Podcasts about DB

Play Episode Listen Later Mar 18, 2026 15:38

And so ends Season 13! We'll be back soon with more, but for now, here's 13 lessons DB has learned from going 13 seasons strong! Have any topics you'd like us to cover on Season 14? We're planning right now -- so it's a great time to email and let us know at sexedwithdb@gmail.com! TAKE OUR SMUT QUIZFind your page-turning turn-on with our new SMUT QUIZ! In just 5 questions, you'll get right to the good stuff with curated pages, poems, and audios. No slow burn. No fluff. Just pleasure. Take the quiz here: https://sexedwithdb.fillout.com/smutquiz ABOUT SEASON 13 Season 13 of Sex Ed with DB is ALL ABOUT PLEASURE! Solo pleasure. Partnered pleasure. Orgasms. Porn. Queer joy. Kinks, sex toys, fantasies -- you name it. We're here to help you feel more informed, more empowered, and a whole lot more turned on to help YOU have the best sex. CONNECT WITH USInstagram: @sexedwithdbpodcast TikTok: @sexedwithdbThreads: @sexedwithdbpodcast X: @sexedwithdbYouTube: Sex Ed with DB SEX ED WITH DB SEASON 13 SPONSORS Uberlube, Magic Wand, LELO, and Happy V. Get discounts on all of DB's favorite things here! GET IN TOUCH Email: sexedwithdb@gmail.comSubscribe to our newsletter for hot goss, expert advice, and *the* most salacious stories! FOR SEXUAL HEALTH PROFESSIONALS Check out DB's workshop: "Building A Profitable Online Sexual Health Brand" ABOUT THE SHOW Sex Ed with DB is your go-to podcast for smart, science-backed sex education — delivering trusted insights from top experts on sex, sexuality, and pleasure. Empowering, inclusive, and grounded in real science, it's the sex ed you've always wanted. ASK AN ANONYMOUS SEX ED QUESTION Fill out our anonymous form to ask your sex ed question. SEASON 13 TEAM Creator, Host & Executive Producer: Danielle Bezalel (DB) (she/her) Producer and Growth Marketing Manager: Wil Williams (they/them) Social Media Content Creator: Iva Markicevic Daley (she/her) MUSIC Intro theme music: Hook Sounds Background music: Bright State by Ketsa Ad music: Soul Sync by Ketsa, Always Faithful by Ketsa, and Soul Epic by Ketsa. Thank you Ketsa!

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KBIS Series Part Four | Quiet Luxury and the Rise of the Technicurean: How SKS Is Designing the Invisible Kitchen

Convo By Design

Play Episode Listen Later Mar 16, 2026 57:17

Luxury appliances are no longer defined by visibility—they're defined by intentional invisibility, precision performance, and seamless integration. At KBIS 2026, SKS reveals how thoughtful innovation, AI integration, and designer collaboration are reshaping the kitchen into a quieter, smarter, more intuitive environment. This is the emergence of a new user: the Technicurean. John Russo explains how Signature Kitchen Suite is redefining luxury through purposeful technology, invisible induction, behavioral AI, and collaborative product development. The future kitchen doesn't demand attention—it anticipates needs, enhances experiences, and disappears into the architecture. At the Kitchen & Bath Industry Show, innovation isn't simply introduced—it's tested, challenged, and refined in real time. For Signature Kitchen Suite, KBIS functions as a live laboratory where designers, builders, and specifiers provide critical feedback that directly shapes future product development. John Russo shares how SKS approaches innovation deliberately, prioritizing purposeful performance over novelty. From invisible induction cooktops integrated beneath countertops to AI-powered refrigeration that anticipates user behavior, the goal is not to showcase technology—but to integrate it so seamlessly that it enhances daily life without disrupting it. This conversation explores the rise of the Technicurean—a new luxury consumer who values precision, connectivity, and design harmony equally. Through quiet luxury, behavioral intelligence, and deep collaboration with the design community, SKS is building an ecosystem where appliances become architectural infrastructure rather than standalone objects. KBIS as a Live Product Development Environment KBIS functions as a real-world testing ground for future innovation. Designers provide immediate feedback that shapes product refinement. Concept products are introduced early to validate design direction. Direct interaction between engineers and specifiers accelerates innovation. Quiet Luxury: The New Definition of Premium Quiet luxury shifts focus from visual dominance to experiential excellence. Core principles: Appliances integrate seamlessly into architecture. Minimal visual disruption supports design continuity. Performance becomes more important than appearance. Acoustic comfort is essential—refrigeration operating around 38–39 dB. Luxury is defined by how appliances make life easier, not how they look. Invisible Induction and Architectural Integration SKS is exploring cooktop technology that disappears completely into the countertop. Implications: Cooking surfaces no longer interrupt architectural surfaces. Light-guided induction zones provide precision without visual clutter. Appliances transition from objects into embedded infrastructure. Product development includes multi-year concept validation cycles. The Rise of the “Technicurean” Consumer The Technicurean represents a growing demographic combining technological fluency with culinary passion. Characteristics: Values precision cooking and performance. Expects seamless integration with digital ecosystems. Prioritizes experiential quality over feature quantity. Younger luxury consumers are accelerating this shift. Purposeful AI: Technology That Anticipates Behavior AI is being applied to solve practical problems rather than simply introduce novelty. Examples: AI-powered refrigeration anticipates usage patterns and adjusts cooling. Oven cameras identify food and automatically adjust cooking parameters. Remote monitoring allows users to supervise cooking from anywhere. Automation reduces cognitive load and improves consistency. Applicable Link: LG ThinQ Precision and Performance as the Foundation of Luxury SKS emphasizes engineering performance alongside design integration. Examples: Induction ranges with 7,000-watt burners capable of boiling water in under a minute. Column refrigeration producing clear craft ice. Precision temperature management improves food preservation. Technology enhances outcomes, not just convenience. Collaborative Design as a Product Development Strategy Designers directly influence final product form and function. Process includes: Design collective consultations. Specifier surveys and feedback loops. Prototype testing and iteration cycles. Cabinet alignment, integration, and architectural consistency driven by designer input. Full Home Automation and the Appliance Ecosystem Appliances are becoming integrated nodes within larger home ecosystems. Capabilities include: Voice-controlled appliances. Integrated lighting, HVAC, and appliance automation. Recipe-driven automated cooking processes. Unified control across multiple home systems. The Invisible Kitchen: How Quiet Luxury and Behavioral Technology Are Redefining Appliance Design For decades, luxury appliances were designed to be seen. Professional-grade stainless steel, oversized handles, and bold visual presence signaled performance and status. But today, the most important innovation in the luxury kitchen may be its disappearance. Signature Kitchen Suite is helping lead a shift toward what it calls quiet luxury—a design philosophy where performance is paramount, but visibility is optional. The goal is no longer to showcase the appliance itself, but to integrate it so seamlessly into the architectural environment that it becomes invisible. This shift reflects a deeper evolution in how luxury is defined. True luxury is no longer about visual dominance. It's about effortlessness. Concepts like invisible induction cooktops illustrate this transformation. By placing induction elements beneath the countertop surface, cooking becomes fully integrated into the architecture. When inactive, the kitchen appears uninterrupted. When active, subtle lighting indicates where heat is applied. The appliance becomes infrastructure. This philosophy extends beyond aesthetics into performance and intelligence. Artificial intelligence is now being used to anticipate user behavior and improve outcomes. Refrigeration systems can monitor usage patterns and adjust cooling cycles to maintain temperature stability. Oven cameras can identify food and automatically adjust cooking settings. These technologies operate quietly, improving consistency without requiring intervention. Importantly, this innovation is not happening in isolation. Events like KBIS provide critical real-world validation. Designers, builders, and specifiers offer immediate feedback, allowing manufacturers to refine products before full release. This collaborative approach ensures that innovation aligns with how kitchens are actually designed and used. It also reflects the emergence of a new consumer profile: the Technicurean. This user values precision, connectivity, and design equally. They are comfortable with technology but expect it to serve a clear purpose. They prioritize performance and integration over novelty. For them, the kitchen is not simply a functional workspace—it is part of a larger lifestyle ecosystem. This shift is also generational. Younger homeowners have grown up with connected technology and expect seamless integration across devices. Appliances must function as part of a unified system rather than standalone tools. The ultimate goal is not to add complexity, but to remove friction. Automation, behavioral learning, and architectural integration all contribute to this objective. Appliances anticipate needs, simplify processes, and reduce cognitive load. They enhance experience without demanding attention. In this future, the most advanced appliances will not announce themselves. They will disappear. And in doing so, they will redefine luxury—not as something you see, but as something you feel.

The Yellow Sign/The Return to Oz

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

Play Episode Listen Later Mar 13, 2026 46:41

"The Yellow Sign" is a famous short story by Robert W. Chambers, part of his influential collection The King in Yellow, which features a mysterious, madness-inducing play and a recurring, ominous yellow sign. Check out this link to buy DB's Books[link]

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The Yellow Sign/The Return to Oz

Play Episode Listen Later Mar 13, 2026 46:41

books yellow db return to oz robert w chambers yellow sign

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Hørup Eskildsen of Turbopuffer

Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Mar 12, 2026 60:32

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

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186 - MUP Dreadball: Spin-Offs and Painkillers

Mantic Universe Podcast

Play Episode Listen Later Mar 12, 2026 95:49

Matthias and Dom talk about the new team previews, the latest news and the spinoff games of DB 1st and 2nd EditionYT - https://youtu.be/JocP43vTBhkTeam Previews: https://www.manticgames.com/news/ryders-sabrecats-the-teams-of-dreadball-all-stars/https://www.manticgames.com/news/painkillers-slammers-the-teams-of-dreadball-all-stars/Painting Videos mentioned in the Episode:On Source Lightning (without painting details): https://youtu.be/K6jvwHEZUTU?list=PLVlft85P6gP5D0bN5hkemJT6ApfPMUkC02 colour shading: https://youtu.be/ih9nS1fmypQ?list=PLVlft85P6gP5D0bN5hkemJT6ApfPMUkC0Contact us⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email - kingsofwarwiki@gmail.com or manticuniversepodcast@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Patreon - https://www.patreon.com/manticuniversepodcast/Instagram - https://www.instagram.com/manticuniversepodcast/Facebook Group - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/groups/1427435774358022⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord server: https://discord.gg/EBhU6Pr5ZA

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Giants sign Greg Newsome, Patrick Ricard, and Micah Mcfadden | 955

Talkin’ Giants

Play Episode Listen Later Mar 11, 2026 59:56

Shaun and Justin are back recapping some more moves the Giants made during free agency including former Browns and Jaguars CB Greg Newsome, former Ravens FB Patrick Ricard and bringing back LB Micah McFadden. They'll break that down along with the expectation that the team may not make any other significant moves. 00:00 Giants Sign Greg Newsome, Patrick Ricard & Micah McFadden 02:50 Greg Newsome signed after Flott goes to Titans 7:45 Makes plays on the football but has bad penalties 13:10 Struggled in the slot 18:30 Is Newsome a long term solution at DB 22:40 Can Adebo's play compliment Newsome 24:50 Ricard becomes highest paid FB in NFL 27:50 Getting Ricard involved in the offense 33:50 The OFF formation with Ricard 37:30 Micah Mcfadden back on a prove it deal 38:45 FA LBs market was lower than expected 40:55 strengths and weaknesses 42:25 Giants Sign Kicker Jason Sanders 46:00 Are the Giants done in Free Agency 51:00 Giants need to take advantage of a qb on a rookie deal 54:50 Work to be done still before the draft 57:00 Steve Tisch looking to transfer Giants stake Check out our Merch: https://shop.jomboymedia.com/collections/talkin-giants Subscribe to JM Football for our NFL coverage: https://www.youtube.com/@JMFootball Follow all of our content on https://jomboymedia.com #giants #nygiants Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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What 1,500 Women Taught Us About Sensuality with Emily Bendell (Bluebella)

Play Episode Listen Later Mar 11, 2026 42:21

This week's episode is about an underrated -- and often misreprensented -- asset for pleasure: lingerie! Lingerie can make you feel powerful, beautiful, and sensual, even if you're not with a cishet male partner, or any partner at all! In this episode, DB speaks with Emily Bendell, founder of Bluebella, one of the greatest lingerie brands DB's found yet! GUEST DETAILSBluebella was born from a simple idea to create luxurious and sensual lingerie for self-assured women. Founded on the belief that strength and sensuality belong in the everyday, Bluebella understands that beautiful lingerie sets a powerful tone for whatever comes next. Bluebella is a multi-award winning brand that has paved the way for accessible luxury in the lingerie industry. Graduating from the University of Oxford, Bluebella's founder Emily Bendell had a stint in legal journalism before turning her love for lingerie into a business. Seeking to create a new language around contemporary lingerie, Emily launched Bluebella with a mission to re-write what it means to be sensual for the modern woman. "Our vision is to re-imagine sensual lingerie as something owned for ourselves. To us, lingerie is a personal self-expression of individual style and spirit. I wanted to create a brand and product that was considered, confident, and true to our experience of wearing lingerie." FROM THIS EPISODE Modern Sensuality Community Campaign: https://www.bluebella.us/pages/community-campaign-results DB's fav Bluebella lingerie (it's not what you think!): https://www.bluebella.us/products/noor-sheer-mesh-top-black + https://www.bluebella.us/products/latex-soft-bodysuit-black TAKE OUR SMUT QUIZFind your page-turning turn-on with our new SMUT QUIZ! In just 5 questions, you'll get right to the good stuff with curated pages, poems, and audios. No slow burn. No fluff. Just pleasure. Take the quiz here: https://sexedwithdb.fillout.com/smutquiz ABOUT SEASON 13 Season 13 of Sex Ed with DB is ALL ABOUT PLEASURE! Solo pleasure. Partnered pleasure. Orgasms. Porn. Queer joy. Kinks, sex toys, fantasies -- you name it. We're here to help you feel more informed, more empowered, and a whole lot more turned on to help YOU have the best sex. CONNECT WITH USInstagram: @sexedwithdbpodcast TikTok: @sexedwithdbThreads: @sexedwithdbpodcast X: @sexedwithdbYouTube: Sex Ed with DB SEX ED WITH DB SEASON 13 SPONSORS Uberlube, Magic Wand, LELO, and Happy V. Get discounts on all of DB's favorite things here! GET IN TOUCH Email: sexedwithdb@gmail.comSubscribe to our newsletter for hot goss, expert advice, and *the* most salacious stories! FOR SEXUAL HEALTH PROFESSIONALS Check out DB's workshop: "Building A Profitable Online Sexual Health Brand" ABOUT THE SHOW Sex Ed with DB is your go-to podcast for smart, science-backed sex education — delivering trusted insights from top experts on sex, sexuality, and pleasure. Empowering, inclusive, and grounded in real science, it's the sex ed you've always wanted. ASK AN ANONYMOUS SEX ED QUESTION Fill out our anonymous form to ask your sex ed question. SEASON 13 TEAM Creator, Host & Executive Producer: Danielle Bezalel (DB) (she/her) Producer and Growth Marketing Manager: Wil Williams (they/them) Social Media Content Creator: Iva Markicevic Daley (she/her) MUSIC Intro theme music: Hook Sounds Background music: Bright State by Ketsa Ad music: Soul Sync by Ketsa, Always Faithful by Ketsa, and Soul Epic by Ketsa. Thank you Ketsa!

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After london 17

Play Episode Listen Later Mar 11, 2026 2:33

After London; Or, Wild England: In Two Parts: Part 1 – The Relapse into Barbarism; Part II – Wild England is a novel by Richard Jefferies, published in 1885 by Cassell and Company. It is an early work of science fiction, set in near future England, near sunk London, a century after a mysterious disaster caused the fall of modern civilization and reverted English society to the medieval level. Check out this link to buy DB's Books[link]

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

After london 17

Play Episode Listen Later Mar 11, 2026 2:33

donald trump iran fake news timeline confused db c span iran war jeremiah johnston

CONFUSED? Here's Why the Iran War Timeline Is All Over the Place | Guest: Jeremiah Johnston | 3/10/26

Steve Deace Show

Play Episode Listen Later Mar 10, 2026 99:51

Steve and the crew react to President Trump's all-over-the-place messaging on the timeline for the war in Iran and why it's likely intentional. Then, author and apologist Jeremiah Johnston joins the program to talk about his new book, "The Jesus Discoveries." In Hour Two, the crew spends the whole hour on a round of Fake News or Not featuring Steve's recent appearance on C-SPAN. TODAY'S SPONSORS: BIRCH GOLD: Text STEVE to 989898 MY PATRIOT SUPPLY: https://www.mypatriotsupply.com/pages/special-offer?hid=22&utm_source=StvDeace&utm_id=Direct&utm_medium=DB.End-PPW&utm_content=podc&utm_term=0-0&utm_campaign=Mktg_DB.End-PPW_StvDeace_podc__0-0 RELIEF FACTOR: VISIT https://www.relieffactor.com/ OR CALL 800-4-RELIEF RAYCON: 20% off! https://rayconglobal.com/pages/steve?utm_source=podcast&utm_medium=influencer&utm_campaign=steve&nb_platform=partner-lp&nb_ppid=podcast&nb_cpid=steve GEVITI: https://www.gogeviti.com/deace THE LAST STAND: https://thelaststand.com/ PROMO CODE STEVE Learn more about your ad choices. Visit megaphone.fm/adchoices

From The Vault - Vicki Peterson & Sean Kelly Discuss "White Noise & Lightning: The Continental Drifters Story" From Ep 1428 (9/20/2024)

how did i get here?

Play Episode Listen Later Mar 10, 2026 55:03

Welcome to another episode of How Did I Get Here? From The Vault! Today, we go back to episode 1428 on September 20, 2024 with Vicki Peterson (Bangles, Continental Drifters) and Sean Kelly discussing Sean's book, White Noise & Lightning: The Continental Drifters Story about legendary band Continental Drifters. We talk about the Drifter's operatic story, where they are now, the band's connections to Austin, and much more. Below are my original notes from the show. Musician and author of White Noise & Lightning: The Continental Drifters Story, Sean Kelley and Continental Drifter and Guitar player of The Bangles, Vicki Peterson are my guests for episode 1428. White Noise & Lightning: The Continental Drifters Story follows ten disparate musicians from humble beginnings at a dive bar residency in Los Angeles through lineup changes, addiction, marriages, divorces, and industry letdowns. The Continental Drifters, composed of members of The Bangles, The Cowsills, The Dream Syndicate, The dB's, and more, found each because they'd been burned by the music industry and sought refuge in a freewheeling environment where they could experiment without constraint. When everything fell apart in New Orleans a decade later, they ended up with so much more. White Noise & Lightning: The Continental Drifters Story Drops next Friday, Sept. 27 along with We're All Drifters: A Tribute To The Continental Drifters, a 2 CD tribute album featuring Marshall Crenshaw, Kim Richey, Rosie Flores and more. Find the book HERE. We have a great conversation about the book, the journey of the Continental Drifters and more. I had a blast getting to know Vicki and Sean. I'm sure you will too. Let's get down! Follow us on Instagram, TikTok, X, Facebook, Spotify, Apple Podcasts, or anywhere you pod. Go to johnny-goudie.com for all things Johnny. If you feel so inclined. Venmo: venmo.com/John-Goudie-1 Paypal: paypal.me/johnnygoudie

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After London 16

Play Episode Listen Later Mar 10, 2026 34:10

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

After London 16

Play Episode Listen Later Mar 10, 2026 34:10

Gig Gab - The Working Musicians' Podcast

De-Feedback Plugin for Working Musicians: More Gain, Less Feedback with Devin Sheets

Play Episode Listen Later Mar 9, 2026 80:15 Transcription Available

You're invited into a legacy family audio business that refused to accept “good enough” on feedback control and instead chased the impossible: a truly zero‑latency, AI‑driven way to push your PA louder without squeals. You follow Devin Sheets from growing up on sound gigs to roaming European stages, then back home to build De‑Feedback plugin for working musicians, a live sound feedback plugin and on‑the‑fly impulse‑response generator that listens like a seasoned engineer: separating human voice, room reverb, background noise, and feedback in real time so you can grab at least 6 dB more gain before things start to howl. Along the way you see how NAMM sparked the idea, how inverse impulse responses and probability math beat old EQ and gate tricks, and how “homebrew AI” meant sneaking into every empty church at 3 a.m. just to teach the model what real rooms actually sound like. You also learn how to think like a modern working musician: using social media to find the right AI programmers across the world, leaning on LLMs to translate, collaborate, and even rate contractor work so you can move faster without losing control. You come away knowing you can drop a dedicated De‑Feedback box or plugin into almost any rig, from churches to touring consoles to tiny clubs, take it with you even when someone else is behind the board, and quietly stack the deck in your favor. In the end, it's a roadmap for how you run your own gigs and career: stay curious, embrace new tools, protect your sound, and Always Be Performing. 00:00:00 Gig Gab 524 – Monday, March 9th, 2026 March 9th: National Meatball Day Guest co-host: Devin Sheets from Alpha Labs 00:02:12 Let's Grow this Legacy Family Business Grew up doing sound Also a musician Lived in Europe Then came back and said, “let's grow this family business!” 00:03:44 We haven't “just solved” this feedback problem Went to NAMM for the first time, and was inspired There are automated EQ-based or gate-based systems PSE plugin from Waves 5045 for feedback 00:04:57 Why isn't there a “balanced audio”-type solution for Feedback Balanced Audio fixes hums and it just works. 00:08:24 NAMM is a great inspiration…and it inspired Devin and his team to seek a feedback plugin solution People get entrenched Inverse Impulse Response methodology 00:12:35 Training the AI to listen for three things: human voice, reverb, and feedback Created a de-reverb algorithm and went beyond that A probability calculation does the math 00:16:05 Truly zero latency for the plugin Workflow latency remains 00:19:32 I don't have any coding or AI background, but I have a gut feeling AI will fix this feedback problem Others: It's harder than you think Devin: I knew that it needed to happen 00:20:58 Finding an AI programmer who was interested in doing Experimented with some programmers, failed, learned some things! 00:21:09 Social Media to the rescue! Late 2023: Devin found a group of AI programmers who would be interested Sending large amounts of money to China…it's a risk! 00:26:30 At 3am, a text message: I think I've done it. Devin immediately started testing it himself “It seemed to work.” 00:27:17 Installing De-Feedback in Churches Sponsors 00:30:57 SPONSOR: Claude.ai – Ready to tackle bigger problems? Sign up for Claude today, which includes access to Claude Cowork, too, when you visit Claude.ai/giggab 00:32:43 SPONSOR: Squarespace. Check out https://www.squarespace.com/GIGGAB to save 10% oﬀ your first purchase of a website or domain using code GIGGAB. 00:34:20 What is an impulse response? Impulse Response: An audio picture of how the room sounds Popping balloons in a room/environment and recording the sound is a common approach for creating impulse responses 00:38:33 De-Feedback is an on-the-fly IR generator …and analyzer that's trained on the human voice, room reverb, background noise…and feedback 00:41:55 Finding the right programmers was the key …in addition to actually having the idea and the bullheaded persistence to make it happen. 00:44:46 Mind-melding was necessary And LLMs helped with translation! 00:48:39 Using AI to make it possible to collaborate with other humans 00:50:03 Using an LLM to rate the work of your contractors and employees 00:51:54 How do we get De-Feedback into the hands of working musicians US$499 for the De-Feedback plugin VST3 or AU plugin A higher-end Windows laptop can likely run it on its own Apple's Core Audio tech makes it difficult, but they're working on it. De-Feedback also sells a perfectly-tuned headless computer to do this Alpha Labs tried tons of interfaces that the Focusrite Scarlett keeps glitches out of the mix Waves SuperRack LiveBox 01:01:37 Where do we expand? Allen & Heath mixers? Midas/Behringer mixers? Paul Falcone, mixing Mariah Carey, wanted to use it! Robert Scovill talking Rock Hall on Gig Gab 01:05:18 Homebrew AI! Training EVERY room he could find “Can you let me into your empty church at 3am?” – To record IR to then train the data set for De-Feeback 01:07:25 Creating your own AI model 01:08:13 What's the future look like? Acquisition? Demands for security? – Planning for it all 01:09:26 You can get this and bring it with you to gigs where someone else is doing sound De-Feedback Option 1 Allen & Heath Qu-5's Feedback Eliminator De-Feedback gets at least as 6dB more gain before feedback 01:17:46 Gig Gab 524 Outtro Follow Devin Sheets And Alpha Labs Facebook and Instagram YouTube for Alpha Labs Contact Gig Gab! @GigGabPodcast on Instagram feedback@giggabpodcast.com Sign Up for the Gig Gab Mailing List The post De-Feedback Plugin for Working Musicians: More Gain, Less Feedback – Gig Gab 524 with Devin Sheets appeared first on Gig Gab.

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Episode 1: Series 1 2026 Trailer: OCIOs, Corporate Responsibility and When Enough is Enough

The Fiftyfaces Podcast

Play Episode Listen Later Mar 9, 2026 4:40

Welcome to Series 1 of 2026 – we are now approaching the age of 6 – if we were a person we would be entering school, so we have come of age, and we are going deep.Tune in to a series in which we question what it is to stick to one's investment beliefs, hear about the changing world of OCIOs and take a different take on pension fund thinking. Our guests are: Kirsty Gibson of Baillie Gifford who discusses investment beliefs and the conviction of being an active manager Rich Nuzum of Franklin Templeton, who discusses the evolution of OCIOs Klaus Peterson of Apera Capital, discussing the opportunity in lower and middle market lending in Germany and the surrounding region Corey Then, general counsel - regulation at Circle, lifts the veil on Stablecoin and their promise Thomas Knowles of the Gratitude Railroad reveals the evolved state of impact investing William McGrath of C Suite Strategies has an unorthodox view on DB pensions and he would like you to know why Larissa Herczeg of 1 Seed, who shares the secret to seeding managers in the real estate arena Alison Taylor, of NYU Stern school, a legend in the corporate responsibility area Matt Rice of newly formed Vistamark Capital on the potential for OCIO and family advisory businesses. Adam Blitz of Evanston Capital, who explains their unique approach to unearthing talent in hedge fund investing This podcast is kindly sponsored by Evanston Capital and Alvine Capital. For over 20 years Evanston Capital has had a key focus in identifying early-stage investment managers it believes are capable of generating long-term, value-added returns in complex, innovative strategy areas. Alvine Capital is a specialist investment manager and placement boutique with a particular focus on alternative assets with significant presence in London and Stockholm

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The Castle Eschatonica has provided as sharp a contrast as one may imagine. In its sunlit west wing, Antistrophe, Caoimhe, and Nicky skulk through the shadows and face down foul creatures. In the eastern wing, dripping with moonlight's majesty, the rest of our adventurers find themselves in a fete and the end of the world. But first impressions can be deceiving. Sometimes what is challenging may turn out facile in the end, and some respites may be more puzzling than preferred. This week on Perpetua: The Castle Eschatonica 04 Perpetua Guide [Community Addendum Part 02] Hey everyone, this is xXzelgadyskXx from the forums. I don't really know anything about lore like Anne, but I did put together this spreadsheet to help with the Alteros Tower/HIgh Masque puzzle. There isn't really any sort of "simple" solution. Or really, there are lots of solutions. But this should help you figure one out! Let me know if you spot any mistakes or typos! Hosted by Austin Walker (austinwalker.bsky.social) Featuring Ali Acampora (ali-online.bsky.social), Art Martinez-Tebbel (amtebbel.bsky.social), Jack de Quidt (notquitereal.bsky.social), and Andrew Lee Swan (swandre3000.bsky.social) Produced by Ali Acampora Music by Jack de Quidt (available on bandcamp) Cover Art by Ben McEntee (https://linktr.ee/benmce.art) With thanks to Amelia Renee, Arthur B., Aster Maragos, Bill Kaszubski, Cassie Jones, Clark, DB, Daniel Laloggia, Diana Crowley, Edwin Adelsberger, Emrys, Greg Cobb, Ian O'Dea, Ian Urbina, Irina A., Jack Shirai, Jake Strang, Katie Diekhaus, Ken George, Konisforce, Kristina Harris Esq, L Tantivy, Lawson Coleman, Mark Conner, Mike & Ruby, Muna A, Nat Knight, Olive Perry, Quinn Pollock, Robert Lasica, Shawn Drape, Shawn Hall, Summer Rose, TeganEden, Thomas Whitney, Voi, chocoube, deepFlaw, fen, & weakmint This episode was made with support from listeners like you! To support us, you can go to friendsatthetable.cash.

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Getting The Truth : I Am DB Cooper - By Joe Koenig

The Opperman Report

Play Episode Listen Later Mar 7, 2026 56:17 Transcription Available

Getting The Truth : I Am DB Cooper - By Joe KoenigGetting the Truth: I Am D.B. Cooper by Joe Koenig is a book that argues military parachutist and convicted criminal Walter Reca was the infamous D.B. Cooper, the man who hijacked a plane in 1971 and escaped with $200,000. Koenig, a former Michigan State Police investigator, presents his case by analyzing evidence and interviewing key witnesses, including Reca's best friend, Carl Laurin, who is also the author of a related memoir. The book supports the theory that Reca, who died in 2014, was the hijacker, a conclusion Koenig reached after comparing his findings with the FBI's. Author:Joe Koenig, a retired Michigan State Police investigator and certified fraud examiner.Core Argument:The book asserts that Walter Reca (also known as Walt Peca) was D.B. Cooper.Evidence:Koenig uses his investigative background to scrutinize documents and interview witnesses, including Carl Laurin, who claims Reca confessed to him.Context:It's part of a larger effort to solve the mystery, alongside other books and documentaries that point to Reca as the culprit.https://amzn.to/4lf0U9WBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-opperman-report--1198501/support.

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Bay Hill as the Tour's “major,” Rahm-Rory kerfuffle, and Masters tales

The Shotgun Start

Play Episode Listen Later Mar 6, 2026 55:04

After a trip to the eye doctor, Andy is locked in for this Friday episode and is immediately thrilled by an unsubstantiated rumor from Brendan! about an ill-timed tattoo. PJ is out on a trip with his fellow Boy, leaving the two to recap Daniel Berger's stellar Thursday at Bay Hill by themselves. Andy and Brendan discuss signs of life from DB and Ludvig Åberg before debating whether the Arnold Palmer Invitational should replace The Players as the PGA Tour's "major." They agree that the setup is closer to a major championship test than March at TPC Sawgrass with Brendan claiming something can't be a major if they're playing ball-in-hand every year. After a brief bowling interlude, Andy decides that Luke Donald's third consecutive Ryder Cup captaincy is NOT an issue, much to PJ's dismay. In (potentially) related captaincy news, Brendan is still on cloud nine following the big Jup Links win and Tom Kim's ace that sent Tiger's team to the TGL playoffs. Will Tiger tee it up in the first round against the Ballfrogs? We have two weeks to find out. Jon Rahm will be teeing it up in South Africa soon, which Rory McIlroy seemed to think he may not be too happy about. Rory was asked to comment on Rahm's ongoing fight with the DP World Tour and we may have a beef breweing between these Ryder Cup teammates! Finally, Andy and Brendan share some college football tales from Augusta in honor of legendary coach and broadcaster Lou Holtz, who passed away on Wednesday evening.

NFL Combine Recap + 2026 IDP Free Agency Preview

The Big 3 IDP Podcast

Play Episode Listen Later Mar 6, 2026 90:59

The NFL offseason is heating up! With the legal tampering period set to open on Monday and the NFL Combine in the rearview mirror, Josh and Adam have plenty to talk through in this week's episode. That's not to mention the plethora of news that's fallen in our laps over the last few days. So, if you're looking for a news roundup, Combine winners and losers, and a position-by-position free agency preview, strap in. You're in the right place.0:00 Weather is beautiful, y'all5:08 Trent McDuffie traded10:47 Jonathan Greenard available13:04 Bobby Okereke cut15:09 Drake Thomas re-signed15:40 Zaire Franklin available18:40 Danielle Hunter extended20:22 Tremaine Edmunds released20:50 Maxx Crosby trade rumors23:41 NFL Combine winners55:12 NFL Combine losers1:03:23 DL free agency preview1:10:59 DB free agency preview1:15:52 LB free agency previewRead Mike's top 40 free agents article: https://www.theidpshow.com/p/top-40-idp-free-agents-of-2026-fantasy-footballCheck out our free IDP trade calculator, powered by Adam's dynasty rankings: https://idptradecalculator.com/Subscribe to our YouTube channel for our other shows, The IDP After Show and All IDP.If you'd like to support the show, you can do so for just $5/month over at ⁠theIDPshow.com⁠. We've got some premium features for paid supporters that we know you'll enjoy. Follow us on Twitter ⁠@theidpshow⁠. Thanks for listening!

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SQ Classics - - "When There's No More Room in Hell, the Skanks Will Walk the Earth..." - THE SCORNED (2005)

ScreamQueenz: Where Horror Gets GAY!

Play Episode Listen Later Mar 6, 2026 105:43 Transcription Available

Another ScreamQueenz Classic episode has escaped from the Crypt, and oh, boy! This one is a doozy.Debuting as part of Episode 114 on August 8, 2014. THE SCORNED (2005) is notorious for three reasons-We're discussing perhaps the worst film ever covered on ScreamQueenz in our entire sixteen-year history.It's regarded as one of our most hilarious episodes.Most importantly, it was the first appearance of our most popular guest host couple, ALLISON NOWACKI and BRYAN POLK.THE SCORNED (2005) was the first-ever horror movie to be entirely cast with reality tv stars from BIg Brother, The Real World, Survivor, etc. It was created for the KILL REALITY show on E! which documented the making of the movie kind of like PROJECT GREENLIGHT but for skanks.In THE SCORNED, a group of twentysomethings move into a Malibu beach house. but their lusty antics incur the wrath of an "avenging angel" intent of ridding the world of cuckolds and cheaters.You can expect-Hot Tubs From HellTopless Racist Peanut Butter Cup EatingStolen NachosLascivious Lava LampsJohnny Fairplay's Copious SkidmarksDicks in JarsOne HELL of a hilarious listening experience!THE SCORNED is currently out of print & unavailable for streaming or purchase. However, you might try this Google Drive link or this Dropbox link. Available until March 31, 2026 IMPORTANT - Dropbox has a 60 min streaming cutoff, so either download the file or transfer it to yoru personal DB account.Directed by Robert Kublios, written by Rob Cesternino and starring Jenna Lewis, Steven Hill, Trish Schneider, Reichen Lehmkuhl, Trishelle Cannatella, Ethan Zahn and Bob GuineyMentioned in this episode:Network Plug with musicThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

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After London 14

Play Episode Listen Later Mar 6, 2026 34:28

2201: The Empty House/Monster House

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

Play Episode Listen Later Mar 6, 2026 39:46

Story Recommendation: The Empty House A famous 1906 ghost story by British author Algernon Blackwood, often featured in his collection The Empty House and Other Ghost Stories. It follows Shorthouse and his aunt as they investigate a notoriously haunted house in London, experiencing terrifying supernatural manifestations. Movie Review: Monster House A 2006 American animated supernaturalhorror comedy film. Dear Salinger, Your mom told me about Monster House scaring you. It sounds like one of the things that upset you is the fact that the house kept wanting to hurt people even after nobody wanted to hurt it anymore. I will tell you a secret that sounds so silly, you might not believe it, but this is true: I never finished writing Monster House before my bosses turned it into a movie. And then different writers, people I don't even know, changed the story in lots of ways, and the movie that you saw was not the story I wanted to tell you. I think a good story, even if it is sad or scary while you're watching it, should always make you a little less scared after you've seen it. And that didn't happen in Monster House. Why, after they escaped the house, did that old man tell them another scary story about a mean fat lady that didn't make very much sense either? I'll tell you why. Because Gil Kenan is a hack and Steven Spielberg is a moron. But hey, I shouldn't be dumping this stuff on you. I hope one day I can finish writing a movie that they don't change so much, and if you see it, I hope it makes you happy. Until then, I heard that Wall-E is very good, you should go see that. And next time Monster House is on, just remember that the guy that wrote it told you it was dumb. -Dan Haarmon Check out this link to buy DB's Books[link]

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After London 14

Play Episode Listen Later Mar 6, 2026 34:28

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

2201: The Empty House/Monster House

Play Episode Listen Later Mar 6, 2026 39:46

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Troubleshooting AWS Hallucinations from Vector Store DBs

Datacenter Technical Deep Dives

Play Episode Listen Later Mar 5, 2026 48:04

Join us as Amelia shares the debugging story nobody tells you about - how her vector store DB couldn't surface specific data until she tested it with simplified data from ChatGPT. Amelia walks through her journey from throwing JIRA tickets into a large language model without understanding pipelines or data cleaning, to discovering why her production vector store was failing. You'll learn about the gap between chatting with data and getting accurate connections, how to validate vector similarity search results, the difference between production and synthetic test data, and practical troubleshooting workflows for AWS vector stores. This episode reveals the messy reality of RAG systems - when everything seems fine but the outputs are subtly wrong, and how testing with simplified data can expose what production complexity hides. Timestamps 0:00 Cold Open 1:03 Welcome & Introduction 2:06 Amelia's Background & DeepRacer Trophy 4:49 The JIRA Ticket Use Case Origin Story 5:53 Getting Into the Presentation 6:03 Accessing & Cleaning Data Sets 8:12 Losing Production Data & Recreating with ChatGPT 12:45 Understanding Vector Databases 18:22 How Embeddings Work 24:16 The Hallucination Discovery 30:41 Testing Strategies for Vector Stores 36:52 Debugging Vector Similarity Search 42:18 Real-World Troubleshooting Workflows 44:26 Where to Find Amelia & Wrap-up How to find Amelia: https://www.linkedin.com/in/ameliahoughross/

Colts Transition Tag Jones - Where do We NOT Want Pierce to Go?

Mad Radio

Play Episode Listen Later Mar 4, 2026 11:24

Seth and Sean discuss the Colts using the transition tag on QB Daniel Jones, that leaving them unable to tag WR Alec Pierce, where they hope Alec Pierce doesn't end up, and Travis Hunter primarily playing DB for the Jags.

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Prostate orgasms vs penile orgasms: what's the difference?

Play Episode Listen Later Mar 4, 2026 15:21

Last week, we talked to Luna Matatas about seducing the butt -- but today, we'll go even deeper (wink wink) on the prostate! What is a prostate orgasm? How do you have one and/or give your partner(s) one? How is it different from a penile orgasm? Let's explore this fun part of the body and find even more pleasure! RECOMMENDED LISTENING Season 13, Episode 17: "Seducing the Booty: Tips for Pleasurable Anal Play with Luna Matatas" Season 13, Episode 14: "What happens in the brain during an orgasm?" Season 12, Episode 5: "20 Types of Orgasms with Goody Howard" TAKE OUR SMUT QUIZFind your page-turning turn-on with our new SMUT QUIZ! In just 5 questions, you'll get right to the good stuff with curated pages, poems, and audios. No slow burn. No fluff. Just pleasure. Take the quiz here: https://sexedwithdb.fillout.com/smutquiz ABOUT SEASON 13 Season 13 of Sex Ed with DB is ALL ABOUT PLEASURE! Solo pleasure. Partnered pleasure. Orgasms. Porn. Queer joy. Kinks, sex toys, fantasies -- you name it. We're here to help you feel more informed, more empowered, and a whole lot more turned on to help YOU have the best sex. CONNECT WITH USInstagram: @sexedwithdbpodcast TikTok: @sexedwithdbThreads: @sexedwithdbpodcast X: @sexedwithdbYouTube: Sex Ed with DB SEX ED WITH DB SEASON 13 SPONSORS Uberlube, Magic Wand, LELO, and Happy V. Get discounts on all of DB's favorite things here! GET IN TOUCH Email: sexedwithdb@gmail.comSubscribe to our newsletter for hot goss, expert advice, and *the* most salacious stories! FOR SEXUAL HEALTH PROFESSIONALS Check out DB's workshop: "Building A Profitable Online Sexual Health Brand" ABOUT THE SHOW Sex Ed with DB is your go-to podcast for smart, science-backed sex education — delivering trusted insights from top experts on sex, sexuality, and pleasure. Empowering, inclusive, and grounded in real science, it's the sex ed you've always wanted. ASK AN ANONYMOUS SEX ED QUESTION Fill out our anonymous form to ask your sex ed question. SEASON 13 TEAM Creator, Host & Executive Producer: Danielle Bezalel (DB) (she/her) Producer and Growth Marketing Manager: Wil Williams (they/them) Social Media Content Creator: Iva Markicevic Daley (she/her) MUSIC Intro theme music: Hook Sounds Background music: Bright State by Ketsa Ad music: Soul Sync by Ketsa, Always Faithful by Ketsa, and Soul Epic by Ketsa. Thank you Ketsa!

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After London 13

Play Episode Listen Later Mar 4, 2026 42:39

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

After London 13

Play Episode Listen Later Mar 4, 2026 42:39

After London 12

Play Episode Listen Later Mar 3, 2026 36:49

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

After London 12

Play Episode Listen Later Mar 3, 2026 36:49

After London 11

Play Episode Listen Later Mar 2, 2026 38:47

Black Clock Audio Tales: Audio Books, Science Fiction, Folklore, Gothic Literature, Classic Horror, and the Cthulhu Mythos

After London 11

Play Episode Listen Later Mar 2, 2026 38:47

Drive By Wrestling Podcast

Perpetua 35: The Castle Eschatonica 03

Friends at the Table

Play Episode Listen Later Mar 1, 2026 107:17

Perpetua 35 WIth the entryway of Castle Eschatonica behind them, the two newly shuffled groups of adventurers head into the dungeon's perplexing (and perilous) hallways. Antistrophe Landrace, Uncle Nicky, and Caoimhe Wake find themselves amongst grime and dirt, with the sounds of explosions echoing in the distance. The rest of the group—Jonathan, Maebela, Elena Millefiori, Veile Lynndel, Brontë Adelvys, and his bodyguards Efta and Zolfta—are drawn by the sound of the winds towards something altogether more noble… This week on Perpetua: The Castle Eschatonica 03 Perpetua Guide [Community Addendum Part 01] Hey everyone! My name is Anne and I'm going to be filling in for FriendofNei for a little bit! I'm not really good at all that formatting stuff, so I'll try to make it up with extra information! Today's update is about the first few rooms you'll find in Eschatonica, but I'll try to add a little extra info about what this dungeon is referencing for people who are curious! (But beware of spoilers, both for Perpetua and the other franchises being referenced. I'll note them in parentheses next to the room name!) I've kept in the sort of chapter headings that Nei normally uses so that hopefully they can just slot it back in, if they want to, once they're back! (Oh, since I have no idea which room you might find first, I'm organizing this alphabetically.) Ready? Okay! Dungeon Maps [DNMP] Castle Eschatonica Map (IN PROGRESS) [CEDM] Balcony (Imago) I almost didn't even include this as a 'room' but it has a load screen, and a BEAUTIFUL view of one of the Castle's major towers (more on that next update!) At first, you might think this is from Alteros because of the Tower view, the sky, and the invite to the High Masque. However, if you remember being in Violet Caliban's studio in Imago 2: Ancestral Fault, there was a south-facing window you could interact with. When you did, Violet said 'There's always a bunch of rich yuppies on that balcony. Bet they don't even enjoy the view.' (I love her she's SO MEAN). Even though you can't see the view from there, this is definitely that balcony! (You'll see why later.) Oh, and make sure to pick up the invite on the table! It's the easiest way to progress past the doorman. Creature Cages (Genesika) This looks just like the room where Mossy Mozz gets placed after he gets turned into a regular mouse (instead of the cute mouseboy he normally is)! For people who haven't played it, you have to do this whole laboratory dungeon at mouse-scale, and at the end, you have to fight the cat who's been embedded with a Poison Spell Orb coalesced around the dead scientist's spirit. Anyway, be careful here, because you can get bitten pretty bad by a Bio-Rat if you're not careful! Entryway I guess this counts as a room, but I really don't want to write up the whole solution to the puzzle, so um, can someone else handle this one? It doesn't really seem to be a reference to anything either, I think just totally original for Perpetua, so there's not much for me to add n.n;;;;;) Megamagnet Trap (Genesika) If you're not careful, you can lose items AND asta here, as a giant magnet will lift you to the ceiling and empty your pockets! While you can also get a little bit of money (or even a spell orb!) I think it's probably better to avoid this place all together! (These are ripped right from the Scrapyard Dungeon in Genesika: Basilisk's Lament.) Necrosmith's Workshop (Ichoria) You can find a GREAT weapon here—the Blooded Blade, which was originally a bonus weapon you could unlock in Ichoria 2's Slice Mode. Otherwise, beware of the Bloodstarved. I didn't fight them my first three times through this dungeon, but on the fourth time they really took me out! Though the special Celestial Laws for Ichoria really prioritize getting good physical hits in, don't forget about spells! Light spells are especially effective here because they're undead! (Which is probably why Light Spells are such a rarity in Ichoria itself!) Oracle Infirmary (Armidurge) Oh. My. God. When I entered this room I almost started to cry. Maybe you haven't played Armidirge III: The Unrecorded Records (which makes sense, because it was never localized), BUT let me tell you the short version. In AIII:TUR, you play as a trio of Saints, resurrected by the Creed of Oracles and pulled back from heaven so that you can fight the Windborne Church at the northern front, which has been all but abandoned. As Revived Saints, you're really strong—you even get a couple of Reliquaries to pilot alongside your lay chapel (or are just regular people down on their luck who get sent to the front to be your grunt soldiers). You're told early on that if you die before the battle is over, you will lose your sainthood and that means your soul just goes to the Grace (which is like Limbo in Armidirge lore). About halfway through the game, one of your three Saints (Soneya) jumps in the way of a full bore blast from the Windborne Church's Scirocco Cannon in order to save whatever Chapel member she has the highest affinity with. (Affinity is a stat characters get by fighting 'shoulder-to-shoulder' together). And if that character is one of Soneya's potential love interests (Jelissa, Vanderian, or Sunny (for me it was Jelissa)), you get a bonus scene IN THE MIDDLE OF COMBAT, which is like a flash forward to after the war, of that character coming to THIS INFIRMARY and kneeling at one of the beds and CRYING. The whole rest of the game you have to carry on KNOWING that even if you win, Soneya's true love is SUFFERING the whole time, and that "winning" looks like more grief for them. It's. So. Good. Anyway, you can get a Panacea and a Deck of Oracles here. Trick Stairwell (Everything) Ha. Ha. Ha. The famous Trick Staircase finally shows up in Perpetua! I knew it would be in here somewhere. In case you don't know, this thing will seem to stretch on forever once you start running up it, but the second you slow down (which normally happens if you want to stop and turn around the other way), the stairs fall out from under you and you fall down to the base (and normally into some sort of killer pit). Sand Flooded Throne Room (Springsong) Hey! This is the title screen to the very first Springsong game. In case you don't remember: You hit start, and the title card just fades away, and then three figures come in (they're the Wayward Scions) and march through the sand up to the Throne. And then Saffron says "Still empty." And the theme music hits! I was sure there was loot in here, but I can't seem to find it. Anyone find anything!? Hosted by Austin Walker (austinwalker.bsky.social) Featuring Ali Acampora (ali-online.bsky.social), Art Martinez-Tebbel (amtebbel.bsky.social), Jack de Quidt (notquitereal.bsky.social), and Andrew Lee Swan (swandre3000.bsky.social) Produced by Ali Acampora Music by Jack de Quidt (available on bandcamp) Cover Art by Ben McEntee (https://linktr.ee/benmce.art) With thanks to Amelia Renee, Arthur B., Aster Maragos, Bill Kaszubski, Cassie Jones, Clark, DB, Daniel Laloggia, Diana Crowley, Edwin Adelsberger, Emrys, Greg Cobb, Ian O'Dea, Ian Urbina, Irina A., Jack Shirai, Jake Strang, Katie Diekhaus, Ken George, Konisforce, Kristina Harris Esq, L Tantivy, Lawson Coleman, Mark Conner, Mike & Ruby, Muna A, Nat Knight, Olive Perry, Quinn Pollock, Robert Lasica, Shawn Drape, Shawn Hall, Summer Rose, TeganEden, Thomas Whitney, Voi, chocoube, deepFlaw, fen, & weakmint This episode was made with support from listeners like you! To support us, you can go to friendsatthetable.cash.

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Corporate Heat!

Play Episode Listen Later Mar 1, 2026 39:32

This week, on episode 405, The Mike dive into the "Corporate push" and how fans reactions to it have changed over the different eras of wrestling. Is today's Roman yesterday's Diesel? Is anyone today seemingly immune to the heat?Db notes links Please consider helping Mikey: https://gofund.me/46b0b4fb“I Am Strange” written and performend by BZfOS / Schlitzer Pepi Recordsfacebook.com/drivebypodArchives:Piledriversinthecrypt.comdanielgrothe.us danielgrothe.net danielgrothe.at

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The Fellas With Anthony Gargano & Daniel DiBerardinis talk NFL Combine, College Basketball, & MORE!

Fox Sports Radio Weekends

Play Episode Listen Later Feb 28, 2026 121:43 Transcription Available

On a new episode of The Fellas with Anthony Gargano & Daniel DiBerardinis, the guys discuss the NFL Combine including Kenyon Sadiq breaking the TE 40-yard dash record and why Drew Allar could have more success in the NFL than in college. The guys then do their own NFL Mock Draft in honor of the combine detailing why the Giants need to take a DB, not a WR at pick 5, and why more tackles could go in the top 10 than people think. The guys discuss why the Bengals and Falcons are due for a comeback year in the NFL next season and which QB's have the most to prove next season. Big Brain Brad joins the show for all the best bets headed into a BIG college basketball weekend and to give his Final Four picks. See omnystudio.com/listener for privacy information.

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DBs & TEs Steal the Show at the NFL Combine | 49ers Draft Talk Ep. 341

The WayneBreezie Show

Play Episode Listen Later Feb 28, 2026 64:33

Defensive backs and tight ends took center stage at the NFL Combine, and the draft board is already shifting. In this episode of The Wayne Breezie Show, we break down the biggest DB and TE standouts, rising draft prospects, and what their performances mean for the San Francisco 49ers heading into the NFL Draft.Wayne Breezie reacts to Combine workouts, evaluates real football traits beyond the 40-yard dash, and identifies potential 49ers targets that could impact the roster moving forward.

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Perpetua 34: The Castle Eschatonica 02

Friends at the Table

Play Episode Listen Later Feb 25, 2026 77:55

By a quirk of fate (and the meddling of a peculiar being named Gnova), two bands of adventurers came crashing into each other in the middle of the Dragon Path. After greeting each other and gaining an invitation to the mysterious Castle Eschatonica, they crossed the debris of echoed worlds, dodged the hungry eyes of a dragon-owl, and made their way into the castle. Now they face challenges like they've never yet seen… This week on Perpetua: The Castle Eschatonica 02 Perpetua Guide [Temporarily On Hold - v.0599] Some Feedback [Page 56 of 56] TheUnforgivenIII So I guess Nei is never coming back huh. What a loser. Doesn't he know people were counting on him? If you don't have the cajones to stick with a FAQ you shouldn't bother starting one, it'll only disappoint people. TheDiamondRanger My dad got me the official strategy guide and I could write some hints from that in here if you wanted but I wouldnt wanna give away any big spoilers so maybe I wont Alukard83 Hey man, that's not cool. Back off. TheDiamondRanger Okay Im sorry I didnt knwo that I wsnt alllwoed to post from the guide i thought i was helping im sorry CarlsSr Wow, three dumbasses in a row. Alukard83 Not you Diamond, I meant Unforgiven, who is being a real jackhole. Nei is really going through it, plus had to step away because of holidays. If the FAQ doesn't get finished, then we'll just have to wait for someone new to step up. Doom_Tree_Anne I wouldn't mind helping for a little bit, if you want! I've always wanted to try my hand at writing an FAQ. n.n I'll message you on the IRC! Hosted by Austin Walker (austinwalker.bsky.social) Featuring Ali Acampora (ali-online.bsky.social), Art Martinez-Tebbel (amtebbel.bsky.social), Jack de Quidt (notquitereal.bsky.social), and Andrew Lee Swan (swandre3000.bsky.social) Produced by Ali Acampora Music by Jack de Quidt (available on bandcamp) Cover Art by Ben McEntee (https://linktr.ee/benmce.art) With thanks to Amelia Renee, Arthur B., Aster Maragos, Bill Kaszubski, Cassie Jones, Clark, DB, Daniel Laloggia, Diana Crowley, Edwin Adelsberger, Emrys, Greg Cobb, Ian O'Dea, Ian Urbina, Irina A., Jack Shirai, Jake Strang, Katie Diekhaus, Ken George, Konisforce, Kristina Harris Esq, L Tantivy, Lawson Coleman, Mark Conner, Mike & Ruby, Muna A, Nat Knight, Olive Perry, Quinn Pollock, Robert Lasica, Shawn Drape, Shawn Hall, Summer Rose, TeganEden, Thomas Whitney, Voi, chocoube, deepFlaw, fen, & weakmint This episode was made with support from listeners like you! To support us, you can go to friendsatthetable.cash.

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QA40 - Listener Questions, Episode 40

The Meaningful Money Personal Finance Podcast

Play Episode Listen Later Feb 25, 2026 36:30

In this episode we answer listener questions covering emergency funds for higher and additional rate taxpayers, and inheritance tax considerations around beneficiary SIPPs. We also discuss whether couples should rebalance pension contributions, the key steps to take before retiring abroad, and what to know about DB pension transfers. Finally, we look at cross-border pension taxation using the UK–Denmark double taxation treaty as an example. Shownotes: https://meaningfulmoney.tv/QA40 01:20 Question 1 Hi Pete & Roger, Thanks for all your helpful and easy to understand information. I have only been on my financial wellbeing journey for a year. I work in the NHS and am in a higher tax bracket. I am fully enrolled in the NHS pension, more out of previous disinterest than any actual action on my part. I am single and currently saving up for a down payment on a house in about 4/5yrs. I maxed out my ISA last year and expect to do the same this year; this includes money for the down payment. I also took out a SIPP which I only recalled last year; I took it out 20+ years ago. However I am still waiting for a statement from the pension office before my accountant can work out how much more I can add to the SIPP. In the interim I have my emergency fund in a premium bond (20k) but am worried it's being eroded by inflation. I expect to be an additional tax payer in the next few years. Where should I keep my excess cash? More in premium bonds with no tax but erosion by inflation; or open GIA or more in high interest savings account and pay the tax? Or is there another option you would recommend? Btw I have £600 in crypto (Coinbase and Etherium) but don't plan to put more than £400 more in then plan to forget about it. It's a tiny fraction of what I put in my ISA. Thanks, Joy 04:46 Question 2 Dear Pete and Roger. Love the podcast. I think it is essential listening for those wanting to elevate their knowledge of the incredibly important subject of financial planning and it also highlights the value add that financial professionals can provide. My mother is 79 and has a comfortable guaranteed inflation linked income via state and civil service pension, which is supplemented by savings (maxed premium bonds & healthy cash savings) and investments held in ISAs and a beneficiary SIPP from my late father who passed before 75yrs old (therefore the assets are income and CGT free). My mother is keen to minimise the IHT on the estate both her and my father worked so hard to create. Despite her comfortable situation, I still have to encourage her to spend and use your very helpful '40% off sticker' analogy on a regular basis. It is my understanding that SIPPs will be subject to IHT and income tax from 2027. As my sister and I are both additional rate taxpayers, we will potentially be subject to 67% tax on any assets remaining in the SIPP if the estate is above £1m IHT threshold. While the '67% off sticker' analogy is even more helpful to encourage her spending, it has triggered some planning. We are drawing down the beneficiary SIPP to fund ISA each year for my mum – keeping the income and CGT tax benefits for my mum while removing it from the double income and IHT tax on death. As part of the IHT planning we are now considering regular gifts from surplus income. When combined with her guaranteed income, the assets in the beneficiary SIPP are more than sufficient so sustain her lifestyle until her age would be well into three figures. Based on my reading, it appears any drawdown from SIPPs are considered 'income' for gifting purposes, regardless of if they come from capital or income. Therefore she could start to draw more 'income' from the SIPP and gift this surplus which could be considered IHT free. Are there any limits to how much or how quickly she could reasonably drawdown from a SIPP so that it would no longer be considered 'income' by HMRC for IHT purposes? i.e could she empty the SIPP over a 5 yr period, gift that as excess income, then reduce the gifts to reflect a different income and or expenditure? While all the drawdown from SIPPs is considered 'income' for IHT purposes, the treatment of withdrawals from ISAs or other investments are distinguished between whether they are actually capital or income. Therefore, we have the added complication of needing to balance the 'income' drawdown from the beneficiary SIPP to make sure she doesn't eat into 'capital' of the ISAs and savings which would then mean the gifts from regular surplus income would then be considered part of the estate again. Our circumstances mean my mum feels slightly trapped between keeping the SIPP (so it is considered income for gifts from regular income but gets IHT taxed at 67%), continuing to use the beneficiary SIPP to fund ISAs (reduce IHT liability but lose flexibility to gift it as income), maybe change the investment engine of the ISAs from a lower yielding balanced solution to something with a higher natural yield, or do something else altogether (lump sum gifts and hope to survive 3yrs for taper or 7yrs). Any thoughts or suggestion would be appreciated. While there are some relatively niche circumstances, I think it covers two more broadly applicable IHT planning considerations SIPPs v ISAs under the new rules and regular gifts from surplus income. Thanks in advance Stephen 17:06 Question 3 Hi Pete and Roger Thank you both for your continued help in navigating the financial maze and I am enjoying the listener questions. My wife works part time and is a basic rate tax payer. She pays into her workplace pension and contributes an additional 15%. Her pension provider receives 20% tax relief on these contributions. I am a higher rate tax payer and I make contributions to a SIPP. My pension provider receives 20% tax relief and I claim an additional 20% directly from HMRC. As a couple, we could stop making the additional contributions to my wife's pension and instead make them into my SIPP. This would give us an additional 40%, rather than 20%. Mathematically this makes sense. We haven't done this so far, as I like the idea that we are equally contributing to both of our pensions, for the future. It also helps keep things simple. I am mindful that one day, we may kick ourselves for not making this simple switch which may leave us with a significantly bigger pot, when we need it. What options would you consider in this decision of splitting pension contributions. Many thanks, Rob 20:17 Question 4 Dear Pete & Rog, I just wanted to say a heartfelt thank you for your podcast and the incredibly valuable information you share. Your conversations are not only insightful but also reassuring as I start to think more seriously about my own retirement planning! One of the things I'm considering is retiring abroad (somewhere sunny!) Spain most likely, and I wondered if you might explain the process you go through with such clients. Specifically, do you have a checklist, or a list of key questions, that you typically ask clients to work through before moving overseas? For example, I've learned that ISAs are not recognised in many EU countries (so it may be better to sell before leaving), and I imagine there are similar considerations around SIPPs/UK DC pensions and other investments. Do you also tend to liaise with financial planners or accountants based in the EU when helping clients prepare for such a move? I would be very grateful for any wisdom you could share. Thanks again for all the work you put into the podcast, it really does make a difference. Warm regards, Chloe 24:55 Question 5 Hi Pete, Love the podcast. Very informative and user friendly. I have a question, once popular but maybe not so much now and one that will make advisers sweat again! I'm a sophisticated investor (so to speak!), I manage my own SIPP etc and I'm an accountant so I guess I have a head start over most people. I have a net worth excluding my house of circa £2.5m spread across a SIPP, ISA, FIC and GIA. I also have an old DB pension. I'm 59. It pays out circa £6,500 from the age of 65. My dad died aged 63. Given my circumstances I want to transfer the DB scheme into my SIPP. I have two children so would like them to get it rather than die with me so to speak. The last transfer value I got was pre covid at circa £100k which I know isn't a brilliant multiple but I'm happy with that. I'm fit and healthy but I'm not relying on the guaranteed pension given my other pension provisions. So, firstly is it likely the transfer value would have gone up or down given the increase in interest rates and secondly do you think I could get a positive recommendation from an adviser? Thanks, Oscar 31:35 Question 6 Dear Pete and Roger, Love the podcast. I'm a bit more of an adventurous investor than you usually caution, but you provide a certain "passive-tracker-Yin" to my "property-investment-Yang". Given your backlog I'm going to ask you a pension question that I probably don't have to think about for 20 years, so you have time to get to it. I worked in Denmark for several years and paid into a pension scheme while I was there. I believe it is structured similarly to a UK DB pension scheme. There is an initial lump sum plus an income for life. This pension fund is not covered by QROPS, so there is no transferring my way out of this complexity. The Danish pension fund thinks I'll be paying Danish income tax (presently 37-38%), Chat GPT is adamant that I'll be paying UK Tax. Who's right? If taxed in the UK I can imagine getting the tax free cash allowance right might be complicated. Is there anything else I should be considering? Best Wishes, James

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