Podcasts about byoc

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

In our latest episode, our co-hosts Robby and Tim talk with Jon Morehouse, founder and CEO of infrastructure company Nuon which enables Bring Your Own Cloud (BYOC) for everyone. This is an exclusive podcast episode with Jon digging into their decision to open source Nuon! The episode discusses the industry's growing shift toward Bring Your Own Cloud (BYOC), where SaaS products run directly inside a customer's cloud account rather than the vendor's. This model is especially attractive to enterprises because it improves security, data sovereignty, and trust, while enabling earlier pilots and shorter sales cycles. Infrastructure products like Nuon focus on making this practical by packaging applications so they work in customer environments without requiring vendor access, positioning BYOC as an enterprise-first approach that is likely to become the default way software is delivered.A key theme is open source as a trust and distribution strategy. In the infrastructure space, open sourcing lowers perceived risk, deepens customer collaboration, and builds community, which in turn acts as sales enablement for large enterprise deals. The conversation also connects BYOC to AI, highlighting patterns like bring-your-own-model, keys, and GPUs, and frames BYOC as a spectrum rather than a binary choice. The broader vision is to define and lead a BYOC movement by uniting vendors around shared standards, trust, and community-driven adoption.

How do you establish trust in an AI SOC, especially in a regulated environment? Grant Oviatt, Head of SOC at Prophet Security and a former SOC leader at Mandiant and Red Canary, tackles this head-on as a self-proclaimed "AI skeptic". Grant shared that after 15 years of being "scared to death" by high-false-positive AI, modern LLMs have changed the game .The key to trust lies in two pillars: explainability (is the decision reasonable?) and traceability (can you audit the entire data trail, including all 40-50 queries?) . Grant talks about yje critical architectural components for regulated industries, including single-tenancy , bring-your-own-cloud (BYOC) for data sovereignty , and model portability.In this episode we will be comparing AI SOC to traditional MDRs and talking about real-world "bake-off" results where an AI SOC had 99.3% agreement with a human team on 12,000 alerts but was 11x faster, with an average investigation time of just four minutes .Guest Socials -⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Grant's Linkedin Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠(00:00) Introduction(02:00) Who is Grant Oviatt?(02:30) How to Establish Trust in an AI SOC for Regulated Environments(03:45) Explainability vs. Traceability: The Two Pillars of Trust(06:00) The "Hard SOC Life": Pre-AI vs. AI SOC(09:00) From AI Skeptic to AI SOC Founder: What Changed? (10:50) The "Aha!" Moment: Breaking Problems into Bite-Sized Pieces(12:30) What Regulated Bodies Expect from an AI SOC(13:30) Data Management: The Key for Regulated Industries (PII/PHI) (14:40) Why Point-in-Time Queries are Safer than a SIEM (15:10) Bring-Your-Own-Cloud (BYOC) for Financial Services (16:20) Single-Tenant Architecture & No Training on Customer Data (17:40) Bring-Your-Own-Model: The Rise of Model Portability (19:20) AI SOC vs. MDR: Can it Replace Your Provider? (19:50) The 4-Minute Investigation: Speed & Custom Detections (21:20) The Reality of Building Your Own AI SOC (Build vs. Buy)(23:10) Managing Model Drift & Updates(24:30) Why Prophet Avoids MCPs: The Lack of Auditability (26:10) How Far Can AI SOC Go? (Analysis vs. Threat Hunting)(27:40) The Future: From "Human in the Loop" to "Manager in the Loop" (28:20) Do We Still Need a Human in the Loop? (95% Auto-Closed) (29:20) The Red Lines: What AI Shouldn't Automate (Yet) (30:20) The Problem with "Creative" AI Remediation(33:10) What AI SOC is Not Ready For (Risk Appetite)(35:00) Gaining Confidence: The 12,000 Alert Bake-Off (99.3% Agreement) (37:40) Fun Questions: Iron Mans, Texas BBQ & SeafoodThank you to Prophet Security for sponsoring this episode.

We dive into the wild world of online scams! We're talking about everything from ridiculously professional-looking emails from "Sony" that want you to download files on a Windows PC (yep, a very specific scam that almost got us!) to companies that stiff YouTubers on payments after their ad reads go live. We'll also tell you about our own run-ins with scams and discuss why we're so paranoid about our digital security these days.This week we're ditching the aftershow to chat live with our top-tier patrons over on the BYOC! This episode is a must-listen for anyone who uses the internet—so, basically everyone! But seriously, stay safe out there.Got a question that you want us to answer? Send us an email at ⁠⁠offthecutpodcast@gmail.com⁠Be sure to hit up the links below to get even more content from us!Interested in starting your own podcast? Check out Streamyard: ⁠⁠⁠⁠⁠https://streamyard.com/pal/c/5926541443858432⁠  ⁠⁠ ⁠-------------------------AftershowConsider supporting the show on Patreon to get access to the aftershow and unlock tons of cool perks!⁠⁠⁠⁠⁠https://www.patreon.com/offthecutpodcast⁠  ⁠⁠⁠-------------------------Hang Out with UsWatch the live stream of the podcast on YouTube!⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCcRJPIp6OaffQtvCZ2AtWWQ⁠⁠⁠⁠⁠-------------------------Pick Up Some Merch!Windbreaker - ⁠⁠⁠⁠⁠https://www.spencleydesignco.com⁠⁠⁠⁠⁠   -------------------------Follow ZacInstagram - ⁠⁠⁠⁠⁠https://www.instagram.com/zacbuilds⁠ YouTube - ⁠⁠⁠⁠⁠https://www.youtube.com/c/@ZacBuilds⁠⁠⁠⁠⁠ TikTok - ⁠⁠⁠⁠⁠https://www.tiktok.com/@zacbuilds⁠⁠⁠⁠  -------------------------Follow EricInstagram - ⁠⁠⁠⁠⁠https://www.instagram.com/spencleydesignco⁠⁠⁠⁠⁠ YouTube - ⁠⁠⁠⁠⁠https://youtube.com/@spencleydesignco⁠⁠⁠⁠ TikTok - ⁠⁠⁠⁠⁠https://www.tiktok.com/@spencleydesignco⁠⁠  ⁠-------------------------Follow Deric@PecanTreeDesign everywhere⁠⁠⁠⁠⁠https://linktr.ee/pecantreedesign⁠⁠⁠⁠⁠ ---------------------------Shoutout to:KM Tools for sponsoring the show! Check out everything they have to offer at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠KMTools.com ⁠⁠⁠kmtools.com/SPENCLEYDESIGNCO⁠ And ⁠WTB Woodworking⁠, our newest sponsor! Check out the giveaway over here:⁠https://www.wtbwoodworking.com/giveaway⁠ #Woodworking #DIY #3DPrinting #Maker #ContentCreation #YouTuber #OffTheCutPodcast

Send us a textAre We Drowning in Plastic Without Realizing It?In this eye-opening episode of Girls Gone Gritty, the 3Gs take us on a no-BS journey through paradise and pollution, from jet lag and Bali beach days to the plastics problem plaguing our planet. What starts as travel stories quickly turns into a call for action as the girls dig into the hidden costs of our convenience culture: microplastics in our bodies, toxic dyes in ice cream, and the illusion of effective recycling.They break down how single-use plastics silently infiltrate every part of our daily lives, from ketchup bottles to your water cooler, and why "refuse" should be added to the classic “reduce, reuse, recycle” mantra. You'll learn how to clean your reusable bottles properly, which brands are creating sustainable fabrics from recycled plastic, and what simple swaps you can make today to lessen your footprint.This isn't about perfection. It's about awareness, small changes, and taking gritty ownership of what we consume.Episode Highlights:(0:00) Intro(1:02) Jet lag, travel stories, and Bali's beauty(2:22) Overtourism, mopeds, and the impact on local life(4:01) Trash problems in third-world countries(7:01) Toxic dyes in U.S. ice cream vs. cleaner ingredients abroad(9:06) Plastic pollution and the myth of recycling(10:16) Nanoplastics in bottled water and health risks(12:04) Tips to reduce plastic use at home(14:23) Refusing plastics: BYOC parties and small changes(17:59) Innovative brands turning plastic into fabric(24:03) Bacteria that eat plastic, hope or hype?(25:11) Nanoplastics disrupting hormones(28:52) Your daily actions affect the whole planet(30:05) Got Grit Winner: Teen counselor saves 16 campers from flood(33:50) Outro + Song of the Week: “Keep on Smiling” by Wet Willie(34:53) OutroFollow us: Web: https://girlsgonegritty.com/ Instagram: https://www.instagram.com/girlsgonegritty/ More ways to find us: https://linktr.ee/girlsgonegritty

1 - Dr. EJ Antoni, Chief Economist, and Richard Aster Fellow, in The Heritage Foundation's Grover M. Hermann Center for the Federal Budget, joins us as the Big Beautiful Bill passes the Senate. What does EJ think of the bill? Why is Medicaid such an expensive program to maintain? Why are Republicans continuing to hold out on Medicaid? How are interest rates coming along? How much hold up on the Bill is regarding AI and the Chinese? What are investors realizing about the slashing of interest rates? 110 - Your calls. 120 - Why is pride in being an American at an all-time low? What does Dom take from this news? 140 - Bring Your Own Chains type of protest over trash collecting? Why Caitlin Clark ranked as a middle of the pack starting guard in the WNBA? 150 - Your calls.

The Break Room (THURSDAY 6/26/25) 6am Hour 1) What do you do when you find a small, unfamiliar child in your backyard? 2) Did Nashville kill Vegas? 3) The biggest BYOC event in Rochester

What fuels our creative fire? This week, Zac and Eric explore motivation and the creator mindset, sharing what drives them to take on new projects and document the journey. You may even get an early look (or listen) at their upcoming work! No aftershow this week, we held our monthly BYOC. Join the top tier over on Patreon and get in on next month's live BYOC hangout with us!Join us for conversations about woodworking, 3D printing, DIY and cross country travel. Got a question that you want us to answer? Send us an email at ⁠offthecutpodcast@gmail.com⁠ Be sure to hit up the links below to get even more content from us!Interested in starting your own podcast? Check out Streamyard: ⁠⁠https://streamyard.com/pal/c/5926541443858432⁠⁠ -------------------------AftershowConsider supporting the show on Patreon to get access to the aftershow and unlock tons of cool perks!⁠⁠https://www.patreon.com/offthecutpodcast⁠ ⁠ -------------------------Hang Out with UsWatch the live stream of the podcast on YouTube!⁠⁠https://www.youtube.com/channel/UCcRJPIp6OaffQtvCZ2AtWWQ⁠⁠ -------------------------Pick Up Some Merch!Windbreaker - ⁠⁠https://www.spencleydesignco.com ⁠⁠ -------------------------Follow ZacInstagram - ⁠⁠https://www.instagram.com/zacbuilds⁠⁠ YouTube - ⁠⁠https://www.youtube.com/c/@ZacBuilds⁠⁠ TikTok - ⁠⁠https://www.tiktok.com/@zacbuilds⁠ ⁠ -------------------------Follow EricInstagram - ⁠⁠https://www.instagram.com/spencleydesignco⁠⁠ YouTube - ⁠⁠https://youtube.com/@spencleydesignco⁠ ⁠ TikTok - ⁠⁠https://www.tiktok.com/@spencleydesignco⁠ ⁠ -------------------------Follow Deric⁠⁠https://linktr.ee/pecantreedesign⁠⁠ ---------------------------Shoutout to KM Tools for sponsoring the show! Check out everything they have to offer at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠KMTools.com ⁠⁠kmtools.com/SPENCLEYDESIGNCO⁠ #Woodworking #DIY #3DPrinting #Maker #ContentCreation #YouTuber #OffTheCutPodcast

Streaming Ecosystem Complexities and Cost Management // MLOps Podcast #302 with Rohit Agarwal, Director of Engineering at Tecton.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractDemetrios talks with Rohit Agarwal, Director of Engineering at Tecton, about the challenges and future of streaming data in ML. Rohit shares his path at Tecton and insights on managing real-time and batch systems. They cover tool fragmentation (Kafka, Flink, etc.), infrastructure costs, managed services, and trends like using S3 for storage and Iceberg as the GitHub for data. The episode wraps with thoughts on BYOC solutions and evolving data architectures.// BioRohit Agrawal is an Engineering Manager at Tecton, leading the Real-Time Execution team. Before Tecton, Rohit was the a Lead Software Engineer at Salesforce, where he focused on transaction processign and storage in OLTP relational databases. He holds a Master's Degree in Computer Systems from Carnegie Mellon University and a Bachelor's Degree in Electrical Engineering from the Biria Institute of Technology and Science in Pilani, India.// Related Links~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rohit on LinkedIn: /agrawalrohit10

Excited to be at Flink Forward 2024 by Ververica | Original creators of Apache Flink®. I had the pleasure of interviewing Igor Kersic, Head of Product at Ververica, where we discussed their exciting new BYOC (Bring Your Own Cloud) product and how it's shaping modern cloud-native architectures. Igor shared some incredible insights into how BYOC differentiates Ververica in the competitive streaming data market, empowering enterprises with unprecedented scalability and flexibility. We also explored real-world use cases that highlight the strengths of BYOC, and how Ververica's expertise with Apache Flink enhances this offering. Plus, we got a sneak peek into what's next for BYOC at Ververica! Big thanks to Igor for such a fascinating conversation. Stay tuned for more insights from the conference!

Welcome back to Not Fintech Investment Advice, where we spotlight new and exciting fintechs. I'm Alex Johnson, creator of Fintech Takes, joined by Simon Taylor who's gracing us stateside in Washington, DC.  It's been a wild week—imagine the former FDIC chair on stage as news broke that the *current* FDIC chair, Marty Gruenberg, had resigned, all in a room packed with regulators and sponsor banks…and the two of us. Talk about a vibe shift. Big shoutout to the American Fintech Council for putting on a wonderful event. First up, Paydock is flipping the script on merchant acquiring—think "bank direct," but for acquiring, not issuing. They're upgrading bank tech without the messy, painful internal overhaul. This way, banks can woo new customers with modern features they couldn't offer before while staying price-competitive.  Next, Bluespine is automating self-insurance for large employers with an AI-powered platform tailored to each company's plan. Self-insurance works for big companies, but being the insurer is costly. A recent Money 20/20 report highlights a clash: AI companies pushing for productivity gains VS others focus on cutting costs. How these forces play out will be key. Then, Astrada is reimagining embedded finance with “bring your own card” (BYOC) as a service, allowing platforms to offer financial perks without issuing cards. Given that Navan's BYOC pivot unlocked partnerships with Citibank and Brex, and Visa and Mastercard are adapting, too, this trend raises a key question: Will Ramp stick to their proprietary system, or will BYOC become the new norm? And lastly, Rise is using stablecoins to solve the nightmare of paying global contractors. Could this decentralized approach be the future of seamless cross-border payments? Let's dive in and find out. Plus, we dive into the future of fintech innovation, from building regulatory visibility to exploring how a "call report" for fintechs could reshape market transparency and regulatory oversight. 00:03:28 - Paydock  00:14:35 - Bluespine 00:25:18 - Astrada 00:37:59 - Rise 00:50:38 - Manifesting Fintech Ideas Sign up for Alex's Fintech Takes newsletter for the latest insightful analysis on fintech trends, along with a heaping pile of pop culture references and copious footnotes. Every Monday and Thursday: https://workweek.com/brand/fintech-takes/ And for more exclusive insider content, don't forget to check out my YouTube page. Follow Simon: LinkedIn: https://www.linkedin.com/in/sytaylor/ Substack: https://sytaylor.substack.com   Follow Alex:  YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos LinkedIn: https://www.linkedin.com/in/alexhjohnson Twitter: https://www.twitter.com/AlexH_Johnson Companies featured: https://paydock.com/ https://www.bluespine.io/ https://astrada.co/ https://www.riseworks.io/

BYOC and Baked Potatoes… and API Driven “Simwood is a forward-thinking, straight-talking, carrier, with a lot of carrier services to offer,” says David Duffet, Simwood's Corporate Ambassador. “Simwood is built from day one as an IP carrier. We see some carriers sort of shivering in the corner and getting worried about legacy technology getting turned off. We're 100% IP.” Simwood has been serving the UK for 28 years and is a member of the Cloud Communications Alliance. “We're API driven, so everything that we've built natively in our globally distributed core is addressable via an API. We do have a portal as well, so people can come in and turn things on and off and configure things, but they can do it programmatically via an API. And so if you're a forward-thinking service provider, you can use Simwood to connect your services and your customers.” BYOC (and baked potatoes) So, what's a carrier doing talking about BYOC, bring your own carrier? And what does that have to do with baked potatoes? Watch this unique podcast to learn how Simwood is offering and building the service sets that match today's needs. “Dinosaurs, beware. Simwood, have the potato. Because we're IP native. We're API driven. We're open-source friendly. Everything has coalesced and come together to allow us to offer this potato.” Visit www.simwood.com View the Simwood Potato

Today, travel medicine specialists Drs. Paul Pottinger ("Germ") & Chris Sanford ("Worm") answer your travel health questions:Is there a vaccine for hepatitis C?How is Guinea worm transmitted, and how do I avoid it?Should I treat my snakebite by zapping it with a Taser?Is a virus alive, and how does it mutate?Is it legal to take condoms through customs?Can someone pass an earthworm in their poop?What online resources are reliable regarding travel health?Should I get the new RSV vaccine?We hope you enjoy this podcast! If so, please subscribe to our RSS feed and share with your friends! And, please send us your questions and travel health anecdotes: germandworm@gmail.com.Our Disclaimer: The Germ and Worm Podcast is designed to inform, inspire, and entertain. However, this podcast does NOT establish a doctor-patient relationship, and it should NOT replace your conversation with a qualified healthcare professional. Please see one before your next adventure. The opinions in this podcast are Dr. Sanford's & Dr. Pottinger's alone, and do not necessarily represent the opinions of the University of Washington or UW Medicine.

This week on LGRN After Snark, Daney and Snark talk home renos, The Office, recording music, and Pokémon world before discussing Quakecon. Should there be a history of style series? LAN parties and BYOC, mods, BAWLS Chugging, and if course, the dirty keyboard contest. We then check in with part one of our look at D23 2024. Our thoughts on live action reboots and all the Star Wars news about Andor S2, Mando and Grogu, and Skeleton Crew. Join us! YOUR HOSTS FOR THIS EPISODE

This week Jim, Sue, and David unveil the new #KirklandPetTags contest. Plus, upcoming closures: NE 85th St at I405 and Juanita Drive. Houghton Beach closure. A fun video by our Youth Transit Ambassadors. An opportunity to join a Board or Commission. Office of Emergency Management pop-ups. Helpful info for King County election ballots. Tips on wildlife safety and safe traveling. Special guest: Gena Jain, Environmental Education and Outreach Specialist shares an upcoming Recycle Right Event and the BYOC weekly contest!kirklandwa.gov/podcast#20240725

Get tickets to QuakeCon, August 8th to the 10th, 2024: https://quakecon.bethesda.net/en/ This is Kenneth Vigue and I just want to say, I miss you….we all miss you. I wanted to give everyone a positive update on our life situation. As many of you longtime listeners know, our financial situation these past several years has not been great. Like many of you, we have been no strangers to struggle, living paycheck to paycheck and I've been working 7 days a week trying to keep us afloat, crushed by debt that began with long term mental healthcare for my husband Travis for a debilitating condition called C-PTSD and co-occurring conditions. So many of you have reached out, no strangers to either suffering through no fault of your own with mental health or who serve as caregivers for someone does. Everyone's support over the years has meant the world to us and finally we have hope. Next month we finish a cross country move after finally selling our house, eliminating our debt completely and putting us in a much better living situation. We'll be living in Texas, and after just getting back from there after signing on a new house for us I do have to say I have never eaten so well. Once this move is completed by July 16th, I'll be free both mentally and financially to be far more consistent with writing and editing. More of my free time spent in panic mode drumming up work will be mine again, and I can't wait to get back to telling stories in Fallout 76 and beyond. So don't worry…I'm not stopping. I also want to share something exciting: I'll be at QuakeCon in August, from the 8th to the 11th in Grapevine Texas and I would love to see any of you who may be going. It's a truly spectacular event, panels, a truly epic LAN party in the BYOC. Though the convention may have started being all about Quake, today it is the largest yearly convention run by ZeniMax Media, and a celebration of all its studios and games. If you're nearby or are planning to attend, it's well worth a visit, and even if you can't, Bethesda usually has a series of live streams from the event at Twitch.TV/Bethesda. Tickets start at just $16.50 for a day pass or if you want to bring your own computer and grab a spot in the LAN BYOC, you can grab those tickets for $75. Again, I really miss you…I miss this. I'm so excited and frankly relieved for the next chapter in our personal life, but also the brighter horizons of my creative one. Care for yourself, take time to get out and see the world this summer. Unplugging for a while is chicken soup for the soul, it broadens the mind, declutters our thinking and allows less of the shadows to gain purchase. I'll be back in a few months, but I hope to see you in the Wasteland.

In this episode of The 5G Factor, our series that focuses on all things across the 5G ecosystem, we review recent adjustments by key players throughout the 5G ecosystem including Verizon Business' debut in the neutral host network segment, Dell and Ericsson commercially debuting Ericsson Cloud RAN software on Dell PowerEdge servers to spur telco cloud journeys, and how Red Hat's open source approach is making inroads across telco hybrid cloud and Open RAN environments. Our analytical review drilled down on: Verizon's First Neutral Host Deal with Cummins. Verizon created a 5G ecosystem stir in announcing its debut neutral host private 5G deal with Cummins Inc., a manufacturer of heavy-duty truck engines. Cummins is tapping Verizon as the technical lead and anchor tenant for a combo network to be deployed at its Jamestown engine plant in Lakewood, New York. Verizon will collaborate with Ericsson to implement the neutral host model using Verizon's C-band and mmWave spectrum bands, plus support for 3.5GHz CBRS connections. The move follows T-Mobile already tossing its hat into the neutral host arena with suppliers such as Celona certified on its 4G-based neutral host system within T-Mobile's “Bring Your Own Coverage 2.0” (BYOC 2.0) program that has the property owner financing and hosting the neutral site. We delve into how the neutral host model can deliver benefits like ensuring all users, such as employees, get the same level of signal across all carriers, vital to making sure emergency calls inside or outside the facility are received as well as the prospects that other operators will warm to Verizon acting as the “neutral” anchor tenant at such sites. Dell and Ericsson Target Stimulating Telco Cloud Journeys. At Dell Tech World 2024, Dell and Ericsson announced they have bolstered their partnership to push telco cloud transformation journeys forward. To help make this happen, the duo is commercially debuting Ericsson Cloud RAN software on Dell PowerEdge servers underpinned by continuous testing and lifecycle management plus joint services that offer telcos integrated network infrastructure support. They are working together to cultivate customized cloud network transformation journeys and provide guidance on network structures and operational frameworks that minimize the deployment risks across open, heterogeneous vendor environments. We assess the potential impact of the alliance on the 5G market including how Dell's AI Factory solutions can ultimately play a key role in stimulating telco cloud journeys including the acceleration of Cloud RAN implementations.  Red Hat Seeks to Reduce Complexity Through Open Source Principles. Red Hat is focused on using open source principles to help telcos improve their business outcomes by reducing complexity with open source underpinning Red Hat's pre-integrated platform approach that includes orchestrating 5G automation, hybrid cloud, AI, and edge computing capabilities. Specifically, Red Hat offers a unified cloud-native application platform that spans the telco's network from core to edge. To that end, Red Hat has integrated Ericsson Cloud RAN with Red Hat OpenShift to provide telcos more flexibility in choosing a cloud platform. The move comes after Red Hat announced in 2023 a partnership to deliver Nokia's core network applications together with Red Hat's cloud infrastructure platforms. We assess the practical outcomes of Red Hat's portfolio development and marketing strategy as shown by its collaboration with telco organizations such as KDDI, Telenor, Turkcell, Perfectum, and an array of others to help accelerate cloud-native network deployments within multi-vendor environments including progress working with Nokia's anyRAN framework as well as Mavenir's Open RAN solutions in the Vodafone Idea network.

Episode: E821 PERSONAL PODCAST – BYOC Description: Intro: Kelly has Mother's Day Week! Subscription: A new foster dog enters the house, Kelly gets back to the bin stores and Steve breaks the 4th wall in podcasting.   Coupled with Chaos full episodes and bonus content subscriptions are available here:   Premium Content, including Additional 90 Day Fiancé episodes, The Real Housewives Content, and the personal podcast available by subscription at:   Supercast: https://coupledwithchaosnetwork.supercast.tech/   Patreon:  https://www.patreon.com/coupledwithchaos   Apple: Coupled with Chaos Channel: https://podcasts.apple.com/us/channel/coupled-with-chaos/id6442522170   Contacts us:   Email: Coupledwithchaos@gmail.com   Web site: https://coupledwithchaos.com   Facebook: @Coupledwithchaos Instagram: @Coupledwithchaos Twitter: @CoupledwChaos

Episode:PERSONAL PODCAST – BYOC Description:Intro: Kelly has Mother's Day Week! Subscription: A new foster dog enters the house, Kelly gets back to the bin stores and Steve breaks the 4th wall in podcasting. Coupled with Chaos full episodes and bonus content subscriptions are available here: Premium Content, including Additional 90 Day Fiancé episodes, The Real Housewives Content, and the personal podcast available by subscription at: Supercast: https://coupledwithchaosnetwork.supercast.tech/ Patreon:  https://www.patreon.com/coupledwithchaos Apple: Coupled with Chaos Channel: https://podcasts.apple.com/us/channel/coupled-with-chaos/id6442522170 Contacts us: Email: Coupledwithchaos@gmail.com Web site: https://coupledwithchaos.com Facebook: @Coupledwithchaos Instagram: @Coupledwithchaos Twitter: @CoupledwChaos 

As we get closer to the Iowa caucuses, we'll tell you how some GOP presidential candidates are spending their time. Fear of a wider Middle East conflict are growing after reports more than 100 people have been killed while visiting the grave of an Iranian military commander.. US debt has hit a new record as Congress approaches another federal funding deadline. The identities of dozens of people linked to Jefferey Epstein are expected to be revealed any day now. Plus, Starbucks is expanding its bring-your-own-cup policy. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of LIGHT TALK, The Lumen Brothers talk about everything from Great Assistants to Monkey Bidets. Join Steve, Stan, and David as they pontificate about: Cherubin update; A shout-out to great assistants;   Another discontinued university theatre program; Cool at the Kia dealership; LDI Light Talk surprises; Resolving student conflicts; "BYOC"; Post-Mortems; Missing "Shop Order" items; Nasty load-in surprises; Managing change; "Personal Portable Rolling Sphere"; Mentoring Styles; and Is it really important to attend one of the "Top Ten" graduate design programs? Nothing is Taboo, Nothing is Sacred, and Very Little Makes Sense.

Alex Gallego, CEO & Founder of Redpanda, joins Corey on Screaming in the Cloud to discuss his experience founding and scaling a successful data streaming company over the past 4 years. Alex explains how it's been a fun and humbling journey to go from being an engineer to being a founder, and how he's built a team he trusts to hand the production off to. Corey and Alex discuss the benefits and various applications of Redpanda's data streaming services, and Alex reveals why it was so important to him to focus on doing one thing really well when it comes to his product strategy. Alex also shares details on the Hack the Planet scholarship program he founded for individuals in underrepresented communities. About AlexAlex Gallego is the founder and CEO of Redpanda, the streaming data platform for developers. Alex has spent his career immersed in deeply technical environments, and is passionate about finding and building solutions to the challenges of modern data streaming. Prior to Redpanda, Alex was a principal engineer at Akamai, as well as co-founder and CTO of Concord.io, a high-performance stream-processing engine acquired by Akamai in 2016. He has also engineered software at Factset Research Systems, Forex Capital Markets and Yieldmo; and holds a bachelor's degree in computer science and cryptography from NYU. Links Referenced: Redpanda: https://redpanda.com/ Twitter: https://twitter.com/emaxerrno Redpanda community Slack: https://redpandacommunity.slack.com/join/shared_invite/zt-1xq6m0ucj-nI41I7dXWB13aQ2iKBDvDw Hack The Planet Scholarship: https://redpanda.com/scholarship TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: Tired of slow database performance and bottlenecks on MySQL or PostgresSQL when using Amazon RDS or Aurora? How'd you like to reduce query response times by ninety percent? Better yet, how would you like to get me to pronounce database names correctly? Join customers like Zscaler, Intel, Booking.com, and others that use OtterTune's artificial intelligence to automatically optimize and keep their databases healthy. Go to ottertune dot com to learn more and start a free trial. That's O-T-T-E-R-T-U-N-E dot com.Corey: Welcome to Screaming in the Cloud, I'm Corey Quinn, and this promoted guest episode is brought to us by our friends at Redpanda, which I'm thrilled about because I have a personal affinity for companies that have cartoon mascots in the form of animals and are willing to at least be slightly creative with them. My guest is Alex Gallego, the founder and CEO over at Redpanda. Alex, thanks for joining me.Alex: Corey, thanks for having me.Corey: So, I'm not asking about the animal; I'm talking about the company, which I imagine is a frequent source of disambiguation when you meet people at parties and they don't quite understand what it is that you do. And you folks are big in the data streaming space, but data streaming can mean an awful lot of things to an awful lot of people. What is it for you?Alex: Largely it's about enabling developers to build applications that can extract value of every single event, every click, every mouse movement, every transaction, every event that goes through your network. This is what Redpanda is about. It's like how do we help you make more money with every single event? How do we help you be more successful? And you know, happy to give examples in finance, or IoT, or oil and gas, if it's helpful for the audience, but really, to me, it's like, okay, if we can give you the framework in which you can build a new application that allows you to extract value out of data, every single event that's going through your network, to me, that's what a streaming is about. It large, it's you know, data contextualized with a timestamp and largely, a sort of a database of event streaming.Corey: One of the things that I find curious about the space is that usually, companies wind up going one of two directions when you're talking about data streaming. Either there, “Oh, just send it all to us and we'll take care of it for you,” or otherwise, it's a, great they more or less ship something that you've run in your own environment. In the olden days of data centers, that usually resembled a box of some sort. You're one of those interesting split-the-difference companies where you offer both models. Do you find that one of those tends to be seeing more adoption these days or that there's an increasing trend toward one direction or the other?Alex: Yeah. So, right now, I think that to me, the future of all these data-intensive products—whether you're a database or a streaming engine—will, because simply of cost of networks transferred between the hybrid clouds and your accounts, sending a gigabyte a second of data between, let's say, you know, your data center and a vendor, it's just so expensive that at some point, from just a cost perspective, like, running the infrastructure, it's in the millions of dollars. And so, running the data inside your VPC, it's sort of the next logical evolution of how we've used to consume services. And so, I actually think it's just the evolution: people would self-host because of costs and then they would use services because of operational simplicity. “I don't want to spend team skills and time building this. I want to pay a vendor.”And so, BYOC, to be honest—which is what we call this offering—it was about [laugh] sidestepping the costs and of being stuck in the hybrid clouds, whether it's Google or Amazon, where you're paying egress and ingress costs and it's just so expensive, in addition to this whole idea of data residency or data sovereignty and privacy. It's like, yeah, why not both? Like, if I'm an engineer, I want low latency and I don't want to pay you to transfer this thing to the next rack. I mean, my computer's probably, like, you know, a hundred feet away from my customer's computer. Like, why [laugh] way is that so complicated? So, you know, my view is that the future of data-intensive products will be in this form of where it—like, data planes are actually owned by companies, and then you offer that as a Software as a Service.Corey: One of the things that catches an awful lot of companies with telemetry use cases—or data streaming as another example of that—by surprise when they start building their own cloud-hosted offering is that they're suddenly seeing a lot more cross-AZ data charges than they would have potentially expected. And that's because unlike cross-region or the really expensive version of this with egress, it's a penny in and a penny out per gigabyte in most of AWS regions. Which means that that isn't also bound strictly to an AWS organization. So, you have customers co-located with you and you're starting to pay ingress charges on customers throwing their data over to you. And, on some level, the most economical solution for you is well, we're just going to put our listeners somewhere else far away so that we can just have them pay the steep egress fee but then we can just reflect it back to ourselves for free.And that's a terrible pattern, but it's a byproduct of the absolutely byzantine cross-AZ data transfer pricing, in fact, all of the data transfer pricing that is at least AWS tends to present. And it shapes the architectural decisions you make as a result.Alex: You know, as a user, it just didn't make sense. When we launched this product, the number of people that says like, “Why wouldn't your charge for, you know, effectively renting [unintelligible 00:05:14], and giving a markup to your customers?” That's we don't add any value on that, you know? I think people should really just pay us for the value that we create for them. And so, you know, for us competing with other companies is relatively easy.Competing with MSK is it's harder because MSK just has this, you know, muscle where they don't charge you for some particular network traffic between you. And so, it forces companies like us that are trying to be innovative in the data space to, like, put our services in that so that we can actually compete in the market. And so, it's a forcing function of the hybrid clouds having this strong muscle of being able to discount their services in a way that companies just simply don't have access to. And then, you know, it becomes—for the others—latency and sovereignty.Corey: This is the way that effectively all of AWS has first-party offerings of other things go. Replication traffic between AZs is not chargeable. And when I asked them about that, they say, “Oh, yeah. We just price that into the cost of the service.” I don't know that I necessarily buy that because if I try and run this sort of thing on top of EC2, it would cost me more than using their crappy implementation of it, just in data transfer alone for an awful lot of use cases.No third party can touch that level of cost-effectiveness and discounting. It really is probably the clearest example I can think of actual anti-competitive behavior in the market. But it's also complex enough to explain, to, you know, regulators that it doesn't make for exciting exposés and the basis for lawsuits. Yet. Hope springs eternal.Alex: [laugh]. You know—okay, so here is how—if someone is listening to this podcast and is, like, “Okay, well, what can I do?” For us, S3 is the answer. S3 is basically you need to be able to lean in into S3 as a way of replication across [AZ 00:06:56], you need to be able to lean into S3 to read data. And so actually, when I wrote, originally, Redpanda, you know, it's just like this C++ thing using [unintelligible 00:07:04], geared towards super low latency.When we moved it into the cloud, what we realized is, this is cost prohibitive to run either on EBS volumes or local disk. I have to tier all the storage into S3, so that I can use S3's cross-AZ network transfer, which is basically free, to be able to then bring a separate cluster on a different AZ, and then read from the bucket at zero cost. And so, you end up really—like, there are fundamental technical things that you have to do to just be able to compete in a way that's cost-effective for you. And so, in addition to just, like, the muscle that they can enforce on the companies is—it—there are deep implications of what it translates to at the technical level. Like, at the code level.Corey: In the cloud, more than almost anywhere else, it really does become apparent that cost and architecture are fundamentally the same thing. And I have a bit of an advantage here in that I've seen what you do deployed at least one customer of mine. It's fun. When you have a bunch of logos on your site, it's, “Hey, I recognize some of those.” And what I found interesting was the way that multiple people, when I spoke to them, described what it is that you do because some of them talked about it purely as a cost play, but other people were just as enthusiastic about it being a means of improving feature velocity and unlocking capabilities that they didn't otherwise have or couldn't have gotten to without a whole lot of custom work on their part. Which is it? How do you view what it is that you're bringing to market? Is it a cost play or is it a capability story?Alex: From our customer base, I would say 40% is—of our customer base—is about Redpanda enabling them to do things that they simply couldn't do before. An example is, we have, you know, a Fortune 100 company that they basically run their hedge trading strategy on top of Redpanda. And the reason for that is because we give them a five-millisecond average latency with predictable flight latencies, right? And so, for them, that predictability of Redpanda, you know, and sort of like the architecture that came about from trying to invent a new storage engine, allows them to throw away a bunch of in-house, you know, custom-built pub/sub messaging that, you know, basically gave them the same or worse latency. And so, for them, there's that.For others, I think in the IoT space, or if you have flying vehicles around the world, we have some logos that, you know, I just can't mention them. But they have this, like, flying computers around the world and they want to measure that. And so, like, the profile of the footprint, like, the mechanical footprint of being able to run on a single Pthread with a few megs of memory allows these new deployment models that, you know, simply, it's just, it's not possible with the alternatives where let's say you have to have, you know, like, a zookeeper on the schema registry and an HTTP proxy and a broker and all of these things. That simply just, it cannot run on a single Pthread with a few megs of memory, if you put any sort of workload into that. And so, it's like, the computational efficiencies simply enable new things that you couldn't do before. And that's probably 40%. And then the other, it's just… money was really cheap last year [laugh] or the year before and I think now it's less cheap [unintelligible 00:10:08] yeah.Corey: Yeah, I couldn't help but notice that in my own business, too. It turns out that not giving a shit about the AWS bill was a zero-interest-rate phenomenon. Who knew?Alex: [laugh]. Yeah, exactly. And now people [unintelligible 00:10:17], you know, the CIOs in particular, it's like, help. And so, that's really 60%, and our business has boomed since.Corey: Yeah, one thing that I find interesting is that you've been around for only four years. I know that's weird to say ‘only,' but time moves differently in tech. And you've started showing up in some very strange places that I would not have expected. You recently—somewhat recently; time is, of course, a flat circle—completed $100 million Series C, and I also saw you in places where I didn't expect to see you in the form of, last week, one of your large competitor's earnings calls, where they were asked by an analyst about an unnamed company that had raised $100 million Series C, and the CEO [unintelligible 00:11:00], “Oh, you're probably talking about Redpanda.” And then they gave an answer that was fine.I mean, no one is going to be on an earnings call and not be prepared for questions like that and to not have an answer ready to go. No one's going to say, “Well, we're doomed if it works,” because I think that businesses are more sophisticated than that. But it was an interesting shout-out in a place where you normally don't see competitors validate that you're doing something interesting by name-checking you.Alex: What was fundamentally interesting for me about that, is that I feel that as an investor, if you're putting you know, 2, 3, 4, or $500 million check into a public position of a company, you want to know, is this money simply going to make returns? That's basically what an investor cares about. And so, the reason for that question is, “Hey, there's a Series C startup company that now has a bunch of these Fortune 2000 logos,” and you know, when we talked to them, like, their customer [unintelligible 00:11:51] phenomena, like, why is that the case? And then, you know, our competitor was forced to name, you know, [laugh] a single win. That's as far as I remember it. We don't know of any additional customers that have switched to that.And so, I think when you have, like, you know, your win rate is above, whatever, 95%, 97% ratio, then I think, you know, they're just sort of forced to answer that. And in a way, I just think that they focus on different things. And for me, it was like, “Okay, developer, hands on keyboard, behind the terminal, how do I make you successful?” And that seems to have worked out enough to be mentioned in the earnings call.Corey: On some level, it's a little bit of a dog-and-pony show. I think that as companies had a certain point of scale, they feel that they need to validate what they're doing to investors at various points—which is always, on some level, of concern—and validate themselves to analysts, both financial—which, okay, whatever—and also, industry analysts, where they come with checklists that they believe is what customers want and is often a little bit off of the mark. But the validation that I think that matters, that actually determines whether or not something has legs is what your customers—you know, people paying you money for a thing—have to say and what they take away from what you're doing. And having seen in a couple of cases now myself, that usage of Redpanda has increased after initial proofs of concept and putting things on to it, I already sort of know the answer to this, but it seems that you also have a vibrant community of boosters for people who are thrilled to use the thing you're selling them.Alex: You know, Jumptraders recently posted that there was a use case in the new stack where they, like, put for the most mission-critical. So, for those of you that listening, Jumptraders is financial company, and they're super technical company. One of, like, the hardest things, they'll probably put your [unintelligible 00:13:35] your product through some of the most rigorous testing [unintelligible 00:13:38]. So, when you start doing some of these logos, it gives confidence. And actually, the majority of our developers that we get to partner with, it was really a friend telling a friend, for [laugh] the longest time, my marketing department was super, super small.And then what's been fun, some, like, really different use case was the one I mentioned about on this, like, flying vehicles around the world. They fly both in outer space and in airplanes. That was really fun. And then the large one is when you have workloads at, like, 14-and-a-half gigabytes per second, where the alternative of using something like Kinesis in the case of Lacework—which, you know, they wrote a new stack article about—would be so exorbitantly expensive. And so, in a way, I think that, you know, just trying to make the developers successful, really focusing, honestly, on the person who just has to make things work. We don't—by the time we get to the CIO, really the champion was the engineer who had to build an application. “I was just trying to figure it out the whack-a-mole of trying to debug alternative systems.”Corey: One of the, I think, seductive problems with your entire space is that no one decides day one that they're going to implement a data streaming solution for a very scaled-out, high-traffic site. The early adoption is always a small thing that you're in the process of building. And at that scale at that speed, it just doesn't feel like it's that hard of a problem because scale introduces its own unique series of challenges, but it's often one that people only really find out themselves when the simple thing that works in theory but not in production starts to cause problems internally. I used to work with someone who was a deeply passionate believer in Apache Kafka to a point where it almost became a problem, just because their answer to every problem—it almost didn't matter if it was, “How do we get more coffee this morning?”—Kafka would be the answer for all of it.And that's great, but it turned out, they became one of these people that borderline took on a product or a technology as their identity. So, anything that would potentially take a workload away from that, I got a lot of internal resistance. I'm wondering if you find that you're being brought in to replace existing systems or for completely greenfield stuff. And if the former, are you seeing a lot of internal resistance to people who have built a little niche for themselves?Alex: It's true, the people that have built a career, especially at large banks, were a pretty good fit for, you know, they actually get a team, they got a promotion cycle because they brought this technology and the technology sort of helped them make money. I personally tend to love to talk to these people. And there was a ca—to me, like, technically, let's talk about, like, deeply technical. Let me help you. That obviously doesn't scale because I can't have the same conversation with ten people.So, we do tend to see some of that. Actually, from our customers' standpoint, I would say that the large part of our customer base, you know, if I'm trying to put numbers, maybe 65%, I probably rip and replace of, you know, either upstream Apache Software or private companies or hosted services, et cetera. And so, I think you're right in saying, “Hey, that resistance,” they probably handled the [unintelligible 00:16:38], but what changed in the last year is that the CIO now stepped in and says, “I am going to fire all of you or you have to come up with a $10 million savings. Help me.” [laugh]. And so, you know, then really, my job is to help them look like a hero.It's like, “Hey, look, try it tested, benchmark it in your with your own workload, and if it saves you money, then use it.” That's been, you know, to sort of super helpful kind of on the macroeconomic environment. And then the last one is sometimes, you know, you do have to go with a greenfield, right? Like, someone has built a career, they want to gain confidence, they want to ask you questions, they want to trust you that you don't lose data, they want to make sure that you do say the things that you want to say. And so, sometimes it's about building trust and building that relationship.And developers are right. Like, there's a bunch of products out there. Like, why should I trust you? And so, a little easier time, probably now, that you know, with the CIOs wanting to cut costs, and now you have an excuse to go back to the executive team and say, “Look, I made you look smart. We get to [unintelligible 00:17:35], you know, our systems can scale to this.” That's easy. Or the second one is we do, you know, we'll start with some side use case or a greenfield. But both exists, and I would say 65% is probably rip-outs.Corey: One question, I love to, I wouldn't call it ambush, but definitely come up with, the catches some folks by surprise is one of the ways I like to sort out zealots from people who are focused on business problems. Do have an example of a data streaming workload for which Redpanda would not be a great fit?Alex: Yeah. Database-style queries are not a fit. And so, think that there was a streaming engine before there was trying to build a database on top of it, and, like—and probably it does work in some low volume of traffic, like, say 5, 10 megabytes per second, but when you get to actual large scale, it just it doesn't work. And it doesn't work because but what Redpanda is, it gives you two properties as a developer. You can add data to the end or you can truncate the head, right?And so, because those are your only two operations on the log, then you have to build this entire caching level to be able to give this database semantics. And so, do you know, I think for that the future isn't for us to build a database, just as an example, it's really to almost invert it. It's like, hey, what if we make our format an open format like Apache Iceberg and then bring in your favorite database? Like, bring in, you know, Snowflake or Athena or Trina or Spark or [unintelligible 00:18:54] or [unintelligible 00:18:55] or whatever the other [unintelligible 00:18:56] of great databases that are better than we are, and doing, you know, just MPP, right, like a massively parallelizable database, do that, and then the job for us, for [unintelligible 00:19:05], let me just structure your log in a way that allows you to query, right? And so, for us, when we announced the $100 million dollar Series C funding, it's like, I'm going to put the data in an iceberg format so you can go and query it with the other ten databases. And there are a better job than we are at that than we are.Corey: It's frankly, refreshing to see a vendor that knows where, okay, this is where we start and this is where we stop because it just seems that there's been an industry-wide push for a while now to oh, you built a component in a larger system that works super well. Now, expand to do everything else in the architectural diagram. And you suddenly have databases trying to be network transport layers and queues trying to be data warehouses, and it just doesn't work that way. It just it feels like oh, this is a terrible approach to solving this particular problem. And what's worse, from my mind, is that people who hadn't heard of you before look at you through this lens that does not put you in your best light, and, “Oh, this is a terrible database.” Well, it's not supposed to be one.Alex: [laugh].Corey: But it also—it puts them off as a result. Have you faced pressure to expand beyond your core competency from either investors or customers or analysts or, I don't know, the voices late at night that I hear and I assume everyone else does, too?Alex: Exactly. The 3 a.m. voice that I have to take my phone and take a voice note because it's like, I don't want to lose this idea. Totally. For us. I think there's pressures, like, hey, you built this great engine. Why don't you add, like, the latest, you know, soup de jour in systems was like a vector database.I was like, “This doesn't even make any sense.” For me, it's, I want to do one thing really well. And I generally call it internally, ‘the ring zero.' It's, if you think of the internet, right, like, as a computer, especially with this mode to what we talked about earlier in a BYOC, like, we could be the best ring zero, the best sort of like, you know, messaging platform for people to build real-time applications. And then that's the case and there's just so much low-hanging fruit for us.Like, the developer experience wasn't great for other systems, like, why don't we focus on the last mile, like, making that developer, you know, successful at doing this one thing as opposed to be an average and a bunch of other a hundred products? And until we feel, honestly, that we've done a phenomenal job at that—I think we still have some roadmap to get there—I don't want to expand. And, like, if there's pressure, my answer is, like… look, the market is big enough. We don't have to do it. We're still, you know, growing.I think it's obviously not trivial and I'm kind of trivializing a bunch of problems from a business perspective. I'm not trying to degrade anyone else. But for us, it's just being focused. This is what we do well. And bring every other technology that makes you successful. I don't really care. I just want to make this part well.Corey: I think that that is something that's under-appreciated. I feel like I should get over at one point to something that's been nagging at the back of my mind. Some would call it a personal attack and I suppose I'll let them, but what I find interesting is your background. Historically, you were a distributed systems engineer at very large scale. And you apparently wrote the first version of Redpanda yourself in—was it C or C++?Alex: C++.Corey: Yeah. And now you are the CEO of a company that is clearly doing very well. Have you gotten the hell out of production yet? The reason I ask this is I have worked in a number of companies where the founder was also the initial engineer and then they invariably treated main as their feature branch and the rest of us all had to work around them to keep them from, you know, destroying everything we were trying to build around us, due to missing context. In other words, how annoyed with you are your engineers on any given afternoon?Alex: [laugh]. Yeah. I would say that as a company builder now, if I may say that, is the team is probably the thing I'm the most proud of. They're just so talented, such good [unintelligible 00:22:47] of humans. And so—group of humans—I stopped coding about two years ago, roughly.So, the company is four-and-a-half years old, really the first two-and-a-half years old, the first one, two years, definitely, I was personally putting in, like, tons and tons of hours working on the code. It was a ton of fun. To me, one of the most rewarding technical projects I've ever had a chance to do. I still read pull requests, though, just so that when I have a conversation with a technical leader, I don't be, like, I have no clue how the transactions work. So, I still have to read the code, but I don't write any more code and my heart was a little broken when my dev prod team removed my write access to the GitHub repo.We got SOC2 compliance, and they're like, “You can't have access to being an admin on Google domains, and you're no longer able to write into main.” And so, I think as a—I don't know, maybe my identity—myself identity is that of a builder, and I think as long as I personally feel like I'm building, today, it's not code, but you know, is the company and [unintelligible 00:23:41] sort of culture, then I feel okay [laugh]. But yeah, I no longer write code. And the last story on that, is this—an engineer of ours, his name is [Stefan 00:23:51], he's like, “Hey, so Alex wrote this semaphore”—this was actually two days ago—and so they posted a video, and I commented, I was like, “Hey, this was the context of semaphore. I'm sorry for this bug I caused.” But yeah, at least I still remember some context for them.Corey: What's fun is watching things continue to outpace and outgrow you. I mean, one of the hard parts of building a company is the realization that every person you hire for a thing that's now getting off of your plate is better at that thing than you are. It's a constant experience of being humbled. And at some point, things wind up outpacing you to the point where, at least in my case, I've been on calls with customers and I explained how we did some things and how it worked and had to be corrected by my team of, “Well. That used to be true, however…” like, “Oh, dear Lord. I'm falling behind.” And that's always been a weird feeling for me.Alex: Totally. You know, it's the feeling of being—before I think I became a CEO, I was a highly comped  engineer and did a competent, to the extent that it allowed me to build this product. And then you start doing all of these things and you're incompetent, obviously, by definition because you haven't done those things and so there's like that discomfort [laugh]. But I have to get it done because no one else wants to do, whatever, like say, like, you know, rev ops or marketing or whatever.And then you find somebody who's great and you're like, oh my God, I was like, I was so poor tactically at doing this thing. And it's definitely humbling every day. And it's almost it's, like, gosh, you're just—this year was kind of this role where you're just, like, mediocre at, like, a whole lot of things as a company, but you're the only person that has to do the job because you have the context and you just have to go and do it. And so, it's definitely humbling. And in some ways, I'm learning, so for me today, it's still a lot of fun to learn.Corey: This is a little more in the weeds, I suppose, but I always love to ask people these questions. Because I used to be naive, which meant that I had hope and I saw a brighter future in technology. I now know that was all a lie. But I used to believe that out there was some company whose internal infrastructure for what they'd built was glorious and it would be amazing. And I knew I would never work there, nor what I want to, because when everything's running perfectly, all I can really do is mess that up; there's no way to win and a bunch of ways to lose.But I found that place doesn't exist. Every time I talk to someone about how they built the thing that they built and I ask them, “If you were starting over from scratch, what would you do differently?” The answer often distills down to, “Oh, everything.” Because it's an organically evolving system that oh, yeah, everything's easier the second time. At least you get to find new failure modes go in that way. When you look back at how you designed it originally, are there any missteps that you could have saved yourself a whole lot of grief by not making the first time?Alex: Gosh, so many things. But if I were to give Hollywood highlights on these things, something that [unintelligible 00:26:35] is, does well is exposing these high-level data types of, like, streams, and lists and maps and et cetera. And I was like, “Well, why couldn't streams offer this as a first-class citizen?” And we got some things well which I think would still do, like the whole [thread recorder 00:26:49] could—like, the fundamentals of the engine I will still do the same. But, you know, exposing new programming models earlier in the life of the product, I think would have allowed us to capture even more wildly different use cases.But now we kind of have this production engine, we have to support Fortune 2000, so you know, it's kind of like a very delicate evolution of the product. Definitely would have changed—I would have added, like, custom data types upfront, I would have pushed a little harder on I think WebAssembly than we did originally. Man, I could just go on for—like, [added detail 00:27:21], I would definitely have changed things. Like, I would have pressed on the first—on the version of the cloud that we talked about early on, that as the first deployment mode. If we go back through the stack of all of the products you had, it's funny, like, 11 products that are surfaced to the customers to, like, business lines, I would change fundamental things about just [laugh], you know, everything else. I think that's maybe the curse of the expert. Like, you know, you could always find improvements.Corey: Oh, always. I still look back at my career before starting this place when I was working in a bunch of finance companies, and—I'll never forget this; it was over a decade ago—we were building out our architecture in AWS, and doing a deal with a large finance company. And they said, “Cool, where's your data center?” And I said, “Oh, it's AWS.” And they said, “Ha ha ha ha. Where's your data center?”And that was oh, okay, great. Now, it feels like if that's their reaction, they have not kept pace with the times. It feels it is easier to go to a lot of very serious enterprises with very serious businesses and serious workload concerns attendant to those and not get laughed out of the room because you didn't wind up doing a multi-million dollar data center build out that, with an eye toward making it look as enterprise-y as possible.Alex: Yeah. Okay, so here's, I think, maybe something a little bit controversial. I think that's true. People are moving to the cloud, and I don't think that that idea, especially when we go when we talk to banks, is true. They're like, “Hey, I have this contract with one of the hybrid clouds.”—you know, it's usually with two of them, and then you're like—“This is my workload. I want to spend $70 million or $100 million. Who could give me the biggest discount?” And then you kind of shop it around.But what we are seeing is that effectively, the data transfer costs are so expensive and running this for so much this large volume of traffic is still so, so expensive, that there is an inverse [unintelligible 00:29:09] to host from some category of the workload where you don't have dynamism. Actually hosted in your data center is, like, a huge boom in terms of cost efficiencies for the companies, especially where we are and especially in finances—you mentioned that—if you're trying to trade and you have this, like, steady state line from nine to five, whatever, eight to four, whenever the markets open, it's actually relatively cost-efficient because you can measure hey, look, you know, the New York Stock Exchange is 1.5 gigabytes per second at market close. Like, I could provision my hardware to beat this. And like, it'll be that I don't need this dynamism that the cloud gives me.And so yeah, it's kind of fascinating that for us because we offered the self-hosted Redpanda which can adapt to super low latencies with kernel parameter tuning, and the cloud due to the tiered storage, we talked about S3 being [unintelligible 00:29:52] to, so it's been really fun to participate in deployments where we have both. And you couldn't—they couldn't look more different. I mean, it's almost looks like two companies.Corey: One last question before we wind up calling it an episode. I think I saw something fly by on Twitter a while back as I slowly returned to the platform—no, I'm not calling it X—something you're doing involving a scholarship. Can you tell me a bit more about that?Alex: Yeah. So, you know, I'm a Latino CEO, first generation in the States, and some of the things that I felt really frustrated with, growing up that, like, I feel fortunate because I got to [unintelligible 00:30:25] that is that, you know, people were just—that look like me are probably given some bullshit QA jobs, so like, you know, behemoth job, I think, for a bank. And so, I wanted to change that. And so, we give money and mentorship to people and we release all of the intellectual property. And so, we mentor someone—actually, anyone from underrepresented backgrounds—for three months.We give then, like, 1200 bucks a month—or 1500, I can't remember—mentorship from our top principal level engineers that have worked at Amazon and Google and Facebook and basically the world's top companies. And so, they meet with them one hour a week, we give them money, they could sit in the couch if they want to. No one has to [unintelligible 00:31:06]. And all we're trying to do is, like, “Hey, if you are part of this group, go and try to build something super hard.” [laugh].And often their minds, which is great, and they're like, “I want to build an OpenAI competitor in three months, and here's the week-by-week progress.” Or, “I want to build a new storage engine, new database in three months.” And that's the kind of people that we want to help, these like, super ambitious, that just hasn't had a chance to be mentored by some of the world's best engineers. And I just want to help them. Like, we—this is a non-scalable project. I meet with them once a week. I don't want to have a team of, like, ten people.Like, to me, I feel like their most valuable thing I could do is to give them my time and to help them mentor. I was like, “Hey, let's think about this problem. Let's decompose this. How do you think about this?” And then bring you the best engineers that I, you know, that work for—with me, and let me help you think about problems differently and give you some money.And we just don't care how you use the time or the money; we just want people to work on hard problems. So, it's active. It runs once a year, and if anyone is listening to this, if you want to send it to your friends, we'd love to have that application. It's for anyone in the world, too, as long as we can send the person a check [laugh]. You know, my head of finance is not going to walk to a Moneygram—which we have done in the past—but other than that, as long as you have a bank account that we can send the check to, you should be able to apply.Corey: That is a compelling offer, particularly in the current macro environment that we find ourselves faced in. We'll definitely put a link to that into the [show notes 00:32:32]. I really want to thank you for taking the time to, I guess, get me up to speed on what it is you're doing. If people want to learn more where's the best place for them to go?Alex: On Twitter, my handle is @emaxerrno, which stands for the largest error in the kernel. I felt like that was apt for my handle. So, that's one. Feel free to find me on the community Slack. There's a Slack button on the website redpanda.com on the top right. I'm always there if you want to DM me. Feel free to stop by. And yeah, thanks for having me. This was a lot of fun.Corey: Likewise. I look forward to the next time. Alex Gallego, CEO and founder at Redpanda. I'm Cloud Economist Corey Quinn, and this is Screaming in the Cloud. If you've enjoyed this podcast, please leave a five-star review on your podcast platform of choice, whereas if you've hated this podcast, please leave a five-star review on your podcast platform of choice, along with an insulting comment that I will almost certainly never read because they have not figured out how to get data from one place to another.Corey: If your AWS bill keeps rising and your blood pressure is doing the same, then you need The Duckbill Group. We help companies fix their AWS bill by making it smaller and less horrifying. The Duckbill Group works for you, not AWS. We tailor recommendations to your business and we get to the point. Visit duckbillgroup.com to get started.

This SATURDAY we chat about Tash's bday weekend, a hack for cleaning your shoes, bonding through travel, our new fave seltzer, exiting group chats, Linda the pigeon, BYOC, cleaning your hair brushes, McDonald sponsorships & so much more! xoxo Tash & Ro #itsaturdaypod No Days Wasted - Use code “itsaturdaypod” to receive 15% off! (https://nodayswasted.co/?ref=wFb-4m4F66qa5f) Listen & subscribe: ⁠https://linktr.ee/itsaturdaypod⁠ Instagram & Tiktok: @itsaturdaypod Intro animation by Heidi Martin (@modestviolet) Disclaimer: Opinions expressed here are solely our own and do not express the views or opinions of our employers.

#BYOC

Consumers Energy exceeded its 1,000 EV enrollment target for the PowerMIDrive Program by 33% in 2022, demonstrating the EV load management program can scale to its next target of 10,000 vehicles and far beyond. Join us to learn about this successful program that started in 2019 with networked chargers, then telematics hardware, and ultimately experienced a massive boost in enrollments with the addition of a "Bring Your Own Charger" (BYOC) component. The BYOC component was powered by AMI data analytics and program partner Sagewell, and offers more equitable access by enabling any EV and any level 2 charger to enroll into PowerMIDrive which shifts 98% of EV load to off-peak hours without active load management.Every-day peak reduction is crucial in Michigan where the distribution grid is sized for relatively small AC load, and where a 7 kW EV charger can overload a transformer every summer and winter evening. The PowerMIDrive program makes room for faster beneficial electrification and decarbonization by reducing the need to upgrade the distribution system, and in January 2023, was approved by the Michigan Public Services Commission to become a permanent offering.

UC Today's Tom Wright hosts Dstny Automate's Mark Herbert and Ribbon's Greg Zweig.In this session, we discuss the following:The UCaaS voice integration platform developed in partnership with Dstny Automate and RibbonWhy Dstny Automate and Ribbon have partneredHow the platform helps Service Providers address the rising need of BYOC

Earlier this month, Peerless Network, an Infobip company, began offering Talkdesk CX Cloud, Genesys AppFoundry, and BYOC (Bring Your Own Carrier) to enterprises across the U.S. With Peerless' SIP Trunking services, customers can enjoy the benefits of a cloud-native contact center solution. These benefits include flexibility, cost effectiveness, including helping to preserve PBX investments as cloud transition occurs and control, allowing migration to occur at your one place. In this podcast, Jim Brewer, EVP of Products and Technology walks us through these recent announcements. The Peerless BYOC solution combines SIP Trunking and direct access to their fully IP-based network resulting in more efficient and reliable communications along with significant cost savings. Visit Peerless Network www.peerlessnetwork.com and Infobip.

Lofi Girl, a popular YouTube channel known for its relaxing music stream, recently introduced a new friend and a new stream, which fans are calling “Synthwave Boy.” The mystery began when Lofi Girl's Twitter account teased something outside her window, leading fans to a distant building that blinked Morse code directing people to a non-existent website. Lofi Girl and her cat later vanished, sending fans into a frenzy until a new stream cropped up on the same channel, leading up to the reveal of Synthwave Boy. Fans of the stream's relaxing vibes are excited about the new addition. QuakeCon, the annual convention celebrating Doom, Quake, and other Bethesda games, is returning to Grapevine, Texas, from August 10 to 13 for its first in-person event since 2019. The convention will focus on the fan-favorite BYOC event, which has been upgraded with four days of round-the-clock gaming, community events, meetups with friends, and the annual esports finale of the Quake World Championships. The event will be ticketed-only and limited to pre-registered BYOC guests, with no General Admission or exhibit hall. More information about the event will be available soon. #lofigirl #synthwaveboy #quake

Welcome back for season 4 of Bring Your Own Chair! Listen in for some quick updates on what to expect for season 4.

Save money on your phone plan today at https://www.mintmobile.com/wanshow Get Exclusive NordSecurity deals here ➼ https://nordsecurity.com/wan All products are risk-free with Nord's 30-day money-back guarantee! Go to https://www.masterclass.com/WAN to purchase an annual MasterClass membership and get one free Timestamps (Courtesy of NoKi1119) Note: Timing may be off due to sponsor change: 0:00 Chapters 1:24 Intro 1:51 Topic #1 - YouTube to deal with bots & comment spam 2:21 Linus reasons why he does not look at YT chat 3:16 YouTube bot moderators issue timeouts & warnings 4:35 Discussing the history of YouTube monetization 5:14 Discussing ads, privateering, & Linus's ADHD experience 24:11 LMG's experience with comment spam, discussing timeout 26:33 ChatGPT & bots, policies affect quality of comment conversations 30:29 Linus is tired of comments with bad takes & misinterpretation 35:06 Exploring solutions for responding to misled comments 37:16 Pixel count V.S. pixels per inch, elaborating on the difference 40:47 Optical & image resolution, discussing cameras & printing 42:26 Topic #2 - TikTok experiments with horizontal videos 44:29 Why upload LMG content on TikTok, discussing the platform's stability 46:25 YouTube's services, mentioning audience interactions, shorts & stories 52:32 TikTok has more average watch time than YouTube 53:34 Discussing LTTStore products & ideas 54:39 Shorty version of the screwdrivers 55:20 LMG hiring electronics engineers, product examples 57:38 RGB doormat, battery tester, tissue box "for the haters" 1:00:17 Creator Warehouse to debut products in CES 1:01:15 Topic #3 - Linus receives Ludwig's bidet, recalls trip to Japan 1:03:26 Merch Messages #1 1:13:48 Sponsors 1:18:10 Topic #4 - The last seven days in Twitter #3 1:18:46 ElonJet suspended, banning accounts interacted with ElonJet 1:21:36 Elon tweets about stalker, shows car's license plate 1:22:55 JerryRigEverything blocked by Elon after calling him out 1:23:43 Leaks of Elon encouraging investors after himself dumping stocks 1:24:25 Mastodon's Twitter banned, Linus lowers time spent on Twitter 1:26:29 Claims of users peaking again, discussing Twitter's stability 1:27:55 Twitter Spaces turned off, Linus on the impact of negative attention 1:30:34 Synchronized drinking, Elon Jet information is public 1:33:08 Linus & Luke discuss social platforms 1:35:05 Topic #5 - Europe forces Apple to allow sideloading 1:37:09 Topic #6 - Epic Stores shuts down games, removal of games on stores 1:43:38 Topic #7 - y-cruncher hardwarebot removed LMG's record 1:44:48 Topic #8 - Reacting to Linus dropping things 2022 edition 1:46:57 Linus's stance on using & remixing LMG content 1:48:11 Topic #9 - Linus suggests banning apps with limited copy-paste 1:52:40 Topic #10 - Dell's Project Luna disassembles in 30 seconds 1:53:41 Sustainability, QR codes, laptop has no cables or screws 1:55:18 Linus on his & Luke's humor 1:55:49 How does Linus feel about his investment in Framework? 1:57:28 Linus on NAS software & stupid difficulty 1:59:54 Merch Messages #2 2:18:32 Topic #11 - BYOC ticket pricing for LTX 2023 2:19:11 Orca, Shark & Dolphin package designs 2:12:02 Topic #12 - Floatplane exclusives on LMG Clips for 48 hours 2:20:52 Merch Messages #3 2:24:22 How is the stream distributed? 2:29:22 Outro

upping the dog food intake ... BYOC ... dead guy in the doggy door ... automatic feeders ... cat people ... one leg man goes to space ... Scorpio can't stop laughing ... jumping off an aircraft carrier ... make me shut up ... the lighthouse ... give an experience ... younger and younger getting prego ... is there a job market for ballerina ...

QuakeCon is a yearly convention held by ZeniMax Media to celebrate and promote the major franchises of id Software and other studios owned by ZeniMax. It includes a large, paid, bring-your-own-computer (BYOC) computer gaming event with a competitive tournament held every year in Dallas, Texas, USA. The event, which is named after id Software's game Quake, sees thousands of gamers from all over the world attend every year to celebrate the company's gaming dynasty. The event is highly dependent on volunteers to cover many aspects of the organization of the event. QuakeCon has historically had a reputation as the "Woodstock of gaming", and a week of "peace, love, and rockets!"Check it out at www.quakecon.orgFollow on Twitter - @QuakeconFacebook - https://www.facebook.com/quakecon

Phil fills in for Tom and shares a harrowing story about a recent visit to the dentist; Kevin finds out that the big U.S Senate debate between Tom, Senator Todd Young, and James Sceniak this Sunday, October 16th at 7 PM ET will now also be aired on C-SPAN; the LOCPOD crew discusses the latest controversies involving Kanye West, Jennifer-Ruth Green and Congressman Frank Mrvan, and more.

On this weeks episode of Daddy's Home we find out the hooters hooligan tampering with wings is FAKE, our weekend away in Vermont, and synchronized skating, and the impossible has begun...a weed break. All that and more on Daddy's Home. Rate Review Subscribe Like and Share Instagram @eyemsteve @escumelo @daddyshomepod twitch: @eyemsteve2 Spotify: https://open.spotify.com/artist/53hQjsooTJGPA4BVXJTG80?si=X7jk_xxYSIuyPL4OQ0RZQg

Piper G sober in 2009 from BYOC in Connecticut sharing on the topic of - Let's start at Step 1 from June of 2022 at the Broken Elevator meeting. Zoom Email: sobercast@gmail.com Support Sober Cast: https://sobercast.com/donate We have added a page of meetings that have moved online https://sobercast.com/online-meetings Sober Cast has 1900+ episodes available, visit SoberCast.com to access all the episodes where you can easily find topics or specific speakers using tags or search.

You've heard of BYOB...but have you heard of BYOC? Find out what happens on today's Make Up or Break Up!

This week, RJ announces BatchLeads is going BYOC (bring your own carrier), which means you'll now need to purchase and register phone numbers from Twilio, Signalwire, Plivo, or Teli and import them into BatchLeads to use them for in-app SMS. RJ also explains how new carrier regulations means we also need to send less than 200 texts per line, per day, and explains how more targeted and personalized campaigns can actually lead to more deals.Click Below for step-by-step instructions on how to set up 3rd party integrations to continue texting with BatchLeads:https://support.batchleads.io/support/solutions/articles/47001211442-custom-sms-integrations-resource-guideIf you're just starting out and you want to market directly to sellers, I highly recommend using BatchLeads. We currently use them in our business to pull lists, stack lists, get phone numbers, text, and find property values. It is an amazing service that will help you get deals on any budget!Promo Code: TITANIUM for half off your first month: https://batchleads.io/titaniumFor a 7 Day FREE trial of BatchDialer go to: https://batchdialer.com/titanium14 Day Trial and 50 FREE skip traces on the best Driving for Dollars App in Real Estate Investing: https://batchdriven.com/titaniumReceive 15% off Skip Tracing at Batch Skip Tracing using PROMO code TITANIUM: https://www.batchskiptracing.com/To attend our 2 day trial by fire boot camp, The Titanium Crucible visit https://titaniumcrucible.comSupport the show (https://www.patreon.com/rjbatesiii)

MessageGals sat down with Phrasee's Jessica Filipovic, Director of Customer Experience. From her former experience at Tiffany's to Phrasee's amazing company culture, Jessica brought us laughs and a few new terms. BYOC. What's that mean? Tune in to find out more!

All of the things for this final challenge episode of the year! This month, Bobby started learning guitar and how to make space for new hobbies, while Casey re-committed to writing daily and enjoying the process instead of focusing on the results. The two competed in a daily physical challenge, and you can listen in to hear who won, as well as a lovely rendition of Jingle Bells from the loser.

Its That Time of YEARRR!!!!!! Yes this episode of GWBW is all about HALLOWEEN!BYOC! Bring your own candy, and u better share!!! Its all about the kids (of all ages!) Plus our world unknown Top 5 and the 1 minute teachings of Mannwitch!

Welcome to the grande finale of season one BYOC, we thought it would be fun to do mesh up of the different interviews from people i've spoken to from season one. To those of you haven't listened to the first season yet, this will give you a little insight in what to expect and to everyone who has heard the first season, hopefully this gives you a good recap of where we are going! 

This week I got to speak with Alex Gladstein from the Human Rights Foundation who's mission is, to unite the world against tyranny. We speak about HRF's BAFTA nominated film - The Dissident - on the Saudi assassination of a journalist, Bitcoin's role in the fight against authoritarian governments and unsound monetary policy, on the UN's role in maintaining the status quo, a world where over 50% of the population live under tyranny, and what the next trend in decentralising forces looks like.Twitter: @Gladstein @HRF 

Frances Kendall was born in Kenya and later moved to South Africa. She is an artist, author, and cross Africa backpacker. In 1986 in the last years of Apartheid, she wrote a book called South Africa: The Solution. A bold title for a bold theory. That South Africa should adopt the Swiss model of decentralised governance. Fast forward a few decades and Frances is not so sure The Solution is the right one. Join me on a chat of her journey from then to now, and also how to raise children who feel empowered to change the world. 

Dryden Brown is a former pro surfer and investment banker who founded Bluebook Cities - a new type of society built around a community of people who want to build great things. We discuss how he's building the community, why heroism is important to their culture, and why his city will appeal to young people tired of "boomer" cities and politicians' lack of vision for the future.Twitter: @drydenwtbrown @BluebookCities

Temba Nolutshungu is director of the Free Market Foundation in South Africa. He spent over 20 years fighting apartheid and was a key member of the Black Consciousness Movement. We chat about his ideological journey from Marxism to free market ideas, inspired by observations of the economic development of socialist and communist countries in Europe and the writings of Walter Williams, Friedrich Hayek, Milton Friedman, and Thomas Sowell. Even after the battle against apartheid was won, he then continued even to this day a fight to ensure personal freedom and prosperity for South Africans.

Patri is the founder of Pronomos.vc - the worlds first charter city investment fund - and the Seasteading Institute. He's a libertarian and theorist of political economy. We chat about investing in and starting new countries: how he got the idea, what will it solve, why new governance ideas need to be tested IRL and not just debated, some different arguments ppl come up with why it won't work and why they are wrong, biggest challenges in this space and what's the tipping point before more new charter cities and countries start being created.Twitter: @patrissimo  

Today's guest is Tridib Nandy. He's the Founder of Sovereign Union, who's mission it is to provide indigenous peoples with blockchain solutions that help localise governance of their societies. We speak about the importance of property registration systems, sovereign digital currencies, and the disconnect between indigenous peoples culture, and the government they live under. Website: https://sunion.ioYouTube: Sovereign Union Intro video

In this special episode of Build your own Country, I got to speak with two amazing individuals who are actually building their own country/society from scratch. Vít Jedlička is an activist, has been arrested at least twice while serving as President of Liberland - a previously unclaimed no-mans-land on the Danube River between Serbia and Croatia. Vit tried his hand at politics in his home country the Czech Republic, became disillusioned with the politikking, corruption, and lack of vision, and decided to literally Build his own Country. Grant Romundt is the CEO of Ocean Builders, working on revolutionising sea living with affordable 3D printed eco-restorative floating smart-homes. The first community will be built off the coast of Panama. We talk about his journey and what is important when building a new type of community from scratch. Twitter: @Vit_Jedlicka @oceanbuilders @silversen @yourowncountryWebsite: www.sylviabrune.com/byoc

Andrew McMillion is a philosophical peasant and avid student of entropy. In this episode of Build your own Country we discuss what is really wrecking the environment, destruction of biodiversity, over-production, and of course what Andrew's country would do, to tackle some of these pressing issues. Tune in for an interesting chat about the paradigm shift that needs to happen for humankind to start taking this planet and its ecosystems seriously. 

Mark Beer OBE is a futurist lawyer, and chairman of The Metis Institute. We discuss the broken government-run justice system, innovators in the space who are democratising the courts, and what he thinks are better ways of solving conflicts.Twitter: @theoxfordbeer @silversenWebsite: sylviabrune.com/byoc