did on the side and just panic scaled when we needed to, but not a particular focus of mine. So I left, and when I left, I, um, wasn't sure exactly what I wanted to do.I mean, it spent like a decade inside of the same company. I'd like grown up there. I started working there when I was 18.swyx: You only do Rails?Simon Hørup Eskildsen: Yeah. I mean, yeah. Rails. And he's a Rails guy. Uh, love Rails. So good. Um,Alessio: we all wish we could still work in Rails.swyx: I know know. I know, but some, I tried learning Ruby.It's just too much, like too many options to do the same thing. It's, that's my, I I know there's a, there's a way to do it.Simon Hørup Eskildsen: I love it. I don't know that I would use it now, like given cloud code and, and, and cursor and everything, but, um, um, but still it, like if I'm just sitting down and writing a teal code, that's how I think.But anyway, I left and I wasn't, I talked to a couple companies and I was like, I don't. I need to see a little bit more of the world here to know what I'm gonna like focus on next. Um, and so what I decided is like I was gonna, I called it like angel engineering, where I just hopped around in my friend's companies in three months increments and just helped them out with something.Right. And, and just vested a bit of equity and solved some interesting infrastructure problem. So I worked with a bunch of companies at the time, um, read Wise was one of them. Replicate was one of them. Um, causal, I dunno if you've tried this, it's like a, it's a spreadsheet engine Yeah. Where you can do distribution.They sold recently. Yeah. Um, we've been, we used that in fp and a at, um, at Turbo Puffer. Um, so a bunch of companies like this and it was super fun. And so we're the Chachi bt moment happened, I was with. With read Wise for a stint, we were preparing for the reader launch, right? Which is where you, you cue articles and read them later.And I was just getting their Postgres up to snuff, like, which basically boils down to tuning, auto vacuum. So I was doing that and then this happened and we were like, oh, maybe we should build a little recommendation engine and some features to try to hook in the lms. They were not that good yet, but it was clear there was something there.And so I built a small recommendation engine just, okay, let's take the articles that you've recently read, right? Like embed all the articles and then do recommendations. It was good enough that when I ran it on one of the co-founders of Rey's, like I found out that I got articles about, about having a child.I'm like, oh my God, I didn't, I, I didn't know that, that they were having a child. I wasn't sure what to do with that information, but the recommendation engine was good enough that it was suggesting articles, um, about that. And so there was, there was recommendations and uh, it actually worked really well.But this was a company that was spending maybe five grand a month in total on all their infrastructure and. When I did the napkin math on running the embeddings of all the articles, putting them into a vector index, putting it in prod, it's gonna be like 30 grand a month. That just wasn't tenable. Right?Like Read Wise is a proudly bootstrapped company and it's paying 30 grand for infrastructure for one feature versus five. It just wasn't tenable. So sort of in the bucket of this is useful, it's pretty good, but let us, let's return to it when the costs come down.swyx: Did you say it grows by feature? So for five to 30 is by the number of, like, what's the, what's the Scaling factor scale?It scales by the number of articles that you embed.Simon Hørup Eskildsen: It does, but what I meant by that is like five grand for like all of the other, like the Heroku, dinos, Postgres, like all the other, and this then storage is 30. Yeah. And then like 30 grand for one feature. Right. Which is like, what other articles are related to this one.Um, so it was just too much right to, to power everything. Their budget would've been maybe a few thousand dollars, which still would've been a lot. And so we put it in a bucket of, okay, we're gonna do that later. We'll wait, we will wait for the cost to come down. And that haunted me. I couldn't stop thinking about it.I was like, okay, there's clearly some latent demand here. If the cost had been a 10th, we would've shipped it and. This was really the only data point that I had. Right. I didn't, I, I didn't, I didn't go out and talk to anyone else. It was just so I started reading Right. I couldn't, I couldn't help myself.Like I didn't know what like a vector index is. I, I generally barely do about how to generate the vectors. There was a lot of hype about, this is a early 2023. There was a lot of hype about vector databases. There were raising a lot of money and it's like, I really didn't know anything about it. It's like, you know, trying these little models, fine tuning them.Like I was just trying to get sort of a lay of the land. So I just sat down. I have this. A GitHub repository called Napkin Math. And on napkin math, there's just, um, rows of like, oh, this is how much bandwidth. Like this is how many, you know, you can do 25 gigabytes per second on average to dram. You can do, you know, five gigabytes per second of rights to an SSD, blah blah.All of these numbers, right? And S3, how many you could do per, how much bandwidth can you drive per connection? I was just sitting down, I was like, why hasn't anyone build a database where you just put everything on O storage and then you puff it into NVME when you use the data and you puff it into dram if you're, if you're querying it alive, it's just like, this seems fairly obvious and you, the only real downside to that is that if you go all in on o storage, every right will take a couple hundred milliseconds of latency, but from there it's really all upside, right?You do the first go, it takes half a second. And it sort of occurred to me as like, well. The architecture is really good for that. It's really good for AB storage, it's really good for nvm ESSD. It's, well, you just couldn't have done that 10 years ago. Back to what we were talking about before. You really have to build a database where you have as few round trips as possible, right?This is how CPUs work today. It's how NVM E SSDs work. It's how as, um, as three works that you want to have a very large amount of outstanding requests, right? Like basically go to S3, do like that thousand requests to ask for data in one round trip. Wait for that. Get that, like, make a new decision. Do it again, and try to do that maybe a maximum of three times.But no databases were designed that way within NVME as is ds. You can drive like within, you know, within a very low multiple of DRAM bandwidth if you use it that way. And same with S3, right? You can fully max out the network card, which generally is not maxed out. You get very, like, very, very good bandwidth.And, but no one had built a database like that. So I was like, okay, well can't you just, you know, take all the vectors right? And plot them in the proverbial coordinate system. Get the clusters, put a file on S3 called clusters, do json, and then put another file for every cluster, you know, cluster one, do js O cluster two, do js ON you know that like it's two round trips, right?So you get the clusters, you find the closest clusters, and then you download the cluster files like the, the closest end. And you could do this in two round trips.swyx: You were nearest neighbors locally.Simon Hørup Eskildsen: Yes. Yes. And then, and you would build this, this file, right? It's just like ultra simplistic, but it's not a far shot from what the first version of Turbo Buffer was.Why hasn't anyone done thatAlessio: in that moment? From a workload perspective, you're thinking this is gonna be like a read heavy thing because they're doing recommend. Like is the fact that like writes are so expensive now? Oh, with ai you're actually not writing that much.Simon Hørup Eskildsen: At that point I hadn't really thought too much about, well no actually it was always clear to me that there was gonna be a lot of rights because at Shopify, the search clusters were doing, you know, I don't know, tens or hundreds of crew QPS, right?‘cause you just have to have a human sit and type in. But we did, you know, I don't know how many updates there were per second. I'm sure it was in the millions, right into the cluster. So I always knew there was like a 10 to 100 ratio on the read write. In the read wise use case. It's, um, even, even in the read wise use case, there'd probably be a lot fewer reads than writes, right?There's just a lot of churn on the amount of stuff that was going through versus the amount of queries. Um, I wasn't thinking too much about that. I was mostly just thinking about what's the fundamentally cheapest way to build a database in the cloud today using the primitives that you have available.And this is it, right? You just, now you have one machine and you know, let's say you have a terabyte of data in S3, you paid the $200 a month for that, and then maybe five to 10% of that data and needs to be an NV ME SSDs and less than that in dram. Well. You're paying very, very little to inflate the data.swyx: By the way, when you say no one else has done that, uh, would you consider Neon, uh, to be on a similar path in terms of being sort of S3 first and, uh, separating the compute and storage?Simon Hørup Eskildsen: Yeah, I think what I meant with that is, uh, just build a completely new database. I don't know if we were the first, like it was very much, it was, I mean, I, I hadn't, I just looked at the napkin math and was like, this seems really obvious.So I'm sure like a hundred people came up with it at the same time. Like the light bulb and every invention ever. Right. It was just in the air. I think Neon Neon was, was first to it. And they're trying, they're retrofitted onto Postgres, right? And then they built this whole architecture where you have, you have it in memory and then you sort of.You know, m map back to S3. And I think that was very novel at the time to do it for, for all LTP, but I hadn't seen a database that was truly all in, right. Not retrofitting it. The database felt built purely for this no consensus layer. Even using compare and swap on optic storage to do consensus. I hadn't seen anyone go that all in.And I, I mean, there, there, I'm sure there was someone that did that before us. I don't know. I was just looking at the napkin mathswyx: and, and when you say consensus layer, uh, are you strongly relying on S3 Strong consistency? You are. Okay.SoSimon Hørup Eskildsen: that is your consensus layer. It, it is the consistency layer. And I think also, like, this is something that most people don't realize, but S3 only became consistent in December of 2020.swyx: I remember this coming out during COVID and like people were like, oh, like, it was like, uh, it was just like a free upgrade.Simon Hørup Eskildsen: Yeah.swyx: They were just, they just announced it. We saw consistency guys and like, okay, cool.Simon Hørup Eskildsen: And I'm sure that they just, they probably had it in prod for a while and they're just like, it's done right.And people were like, okay, cool. But. That's a big moment, right? Like nv, ME SSDs, were also not in the cloud until around 2017, right? So you just sort of had like 2017 nv, ME SSDs, and people were like, okay, cool. There's like one skew that does this, whatever, right? Takes a few years. And then the second thing is like S3 becomes consistent in 2020.So now it means you don't have to have this like big foundation DB or like zookeeper or whatever sitting there contending with the keys, which is how. You know, that's what Snowflake and others have do so muchswyx: for goneSimon Hørup Eskildsen: Exactly. Just gone. Right? And so just push to the, you know, whatever, how many hundreds of people they have working on S3 solved and then compare and swap was not in S3 at this point in time,swyx: by the way.Uh, I don't know what that is, so maybe you wanna explain. Yes. Yeah.Simon Hørup Eskildsen: Yes. So, um, what Compare and swap is, is basically, you can imagine that if you have a database, it might be really nice to have a file called metadata json. And metadata JSON could say things like, Hey, these keys are here and this file means that, and there's lots of metadata that you have to operate in the database, right?But that's the simplest way to do it. So now you have might, you might have a lot of servers that wanna change the metadata. They might have written a file and want the metadata to contain that file. But you have a hundred nodes that are trying to contend with this metadata that JSON well, what compare and Swap allows you to do is basically just you download the file, you make the modifications, and then you write it only if it hasn't changed.While you did the modification and if not you retry. Right? Should just have this retry loops. Now you can imagine if you have a hundred nodes doing that, it's gonna be really slow, but it will converge over time. That primitive was not available in S3. It wasn't available in S3 until late 2024, but it was available in GCP.The real story of this is certainly not that I sat down and like bake brained it. I was like, okay, we're gonna start on GCS S3 is gonna get it later. Like it was really not that we started, we got really lucky, like we started on GCP and we started on GCP because tur um, Shopify ran on GCP. And so that was the platform I was most available with.Right. Um, and I knew the Canadian team there ‘cause I'd worked with them at Shopify and so it was natural for us to start there. And so when we started building the database, we're like, oh yeah, we have to build a, we really thought we had to build a consensus layer, like have a zookeeper or something to do this.But then we discovered the compare and swap. It's like, oh, we can kick the can. Like we'll just do metadata r json and just, it's fine. It's probably fine. Um, and we just kept kicking the can until we had very, very strong conviction in the idea. Um, and then we kind of just hinged the company on the fact that S3 probably was gonna get this, it started getting really painful in like mid 2024.‘cause we were closing deals with, um, um, notion actually that was running in AWS and we're like, trust us. You, you really want us to run this in GCP? And they're like, no, I don't know about that. Like, we're running everything in AWS and the latency across the cloud were so big and we had so much conviction that we bought like, you know, dark fiber between the AWS regions in, in Oregon, like in the InterExchange and GCP is like, we've never seen a startup like do like, what's going on here?And we're just like, no, we don't wanna do this. We were tuning like TCP windows, like everything to get the latency down ‘cause we had so high conviction in not doing like a, a metadata layer on S3. So those were the three conditions, right? Compare and swap. To do metadata, which wasn't in S3 until late 2024 S3 being consistent, which didn't happen until December, 2020.Uh, 2020. And then NVMe ssd, which didn't end in the cloud until 2017.swyx: I mean, in some ways, like a very big like cloud success story that like you were able to like, uh, put this all together, but also doing things like doing, uh, bind our favor. That that actually is something I've never heard.Simon Hørup Eskildsen: I mean, it's very common when you're a big company, right?You're like connecting your own like data center or whatever. But it's like, it was uniquely just a pain with notion because the, um, the org, like most of the, like if you're buying in Ashburn, Virginia, right? Like US East, the Google, like the GCP and, and AWS data centers are like within a millisecond on, on each other, on the public exchanges.But in Oregon uniquely, the GCP data center sits like a couple hundred kilometers, like east of Portland and the AWS region sits in Portland, but the network exchange they go through is through Seattle. So it's like a full, like 14 milliseconds or something like that. And so anyway, yeah. It's, it's, so we were like, okay, we can't, we have to go through an exchange in Portland.Yeah. Andswyx: you'd rather do this than like run your zookeeper and likeSimon Hørup Eskildsen: Yes. Way rather. It doesn't have state, I don't want state and two systems. Um, and I think all that is just informed by Justine, my co-founder and I had just been on call for so long. And the worst outages are the ones where you have state in multiple places that's not syncing up.So it really came from, from a a, like just a, a very pure source of pain, of just imagining what we would be Okay. Being woken up at 3:00 AM about and having something in zookeeper was not one of them.swyx: You, you're talking to like a notion or something. Do they care or do they just, theySimon Hørup Eskildsen: just, they care about latency.swyx: They latency cost. That's it.Simon Hørup Eskildsen: They just cared about latency. Right. And we just absorbed the cost. We're just like, we have high conviction in this. At some point we can move them to AWS. Right. And so we just, we, we'll buy the fiber, it doesn't matter. Right. Um, and it's like $5,000. Usually when you buy fiber, you buy like multiple lines.And we're like, we can only afford one, but we will just test it that when it goes over the public internet, it's like super smooth. And so we did a lot of, anyway, it's, yeah, it was, that's cool.Alessio: You can imagine talking to the GCP rep and it's like, no, we're gonna buy, because we know we're gonna turn, we're gonna turn from you guys and go to AWS in like six months.But in the meantime we'll do this. It'sSimon Hørup Eskildsen: a, I mean, like they, you know, this workload still runs on GCP for what it's worth. Right? ‘cause it's so, it was just, it was so reliable. So it was never about moving off GCP, it was just about honesty. It was just about giving notion the latency that they deserved.Right. Um, and we didn't want ‘em to have to care about any of this. We also, they were like, oh, egress is gonna be bad. It was like, okay, screw it. Like we're just gonna like vvc, VPC peer with you and AWS we'll eat the cost. Yeah. Whatever needs to be done.Alessio: And what were the actual workloads? Because I think when you think about ai, it's like 14 milliseconds.It's like really doesn't really matter in the scheme of like a model generation.Simon Hørup Eskildsen: Yeah. We were told the latency, right. That we had to beat. Oh, right. So, so we're just looking at the traces. Right. And then sort of like hand draw, like, you know, kind of like looking at the trace and then thinking what are the other extensions of the trace?Right. And there's a lot more to it because it's also when you have, if you have 14 versus seven milliseconds, right. You can fit in another round trip. So we had to tune TCP to try to send as much data in every round trip, prewarm all the connections. And there was, there's a lot of things that compound from having these kinds of round trips, but in the grand scheme it was just like, well, we have to beat the latency of whatever we're up against.swyx: Which is like they, I mean, notion is a database company. They could have done this themselves. They, they do lots of database engineering themselves. How do you even get in the door? Like Yeah, just like talk through that kind of.Simon Hørup Eskildsen: Last time I was in San Francisco, I was talking to one of the engineers actually, who, who was one of our champions, um, at, AT Notion.And they were, they were just trying to make sure that the, you know, per user cost matched the economics that they needed. You know, Uhhuh like, it's like the way I think about, it's like I have to earn a return on whatever the clouds charge me and then my customers have to earn a return on that. And it's like very simple, right?And so there has to be gross margin all the way up and that's how you build the product. And so then our customers have to make the right set of trade off the turbo Puffer makes, and if they're happy with that, that's great.swyx: Do you feel like you're competing with build internally versus buy or buy versus buy?Simon Hørup Eskildsen: Yeah, so, sorry, this was all to build up to your question. So one of the notion engineers told me that they'd sat and probably on a napkin, like drawn out like, why hasn't anyone built this? And then they saw terrible. It was like, well, it literally that. So, and I think AI has also changed the buy versus build equation in terms of, it's not really about can we build it, it's about do we have time to build it?I think they like, I think they felt like, okay, if this is a team that can do that and they, they feel enough like an extension of our team, well then we can go a lot faster, which would be very, very good for them. And I mean, they put us through the, through the test, right? Like we had some very, very long nights to to, to do that POC.And they were really our biggest, our second big customer off the cursor, which also was a lot of late nights. Right.swyx: Yeah. That, I mean, should we go into that story? The, the, the sort of Chris's story, like a lot, um, they credit you a lot for. Working very closely with them. So I just wanna hear, I've heard this, uh, story from Sole's point of view, but like, I'm curious what, what it looks like from your side.Simon Hørup Eskildsen: I actually haven't heard it from Sole's point of view, so maybe you can now cross reference it. The way that I remember it was that, um, the day after we launched, which was just, you know, I'd worked the whole summer on, on the first version. Justine wasn't part of it yet. ‘cause I just, I didn't tell anyone that summer that I was working on this.I was just locked in on building it because it's very easy otherwise to confuse talking about something to actually doing it. And so I was just like, I'm not gonna do that. I'm just gonna do the thing. I launched it and at this point turbo puffer is like a rust binary running on a single eight core machine in a T Marks instance.And me deploying it was like looking at the request log and then like command seeing it or like control seeing it to just like, okay, there's no request. Let's upgrade the binary. Like it was like literally the, the, the, the scrappiest thing. You could imagine it was on purpose because just like at Shopify, we did that all the time.Like, we like move, like we ran things in tux all the time to begin with. Before something had like, at least the inkling of PMF, it was like, okay, is anyone gonna hear about this? Um, and one of the cursor co-founders Arvid reached out and he just, you know, the, the cursor team are like all I-O-I-I-M-O like, um, contenders, right?So they just speak in bullet points and, and facts. It was like this amazing email exchange just of, this is how many QPS we have, this is what we're paying, this is where we're going, blah, blah, blah. And so we're just conversing in bullet points. And I tried to get a call with them a few times, but they were, so, they were like really writing the PMF bowl here, just like late 2023.And one time Swally emails me at like five. What was it like 4:00 AM Pacific time saying like, Hey, are you open for a call now? And I'm on the East coast and I, it was like 7:00 AM I was like, yeah, great, sure, whatever. Um, and we just started talking and something. Then I didn't know anything about sales.It was something that just comp compelled me. I have to go see this team. Like, there's something here. So I, I went to San Francisco and I went to their office and the way that I remember it is that Postgres was down when I showed up at the office. Did SW tell you this? No. Okay. So Postgres was down and so it's like they were distracting with that.And I was trying my best to see if I could, if I could help in any way. Like I knew a little bit about databases back to tuning, auto vacuum. It was like, I think you have to tune out a vacuum. Um, and so we, we talked about that and then, um, that evening just talked about like what would it look like, what would it look like to work with us?And I just said. Look like we're all in, like we will just do what we'll do whatever, whatever you tell us, right? They migrated everything over the next like week or two, and we reduced their cost by 95%, which I think like kind of fixed their per user economics. Um, and it solved a lot of other things. And we were just, Justine, this is also when I asked Justine to come on as my co-founder, she was the best engineer, um, that I ever worked with at Shopify.She lived two blocks away and we were just, okay, we're just gonna get this done. Um, and we did, and so we helped them migrate and we just worked like hell over the next like month or two to make sure that we were never an issue. And that was, that was the cursor story. Yeah.swyx: And, and is code a different workload than normal text?I, I don't know. Is is it just text? Is it the same thing?Simon Hørup Eskildsen: Yeah, so cursor's workload is basically, they, um, they will embed the entire code base, right? So they, they will like chunk it up in whatever they would, they do. They have their own embedding model, um, which they've been public about. Um, and they find that on, on, on their evals.It. There's one of their evals where it's like a 25% improvement on a very particular workload. They have a bunch of blog posts about it. Um, I think it works best on larger code basis, but they've trained their own embedding model to do this. Um, and so you'll see it if you use the cursor agent, it will do searches.And they've also been public around, um, how they've, I think they post trained their model to be very good at semantic search as well. Um, and that's, that's how they use it. And so it's very good at, like, can you find me on the code that's similar to this, or code that does this? And just in, in this queries, they also use GR to supplement it.swyx: Yeah.Simon Hørup Eskildsen: Um, of courseswyx: it's been a big topic of discussion like, is rag dead because gr you know,Simon Hørup Eskildsen: and I mean like, I just, we, we see lots of demand from the coding company to ethicsswyx: search in every part. Yes.Simon Hørup Eskildsen: Uh, we, we, we see demand. And so, I mean, I'm. I like case studies. I don't like, like just doing like thought pieces on this is where it's going.And like trying to be all macroeconomic about ai, that's has turned out to be a giant waste of time because no one can really predict any of this. So I just collect case studies and I mean, cursor has done a great job talking about what they're doing and I hope some of the other coding labs that use Turbo Puffer will do the same.Um, but it does seem to make a difference for particular queries. Um, I mean we can also do text, we can also do RegX, but I should also say that cursors like security posture into Tur Puffer is exceptional, right? They have their own embedding model, which makes it very difficult to reverse engineer. They obfuscate the file paths.They like you. It's very difficult to learn anything about a code base by looking at it. And the other thing they do too is that for their customers, they encrypt it with their encryption keys in turbo puffer's bucket. Um, so it's, it's, it's really, really well designed.swyx: And so this is like extra stuff they did to work with you because you are not part of Cursor.Exactly like, and this is just best practice when working in any database, not just you guys. Okay. Yeah, that makes sense. Yeah. I think for me, like the, the, the learning is kind of like you, like all workloads are hybrid. Like, you know, uh, like you, you want the semantic, you want the text, you want the RegX, you want sql.I dunno. Um, but like, it's silly to like be all in on like one particularly query pattern.Simon Hørup Eskildsen: I think, like I really like the way that, um, um, that swally at cursor talks about it, which is, um, I'm gonna butcher it here. Um, and you know, I'm a, I'm a database scalability person. I'm not a, I, I dunno anything about training models other than, um, what the internet tells me and what.The way he describes is that this is just like cash compute, right? It's like you have a point in time where you're looking at some particular context and focused on some chunk and you say, this is the layer of the neural net at this point in time. That seems fundamentally really useful to do cash compute like that.And, um, how the value of that will change over time. I'm, I'm not sure, but there seems to be a lot of value in that.Alessio: Maybe talk a bit about the evolution of the workload, because even like search, like maybe two years ago it was like one search at the start of like an LLM query to build the context. Now you have a gentech search, however you wanna call it, where like the model is both writing and changing the code and it's searching it again later.Yeah. What are maybe some of the new types of workloads or like changes you've had to make to your architecture for it?Simon Hørup Eskildsen: I think you're right. When I think of rag, I think of, Hey, there's an 8,000 token, uh, context window and you better make it count. Um, and search was a way to do that now. Everything is moving towards the, just let the agent do its thing.Right? And so back to the thing before, right? The LLM is very good at reasoning with the data, and so we're just the tool call, right? And that's increasingly what we see our customers doing. Um, what we're seeing more demand from, from our customers now is to do a lot of concurrency, right? Like Notion does a ridiculous amount of queries in every round trip just because they can't.And I'm also now, when I use the cursor agent, I also see them doing more concurrency than I've ever seen before. So a bit similar to how we designed a database to drive as much concurrency in every round trip as possible. That's also what the agents are doing. So that's new. It means just an enormous amount of queries all at once to the dataset while it's warm in as few turns as possible.swyx: Can I clarify one thing on that?Simon Hørup Eskildsen: Yes.swyx: Is it, are they batching multiple users or one user is driving multiple,Simon Hørup Eskildsen: one user driving multiple, one agent driving.swyx: It's parallel searching a bunch of things.Simon Hørup Eskildsen: Exactly.swyx: Yeah. Yeah, exactly. So yeah, the clinician also did, did this for the fast context thing, like eight parallel at once.Simon Hørup Eskildsen: Yes.swyx: And, and like an interesting problem is, well, how do you make sure you have enough diversity so you're not making the the same request eight times?Simon Hørup Eskildsen: And I think like that's probably also where the hybrid comes in, where. That's another way to diversify. It's a completely different way to, to do the search.That's a big change, right? So before it was really just like one call and then, you know, the LLM took however many seconds to return, but now we just see an enormous amount of queries. So the, um, we just see more queries. So we've like tried to reduce query, we've reduced query pricing. Um, this is probably the first time actually I'm saying that, but the query pricing is being reduced, like five x.Um, and we'll probably try to reduce it even more to accommodate some of these workloads of just doing very large amounts of queries. Um, that's one thing that's changed. I think the right, the right ratio is still very high, right? Like there's still a, an enormous amount of rights per read, but we're starting probably to see that change if people really lean into this pattern.Alessio: Can we talk a little bit about the pricing? I'm curious, uh, because traditionally a database would charge on storage, but now you have the token generation that is so expensive, where like the actual. Value of like a good search query is like much higher because they're like saving inference time down the line.How do you structure that as like, what are people receptive to on the other side too?Simon Hørup Eskildsen: Yeah. I, the, the turbo puffer pricing in the beginning was just very simple. The pricing on these on for search engines before Turbo Puffer was very server full, right? It was like, here's the vm, here's the per hour cost, right?Great. And I just sat down with like a piece of paper and said like, if Turbo Puffer was like really good, this is probably what it would cost with a little bit of margin. And that was the first pricing of Turbo Puffer. And I just like sat down and I was like, okay, like this is like probably the storage amp, but whenever on a piece of paper I, it was vibe pricing.It was very vibe price, and I got it wrong. Oh. Um, well I didn't get it wrong, but like Turbo Puffer wasn't at the first principle pricing, right? So when Cursor came on Turbo Puffer, it was like. Like, I didn't know any VCs. I didn't know, like I was just like, I don't know, I didn't know anything about raising money or anything like that.I just saw that my GCP bill was, was high, was a lot higher than the cursor bill. So Justine and I was just like, well, we have to optimize it. Um, and I mean, to the chagrin now of, of it, of, of the VCs, it now means that we're profitable because we've had so much pricing pressure in the beginning. Because it was running on my credit card and Justine and I had spent like, like tens of thousands of dollars on like compute bills and like spinning off the company and like very like, like bad Canadian lawyers and like things like to like get all of this done because we just like, we didn't know.Right. If you're like steeped in San Francisco, you're just like, you just know. Okay. Like you go out, raise a pre-seed round. I, I never heard a word pre-seed at this point in time.swyx: When you had Cursor, you had Notion you, you had no funding.Simon Hørup Eskildsen: Um, with Cursor we had no funding. Yeah. Um, by the time we had Notion Locke was, Locke was here.Yeah. So it was really just, we vibe priced it 100% from first Principles, but it wasn't, it, it was not performing at first principles, so we just did everything we could to optimize it in the beginning for that, so that at least we could have like a 5% margin or something. So I wasn't freaking out because Cursor's bill was also going like this as they were growing.And so my liability and my credit limit was like actively like calling my bank. It was like, I need a bigger credit. Like it was, yeah. Anyway, that was the beginning. Yeah. But the pricing was, yeah, like storage rights and query. Right. And the, the pricing we have today is basically just that pricing with duct tape and spit to try to approach like, you know, like a, as a margin on the physical underlying hardware.And we're doing this year, you're gonna see more and more pricing changes from us. Yeah.swyx: And like is how much does stuff like VVC peering matter because you're working in AWS land where egress is charged and all that, you know.Simon Hørup Eskildsen: We probably don't like, we have like an enterprise plan that just has like a base fee because we haven't had time to figure out SKU pricing for all of this.Um, but I mean, yeah, you can run turbo puffer either in SaaS, right? That's what Cursor does. You can run it in a single tenant cluster. So it's just you. That's what Notion does. And then you can run it in, in, in BYOC where everything is inside the customer's VPC, that's what an for example, philanthropic does.swyx: What I'm hearing is that this is probably the best CRO job for somebody who can come in and,Simon Hørup Eskildsen: I mean,swyx: help you with this.Simon Hørup Eskildsen: Um, like Turbo Puffer hired, like, I don't know what, what number this was, but we had a full-time CFO as like the 12th hire or something at Turbo Puffer, um, I think I hear are a lot of comp.I don't know how they do it. Like they have a hundred employees and not a CFO. It's like having a CFO is like a runningswyx: business man. Like, you know,Simon Hørup Eskildsen: it's so good. Yeah, like money Mike, like he just, you know, just handles the money and a lot of the business stuff and so he came in and just hopped with a lot of the operational side of the business.So like C-O-O-C-F-O, like somewhere in between.swyx: Just as quick mention of Lucky, just ‘cause I'm curious, I've met Lock and like, he's obviously a very good investor and now on physical intelligence, um, I call it generalist super angel, right? He invests in everything. Um, and I always wonder like, you know, is there something appealing about focusing on developer tooling, focusing on databases, going like, I've invested for 10 years in databases versus being like a lock where he can maybe like connect you to all the customers that you need.Simon Hørup Eskildsen: This is an excellent question. No, no one's asked me this. Um, why lockey? Because. There was a couple of people that we were talking to at the time and when we were raising, we were almost a little, we were like a bit distressed because one of our, one of our peers had just launched something that was very similar to Turbo Puffer.And someone just gave me the advice at the time of just choose the person where you just feel like you can just pick up the phone and not prepare anything. And just be completely honest, and I don't think I've said this publicly before, but I just called Lockey and was like local Lockie. Like if this doesn't have PMF by the end of the year, like we'll just like return all the money to you.But it's just like, I don't really, we, Justine and I don't wanna work on this unless it's really working. So we want to give it the best shot this year and like we're really gonna go for it. We're gonna hire a bunch of people and we're just gonna be honest with everyone. Like when I don't know how to play a game, I just play with open cards and.Lockey was the only person that didn't, that didn't freak out. He was like, I've never heard anyone say that before. As I said, I didn't even know what a seed or pre-seed round was like before, probably even at this time. So I was just like very honest with him. And I asked him like, Lockie, have you ever have, have you ever invested in database company?He was just like, no. And at the time I was like, am I dumb? Like, but I think there was something that just like really drew me to Lockie. He is so authentic, so honest, like, and there was something just like, I just felt like I could just play like, just say everything openly. And that was, that was, I think that that was like a perfect match at the time, and, and, and honestly still is.He was just like, okay, that's great. This is like the most honest, ridiculous thing I've ever heard anyone say to me. But like that, like that, whyswyx: is this ridiculous? Say competitor launch, this may not work out. It wasSimon Hørup Eskildsen: more just like. If this doesn't work out, I'm gonna close up shop by the end of the mo the year, right?Like it was, I don't know, maybe it's common. I, I don't know. He told me it was uncommon. I don't know. Um, that's why we chose him and he'd been phenomenal. The other people were talking at the, at the time were database experts. Like they, you know, knew a lot about databases and Locke didn't, this turned out to be a phenomenal asset.Right. I like Justine and I know a lot about databases. The people that we hire know a lot about databases. What we needed was just someone who didn't know a lot about databases, didn't pretend to know a lot about databases, and just wanted to help us with candidates and customers. And he did. Yeah. And I have a list, right, of the investors that I have a relationship with, and Lockey has just performed excellent in the number of sub bullets of what we can attribute back to him.Just absolutely incredible. And when people talk about like no ego and just the best thing for the founder, I like, I don't think that anyone, like even my lawyer is like, yeah, Lockey is like the most friendly person you will find.swyx: Okay. This is my most glow recommendation I've ever heard.Alessio: He deserves it.He's very special.swyx: Yeah. Yeah. Yeah. Okay. Amazing.Alessio: Since you mentioned candidates, maybe we can talk about team building, you know, like, especially in sf, it feels like it's just easier to start a company than to join a company. Uh, I'm curious your experience, especially not being n SF full-time and doing something that is maybe, you know, a very low level of detail and technical detail.Simon Hørup Eskildsen: Yeah. So joining versus starting, I never thought that I would be a founder. I would start with it, like Turbo Puffer started as a blog post, and then it became a project and then sort of almost accidentally became a company. And now it feels like it's, it's like becoming a bigger company. That was never the intention.The intentions were very pure. It's just like, why hasn't anyone done this? And it's like, I wanna be the, like, I wanna be the first person to do it. I think some founders have this, like, I could never work for anyone else. I, I really don't feel that way. Like, it's just like, I wanna see this happen. And I wanna see it happen with some people that I really enjoy working with and I wanna have fun doing it and this, this, this has all felt very natural on that, on that sense.So it was never a like join versus versus versus found. It was just dis found me at the right moment.Alessio: Well I think there's an argument for, you should have joined Cursor, right? So I'm curious like how you evaluate it. Okay, I should actually go raise money and make this a company versus like, this is like a company that is like growing like crazy.It's like an interesting technical problem. I should just build it within Cursor and then they don't have to encrypt all this stuff. They don't have to obfuscate things. Like was that on your mind at all orSimon Hørup Eskildsen: before taking the, the small check from Lockie, I did have like a hard like look at myself in the mirror of like, okay, do I really want to do this?And because if I take the money, I really have to do it right. And so the way I almost think about it's like you kind of need to ha like you kind of need to be like fucked up enough to want to go all the way. And that was the conversation where I was like, okay, this is gonna be part of my life's journey to build this company and do it in the best way that I possibly can't.Because if I ask people to join me, ask people to get on the cap table, then I have an ultimate responsibility to give it everything. And I don't, I think some people, it doesn't occur to me that everyone takes it that seriously. And maybe I take it too seriously, I don't know. But that was like a very intentional moment.And so then it was very clear like, okay, I'm gonna do this and I'm gonna give it everything.Alessio: A lot of people don't take it this seriously. But,swyx: uh, let's talk about, you have this concept of the P 99 engineer. Uh, people are 10 x saying, everyone's saying, you know, uh, maybe engineers are out of a job. I don't know.But you definitely see a P 99 engineer, and I just want you to talk about it.Simon Hørup Eskildsen: Yeah, so the P 99 engineer was just a term that we started using internally to talk about candidates and talk about how we wanted to build the company. And you know, like everyone else is, like we want a talent dense company.And I think that's almost become trite at this point. What I credit the cursor founders a lot with is that they just arrived there from first principles of like, we just need a talent dense, um, talent dense team. And I think I've seen some teams that weren't talent dense and like seemed a counterfactual run, which if you've run in been in a large company, you will just see that like it's just logically will happen at a large company.Um, and so that was super important to me and Justine and it's very difficult to maintain. And so we just needed, we needed wording for it. And so I have a document called Traits of the P 99 Engineer, and it's a bullet point list. And I look at that list after every single interview that I do, and in every single recap that we do and every recap we end with.End with, um, some version of I'm gonna reject this candidate completely regardless of what the discourse was, because I wanna see people fight for this person because the default should not be, we're gonna hire this person. The default should be, we're definitely not hiring this person. And you know, if everyone was like, ah, maybe throw a punch, then this is not the right.swyx: Do, do you operate, like if there's one cha there must have at least one champion who's like, yes, I will put my career on, on, on the line for this. You know,Simon Hørup Eskildsen: I think career on the line,swyx: maybe a chair, butSimon Hørup Eskildsen: yeah. You know, like, um, I would say so someone needs to like, have both fists up and be like, I'd fight.Right? Yeah. Yeah. And if one person said, then, okay, let's do it. Right?swyx: Yeah.Simon Hørup Eskildsen: Um. It doesn't have to be absolutely everyone. Right? And like the interviews are always the sign that you're checking for different attributes. And if someone is like knocking it outta the park in every single attribute, that's, that's fairly rare.Um, but that's really important. And so the traits of the P 99 engineer, there's lots of them. There's also the traits of the p like triple nine engineer and the quadruple nine engineer. This is like, it's a long list.swyx: Okay.Simon Hørup Eskildsen: Um, I'll give you some samples, right. Of what we, what we look for. I think that the P 99 engineer has some history of having bent, like their trajectory or something to their will.Right? Some moment where it was just, they just, you know, made the computer do what it needed to do. There's something like that, and it will, it will occur to have them at some point in their career. And, uh. Hopefully multiple times. Right.swyx: Gimme an example of one of your engineers that like,Simon Hørup Eskildsen: I'll give an eng.Uh, so we, we, we launched this thing called A and NV three. Um, we could, we're also, we're working on V four and V five right now, but a and NV three can search a hundred billion vectors with a P 50 of around 40 milliseconds and a p 99 of 200 milliseconds. Um, maybe other people have done this, I'm sure Google and others have done this, but, uh, we haven't seen anyone, um, at least not in like a public consumable SaaS that can do this.And that was an engineer, the chief architect of Turbo Puffer, Nathan, um, who more or less just bent this, the software was not capable of this and he just made it capable for a very particular workload in like a, you know, six to eight week period with the help of a lot of the team. Right. It's been, been, there's numerous of examples of that, like at, at turbo puff, but that's like really bending the software and X 86 to your will.It was incredible to watch. Um. You wanna see some moments like that?swyx: Isn't that triple nine?Simon Hørup Eskildsen: Um, I think Nathan, what's calledAlessio: group nine, that was only nine. I feel like this is too high forSimon Hørup Eskildsen: Nathan. Nathan is, uh, Nathan is like, yeah, there's a lot of nines. Okay. After that p So I think that's one trait. I think another trait is that, uh, the P 99 spends a lot of time looking at maps.Generally it's their preferred ux. They just love looking at maps. You ever seen someone who just like, sits on their phone and just like, scrolls around on a map? Or did you not look at maps A lot? You guys don't look atswyx: maps? I guess I'm not feeling there. I don't know, butSimon Hørup Eskildsen: you just dis What about trains?Do you like trains?swyx: Uh, I mean they, not enough. Okay. This is just like weapon nice. Autism is what I call it. Like, like,Simon Hørup Eskildsen: um, I love looking at maps, like, it's like my preferred UX and just like I, you know, I likeswyx: lotsAlessio: of, of like random places, soswyx: like,youswyx: know.Alessio: Yes. Okay. There you go. So instead of like random places, like how do you explore the maps?Simon Hørup Eskildsen: No, it's, it's just a joke.swyx: It's autism laugh. It's like you are just obsessed by something and you like studying a thing.Simon Hørup Eskildsen: The origin of this was that at some point I read an interview with some IOI gold medalistswyx: Uhhuh,Simon Hørup Eskildsen: and it's like, what do you do in your spare time? I was just like, I like looking at maps.I was like, I feel so seen. Like, I just like love, like swirling out. I was like, oh, Canada is so big. Where's Baffin Island? I don't know. I love it. Yeah. Um, anyway, so the traits of P 99, P 99 is obsessive, right? Like, there's just like, you'll, you'll find traits of that we do an interview at, at, at, at turbo puffer or like multiple interviews that just try to screen for some of these things.Um, so. There's lots of others, but these are the kinds of traits that we look for.swyx: I'll tell you, uh, some people listen for like some of my dere stuff. Uh, I do think about derel as maps. Um, you draw a map for people, uh, maps show you the, uh, what is commonly agreed to be the geographical features of what a boundary is.And it shows also shows you what is not doing. And I, I think a lot of like developer tools, companies try to tell you they can do everything, but like, let's, let's be real. Like you, your, your three landmarks are here, everyone comes here, then here, then here, and you draw a map and, and then you draw a journey through the map.And like that. To me, that's what developer relations looks like. So I do think about things that way.Simon Hørup Eskildsen: I think the P 99 thinks in offs, right? The P 99 is very clear about, you know, hey, turbo puffer, you can't run a high transaction workload on turbo puffer, right? It's like the right latency is a hundred milliseconds.That's a clear trade off. I think the P 99 is very good at articulating the trade offs in every decision. Um. Which is exactly what the map is in your case, right?swyx: Uh, yeah, yeah. My, my, my world. My world.Alessio: How, how do you reconcile some of these things when you're saying you bend the will the computer versus like the trade

03/06 Hour 1: Capitals Trade John Carlson To Anaheim - 1:00 Top Storylines Around The Sports World - 14:00 Scary Robbery Goes Down In Ashburn - 32:00

Sat, Feb 21 10:25 PM → 10:51 PM Guy with knife detained at Ashburn Metro Radio Systems: - Loudoun County

JP Finlay and Mitch Tischler join you from Ashburn following the introductory press conferences for new coordinators David Blough and Daronte Jones. JP and Mitch begin the episode by sharing their biggest takeaways from the day. The guys dive in to how Blough and Jayden Daniels will work together, Jones' vision for the defense and so, so much more. The episode ends with the Dan Quinn, Blough and Jones' full press conferences, so make sure to stick around for that.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The guys are in Ashburn today as the new Commanders coaches take the podium for the first time.

Commanders head coach Dan Quinn speaks to the media from Ashburn.

Hour 4 of BMitch & Finlay features Commanders coaches speaking to the media from Ashburn.

Hour 3 of BMitch & Finlay features an interview with Nicki Jhabvala and some callers previewing the press conferences in Ashburn.

Brian From sits down with Tommy Thompson, pastor of Ashburn Baptist Church, to talk about calling, obedience, and the unexpected journey that brought a Florida pastor to Chicago. Tommy shares how Ashburn has become a hub for church revitalization, helping declining congregations rediscover mission and new life across the Chicagoland area. The conversation is both hopeful and urgent, offering encouragement to pastors and leaders who believe their church’s best days might still be ahead.See omnystudio.com/listener for privacy information.

Hello to: Paris, Frankfurt am Main, Tokyo, Sydney, Cambridge, Hitchin, Manchester ! Hello to: North Hollywood, Van Nuys, Ashburn, Chicago, Council Bluffs, Richardson, Pittsfield, North BergenDrop a line: theflypaperpodcast@gmail.com Hosted on Acast. See acast.com/privacy for more information.

Aux Etats-Unis, la facture d'électricité a bondi de 34% en cinq ans et les centres de données qui fleurissent dans le pays n'y sont pas pour rien. Dans «La Story», le podcast des «Echos», Pierrick Fay et Solveig Godeluck font le portrait d'Ashburn, capitale mondiale des data center.« La Story » est un podcast des « Echos » présenté par Pierrick Fay. Cet épisode a été enregistré en janvier 2026. Rédaction en chef : Clémence Lemaistre. Invitée : Solveig Godeluck (correspondante des « Echos » à New-York). Réalisation : Willy Ganne. Chargée de production et d'édition : Clara Grouzis. Musique : Théo Boulenger. Identité graphique : Upian. Photo : Ted Shaffrey/AP/SIPA. Sons : TF1, CNBC, extrait du film « Adieu l'ami » et du film « La vache et le prisonnier ».Retrouvez l'essentiel de l'actualité économique grâce à notre offre d'abonnement Access : abonnement.lesechos.fr/ Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

01/21 Hour 1: Jason Returns From His Time Off - 1:00 Should The Wizards Trade For Zion Williamson - 16:00 Disgusting Incident At The Giant In Ashburn - 30:00

The latest local news impacting D.C., Maryland and Northern Virginia. Top stories include a new contender for DC mayor, the start of the new year in Maryland's General Assembly, and a deadly crash in Ashburn. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The latest local news impacting D.C., Maryland and Northern Virginia. Today's stories include: A deadly crash in Ashburn and the latest on a high-profile murder trial in Fairfax County.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Kelsey chats with Cassandra and Chris from @thenextpursuit on Instagram about their summer road trip from Chattanooga, TN to Orlando, Florida to camp at Disney World's Fort Wilderness Resort with their 5-year-old son in July 2025. They share their favorite Fort Wilderness moments like the campfire sing-along with s'mores, Chip and Dale, and spending time with the Disney horses at the stables. Plus, they talk about scoring free Typhoon Lagoon tickets, squeezing in a stay at Universal's Terra Luna Resort, and experiencing Epic Universe. This episode is now available to watch on YouTube: https://www.youtube.com/@kelseygravesIf you'd like to share about your trip on the podcast, email me at: kelsey@triptalespodcast.comBuy Me A Coffee: https://buymeacoffee.com/kelseygravesFollow me on Instagram: https://www.instagram.com/kelsey_gravesFollow me on TikTok: https://www.tiktok.com/@mskelseygravesJoin us in the Trip Tales Podcast Community Facebook Group: https://www.facebook.com/groups/1323687329158879Mentioned in this episode:- Camping at Disney's Fort Wilderness Resort: Chip 'N Dale's Campfire Sing-A-Long, Tri-Circle-D Ranch horses, pony rides, Trails End restaurant- Free waterpark pass to Typhoon Lagoon- World's Largest Peanut Monument and Carol's Sausage in Ashburn, Georgia- Sailfish Splash Waterpark in Stuart, FL- Universal Orlando City Walk: Cowfish Restaurant- Terra Luna Resort- Epic Universe: Super Mario World, Bowsers Challenge, Monsters Unchained, Curse of the Werewolf, Dragon Racers Rally, Mead Hall, Stardust RacersTrip Tales is a travel podcast sharing real vacation stories and trip itineraries for family travel, couples getaways, cruises, and all-inclusive resorts. Popular episodes feature destinations like Marco Island Florida, Costa Rica with kids, Disney Cruise Line, Disney Aulani in Hawaii, Beaches Turks & Caicos, Park City ski trips, Aruba, Italy, Ireland, Portugal's Azores, New York City, Alaska cruises, and U.S. National Parks. Listeners get real travel tips, itinerary recommendations, hotel reviews, restaurant recommendations, and inspiration for planning their next vacation, especially when traveling with kids.

1.7.26 Hour 1 1:00- With Kingbsury out, there appears to be a mess in Ashburn after reports suggest some disagreements internally... 22:00- We take your calls on the reports saying the Commanders front office is "meddling"?

With Kingbsury out, there appears to be a mess in Ashburn after reports suggest some disagreements internally...

Andy starts with the Dan Quinn/Kliff Kingsbury press conference and their lack of answers on the future of Kliff Kingsbury. Plus, Matt Ryan wants to run the Falcons AND stay on CBS. (35:36) More from locker clean out day in Ashburn. (54:18) Trae Young to the Wizards? To hear the whole show, tune in live from 9:00 AM - 11:00 AM Monday-Friday. For more sports coverage, download the ESPN630 AM app, visit https://www.sportscapitoldc.com. To join the conversation, check us out on twitter @ESPN630DC and @andypollin1See omnystudio.com/listener for privacy information.

Ben Standig makes his final appearance of the regular season to give Denton the latest from Ashburn and preview the Commanders' finale against Philly.

Bob Cochran, from Ashburn, Virginia, USAHear more from Bob on this episode of Sentinel Watch.

From 12/11 Hour 4: The Sports Junkies react to a crazy Christmas light display in Ashburn.

From 12/10 Hour 3: The Sports Junkies react to a crazy Christmas display in Ashburn, Virginia.

Today's episode of BMitch & Finlay features the guys live from Commanders practice ahead of this weekend's game.