Podcasts about CS

6 - Mai felolvasónk: Csőre Gábor Jászai Mari-díjas színművész, szinkronszínész by Balázsék

00:00 - 6 óra 28:42 - Ma este indul a közös Balázsékos Böjt 44:42 - Részegen teljesítette az 50 kilométeres távot egy brit sífutó, legalább 10 sört és 5-6 pálinkát ivott 59:58 - Leszúrta az apját lándzsával, mert dumált tévézés közben 1:17:34 - Megölte a nővér a rá küldött bérgyilkost 1:34:19 - Mai felolvasónk: Csőre Gábor Jászai Mari-díjas színművész, szinkronszínész

Dabble is the sponsor of Pitch Side! Be sure to check out their UNREAL offers here: https://click.dabble.com/NeOH/q1s6chwq18+ Gambleaware.org #AdNew episodes available to watch & listen EVERY DAY.Click HERE: https://linktr.ee/pitchsidepodcastIf you'd like to work with us, email the studio onworkwithpitchside@fellasstudios.comProduced by The Fellas Studios: https://fellasstudios.com/podcastsTheo:https://youtube.com/c/HiMalfoyhttps://youtube.com/c/TheoBakerVlogsReev:https://youtube.com/c/reevhttps://youtube.com/c/OllieFletcherTom Garratt:https://www.youtube.com/@TomGarratt10Lewis Bowden:https://www.youtube.com/@lewisbowden1Dabble T&Cs:£10 in Free Bets Welcome Offer: https://helpdesk.dabble.co.uk/en/articles/11468007-10-in-free-bets-welcome-offer£10 in Free Bets Referral Offer: https://helpdesk.dabble.co.uk/en/articles/11468017-10-in-free-bets-referral-offer

Justin sits down with Allison Skidmore, Chief Customer Officer at Optimizely, the world's first operating system for marketing teams.Allison brings a rich perspective shaped by stints at Adobe, Stackla, Gigya, and SAP across Asia Pacific before landing in the US to lead customer success at Optimizely. This episode explores how AI is fundamentally reshaping the marketer's daily workflow, what great onboarding looks like in an AI-native world, and what the CCO role must become as organizations race to stay ahead.Episode Notes & Key Topics1. Allison's Career JourneyStarted in SEM at a Sydney agency later acquired by Adobe, rode the wave of digital marketing's early SaaS transition.Spent six years at Adobe running customer success across Asia Pacific, building offshore teams and subscription services models.Moved through Stackla and Gigya (acquired by SAP nine months in), then scaled the CS role across all SAP lines of business in APAC.Joined Optimizely two years ago after reconnecting with CEO Alex Atzberger, bringing global enterprise CS experience to a fast-growing martech platform.2. What Stays the Same in Customer SuccessThe sales-to-CS handover friction is timeless: it never goes away regardless of company size or stage.Digital-first customer engagement (email, offshore teams, automation) has been a constant scaling challenge for decades.The shift from time-and-materials professional services to subscription models remains a dominant trend.Tech advancements create the inflection points:  AI is today's example.3. AI and the Marketer's Day-in-the-LifeAllison paints a vivid picture: by 10 AM, an AI-enabled marketer has completed a full week's worth of work.Optimizely's Opal AI product is provisioned across the entire team, enabling agent building, workflow automation, and access to tools like Claude and Gemini.The opportunity is not just efficiency, it's the ability to pull forward backlogged work and shrink implementation timelines (e.g., from 12 months to 3).The companies moving fastest are the ones blocking calendar time to train their teams on prompting and agent-building, not just giving access.4. Reimagining Onboarding and the Customer JourneyAllison's framework: great onboarding is the seamless alignment of three channels, human-to-human touchpoints, email marketing, and in-product experience.Customers now expect to self-serve answers (just like asking AI instead of calling a mechanic), human-heavy onboarding alone no longer cuts it.Consistency is the key: the message the customer gets in the product, in their inbox, and from their CSM should be identical, no basic repeats, no skipped steps.5. The Evolving Role of the CCOThe C-suite fundamentals don't change: stay curious, solve problems, skate to where the puck is going.Today, the puck is AI.  If you can't build an agent, you can't expect your team to.Allison is actively realigning roles, KPIs, and commissions around AI-native execution.The CCO who can't leverage AI to scale themselves and reimagine their business will become extinct, just like Blockbuster.Lego is the positive model: reinvention again and again.6. What's Top of Mind for 2026AI continues to dominate, but the customer journey evolution is a close second.Consumers are shifting from Google to ChatGPT and similar tools, which means brands must optimize for GEO (Generative Engine Optimization), not just SEO.Personalization is entering a new era:  every touchpoint, not just the website.

In this episode of the Demystifying Mental Toughness Podcast, David Charlton explores an often overlooked aspect of confidence in sport, interpersonal confidence. He discussed a common dynamic seen in sporting environments: a coach with very high interpersonal confidence working alongside an athlete who struggles to speak up.  Highly confident coaches often communicate clearly and persuasively. They lead conversations, provide direction and bring strong conviction to their coaching. Yet when this confidence dominates the interaction, quieter athletes can become increasingly passive, hesitant and disengaged. Using Sophia Jowett's 3 + 1 Cs model of the coach–athlete relationship; closeness, commitment, complementarity and co-orientation, David explains how coaches can create environments where athletes feel psychologically safe to contribute their ideas and ask questions.  He argues great coaching creates space for an athlete's voice to be heard. >> Key Takeaways ·         Confidence in sport is not just about performance, it also includes interpersonal confidence and the ability to communicate. ·         When coaches dominate conversations, quieter athletes can become passive and disengaged. ·         Creating psychological safety through listening, open questions and patience allows athletes to develop the confidence to contribute. If you enjoyed this episode, check out the other parts of this mini-series and our previous podcasts on the coach–athlete relationship: Ep308 – Confidence in Ability – When Coaches and Athletes Think Differently Ep307 - Achievement Orientation: When Coaches and Athletes Think Differently Ep306 - Goal Orientation: When Coaches and Athletes Think Differently Ep305 – Emotional Control: When Coaches and Athletes Think Differently Ep304 – David Charlton - Life Control: When Coaches and Athletes Think Differently Connect with David Charlton ·         Sign Up To The Mental Edge ·         Join David @ The Sports Psychology Hub ·         LinkedIn

Trevor Yates, CS, from New York, New York, USA

Ready to churn less and win more?

Welcome to the new era of Motherkind. This is a new chapter. More intentional. More expansive. The conversations are deeper, the guests are bold, and the ambition is clearer. We're now video-first, which means you can watch every full episode on YouTube. I'd love you to subscribe and join us in this next season of Motherkind. If you're ready to think differently about ambition and motherhood, you're in the right place What if confidence comes because you start, not before? In this energising, honest conversation, Zoe sits down with entrepreneur and personal branding expert Amelia Sordell to talk about visibility, ambition, and building a career alongside motherhood. Amelia shares how she grew, and later closed a multi-million-pound agency, rebuilt her career on her terms, and now helps women stop shrinking and start backing themselves. This episode is for mothers who want more — but feel overwhelmed about where to begin. In this episode, you'll learn: . What personal branding really means (beyond social media) . How small career experiments build confidence fast . Practical ways to grow visibility — even on a career break . Why action beats overthinking every timeHow to redefine success around freedom, not status Amelia also opens up about juggling motherhood and business, burnout, and having the courage to walk away from success that no longer felt aligned. This is an episode about courage.About choosing yourself.About just getting started. Because you are not “just a mum.”And you don't need permission to build something extraordinary. Remember to subscribe to Motherkind — it helps more mothers find the show and keeps our community growing. Feeling different since becoming a mother? Get clarity on who you're becoming now and  download your FREE Matrescence Cheat Sheet If you liked this episode, listen to this next:  Connect with Zoe: Follow Zoe on Instagram  Watch every full episode on YouTube and subscribe  Get Zoe's Sunday Times bestselling book, 'Motherkind: A New Way to Thrive in a World of Endless Expectations' This Motherkind episode is sponsored by: . Headline sponsor Wild Nutrition, the brand raising the bar for women's supplements. Want to feel the Food-Grown difference yourself? Get 50% off for three months at wildnutrition.com/motherkind. Ts and Cs apply. . Start your children's reading journey with Usbourne Books . For a £100 sponsored job credit, visit Indeed.com/ Motherkind Learn more about your ad choices. Visit podcastchoices.com/adchoices

CHELTENHAM FESTIVAL DAY 4 BETTING GUIDE Our panel of Emmet Kennedy, Adam Mills, George Gorman, Andy Newton and Jaime Wrenn preview every race on Day 4 of the Cheltenham Festival, sharing their best bets for Friday. The feature race, the Cheltenham Gold Cup, looks set to be a cracker as The Jukebox Man, Gaelic Warrior and Jango Baie renew rivalry having fought out the finish in the King George VI Chase. They are joined by Haiti Couleurs, Grey Dawning, Cheltenham hero Envoi Allen and defending champion Inothewayurthinkin, making it one of the most intriguing renewals in recent years. The panel share strong opinions and lively debate, with three of the team agreeing on the same horse as their NAP of the day.

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

Market Logic Software sits at the intersection of market intelligence and enterprise AI — helping companies like Procter & Gamble and Unilever move from gut-feel decision-making to insights-driven operations. When Dirk Wolf stepped in as CEO five years ago, the business had impressive logos but a fundamental scaling problem: every customer had been co-built with, deeply customized, and operationally entangled. High retention masked an unsustainable model. In this episode of BUILDERS, Dirk breaks down how he restructured the GTM motion, made the deliberate choice to walk away from revenue that couldn't repeat, launched an AI product in Q2 2023 before most companies had a roadmap, and is now repositioning Market Logic as an agentic intelligence hub embedded inside enterprise infrastructure.Topics Discussed:The co-development trap: why deep enterprise relationships can become a scaling ceilingMaking the call to cut a government ARR contract to protect repeatabilityImplementing SaaS KPIs and customer segmentation from scratch inside an existing businessHow the marketing motion evolved — from executive roundtables to measured digital channelsBuilding a productive marketing-CFO relationship through outcomes and milestonesLaunching an AI product in Q2 2023 and tracking enterprise sentiment shift in real timeWhy the downstream ICP experiment failed and how they course-corrected fastThe vision for Market Logic as a proactive agentic system inside enterprise tech stacksGTM Lessons For B2B Founders:The co-development trap is a silent growth killer. Market Logic had strong retention and marquee customers — but had co-built so many bespoke solutions that the business couldn't replicate itself. No repeatable sales motion. No scalable delivery. When Dirk came in, he recognized that what looked like customer success was actually a ceiling. If your top accounts each required their own version of your product, you don't have a business yet — you have a services firm with SaaS ambitions. The fix starts with ruthless product scope decisions before you touch GTM.Cutting revenue is sometimes the GTM move. Dirk walked away from a US government contract — real ARR, on-prem, fully customized, no path to replication. The decision wasn't financial modeling, it was strategic clarity: you cannot build a repeatable motion while simultaneously maintaining one-off revenue that pulls engineering, CS, and leadership attention in a different direction. Most founders know this intellectually. Few actually do it. The willingness to let that revenue walk is what creates the conditions for scale.Segment by growth potential, not by decibel level. One of Dirk's first structural changes was introducing proper SaaS KPIs and customer segmentation — because without them, resources defaulted to whoever was loudest. That's almost always the smallest, most difficult accounts, not the ones with the most strategic upside. The discipline isn't just about where sales focuses. It cascades into product prioritization, CS allocation, and where leadership time actually goes. ICP isn't a marketing exercise — it's an operating model decision.// Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.ioThe Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co//Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

After todays episode, head on over to @therapybookspodcast to learn about the latest giveaway. *Information in this podcast is for informational and educational purposes only. Psychotherapist and host Jessica Fowler interviews health coach, author, and speaker Esther Avant about her book, "To Your Health: A Lifestyle of Health, Happiness, and Confidence," (affiliate link).  We explore how changing perspective can free people to question beliefs and pursue goals. Highlights Unlearning Beliefs Self-Compassion Skills Personality Isn't Permanent Three C's: Consistency, commitment and confidence Redefining Health Small Wins Mindset About the author: Esther Avant is an author, speaker, and health industry veteran with over 19 years of experience helping people unlock their full potential by prioritizing their health. Through her bestselling book, To Your Health, podcast by the same name, and her work as a coach, Esther teaches individuals how to use health as the foundation for achieving lasting success in all areas of life—whether it's losing weight for good, boosting career performance, or fostering personal growth. With a focus on her signature FITT framework and the 3 Cs of success, she empowers her clients to build sustainable habits that lead not just to better health but greater confidence, success, and happiness.

CHELTENHAM FESTIVAL DAY 3 BETTING GUIDE with 1xBet Ireland Our panel of Emmet Kennedy, Adam Mills, George Gorman, Andy Newton and Jaime Wrenn preview every race on Day 3 of the Cheltenham Festival, sharing their best bets for Thursday. It's a fascinating card where expectations will be high for Bambino Fever, Wodhooh, Fact To File, Supremely West and Jeriko Du Reponet, but the panel believe there may be value elsewhere on the card. From the Ryanair Mares' Novices' Hurdle to the stamina test of the Stayers' Hurdle, and the blockbuster Ryanair Chase, the team break down the full card with strong opinions, lively debate and the usual Final Furlong craic. Along the way, the panel reveal their NAPs and next best bets, including selections priced up to 50/1.

What does popular finance content reveal about everyday investors? Damien Jordan from Damien Talks Money joins us to explore the gap between the videos people click on and the information they actually need. And in today's Dumb Question of the Week: Has making finance content changed how you invest? --- Thank you to Lightyear for sponsoring this episode. I opened my 2025/2026 ISA with Lightyear. If you want to try them out as well, use PENSIONCRAFT to get between £10 and £100 in a fractional share or ETF in your General Investment Account. See full T&Cs at lightyear.com/pensioncraft. Capital at risk. ISA terms apply. Promotional terms apply. ---Get in touch

This week Tim Sherwood and Natalie Pike sit down with former Liverpool & Republic Of Ireland midfielder Jason McAteer to discuss all things football from Tottenham's worrying season to where does Salah rank amongst Liverpool greats?They start the pod by chatting about Cheltenham this week, why footballers love a day out at the races and why Jason wants his ICONIC white Liverpool suit back from Helen Chamberlain.The trio then discuss in detail the future of Spurs manager Igor Tudor, the big red flags he's showing as Tottenham boss & why they are now the favourites for relegation out of Leeds, Forest & West Ham.Tim, Jason & Natalie then chat about Liverpool's links to Spurs defender Micky Van der Ven, Why Salah's leadership skills shows that he isn't the issue at Liverpool & why the pressure is still on Arne Slot despite winning their last 4 games.Tim & Jason then discuss where Mo Salah ranks amongst the Liverpool greats, who makes up his top 5 greatest Liverpool players of all time and which player had the best individual one season in Liverpool's history.They then talk about why teams outside of the traditional 'big 6' are disrespecting the FA Cup after Fulham & Sunderland made changes before their FA Cup exits before debating is Joao Pedro an elite forward alongside Haaland, Kane & Mbappe.Jason then gives an honest answer when asked about his old trigger nickname in football and why he's wanted to fit in at Liverpool having started his career in non-league before now having a masters degree.Finally we end the pod with Tim & Jason saying who they believe will be the managers of Liverpool, Manchester United, Manchester City, Tottenham & Chelsea on the first game of next season before Jason tells the story of how he reconciled with former Ireland teammate Jason McAteer.

JOIN OUR PATREON FOR HEAPS OF BONUS STUFF⁠ ⁠ROT... Harry has some HR complaints against the guys. Josh dropped 50 at social basketball. Giorgio asks a massive favour of Josh & Harry. Schemes: Free Netflix, free glasses, & a free Maxi Taxi. Harry got scammed by a friendly scammer. Google Reviews: Things are heating up in the Middle East. GATHER ROUND REVERSE RAFFLE TICKETS HERE⁠⁠⁠ ⁠⁠⁠⁠⁠PLANE & BEER HATS HERE⁠⁠⁠⁠⁠⁠⁠⁠⁠ Revo Raffle – April 2026 Major Draw NSW Authority TP/04006, SA Licence T26/170. Images used to portray prizes are for display purposes only and may not depict exact prize detail. Minimum prize value $50,000 (cash) or $68,698 (car). All Eligible Win Win Club Members (as defined in the T&Cs) at 11:59pm (local time) on 19/04/26 (End Date) will be entered into the draw. Drawn on 22/04/26 at 12:00pm AWST at Suite 8, Level 2, 216 Stirling Highway, Claremont WA. Winner's name and postcode will be published on Revo Fitness' website and Instagram by 22/05/26 . To be eligible to win, entrants must be at least 18 or provide parent or guardian consent, live in NSW, SA, VIC or WA and be an Eligible Win Win Club Member from the End Date to the date the prize is drawn (inclusive). Full T&Cs available here: www.revofitness.com.au/terms

JOIN OUR PATREON FOR HEAPS OF BONUS STUFF GATHER ROUND REVERSE RAFFLE TICKETS HERE⁠⁠ SPORT: George Russell's performance coach ON THE POD. Confronting CHEATERS at Sunday Trivia. Happy IWD to all the brilliant women in our lives. Pour one out for Pornhub. Josh's Uber driver impressions. Sorry G, we forgot your birthday. AFL Round Zero is SH*T! Nuffies: Stuart MacGill cracks it, Sam Newman learns about 6-7. College basketballerss are now RICH. ⁠⁠⁠⁠PLANE & BEER HATS HERE⁠⁠⁠⁠⁠⁠⁠⁠⁠ Revo Raffle – April 2026 Major Draw NSW Authority TP/04006, SA Licence T26/170. Images used to portray prizes are for display purposes only and may not depict exact prize detail. Minimum prize value $50,000 (cash) or $68,698 (car). All Eligible Win Win Club Members (as defined in the T&Cs) at 11:59pm (local time) on 19/04/26 (End Date) will be entered into the draw. Drawn on 22/04/26 at 12:00pm AWST at Suite 8, Level 2, 216 Stirling Highway, Claremont WA. Winner's name and postcode will be published on Revo Fitness' website and Instagram by 22/05/26 . To be eligible to win, entrants must be at least 18 or provide parent or guardian consent, live in NSW, SA, VIC or WA and be an Eligible Win Win Club Member from the End Date to the date the prize is drawn (inclusive). Full T&Cs available here: www.revofitness.com.au/terms

Season 5 is here and… we might already be losing control.We are back with a brand new season, upgraded podcast setup, same old shenanigans.In this episode we look ahead to some of the biggest events coming in 2026, including major movies, sporting events, and the huge J Cole concert coming to Johannesburg. But as usual… the conversation goes completely off the rails.Things get especially interesting when Rizaan channels his inner Bridgerton and somehow turns Google Maps into one of the funniest moments of the episode.We're also introducing two brand new segments this season:

The cards you're dealt matter far less than what you do with your emotions when you pick them up. In this episode of The Game Changing Attorney Podcast, Michael Mogill sits down with Tiffany Michelle, world-class poker player, ESPN commentator, and one of the most recognizable faces in professional poker, to unpack what the game reveals about decision-making, emotional regulation, and how leaders can compete at the highest level. Tiffany brings the mindset of a champion to a conversation about the hidden cost of letting your emotions drive your strategy at the table and in your firm. Here's what you'll learn: Why emotional regulation, not talent or luck, is the single greatest separator between good players and great ones, and what that means for how you lead your firm How to make confident decisions when you're operating with incomplete information, high pressure, and no time to think What the 3 Cs of high performance (Clarity, Competitive Edge, and Calibration) look like in practice for attorneys navigating a high-stakes career If you want to stop letting your emotions cost you the hand, this episode is your playbook. ---- Show Notes: 02:17 – Tiffany shares how her grandfather taught her poker as a kid and why competing against her brothers lit a competitive fire that never went out. 05:35 – What actually separates good players from great ones, and why emotion regulation is the skill most people underestimate. 08:53 – Why the best players think 20 levels deep while most are still playing the surface, and how that gap shows up in every high-stakes decision. 13:45 – How to make confident decisions with incomplete information, combining what is automatic, what is analytical, and what is instinctual. 18:14 – Why great results do not always reflect great decisions, and how to reverse-engineer your process instead of just chasing outcomes. 23:07 – Tiffany's 3 Cs framework, Clarity, Competitive Edge, and Calibration, and how to apply them to your career and firm. 28:07 – How she stayed mentally locked in at the 2008 World Series of Poker with 27 players left, a fresh breakup, and $9 million on the line. 31:25 – Decision fatigue unpacked: why the problem is not thinking too much but treating every decision like it deserves the same weight. 42:35 – Looking back at the 2008 main event and the one thing she would have done differently, asking for help sooner. 52:49 – What being a game changer means to Tiffany, and why the biggest wins come from stepping boldly into uncertainty rather than waiting to feel ready. ---- Links & Resources: Tiffany Michelle World Series of Poker Thinking in Bets by Annie Duke Chris Moneymaker Daniel Negreanu Phil Hellmuth ---- Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 334. Dr. Benjamin Hardy — From Limiting Beliefs to Limitless Potential: A Guide to Personal Growth 161. Joe De Sena — The Spartan Mindset: Embracing Discomfort and Unleashing Mental Toughness 71. Tim Grover — Winning: The Unforgiving Race to Greatness

(00:00) Toucher and Hardy react to listeners' submissions for the new Thuppets theme song. (14:30) Toucher and Hardy are joined by The Athletic's Jay King to talk about Tatum's return and the current state of the Cs. (31:18) Toucher and Hardy provide an update recent news in the NFL Please note: Timecodes may shift by a few minutes due to inserted ads. Because of copyright restrictions, portions—or entire segments—may not be included in the podcast.For the latest updates, visit the show page on 985thesportshub.com. Follow 98.5 The Sports Hub on Twitter, Facebook and Instagram. Watch the show every morning on YouTube, and subscribe to stay up-to-date with all the best moments from Boston's home for sports!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In a change from the usual format, Matt Davies-Adams, Adrian Clarke and Sam Parkin predict what's going to happen between now and the end of the season across The Championship, League One and League Two, from most likely to cruise to promotion, to most likely to blow it as well as surprise relegation candidates, player of the year winners and plenty more besides.Our partners Quinn Bet have an offer: you can get 50% back up to £25.  If your account has Sportsbook losses at the end of your first day's betting, QuinnBet will refund 50% of your losses as a Free Bet up to £25 (min 3 bets). Even if your account is up, you're guaranteed a £5 Free Bet provided you place at least 1 bet of £10 or greater at the minimum odds. T&Cs apply | 18+ New UK Customers Only | GambleAware.org | Gamble Responsibly” https://quinnbet.click/o/L5trHE?lpage=T4KU20

Dabble is the sponsor of Pitch Side! Be sure to check out their UNREAL offers here: https://click.dabble.com/NeOH/q1s6chwq18+ Gambleaware.org #AdNew episodes available to watch & listen EVERY DAY.Click HERE: https://linktr.ee/pitchsidepodcastIf you'd like to work with us, email the studio onworkwithpitchside@fellasstudios.comProduced by The Fellas Studios: https://fellasstudios.com/podcastsTheo:https://youtube.com/c/HiMalfoyhttps://youtube.com/c/TheoBakerVlogsReev:https://youtube.com/c/reevhttps://youtube.com/c/OllieFletcherTom Garratt:https://www.youtube.com/@TomGarratt10Lewis Bowden:https://www.youtube.com/@lewisbowden1Dabble T&Cs:£10 in Free Bets Welcome Offer: https://helpdesk.dabble.co.uk/en/articles/11468007-10-in-free-bets-welcome-offer£10 in Free Bets Referral Offer: https://helpdesk.dabble.co.uk/en/articles/11468017-10-in-free-bets-referral-offer

Antes de Newcastle começar a pegar fogo e revelar as caras novas, além de alguns retornos à elite mundial, o Boia realizou a prometida segunda parte da conversa com Fred D'Orey.No elenco do banquete auditivo saiu João Valente (em ação na transmissão do CS) e voltou Bruno Bocayuva, com o incansável Julio Adler, nas carrapetas.A viagem partiu dos anos 1980, com a saída de Fred das competições e o deslumbramento com a Indonésia; passou pelas aventuras editoriais, do Surf News/Staff até a Fluir, e aportou no presente, com a busca por diversão na água com pranchas diferentes e a torcida pelos brasileiros nas ondas da Liga Mundial.Na trilha sonora embarcaram: Bobby Womack, com Across 110th Street, We Can Get Together dos aussies do Icehouse e Day of the eagle do guitarrista Robin Trower.Tem promoção e desconto no Maxime!

(00:00) Toucher and Hardy recap their weekends. Fred reviews his latest trip to the movies where he saw Hoppers. (22:03) The guys discuss what the Patriots best option is at receiver. The Bruins blew a 3-0 lead to the Penguins last night. (34:56) Toucher and Hardy talk about the Celtics weekend, including Jayson Tatum's return and the Cs road win in Cleveland. Please note: Timecodes may shift by a few minutes due to inserted ads. Because of copyright restrictions, portions—or entire segments—may not be included in the podcast.For the latest updates, visit the show page on 985thesportshub.com. Follow 98.5 The Sports Hub on Twitter, Facebook and Instagram. Watch the show every morning on YouTube, and subscribe to stay up-to-date with all the best moments from Boston's home for sports!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Ali Salomon Ziesler, CS, from Park City, Utah, USA

Send a textImagine a teammate who never sleeps, never burns out, and never forgets a playbook. That's the promise of modern AI agents, and we brought on Daniel Hindi, founder and CEO of Noem.ai, to unpack how teams move beyond clunky chatbots and into human-like, action-taking systems that actually sell, support, and scale.We start with the pain: SDR and CS turnover, endless retraining, and leaders dragged into low-leverage work. Daniel explains how agents flip the script—acting like a concierge that understands intent, personalizes paths, and executes tasks. Not just “here's a link,” but real actions: adding a lead to your CRM, sending a password reset, booking a call, or escalating a VIP with crisp context. The result is a smoother customer journey, faster resolutions, and humans freed up for deep work—discovery, expansion, and relationships.From there, we get tactical. Daniel breaks down the difference between chatbots and agents (autonomy and tooling), why build-vs-buy matters when AI changes weekly, and where ROI shows up first: conversion lifts from existing traffic, multilingual reach, and instant responses across web, SMS, WhatsApp, and social. We cover the hidden metric most teams miss—executive time—and how weekly sentiment and “state of the union” reports turn raw conversations into clear moves. Plus, a candid look at rollout failure modes, eliminating ambiguity in your briefs, and using training gaps to permanently strengthen SOPs.Getting started is fast: ingest your site, set clear goals and guardrails, integrate with your stack, and let the agent cook. Pricing scales with usage, not hype, so you can test without breaking the bank and expand as results compound. If you're ready to replace IVR-style friction with hospitality at scale—and give your team the headspace to grow—this conversation is your roadmap.If this episode hits a nerve, share it with a founder or operator who's stuck in the weeds, subscribe for more brand-building plays, and leave a review with the one task you'd offload to an AI agent first.Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com. And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/ See you next time on Follow The Brand!

Mikey and Buck break down the 2026/27 CS changes, Stace and Vaughan Blakey preview the final event of 2025/26.

Welcome to the new era of Motherkind. This is a new chapter. More intentional. More expansive. The conversations are deeper, the guests are bold, and the ambition is clearer. We're now video-first, which means you can watch every full episode on ⁠YouTube⁠. I'd love you to subscribe and join us in this next season of Motherkind. If you're ready to think differently about ambition and motherhood, you're in the right place. Confidence isn't a personality trait — it's a skill. And it can be rebuilt faster than you think. In this practical, empowering solo episode, Zoe shares the simple shifts that helped her go from losing all her confidence in early motherhood to feeling stronger and more self-assured than ever. After interviewing hundreds of experts and writing extensively on confidence, Zoe breaks down the tiny daily habits that genuinely move the needle — no fluff, no toxic positivity, no “bounce back” pressure. Because confidence doesn't come from massive life overhauls. It's built through small, repeatable actions that compound over time. In this episode, Zoe shares: . Why comparison quietly destroys confidence — and how to stop doing it . The subtle language habits that make you feel smaller (and what to say instead) . How setting boundaries strengthens self-worth . The powerful body-language trick backed by social psychology . Why celebrating tiny wins rewires your brain for confidence These are micro-habits you can start today — in the next hour — that will create lasting change over the months ahead. If you've been feeling less confident since becoming a mother, this episode is your reminder: You're not broken.You don't need fixing. You just need tools that actually work in real life. Watch every full episode on ⁠YouTube⁠ and subscribe  Loved this episode? Follow or subscribe so you never miss an episode of Motherkind. It helps more mothers find the show and keeps our community growing. You might also enjoy Zoe's conversation with ⁠Mel Robbins⁠ on how motherhood reshaped her confidence and the tools that changed everything. Feeling different since becoming a mother? Get clarity on who you're becoming now and download your ⁠FREE Matrescence Cheat Sheet⁠ Connect with Zoe: Follow Zoe on ⁠Instagram ⁠ Get Zoe's Sunday Times bestselling book, ⁠'Motherkind: A New Way to Thrive in a World of Endless Expectations'⁠ This Motherkind episode is sponsored by: Headline sponsor Wild Nutrition, the brand raising the bar for women's supplements. Want to feel the Food-Grown difference yourself? Get 50% off for three months at ⁠wildnutrition.com/motherkind⁠. Ts and Cs apply. Start your children's reading journey with⁠ Usbourne Books⁠ For a £100 sponsored job credit, visit ⁠Indeed.com/ Motherkind⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week we are joined by former Sunderland, Newcastle and Nottingham Forest midfielder Jack Colback… and there's plenty to get into. From coming through the ranks at Sunderland to making the controversial move across the Tyne to Newcastle United, Colback opens up about what really happened behind the scenes and how the decision went down in the North East. There's also plenty of chat about life under the famously intense Paolo Di Canio, whose strict rules and military-style management left more than a few players scratching their heads. Going into his time at Nottingham Forest he witnessed first hand how Marinakis runs and the crazy turnover of players who came in and out of Forest. This show is sponsored by Talksport Bet Get £40 in FREE BETS at http://talksportbet.com/utc when you bet £10 18+ gambleaware.org T&Cs apply

This episode is brought to you by Alma. Visit https://helloalma.com/dg/?utm_source=podcast&utm_medium=paid&utm_campaign=privatepractice to learn more Get the Couples Therapy 101 course: https://www.couplestherapistcouch.com/ Join the Couples Therapist Inner Circle: https://www.couplestherapistcouch.com/inner-circle-new Join The Couples Therapist Couch Facebook Group: https://www.facebook.com/groups/295562197518469/ In this solo episode, Shane shares the 4 Cs in relationships. Hear the common patterns couples get into, how to have compassion for each partner's reality, how to help your clients keep curiosity in their relationship, why it's okay for couples to disagree with each other, and what to say to your clients regarding each of the 4 Cs.

Cheltenham Festival Day 2 Betting Guide with our panel of Emmet Kennedy, Adam Mills, Andy Newton, Peter Michael and Aidan O'Hara preview every race on Day 2 of the Festival, sharing their best bets for Wednesday. From the opening Turners Novices' Hurdle to the future stars in the Champion Bumper, the team break down the full card with strong opinions, lively debate and the usual Final Furlong craic. Along the way, the panel reveal their NAPs and next best bets, including selections priced up to 25/1.

AI agents are changing how businesses operate. Daniel Vassilev has raised $42 million to scale his company, Relevance AI, which is already helping some of the world’s largest private companies automate entire teams. I sat down with Daniel to unpack what this shift actually means for businesses and for the workforce, and the practical advice on how people can use AI agents to grow their business. In this conversation we discuss: • How AI agents could eliminate up to 50% of go-to-market tasks by 2026 • Why businesses will soon recruit AI agents the same way they recruit employees • The four levels of AI autonomy every business will experience • Real examples of companies automating BDR and customer success teams • Why software engineering is the first proof that AI will transform knowledge work • How to identify which business processes to automate first • The change management strategy that actually works You can subscribe to the Mentored newsletter here: https://mentored.com.au/newsletter-sign-up Join the Facebook Group. Follow Mark Bouris on Instagram, LinkedIn & YouTube Claim $500 Bitcoin with OKX SMSF. SMSF trustees: Successfully sign-up your SMSF and getverified for an OKX SMSF trading account. Deposit $5 and receive $500 worth of Bitcoin. Eligibilityrequirements and T&Cs apply. Book a 1-1 call with the OKX SMSF team today for guidance. Offer ends 31 March 2026.See omnystudio.com/listener for privacy information.

Lifestyle and Pro Domme, Alice Skary, talks about her fetish journey, how she started producing fetish content and shares some hilarious stories regarding messing, ABDL, bum insertions and more! Listen to her past podcast on being the JustforFans Director of CS and model outreachFollow Alice Skary on Twitter and her youtube channel! https://www.youtube.com/@AliceSkary

Fresh off the absolute victory for the Greens in Gorton and Denton, Ed Balls and George Osborne debate whether the betting markets - which accurately predicted the results - are reliable forecasters in elections in this week's EMQs. George ponders if, unlike official polling, it might be possible to influence the odds in your favour? Fellow ex-MP Gyles Brandreth asks the brutally honest question: did their careers peak when they were politicians? Despite all their success in podcasting and elsewhere, was being in government the best days of their lives? The pair debate the idea which ends up causing them to reminisce about Michael Gove's dog and a chicken named Gordon.Finally, Mayor of York and North Yorkshire David Skaith asks the best way a mayor can promote growth in their region, particularly one as rural as his. After offering David some useful ideas, the pair wander down a Wuthering Heights tangent and Ed gifts listeners with his slightly dubious Kate Bush impression. David also asks Ed for some personal advice on being a public figure with a stammer. We love hearing from you, so please don't forget to send all your EMQs to questions@politicalcurrency and make sure to include a voice note of your question.This podcast is sponsored by Chip. Join 400,000 customers building long term wealth. Also Chip have agreed that just for our listeners, for your first £10,000 deposited into Chip before midnight 20 March 2026, they'll give you a Fortnum & Mason hamper after holding it for 90 days - just head to getchip.uk/politicalcurrency.T&Cs apply, you must be a new Chip customer, over 18, a UK tax resident, and it's app only. Chip is a trading name of Chip Financial Limited. Savings products are provided by Clearbank and are protected up to the FSCS limit. When investing, your capital is at risk.Thanks for listening. To get episodes early and ad- free join Political Currency Gold or our Kitchen Cabinet. If you want even more perks including our exclusive newsletter, join our Kitchen Cabinet today:

Cheltenham Festival is finally here, and our panel of Emmet Kennedy, Adam Mills, George Gorman, Andy Newton and Peter Michael preview every race on Day 1 of the Festival, sharing their best bets for Tuesday. From the opening Supreme Novices' Hurdle to the staying test of the National Hunt Challenge Cup, the team break down the full card with strong opinions, plenty of debate and the usual Final Furlong craic. Along the way, the panel put forward their NAPs and next best bets, including selections priced up to 20/1.

A wild weekend of Six Nations action has ended with Scotland putting 50 on France and Italy beating England for the first time ever. Ben Youngs and Dan Cole analyse what happens now in a breathless championship.

Ireland defeated a spirited Welsh side in the first match of round 4 of the 2026 Men's Six Nations, but the name on Dan Cole's lips is tearaway loosehead prop Rhys Carré who thundered over for the moment of the championship.

Ready to churn less and win more?

On February 17, nine backcountry skiers were taken by an avalanche at Frog Lake, in the Northern Sierra Nevada near Truckee, California. Since then, the sense of loss and confusion over what happened has been overwhelming. This accident has impacted everyone in the Truckee and Lake Tahoe community on some level. Because of pending investigations, there are so many unanswered questions that will remain unanswered for a long time.As the community struggles to understand, people around the world continue to die in avalanches, including our friend, Stratton Matteson, who was taken by an avalanche in British Columbia a week after the Frog Lake accident. A gut punch made worse by finding out only minutes after we recorded the recap of our trip to Frog Lake. A trip to Frog Lake ending only 48 hours before the accident. Losing Stratton as we recorded made us realize it was too early to share. We needed more time to look inward and reflect.This episode is our second attempt, focused on the realizations we've had in the 18 days since the incident, and what we can all personally do to honor the lives lost, as well as move forward with compassion and a commitment to being safe and making smart decisions every time we step into the backcountry.We send our deepest sympathies to everyone involved in this tragic accident, and we encourage you to consider making a contribution to Tahoe Nordic Search and Rescue. We also urge you to not forget the names of those lost: Carrie Atkin, Lizabeth Clabaugh, Danielle Keatley, Kate Morse, Caroline Sekar, Katherine Vitt, Nicole Choo, Andrew Alissandratos, Michael Henry. 2:10 – 75 percent of this winter's snow came from 2 storms.8:00 – Reflecting on the moments leading up to the avalanche near Frog Lake on February 17.9:00 – Being pulled into the media frenzy in the hours after the avalanche.10:20 – Why we decided to speak up to the media about the avalanche.11:30 – The major red flag: the snowfall forecast.15:35 – Trail Whisperer issues an apology to families of the victims regarding our story in the New York Times.18:50 – The 8 Cs of dealing with a community tragedy.22:30 – The culture of judgement of avalanche accidents in the U.S.27:00 – Tom's sobering realization skiing on the Tuesday of the avalanche.32:15 – It's ok to not travel on high avalanche danger days.35:00 – Pow Bot shares his revelations from soul searching after the accident.37:20 – The Normalization of Deviance42:45 – Reviewing the Sierra Avalanche Center report of the avalanche below Perry's Peak.49:45 – Reviewing the human factor in avalanches from Bruce Tremper's book, Staying Alive in Avalanche Terrain.53:50 – Accountability – know what you're stepping out into, even if you are with a guide, and don't be afraid to speak up.55:40 – Planning around safety and implementing processes to eliminate group think.59:50 – Knowing your team, their specialties and how you can leverage them.1:02:20 – “Stick with the plan” versus “sick with the plan” and establishing the leader.1:04:35 – The importance of the debrief at the end of the day.1:06:10 – Matteo – East Coast Matt – calls in on the COR LORD hotline.1:08:20 – DOPE OR DERP – East coast backcountry skiing.1:09:30 – The importance of hiring a guide to help you learn the backcountry.1:12:00 – The assumption of risk and respecting people's differing levels of risk.1:13:50 – The boys get fired up for their trip to Ice Creek Lodge in British Columbia, Canada.1:18:00 – Honoring the life of Stratton Matteson – a legend taken way too early.1:22:50 – The funny story of Pow Bot's incident command rescuing a family member.

Today, David Charlton explores a powerful but often misunderstood dynamic in sport: the highly confident coach working with an athlete who lacks confidence in their ability. At first glance, this combination might appear positive. A confident leader should inspire belief and clarity. However, when the balance isn't right, the relationship can unintentionally increase anxiety, self‑doubt and disengagement for the athlete. Drawing on Albert Bandura's concept of self‑efficacy and Sophia Jowett's 3+1 Cs coach–athlete relationship model (closeness, commitment, complementarity and co‑orientation), David explains why perception inside the relationship is crucial. Low‑confidence athletes often interpret blunt feedback or high standards as confirmation that they are not good enough. Without awareness, confident coaching can therefore widen the psychological gap rather than close it. David shares practical ways coaches can adapt their approach to create psychologically safe environments where confidence can grow. From shifting towards process goals and asking better questions, to recognising quiet athletes and building ownership, this episode offers practical strategies for coaches who want to support athletes more effectively. Ultimately, great coaching combines high standards with empathy, awareness and strong relationships so athletes feel safe to try, safe to fail and supported to learn. >> Key Takeaways ·         Confidence from a coach doesn't automatically create confidence in an athlete, without awareness it can increase anxiety. ·         Low self‑efficacy athletes often interpret criticism as proof they don't belong, which can lead to avoidance and disengagement. ·         Strong coach–athlete relationships built on trust, communication and psychological safety help confidence grow. If you enjoyed this episode, check out the other parts of this mini-series on the coach-athlete relationship and it's connection with Mental Toughness: Ep307 - Achievement Orientation: When Coaches and Athletes Think Differently Ep306 - Goal Orientation: When Coaches and Athletes Think Differently Ep305 – Emotional Control: When Coaches and Athletes Think Differently Ep304 – David Charlton - Life Control: When Coaches and Athletes Think Differently Connect with David Charlton ·         Sign Up To The Mental Edge ·         Join David @ The Sports Psychology Hub ·         LinkedIn

(00:00) Toucher and Hardy discuss some recent findings in the news. (14:50) Toucher and Hardy are joined by The Boston Globe's Gary Washburn to talk about the Cs and an impending Jayson Tatum return. (31:49) Toucher and Hardy talk about Makai Lemon's curious combine interview. Please note: Timecodes may shift by a few minutes due to inserted ads. Because of copyright restrictions, portions—or entire segments—may not be included in the podcast.For the latest updates, visit the show page on 985thesportshub.com. Follow 98.5 The Sports Hub on Twitter, Facebook and Instagram. Watch the show every morning on YouTube, and subscribe to stay up-to-date with all the best moments from Boston's home for sports!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome to the new era of Motherkind. This is a new chapter. More intentional. More expansive. The conversations are deeper, the guests are bold, and the ambition is clearer. We're now video-first, which means you can watch every full episode on YouTube. I'd love you to subscribe and join us in this next season of Motherkind. If you're ready to think differently about ambition and motherhood, you're in the right place. To open this new season, Zoe sits down with Maria Hatzistefanis, founder of Rodial and Nip + Fab, for a powerful conversation on discipline over motivation, burnout, guilt, and why hustle culture is failing mothers. Maria built her business over 25 years without external funding, without selling out, and without buying into hustle culture myths. But behind the glossy success was burnout, guilt, lost friendships, imposter syndrome and discipline most people never see. This conversation is honest, practical and deeply reassuring for any mother navigating ambition and family. Inside this episode, you'll hear: . Why “overnight success” is a dangerous myth . How motherhood made Maria a better, not weaker, leader . The season she had no friends, and what she'd do differently . The simple two-question filter she uses before saying yes . Why discipline builds confidence (not the other way round) . How to start a business in just 30 minutes a day . Why guilt is the biggest drain on your energy and how to drop it Maria also shares the mindset from her latest book, How to Make Your First Million, including her practical framework for managing time, building powerful networks, and creating sustainable success that works alongside family life, not against it. This is a conversation about ambition without apology. About building slowly, intentionally and sustainably. And about redefining success on your own terms. If you've ever wondered: Can I build something meaningful without burning out? This episode is for you. Remember to subscribe to Motherkind — it helps more mothers find the show and keeps our community growing. Feeling different since becoming a mother? Get clarity on who you're becoming now and  download your FREE Matrescence Cheat Sheet Connect with Zoe: Follow Zoe on Instagram  Watch every full episode on YouTube and subscribe  Get Zoe's Sunday Times bestselling book, 'Motherkind: A New Way to Thrive in a World of Endless Expectations' This Motherkind episode is sponsored by: Headline sponsor Wild Nutrition, the brand raising the bar for women's supplements. Want to feel the Food-Grown difference yourself? Get 50% off for three months at wildnutrition.com/motherkind. Ts and Cs apply. Start your children's reading journey with Usbourne Books For a £100 sponsored job credit, visit Indeed.com/ Motherkind Learn more about your ad choices. Visit podcastchoices.com/adchoices

With the Cheltenham Festival just around the corner, we take a different approach to the formbook by diving into RaceiQ data with Racing TV analyst Page Fuller. RaceiQ uses GPS tracking technology to measure performance metrics such as jumping efficiency, stride length, entry speed into obstacles, and finishing sectionals, offering a completely different perspective on how horses perform in top-level races. Page joins Emmet Kennedy to analyse the key metrics behind the leading contenders for the biggest races at Cheltenham, highlighting the performances that stand out in the data and identifying the horses whose numbers suggest they could have a major impact at the Festival. Page has produced Racing TV's Cheltenham Festival RaceiQ data pack covering all 13 Grade 1 races. The aim isn't tipping winners, but identifying the performances and metrics that stand out in the data and understanding what they may tell us about how these races could unfold.

Defending Champion Hurdle winning trainer Jeremy Scott joins Emmet Kennedy as the remarkable Golden Ace prepares to return to the Cheltenham Festival in a bid to defend her crown. Scott reflects on Golden Ace's dramatic victory last year, charting the journey from a small Exmoor yard to the summit of National Hunt racing. He explains why he believes the mare arrives at Cheltenham in even better shape this time around and how her preparation has gone ahead of the Festival. The conversation also explores the key rivals in what promises to be a wide-open Champion Hurdle and what it would mean to join the elite group of horses who have managed to win the race more than once. Jeremy also shares two handicappers he believes are worth following at the Festival, offering valuable insight for punters searching for an edge during Cheltenham week.

Choose Your Hard: Building A Real Estate Pipeline by Picking the Right Clients (FOR YOU)Watch the full video replay: https://youtu.be/w1fqn1Jb0OIWe dive into a coaching conversation about the “Cs” of getting paid in real estate and emphasizes the most important step: choosing who to do business with. After a lead sends a negative text, the speaker explains that agents can control their pipeline by selecting the niche and outreach list that fits their goals—expired listings, absentee owners, senior owners, circle prospecting, vacant land—and by tailoring “bait” to current buyers. Using LeadDeck.ai and start by making a spreadsheet of active buyer clients, while noting institutional cash offers are just a framework to help agents reach out when they lack a database. Every model (or niche) is hard on some level, so agents must “choose their hard,” stay skilled in conversations, and commit, especially since NAR data cited shows most agents close nine or fewer transactions.The MOST POWERFUL Motivated Seller & Cash Buyer Software! Check it out at https://LeadDeck.AI

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Paul Ferguson, author of the Weatherbys Cheltenham Festival Betting Guide, joins Emmet Kennedy alongside Total Performance Data's Adam Mills for a Cheltenham Festival Handicaps Special presented by 1xBet Ireland. This episode focuses on eight of the most competitive and potentially rewarding races of the week, highlighting the key horses to include in your shortlists, along with several big-priced selections that could make a difference during the Festival. Paul and Adam also put forward their leading bets, including an 8/1 NAP and a 6/1 NAP, as they break down where they see the strongest opportunities across the handicap programme.

Most entrepreneurs build their companies without thinking about the day someone might buy them.That's a huge mistake.Mark Sims joins Neil to break down the 5 Cs framework used by buyers and private equity firms to evaluate businesses. From competitive positioning to clean financials, from cash conversion cycles to operational capability, this conversation explains what actually drives valuation when a buyer looks at your company. If you want to build a business that sells, not just a job that pays you, this episode shows what serious buyers look for and why so many companies fail during due diligence.In This Episode, We Cover✅ The 5 Cs Framework for Business Value Mark breaks down the five factors buyers evaluate when looking at a company: competitive positioning, capability, cash conversion cycle, clean financials, and concentration risk. These elements determine how attractive a business is to investors and acquirers.✅ Competitive Positioning and Pricing Power Where your company sits in the market matters. Businesses with clear differentiation gain pricing power, stronger margins, and protection from commoditization.✅ Why Owner-Operator Businesses Struggle to Sell If the entire business depends on the founder, buyers see risk. Companies with documented systems, capable teams, and operational structure become far more attractive acquisition targets.

Handwritten notes aren't old school. They're the edge in a world drowning in automation.In this episode of Uncomplicate It, I sit down with David Wachs, Founder & CEO of Handwrytten (a company using robotic tech to scale real pen-and-ink handwritten outreach), to talk about how brands can bring humanity back into business communication without sacrificing scale.David is a two-time Inc. 500 entrepreneur with decades in marketing. After running a high-volume text messaging company, he realized the most powerful way to stand out wasn't another digital message, it was a note people actually keep.We cover:Why David walked away from mass digital communication and doubled down on handwritten notesThe 5 Cs framework for outreach: content, channel, cadence, choice, and communityWhy most brands over-measure short-term ROI and underinvest in long-term loyaltyThe difference between personal vs personalized (and why mail-merge doesn't build trust)The consumer appreciation drop: 18% in 2022 → 12% in 2025 and what that signalsWhere handwritten notes actually work best in the customer journey (retention > acquisition)Why gimmicky marketing backfires (and the “video screen in a card” story)The numbers: 300% higher open rate than print mail and up to 17x higher response rates in certain industriesHow Handwrytten's system works: handwriting samples, ligatures, randomization, QA via computer vision, envelope stuffing, and stampingThe real rule of automation: scale the logistics, not the sentimentKey Takeaways:The least-used, most undervalued inbox is still the one at the end of your drivewayLoyalty isn't built with coupons, it's built with how you make people feelCustomer service follow-ups are one of the fastest ways to turn frustration into trustGratitude only works when people feel thanked, not when it's just a checkboxWrite to five clients this week. Or call them. That's how relationships compoundConnect with David:Handwrytten - www.handwrytten.comLinkedin - www.linkedin.com/in/davidwachs/Follow Us:

We've seen the brand new series of Drive to Survive and have PLENTY of opinions! And no, not just on how many times Tommy was featured instead of Matt.So let's break down the good, the bad and the Zach Brown radio messages of the brand new season!Sign up to our Patreon! You'll get access to every P1 episode ad-free, extended versions of every 2026 race review, early access to tickets & merch, and access to our Discord server where you can chat with us and other F1 fans! Click here to sign up now: http://patreon.com/mattp1tommyThis episode is sponsored by The AA, the UK's No.1 breakdown provider. It's OK with the AA, they're the fastest major breakdown provider with more patrols up and down the country, 24/7, 365 days a year. So, if you want that peace of mind and be back on the road in no time - Join today at www.theaa.com/P1 T&Cs apply. Verify claims at theaa.com/bestFollow us on socials! You can find us on Twitter, Instagram, Twitch, YouTube and TikTok. Hosted on Acast. See acast.com/privacy for more information.