Podcasts about Arvid

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

Guenther Steiner, Matt, and Brian break down the unreal opening race of the 2026 Formula 1 season. From Mercedes looking unstoppable, to questionable Ferrari strategy, to Arvid's killer debut, the Melbourne season opener gave us a lot to talk about. Guenther also names his Rockstar and Wanker of the Week, reacts to Aston Martin's nightmare weekend, and weighs in on the new 2026 F1 power unit regs and whether they're actually good for racing. Plus, our Chinese GP predictions.Chapters: 2:38 - Rockstar & Wanker 10:12 - New Regs Verdict 22:45 - Is Merc Unbeatable? 35:18 - Who's Sandbagging? 45:28 - Gas or Brake? 1:00:27 - Chinese GP Prediction Learn more about your ad choices. Visit megaphone.fm/adchoices

När Anton Bergman var som djupast i spelmissbruket hade han slutat bry sig om sin lillebror- helt enkelt eftersom Arvid inte hade några pengar att låna ut. För Anton tuggade missbruket i sig allt fler och större delar av tillvaron, tills det nästan dödade honom. Idag befinner sig både Anton och Arvid i tillfrisknande från beroendet, och medberoendet. Bröderna är två levande bevis på att förändring är möjlig, och att det går att laga och läka även det som verkar fullkomligt hopplöst.

It's RACE WEEK for the 2026 Australian Grand Prix. FINALLY, we have a race, but will we have a race at the Albert Park after all? Soumil Arora and Kunal Shah predict the outcomes from the 2026 Australian Grand Prix. Hold onto your helmets—Formula One is racing toward a future that's equal parts innovation, chaos, and caffeinated predictions. Imagine a sport where close overtakes, sneaky energy management, and “Flappy Wings” are the norm, not the punchline. 0:03 - Odyssey into the future of F1 – the Inside Line F1 pod vision for a sustainable, battery-enabled future. 0:28 - Dreaming up a new F1 – closer overtaking, budget cap, new manufacturers, and the question of it being good. 0:55 - The journey begins – is this new era good, who sets the pace, how many cars finish first? 1:16 - Drinking-game framing – first: modes, Flappy Wings, and energy talk as a playful premise for the episode. 2:12 - Key terms introduced – overtaking mode, boost mode, straight mode; why these matter and the energy conversation that follows. 3:00 - Energy harvesting context – Melbourne vs. Monza, four-megajoule storage, eight-and-a-half-megajoules per lap regen, and what changes in 2026. 3:34 - Fuel homologation discussion – what's homologated and the questions around first-race winners. 4:02 - First predictions – who wins the first race; Mercedes fuel homologation considerations. 4:56 - Podium predictions – two Mercedes–powered cars on the podium, with speculation on McLaren/others. 6:13 - Fan comments and realism – how viewers like Sadhana and Sarika weigh in on predictions. 7:12 - Finishing expectations – a spirited debate on how many cars will finish (DNFs vs finishers). 9:00 - Melbourne energy-regeneration deep dive – circuit characteristics, braking opportunities, and how regen shapes strategy. 10:52 - Battery dynamics explained – energy storage, harvesting per lap, and the concept of regen-driven performance. 12:21 - The frontier of energy management – why this topic matters and how it could redefine racing narratives. 14:07 - Overtakes and braking discipline – how many drivers will lock up; the evolving definition of a genuine overtake. 15:26 - Russell's win narrative and pole talk – pole favorites and the evolving lookout for race Winners. 16:23 - Leclerc/Russell statistics and overtake dynamics – how specs, grip, and battery affect racing reality. 18:45 - Overtake counts – bold predictions: 30 vs 60+ overtakes; chaos vs merit-driven moves. 22:29 - Grid-start drama – Bottas' start, grid penalties, Cadillac/Audi implications, and what the open grid could imply. 24:20 - McLaren and midfield chatter – Norris vs Piastri; where McLaren stands in the new era. 28:34 - Teammates and competitiveness – Verstappen vs Russell-era dynamics, gap analyses, and team strategies. 32:03 - Car lights and signaling – post-harvest indicators; what the lights tell us about energy deployment on track. 34:20 - Qualifying predictions – pole contenders, gaps, and the contested under/over one-lap pace in a resource-constrained era. 41:24 - Ex-racer watch – ex-driver-to-watch picks and the role of new racers like Arvid in 2026. 42:59 - Broadcast graphics and on-track SM boards – visualization of straight modes vs overtakes, and the new cadence of racing graphics. 46:38 - Upgrades and the Aston Martin case – who brings upgrades and what the Macarena wing debate hints at for Australia. 49:09 - Concorde-like commitments and Aston Martin – regulatory/operational imperatives and the potential penalties. 50:36 - Final wrap – what we want to leave Melbourne GP feeling like; closing notes and race-weekend expectations. 52:29 - Closing – post-Australia reflections and wrap-up cues. #F1 #F12026 Learn more about your ad choices. Visit megaphone.fm/adchoices

Die Marke Simson ist beliebt. Klar, es müffelt schon ein bisschen nach Zweitaktmotor, wenn man hinterher fahren muss. Aber: So richtig etwas dagegen haben, das fällt schwer. Simson steht für Freiheit auf zwei Rädern, jugendliche Unabhängigkeit und 60 Kilometer pro Stunde bei 50 Kubikzentimeter Hubraum. Kaum denkbar eigentlich, dass es um diese sympathische Marke Streit geben kann. Doch den gibt es. Einen politischen, kulturellen, gesellschaftlichen - und allen voran persönlichen. Zwischen Nachfahren der jüdischen Gründefamilie Simson und der AfD. Die Familie wirft der in fünf Bundesländern als rechtsextrem eingestuften Partei vor, den Namen politisch zu vereinnahmen, etwa bei Plakaten mit Aufschriften wie „Lieber Simson statt Lastenrad“. Die Partei weist das zurück. In dieser Folge „Thema in Sachsen“ von Sächsischer Zeitung und Leipziger Volkszeitung wird den Fragen nachgegangen, die sich jetzt stellen: Was steckt hinter dem Konflikt? Wie wird es damit weitergehen? Und: Wie sehr beschäftigt das Ganze eigentlich diejenigen, die Fan der Marke Simson sind und einfach nur Moped fahren? Podcast-Host Fabian Deicke spricht über all das mit Investigativreporter Josa Mania-Schlegel. Der hat unter anderem mit Dennis Baum in New York telefoniert. Baum ist Großneffe der früheren Eigentümerfamilie, die 1936 im Zuge der damaligen „Arisierung“ von den Nationalsozialisten enteignet wurde - und fliehen musste. Baum, 80 Jahre alt, früher Investmentbanker, ist im Podcast zu hören. Die Verwendung des Namens Simson durch die AfD nennt er „skurril“ und empfindet es als „eine absolute Beleidigung für das Erbe unserer Familie“. Doch kann er etwas dagegen tun? Und wie erfolgsversprechend sind rechtliche Schritte gegen die AfD? Der Podcast gibt Antworten. Insbesondere wird nachgeforscht, welche Rolle Markenrechte, Treuhand-Verträge aus der Wendezeit und die Nachfolgegesellschaft der einstigen DDR-Betriebe spielen. Josa Mania-Schlegel ordnet die juristischen Hintergründe ein – und macht deutlich, dass es für diesen Streit wohl weder eine schnelle noch einfache Lösung geben könne. Und was sagen eigentlich Simson-Fans zu alldem? In Gröditz im Landkreis Meißen leben Justin, Arvid und Gregor. Drei Jugendliche, die seit sie 15 Jahre alt waren, den Führerschein haben und Moped fahren. Wie nehmen die Jungs die Debatte wahr? Stört sie daran etwas? Und wie wichtig ist für sie ihre "Simme"? Spoiler: Das Moped ist ihnen sehr wichtig - und zu der Debatte haben sie eine klare Meinung. Schließlich analysiert auch Politikwissenschaftler Janek Treiber von der TU Dresden den Markenstreit. Schadet das der AfD? Wieso ist die Partei immer wieder mit Ostalgie und der Verklärung der DDR-Geschichte erfolgreich? Und interessiert es eigentlich die Wähler, dass die Partei den Namen Simson, der auf eine jüdische Unternehmerfamilie zurückgeht, für sich nutzt? Die Antworten darauf gibt es im Podcast - inklusive reichlich Geknatter von S51, S50, Schwalbe und Co.

Studio Direkte på TV-Visjon Norge gir et innblikk i misjonsarbeid i Europa med Arvid Åsen og teamet hans. Programmet fokuserer på deres tjeneste 'Jesus to Europe' og hvordan de arbeider for å spre evangeliet. Vi møter teammedlemmene, hører deres vitnesbyrd og ser hvordan de lever sin tro i praksis. Dette er et inspirerende program som viser kraften i tro, fellesskap og misjon.

Fluent Fiction - Swedish: A Snowy Stockholm Encounter: Uncovering History and New Love Find the full episode transcript, vocabulary words, and more:fluentfiction.com/sv/episode/2026-02-17-23-34-02-sv Story Transcript:Sv: Vintern i Stockholm var kall och snön föll lätt över staden.En: The winter in Stockholm was cold and the snow fell lightly over the city.Sv: Inne på Vasamuseet, bland de stora trämasterna och de intrikata snidade detaljerna av det magnifika skeppet, samlades en grupp besökare för en guidad tur.En: Inside the Vasamuseet, among the great wooden masts and the intricately carved details of the magnificent ship, a group of visitors gathered for a guided tour.Sv: I gruppen stod Elin, som just nu kände sig som en skör och osäker skugga av sig själv.En: In the group stood Elin, who at the moment felt like a fragile and uncertain shadow of herself.Sv: Historian hade alltid varit hennes tillflykt, särskilt efter en smärtsam separation.En: History had always been her refuge, especially after a painful separation.Sv: Elin bestämde sig för att följa med på visningen istället för att vandra runt på egen hand.En: Elin decided to join the tour instead of wandering around on her own.Sv: Något inom henne längtade efter förändring, efter den värme och gemenskap som hon en gång känt.En: Something within her longed for change, for the warmth and community she once felt.Sv: Hon var klädd i en varm kappa och bar sina favoritvantar, ett par som hennes mormor hade stickat åt henne.En: She was dressed in a warm coat and wore her favorite mittens, a pair her grandmother had knitted for her.Sv: Inte långt därifrån stod Arvid.En: Not far away stood Arvid.Sv: Han kände sig både inspirerad och ensam i sitt arbete som ingenjör.En: He felt both inspired and lonely in his work as an engineer.Sv: Fartygskonstruktion fascinerade honom, och han sökte nya idéer till ett projekt.En: Ship construction fascinated him, and he was seeking new ideas for a project.Sv: Hans kollega Sofia, alltid optimistisk och stödjande, hade föreslagit museet som ett bra ställe att starta.En: His colleague Sofia, always optimistic and supportive, had suggested the museum as a good place to start.Sv: Guiden började berätta om skeppets historia och hur det en gång färdades på Östersjöns vatten.En: The guide began to tell the history of the ship and how it once sailed on the waters of the Baltic Sea.Sv: Elin drogs in i berättelsen, och när hon sneglade runt såg hon Arvid, som också verkade djupt försjunken i historien.En: Elin was drawn into the story, and when she glanced around, she saw Arvid, who also seemed deeply absorbed by the history.Sv: Sofia hade rätt.En: Sofia was right.Sv: Tanken på skeppet Vasa och dess tragiska öde hade inspirerat honom mer än han förväntat sig.En: The thought of the ship Vasa and its tragic fate had inspired him more than he expected.Sv: Då möttes Elins och Arvids blickar kort.En: Then Elin's and Arvid's eyes met briefly.Sv: Ett blygt leende utbyttes, och en nyfikenhet vaknade.En: A shy smile was exchanged, and a curiosity awakened.Sv: Efter en stunds tvekan, vid en särskilt detaljerad modell av skeppet, vågade Arvid närma sig Elin.En: After a moment's hesitation, by a particularly detailed model of the ship, Arvid dared to approach Elin.Sv: "Intressanta detaljer på kanonerna, eller hur?"En: "Interesting details on the cannons, don't you think?"Sv: sa han lite nervöst.En: he said a little nervously.Sv: Elin nickade.En: Elin nodded.Sv: "Ja, verkligen fascinerande.En: "Yes, really fascinating.Sv: Jag undrar vilka historier de har att berätta."En: I wonder what stories they have to tell."Sv: Deras samtal flöt naturligt, och innan de visste ordet av hade de förlorat sig i diskussionen kring de tekniska detaljerna och historiska kontexterna som omgett skeppet Vasa.En: Their conversation flowed naturally, and before they knew it, they had lost themselves in a discussion about the technical details and historical contexts surrounding the ship Vasa.Sv: Under en särskild livfull diskussion om en segelsats krockade de mot varandra av misstag, vilket resulterade i oavsiktlig skratt.En: During a particularly lively discussion about a set of sails, they accidentally bumped into each other, resulting in unintended laughter.Sv: Det förflöt ett ögonblick av magi, som brusade bort den kyliga distansen de hade känt inombords.En: A moment of magic passed, which washed away the cold distance they had felt inside.Sv: Skrattet lättade deras hjärtan, och allt verkade plötsligt möjligt.En: The laughter lightened their hearts, and suddenly everything seemed possible.Sv: Elin kände en glädje hon inte upplevt på länge.En: Elin felt a joy she hadn't experienced in a long time.Sv: Arvid blev uppmärksam på hur socialt interagerande kunde skänka energi och inspiration till hans kreativa arbete.En: Arvid became aware of how social interaction could bring energy and inspiration to his creative work.Sv: Innan de skiljdes åt för dagen, utbytte Elin och Arvid kontaktinformation.En: Before they parted for the day, Elin and Arvid exchanged contact information.Sv: De lovade att ses igen, kanske en kopp kaffe för att fortsätta diskutera sin delade passion.En: They promised to meet again, perhaps for a cup of coffee to continue discussing their shared passion.Sv: Medan de lämnade museet, kände sig båda lättare, bärandes en känsla av framtida möjligheter och kanske en ny kärlek.En: As they left the museum, both felt lighter, carrying a sense of future possibilities and perhaps a new love.Sv: Stockholms snöiga vinternatt omfamnade dem, och Vasamuseet, som nyligen hade bevittnat början på denna nya vänskap, stod stadigt kvar som ett tyst men väldefinierat vittne.En: Stockholm's snowy winter night embraced them, and the Vasamuseet, which had just witnessed the beginning of this new friendship, stood steadily as a silent but well-defined witness. Vocabulary Words:winter: vintermagnificent: magnifikagathered: samladesguided: guidadintricately: intrikatafragile: skörrefuge: tillflyktseparation: separationwandering: vandralonged: längtadewarmth: värmecommunity: gemenskapinspired: inspireradlonely: ensamengineer: ingenjörconstruction: konstruktionfascinated: fascineradeproject: projektsupportive: stödjandetragedy: tragiskahesitation: tvekanapproach: närma sigcannons: kanonernacuriosity: nyfikenhetconversation: samtaltechnical: tekniskacontext: kontextbumped: krockadeunintended: oavsiktliginteraction: interagerande

What happens when the seeds you planted eighteen months ago finally start breaking through? In this episode, Arvid shares how Podscan's long-term investments are compounding—from programmatic SEO earning backlinks from major publications to an OP3 integration improving data fidelity across millions of podcasts. He also talks about how agentic coding tools helped him migrate to OpenSearch, a system he never would have touched on his own, and the semi-automated 10-80-10 workflows that are freeing him up for higher-leverage work.This episode of The Bootstraped Founder is sponsored by Podscan.fmThe blog post: https://thebootstrappedfounder.com/when-long-term-investments-finally-pay-off/ The podcast episode: https://tbf.fm/episodes/436-when-long-term-investments-finally-pay-offCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Onsdag 11. februar kalla ImF Sunnmøre inn til eit ekstraordinert årsmøte. I innkallinga til det ekstraordinære årsmøtet innstiller krinsstyret forslag til vedtak, at ImF Sunnmøre sel Orreneset Misjonssenter til Bjørn Valderhaug og Kristine Solstad under føresetnad av at ein salsavtale ivaretek intensjonane i saksutgreiinga til årsmøtet. Det var stort engasjement på det ekstraordinere årsmøtet til ImF Sunnmøre onsdag 11. februar, då sal av Orreneset Misjonssenter stor på agendaen. Fleire tok til orde for at dette måtte utgreiast betre juridisk, også med tanke på klausular frå tidlegare vedhøyrande sal måtte gjennomgåast betre, samt klausular for misjonssenterets framtid med tanke på å kunne bruke leirstaden til misjonsverksemd. Det var viktig for utsendingane å få tryggleik for at Orreneset også i framtida vil vere ein misjonsstasjon. Det var 46 som stemte for å greie ut saka betre til eit nytt ekstraordinert årsmøte i slutten av april, og det var heile 29 som stemte mot sal av Orreneset misjonssenteret. Det var totalt 75 stemmerettiga utsendingar tilstades. Radio Sunnmøre var tilstades og tok ein prat med utsending Odd Frode Roaldsnes og Johan Per Sunde, samt styremedlem for Orreneset Håkon Hovda, og formann for Imf Sunnmøre Arvid Ødegård.   

Det är testvecka i Bahrain och Anna berättar vad hon vill och förväntar sig se på banan där testerna nu drar igång. Vi får en liten inblick livet på OS i Italien och alla svenskar uppmanas att heja på Arvid Lindblad och Småtjurarna denna säsong.

I dagens avsnitt får vi höra den spännande sagan "Spionklubben och den försvunna sommaren", önskad av Nikk, 7 år från Gustavsberg.Följ med på ett iskallt mysterium i Gustavsberg där spionklubben ställs inför sin svåraste utmaning hittills. Mitt i juli har hela världen plötsligt frusit till is, och det är upp till ledaren Collin, den smarta Arvid och den snabba klättraren Nikk att rädda sommaren. Spåren leder dem till en hemlighetsfull snögubbe i en igloo under vattentornet, men ju närmare de kommer lösningen, desto mer förstår de att allt inte är som det ser ut. En actionfylld berättelse om smarta spiontrick, modet att undersöka det okända och hur vänskap kan smälta även den hårdaste is.I kvällens avsnitt firar vi dessutom Paraplyets dag! Vi lär oss om paraplyets 2 400 år gamla historia, varför de förr i tiden kallades för "en Robinson" och hur spioner faktiskt har använt paraplyer som hemliga vapen.Stötta podden och få tillgång till nya sagor! Gå med i Magiska Godnattsagor-klubben!Skicka in förslag på kommande sagor via www.magiskagodnattsagor.seFölj oss på Facebook & InstagramSökord: magiska godnattsagor, godnattsaga, barn, läggdags, podcast för barn, barnlitteratur, ai, godnatt

After six months of building Podscan almost exclusively with Claude Code, Arvid shares the configuration and prompting strategies that make agentic coding actually work. From connecting Claude to your browser with the --chrome flag so it can visually inspect your app, to the "Ralph Wiggum loop" that keeps the agent iterating until a task is truly done, to the permission settings that prevent it from nuking your database—these are the practical lessons that separate productive Claude Code users from those constantly cleaning up messes. Plus: why testing is Claude Code's superpower, and how to build a system prompt that turns raw code generation into genuine collaboration.This episode of The Bootstraped Founder is sponsored by Podscan.fmThe blog post: https://thebootstrappedfounder.com/how-to-actually-use-claude-code-to-build-serious-software/ The podcast episode: https://tbf.fm/episodes/435-how-to-actually-use-claude-code-to-build-serious-software Check out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

*** Det här ett smakprov ur ett Patreon-exklusivt avsnitt, för att lyssna på hela avsnittet gå in på http://patreon.com/sinnessjukt ***I det tvåhundrasjuttiofemte avsnittet av podden pratar vi återigen om Nobelpristagaren Arvid Carlsson och psykofarmakologins födelse. Gäst är Kjell Fuxe. I den sista delen av tre pratar vi om Hans Corrodi, den schweiziske kemisten och språkgeniet som tillsammans med Arvid skapade världens första SSRI-läkemedel – Zelmid (zimelidin). Vem var Hans Corrodi och hur påverkade han svensk forskning? Vi får också höra om Kjells och Urban Ungerstedts arbete med serotonin och hur det väckte Arvids intresse för substansen.Kjell berättar därefter om varför han tror att Nobelpriset dröjde så länge, om den omvälvande resan till New York med Carlsson och Nils-Erik Andén, och varför han menar att schizofreni var den sjukdom som låg Arvid närmast hjärtat. Han berättar även om sina sista minnen av vännen och kollegan Arvid Carlsson.Om du vill kommentera avsnittet finns Christian på Twitter han heter c_dahlstrom, eller på Bluesky där han heter christiandahlstrom.bsky.social. Trevlig lyssning! Hjälp till att hålla merparten av avsnitten gratis och få tillgång till exklusiva avsnitt på: http://patreon.com/sinnessjukt Synka Patreon med Spotify: https://www.patreon.com/posts/sa-lyssnar-du-pa-34442592Köp signerade böcker och Beckomberga-printar här: https://vadardepression.seKöp Sinnessjukt-tishan här: http://sinnessjukt.se/butik Boka föreläsning här: http://vadardepression.se/forelasning-psykisk-ohalsa/ Hosted on Acast. See acast.com/privacy for more information.

L-Bone tells you everything you need to know about the lone 2026 Formula 1 debutante: VCARB's Arvid Lindblad. Thank you to my sponsor ShipStation: Try ShipStation free for 60 days with full access to all features - no credit card needed - with code BONE on https://www.shipstation.com Shop Formula Bone Merch: https://www.bolenmedia.com/shop/formula-bone Become a Formula Bone YouTube channel member to get your name shouted out: https://www.youtube.com/channel/UCAOFSwIi8EXEph8vS805-kQ/join Join 1,000+ members of the Bone Brigade in the Formula Bone Discord: https://discord.gg/YwsAtSCGNX Follow Formula Bone & L-Bone on all social media @FormulaBone & @JaredBorislow Original music by 7toMidnight Presented by Bolen Media: BolenMedia.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

On this episode of Nailing the Apex, Tim Hauraney is joined by Red Bull Red Bull Racing Team Principal Laurent Mekies, Racing Bulls Driver Liam Lawson, Racing Bulls rookie Arvid Lindblad, Racing Bulls CEO Peter Bayer, and VIAPlay's Nelson Valkenburg What Tim saw in Detroit this week (00:00) Red Bull Racing Team Principal Laurent Mekies joins the show! (16:06) Racing Bulls Liam Lawson joins the show! (19:43) Racing Bulls Arvid Lindblad joins the show! (25:05) Racing Bulls CEO Peter Bayer joins the show! (29:40) ViaPlay's Nelson Valkenburg breaks down the event and what he saw (34:40) Follow Nailing the Apex on TikTok and Instagram! Instagram - @nailingtheapex TikTok - @nailingtheapex Follow Tim Hauraney on Twitter / X: @TimHauraney Follow Adam Wylde on Twitter / X: @AdamWylde Visit https://sdpn.ca for merch and more. Follow us on Twitter (X): @sdpnsports Follow us on Instagram: @sdpnsports For general inquiries, email: info@sdpn.ca Learn more about your ad choices. Visit megaphone.fm/adchoices

Arvid Lodden 18/01/26 by Salem Stavanger

I det tvåhundrasjuttiofjärde avsnittet av podden pratar vi återigen om Nobelpristagaren Arvid Carlsson och psykofarmakologins födelse. Gäst är Kjell Fuxe. I den andra delen av tre beskriver Kjell Fuxe sina möten med legendariske farmakologen Bernard Brodie, Arvid Carlssons mentor. Kjell berättar om konflikten mellan Brodie och Carlsson och om hur USA-resan påverkade Arvids karriär.Christian frågar även om Arvids konflikt med farmakologen Oleh Hornykiewicz, ifall Kjell tycker att motiveringen till Carlssons Nobelpris var för snäv, och vad priset hade för betydelse för Arvid. Slutligen pratar vi om histologen Nils-Åke Hillarp, Arvids viktigaste samarbetspartner som möjliggjorde dopaminupptäckterna. Vem var han, varför beundrade Arvid Nils-Åke så mycket, och hur präglade sjukdomen den sista tiden innan Hillarp dog?Om du vill kommentera avsnittet finns Christian på Twitter han heter c_dahlstrom, eller på Bluesky där han heter christiandahlstrom.bsky.social. Trevlig lyssning!Del 1 av SvD-serien om schizofreni, med Mats och Linda: https://www.svd.se/a/Eydge5/mats-57-lever-med-schizofreni-vara-dr-jekyll-och-mr-hyde-hade-varit-enkeltDel 2 med Jens Hjerling-Leffler: https://www.svd.se/a/PpWB75/nytt-forskarhopp-om-att-losa-gatan-schizofreniDel 3 med Åsa Konradsson-Geuken och Robert McCutcheon: https://www.svd.se/a/yELr5e/asa-skamdes-och-hatade-sin-bror-med-schizofreni-forstHjälp till att hålla merparten av avsnitten gratis och få tillgång till exklusiva avsnitt på: http://patreon.com/sinnessjuktSynka Patreon med Spotify: https://www.patreon.com/posts/sa-lyssnar-du-pa-34442592Köp signerade böcker och Beckomberga-printar här: https://vadardepression.seKöp Sinnessjukt-tishan här: http://sinnessjukt.se/butik Boka föreläsning här: http://vadardepression.se/forelasning-psykisk-ohalsa/ Hosted on Acast. See acast.com/privacy for more information.

Betty and Christian are in Detroit at the launch of Red Bull, Racing Bulls and Ford's 2026 season - and what a lineup! Max Verstapen tells them whether he felt the love from the fans in 2025. There's a pod debut for Arvid Lindblad who tells us his hobby before quickly realising he probably shouldn't! And Isack tells us the one question he's itching to ask Max. Plus the big boss of Ford explains to us why they're coming back to F1 - and can't wait to start beef with Cadillac!We'll be back soon with more buildup to the 2026 season. And we've still got plenty more of our best bits to keep you busy until cars are back on track, with more Fast and Curious GOLD coming soon! Hosted on Acast. See acast.com/privacy for more information.

For our first ep of season ‘26 Rusty catches up with Supercars rising star Ryan Wood in the paddock at Hampton Downs. ‘Woody’ is stepping into an open wheeler over summer and we caught up with him on the eve of round 1 of the Toyota series that’s now badged CTFROT. There is a seriously impressive line-up here trying to follow in the footsteps of Arvid Lindblad who won the title last year on the way to a full time drive in Formula 1. (You can find Arvid’s shortcast ep in our library). The new F1 champ Lando Norris is another former graduate of this series.How Ryan is coping with the different demands of open wheel racing and how the MTEC crew wisely includes some of his colleagues from the Walkinshaw Supercars squad.Plus some thoughts on the new Supra he’ll race in the Supercars Championship this year and the ways Kiwi legend Greg Murphy helps him as he continues to climb the ladder.Head to Rusty's Facebook, Twitter or Instagram and give us your feedback and let us know who you want to hear from on Rusty's GarageSee omnystudio.com/listener for privacy information.

In this episode of Comic Crusaders Podcast, I sit down with Arvid Nelson, acclaimed writer of Rex Mundi, Zero Killer, and original fantasy works, to talk all about his latest universe-building project: The Band of the Crow. We explore how the idea formed, the mythic inspirations (William Morris, Lord Dunsany, Tolkien), and how Nelson designs the magic, the giants, the world after catastrophe. We get into the emotional heart of the story: the characters who carry hope, struggle, and survival. Plus: the ups and downs of crowdfunding, lessons learned from past works, and what he hopes this series will become over time whether it spawns adaptations, further books, or even multimedia explorations. Whether you're a fantasy lover, comic creator, or just curious about how grand stories are born this episode is packed with insight, inspiration & wizardry. 🎨 Be sure to check out: https://thebandofthecrow.com https://www.youtube.com/@crowfire.studios https://www.facebook.com/crowfirestudios Thank You for Watching / Listening! We appreciate your support! Episode 615 in an unlimited series! Host: Al Mega Follow on Twitter | Instagram | Facebook: @TheRealAlMega / @ComicCrusaders Make sure to Like/Share/Subscribe if you haven't yet: / comiccrusadersworld Twitch: / comiccrusaders Visit the official Comic Crusaders Comic Book Shop: comiccrusaders.shop Visit the OFFICIAL Comic Crusaders Swag Shop at: comiccrusaders.us Main Site: https://www.comiccrusaders.com/

I det tvåhundrasjuttiotredje avsnittet av podden pratar vi om Nobelpristagaren Arvid Carlsson och psykofarmakologins födelse. Gäst är Kjell Fuxe, seniorprofessor i histologi vid Karolinska institutet, som var en av Arvids närmaste kollegor och vänner. I den första delen av tre av intervjun frågar Christian hur Arvid var som forskare och person.Vi pratar även om Arvids betydelse för psykofarmakologin och de framsteg som gjorts i fältet sedan han bestämde sig för att ägna sig åt hjärnforskning. Christian frågar vilka Arvids främsta egenskaper var som forskare och vilken upptäckt Kjell anser vara Arvids största. Dessutom pratar vi om dopaminförsöken på 1950-talet och om resultaten utgjorde de första entydiga beläggen för kemisk signalering i hjärnan.Hjälp till att hålla merparten av avsnitten gratis och få tillgång till exklusiva avsnitt på: http://patreon.com/sinnessjukt Synka Patreon med Spotify: https://www.patreon.com/posts/sa-lyssnar-du-pa-34442592Köp signerade böcker och Beckomberga-printar här: https://vadardepression.seKöp Sinnessjukt-tishan här: http://sinnessjukt.se/butik Boka föreläsning här: http://vadardepression.se/forelasning-psykisk-ohalsa/ Hosted on Acast. See acast.com/privacy for more information.

Fluent Fiction - Norwegian: Finding Holiday Magic on the Cobblestone Streets of Amalfikysten Find the full episode transcript, vocabulary words, and more:fluentfiction.com/no/episode/2025-12-27-23-34-02-no Story Transcript:No: Det var en klar og kjølig vintermorgen på Amalfikysten.En: It was a clear and chilly winter morning on the Amalfikysten.No: Den skarpe vinden bar med seg lukten av sjø og sitron, og ga en følelse av at noe magisk var i luften.En: The sharp wind carried the scent of sea and lemon, and gave a feeling that something magical was in the air.No: Sigrid og Arvid spaserte nedover de brosteinsbelagte gatene, omringet av små butikker som var pyntet til jul.En: Sigrid and Arvid strolled down the cobblestone streets, surrounded by small shops decorated for Christmas.No: Trange smug og vingårdstrær i horisonten skapte en uforglemmelig scene.En: Narrow alleys and vineyard trees on the horizon created an unforgettable scene.No: Sigrid var dypt konsentrert.En: Sigrid was deeply focused.No: Hun ønsket å finne de perfekte gavene til sine kjære.En: She wanted to find the perfect gifts for her loved ones.No: "Jeg må ha noe spesielt til mamma," sa hun med et alvorlig uttrykk, mens hun studerte vinduet i en artisantbutikk som var fylt med håndlaget keramikk.En: "I need something special for mom," she said with a serious expression, while studying the window in a craft shop filled with handmade ceramics.No: Arvid, derimot, virket mer opptatt av byens skjønnhet enn kjøpingen.En: Arvid, on the other hand, seemed more occupied with the beauty of the town than shopping.No: "Se på utsikten, Sigrid!En: "Look at the view, Sigrid!No: Kysten er utrolig vakker," ropte han, med armene utstrakte i beundring for de blå bølgene som slo mot klippene.En: The coast is incredibly beautiful," he exclaimed, his arms outstretched in admiration of the blue waves crashing against the cliffs.No: Sigrid sukket.En: Sigrid sighed.No: "Fokus, Arvid.En: "Focus, Arvid.No: Vi har ikke mye tid," sa hun, bekymret for hver sveipende visitt i butikkene.En: We don't have much time," she said, worried about each fleeting visit to the shops.No: Valget var overveldende, og hun følte presset av å finne noe som ville glede alle.En: The choice was overwhelming, and she felt the pressure to find something that would please everyone.No: Men så stoppet Arvid.En: But then Arvid stopped.No: Han holdt opp en liten, fin vevd veske fra en bod.En: He held up a small, finely woven bag from a stall.No: "Hva synes du om denne?En: "What do you think of this?No: Det er høytid og hyggelig," sa han med et smil.En: It's festive and nice," he said with a smile.No: Sigrid nølte, men hun kunne ikke unngå å merke Arvids enkle glede.En: Sigrid hesitated, but she couldn't help but notice Arvid's simple joy.No: Da øyeblikkene fløt forbi, begynte Sigrid å ta til seg Arvids tankegang.En: As the moments passed, Sigrid began to adopt Arvid's mindset.No: Hun innså at det var viktigere å finne noe som ga henne en god følelse, snarere enn å streve etter det perfekte.En: She realized that it was more important to find something that gave her a good feeling, rather than striving for perfection.No: På ettermiddagen, følte Sigrid at tiden løp fra henne.En: In the afternoon, Sigrid felt that time was slipping away from her.No: Hun snudde seg mot Arvid, som så på en gatekunstner male et vakkert vinterlandskap.En: She turned to Arvid, who was watching a street artist paint a beautiful winter landscape.No: Panikken begynte å stige, men hun tok et dypt pust.En: Panic began to rise, but she took a deep breath.No: "Kanskje jeg bare skal velge med hjertet," tenkte hun.En: "Maybe I should just choose with my heart," she thought.No: Sigrid fant en nydelig, håndlaget glassengel til moren sin.En: Sigrid found a beautiful, handmade glass angel for her mother.No: Det føltes riktig.En: It felt right.No: Gradvis plukket hun ut små skatter som ga henne en god følelse: en sjokoladeeske til vennen som elsket søtsaker, og et varmt ullskjerf til søsteren.En: Gradually, she picked out small treasures that gave her a good feeling: a box of chocolates for a friend who loved sweets, and a warm wool scarf for her sister.No: Da solen begynte å synke over horisonten, sto Sigrid og Arvid ved kanten av klippen.En: As the sun began to set over the horizon, Sigrid and Arvid stood at the edge of the cliff.No: Lyset fra solnedgangen farget himmelen rosa og gull.En: The light from the sunset painted the sky pink and gold.No: Sigrid klemte posene tett og så på Arvid, som strålte over deres dag.En: Sigrid clutched the bags tightly and looked at Arvid, who beamed over their day.No: "Du hadde rett," sa Sigrid.En: "You were right," Sigrid said.No: "Noen ganger må man være litt spontan.En: "Sometimes you have to be a little spontaneous."No: " Arvid lo, og de delte et lettet smil.En: Arvid laughed, and they shared a relieved smile.No: De vendte blikket mot havet, tilfredse og glade med gavene, og enda mer med minnene de hadde skapt.En: They turned their gaze to the sea, content and happy with the gifts, and even more with the memories they had created. Vocabulary Words:chilly: kjøligsharp: skarpescent: luktenstrolled: spasertecobblestone: brosteinsbelagtealleys: smugvineyard: vingårdstrærunforgettable: uforglemmeligcraft: artisantceramics: keramikkexclaimed: ropteadmiration: beundringsigh: sukketoverwhelming: overveldendepleasure: gledefinely woven: fin vevdstall: bodhesitated: nølteadopt: ta til segmindset: tankegangstriving: streveslipping away: løp fra hennepanic: panikkendeep breath: dypt pustheart: hjertetreasures: skattercontent: tilfredseclutched: klemtespontaneous: spontanmemories: minnene

I det tvåhundrasjuttioandra avsnittet av podden följer vi upp dokumentären om Arvid Carlsson. Gäst är psykiatrikern och överläkaren Markus Takanen. I den andra och sista delen av uppföljningen pratar vi om den inblick i Arvids familjeliv som Karin Bojs gav i dokumentären. Hustrun Ulla-Lisa och barnen var navet i hans liv, där promenaderna i Änggårdsbergen, söndagsmiddagarna och landstället i Onsala gav Arvid den återhämtning han behövde.Vi diskuterar också Arvids lojalitet och vänfasthet, hans skoningslösa inställning till meningsmotståndare och konflikten med Oleh Hornykiewicz. Dessutom pratar vi om hur man kan inspireras av Arvids spartanska livsstil och omfamnade av omvärldens tvivel.Hjälp till att hålla merparten av avsnitten gratis och få tillgång till exklusiva avsnitt på: http://patreon.com/sinnessjuktSynka Patreon med Spotify: https://www.patreon.com/posts/sa-lyssnar-du-pa-34442592Köp signerade böcker och Beckomberga-printar här: https://vadardepression.seKöp Sinnessjukt-tishan här: http://sinnessjukt.se/butik Boka föreläsning här: http://vadardepression.se/forelasning-psykisk-ohalsa/ Hosted on Acast. See acast.com/privacy for more information.

Osterhaus, Stefan www.deutschlandfunkkultur.de, Nachspiel

Kjell Arvid Svendsen er denne uken gjest i Engasjert med Alf Henden

Kjell Arvid Svendsen er denne uken gjest i Engasjert med Alf Henden

Kjell Arvid Svendsen er denne uken gjest i Engasjert med Alf Henden

Kjell Arvid Svendsen er denne uken gjest i Engasjert med Alf Henden

Kjell Arvid Svendsen er denne uken gjest i Engasjert med Alf Henden

The joyous Judi Love shares the news of her stand up show, All About the Love, which continues in January.Fabulous F1 newcomer Arvid Lindblad tells us about what it's like to be picked by Racing Bulls for next season.Join Chris and the Class Behind The Glass every morning from 6.30am for laughs with the listeners and the greatest guests. Listen on your smart speaker, just say: "Play Virgin Radio." Hosted on Acast. See acast.com/privacy for more information.

I det tvåhundrasjuttioförsta avsnittet av podden följer vi upp dokumentären om Arvid Carlsson. Det här är del ett av två av uppföljningen och gäst är psykiatrikern och överläkaren Markus Takanen. I denna den första delen berättar Markus vad han tyckte var bra respektive dåligt med dokumentären.Vi pratar om Kjell Fuxes känslofulla skildringar av sin vänskap med Arvid, Nils-Åke Hillarp och Hans Corrodi, samt hans berättelse om den magiska resan till New York. Vi diskuterar också Arvid Carlssons karaktärsdrag och vilken betydelse dessa hade för hans forskarkarriär. Uthålligheten och kompromisslösheten kom visserligen med ett pris, men hade han nått sina största upptäckter utan dem?Ge bort Sinnessjukt-presentkort i julklapp: https://www.patreon.com/sinnessjukt/giftSvD-artikeln ”Kritiken: PTSD-inflation urvattnar ordet trauma”: https://www.svd.se/a/5EAo4m/bianca-ingrossos-psykologgast-nicole-lepera-avfardas-som-charlatanKvartal-essän ”Jag undrar hur lyckad Schulmans terapi varit”: https://kvartal.se/jennystrindlov/artiklar/jag-undrar-hur-lyckad-schulmans-terapi-varit/cG9zdDoyNzA0OQHjälp till att hålla merparten av avsnitten gratis och få tillgång till exklusiva avsnitt på: http://patreon.com/sinnessjuktSynka Patreon med Spotify: https://www.patreon.com/posts/sa-lyssnar-du-pa-34442592Köp signerade böcker och Beckomberga-printar här: https://vadardepression.seKöp Sinnessjukt-tishan här: http://sinnessjukt.se/butik Boka föreläsning här: http://vadardepression.se/forelasning-psykisk-ohalsa/ Hosted on Acast. See acast.com/privacy for more information.

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Host Maria Richter hat rund drei Monate nach der Therapie fünf der sechs Paare aus Staffel 5 zuhause besucht. Und sie bringt nicht nur gute Nachrichten mit: Ein Paar musste trotz Intensivsitzung mit Eric Hegmann zumindest räumlich weiter auseinanderrücken. Heike ist nach einer Traumatherapie im wörtlichen Sinn weggelaufen und lebt seitdem 600 Kilometer entfernt von ihrem Mann Uli. Was haben die beiden aus der Sitzung mit Eric für ihre Fernbeziehung mitnehmen können? Arvid und Christina haben noch viele Baustellen bei der Umsetzung ihres polyamoren Beziehungsmodells und Christina hat aufgrund eines unvorhersehbaren Ereignisses fast alles über einen Haufen werfen müssen. Wie geht es ihnen heute? Julia hatte eine emotionale Affaire – Sven hat auch nach der Therapiesitzung noch sehr daran zu knapsen und übt im Treffen mit Maria große Kritik am Verlauf der Sitzung mit Eric. Unabhängig davon: Konnten Julia und Sven als Paar wieder näher zusammenrücken? Bei Anna und Christian ist vor allem Annas ADHS eine große Herausforderung für die Paarbeziehung. Hat die Therapiesitzung mit Eric den beiden geholfen, um auf Beziehungsebene besser mit Annas ADHS-Eigenschaften umzugehen? Und hat sich die Konfliktdynamik der beiden dadurch verbessern können? Alina und Svenja sind noch zusammen – obwohl Alina eine Zweitbeziehung eingegangen war. Was ist in der Zwischenzeit bei den beiden jungen Frauen passiert? Dokuserie “Die Paartherapie” in der Mediathek: http://1.ard.de/Die_Paartherapie_Staffel_3?pd=paartherapie Bewerbt euch bei uns als Paar: paartherapie@ndr.de Alle Folgen und Infos: https://www.ndr.de/paartherapie ©NDR 2 Host und Autorin: Maria Richter Formatidee: Kathrin Lindemann, Nele Pasch Formatentwicklung: Kira Drössler, Laura Leick Distribution: Nina Wietholz, Julia Hercka Sound-Design: Isola Music & Warner Chappell Production Music Produktion: Oliver Kleist Redaktion: Sascha Sommer Podcast-Tipp: 11KM: der tagesschau-Podcast https://1.ard.de/11KM_Podcast

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*** Det här är ett smakprov ur ett Patreon-exklusivt avsnitt, för att lyssna på hela avsnittet gå in på http://patreon.com/sinnessjukt ***I det tvåhundrasjuttionde avsnittet av podden är det dags för den tredje och sista delen av dokumentären om Arvid Carlsson. Efter upptäckten av dopamin som signalsubstans och hans avgörande insatser för utvecklingen av SSRI, fortsätter Arvid sitt livsverk med nya hypoteser och läkemedel som ska förändra psykiatrin för alltid.Avsnittet skildrar samarbetet med Margit Lindqvist, lanseringen av dopaminhypotesen för schizofreni och hur hans idé om en partiell dopaminagonist banade vägen för Abilify – som blev världens mest sålda läkemedel 2014. Dessutom berättas historien om Arvids egna dopaminstabiliserare, OSU-6162 och ACR16, som han själv såg som framtidens stora genombrott. Vi hör också om Nobelpriset år 2000 och varför somliga anser att juryns motivering inte speglade vidden av Arvids betydelse.I serien medverkar professor Elias Eriksson, vetenskapsjournalisten och författaren Karin Bojs, professor emeritus Kjell Fuxe och professor Göran Engberg.Extramaterial och alla källor finns på: http://patreon.com/sinnessjukt Hosted on Acast. See acast.com/privacy for more information.

Låtskrivaren och författaren Annika Norlin svarar på lyssnarnas frågor. Lyssna på alla avsnitt i Sveriges Radio Play. Varför har vissa så instinktivt dålig smak, frågar Matilda, som själv tillhör kategorin. Allt hon köper blir fult: kläder, inredning, ja allt! Andra verkar vara födda med god smak. Hur kommer det sig?Agneta i Piteå ser hur mycket elände som alkoholen skapar, till exempel alkoholrelaterade sjukdomar och barn som drabbas av misär på grund av en förälder som missbrukar. Hon undrar: Hur kommer det sig att så många i övrigt kloka människor hyllar alkoholen trots att den orsakar så mycket elände?Arvid i Enköping har under de senast tio åren latat sig på jobbet. Han bemästrar konsten att få folk att tror att han jobbar jättehårt, trots att han knappt gör någonting. Det har varit positivt för både löneutveckling och fritidskonto. Men han undrar: Är jag bara lat, eller street smart?Hör Annika Norlin svara på lyssnarnas frågor. Nästa gång är det författaren Andrev Walden som svarar. Har du själv en fråga som du vill rikta till författarna så mejla till: allvarligttalat@sverigesradio.seProducent: Karin Arbsjö karin.arbsjo@sr.se

WGN Radio’s Charlie Roumeliotis breaks down the Blackhawks’ 5-1 win over the Detroit Red Wings. Steve Konroyd joins the discussion from Little Caesars Arena to talk about Connor Bedard’s three-point game, a perfect special teams outing, Arvid Söderblom’s 45-save performance, and more. Later, we hear from Oliver Moore, Söderblom, and head coach Jeff Blashill. Charlie also explains […]

In this episode of the Business of Laravel podcast, host Matt Stauffer sits down with Arvid Kahl, founder of Podscan, a platform that transcribes and analyzes podcasts. Arvid shares his journey from developer to entrepreneur, the challenges of marketing as a builder, and how deeply understanding your customers shapes great products. They also dive into the role of AI in development and marketing, and how Arvid began using Laravel. Matt Stauffer TwitterTighten WebsiteArvid on TwitterPodscanThe Boot Strapped FounderThe Boot Strapped Founder PodcastThe Startups for the Rest of Us Podcast The SaaS PlaybookStart Small, Stay SmallHooked: How to Build Habit-Forming ProductsIndistractable: How to Control Your Attention and Choose Your Life-----Editing and transcription sponsored by Tighten.

*** Det här är ett smakprov ur ett Patreon-exklusivt avsnitt, för att lyssna på hela avsnittet gå in på http://patreon.com/sinnessjukt ***I det tvåhundrasextionionde avsnittet av podden är det dags för den andra delen av tre av dokumentären om Arvid Carlsson. Efter att ha gjort en av de största upptäckterna i modern medicinhistoria – att dopamin är en signalsubstans i hjärnan – fortsätter Arvid sin bana med en rad banbrytande insatser.Avsnittet skildrar hans komplicerade relation till läkemedelsindustrin, samarbetet med farmaceuten Ivan Östholm och den briljante kemisten Hans Corrodi, samt hur dessa möten lade grunden för storsäljare som Losec och det första SSRI-läkemedlet. Samtidigt får vi en bild av Arvids personlighet: prestigelös, ödmjuk och nyfiken – men också kompromisslös och ibland skoningslös mot forskarkollegor.Vi följer även konflikten med den österrikiske forskaren Oleh Hornykiewicz, Arvids avgörande roll i att bygga upp Astra till en global läkemedelsjätte, och den dramatiska historien bakom Zelmid – världens första selektiva serotoninåterupptagshämmare, som drogs in men banade väg för Prozac.I serien medverkar professor Elias Eriksson, vetenskapsjournalisten och författaren Karin Bojs, professor emeritus Kjell Fuxe och professor Göran Engberg.Extramaterial och alla källor finns på: http://patreon.com/sinnessjuktNight Vigil by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By attribution 4.0 License. Edits were made.Bleeping Demo by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By attribution 4.0 License. Edits were made.Canon in D for Two Renaissance Harps by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By attribution 4.0 License. Edits were made. Hosted on Acast. See acast.com/privacy for more information.

Support this show http://supporter.acast.com/vigartillhistorien. Hosted on Acast. See acast.com/privacy for more information.

Vi är nu över 25 000 prenumeranter och poddarna Rak höger med Ivar Arpi och Under all kritik ligger båda konsekvent i topp-20 bland nyhetspoddar i Sverige. Men medan andra på listan har public service-miljarder, annonsmiljoner och presstöd i ryggen, så har vi bara er. För att det ska fungera behöver några fler av er som i dag är gratisprenumeranter bli betalande. Just nu får du 30 procents rabatt på prenumerationen!Mina gäster i dag är Adam Danieli från Timbro och Arvid Hallén från Oikos. De är författarna bakom rapporten Tidö 2.0 – Nystart för Sverige. På DN Debatt skrev de en artikel som fick rubriken ”Resonemangsäktenskapet Tidö måste bli äkta kärlek”. Enligt Adam och Arvid var det redaktören som satte rubriken – men det hindrar ju inte oss andra från att spinna vidare på kärleksmetaforen.Rapporten innehåller 132 förslag: att avveckla moralministerier som Jämställdhetsmyndigheten och MR-institutet, till att halvera public service, ersätta flerbarnstillägg med barnavdrag, lämna kvotflyktingsystemet, utvisning av grovt kriminella som misstänks för allvarlig brottslighet, införandet av en opinionsbildningslag för myndigheter, med mera. Detta hyllas av vissa – kritikerna kallar det för studentikost och ”kulturkrig”.Vi diskuterar varför de tycker att staten ska sluta uppfostra medborgarna, varför arbetsmarknad och bostadsmarknad behöver liberaliseras, och varför de menar att borgerligheten måste våga mer än att förvalta Socialdemokraternas gamla ordningar.Så dagens avsnitt handlar om det: finns det äkta kärlek i Tidö – eller är det fortfarande bara resonemang? Börjar det verka kärlek, banne mej? Är Tidö 2.0 rapporten som förvandlar samarbetet till något på riktigt, en slags fullbordan? Eller är politik i slutändan något helt annat – what's love got to do with it?Oberoende endast tack vare erVi är nu över 25 000 prenumeranter här – och antalet växer stadigt. Rak höger med Ivar Arpi och Under all kritik ligger båda konsekvent på topp-20 bland nyhetspoddar i Sverige. Det är helt och hållet er förtjänst – tack för det!Skillnaden mot de flesta andra på topplistan är tydlig: medan de har public service-miljarder eller stora tidningshus med presstöd och annonsintäkter i ryggen, så har vi bara er. Konkurrensen är snedvriden, men ni har visat att det går att bygga något nytt. Vi är helt självständiga – tack vare er.Som ni märkt har vi nu tagit nästa steg med en videosatsning, som kommer ge ännu mer innehåll för betalande prenumeranter framöver. Redan i dag får du flera poddavsnitt i veckan – ofta med video – och minst en text, ibland fler.Vill du vara med och bygga vidare? Bli betalande prenumerant redan i dag och få 30 procents rabatt!Den som vill stötta oss på andra sätt än genom en prenumeration får gärna göra det med Swish, Plusgiro, Bankgiro, Paypal eller Donorbox.Swishnummer: 123-027 60 89Plusgiro: 198 08 62-5Bankgiro: 5808-1837Utgivaren ansvarar inte för kommentarsfältet. (Myndigheten för press, radio och tv (MPRT) vill att jag skriver ovanstående för att visa att det inte är jag, utan den som kommenterar, som ansvarar för innehållet i det som skrivs i kommentarsfältet.) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.enrakhoger.se/subscribe

I veckans avsnitt av Rak höger träffar jag Arvid Hallén, programansvarig på tankesmedjan Oikos, och Johannes Allstrin, talesman för Konservativa sällskapet. Vi sågs i Uppsala, direkt efter att sällskapet avslutat en tre dagar lång konferens fylld av tal, diskussioner och idéutbyte, där jag bjöds in som en av talarna. Men vad är egentligen Konservativa sällskapet? Varför behövs det, och vilken roll spelar det i dagens Sverige? Vi pratar om konservatismens comeback i det offentliga samtalet, om hur begreppet länge varit otydligt i svensk kontext och varför vissa institutioner – från familjen till nationen – är värda att försvara. Vi diskuterar också klassklyftor i åsiktsklimatet, hur Oikos försöker återdefiniera konservatismen för 2020-talet, och varför Arvid och Johannes menar att det behövs fler mötesplatser där konservativt sinnade kan tala fritt.Prenumerera på eller stötta Rak högerI takt med att fler blir betalande prenumeranter har Rak höger kunnat expandera med fler skribenter och mer innehåll. Vi får inget presstöd, vi tar inte emot pengar från någon intresseorganisation eller lobbygrupp. Det är endast tack vare er prenumeranter vi kan fortsätta vara självständiga röster i en konform samtid. Så stort tack för att ni är med, utan er hade det inget av detta varit möjligt.Den som vill stötta oss på andra sätt än genom en prenumeration får gärna göra det med Swish, Plusgiro, Bankgiro, Paypal eller Donorbox.Swishnummer: 123-027 60 89Plusgiro: 198 08 62-5Bankgiro: 5808-1837Utgivaren ansvarar inte för kommentarsfältet. (Myndigheten för press, radio och tv (MPRT) vill att jag skriver ovanstående för att visa att det inte är jag, utan den som kommenterar, som ansvarar för innehållet i det som skrivs i kommentarsfältet.) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.enrakhoger.se/subscribe

Vi möter löparen Arvid Öhrn och har ett fint snack om hur han tränar, vad han har på fötterna och vikten av att bevara våra elljusspår.Han ger oss även ett löfte angående sin frisyr… Löplabbet och Anton Lundin förklarar vad en skorotation är och hur man gör!

Today's authors (and two of Time's 100 Most Influential People in AI) promise to help us navigate the often misleading claims about the real capabilities of Artificial Intelligence. Join Mike & Cory as they consider what AI can do, what it can't, and how to tell the difference. Support the Show Recommend a Book The […]

Big time guest today as Arvid Kahl joins us. Arvid is my favorite type of guest -- a deeply technical founder that can talk about both the technical and business challenges of a startup. Lots to enjoy from this episode. Arvid is known as the Bootstrapped Founder and has documented his path to selling Feedback Panda back in 2019. He's now building Podscan and sharing his journey as he goes. Podscan is a fascinating project. It's making the content of *every* podcast episode around the world fully searchable. He currently has 3.5 million episodes transcribed and adds another 30,000 - 50,000 episodes every day. This involves a ton of technical challenges, including how to get the best transcription results from the latest LLMs, whether you should use APIs from public providers or run your own LLMs, and how to efficiently provide full-text search across terabytes of transcription data. Arvid shares the lessons he's learned and the various strategies he's tried over the years. But there are also unique business challenges. For most technical businesses, your infrastructure costs grow in line with your customers. More customers == more data == more servers. With Podscan, Arvid has to index the entire podcast ecosystem regardless of his customers. This means a lot of upfront investment as he looks to grow his customer base. Arvid tells us how he's optimized his infrastructure to account for this unique challenge.

Smått, stort, smart och galet i ett enda svep – på bästa sätt. Sheila minns sin första kärlek (hej Arvid), Bella försöker förstå om Jesus faktiskt gick på vatten (eller bara på en sandbank?), och vi pratar om det livsviktiga tipset om hur man kissar i en body utan att behöva klä av sig naken. Det blir snack om ultraprocessad mat, bilköp, surdeg och varför vissa livstips borde läras ut redan i skolan.Produceras av More Than Words Hosted on Acast. See acast.com/privacy for more information.

WGN Radio's Jack Heinrich breaks down the Blackhawks' 5-2 win over the Boston Bruins. Jack and Charlie Roumeliotis discuss Arvid Söderblom’s strong performance and Ryan Donato reaching the 30-goal mark. Later on, hear postgame comments from Nick Foligno,  Arvid Söderblom, and Blackhawks Interim Head Coach Anders Sorensen. The Blackhawks return home on Saturday, April 12th, to host the […]

Patrick and Benji recap the past week of the world of cycling and preview the full upcoming week of racingExclusive deals from our trusted partners

The Blackhawks started their three-game road trip in style with a 4-1 win over the Tampa Bay Lighting. Chicago got goals from Connor Bedard, Landon Slaggert, Ryan Donato and Teuvo Teräväinen in the win, while Arvid Söderblom stopped 34 of 35 Tampa shots. Join Mario Tirabassi and Jay Zawaski for the CHGO Blackhawks Postgame Show.

Aman Sanger, Arvid Lunnemark, Michael Truell, and Sualeh Asif are creators of Cursor, a popular code editor that specializes in AI-assisted programming. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep447-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/cursor-team-transcript CONTACT LEX: Feedback - give feedback to Lex: https://lexfridman.com/survey AMA - submit questions, videos or call-in: https://lexfridman.com/ama Hiring - join our team: https://lexfridman.com/hiring Other - other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Cursor Website: https://cursor.com Cursor on X: https://x.com/cursor_ai Anysphere Website: https://anysphere.inc/ Aman's X: https://x.com/amanrsanger Aman's Website: https://amansanger.com/ Arvid's X: https://x.com/ArVID220u Arvid's Website: https://arvid.xyz/ Michael's Website: https://mntruell.com/ Michael's LinkedIn: https://bit.ly/3zIDkPN Sualeh's X: https://x.com/sualehasif996 Sualeh's Website: https://sualehasif.me/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Encord: AI tooling for annotation & data management. Go to https://encord.com/lex MasterClass: Online classes from world-class experts. Go to https://masterclass.com/lexpod Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to http://netsuite.com/lex AG1: All-in-one daily nutrition drinks. Go to https://drinkag1.com/lex OUTLINE: (00:00) - Introduction (09:25) - Code editor basics (11:35) - GitHub Copilot (18:53) - Cursor (25:20) - Cursor Tab (31:35) - Code diff (39:46) - ML details (45:20) - GPT vs Claude (51:54) - Prompt engineering (59:20) - AI agents (1:13:18) - Running code in background (1:17:57) - Debugging (1:23:25) - Dangerous code (1:34:35) - Branching file systems (1:37:47) - Scaling challenges (1:51:58) - Context (1:57:05) - OpenAI o1 (2:08:27) - Synthetic data (2:12:14) - RLHF vs RLAIF (2:14:01) - Fields Medal for AI (2:16:43) - Scaling laws (2:25:32) - The future of programming PODCAST LINKS: - Podcast Website: https://lexfridman.com/podcast - Apple Podcasts: https://apple.co/2lwqZIr - Spotify: https://spoti.fi/2nEwCF8 - RSS: https://lexfridman.com/feed/podcast/ - Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 - Clips Channel: https://www.youtube.com/lexclips