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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

Jonatan har lekt clown på ett dagis och fått höra att han måste sluta med detchippen har följt hundbajs-debatten i MalmöDet handlar om att blinda inte behöver plocka upp hundbajs(!) och om var man ska gömma sina pengar och om varför Rasmus alltid blir misshandlad Köp biljett till Oförändrat tillstånd på simonsvensson.se

Ryan Gilbert, Joe DeMarini, and Jacob Russell react to the Philadelphia Flyers' trade deadline! They break down the Bobby Brink for David Jiricek swap, why the Flyers didn't trade Rasmus Ristolainen, and more! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Det råder någon sorts kaffeburks-mani i landet och köerna ringlar sig långa på många håll. Vi pratar om vad vi köat till och vad som hände när vi gjorde det! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Annikas freestyle misstogs för en landmina i kön på Bangkoks flygplats, Siv träffade sitt livs kärlek i garderobskön och Magnus satt i telefonkö i hela 63 timmar!Var finns Sveriges längsta kö just nu? Vi ringer trafikredaktionens Viktoria Rosenström för att ta reda på det.I extramaterialet berättar Rasmus om tvångstanken han får i matbutiker och om sin medverkan i Morgonpasset i P3. Dessutom kan det mycket väl vara så att praktikant Amiras jacka blivit kontaminerad av hästen Liptons — via Rasmus — mycket distinkta lukt!

Nu börjar det bli vår och allt fler mössor åker av vi hör lyssnarnas historier apropå hår! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Lena försökte med hjälp av en vampyrmetod att få tillbaka sitt tjocka hår, Dan har kommit på fjärde plats i mustasch-VM och Mats hade så krulligt hår när han var liten att hans smeknamn blev ”Lammet”.I extramaterialet välkomnar vi upphovsmakaren till ämnet – vår journalistpraktikant Amira. Vi hör också om Erikas kontorsmiss och vad Rasmus ber om när han väl besöker en frisör.

Auf einem der sieben Welttümpel schippern der gefährliche Pirat Rasmus Rotbart und die Lachmöwe Lavina umher. Rasmus sucht gewaltige Piratenabenteuer. Durch sein Fernrohr entdeckt er plötzlich einen Schatz. Er ist groß und glänzt in der Sonne, aber er ist weit weg. Für Lavina ist das kein Problem. Das Sandmännchen hat dir aber nicht nur diese Geschichte mitgebracht, sondern auch noch das Kinderlied “Ein großer, ein runder, ein roter Luftballon”.

Brit och Rasmus i samtal med Martin om varför Blankspot nu reser till Eritrea, och hur den här rapporteringen är början på något större. Efter Sveriges utrikesminister Maria Malmer Stenergards besök i landet verkar relationen mellan Sverige och Eritrea ha förbättrats. Dörrar som länge varit stängda står plötsligt på glänt, samtidigt som läget i Afrikas horn snabbt förändras, från frigivningar i Eritrea till växande spänningar mellan Eritrea och Etiopien. I podden berättar Martin varför det är just i sådana här skeden journalistiken behövs som mest, och varför Blankspot nu samlar stöd för att bygga en långsiktig bevakning av en region som alltför sällan står i centrum. :speaker: Blankspotpodden finns där poddar finns! :earth_africa: Hjälp oss att fortsätta rapportera :arrow_right: Stöd oss: Blankspot.se/insamling

Brit och Rasmus i samtal med Martin om varför Blankspot nu reser till Eritrea, och hur den här rapporteringen är början på något större. Efter Sveriges utrikesminister Maria Malmer Stenergards besök i landet verkar relationen mellan Sverige och Eritrea ha förbättrats. Dörrar som länge varit stängda står plötsligt på glänt, samtidigt som läget i Afrikas horn snabbt förändras, från frigivningar i Eritrea till växande spänningar mellan Eritrea och Etiopien. I podden berättar Martin varför det är just i sådana här skeden journalistiken behövs som mest, och varför Blankspot nu samlar stöd för att bygga en långsiktig bevakning av en region som alltför sällan står i centrum. :speaker: Blankspotpodden finns där poddar finns! :earth_africa: Hjälp oss att fortsätta rapportera :arrow_right: Stöd oss: Blankspot.se/insamling

Brodes thought the Philadelphia Flyers trade deadline was a f***** DISASTER!!Get Your Tickets at TickPick! Code BRODES10 for $10 off purchase of atleast $99: https://www.tickpick.com/Camden Apothecary - https://camdenapothecary.com/Emilio Cigars: https://cigarsncigars.com/search.php?page=1§ion=product&search_query_adv=Emilio&x=0&y=0Code: BRODES10 for 10% off your purchase!Green Lawn Fertilizing: Let's make sure your lawn is looking BEAUTIFUL

Brodes hosted on WIP Friday night 6-10pm and gave his instant reaction to Flyers trade deadline.

Rasmus Henning fortæller bl.a. om status på landsholdet anno 2026, både i forhold til Team Danmark støtte og sportslige perspektiver for fremtiden. Vi taler desuden om talent arbejde, hvor Rasmus afslører hvem han anser for det største danske tri-talent, som han selv har trænet med og/eller rekrutteret indenfor de seneste 25 år.

Du elsker din hund. Men en dag kommer det lokale politi og tager den fra dig. Alene fordi politibetjenten synes, at den ligner en ulovlig hund, og den derfor skal aflives.Sådan er virkeligheden for Rasmus Isacsson. Da Rasmus hentede Lucy fra Bahrain tjekkede politiet hendes papirer, og hun slap igennem kontrollen. Men otte måneder senere kom to betjente og vurderede, at Lucy lignede en forbudt hund, på trods af modstridende dna-tests.Efter en lang kamp er der faldet en fatal afgørelse - men Rasmus har ikke tænkt sig at give op. Den her sag har fået Jyllands-Postens graverjournalist Morten Pihl til at grave i hundeejeres manglende retssikkerhed.For hvordan kan en hund gå fra at være godkendt til at blive dømt til aflivning? Og hvor står retssikkerheden, når det er udseendet, der afgør en hunds skæbne? Gæst: Morten Pihl, graverjournalist på Jyllands-Posten Vært: Tine ToftTilrettelæggelse og produktion: Karen Marie Gejl Foto: Privatfoto Optagelse af lyd: Stine Bidstrup Du kan læse Morten Pihl historier om Lucy her og her. See omnystudio.com/listener for privacy information.

Brodes is not happy that the Flyers are winning games as they take down Toronto for 3 straight.Get Your Tickets at TickPick! Code BRODES10 for $10 off purchase of atleast $99: https://www.tickpick.com/Camden Apothecary - https://camdenapothecary.com/Emilio Cigars: https://cigarsncigars.com/search.php?page=1§ion=product&search_query_adv=Emilio&x=0&y=0Code: BRODES10 for 10% off your purchase!Green Lawn Fertilizing: Let's make sure your lawn is looking BEAUTIFUL

Nicolai Højgaard spillede sig med en formidabel weekend ind i denne uges signatur-turnering, Arnold Palmer Invitational på Bay Hill. Han gik 11 under på de to weekendrunder og endte på en delt sjetteplads, og brormand Rasmus spillede sig også ind i top-10. Shane Lowry smed sejren til allersidst, og Casey Jarvis vandt for anden uge i træk på DP World Tour. Både Nanna Koerstz Madsen og Sofie Kibsgaard viste flot spil ude i verden, og så taler vi med Martin Leth Simonsen (1:17:00), der vandt årets første ECCO Tour-turnering i Spanien med en magtdemonstration. Vi taler desuden med Andreas Norfelt (43:50), der er CEO i Golfbox som i sidste uge rundede 1 mio. turneringer der er afviklet med det danske software og med Flemming Astrup om samarbejdet med Golfbox. Golf Showet er produceret i samarbejde med https://golfexperten.dk og https://dmgreenkeeping.dk Læs mere om vort samarbejde med formueforvalteren Othania på https://othania.dk/golfshowet/

Learn more about St. Michael's at www.st-michaels.org.

Auf einem der sieben Welttümpel schippern der gefährliche Pirat Rasmus Rotbart und die Lachmöwe Lavina umher. Rasmus ist hungrig und will sich einen Fisch angeln. Er bastelt sich eine gewaltige Angel für einen gewaltigen Fisch. Zum Glück hat Lavina schon eine Fischsuppe ohne Fisch vorbereitet. Das Sandmännchen hat dir aber nicht nur diese Geschichte mitgebracht, sondern auch noch das Kinderlied “Im Ozean ist Wochenmarkt” von Barnim Schulz-Kroenert.

Last Tuesday Trump gave his 1 hour and 47 minute State of the Union speech to Congress. While most was the theatrical clown show that has come to define SOTU speeches, with lemming like Congresspeople jumping up and clapping at every fragment of sentence, the first 30 minutes or so was about how great the US economy was doing—filled with misrepresentations and outright lies about the US economy's current condition.  Here's the real not to pretty picture about Jobs, Inflation, GDP, stock markets, taxes, deficits and debt, and of course tariffs.

With the NHL trade deadline one week away Jordan Hall and Joe Fordyce discuss the pros and cons of trading Rasmus Ristolainen, why this trade deadline could be different than years past and the impact selling could have on the Flyers' veterans. Jordan and Joe also talk about Matvei Michkov scoring twice in the Flyers' overtime win over the Rangers and more on the latest Flyers Talk podcast.

En perfekt avokado, vad klockan är, kantareller eller om någon är gravid? Vi hör vad lyssnarna har näsa för! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Gert är proffs på att baka hallongrottor, Reine har bokstavligen en näsa för att spela näsflöjt och så hör vi 18-åriga Rasmus som alltid känner på sig när hans pappa försöker att skrämma honom! Vi undrar också om folk norr om Gävle ens bryr sig om att första tranan kommit till Hornborgasjön? Vi har skoj med Junior LerinHur gör man för att bli glad i det trista och gråa vädret just nu? Vi ringer upp hela Sveriges ”Copacabana Boy” Junior Lerin för att få några tips. I extramaterialet pratar vi om hur Rasmus dyra jacka började stinka lerig hästpenis!

Sovintotyö: kirkko haluaa tehä toimintasuunitelman. Huomena fiirathaan Meänkielen päivää. Heidi Viitalalla oon tärkeä syy nousta sivakoitten pääle Vasaloppetissa. Kuukauen prufili Mervi Jaako sai 18-vuotihaana vanhemilta tukea lähteä mailmale. Lyssna på alla avsnitt i Sveriges Radios app.

Rasmus Munk is the chef and co-owner of Alchemist in Copenhagen, Denmark — a restaurant that has redefined what a dining experience can be. Ranked among the world's best restaurants, Alchemist serves a 50-course "holistic dining" experience across five hours, where every dish is designed to provoke thought, spark conversation, and challenge the boundaries between food, art, and social commentary.You'll hear about his philosophy of leading with concept over ingredient and why that sets Alchemist apart from every other restaurant in the world, his work beyond the kitchen, and the simple childhood memory of picking strawberries with his grandmother that quietly shaped one of the most complex culinary minds on the planet.Resources and links:Rasmus on InstagramAlchemist on InstagramAlchemist websiteConnect:Future Fork podcast websitePaul Newnham on InstagramPaul Newnham on XPaul Newnham on LinkedInDisruptive Consulting Solutions websiteSDG2 Advocacy Hub websiteSDG2 Advocacy Hub on XSDG2 Advocacy Hub on FacebookSDG2 Advocacy Hub on LinkedIn

 The NATO-Russia Ukraine war is 4 years old on February 24, 2026. Despite talk by US media and politicians, a peace agreement is not imminent. Today's show reviews the history of the conflict (politically, militarily) and presents an analysis why the end of the war is not anywhere near. Positions of the parties today (EU, Zelensky, US, Russia), why Ukraine elections this spring won't change anything, why Trump can't (won't) resolve the conflict, why EU wants the war to continue until 2030, why Russia hasn't been able to prevail in the military conflict despite devastating Ukraine's military, while new military technologies mean professional armies cannot conquer when confronting each other.  Implications for conflicts in US pending war in Iran and Asia.

The Knack - My Sharona The Killers - Mr Brightside Editors - Munich Glenn Frey - The Heat Is On Bloc Party - Banquet INXS - Devil Inside The Rasmus - In The Shadows Bananarama - Cruel Summer Chappell Roan - P!nk Pony Club Kajagoogoo - Too Shy Terence Trent D'Arby (Sananda Maitreya) - Wishing Well Propaganda - P Machinery Talk Talk - It's My Life Lady Gaga - Abracadabra The Absence - Be Ready For The Weekend Tom Jones Feat Mousse T - Sex Bomb Shania Twain - That Don't Impress Me Much R.E.M. - Shiny Happy People Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Rasmus Henning - Sportschef i Triatlon Danmark - besøger Tri-Oraklet til en længere snak om aktuelle projekter i forbundet og et tilbageblik på de seneste 25 års talentudvikling, landshold og elitemiljø(er) frem til i dag.

Sammen med Rasmus Boysen tager vi hver måned pulsen på de internationale ligaer og turneringer. Efter EM er ligaerne over hele Europa i gang igen. Og i denne uge begynder de europæiske turneringer igen, efterhånden som kampen om de afgørende pladser sætter ind. Rasmus Boysen var med os til at skabe overblik og tale om alt det, vi skal holde øje med i de kommende uger. Og så kom vi som vanligt godt forbi både den franske liga og den tyske Bundesliga. Få det store europæiske overblik med Rasmus Boysen her. Gæst: Rasmus Boysen Vært: Thomas Ladegaard *Udsendelsen er bragt i samarbejde med Sparekassen Kronjylland og Sparinvest*

Continuing the theme of recent weeks observing the slow motion crisis in AI and financial asset markets (SP500, Nasdaq, Cryptos, Gold-Silver), today's show discusses how it appears contagion across financial asset markets has begun. Where's the likely 'black swan'? What's happening to stocks in software, financial, and transport as AI destruction becomes more evident. What's driving the imminent crisis in AI, cryptos and metals? Why 2026 or 27 result in a financial markets implosion, likely at end of year. Previous market crashes are compared: 1987, 1998, 2007, 2019, 2023. How's this different.  The show will conclude with further discussion of Trump's 'fake news' US economy, as recent US jobs numbers show stagnant job market continues.

What does it take to be happy? And why does happiness so often slip away?In this episode of What Is a Good Life?, Mark McCartney is joined by Rasmus Hougaard for a conversation that moves from childhood questions about happiness, to monasteries in Nepal, to the boardrooms where he now works to transform leadership. Rasmus is the Founder and Chairman of Potential Project and was nominated by Thinkers 50 as one of the eight most important leadership thinkers in the world today. He's the author of The Mind of the Leader, Compassionate Leadership, and More Human: How the Power of AI Can Transform the Way You Lead.Together, they explore:Why an eight-year-old's question about happiness became a life's workThe cultural wisdom Rasmus found in Nepal that the West is missingHow his brother's death inspired his life's purposeA profound encounter with an unknown monk that transmitted unconditional loveThe difficulty of being human, even with deep practice and good intentionsThe innate goodness we all carry (and why many of us have forgotten it)What changes when leaders ask "how are you?" before "what do we need to do?"This conversation sits with both the challenge of being human and the incredible capacity we have for loving kindness. It's about the practice of returning to what matters again and again.This episode is for anyone wondering if there's more to leadership, happiness, and being human than what we've been taught.For more of Rasmus' work:Potential Project: https://www.potentialproject.com/Books: https://www.potentialproject.com/resources#01-books LinkedIn: https://www.linkedin.com/in/rasmushougaard/For more from Mark McCartney:Newsletter: https://www.whatisagood.life/Website: https://www.mmcleadership.com/LinkedIn: https://www.linkedin.com/in/mark-mccartney-14b0161b4/YouTube: https://www.youtube.com/@whatisagoodlifeInstagram: https://www.instagram.com/markcmccartney00:00  Why Aren't We Happy?05:30  Finding a Practice at Seventeen11:45  Wisdom in Himalayan Culture17:20  Life's Purpose from Tragedy24:30  Meeting Bodhisattva Charles31:15  Our Innate Human Goodness37:40  The Difficulty of Being Human43:10  Forced Surrender and Self-Compassion48:25  Transformation in Corporate Spaces52:15  Multiple Lives, Less Pressure54:30  What is a Good Life for Rasmus?

Auf einem der sieben Welttümpel schippern der gefährliche Pirat Rasmus Rotbart und die Lachmöwe Lavina umher. Wie immer möchte Rasmus seine Rum-Kanonenkugel abfeuern, aber die Rumkugeln sind alle. Rasmus und Lavina wollen neue backen. Doch irgendjemand hat an den Vorräten geknabbert. Das Sandmännchen hat dir aber nicht nur diese Geschichte mitgebracht, sondern auch noch das Kinderlied “Die Teichpiraten”.

Lytteren Rasmus har fået sit første job som leder, men er landet i et næsten militært og stærkt hierarkisk arbejdsmiljø. Skal han kaste håndklædet i ringen, før det slider ham op? Eller bliver han og kæmper for at sætte sit eget præg? Det er et af de dilemmaer, vi tager op i denne uges afsnit af Karriereklubben. Derudover taler vi også om, hvordan man søger job som gravid – og hvordan man håndterer at blive kontorets uofficielle skraldespand for andres kedelige opgaver.Ugens panel består af: Gine Maltha Kampmann, CEO i tænketanken Equalis Mikkel Serverin, forfatter, foredragsholder og coach Karina Tewes, Chief People & Culture Officer hos Milestone Vært: Caroline Rossmeisl Podcastredaktør: Kasper SøegaardSee omnystudio.com/listener for privacy information.

Alternative Visions - 2-6-26 - Today's show discusses the contractions in asset markets this past week and the causes underlying and potential contagion across them: AI driven S&P500 and Nasdaq stock markets, Bitcoin & Cryptos markets, and Gold and Silver markets. The current contractions vs. past 3 years performances in each are described. What's behind the February crashes. Will they now stabilize? Why more churn is coming. The real causes and risks behind the massive $700B big 7 Tech corps AI gamble underway. What's driving the gold and silver bubbles, long term and short. Second half of the show debunks claims made by Trump in his January 31 Wall St. Journal article about the state of the real US economy. Why the real data don't support his exaggerations and lies.

Alla snackar potatis just nu (i alla fall i Tyskland)! Vi hör lyssnarnas historier apropå potatis. Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Helen är potatisbonden som kan ALLT om potatis, Lindas son blev bästa vän med en potatis som fick bo i en bananlåda bredvid sängen och Kenneth föddes i princip i potatislandet och fick därmed smeknamnet ”Potatisprinsen”.I extra materialet slår Anna ett slag för att färdig potatisgratäng ändå är gott och Saga berättar om sin fars potatis-staty.

Fluent Fiction - Danish: Søren's Stew: A Culinary Quest Through a Winter Wonderland Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2026-02-05-08-38-20-da Story Transcript:Da: Sneflokke dansede let fra himlen, og skovbunden var et hvidt tæppe.En: Snowflakes danced lightly from the sky, and the forest floor was a white carpet.Da: Søren stod ved skovkanten nær København, klar til at tage på jagt efter ingredienser til en vintergryde.En: Søren stood at the edge of the forest near København, ready to hunt for ingredients for a winter stew.Da: Det var ikke nogen almindelig gryde.En: It wasn't just any stew.Da: Søren ville imponere sin tante, en berømt kok.En: Søren wanted to impress his aunt, a famous chef.Da: Ved hans side stod Lise, hans trofaste ven, og Rasmus, hans energiske lillebror.En: By his side stood Lise, his faithful friend, and Rasmus, his energetic little brother.Da: "Vi skal finde de bedste vilde urter og svampe," sagde Søren med et smil.En: "We need to find the best wild herbs and mushrooms," Søren said with a smile.Da: "Det er vigtigt for smagen."En: "It's important for the taste."Da: "Men se, hvordan sneen ligger! Det kommer til at tage år," mumlede Rasmus og skævede til Lise.En: "But look at how the snow covers everything! It's going to take forever," mumbled Rasmus, glancing at Lise.Da: "Vi kan bare bruge nogle købeurter."En: "We could just use store-bought herbs."Da: Lise så på Søren.En: Lise looked at Søren.Da: "Vi kan klare det.En: "We can do it.Da: Vi er her for at hjælpe dig," sagde hun opmuntrende.En: We're here to help you," she said encouragingly.Da: Skoven var stille.En: The forest was silent.Da: Kun lyden af deres skridt og vinden der susede mellem de nøgne træer kunne høres.En: Only the sound of their footsteps and the wind whispering through the bare trees could be heard.Da: Søren gik forrest, mens han kiggede efter de urter, han vidste kunne gemme sig under sneen.En: Søren led the way, looking for the herbs he knew might be hiding under the snow.Da: Lise bar en kurv, parat til at samle, hvad de måtte finde.En: Lise carried a basket, ready to gather whatever they found.Da: Efter en times vandring, pegede Rasmus ivrigt på en mosklædt stub.En: After an hour's walk, Rasmus eagerly pointed at a moss-covered stump.Da: "Hvad med dem der? De ser nemme ud," sagde han.En: "What about those? They look easy to get," he said.Da: "Nej," sagde Søren bestemt.En: "No," said Søren firmly.Da: "De er ikke de rigtige.En: "They're not the right ones.Da: Vi skal bruge de stærke og duftende urter."En: We need the strong and fragrant herbs."Da: Selvom Rasmus klagede, fortsatte Søren sin søgen.En: Even though Rasmus complained, Søren continued his search.Da: Pludselig stoppede han op.En: Suddenly, he stopped.Da: Der, under et lag sne, fandt han en lille plet med de rigtige urter.En: There, under a layer of snow, he found a small patch of the right herbs.Da: Lise hjalp ham med at grave dem frem, mens Rasmus skævede misfornøjet til et urteskud.En: Lise helped him dig them out, while Rasmus looked grumpily at a sprig of herb.Da: "Så mange anstrengelser for nogle dumme urter," mumlede Rasmus.En: "So much effort for some silly herbs," mumbled Rasmus.Da: Men Søren, fyldt med stolthed, svarede blot, "Det er det hele værd."En: But Søren, filled with pride, simply replied, "It's all worth it."Da: De vendte tilbage til Søren og Rasmus' hjem, hvor Søren straks gik i gang med at lave gryden.En: They returned to Søren and Rasmus' home, where Søren immediately started on the stew.Da: Duften af friske urter spredte sig hurtigt i køkkenet.En: The aroma of fresh herbs quickly spread in the kitchen.Da: Efter timer ved komfuret var retten klar.En: After hours at the stove, the dish was ready.Da: Søren serverede den til sin tante, der tog en mundfuld og smilede bredt.En: Søren served it to his aunt, who took a bite and smiled widely.Da: "Dette er virkelig enestående," sagde tanten og så på Søren med beundring.En: "This is truly exceptional," said the aunt, looking at Søren with admiration.Da: "Du har gjort op med min forventning. Jeg kan smage, hvor friske urterne er."En: "I can taste how fresh the herbs are."Da: Søren smilede lykkeligt.En: Søren smiled happily.Da: Han havde lært, at tålmodighed og dedikation gav de bedste resultater.En: He had learned that patience and dedication brought the best results.Da: Lise klappede ham på skulderen, og selv Rasmus lignede én, der havde lært noget værdifuldt.En: Lise patted him on the shoulder, and even Rasmus seemed to have learned something valuable.Da: Skoven lå nu bag dem, men timerne tilbragt der havde givet Søren en lærestreg om værdien af at holde fast i sine principper, selv når vejen blev svær.En: The forest now lay behind them, but the hours spent there had taught Søren a lesson about the value of sticking to one's principles, even when the journey gets tough.Da: Med en varm gryde samledes de omkring bordet, glade for Søreks sejr over ikke kun skoven, men også sig selv.En: With a warm stew, they gathered around the table, pleased with Søren's triumph over not only the forest but also himself. Vocabulary Words:snowflakes: sneflokkedanced: dansedeforest: skovingredients: ingredienserimpress: imponerefaithful: trofasteenergetic: energiskeherbs: urtercovers: liggerstump: stubfragrant: duftendepatch: pletpride: stolthedaroma: duftexceptional: eneståendeadmiration: beundringpatience: tålmodigheddedication: dedikationprinciples: principperjourney: vejtriumph: sejrcarpet: tæppewhispering: susedegather: samlesilly: dummemumbled: mumledevaluable: værdifuldtencouragingly: opmuntrendesmile: smilbite: mundfuld

In this powerful conversation, I connect with my friend Rasmus, a man who has walked the path from high-performance business leadership to deep emotional and spiritual awakening. From his beginnings as an elite athlete and fitness entrepreneur to his evolution into a father and men's mentor, we explore what it truly means to lead from the inside out. Rooted in the theme of Men's Development & Conscious Leadership, this dialogue is heart-centered, deeply personal, and grounded in practices that cultivate presence, vulnerability, and real power.Rasmus shares how divorce became his greatest teacher—opening him to grief, humility, and radical self-honesty—and how those lessons now inform his men's work. We talk about breaking cycles of pain and overachievement, the difference between performance and embodiment, and why turning inward often reveals more strength than chasing external success. We also explore conscious parenting, the courage it takes to re-pattern family dynamics, and how healthy sexuality emerges when men face their wounds with compassion and accountability.Throughout the episode, we offer practical pathways: slowing down to listen to the body, tending to the nervous system, practicing clean communication, honoring boundaries with love, and redefining success through integrity and connection. If you're seeking balance, presence, or a more grounded way to lead—in your work, relationships, or fatherhood—this conversation invites you to meet yourself more fully and lead with an open heart. [b]Chapters[/b]0:02 - Welcome to Love, Sex and Leadership1:17 - From Elite Sports to Health Leadership4:47 - Lessons from Divorce and Business Success7:53 - Chasing Money vs Finding Happiness17:01 - Finding Strength Through Divorce24:39 - Learning from a Dysfunctional Childhood25:15 - Staying Together for the Children?31:09 - Fatherhood and Talking About Sex34:46 - Men, Pornography, and Self-Awareness36:25 - Understanding Sex and Pornography44:07 - The Power of Being Vulnerable46:16 - Healing After Divorce56:29 - A Closing Moment of Gratitude

Hur har sättet vi arbetar på egentligen förändrats och vad kräver det av organisationer, ledare, medarbetare och studenter? Idag gästar Rasmus Solholm, vd på Goalplan och grundare av Freelance Mornings. Ett samtal om Future of Work, AI och hur nya arbetssätt, förväntningar och beteenden redan är här och vad det betyder för hur vi bör tänka kring våra karriärer framåt. Glöm inte prenumerera på podden och följ oss på instagram.

Rasmus Jørgensen er arkitekt og fagsjef i Arkitektbedriftene, og i denne episoden snakker han og Alexander om hva Arkitektbedriftene gjør for faget, hva er ambisjonene og fremtidsutsiktene, de lange linjene, det daglige virket og hvordan arkitektrollen utvikler seg. Les mer fra Rasmus her: Arkitetur - timepris er utdatert i møte med digitale verktøy.  Arkitektur - Temutilstander i offentlige anskaffelser Les mer om Arkitektbedriftene her.   Og om prosjektet Arkitektur skaper verdi her.  Alexander nevner også denne nettsiden for interessante ideer for plan og stedsutvikling byplanlab.dk Send oss ideer og tilbakemeldinger til atr@lpo.no og følg oss på Instagram da vel!

Danmark er Europamester. Og holder nu som den blot anden nation i historien på herresiden alle tre titler. Kvinderne har gjort det før. Nu er de danske herrer firedobbelte verdensmestre, olympiske mestre og europamestre. Vi runder finaleweekenden med ligatræner Rasmus Vandbæk, taler om det danske EM-guld og alt det som lykkedes for de rød-hvide i en vild atmosfære i Boxen i Herning. Nu gør vi status og siger farvel efter en fantastisk slutrunde. Gæst: Rasmus Vandbæk Vært: Thomas Ladegaard *Udsendelsen er bragt i samarbejde med Sparekassen Kronjylland og Sparinvest*

00:00-20:00: Buffalo Sabres insider Bill Hoppe breaks down the team still rolling after the 10-game win streak, what the future goaltending situation looks like, some of the prospects finally panning out, Tage and Rasmus dominating, how fast they looked in Toronto and more. Thanks to Batavia Downs Gaming and Stanley Law Offices. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Gold prices are accelerating, the US dollar falling, and Trump announces a new Fed chair who will lower Fed short term rates soon. What's the effect between all three? Will the gold bubble continue? Will the dollar continue to devalue? What will lowering Fed rates mean for both? What's the connection to four decades of financialization and globalization of US capitalism. The growing contradictions (and instability) in US monetary policy is a hallmark of the current period. What does this mean for the US empire's global economy weakening?

Årets första bingo tillägnar vi våra kära djur! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Vi efterlyser:En ko i HjoEn tik i RättvikEn tupp i SkurupEtt sto i ÖrebroOch en vandrande pinneKommer vi klara bingo?!

About Rasmus Holst:Rasmus Holst is the CEO of Zensai (formerly LMS365), where he built a learning management business from $0–30M ARR, bootstrapped, completed three acquisitions, and pioneered the “Human Success” category as a replacement for Human Resources. He has been part of management teams delivering exits just shy of $1bn, raised +$50m for companies like Wire and Huddle, and worked across PE-backed (Carlyle, Warburg Pincus) and VC-funded (General Atlantic, Index, Vertex, Morpheus, Iconical) environments.His experience spans scaling start-ups from zero revenue, operating +$300M Lines of Business at Syniverse, and leading branding and B2B storytelling efforts, including Zensai's Red Dot Award and Great Place to Work recognition. Rasmus has managed global teams across 14 countries, traveled to +100 nations, and lived in Denmark, Luxembourg, and San Francisco, making him a leader with a uniquely international view on culture, growth, and balance. In this episode, Dean Newlund and Rasmus Holst discuss:Turning HR into Human Success and redefining what organizations measureLinking performance, learning, and engagement into one real-time scoreFeedback rituals and kudos culture as engines of team identityMeasuring soft skills through sentiment and peer behaviorAI as a teammate that amplifies human contribution instead of replacing it Key Takeaways:Replace annual HR lag metrics with weekly human success check-ins tied to learning, performance, and engagement.Institutionalize positive feedback (e.g., weekly kudos) to normalize critique, build confidence, and surface soft-skill leaders.Track soft skills through peer sentiment and recognition patterns rather than relying solely on manager evaluations.Use generationally agnostic baselines (showing up as a good human and delivering success) to align multicultural/global teams. "There's a high correlation between people who get a lot of kudos and those who are really good at a lot of soft skills.” — Rasmus Holst Connect with Rasmus Holst:  Website: https://zensai.com/LinkedIn: https://www.linkedin.com/in/rasmusholst/    See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

Spenderbyxorna är på igen! Dags att fortsätta berättarstafetten om våra dummaste köp. Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Sara råkade köpa en vedklyvare i miniformat, Ronny budade på auktion och fick av misstag hem 60 pizzaspadar, och vi följer Anna-Gretas kamp för att få upp sin nyinköpta kokosnöt!Vi ringer också upp vår kompis, städinfluencern Kevin Florström, som delar med sig av sina bästa tips för hur man får vinglasen skinande rena. I extramaterialet berättar Rasmus om när han tappade bort sin mosters bh på en strand i Frankrike – men plötsligt får vi höra att den kanske befinner sig på en norsk skidort!

Spontanköp, felköp eller när det helt enkelt inte blev som man hade hoppats på vi pratar om våra dummaste köp! Lyssna på alla avsnitt i Sveriges Radios app. Ett nyfiket och underhållande aktualitetsprogram med lyssnaren i fokus.Vi hör bland andra Karsten, som köpte en get för tio kronor, Annika vars premiär-lövblåsning stoppades av moder natur, och superbudaren Johan som råkade köpa upp ett helt lager av elektronik!I extramaterialet pratar vi om både usla och lysande klädköp, drönare – och Henkes rockstjärnedrömmar!

The boys are BACK talking hackers and scammers, Chara jersey retirment, past week of games, trade scenarios, Rasmus andersson not a Bruins, trade Hagens? ++ PLENTY more . Make sure to follow us on twitter @OnlyBruinsPod @DowntownBoosy2 @BrettHoward_ @BobbieBrewski. Follow us on tiktok @onlybruinsFollow us on instagram @OnlyBruins_Follow us on Youtube @OnlybruinspodcastMake sure to check out our Pure hockey link and get the best hockey gear out there! https://alnk.to/bisa9vc

 Today's show reviews recent announcements re. Big US banks record profits, highest ever, the Federal Reserve attack by Trump, and the disappearing War Powers Act. Has Trump halted his plans to attack Iran? What now with Greenland as Europe sends military contingents to that country? What about Act 2 for Venezuela? More economic and political instability coming in 2026

FULL EPISODE | FN Barn Burner: Boomer, Pinder & WarrenerTIMESTAMPS ⏰1:00 Intro Ban4:30 Flames6:00 Backlund13:30 Dreger Joins14:00 Rasmus Andersson29:00 Coleman Kadri38:00 Sellers Market39:30 St. Louis 42:00 Dougie Hamilton45:00 Linus 47:00 Dreger Out48:00 Rasmus Dragging Out59:00 Fasting01:01:00 Pinder Report01:34:00 Football Picks01:46:00 SuperchatsSubscribe to TNN on Youtube

FULL EPISODE | FN Barn Burner: Boomer, Pinder & WarrenerTIMESTAMPS ⏰1:00 Intro Banter10:00 Rasmus13:00 Rebiggle Shirt19:00 Flames vs Hawks23:00 Cooley25:00 Hawks Team32:00 Flames Player Stats39:00 Canucks48:30 Huberdeau Sucks54:00 More Rebiggle59:00 Pinder Report01:31:00 Bet36501:34:00 SuperchatsSubscribe to TNN on Youtube

Hour 2 of the Big Show with Rusic and Rose is on demand! To kick off the hour the guys are joined by Big Show Flames Analyst and Media Superstar, Brent Krahn! Krahn helps the guys break down the Flames 4-3 loss in Columbus last night. They get into the play of Dustin Wolf and if there is reason for concern. Next, they touch on Rasmus Andersson's game last night and if it could be a sign of things to come.(27:13) Later on, the guys stary on the Rasmus Andersson conversation. We hear from pat Steinberg on Flames Talk Postgame last night where Pat speaks on if we are getting closer to an Andersson trade. The guys then go in on what it would mean to see Rasmus be traded and how far they've seen Andersson come since the Flames drafted him. The guys then look at other guys who the Flames could possibly trade away as the deadline approaches.The views and opinions expressed in this podcast are those of the hosts and guests and do not necessarily reflect the position of Rogers Media Inc. or any affiliate. Get full Flames games and great shows like Quick 60: The Stamps Show, Wranglers Watch and more ON DEMAND.

Ryan Gilbert, Joe DeMarini, and Jacob Russell discuss the Flyers' bad losses to the Lightning, what they should do with Sam Ersson and the goaltending situation, the Rasmus Ristolainen rumors, and more! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Alternative Visions with Jack Rasmus 1-9-26