Podcasts about Replicate

Ben Criddle talks BYU sports every weekday from 2 to 6 pm.Today's Host: Ben Criddle (@criddlebenjamin) and Co-Host: (ronthe3manweav)Subscribe to the Cougar Sports with Ben Criddle podcast:Apple Podcasts: https://itunes.apple.com/us/podcast/cougar-sports-with-ben-criddle/id99676

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

'India is not alone in encountering this dynamic, but its high oil import dependence and increasing energy demand render its exposure particularly significant.' Watch Bidisha Bhattacharya, Associate Fellow, Chintan Research Foundation, explain in #ThePrintEconomix

Mike and Rico hear from a few of the people on the Bears' aggressiveness and whether the Lions need to do the same.

JJ & Alex with Jeremiah Jensen and Alex Kirry on March 4, 2026. Mike Folta, Utah Mammoth Radio Play by Play Utah Jazz at Philadelphia 76ers Would You Rather? Jonathan Tavernari, former BYU basketball forward + MORE

Hour 1 of JJ & Alex with Jeremiah Jensen and Alex Kirry. Mike Folta, Utah Mammoth Radio Play by Play Utah Jazz at Philadelphia 76ers Would You Rather?

Check out the Weekly Top Leadership Links list. And we have a special 2 guest conversation with Robby Gallaty and Vick Green, co-authors of the new book Movement Ready Church. Robby is senior pastor of Long Hollow Church in the Nashville area, and author of multiple books and one of the leading voices in America on discipleship and disciple making. Vick is the CEO of Replicate Ministries, along with a strategic advisor, coach and consultant to pastors and churches nationwide. Make sure to visit http://h3leadership.com to access the full list and all the show notes. Share them with your team, repost the lists, and follow and subscribe. Thanks again to our partners for this episode: COME and SEE FOUNDATION – reaching a billion people with the story of Jesus. Visit http://comeandseefoundation.org. Come and See Foundation is on a mission to ensure that all 7 seasons of The Chosen are produced, translated into 600 languages, globally distributed, and kept FREE for all. From Michigan to Madagascar, people are encountering Jesus through The Chosen, Join Come and See in inviting a billion people to find and follow Jesus. You can play a supporting role in introducing the world to Jesus. Lean more and get involved at http://comeandseefoundation.org. And REGENT BANK - connect with the team at https://www.regent.bank/.  Regent Bank is one of the fastest-growing financial institutions in the country, uniquely positioned as a faith-based bank with a clear purpose: "To show God's love to employees, clients, and communities." Regent Bank stands out with both a dedicated prayer team and a specialized department focused exclusively on serving faith-based organizations, where all nonprofit clients are offered completely free banking services, along with highly competitive interest rates and access to specialized support across multiple financial areas. Find out more at http://regent.bank.

 On the radio show this week, we dive into the importance of protecting democracy from voter suppression efforts. We also hear about the powerful representation and joy we experienced at this year's Winter Olympics -- and how narrative power can shift societal views for women, moms, and our families. Next, we cover the state of OUR union when it comes to maternal health, and the Trump administration's cuts to crucial programs that are worsening the crisis. Finally, we discuss New York state and New York City's historic investments in child care, how you can make victories like that happen where you live.  SPECIAL GUESTS: Rebekah Caruthers, Fair Elections Center, @fairerelections; Jenny Byer & Tina Sherman, MomsRising / MamásConPoder, @MomsRising, @MamasConPoder, @momsrising.org, @mamasconpoder.org; Dede Hill, Schuyler Center for Analysis and Advocacy, @SchuylerCenter

Les and Dave discuss whether David Moyes' habit of choosing his most "trusted" players is damaging team performances and results, before asking whether the manager needs time to build a squad as he has done previously at Everton and, more recently and more successfully, at West Ham.A look at his West Ham record feels very familiar to this version of Everton:2017–18: 13th place (first spell, took over in November and kept them up)2019–20: 16th place (returned mid-season, again stabilised them)2020–21: 6th place (record 65 points, qualified for Europa League).2021–22: 7th place (back‑to‑back top‑seven finishes, Europa League semi‑finals).2022–23: 14th place (struggled in league but won Europa Conference League).2023–24: 9th place (top half again in his final season in charge).We then look ahead to two important games against Newcastle and West Ham. Will Moyes be forced to utilise his squad more? Is defeat against Burnley unthinkable, even if Everton get a result at Newcastle?Let us know your thoughts... Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to the sooner than later next level of false reality...

From '6 Rings & Football Things' (subscribe here): NBC Sports Boston Patriots insider Tom E. Curran joins Dan Bahl, Nick “Fitzy” Stevens, and Ted Johnson to break down Super Bowl 60. They discuss the biggest difference between New England and Seattle, what contributed to Drake Maye's struggles, and whether Seattle showed a blueprint for slowing him down. Plus, Curran explains why he's unsure if Mike Vrabel can ever replicate his 2025 season and discusses what's next for Stefon Diggs and the offensive line. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

From '6 Rings & Football Things' (subscribe here): NBC Sports Boston Patriots insider Tom E. Curran joins Dan Bahl, Nick “Fitzy” Stevens, and Ted Johnson to break down Super Bowl 60. They discuss the biggest difference between New England and Seattle, what contributed to Drake Maye's struggles, and whether Seattle showed a blueprint for slowing him down. Plus, Curran explains why he's unsure if Mike Vrabel can ever replicate his 2025 season and discusses what's next for Stefon Diggs and the offensive line. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Brandon Weichert predicts the next major shift involves pairing reliable AI with accurate robotics to replicate human hands, lowering costs but potentially displacing American workers across manufacturing sectors.1958

NBC Sports Boston Patriots insider Tom E. Curran joins Dan Bahl, Nick “Fitzy” Stevens, and Ted Johnson to break down Super Bowl 60. They discuss the biggest difference between New England and Seattle, what contributed to Drake Maye's struggles, and whether Seattle showed a blueprint for slowing him down. Plus, Curran explains why he's unsure if Mike Vrabel can ever replicate his 2025 season and discusses what's next for Stefon Diggs and the offensive line. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Devendra Fadnavis has Finally Finished them All | Modi Should Replicate DevaBhau Model in All States

-TEXANS NFL DRAFT Predictions are Surfacing! "Houston Texans ON THE CLOCK!" -Will the Texans Be Able to Replicate this ELITE Defense Again..?! -Pups & Poopin' Scoopin'! + Weekend's Best AND Worst Around Sports World!

-THE DRIVE is LIVE from San Francisco on Radio Row! -The Great CJ Stroud CONTRACT EXTENSION Debate! -TEXANS NFL DRAFT Predictions are Surfacing! "Houston Texans ON THE CLOCK!" -Will the Texans Be Able to Replicate this ELITE Defense Again..?! -Pups & Poopin' Scoopin'! + Weekend's Best AND Worst Around Sports World! -Stoerner with a BARRELL-FIRE Hot Take Regarding the H-Town GOAT, JJ Watt! -T-Mil's BEST BET$ for NBA Action Tonight/Monday!$!$

Will they be able to replicate this defense again?!? Does this Texan defense NEED to be this good again next year..? That can't be the plan, right!? Do you see any place of drop off DEFENSIVELY for Houston?

A draw at home to Leeds was another frustrating result at Hill Dickinson Stadium, but can Everton take some positives from Monday night at least? Matt and Paddy assess the changes made by Moyes for the game and whether they were fair.  We also assess the form of Thierno Barry after his fourth goal in five games. Have there been small signs that he is starting to feel at home on Merseyside? And can his progression be a lesson for Tyler Dibling…and maybe even David Moyes? We wrap up on transfers too. What does Jack Grealish's loan mean for his future? And are Everton in a position to complete any deals before the deadline?

aiOla is pioneering speech-to-data technology that transforms unstructured speech into actionable data for enterprise operations. As a serial entrepreneur on his sixth startup, Co-Founder Amir Haramaty built aiOla after witnessing firsthand how traditional AI implementations fail to deliver ROI in enterprise settings. The company has developed proprietary technology that achieves near-100% accuracy in challenging environments with heavy jargon, multiple languages, and difficult acoustics. With strategic investors including a major airline and partnerships with Nvidia, Accenture, and USG, aiOla is addressing the fundamental challenge that 95% of enterprise AI pilots fail to show value by focusing on immediate, measurable ROI through speech-based data capture. Topics Discussed: The genesis of aiOla from consulting work revealing AI's implementation gaps in traditional enterprises Solving the triple challenge of speech recognition: accuracy in jargon-heavy environments, separating signal from noise, and converting speech to structured workflow data aiOla's "jargonic" approach: creating hyper-personalized language models for specific processes without retraining Early customer acquisition through serendipitous encounters and demonstrating immediate ROI Vertical expansion strategy from food manufacturing to aviation, travel, hospitality, and retail Channel partnership strategy refined from previous startups to achieve scale The shift from convincing customers about speech technology to being pulled into diverse use cases Building the aiOla Intelligate orchestration layer to dynamically select optimal speech recognition models GTM Lessons For B2B Founders: Make CFOs your best friend, not IT departments: Amir explicitly targets CFOs rather than IT as primary buyers because "it doesn't matter how small or big you are, you still have to do more with less." While IT serves as facilitators, CFOs control budgets focused on operational efficiency and ROI. B2B founders should identify which executive truly owns the pain point and budget authority, even if IT will implement the solution. Deploy capital strategically to remove obstacles before they emerge: aiOla convinced their airline investor to provide working capital specifically to fund POCs for prospects without existing budgets. This eliminated the "we don't have pilot budget" objection before it arose. B2B founders should proactively identify and neutralize common barriers in their sales process, whether through creative deal structures, proof-of-concept funding, or implementation support. Prioritize instant ROI over long-term transformation promises: Amir explicitly avoids "digital transformation" conversations, instead selecting use cases delivering "biggest impact within shortest period of time with minimum obstacle possible." The airline baggage tracking example saved 110,000 hours immediately, creating momentum for expansion. B2B founders should resist selling comprehensive transformation and instead identify narrow use cases with quantifiable, rapid returns that create internal champions. Replicate proven use cases across customers rather than customizing: Once aiOla achieved success with specific applications like CRM data entry or pre-op inspections, they "stop, print, replicate" rather than reinventing for each customer. This approach reduced a two-hour inspection process to 34 minutes in food manufacturing, then replicated across industries. B2B founders should document successful implementations as repeatable playbooks and resist the urge to over-customize for each prospect. Channel success requires speaking the partner's economic language: When working with telcos, Amir demonstrated that his solution increased ARPU by 34% and reduced churn by 17%—the only two metrics telcos prioritize. He built predictable models showing exactly how many units each channel rep would sell by geography. B2B founders pursuing channel strategies must translate their value proposition into the specific KPIs that drive partner economics and compensation. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The 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

Level Up 168 Forge of the Artificer Hoy Nacho desvaría con Matrix, trabajando con Seijo se dio cuenta de los patrones que suceden en la película Matrix que pueden extrapolarse al mundo rolero. A partir de ahí intenta trasladar todo este enfoque para diseñar un juego de rol. Eberron: Forge of the Artificer es un compendio de reglas para Dungeons & Dragons, ambientado en el mundo de Eberron, se publicó como una expansión de la quinta edición revisada (5.5e) el 9 de diciembre de 2025. Este suplemento se centra principalmente en la clase Artífice, conocida por su habilidad para combinar magia e invención tecnológica, ofreciendo nuevas opciones tanto para jugadores como para directores de juego (DMs). La clase Artífice revisada El Artífice regresa como un maestro de las invenciones mágicas, con una reestructuración profunda de sus capacidades para la nueva edición. Entre los cambios más destacados se incluyen: Tinker's Magic: reemplaza la antigua habilidad de Magical Tinkering. Ahora, el Artífice puede crear objetos cotidianos útiles como cuerdas, antorchas, garfios o proyecciones de gravilla con sus herramientas, que duran hasta el próximo descanso largo. La cantidad de usos por descanso depende del modificador de Inteligencia del Artífice. Replicate Magic Item: sustituye el sistema de Infuse Item. Ahora el Artífice aprende planos para crear objetos mágicos de distintos niveles y puede fabricarlos directamente, otorgando una flexibilidad sin precedentes. Puede crear escudos, varitas, botas voladoras y objetos mágicos sin depender de objetos base. Magic Item Tinker: a partir del nivel 6, el Artífice puede manipular sus objetos replicados: recargar cristales mágicos con hechizos, drenar objetos para recuperar espacios de hechizo y transformar un objeto replicado en otro conocido. Flash of Genius: mejorado para activarse tras un fallo de tirada, añadiendo a cualquier chequeo o salvación el modificador de Inteligencia del personaje. Epic Boon y Soul of Artifice: capacidades de niveles superiores que permiten sobrevivir a impactos mortales mediante la destrucción de objetos replicados y recuperar usos de Flash of Genius tras un descanso corto. Subclases y especializaciones Forge of the Artificer trae cinco subclases: Alchemist: experto en pociones y elixires, centrado en curación y buffs de manera versátil. Armorer: mejora armaduras y puede convertirse en un tanque con personalizada armadura mágica. Artillerist: especialista en daño a distancia, usando su Eldritch Cannon para ataque y apoyo. Battle Smith: acompañante mecánico llamado Steel Defender y roles defensivos para el grupo. Cartographer (nueva): esta subclase se enfoca en exploración y control del campo de batalla mediante mapas mágicos (Adventurer's Atlas), portales de teletransporte, y habilidades que permiten a los aliados moverse y atacar con mayor libertad. El Cartógrafo, en particular, enfatiza la movilidad y la inteligencia táctica, otorgando ventajas únicas al posicionamiento y a la coordinación durante combates, exploración y desafíos estratégicos. Opciones para jugadores El suplemento amplía la creación de personajes con más de 40 opciones de jugador, que incluyen: Especies jugables revisadas, como los Warforged mecanizados y los Khoravar (mitad elfos de Eberron). Trasfondos y dotes, incluyendo el rediseño de las Dragonmarks, accesibles ahora sin restricciones de especie. Hechizos, objetos mágicos innovadores y vehículos especiales que amplían la narración y la interacción del grupo con el mundo mágico-tecnológico de Eberron. Herramientas para directores de juego Forge of the Artificer proporciona modelos de campaña y herramientas creativas: Tres plantillas de aventura: fantasía negra, intriga política y aventura pulp, con capítulos de muestra, enganches narrativos y guías de encuentros. Más de 20 monstruos nuevos y estructuras de bastión para crear desafíos emocionantes. Reglas para el uso de airships y bases móviles, permitiendo escenarios espectaculares y dinámicos. Esperamos que os guste! Música de Uppbeat: License code: DSJHNLFTIRWBKXPO Música de Youtube

Connor and Mike determines if the Hoosiers success can provide any form of hope for Husker football to dominate in the coming years.

If you need a reminder about the power of images and video in marketing and brand identity, you'll want to hear what Stewart Cohen has to say in today's slice of the digital marketing news, tools and tactics you need to succeed. Join Brad Friedman and Stewart Cohen as they chat about collaboration, storytelling, and the innate curiosity it takes to create digital content that differentiates brands while generating revenue. Stewart Cohen leads a boutique production company dedicated to delivering exceptional work and creating enjoyable, productive client experiences. Passionate about the power of images and video in marketing and brand identity, he brings the same energy and attention to detail to every project, whether it's a large-scale TV production or an intimate still shoot. Stewart thrives on collaboration, driven by a deep curiosity about his clients' stories and a commitment to exceeding their expectations, building lasting partnerships along the way. The Digital Slice Podcast is brought to you by Magai. Up your AI game at https://friedmansocialmedia.com/magai And if it's your first time purchasing, use BRAD30 at checkout to get 30% off your first 3 months. Visit thedigitalslicepodcast.com for complete show notes of every podcast episode.

The Indiana Hoosiers proved to be a team of destiny after winning the National Championship in just Year 2 of the Curt Cignetti era. Why haven't the USC Trojans been able to have this kind of success yet? Can they achieve this with the current strategy that they have deployed? Should we see a large leap next season? Tune in and make sure to like and subscribe to the USC LAFB YouTube Channel! Use promo code USCLAFB on Sleeper and get 100% match up to $100! https://Sleeper.com/promo/USCLAFB. Terms and conditions apply. #Sleeper Become an LAFB Lifer and get special perks by joining our Exclusive USC Trojans Community: https://www.lafbnetwork.com/plans/join/ Become a member today and help support the USC LAFB Team while also supporting Youth Sports Initiatives in the Los Angeles area! Become a member here: https://www.youtube.com/channel/UCZ3-rN0vKVT_XZVs-m6LXaw/join Join our USC Trojans Message Board: https://www.lafbnetwork.com/forums/forum/usc-trojans/ Check out our USC Trojans LAFB Merch: https://lafbnetwork.myshopify.com/ Listen to our USC Football Trojans Podcast: https://podcasts.apple.com/us/podcast/usc-lafb-a-usc-trojans-show/id1602005638 Go to www.LAFBNetwork.com for FREE full access to all of our podcasts and join the community! Twitter: @LAFBNetwork | @RyanDyrudLAFB | @LAFBJamz | @Coach_Rowe2 | @Tim_Prangley Lincoln Riley is the USC Trojans Football Head Coach for the 2025 College Football Season. The Trojans look to capitalize on an offseason full of momentum and improve their Big Ten play for 2025. Tune in for up-to-date USC Trojans news, opinion, and recruiting intel. Plus, film review, game previews and breakdowns, and our weekly LIVE LAFB Conquest Call-In Show every Wednesday evening! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Janet talks about the importance of having a unique methodology and provides a step-by-step guide on how to replicate and amplify one's professional success through certification, licensing, and other models. Janet also discusses how to overcome common obstacles, such as sales reluctance among newly certified coaches, and offers insights into various replication models like subscription consulting and corporate training.

Buckeye Weekly Podcast: Reacting to Miami Fans' Comments on Ohio State ShowdownIn this episode of the Buckeye Weekly Podcast, hosts Tony Gerdeman and Tom Orr dive into YouTube comments from Miami fans ahead of the Cotton Bowl clash between Ohio State and Miami. The hosts address various fan opinions, answer questions, and analyze the upcoming game while providing insights on both teams' strengths and weaknesses. Don't miss their humorous take on the commentary and their detailed breakdown of what to expect in this highly anticipated matchup.00:00 Introduction and Banter00:38 Reacting to Viewer Comments01:23 Analyzing Miami's Chances Against Ohio State02:07 Comparing Indiana and Miami's Defense04:08 Miami's Path to Victory05:35 Miami's ACC Championship Aspirations08:08 Viewer Comments on Ohio State and Miami17:55 Final Thoughts and Sign-Off

This is the final episode in our 16-part Christian Worldview series.We end where biblical leadership begins: with the responsibility to replicate. Spiritual leadership is not optional—it's the divine call to raise up others by embodying truth, integrity, and love.Casey, Travis, and Justin unpack what it means to be a man who not only leads well but multiplies that leadership in others—at home, at work, and in your community. From parenting and discipleship to authority and humility, this episode is packed with fire-tested stories, biblical wisdom, and practical tools for men who want to lead like Christ."Follow me as I follow Christ" isn't a slogan. It's the charge.This is what legacy looks like.

Good morning from Pharma Daily: the podcast that brings you the most important developments in the pharmaceutical and biotech world. In the ever-evolving landscape of pharmaceuticals and biotechnology, a series of strategic transactions and scientific advancements are reshaping the industry.BioMarin's acquisition of Amicus Therapeutics for $4.8 billion is a significant highlight, marking the company's largest transaction to date. This move signifies a strategic pivot towards enhancing its capabilities in the rare disease sector, leveraging Amicus's expertise and robust pipeline to potentially improve patient outcomes in this highly specialized area. This acquisition is expected to enrich BioMarin's portfolio significantly with promising assets from Amicus, reflecting a strategic shift under new leadership towards rare disease treatments.Regulatory affairs have seen considerable activity as well, with the FDA raising concerns over manufacturing practices at Catalent's gene therapy facility. These issues, documented in a Form 483 following inspections, particularly pertain to the production of Elevidys. Such regulatory scrutiny emphasizes the critical importance of maintaining compliance with manufacturing standards in gene therapy—a burgeoning field within biotech that holds immense promise for treating genetically-driven conditions.The FDA's oversight extends beyond manufacturing practices to advertising, as evidenced by an untitled letter issued to Bristol Myers Squibb regarding their Cobenfy TV ad. This action is part of the FDA's broader initiative to ensure that direct-to-consumer marketing materials accurately portray drug benefits and risks, thereby protecting public health.In another strategic move, Alvotech and Teva are gearing up for the 2026 U.S. launch of an Eylea biosimilar following a settlement with Regeneron. This development highlights the competitive dynamics within the biosimilar market—a segment poised for growth as patents on major biologics expire, offering more cost-effective alternatives and expanding treatment access.Meanwhile, Clovis Oncology has achieved a milestone with Rubraca, which transitioned from accelerated approval to full FDA endorsement for prostate cancer treatment after five years. This progression underscores Rubraca's demonstrated efficacy and safety profile in addressing advanced prostate cancer—a notable achievement amid an increasingly competitive oncology market.Policy changes proposed by Health and Human Services Secretary Robert F. Kennedy Jr. could have profound implications by disrupting funding streams for hospitals providing gender-affirming care to minors. The potential impact on healthcare providers and patients who rely on these services is significant.Turning to clinical trials, Daiichi Sankyo has seen success with Enhertu receiving FDA approval for first-line HER2-positive breast cancer treatment. Nonetheless, challenges persist as a separate phase 3 trial for another antibody-drug conjugate was paused due to unexpected patient deaths. Meanwhile, Takeda plans to seek FDA approval for its TYK2 inhibitor following successful phase 3 trials in psoriasis—indicating promising potential in autoimmune disease therapies.Strategic shifts are evident across organizations as well, highlighted by Kathy Fernando's departure from Pfizer to join Replicate Bioscience as Chief Business Officer. Her new role focuses on advancing Replicate's self-replicating RNA technology platform—an area gaining traction due to its implications for vaccine development and therapeutic applications.On the clinical trials front, Altimmune reported encouraging results from a 48-week study on metabolic dysfunction-associated steatohepatitis (MASH). Their GLP-1/glucagon dual receptor agonist demonstrated sustained weight loss and improvements in non-invasive liver fibrosis measures—offering new hope for MASH patients who face limited treSupport the show

Ritual piercing of the body. The shedding of blood. The promise of salvation. John Leake explains the religion of vaccines, and why its adherents are dangerous. (00:00) The Vaccine Hesitation Heresy (14:20) The Religious Annunciation of the Vaccine (21:20) Vaccine Worship (33:58) Why Do Vaccine Developers Have Legal Immunity? (45:49) The Demonic Forces at Work in the Medical Industry Paid partnerships with: Eight Sleep: Sale extended! Get up to $400 off the new Pod 5 Ultra at https://EightSleep.com/Tucker Pure Talk: Get unlimited talk, text, and data for just $29.95/month for life -- only at https://PureTalk.com/Tucker Hallow prayer app: Get 3 months free at https://Hallow.com/Tucker Battalion Metals: Shop fair-priced gold and silver. Gain clarity and confidence in your financial future at https://battalionmetals.com Learn more about your ad choices. Visit megaphone.fm/adchoices

The beauty and salon industry is set to hit nearly $96 billion by 2033, but if you're a salon owner drowning in operational costs, watching your best staff walk out the door every few years, and feeling trapped in your own business… you're not alone. In this episode, Kevin from the Pro Sulum team breaks down the brutal reality behind the industry's growth numbers and why conventional advice like "just raise your prices" or "buy better software" is keeping you stuck in chaos. You'll discover: Why the $96 billion boom is hiding a crisis for individual salon owners The real reason 3-5 years is the "death sentence" for most cosmetology professionals (and your business) Why that expensive booking software didn't buy you any freedom What team-based salons like The Masters Salon (50+ years in business) know that you don't The one thing that separates slaves from owners who are actually free This isn't another fluffy "mindset" episode. This is about the systems gap that's killing your business—and the documented process that fixes it. Key Topics & Timestamps: [0:00 - 0:53] Opening: The $96 Billion Paradox Why is the industry booming while you're burned out and broke? [0:53 - 2:00] Segment 1: The Rising Cost Crisis December 2025 data: $95.99 billion market projection The hidden operational costs crushing salon owners Why "raise your prices" is lazy advice that misses the point [2:00 - 3:29] Segment 2: The 3-5 Year Staffing Death Sentence Huntsville Business Journal interview with Brett Pierce (The Masters Salon) Why trained stylists leave just when they become profitable The brutal truth: You're offering jobs, not careers [3:29 - 4:09] Segment 3: The Software Trap Why automation without systems just creates "fancy chaos" The hammer vs. blueprint analogy How you're wasting thousands on tools that don't fix the real problem [4:09 - 5:05] Segment 4: The Team-Based System Secret What makes The Masters Salon's model work after 50+ years The Holy Grail: Consistent client experience regardless of who serves them Why documentation is the only path to freedom [5:05 - 6:44] Segment 5: The VSA Solution What a Virtual Systems Architect actually does (vs. regular VAs) The 5-minute video that creates a forever asset How documentation while working changes everything [6:44 - 7:24] Closing: Your Next Steps The real problem diagnosis: Systems, not time or people Clear path forward with Pro Sulum Resources Mentioned: Free Systematization Assessment:

Teachhoops.com⁠ ⁠WintheSeason.com⁠ ⁠GameChanger Website⁠ ⁠Dr Dish Website⁠ ⁠CoachingYouthHoops.com⁠ ⁠https://forms.gle/kQ8zyxgfqwUA3ChU7⁠ ⁠Coach Collins Coaching Store⁠ Check out.  [Teachhoops.com](⁠https://teachhoops.com/⁠) 14 day Free Trial Youth Basketball Coaches Podcast Apple link: ⁠https://podcasts.apple.com/us/podcast/coaching-youth-hoops/id1619185302⁠ Spotify link: ⁠https://open.spotify.com/show/0g8yYhAfztndxT1FZ4OI3A⁠ ⁠Funnel Down Defense Podcast⁠ ⁠https://podcasts.apple.com/us/podcast/funnel-down-defense/id1593734011⁠ Want More ⁠Funnel Down Defense⁠ ⁠https://coachcollins.podia.com/funnel-down-defense⁠ [Facebook Group . Basketball Coaches](⁠https://www.facebook.com/groups/basketballcoaches/)⁠ [Facebook Group . Basketball Drills](⁠https://www.facebook.com/groups/321590381624013/)⁠ Want to Get a Question Answered? [ Leave a Question here](⁠https://www.speakpipe.com/Teachhoops⁠) Check out our other podcast [High School Hoops ](⁠https://itunes.apple.com/us/podcast/high-school-hoops-coaching-high-school-basketball/id1441192866⁠) Check out our Sponsors [HERE](https://drdishbasketball.com/) Mention Coach Unplugged and get 350 dollars off your next purchase basketball resources free basketball resources Coach Unplugged Basketball drills, basketball coach, basketball workouts, basketball dribbling drills,  ball handling drills, passing drills, shooting drills, basketball training equipment, basketball conditioning, fun basketball games, basketball jerseys, basketball shooting machine, basketball shot, basketball ball, basketball training, basketball camps, youth basketball, youth basketball leagues, basketball recruiting, basketball coaching jobs, basketball tryouts, basketball coach, youth basketball drills, The Basketball Podcast, How to Coach Basketball, Funnel Down Defense FDD Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ready to level up your geopolitical insight? Join Peter Zeihan's Patreon and get 50% off your first month with code PZ50.Black Friday Sale: https://bit.ly/PZBFSaleThe US shale revolution has altered the trajectory of the US energy sector, but can that success story be replicated anywhere else?Full Newsletter: https://bit.ly/4ijvhdS

This week, we discuss the Cloudflare outage, their current business strategy, and paying OSS maintainers. Plus, thoughts on loading the dishwasher and managing your home. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/byFyPbe9HC0?si=DpOApdTKs9oh-bWl) 548 (https://www.youtube.com/live/byFyPbe9HC0?si=DpOApdTKs9oh-bWl) Runner-up Titles Mystery Knob Vegans are cursed vegetarians Skilled enough Defrag the dishwasher Design Intentions QR codes everywhere I don't know where we draw the line, but I know where we start SDT IoT CMBD, Home Edition. SDT Open Source Money Maker Lead with Nagware Stocks go up, stocks go down Safari's my naked browser Coté wanted to add periods to all of these but did not. Rundown FFmpeg to Google: Fund Us or Stop Sending Bugs (https://thenewstack.io/ffmpeg-to-google-fund-us-or-stop-sending-bugs/) Cloudflare blames massive internet outage on 'latent bug' (https://techcrunch.com/2025/11/18/cloudflare-blames-massive-internet-outage-on-latent-bug/) Cloudflare outage on November 18, 2025 (https://blog.cloudflare.com/18-november-2025-outage/) Replicate is joining Cloudflare (https://blog.cloudflare.com/replicate-joins-cloudflare/) Relevant to your Interests The Walt Disney Company Announces Multi-Year Distribution Agreement With YouTube TV (https://thewaltdisneycompany.com/the-walt-disney-company-announces-multi-year-distribution-agreement-with-youtube-tv/) Anthropic claims of Claude AI-automated cyberattacks met with doubt (https://www.bleepingcomputer.com/news/security/anthropic-claims-of-claude-ai-automated-cyberattacks-met-with-doubt/) Disrupting the first reported AI-orchestrated cyber espionage campaign (https://www.anthropic.com/news/disrupting-AI-espionage) Compact, human-readable serialization of JSON data for LLM prompts (https://github.com/toon-format/toon) Outage Tracker | Updog By Datadog (https://updog.ai/) Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive (https://www.nytimes.com/2025/11/17/technology/bezos-project-prometheus.html) Power (https://a16z.com/powerpoint-is-your-therapist-gamma-is-your-coach/)P (https://a16z.com/powerpoint-is-your-therapist-gamma-is-your-coach/)oint is your therapist, Gamma is your coach | Andreessen Horowitz (https://a16z.com/powerpoint-is-your-therapist-gamma-is-your-coach/) Red Hat Introduces Project Hummingbird for “Zero-CVE” Strategies (https://www.redhat.com/en/about/press-releases/red-hat-introduces-project-hummingbird-zero-cve-strategies) A new era of intelligence with Gemini 3 (https://blog.google/products/gemini/gemini-3/) The platform that needs a platform (https://cote.io/2025/11/19/the-platform-that-needs-a.html) The AI Coding Startup Favored by Tech CEOs Is Now Worth $29.3 Billion (https://www.wsj.com/tech/ai/the-ai-coding-startup-favored-by-tech-ceos-is-now-worth-29-3-billion-14c72c02) The Smartest Fliers Use This App to Survive America's Travel Hell (https://www.wsj.com/tech/personal-tech/flighty-app-flight-cancellations-delays-900a8aad) Oracle's Market Cap Decline: Analyzing the Impact on Finance (https://platformonomics.com/2025/11/platformonomics-tgif-108-november-14-2025/) OpenAI's Fidji Simo Plans to Make ChatGPT Way More Useful—and Have You Pay For It (https://www.wired.com/story/fidji-simo-is-openais-other-ceo-and-she-swears-shell-make-chatgpt-profitable/) Europe's cookie nightmare is crumbling (https://www.theverge.com/news/823788/europe-cookie-prompt-browser-changes-proposal) Nonsense AI-Powered Teddy Bear Caught Talking About Sexual Fetishes and Instructing Kids How to Find Knives (https://gizmodo.com/ai-powered-teddy-bear-caught-talking-about-sexual-fetishes-and-instructing-kids-how-to-find-knives-2000687140) Whipped Cream Worth $80K Stolen in Ontario (https://www.yahoo.com/news/articles/whipped-cream-worth-80k-stolen-135930616.html) Conferences DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. CFP open until Dec. 1st. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: The Beast in Me (https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.netflix.com/title/81427733&ved=2ahUKEwiy4NnP_P6QAxWGnWoFHU37GesQFnoECGcQAQ&usg=AOvVaw0QnhTLbjScTHWLLBI4qs26) Matt: The Prestige (https://www.imdb.com/title/tt0482571/) Coté: Fantastic 4 (https://en.wikipedia.org/wiki/The_Fantastic_Four:_First_Steps) with that Boba Fet (https://en.wikipedia.org/wiki/The_Fantastic_Four:_First_Steps)t (https://en.wikipedia.org/wiki/The_Fantastic_Four:_First_Steps) guy (https://en.wikipedia.org/wiki/The_Fantastic_Four:_First_Steps), “Winter's Mourning,” from Uncaged God (https://www.dmsguild.com/en/product/382873/uncaged-goddesses)d (https://www.dmsguild.com/en/product/382873/uncaged-goddesses)esses (https://www.dmsguild.com/en/product/382873/uncaged-goddesses). Photo Credits Header (https://unsplash.com/photos/gray-and-white-spoon-and-fork-lot-closeup-photo-vZZfVCUOKfw)

J.P. Shadrick, Jeff Lageman and former Jaguars LB coach Mark Duffner dissect the Jaguars clinical performance vs. the Chargers and discuss how the Jaguars can do it again in Week 12. Later, Kainani Stevens joins the show to talk about the RB room and offensive line performance in Week 11 on Jaguars Happy Hour, presented by Heritage Roofing.See omnystudio.com/listener for privacy information.

AI Model Showdown: Grok 4.1 vs. Gemini 3 | E2211Register for Founder University Japan's Kickoff! https://luma.com/cm0x90mkToday's show:*Will the arrival of two hotly-anticipated, intensely powerful AI models snap the Doomer cycle?On a new TWiST, Jason and Alex consider the current AI landscape, one where cynicism about insider mega-deals, fear of job displacement, and concerns about bubble bursts seem to rule the day. Will the arrival of two powerful new models — xAI's Grok 4.1 and Google's Gemini 3 — help the industry to course-correct? And how do we decide how much these models have improved anyway?PLUS we're investigating Cloudflare's recent downtime and their acquisition of Replicate. Are we heading toward a future in which everyone runs their own models, locally? And how worried should founders get if their products or sites go down for a few hours?Finally, if you're an investor, and want to come to Jason's Dim Sum Demo Day in San Francisco, here's the link: http://launch.co/dimsumTimestamps:(2:01) Why the internet got broadly degraded when Cloudflare went down(5:00) How worried should founders become when their sites go offline?(6:44) Downtime aside, what did Cloudflare want with Replicate?(8:12) Why Jason predicts one day we'll run our own local language models(9:39) Goldbelly - Goldbelly ****ships America's most delicious, iconic foods nationwide! Get 20% off your first order by going to Goldbelly.com and using the promo code TWiST at checkout.(15:25) How to turn off “Learn From This App” on your iPhone(17:29) Will the arrival of hotly-anticipated new models stop the spread of Doomerism and AI cynicism(20:00) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit every.io.(23:53) Checking back in with the “Best AI Model” Polymarket… why has ChatGPT dropped so low?(29:43) Zite - Zite is the fastest way to build business software with AI. Build apps, forms, websites and portals that connect to the tools you already use. Go to zite.com/twist to get started.(31:14) ANOTHER AI mega-deal? Nvidia and Microsoft are investing in… ANTHROPIC(33:06) Why so many AI deals now include “up to…” language around investments(35:04) What Jason thinks of Dario Amodei's warning about white collar job displacement(39:39) If we all agree AI job displacement is coming… what can be done?(45:16) All about Jason's Dim Sum Investor Demo Day in San Francisco!Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:39) Goldbelly - Goldbelly ****ships America's most delicious, iconic foods nationwide! Get 20% off your first order by going to Goldbelly.com and using the promo code TWiST at checkout.(20:00) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit every.io.(29:43) Zite - Zite is the fastest way to build business software with AI. Build apps, forms, websites and portals that connect to the tools you already use. Go to zite.com/twist to get started.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland

This is a recap of the top 10 posts on Hacker News on November 17, 2025. This podcast was generated by wondercraft.ai (00:30): Google is killing the open web, part 2Original post: https://news.ycombinator.com/item?id=45954560&utm_source=wondercraft_ai(01:54): Israeli-founded app preloaded on Samsung phones is attracting controversyOriginal post: https://news.ycombinator.com/item?id=45955424&utm_source=wondercraft_ai(03:18): Core Devices keeps stealing our workOriginal post: https://news.ycombinator.com/item?id=45960893&utm_source=wondercraft_ai(04:42): Azure hit by 15 Tbps DDoS attack using 500k IP addressesOriginal post: https://news.ycombinator.com/item?id=45955900&utm_source=wondercraft_ai(06:06): Replicate is joining CloudflareOriginal post: https://news.ycombinator.com/item?id=45953702&utm_source=wondercraft_ai(07:30): FreeMDU: Open-source Miele appliance diagnostic toolsOriginal post: https://news.ycombinator.com/item?id=45953452&utm_source=wondercraft_ai(08:54): Building a Simple Search Engine That WorksOriginal post: https://news.ycombinator.com/item?id=45950720&utm_source=wondercraft_ai(10:18): Giving C a superpower: custom header file (safe_c.h)Original post: https://news.ycombinator.com/item?id=45952428&utm_source=wondercraft_ai(11:42): Project GeminiOriginal post: https://news.ycombinator.com/item?id=45954640&utm_source=wondercraft_ai(13:06): Windows 11 adds AI agent that runs in background with access to personal foldersOriginal post: https://news.ycombinator.com/item?id=45959795&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

The Miami Heat and Florida Panthers have both adapted to the modern style of their leagues and found success — can the Dolphins do the same?

In this episode, Conor and Bryce record live from Norway! They continue their chat about the replicate, scatter, gather and run length decode algorithms!Link to Episode 257 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterDate Recorded: 2025-09-23Date Released: 2025-10-24thrust::gatherthrust::scatterthrust::permutation_iteratorthrust::counting_iteratorthrust::sequencethrust::transform_iteratorthrust::copy_if (stencil overload)parrot::replicate Implementationthrust::reduce_by_keycub::RunLengthDecodeC++20 std::views::takeC++20 std::views::take_whileAPL Wiki ReplicateArrayCast Episode 110: Implementing ReplicateIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

David Locke joined DJ & PK to talk about the Utah Jazz and what the early returns are to him with the roster as the season is just underway.

Ever wondered what are successful business owners who podcast doing in 2025 that regular podcasters can replicate? The answer lies in how these entrepreneurs treat their shows as part of a larger, data-informed ecosystem—not just as a content stream. This year, podcasting for business growth is about alignment, experimentation, and audience intimacy.To find out what's actually working, I analyzed two powerhouse podcasters—Jasmine Star and Chris Do—both of whom have a catalog of over 300 episodes, and built thriving businesses before launching their shows. Their podcasts don't make their brands; they amplify them. Here's what 2025's most strategic business podcasters are doing differently—and how you can borrow their best moves.Chapters:00:00 Introduction to Podcasting Strategies from Successful Business Owners12:49 Analyzing Episode Formats and Best Practices used by Jasmine Star21:47 Maximizing Show Notes and SEO27:44 Podcast Structure and Episode Formats used by Chris Do40:14 Treating Your Podcast Like a BusinessResources mentioned in this episode:For the full list of links, resources and show notes, please visit:https://www.thepodcastspace.com/podcast/s4-106-analyzing-podcast-content-strategies-from-top-business-podcasters

"McElroy & Cubelic In The Morning" airs 7am-10am weekdays on WJOX-94.5!See omnystudio.com/listener for privacy information.

In this episode, Conor and Bryce record live from Denmark! They talk about the replicate, scatter, gather and run length decode algorithms!Link to Episode 256 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterDate Recorded: 2025-09-20Date Released: 2025-10-17thrust::gatherthrust::scatterthrust::permutation_iteratorthrust::counting_iteratorthrust::sequencethrust::transform_iteratorthrust::copy_if (stencil overload)parrot::replicate ImplementationJAXthrust::reduce_by_keycub::RunLengthDecodeAPL Wiki ReplicateArrayCast Episode 110: Implementing ReplicateRow-wise Softmax in TritonRow-wise Softmax in ParrotIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

In this episode, Conor and Bryce record live from Denmark! They recap the C++ Copenhagen Meetup hosted by Symbion, the replicate algorithm and much more!Link to Episode 255 on WebsiteDiscuss this episode, leave a comment, or ask a question (on GitHub)SocialsADSP: The Podcast: TwitterConor Hoekstra: Twitter | BlueSky | MastodonBryce Adelstein Lelbach: TwitterDate Recorded: 2025-09-20Date Released: 2025-10-10Roku Engineering SymposiumDenmark DGX SuperpodTweet of Beer PouringAPL replicateC++98 std::copy_ifArrayCast Episode 110: Implementing ReplicateAPL Wiki Replicatethrust::copy_if (stencil overload)cub::RunLengthDecodethrust::reduce_by_keythrust::permutation_iteratorBDE LibrariesASL LibrariesEASTLIntro Song InfoMiss You by Sarah Jansen https://soundcloud.com/sarahjansenmusicCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: http://bit.ly/l-miss-youMusic promoted by Audio Library https://youtu.be/iYYxnasvfx8

Send in your questions to https://DiscGolfAnswerMan.comWatch the full episode  @dynamicdiscs  Question from BrianWith the world championships being such a successful event over in Finland, America has some BIG shoes to fill. Do you think the crew in Michigan can replicate the success, or are they going to fall on their face?

Send us a textScaling a business shouldn't feel like guesswork. If you're tired of relying on referrals or one-off wins that can't be repeated, this episode will show you a better way.I'm joined by Don Traxler, leading growth strategist and founder of RevSpark Media, where he helps medical clinics, wellness brands, and franchise owners achieve seven- and eight-figure growth through predictable growth systems. Don's expertise spans men's health, regenerative medicine, weight loss clinics, telehealth, and franchising.In this conversation, Don shares why cheap leads and AI automation alone create bottlenecks, why referrals are like “building on sand,” and how franchise operators can replicate scalable marketing systems across every location. We unpack how to move from unpredictable, random results into data-driven, high-intent client acquisition that fuels sustainable growth.If you're ready to replace chance with clarity, and growth with systems you can trust, this episode is for you.Books MentionedGetting Things Done by David AllenThe 4-Hour Work Week by Tim FerrissConnect with Don at revsparkmedia.com or on LinkedIn. His book, The Franchise Advertising Excellence Playbook, is available now on Amazon.Join Dr. William Attaway on the Catalytic Leadership podcast as he shares transformative insights to help high-performance entrepreneurs and agency owners achieve Clear-Minded Focus, Calm Control, and Confidence. Free 30-Minute Discovery Call:Ready to elevate your business? Book a free 30-minute discovery call with Dr. William Attaway and start your journey to success. Special Offer:Get your FREE copy of Catalytic Leadership: 12 Keys to Becoming an Intentional Leader Who Makes a Difference. Connect with Dr. William Attaway: Website LinkedIn Facebook Instagram TikTok YouTube

Join host Ryan Schlipp on Packernet After Dark for an engaging call-in show where Packers fans dive into player comparisons like Sam Shields and Valentine, reflect on trades involving Devonte Adams and Aaron Rodgers, and share optimism for the upcoming season. Callers discuss everything from team depth and Super Bowl chances to summer weather rants, Gordon Ramsay critiques, and expert wing-cooking tips. Explore the balance of hope, realism, and fan passion as we gear up for training camp—don't miss these lively discussions! To advertise on this podcast please email: ad-sales@libsyn.com Or go to: https://advertising.libsyn.com/packernetpodcast

Bud Elliott sits down with Peegs' Jared Kelly to preview Indiana's upcoming season. (00:00:00) - Intro (00:01:30) - Fernando Mendoza  (00:03:50) - Running Backs   (00:05:25) - Wide Receivers   (00:08:15) - Offensive Line  (00:11:44) - Offensive Name To Know   (00:13:50) - Defensive Front   (00:17:25) - Linebackers  (00:19:20) - Secondary  (00:23:00) - 2025 Expectations Cover 3 is available on Apple Podcasts, Spotify and wherever else you listen to podcasts.  Visit the betting arena on CBSSports.com for all the latest in sportsbook reviews and sportsbook promos for betting on college football. Watch Cover 3 on YouTube: https://www.youtube.com/cover3 Follow our hosts on Twitter: @Chip_Patterson, @TomFornelli, @DannyKanell, @BudElliott3 For more college football coverage from CBS Sports, visit https://www.cbssports.com/college-football/ To hear more from the CBS Sports Podcast Network, visit https://www.cbssports.com/podcasts/ To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Gab Marcotti and Julien Laurens discuss Inter Milan's 2-0 win over River Plate and ask if a more youth-focussed Inter under Christian Chivu is the future for the Nerazzurri. The guys also discuss Lyon's relegation to Ligue 2, Milos Kerkez' move to Liverpool and if Cristiano Ronaldo will sign a new deal with Al Nassr. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Thunder took down the Pacers in Game 2 of the NBA Finals. Success breeds copycats and we talk about which team is easier to replicate. With Shai Gilgeous-Alexander, the Thunder run a one man centerpiece offense. The Pacers, on the other hand, mimic Tyrese Haliburton's style and have three-point shooters. Who is more rare, a smart point guard or a once-in-a-lifetime talent? He just passed Allen Iverson for most points through first two career NBA Finals games, but is he better than '06 Dwayne Wade? Michael Jordan? Steph Curry? Plus, a new week with new headlines!  Learn more about your ad choices. Visit podcastchoices.com/adchoices