Podcasts about Airfoil

This is a recap of the top 10 posts on Hacker News on January 28, 2026. This podcast was generated by wondercraft.ai (00:30): Microsoft forced me to switch to LinuxOriginal post: https://news.ycombinator.com/item?id=46795864&utm_source=wondercraft_ai(01:58): Amazon cuts 16k jobsOriginal post: https://news.ycombinator.com/item?id=46796745&utm_source=wondercraft_ai(03:26): Please don't say mean things about the AI I just invested a billion dollars inOriginal post: https://news.ycombinator.com/item?id=46803356&utm_source=wondercraft_ai(04:54): Somebody used spoofed ADSB signals to raster the meme of JD VanceOriginal post: https://news.ycombinator.com/item?id=46802067&utm_source=wondercraft_ai(06:22): ICE and Palantir: US agents using health data to hunt illegal immigrantsOriginal post: https://news.ycombinator.com/item?id=46794365&utm_source=wondercraft_ai(07:50): Airfoil (2024)Original post: https://news.ycombinator.com/item?id=46795908&utm_source=wondercraft_ai(09:18): ASML staffing changes could result in a net reduction of around 1700 positionsOriginal post: https://news.ycombinator.com/item?id=46792370&utm_source=wondercraft_ai(10:46): Show HN: The HN ArcadeOriginal post: https://news.ycombinator.com/item?id=46793693&utm_source=wondercraft_ai(12:14): UK Government's ‘AI Skills Hub' was delivered by PwC for £4.1MOriginal post: https://news.ycombinator.com/item?id=46803119&utm_source=wondercraft_ai(13:42): Super Monkey Ball ported to a websiteOriginal post: https://news.ycombinator.com/item?id=46789961&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Episode: 1480 Streamlining and the American public.  Today, we talk about streamlining.

We are calling for the world's best AI Engineer talks for AI Architects, /r/localLlama, Model Context Protocol (MCP), GraphRAG, AI in Action, Evals, Agent Reliability, Reasoning and RL, Retrieval/Search/RecSys , Security, Infrastructure, Generative Media, AI Design & Novel AI UX, AI Product Management, Autonomy, Robotics, and Embodied Agents, Computer-Using Agents (CUA), SWE Agents, Vibe Coding, Voice, Sales/Support Agents at AIEWF 2025! Fill out the 2025 State of AI Eng survey for $250 in Amazon cards and see you from Jun 3-5 in SF!Coreweave's now-successful IPO has led to a lot of questions about the GPU Neocloud market, which Dylan Patel has written extensively about on SemiAnalysis. Understanding markets requires an interesting mix of technical and financial expertise, so this will be a different kind of episode than our usual LS domain.When we first published $2 H100s: How the GPU Rental Bubble Burst, we got 2 kinds of reactions on Hacker News:* “Ah, now the AI bubble is imploding!”* “Duh, this is how it works in every GPU cycle, are you new here?”We don't think either reaction is quite right. Specifically, it is not normal for the prices of one of the world's most important resources right now to swing from $1 to $8 per hour based on drastically inelastic demand AND supply curves - from 3 year lock-in contracts to stupendously competitive over-ordering dynamics for NVIDIA allocations — especially with increasing baseline compute needed for even the simplest academic ML research and for new AI startups getting off the ground.We're fortunate today to have Evan Conrad, CEO of SFCompute, one of the most exciting GPU marketplace startups, talk us through his theory of the economics of GPU markets, and why he thinks CoreWeave and Modal are well positioned, but Digital Ocean and Together are not.However, more broadly, the entire point of SFC is creating liquidity between GPU owners and consumers and making it broadly tradable, even programmable:As we explore, these are the primitives that you can then use to create your own, high quality, custom GPU availability for your time and money budget, similar to how Amazon Spot Instances automated the selective buying of unused compute.The ultimate end state of where all this is going is GPU that trade like other perishable, staple commodities of the world - oil, soybeans, milk. Because the contracts and markets are so well established, the price swings also are not nearly as drastic, and people can also start hedging and managing the risk of one of the biggest costs of their business, just like we have risk-managed commodities risks of all other sorts for centuries. As a former derivatives trader, you can bet that swyx doubleclicked on that…Show Notes* SF Compute* Evan Conrad* Ethan Anderson* John Phamous* The Curve talk* CoreWeave* Andromeda ClusterFull Video PodLike and subscribe!Timestamps* [00:00:05] Introductions* [00:00:12] Introduction of guest Evan Conrad from SF Compute* [00:00:12] CoreWeave Business Model Discussion* [00:05:37] CoreWeave as a Real Estate Business* [00:08:59] Interest Rate Risk and GPU Market Strategy Framework* [00:16:33] Why Together and DigitalOcean will lose money on their clusters* [00:20:37] SF Compute's AI Lab Origins* [00:25:49] Utilization Rates and Benefits of SF Compute Market Model* [00:30:00] H100 GPU Glut, Supply Chain Issues, and Future Demand Forecast* [00:34:00] P2P GPU networks* [00:36:50] Customer stories* [00:38:23] VC-Provided GPU Clusters and Credit Risk Arbitrage* [00:41:58] Market Pricing Dynamics and Preemptible GPU Pricing Model* [00:48:00] Future Plans for Financialization?* [00:52:59] Cluster auditing and quality control* [00:58:00] Futures Contracts for GPUs* [01:01:20] Branding and Aesthetic Choices Behind SF Compute* [01:06:30] Lessons from Previous Startups* [01:09:07] Hiring at SF ComputeTranscriptAlessio [00:00:05]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel, and I'm joined by my co-host Swyx, founder of Smol AI.Swyx [00:00:12]: Hey, and today we're so excited to be finally in the studio with Evan Conrad from SF Compute. Welcome. I've been fortunate enough to be your friend before you were famous, and also we've hung out at various social things. So it's really cool to see that SF Compute is coming into its own thing, and it's a significant presence, at least in the San Francisco community, which of course, it's in the name, so you couldn't help but be. Evan: Indeed, indeed. I think we have a long way to go, but yeah, thanks. Swyx: Of course, yeah. One way I was thinking about kicking on this conversation is we will likely release this right after CoreWeave IPO. And I was watching, I was looking, doing some research on you. You did a talk at The Curve. I think I may have been viewer number 70. It was a great talk. More people should go see it, Evan Conrad at The Curve. But we have like three orders of magnitude more people. And I just wanted to, to highlight, like, what is your analysis of what CoreWeave did that went so right for them? Evan: Sell locked-in long-term contracts and don't really do much short-term at all. I think like a lot of people had this assumption that GPUs would work a lot like CPUs and the like standard business model of any sort of CPU cloud is you buy commodity hardware, then you lay on services that are mostly software, and that gives you high margins and pretty much all your value comes from those services. Not really the underlying. Compute in any capacity and because it's commodity hardware and it's not actually that expensive, most of that can be sort of on-demand compute. And while you do want locked-in contracts for folks, it's mostly just a sort of de-risk situation. It helps you plan revenue because you don't know if people are going to scale up or down. But fundamentally, people are like buying hourly and that's how your business is structured and you make 50 percent margins or higher. This like doesn't really work in GPUs. And the reason why it doesn't work is because you end up with like super price sensitive customers. And that isn't because necessarily it's just way more expensive, though that's totally the case. So in a CPU cloud, you might have like, you know, let's say if you had a million dollars of hardware in GPUs, you have a billion dollars of hardware. And so your customers are buying at much higher volumes than you otherwise expect. And it's also smaller customers who are buying at higher amounts of volume. So relative to what they're spending in general. But in GPUs in particular, your customer cares about the scaling law. So if you take like Gusto, for example, or Rippling or an HR service like this, when they're buying from an AWS or a GCP, they're buying CPUs and they're running web servers, those web servers, they kind of buy up to the capacity that they need, they buy enough, like CPUs, and then they don't buy any more, like, they don't buy any more at all. Yeah, you have a chart that goes like this and then flat. Correct. And it's like a complete flat. It's not even like an incremental tiny amount. It's not like you could just like turn on some more nodes. Yeah. And then suddenly, you know, they would make an incremental amount of money more, like Gusto isn't going to make like, you know, 5% more money, they're gonna make zero, like literally zero money from every incremental GPU or CPU after a certain point. This is not the case for anyone who is training models. And it's not the case for anyone who's doing test time inference or like inference that has scales at test time. Because like you, your scaling laws mean that you may have some diminishing returns, but there's always returns. Adding GPUs always means your model does actually get. And that actually does translate into revenue for you. And then for test time inference, you actually can just like run the inference longer and get a better performance. Or maybe you can run more customers faster and then charge for that. It actually does translate into revenue. Every incremental GPU translates to revenue. And what that means from the customer's perspective is you've got like a flat budget and you're trying to max the amount of GPUs you have for that budget. And it's very distinctly different than like where Augusto or Rippling might think, where they think, oh, we need this amount of CPUs. How do we, you know, reduce that? How do we reduce our amount of money that we're spending on this to get the same amount of CPUs? What that translates to is customers who are spending in really high volume, but also customers who are super price sensitive, who don't give a s**t. Can I swear on this? Can I swear? Yeah. Who don't give a s**t at all about your software. Because a 10% difference in a billion dollars of hardware is like $100 million of value for you. So if you have a 10% margin increase because you have great software, on your billion, the customers are that price sensitive. They will immediately switch off if they can. Because why wouldn't you? You would just take that $100 million. You'd spend $50 million on hiring a software engineering team to replicate anything that you possibly did. So that means that the best way to make money in GPUs was to do basically exactly what CoreWeave did, which is go out and sign only long-term contracts, pretty much ignore the bottom end of the market completely, and then maximize your long-term contracts. With customers who don't have credit risk, who won't sue you, or are unlikely to sue you for frivolous reasons. And then because they don't have credit risk and they won't sue you for frivolous reasons, you can go back to your lender and you can say, look, this is a really low risk situation for us to do. You should give me prime, prime interest rate. You should give me the lowest cost of capital you possibly can. And when you do that, you just make tons of money. The problem that I think lots of people are going to talk about with CoreWeave is it doesn't really look like a cloud platform. It doesn't really look like a cloud provider financially. It also doesn't really look like a software company financially.Swyx [00:05:37]: It's a bank.Evan [00:05:38]: It's a bank. It's a real estate company. And it's very hard to not be that. The problem of that that people have tricked themselves into is thinking that CoreWeave is a bad business. I don't think CoreWeave is explicitly a bad business. There's a bunch of people, there's kind of like two versions of the CoreWeave take at the moment. There's, oh my God, CoreWeave, amazing. CoreWeave is this great new cloud provider competitive with the hyperscalers. And to some extent, this is true from a structural perspective. Like, they are indeed a real sort of thing against the cloud providers in this particular category. And the other take is, oh my gosh, CoreWeave is this horrible business and so on and blah, blah, blah. And I think it's just like a set of perception or perspective. If you think CoreWeave's business is supposed to look like the traditional cloud providers, you're going to be really upset to learn that GPUs don't look like that at all. And in fact, for the hyperscalers, it doesn't look like this either. My intuition is that the hyperscalers are probably going to lose a lot of money, and they know they're going to lose a lot of money on reselling NVIDIA GPUs, at least. Hyperscalers, but I want to, Microsoft, AWS, Google. Correct, yeah. The Microsoft, AWS, and Google. Does Google resell? I mean, Google has TPUs. Google has TPUs, but I think you can also get H100s and so on. But there are like two ways they can make money. One is by selling to small customers who aren't actually buying in any serious volume. They're testing around, they're playing around. And if they get big, they're immediately going to do one of two things. They're going to ask you for a discount. Because they're not going to pay your crazy sort of margin that you have locked into your business. Because for CPUs, you need that. They're going to pay your massive per hour price. And so they want you to sign a long-term contract. And so that's your other way that you can make money, is you can basically do exactly what CoreWeave does, which is have them pay as much as possible upfront and lock in the contract for a long time. Or you can have small customers. But the problem is that for a hyperscaler, the GPUs to... To sell on the low margins relative to what your other business, your CPUs are, is a worse business than what you are currently doing. Because you could have spent the same money on those GPUs. And you could have trained model and you could have made a model on top of it and then turn that into a product and had high margins from your product. Or you could have taken that same money and you could have competed with NVIDIA. And you could have cut into their margin instead. But just simply reselling NVIDIA GPUs doesn't work like your CPU business. Where you're able to capture high margins from big customers and so on. And then they never leave you because your customers aren't actually price sensitive. And so they won't switch off if your prices are a little higher. You actually had a really nice chart, again, on that talk of this two by two. Sure. Of like where you want to be. And you also had some hot takes on who's making money and who isn't. Swyx: So CoreUv locked up long-term contracts. Get that. Yes. Maybe share your mental framework. Just verbally describe it because we're trying to help the audio listeners as well. Sure. People can look up the chart if they want to. Evan: Sure. Okay. So this is a graph of interest rates. And on the y-axis, it's a probability you're able to sell your GPUs from zero to one. And on the x-axis, it's how much they'll depreciate in cost from zero to one. And then you had ISO cost curves or ISO interest rate curves. Yeah. So they kind of shape in a sort of concave fashion. Yeah. The lowest interest rates enable the most aggressive. form of this cost curve. And the higher interest rates go, the more you have to push out to the top right. Yeah. And then you had some analysis of where every player sits in this, including CoreUv, but also Together and Modal and all these other guys. I thought that was super insightful. So I just wanted to elaborate. Basically, it's like a graph of risk and the genres of places where you can be and what the risk is associated with that. The optimal thing for you to do, if you can, is to lock in long-term contracts that are paid all up front or in with a situation in which you trust the other party to pay you over time. So if you're, you know, selling to Microsoft or something or OpenAI. Which are together 77% of the revenue of CoreUv. Yeah. So if you're doing that, that's a great business to be in because your interest rate that you can pitch for is really low because no one thinks Microsoft is going to default. And like maybe OpenAI will default, but the backing by Microsoft kind of doesn't. And I think there's enough, like, generally, it looks like OpenAI is winning that you can make it's just a much better case than if you're selling to the pre-seed startup that just raised $30 million or something pre-revenue. It's like way easier to make the case that the OpenAI is not going to default than the pre-seed startup. And so the optimal place to be is selling to the maximally low risk customer for as long as possible. And then you never have to worry about depreciation and you make lots of money. The less. Good. Good place to be is you could sell long-term contracts to people who might default on you. And then if you're not bringing it to the present, so you're not like saying, hey, you have to pay us all up front, then you're in this like more risky territory. So is it top left of the chart? If I have the chart right, maybe. Large contracts paid over time. Yeah. Large contracts paid over time is like top left. So it's more risky, but you could still probably get away with it. And then the other opportunity is that you could sell short-term contracts for really high prices. And so lots of people tried that too, because this is actually closer to the original business model that people thought would work in cloud providers for CPUs. It works for CPUs, but it doesn't really work for GPUs. And I don't think people were trying this because they were thinking about the risk associated with it. I think a lot of people are just come from a software background, have not really thought about like cogs or margins or inventory risk or things that you have to worry about in the physical world. And I think they were just like copy pasting the same business model onto CPUs. And also, I remember fundraising like a few years ago. And I know based on. Like what we knew other people were saying who were in a very similar business to us versus what we were saying. And we know that our pitch was way worse at the time, because in the beginning of SF Compute, we looked very similar to pretty much every other GPU cloud, not on purpose, but sort of accidentally. And I know that the correct pitch to give to an investor was we will look like a traditional CPU cloud with high margins and we'll sell to everyone. And that is a bad business model because your customers are price sensitive. And so what happens is if you. Sell at high prices, which is the price that you would need to sell it in order to de-risk your loss on the depreciation curve, and specifically what I mean by that is like, let's say you're selling it like $5 an hour and you're paying $1.50 an hour for the GPU under the hood. It's a little bit different than that, but you know, nice numbers, $5 an hour, $1.50 an hour. Great. Excellent. Well, you're charging a really high price per GPU hour because over time the price will go down and you'll get competed out. And what you need is to make sure that you never go under, or if you do go under your underlying cost. You've made so much money in the first part of it that the later end of it, like doesn't matter because from the whole structure of the deal, you've made money. The problem is that just, you think that you're going to be able to retain your customers with software. And actually what happens is your customers are super price sensitive and push you down and push you down and push you down and push you down, um, that they don't care about your software at all. And then the other problem that you have is you have, um, really big players like the hyperscalers who are looking to win the market and they have way more money than you, and they can push down on margin. Much better than you can. And so if they have to, and they don't, they don't necessarily all the time, um, I think they actually keep pride of higher margin, but if they needed to, they could totally just like wreck your margin at any point, um, and push you down, which meant that that quadrant over there where you're charging a high price, um, and just to make up for the risk completely got destroyed, like did not work at all for many places because of the price sensitivity, because people could just shove you down instead that pushed everybody up to the top right-hand corner of that, which is selling short-term. Contracts for low prices paid over time, which is the worst place to be in, um, the worst financial place to be in because it has the highest interest rate, um, which means that your, um, your costs go up at the same time, your, uh, your incoming cash goes down and squeezes your margins and squeezes your margins. The nice thing for like a core weave is that most of their business is over on the, on the other sides of those quadrants that the ones that survive. The only remaining question I have with core weave, and I promise I get to ask if I can compute, and I promise this is relevant to SOF Compute in general, because the framework is important, right? Sure. To understand the company. So why didn't NVIDIA or Microsoft, both of which have more money than core weave, do core weave, right? Why didn't they do core weave? Why have this middleman when either NVIDIA or Microsoft have more money than God, and they could have done an internal core weave, which is effectively like a self-funding vehicle, like a financial instrument. Why does there have to be a third party? Your question is like... Why didn't Microsoft, or why didn't NVIDIA just do core weave? Why didn't they just set up their own cloud provider? I think, and I don't know, and so correct me if I'm wrong, and lots of people will have different opinions here, or I mean, not opinions, they'll have actual facts that differ from my facts. Those aren't opinions. Those are actually indeed differences of reality, is that NVIDIA doesn't want to compete with their customers. They make a large amount of money by selling to existing clouds. If they launched their own core weave, then it would be a lot more money. It'd make it much harder for them to sell to the hyperscalers, and so they have a complex relationship with there. So not great for them. Second is that, at least for a while, I think they were dealing with antitrust concerns or fears that if they're going through, if they own too much layers of the stack, I could imagine that could be a problem for them. I don't know if that's actually true, but that's where my mind would go, I guess. Mostly, I think it's the first one. It's that they would be competing directly with their primary customers. Then Microsoft could have done it, right? That's the other question. Yeah, so Microsoft didn't do it. And my guess is that... NVIDIA doesn't want Microsoft to do it, and so they would limit the capacity because from NVIDIA's perspective, both they don't want to necessarily launch their own cloud provider because it's competing with their customers, but also they don't want only one customer or only a few customers. It's really bad for NVIDIA if you have customer concentration, and Microsoft and Google and Amazon, like Oracle, to buy up your entire supply, and then you have four or five customers or so who pretty much get to set prices. Monopsony. Yeah, monopsony. And so the optimal thing for you is a diverse set of customers who all are willing to pay at whatever price, because if you don't, somebody else will. And so it's really optimal for NVIDIA to have lots of other customers who are all competing against each other. Great. Just wanted to establish that. It's unintuitive for people who have never thought about it, and you think about it all day long. Yeah. Swyx: The last thing I'll call out from the talk, which is kind of cool, and then I promise we'll get to SF Compute, is why will DigitalOcean and Together lose money on their clusters? Why will DigitalOcean and Together lose money on their clusters?Evan [00:16:33]: I'm going to start by clarifying that all of these businesses are excellent and fantastic. That Together and DigitalOcean and Lambda, I think, are wonderful businesses who build excellent products. But my general intuition is that if you try to couple the software and the hardware together, you're going to lose money. That if you go out and you buy a long-term contract from someone and then you layer on services, or you buy the hardware yourself and you spin it up and you get a bunch of debt, you're going to run into the same problem that everybody else did, the same problem we did, same problem the hyperscalers did. And that's exactly what the hyperscalers are doing, which is you cannot add software and make high margins like a cloud provider can. You can pitch that into investors and it will totally make sense, and it's like the correct play in CPUs, but there isn't software you could make to make this occur. If you're spending a billion dollars on hardware, you need to make a billion dollars of software. There isn't a billion dollars of software that you can realistically make, and if you do, you're going to look like SAP. And that's not a knock on SAP. SAP makes a f**k ton of money, right? Right. Right. Right. Right. There aren't that many pieces of software that you could make, that you can realistically sell, like a billion dollars of software, and you're probably not going to do it to price-sensitive customers who are spending their entire budget already on compute. They don't have any more money to give you. It's a very hard proposition to do. And so many parties have been trying to do this, like, buy their own compute, because that's what a traditional cloud does. It doesn't really work for them. You know that meme where there's, like, the Grim Reaper? And he's, like, knocking on the door, and then he keeps knocking on the next door? We have just seen door after door after door of the Grim Reeker comes by, and the economic realities of the compute market come knocking. And so the thing we encourage folks to do is if you are thinking about buying a big GPU cluster and you are going to layer on software on top, don't. There are so many dead bodies in the wake there. We would recommend not doing that. And we, as SF Compute, our entire business is structured to help you not do that. It's helped disintegrate these. The GPU clouds are fantastic real estate businesses. If you treat them like real estate businesses, you will make a lot of money. The cloud services you can make on that, all the software you want to make on that, you can do that fantastically. If you don't own the underlying hardware, if you mix these businesses together, you get shot in the head. But if you combine, if you split them, and that's what the market does, it helps you split them, it allows you to buy, like, layer on services, but just buy from the market, you can make lots of money. So companies like Modal, who don't own the underlying compute, like they don't own it, lots of money, fantastic product. And then companies like Corbeave, who are functionally like really, really good real estate businesses, lots of money, fantastic product. But if you combine them, you die. That's the economic reality of compute. I think it also splits into trading versus inference, which are different kinds of workloads. Yeah. And then, yeah, one comment about the price sensitivity thing before we leave this. This topic, I want to credit Martin Casado for coining or naming this thing, which is like, you know, you said, you said this thing about like, you don't have room for a 10% margin on GPUs for software. Yep. And Martin actually played it out further. It's his first one I ever saw doing this at large enough runs. So let's say GPT-4 and O1 both had a total trading cost of like a $500 billion is the rough estimate. When you get the $5 billion runs, when you get the $50 billion runs, it is actually makes sense to build your own. You're going to have to get into chips, like for OpenEI to get into chip design, which is so funny. I would make an ASIC for this run. Yeah, maybe. I think a caveat of that that is not super well thought about is that only works if you're really confident. It only works if you really know which chip you're going to do. If you don't, then it's a little harder. So it makes in my head, it makes more sense for inference where you've already established it. But for training there's so much like experimentation. Any generality, yeah. Yeah. The generality is much more useful. Yeah. In some sense, you know, Google's like six generations into the CPUs. Yeah. Yeah. Okay, cool. Maybe we should go into SF Compute now. Sure. Yeah.Alessio [00:20:37]: Yeah. So you kind of talked about the different providers. Why did you decide to go with this approach and maybe talk a bit about how the market dynamics have evolved since you started a company?Evan [00:20:47]: So originally we were not doing this at all. We were definitely like forced into this to some extent. And SF Compute started because we wanted to go train models for music and audio in general. We were going to do a sort of generic audio model at some points, and then we were going to do a music model at some points. It was an early company. We didn't really spec down on a particular thing. But yeah, we were going to do a music model and audio model. First thing that you do when you start any AI lab is you go out and you buy a big cluster. The thing we had seen everybody else do was they went out and they raised a really big round and then they would get stuck. Because if you raise the amount of money that you need to train a model initially, like, you know, the $50 million pre-seed, pre-revenue, your valuation is so high or you get diluted so much that you can't raise the next round. And that's a very big ask to make. And also, I don't know, I felt like we just felt like we couldn't do it. We probably could have in retrospect, but I think one, we didn't really feel like we could do it. Two, it felt like if we did, we would have been stuck later on. We didn't want to raise the big round. And so instead, we thought, surely by now, we would be able to just go out. To any provider and buy like a traditional CPU cloud would sell offer you and just buy like on demand or buy like a month or so on. And this worked for like small incremental things. And I think this is where we were basing it off. We just like assumed we could go to like Lambda or something and like buy thousands of at the time A100s. And this just like was not at all the case. So we started doing all the sales calls with people and we said, OK, well, can we just get like month to month? Can we get like one month of compute or so on? Everyone told us at the time, no. You need to have a year long contract or longer or you're out of luck. Sorry. And at the time, we were just like pissed off. Like, why won't nobody sell us a month at a time? Nowadays, we totally understand why, because it's the same economic reason. Because if you if they had sold us the month to month or so on and we canceled or so on, they would have massive risk on that. And so the optimal thing to do was to only to just completely abandon the section of the market. We didn't like that. So our plan was we were going to buy a year long contract anyway. We would use a month. And then we would. At least the other 11 months. And we were locked in for a year, but we only had to pay on every individual month. And so we did this. But then immediately we said, oh, s**t, now we have a cloud provider, not a like training models company, not an AI lab, because every 30 days we owed about five hundred thousand dollars or so and we had about five hundred thousand dollars in the bank. So that meant that every single month, if we did not sell out our cluster, we would just go bankrupt. So that's what we did for the first year of the company. And when you're in that position. You try to think how in the world you get out of that position, what that transition to is, OK, well, we tend to be pretty good at like selling this cluster every month because we haven't died yet. And so what we should do is we should go basically be like this broker for other people and we will be more like a GPU real estate or like a GPU realtor. And so we started doing that for a while where we would go to other people who had who was trying to sell like a year long contract with somebody and we'd go to another person who like maybe this person wanted six months and somebody else on six months or something and we'd like combine all these people. Together to make the deal happen and we'd organize these like one off bespoke deals that looked like basically it ended up with us taking a bunch of customers, us signing with a vendor, taking some cut and then us operating the cluster for people typically with bare metal. And so we were doing this, but this was definitely like a oh, s**t, oh, s**t, oh, s**t. How do we get out of our current situation and less of a like a strategic plan of any sort? But while we were doing this, since like the beginning of the company, we had been thinking about how to buy GPU clusters, how to sell them effectively, because we'd seen every part of it. And what we ended up with was like a book of everybody who's trying to buy and everyone is trying to sell because we were these like GPU brokers. And so that turned into what is today SF Compute, which is a compute market, which we think we are the functionally the most liquid GPU market of any capacity. Honestly, I think we're the only thing that actually is like a real market that there's like bids and asks and there's like a like a trading engine that combines everything. And so. I think we're the only place where you can do things that a market should be able to do. Like you can go on SF Compute today and you get thousands of H100s for an hour if you want. And that's because there is a price for thousands of GPUs for an hour. That is like not a thing you can reasonably do on kind of any other cloud provider because nobody should realistically sell you thousands of GPUs for an hour. They should sell it to you for a year or so on. But one of the nice things about a market is that you can buy the year on SF Compute. But then if you need to sell. Back, you can sell back as well. And that opens up all these little pockets of liquidity where somebody who's just trying to buy for a little bit of time, some burst capacity. So people don't normally buy for an hour. That's not like actually a realistic thing, but it's like the range somebody who wants, who is like us, who needed to buy for a month can actually buy for a month. They can like place the order and there is actually a price for that. And it typically comes from somebody else who's selling back. Somebody who bought a longer term contract and is like they bought for some period of time, their code doesn't work, and now they need to like sell off a little bit.Alessio [00:25:49]: What are the utilization rates at which a market? What are the utilization rates at which a market? Like this works, what do you see the usual GPU utilization rate and like at what point does the market get saturated?Evan [00:26:00]: Assuming there are not like hardware problems or software problems, the utilization rate is like near 100 percent because the price dips until the utilization is 100 percent. So the price actually has to dip quite a lot in order for the utilization not to be. That's not always the case because you just have logistical problems like you get a cluster and parts of the InfiniBand fabric are broken. And there's like some issue with some switch somewhere and so you have to take some portion of the cluster offline or, you know, stuff like this, like there's just underlying physical realities of the clusters, but nominally we have better utilization than basically anybody because, but that's on utilization of the cluster, like that doesn't necessarily translate into, I mean, I actually do think we have much better overall money made for our underlying vendors than kind of anybody else. We work with the other GPU clouds and the basic pitch to the other GPU clouds is one. So we can sell your broker so we can we can find you the long term contracts that are at the prices that you want, but meanwhile, your cluster is idle and for that we can increase your utilization and get you more money because we can sell that idle cluster for you and then the moment we find the longer, the bigger customer and they come on, you can kick off those people and then go to the other ones. You get kind of the mix of like sell your cluster at whatever price you can get on the market and then sell your cluster at the big price that you want to do for long term contract, which is your ideal business model. And then the benefit of the whole thing being on the market. Is you can pitch your customer that they can cancel their long term contract, which is not a thing that you can reasonably do if you are just the GPU cloud, if you're just the GPU cloud, you can never cancel your contract, because that introduces so much risk that you would otherwise, like not get your cheap cost of capital or whatever. But if you're selling it through the market, or you're selling it with us, then you can say, hey, look, you can cancel for a fee. And that fee is the difference between the price of the market and then the price that they paid at, which means that they canceled and you have the ability to offer that flexibility. But you don't. You don't have to take the risk of it. The money's already there and like you got paid, but it's just being sold to somebody else. One of our top pieces from last year was talking about the H100 glut from all the long term contracts that were not being fully utilized and being put under the market. You have on here dollar a dollar per hour contracts as well as it goes up to two. Actually, I think you were involved. You were obliquely quoted in that article. I think you remember. I remember because this was hidden. Well, we hid your name, but then you were like, yeah, it's us. Yeah. Could you talk about the supply and demand of H100s? Was that just a normal cycle? Was that like a super cycle because of all the VC funding that went in in 2003? What was that like? GPU prices have come down. Yeah, GPU prices have come down. And there's some part that has normal depreciation cycle. Some part of that is just there were a lot of startups that bought GPUs and never used them. And now they're lending it out and therefore you exist. There's a lot of like various theories as to why. This happened. I dislike all of them because they're all kind of like they're often said with really high confidence. And I think just the market's much more complicated than that. Of course. And so everything I'm going to say is like very hedged. But there was a series of like places where a bunch of the orders were placed and people were pitching to their customers and their investors and just the broader market that they would arrive on time. And that is not how the world works. And because there was such a really quick build out of things, you would end up with bottlenecks in the supply chain somewhere that has nothing to do with necessarily the chip. It's like the InfiniBand cables or the NICs or like whatever. Or you need a bunch of like generators or you don't have data center space or like there's always some bottleneck somewhere else. And so a lot of the clusters didn't come online within the period of time. But then all the bottlenecks got sorted out and then they all came online all at the same time. So I think you saw a short. There was a shortage because supply chain hard. And then you saw a increase or like a glut because supply chain eventually figure itself out. And specifically people overordered in order to get the allocation that they wanted. Then they got the allocations and then they went under. Yeah, whatever. Right. There was just a lot of shenanigans. A caveat of this is every time you see somebody like overordered, there is this assumption that the problem was like the demand went down. I don't think that's the case at all. And so I want to clarify that. It definitely seems like a shortage. Like there's more demand for GPUs than there ever was. It's just that there was also more supply. So at the moment, I think there is still functionally a glut. But the difference that I think is happening is mostly the test time inference stuff that you just need way more chips for that than you did before. And so whenever you make a statement about the current market, people sort of take your words and then they assume that you're making a statement about the future market. And so if you say there's a glut now, people will continue to think there's a glut. But I think what is happening at the moment. My general prediction is that like by the winter, we will be back towards shortage. But then also, this very much depends on the rollout of future chips. And that comes with its own. I think I'm trying to give you like a good here's Evan's forecast. Okay. But I don't know if my forecast is right. You don't have to. Nobody is going to hold you to it. But like I think people want to know what's true and what's not. And there's a lot of vague speculations from people who are not that close to the market actually. And you are. I think I'm a closer. Close to the market, but also a vague speculator. Like I think there are a lot of really highly confident speculators and I am indeed a vague speculator. I think I have more information than a lot of other people. And this makes me more vague of a spectator because I feel less certain or less confident than I think a lot of other people do. The thing I do feel reasonably confident about saying is that the test time inference is probably going to quite significantly expand the amount of compute that was used for inference. So a caveat. This is like pretty much all the inference demand is in a few companies. A good example is like lots of bio and pharma was using H100s training sort of the bio models of sorts. And they would come along and they would buy, you know, thousands of H100s for training and then just like not a lot of stuff for inference. Not in any, not relative to like an opening iron anthropic or something because they like don't have a consumer product. Their inference event, if they can do it right. There's really like only one inference event that matters. And obviously I think they're going to run into it. And Batch and they're not going to literally just run one inference event. But like the one that produces the drug is the important one. Right. And I'm dumb and I don't know anything about biology, so I could be completely wrong here. But my understanding is that's kind of the gist. I can check that for you. You can check that for me. Check that for me. But my understanding is like the one that produces the sequence that is the drug that, you know, cures cancer or whatever. That's the important deal. But like a lot of models look like this where they're sort of more enterprising use cases or they're so prior to something that looks like test time inference. You got lots and lots of demand for training and then pretty much entirely fell off for inference. And I think like we looked at like Open Router, for example, the entirety of Open Router that was not anthropic or like Gemini or OpenAI or something. It was like 10 H100 nodes or something like that. It's just like not that much. It's like not that many GPUs actually to service that entire demand. But that's like a really sizable portion of the sort of open source market. But the actual amount of compute needed for it was not that much. But if you imagine like what an OpenAI needs for like GPT-4, it's like tremendously big. But that's because it's a consumer product that has almost all the inference demand. Yeah, that's a message we've had. Roughly open source AI compared to closed AI is like 5%. Yeah, it's like super small. Super small. It's super small. Super small. But test time inference changes that quite significantly. So I will... I will expect that to increase our overall demand. But my question on whether or not that actually affects your compute price is entirely based on how quickly do we roll out the next chips. The way that you burst is different for test time.Alessio [00:34:01]: Any thoughts on the third part of the market, which is the more peer-to-peer distributed, some are like crypto-enabled, like Hyperbolic, Prime Intellect, and all of that. Where do those fit? Like, do you see a lot of people will want to participate in a peer-to-peer market? Or just because of the capital requirements at the end of the day, it doesn't really matter?Evan [00:34:20]: I'm like wildly skeptical of these, to be frankly. The dream is like steady at home, right? I got this $15.90. Nobody has $15.90. $14.90 sitting at home. I can rent it out. Yeah. Like, I just don't really think this is going to ever be more efficient than a fully interconnected cluster with InfiniBand or, you know, whatever the sort of next spec might be. Like, I could be completely wrong. But speaking of... I mean, like, SpeedoLite is really hard to beat. And regardless of whatever you're using, you just like can't get around that physical limitation. And so you could like imagine a decentralized market that still has a lot of places where there's like co-location. But then you would get something that looks like SF Compute. And so that's what we do. That's why we take our general take is like on SF Compute, you're not buying from like random people. You're buying from the other GPU clouds, functionally. You're buying from data centers that are the same genre of people that you would work with already. And you can specify, oh, I want all these nodes to be co-located. And I don't think you're really going to get around that. And I think I buy crypto for the purposes of like transferring money. Like the financial system is like quite painful and so on. I can understand the uses of it to sort of incentivize an initial market or try to get around the cold start problem. We've been able to get around the cold start problem just fine. So it didn't actually need that at all. What I do think is totally possible is you could launch a token and then you could like subsidize the crypto. You could compute prices for a bit, but like maybe that will help you. I think that's what Nuus is doing. Yeah, I think there's lots of people who are trying to do things like this, but at some point that runs out. So I would, I think generally agree. I think the only thread in that model is very fine grained mixture of experts that can be like algorithms can shift to adapt to hardware realities. And the hardware reality is like, okay, it's annoying to do large co-located clusters. Then we'll just redesign attention or whatever in our architecture to distribute it more. There was a little bit buzz of block attention last year that Strong Compute made a big push on. But I think like, you know, in a world where we have 200 experts in MOE model, it starts to be a little bit better. Like, I don't disagree with this. I can imagine the world in which you have like, in which you've redesigned it to be more parallelizable, like across space.Evan [00:36:43]: But assuming without that, your hardware limitation is your speed of light limitation. And that's a very hard one to get around.Alessio [00:36:50]: Any customers or like stories that you want to shout out of like maybe things that wouldn't have been economically viable like others? I know there's some sensitivity on that.Evan [00:37:00]: My favorites are grad students, are folks who are trying to do things that would normally otherwise require the scale of a big lab. And the grad students are like the worst pilots. They're like the worst possible customer for the traditional GPU clouds because they will immediately turn if you sell them a thing because they're going to graduate and they're not going to go anywhere. They're not going to like, that project isn't continuing to spend lots of money. Like sometimes it does, but not if you're like working with the university or you're working with the lab of some sort. But a lot of times it's just like the ability for us to offer like big burst capacity, I think is lovely and wonderful. And it's like one of my favorite things to do because all those folks look like we did. And I have a special place in my heart for that. I have a special place in my heart for young hackers and young grad students and researchers who are trying to do the same genre of thing that we are doing. For the same reason, I have a special place in my heart for like the startups, the people who are just actively trying to compete on the same scale, but can't afford it time-wise, but can afford it spike-wise. Yeah, I liked your example of like, I have a grant of 100K and it's expiring. I got to spend it on that. That's really beautiful. Yeah. Interesting. Has there been interesting work coming out of that? Anything you want to mention? Yeah. So from like a startup perspective, like Standard Intelligence and Find, P-H-I-N-D. We've had them on the pod.Swyx [00:38:23]: Yeah. Yeah.Evan [00:38:23]: That was great. And then from grad students' perspective, we worked a lot with like the Schmidt Futures grantees of various sorts. My fear is if I talk about their research, I will be completely wrong to a sort of almost insulting degree because I am very dumb. But yeah. I think one thing that's maybe also relevant startups and GPUs-wise. Yeah. Is there was a brief moment where it kind of made sense that VCs provided GPU clusters. And obviously you worked at AI Grants, which set up Andromeda, which is supposedly a $100 million cluster. Yeah. I can explain why that's the case or why anybody would think that would be smart. Because I remember before any of that happened, we were asking for it to happen. Yeah. And the general reason is credit risk. Again, it's a bank. Yeah. I have lower risk than you due to credit transformation. I take your risk onto my balance sheet. Correct. Exactly. If you wanted to go for a while, if you wanted to go set up a GPU cluster, you had to be the one that actually bought the hardware and racked it and stacked it, like co-located it somewhere with someone. Functionally, it was like on your balance sheet, which means you had to get a loan. And you cannot get a loan for like $50 million as a startup. Like not really. You can get like venture debt and stuff, but like it's like very, very difficult to get a loan of any serious price for that. But it's like not that difficult to get a loan for $50 million. If you already have a fund or you already have like a million dollars under your assets somewhere or like you personally can like do a personal guarantee for it or something like this. If you have a lot of money, it is way easier for you to get a loan than if you don't have a lot of money. And so the hack of a VC or some capital partner offering equity for compute is always some arbitrage on the credit risk. That's amazing. Yeah. That's a hack. You should do that. I don't think people should do it right now. I think the market has like, I think it made sense at the time and it was helpful and useful for the people who did it at the time. But I think it was a one-time arbitrage because now there are lots of other sources that can do it. And also I think like it made sense when no one else was doing it and you were the only person who was doing it. But now it's like it's an arbitrage that gets competed down. Sure. So it's like super effective. I wouldn't totally recommend it. Like it's great that Andromeda did it. But the marginal increase of somebody else doing it is like not super helpful. I don't think that many people have followed in their footsteps. I think maybe Andreessen did it. Yeah. That's it. I think just because pretty much all the value like flows through Andromeda. What? That cannot be true. How many companies are in the air, Grant? Like 50? My understanding of Andromeda is it works with all the NFTG companies or like several of the NFTG companies. But I might be wrong about that. Again, you know, something something. Nat, don't kill me. I could be completely wrong. But the but you know, I think Andromeda was like an excellent idea to do at the right time in which it occurred. Perfect. His timing is impeccable. Timing. Yeah. Nat and Daniel are like, I mean, there's lots of people who are like... Sears? Yeah. Sears. Like S-E-E-R. Oh, Sears. Like Sears of the Valley. Yeah. They for years and years before any of the like ChatGPT moment or anything, they had fully understood what was going to happen. Like way, way before. Like. AI Grant is like, like five years old, six years old or something like that. Seven years old. When I, when it like first launched or something. Depends where you start. The nonprofit version. Yeah. The nonprofit version was like, like happening for a while, I think. It's going on for quite a bit of time. And then like Nat and Daniel are like the early investors in a lot of the sort of early AI labs of various sorts. They've been doing this for a bit.Alessio [00:41:58]: I was looking at your pricing yesterday. We're kind of talking about it before. And there's this weird thing where one week is more expensive of both one day and one month. Yeah. What are like some of the market pricing dynamics? What are things that like this to somebody that is not in the business? This looks really weird. But I'm curious, like if you have an explanation for it, if that looks normal to you. Yeah.Evan [00:42:18]: So the simple answer is preemptible pricing is cheaper than non-preemptible pricing. And the same economic principle is the reason why that's the case right now. That's not entirely true on SF Compute. SF Compute doesn't really have the concept of preemptible. Instead, what it has is very short reservations. So, you know, you go to a traditional cloud provider and you can say, hey, I want to reserve contract for a year. We will let you do a reserve contract for one hour, which is the part of SFC. But what you can do is you can just buy every single hour continuously. And you're reserving just for that hour. And then the next hour you reserve just for that next hour. And this is obviously like a built in. This is like an automation that you can do. But what you're seeing when you see the cheap price is you're seeing somebody who's buying the next hour, but maybe not necessarily buying an hour after that. So if the price goes up. Up too much. They might not get that next hour. And the underlying part of this of where that's coming from the market is you can imagine like day old milk or like milk that's about to be old. It might drop its price until it's expired because nobody wants to buy the milk that's in the past. Or maybe you can't legally sell it. Compute is the same way. No, you can't sell a block of compute that is not that is in the past. And so what you should do in the market and what people do do is they take. They take a block. A block of compute. And then they drop it and drop it and drop it and drop into a floor price right before it's about to expire. And they keep dropping it until it clears. And so anything that is idle drops until some point. So if you go and use on the website and you set that that chart to like a week from now, what you'll see is much more normal looking sort of curves. But if you say, oh, I want to start right now, that immediate instant, here's the compute that I want right now is the is functionally the preemptible price. It's where most people are getting the best compute or like the best compute prices from. The caveat of that is you can do really fun stuff on SFC if you want. So because it's not actually preemptible, it's it's reserved, but only reserved for an hour, which means that the optimal way to use as of compute is to just buy on the market price, but set a limit price that is much higher. So you can set a limit price for like four dollars and say, oh, if the market ever happens to spike up to four dollars, then don't buy. I don't want to buy that at that price for that price. I don't want to buy that at that price for that price for an hour. But otherwise, just buy at the cheapest price. And if you're comfortable with that of the volatility of it, you're actually going to get like really good prices, like close to a dollar an hour or so on, sometimes down to like 80 cents or whatever. You said four, though. Yeah. So that's the thing. You want to lower the limit. So four is your max price. Four is like where you basically want to like pull the plug and say don't do it because the actual average price is not or like the, you know, the preemptible price doesn't actually look like that. So what you're doing when you're saying four is always, always, always give me this compute. Like continue to buy every hour. Don't preempt me. Don't kick me off. And I want this compute and just buy at the preemptible price, but never kick me off. The only times in which you get kicked off is if there is a big price spike. And, you know, let's say one day out of the year, there's like a four dollar an hour price because of some weird fluke or something. If there are other periods of time, you're actually getting a much lower price than you. It makes sense. Your your average cost that you're actually paying is way better. And your trade off here is you don't literally know what price you're going to get. So it's volatile. But your actual average historically has been like everyone who's done this has gotten wildly better prices. And this is like one of the clever things you can do with the market. If you're willing to make those trade offs, you can get a lot of really good prices. You can also do other things like you can only buy at night, for example. So the price goes down at night. And so you can say, oh, I want to only buy, you know, if the price is lower than 90 cents. And so if you have some long running job, you can make it only run on 90 cents and then you recover back and so on. Yeah. So what you can kind of create as like a spot inst is what other the CPU world has. Yes. But you've created a system where you can kind of manufacture the exact profile that you want. Exactly. That is not just whatever the hyperscalers offer you, which is usually just one thing. Correct. SF Compute is like the power tool. The underlying primitives of like hourly compute is there. Correct. Yeah, it's pretty interesting. I've often asked OpenAI. So like, you know, all these guys. Cloud as well. They do batch APIs. So it's half off of whatever your thing is. Yeah. And the only contract is we'll return in 24 hours. Sure. Right. And I was like, 24 hours is good. But sometimes I want one hour. I want four hours. I want something. And so based off of SF Compute's system, you can actually kind of create that kind of guarantee. Totally. That would be like, you know, not 24, but within eight hours, within four hours, like the work half of a workday. Yes. I can return your results to you. And then I can return it to you. And if your latency requirements are like that low, actually it's fine. Yes. Correct. Yeah. You can carve out that. You can financially engineer that on SFC. Yeah. Yeah. I mean, I think to me that unlocks a lot of agent use cases that I want, which is like, yeah, I worked in a background, but I don't want you to take a day. Yeah. Correct. Take a couple hours or something. Yeah. This touches a lot of my like background because I used to be a derivatives trader. Yeah. And this is a forward market. Yeah. A futures forward market, whatever you call it. Not a future. Very explicitly not a future. Not yet a futures. Yes. But I don't know if you have any other points to talk about. So you recognize that you are a, you know, a marketplace and you've hired, I met Alex Epstein at your launch event and you're like, you're, you're building out the financialization of GPUs. Yeah. So part of that's legal. Mm-hmm. Totally. Part of that is like listing on an exchange. Yep. Maybe you're the exchange. I don't know how that works, but just like, talk to me about that. Like from the legal, the standardization, the like, where is this all headed? You know, is this like a full listed on the Chicago Mercantile Exchange or whatever? What we're trying to do is create an underlying spot market that gives you an index price that you can use. And then with that index price, you can create a cash settled future. And with a cash settled future, you can go back to the data centers and you can say, lock in your price now and de-risk your entire position, which lets you get cheaper cost of capital and so on. And that we think will improve the entire industry because the marginal cost of compute is the risk. It's risk as shown by that graph and basically every part of this conversation. It's risk that causes the price to be all sorts of funky. And we think a future is the correct solution to this. So that's the eventual goal. Right now you have to make the underlying spot market in order to make this occur. And then to make the spot market work, you actually have to solve a lot of technology problems. You really cannot make a spot market work if you don't run the clusters, if you don't have control over them, if you don't know how to audit them, because these are super computers, not soybeans. They have to work. In a way that like, it's just a lot simpler to deliver a soybean than it is to deliver it. I don't know. Talk to the soybean guys. Sure. You know? Yeah. But you have to have a delivery mechanism. Your delivery mechanism, like somebody somewhere has to actually get the compute at some point and it actually has to work. And it is really complicated. And so that is the other part of our business that we go and we build a bare metal infrastructure stack that goes. And then also we do auditing of all the clusters. You sort of de-risk the technical perspective and that allows you to eventually de-risk the financial perspective. And that is kind of the pitch of SF Compute. Yeah. I'll double click on the auditing on the clusters. This is something I've had conversations with Vitae on. He started Rika and I think he had a blog post which kind of shone the light a little bit on how unreliable some clusters are versus others. Correct. Yeah. And sometimes you kind of have to season them and age them a little bit to find the bad cards. You have to burn them in. Yeah. So what do you do to audit them? There's like a burn-in process, a suite of tests, and then active checking and passive checking. Burn-in process is where you typically run LINPACK. LINPACK is this thing that like a bunch of linear algebra equations that you're stress testing the GPUs. This is a proprietary thing that you wrote? No, no, no. LINPACK is like the most common form of burn-in. If you just type in burn-in, typically when people say burn-in, they literally just mean LINPACK. It's like an NVIDIA reference version of this. Again, NVIDIA could run this before they ship, but now the customers have to do it. It's annoying. You're not just checking for the GPU itself. You're checking like the whole component, all the hardware. And it's a lot of work. It's an integration test. It's an integration test. Yeah. So what you're doing when you're running LINPACK or burn-in in general is you're stress testing the GPUs for some period of time, 48 hours, for example, maybe seven days or so on. And you're just trying to kill all the dead GPUs or any components in the system that are broken. And we've had experiences where we ran LINPACK on a cluster and it rounds out, sort of comes offline when you run LINPACK. This is a pretty good sign that maybe there is a problem with this cluster. Yeah. So LINPACK is like the most common sort of standard test. But then beyond that, what you do is we have like a series of performance tests that replicate a much more realistic environment as well that we run just assuming if LINPACK works at all, then you run the next set of tests. And then while the GPUs are in operation, you're also going through and you're doing active tests and passive tests. Passive tests are things that are running in the background while somebody else is running, while like some other workload is running. And active tests are during like idle periods. You're running some sort of check that would otherwise sort of interrupt something. And then the active tests will take something offline, basically. Or a passive check might mark it to get taken offline later and so on. And then the thing that we are working on that we have working partially but not entirely is automated refunds, which is basically like, is the case that the hardware breaks so much. And there's only so much that we can do and it is the effect of pretty much the entire industry. So a pretty common thing that I think happens to kind of everybody in the space is a customer comes online, they experience your cluster, and your cluster has the same problem that like any cluster has, or it's I mean, a different problem every time, but they experience one of the problems of HPC. And then their experience is bad. And you have to like negotiate a refund or some other thing like this. It's always case by case. And like, yeah, a lot of people just eat the cost. Correct. So one of the nice things about a market that we can do as we get bigger and have been doing as we can bigger is we can immediately give you something else. And then also we can automatically refund you. And you're still gonna experience it like the hardware problems aren't going away until the underlying vendors fix things. But honestly, I don't think that's likely because you're always pushing the limits of HPC. This is the case of trying to build a supercomputer. that's one of the nice things that we can do is we can switch you out for somebody else somewhere, and then automatically refund you or prorate or whatever the correct move is. One of the things that you say in this conversation with me was like, you know, you know, a provider is good when they guarantee automatic refunds. Which doesn't happen. But yeah, that's, that's in our contact with all the underlying cloud providers. You built it in already. Yeah. So we have a quite strict SLA that we pass on to you. The reason why

How do you fly in the sky? What do swoll pecs have to do with flying? Is it true that physics says that bumblebees shouldn't be able to fly?We're back from our hiatus with an exciting episode on how planes, birds and bees take to the sky and soar freely!Airfoil, camber, angle of attack and how Newton's Third Law of Motion creates liftBernoulli's principle visualised with a wine bottleVideo of how various birds move their wings during flightDiagram of how leading edge vortices cling to an insect's wings to generate liftVisualisation of inferior mirageEmail: explainthiscast@gmail.comFacebook: https://www.facebook.com/explainthiscastTwitter: https://twitter.com/ExplainThisCastInstagram: https://www.instagram.com/explainthiscast/Youtube: https://www.youtube.com/@explainthiscast 

King of 2 Mile pro shooter, Ryan Cheney, gets me all tuned up with my Desert Tech SRS at 1 mile and then we shoot his 416 Stroker out to 2200 yards. We also discuss his new rear rest called the AirFoil bag. Video review coming on that soon. This episode is dedicated to DJ who is one of my Patreon supporters! LOL Check out all our sponsors to save some money. Links below all the vids on youtube. Thanks!

This episode follows the wide-spanning career of Jason Jarvis, President of Jarvis Airfoil, from his early years as a political reporter to radio broadcasting with his fascinating mom to landing at Jarvis Airfoil 17 years ago.   Jason explains that the key to his career has been his aptitude for and belief in communication as a vital part of good business.   Jason and Ari talk about how airfoils make an aircraft work; the history of how Jarvis got into airfoils; the precision necessary to both make and inspect aircraft in today's manufacturing environment. And so much more!   They even dig deep to discuss a few solutions to the workforce issue. Don't miss this wild ride - it's one hell of an episode!   Company Website: https://jarvisairfoil.com/ Company LinkedIn: https://www.linkedin.com/company/jarvis-airfoil Jason's LinkedIn: https://www.linkedin.com/in/jason-jarvis-2b52a410/     Ari Santiago, CEO, CompassMSP Company Website: https://compassmsp.com/ Company Facebook: https://www.facebook.com/MadeinAmericaPodcast Company LinkedIn: https://www.linkedin.com/company/made-in-america-podcast-with-ari Company YouTube: https://youtube.com/c/MadeinAmericaPodcastwithAri Ari's LinkedIn: https://www.linkedin.com/in/asantiago104/   Podcast produced by Miceli Productions: https://miceliproductions.com/   Ari and Jason discuss: Precision manufacturing Aircraft manufacturing Workforce Laser Inspection Manufacturing technology How an airplane works Communication

Uppvärmning/uppföljning The London Bridge has fallen Calzone i Airfryer. Skivspelare till HomePod. Batteriet i Jockes Apple Watch SE har börjat ta slut väldigt plötsligt på kvällarna… Ämnen Veckans Apple-event, far out Länkar Operation London bridge - planeringen för drottning Elizabeths begravning Skivspelare till Homepod - gör det inte Bussgods Airfoil Apples “Far out”-event MIL-STD-810 Garmin enduro 2 Norseman-loppet Testa hur dina Airpods sitter i öronen Head-related transfer function Räkna på G-krafter Den dynamiska ön Talk show från i somras med Marco Arment Ipodannonserna Fullständig avsnittsinformation finns här: https://www.bjoremanmelin.se/podcast/avsnitt-324-precis-som-vinyl-sa-har-jag-talamod.html

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Airplanes are cool, right?! How much do you know about their wings? We're finally back from our winter break. Grab a warm beverage and hand out with us while we chat about airfoils! We have Merch!! https://www.butitisrocketscience.com/shop Patreon: https://www.patreon.com/biirs Find us on social media! Instagram: butitisrocketscience Twitter: butitisRS Facebook: But it is Rocket Science New Design by Sarah Price Follow her on Instagram: sarahprice.art Henna's Sources: “Airfoil.” Wikipedia, Wikimedia Foundation, 19 Jan. 2022, https://en.wikipedia.org/wiki/Airfoil. Anderson, John David. Fundamentals of Aerodynamics. McGraw-Hill Education, 2017. Darmofal, David. “Lecture Notes.” MIT OpenCourseWare, Massachusetts Institute of Technology, https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-100-aerodynamics-fall-2005/lecture-notes/. “Inclination Effects on Lift.” NASA, NASA, https://www.grc.nasa.gov/www/k-12/airplane/incline.html. Liebhaber, William. Airfoil Design, YouTube, 26 June 2016, https://www.youtube.com/watch?v=8fk2J5LtdSg. Books Mentioned: https://www.amazon.com/Hydrodynamics-Dover-Books-Physics-Horace/dp/0486602567 https://www.amazon.com/Elements-Aerofoil-Airscrew-Cambridge-Classics/dp/052127494X Anna's Sources: “Airfoil.” Wikipedia, Wikimedia Foundation, 19 Jan. 2022, en.wikipedia.org/wiki/Airfoil. “Angle of Attack (AOA).” SKYbrary Aviation Safety, 6 Oct. 2021, skybrary.aero/articles/angle-attack-aoa. “Compressible Flow.” Wikipedia, Wikimedia Foundation, 22 Sept. 2021, en.wikipedia.org/wiki/Compressible_flow#cite_note-J.D._Anderson_2007-1. “Elements of the Wing Section Theory and of the Wing Theory - NASA Technical Reports Server (NTRS).” NASA, NASA, ntrs.nasa.gov/citations/19930091257. “Hermann Glauert.” Wikipedia, Wikimedia Foundation, 16 Jan. 2022, en.wikipedia.org/wiki/Hermann_Glauert. “History of Flight.” NASA, NASA, www.grc.nasa.gov/www/k-12/UEET/StudentSite/historyofflight.html. History.com Editors. “World War I.” History.com, A&E Television Networks, 29 Oct. 2009, www.history.com/topics/world-war-i/world-war-i-history. “Inviscid Flow.” Wikipedia, Wikimedia Foundation, 23 June 2021, en.wikipedia.org/wiki/Inviscid_flow. “Ludwig Prandtl.” Wikipedia, Wikimedia Foundation, 26 Jan. 2022, en.wikipedia.org/wiki/Ludwig_Prandtl. “Otto Lilienthal.” Lemelson, lemelson.mit.edu/resources/otto-lilienthal. “Prandtl Number.” Prandtl Number - an Overview | ScienceDirect Topics, www.sciencedirect.com/topics/chemistry/prandtl-number. “The Wright Brothers: The First Successful Airplane.” The Wright Brothers | The First Successful Airplane, airandspace.si.edu/exhibitions/wright-brothers/online/fly/1903/. Music from filmmusic.io "Tyrant" by Kevin MacLeod (incompetech.com) License: CC BY (creativecommons.org/licenses/by/4.0/)

In this episode Matt and Joe talk about the work-horse of the Remote Control Airplane, the Airfoil. As always we talk about our adventures, experiences and efforts in the RC Hobby. Intro: 0:30 Building/Flying Stories Joe 3:25 Matt 32:10 Listener Comments 55:00 Lift 58:30 NACA 1:19:20 KF(m) 1:32:00 CG 1:43:00 Workbench: 1:56:30 Closing: 1:58:50 Show Resource Links: http://www.theampeer.org https://en.wikipedia.org/wiki/Clark_Y_airfoil NACA 4 digit airfoil generator KF(m) airfoils Other Resources Matt's papercraft build Feedback: Join us on Discord! Email us @ AviationRCNoob@gmail.com Say Hi on our Facebook Page Tell us how we’re doing Help others find the podcast by giving us a 5 star Rating on Apple Podcast --- Send in a voice message: https://anchor.fm/avaitionrcnoob/message

It has been a difficult few months for all industries, especially the aerospace sector. With commercial airlines grounded since April and only limited cargo and private flights running, demand for new aircraft and maintenance has dropped dramatically, giving an opportunity to look towards improving business practices. Several aircraft engine manufacturers have warehouses piled high with quarantined engine parts that have been removed and replaced, but without extensive quality control checks to see if the parts removed parts are within the serviceable repair domain.  In essence, they could be throwing away a perfectly sound component, or one which can be repaired and returned to flight. The costs associated with the MRO sector are huge, replacing turbine blades can exceed £10,000 for a single component. Decision making on whether defects and deterioration can be repaired is a labour-intensive process for engine manufacturers and MRO bases across the country. This is where GOM’s ATOS systems come in. With its automatic measurement and defect detection, the decision-making process is sped up and the 3D data can be reused to streamline additive and adaptive manufacturing processes. One of the highest-resolution scanners in the GOM arsenal, the ATOS 5 for Airfoil parts has been designed specifically for turbine industries. With its optimised working distance and measuring areas from 100 by 70mm², it delivers high-precision 3D data of the smallest details in a short measuring time. The ATOS 5 can create a full 3D ‘digital twin’ of a turbine blade within a few minutes or a complete blisk in less than one hour. Once an inspection has been defined, it can be automatically repeated for any number of blades or blisks. For more traditional quality control analysis of turbine blades and vane airfoils, the typical 2D sectional inspections included are the profile mean line, profile centroid, profile and edge thickness measurements and more. Having the digital twin allows for many more possibilities. The component wear, corrosion, dents and chips in ceramic coatings are some parameters being automatically analysed during the inspection process.  In advanced customer scenarios, GOM sees the data being used to help analyse and anticipate structural failures, Computation Fluid Dynamics (CFD) and component life. The rich 3D data and detailed insights allow for a more complete picture of the component, reducing the component repair process. The component repair solution is realised by combining the ATOS 5 for Airfoil, GOM Inspect software and the automation of an ATOS ScanBox. GOM’s range of ScanBox’s has been designed to make manufacturers life easier by automating the scanning process. Instead of an inspector using a scanner manually spending hours trying to fully scan one component, they can load it into a ScanBox and the 3D scanner and robotic automated arm will take a full scan in minutes.  The evolution and speed of the ATOS ScanBox allows it to be combined with Batch Processing System (BPS) giving the ultimate in metrology autonomy. It can measure more than 80 turbine blades without human intervention, giving a ‘lights out’ process. Robustness and measuring speed are key features of the system. For example, an inspector will load the BPS that will select each blade and insert it into the measuring space. The ATOS 5 for Airfoil scanning with an automated robotic arm, will then take a complete 3D scan of the blade before the BPS takes the blade out and then methodically selects the next blade for measuring. Traceability of the part is maintained with an RFID chip, which the system uses to track from the start to the end of the inspection process.  GOM systems have long been used to support the aerospace industry and the team is available to support new and existing customers through the current situation. Where safe to do so, engineers and technicians are visiting sites around the UK, supporting clients that may have been shut down for a few weeks and need assistance with the re-start process on their systems.

TODAY'S

A number of topics this week includeing: Skype Becoming Less Usable Odd thing happening from Microsoft. Whilst they put heaps of effort in to Seeing AI, Microsoft Office etc, they are doing the exact opposite with Skype accessibility and usability across platforms. http://www.dlee.org/skype/skype7phaseout.htm USB Power Points I am finding switching over to UsB power points in my house amazingly fantastic. Besides the fact I have a UsB port in most areas of the house where I sit or sleep, it also means I have been able to do away with having power boards full of chargers on the floor. Farago - New Sound Board from Rogue Amoeba for Mac This is one of this applications that puts different sounds into recordings etc such as drum roll, breaking glass, person screaming in fear etc. so if your a podcaster and you want to have a bit of fun, this Mac app is for you. Oh and by the way, my signing off this week was done by Ferrago. https://rogueamoeba.com/farrago/ Whilst talking about Rogue Amoeba, AirFoil from the same company which pipes audio from your Mac to various AirPlay speakers in your house, will also work with HomePod. Also, I discussed just having updated AirFoil to V5, that it will also play to Chromecast devices, so I can now use one interface to play to my Chromecast and AirPlay devices. Yes, I Now Have an iPhone X Just sharing some thoughts on the iPhone X now that I actually own one. I still find Face ID very clunky and most of the time still have to enter my pin to get in to the phone. The Apple Watch Sports Loop Band with Loop and Hook I just purchased this band, and had to let folks know that this band is amazingly comfortable. Like the other Sport bands it retails for $79.

On today's show Harris and Michael talk about songs and albums they use to “test and tune” their systems.  We also briefly talk about a couple pieces of gear we are testing: The AudioControl Rialto 600 integrated amplifier, and the NEXDrive Spectra Headphone DAC/Amp.  Mike talks about his home setup with Kodi and Airfoil, and … Continue reading 13: Songs To Test and Tune Your System With, Backing Up Your Audio, and More! →

Underpass with Jeff Johnson On today's episode, Jaim Zuber, Andrew Madsen, and Guilherme Rambo talk about Underpass with Jeff Johnson. Jeff is a Mac and iOS developer with more than a decade of experience as a software engineer. He recently released an app for Mac and iOS called Underpass. Tune in to learn about it! What is Underpass? As Jeff puts it, Underpass enables encrypted chat and file transfer between two devices.  The data you transfer is encrypted from end to end. It does not even rely on any third party. You also don't have to login to a server. The app allows you to communicate directly on any network. Inspiration Kicks Off When Apple made the change from iTunes to the iCloud as the preferred way of setting up iOS devices, a lot of the functionality was removed. The iTunes features were removed and if you're like Jeff and don't rely on the cloud, this could be a bit frustrating. Jeff wanted an easier way to bring data from his Mac to his iPhone. This was his motivation to write the app but it's grown from there.   Writing Your Own Code Jeff could not use the higher level API or S-URL connection because they deal with existing center protocols. He had to go down to a lower level core foundation API, CS Stream. Jeff had a lot of experience with this level when he was a lead developer at Airfoil so it wasn't too difficult for him. Jeff did not write his own encryption, he used Common Crypto. It offers the same functions on Mac and iOS on one shared code base. Jeff warns against trying to write your own crypto. You'll have problems with export compliance and you'll have to go through a compliance application process. Objective-C Versus Swift Jeff used Objective-C versus Swift in new projects. The compilers are there,  they aren't going to be removed, they are always going to work and the language is not changing. In the podcast, Jeff discusses why it's a good idea to wait a while longer before switching to Swift due to it's changing nature. To learn why Jeff decided to build Underpass's UI entirely in code download and listen to Underpass with Jeff Johnson. What are your thoughts about Underpass with Jeff Johnson? Leave us a rating and review if you enjoyed the show. We would love to hear from you! Picks: Jaim: The Trans album by Neil Young Gui: Apple Watch, Hacking with watchOS book Jeff: Manifold: Time by Stephen Baxter Andrew: Neil Young Unplugged album, Techmoan on YouTube

Underpass with Jeff Johnson On today's episode, Jaim Zuber, Andrew Madsen, and Guilherme Rambo talk about Underpass with Jeff Johnson. Jeff is a Mac and iOS developer with more than a decade of experience as a software engineer. He recently released an app for Mac and iOS called Underpass. Tune in to learn about it! What is Underpass? As Jeff puts it, Underpass enables encrypted chat and file transfer between two devices.  The data you transfer is encrypted from end to end. It does not even rely on any third party. You also don't have to login to a server. The app allows you to communicate directly on any network. Inspiration Kicks Off When Apple made the change from iTunes to the iCloud as the preferred way of setting up iOS devices, a lot of the functionality was removed. The iTunes features were removed and if you're like Jeff and don't rely on the cloud, this could be a bit frustrating. Jeff wanted an easier way to bring data from his Mac to his iPhone. This was his motivation to write the app but it's grown from there.   Writing Your Own Code Jeff could not use the higher level API or S-URL connection because they deal with existing center protocols. He had to go down to a lower level core foundation API, CS Stream. Jeff had a lot of experience with this level when he was a lead developer at Airfoil so it wasn't too difficult for him. Jeff did not write his own encryption, he used Common Crypto. It offers the same functions on Mac and iOS on one shared code base. Jeff warns against trying to write your own crypto. You'll have problems with export compliance and you'll have to go through a compliance application process. Objective-C Versus Swift Jeff used Objective-C versus Swift in new projects. The compilers are there,  they aren't going to be removed, they are always going to work and the language is not changing. In the podcast, Jeff discusses why it's a good idea to wait a while longer before switching to Swift due to it's changing nature. To learn why Jeff decided to build Underpass's UI entirely in code download and listen to Underpass with Jeff Johnson. What are your thoughts about Underpass with Jeff Johnson? Leave us a rating and review if you enjoyed the show. We would love to hear from you! Picks: Jaim: The Trans album by Neil Young Gui: Apple Watch, Hacking with watchOS book Jeff: Manifold: Time by Stephen Baxter Andrew: Neil Young Unplugged album, Techmoan on YouTube

Developer Paul Kafasis joins us to discuss in-house streaming: AirPlay, Bluetooth, and Google Cast. This week’s guest: Paul Kafasis of Rogue Amoeba Software Show notes: Episode #43 – Streaming Music 2.0 Episode #47 – 10 Ways to Connect Your Computer to Your Stereo Kirk’s Yamaha R-N301 Rogue Amoeba’s AirFoil Google Chromecast Our next tracks: Kirk: Moody Blues: Days of Future Passed Doug: David Lindley: El Rayo-X If you like the show, please subscribe in iTunes or your favorite podcast app, and please rate the podcast. Special Guest: Paul Kafasis.

Diva Tech Talk interviewed Janet Tyler, Chief Operating Officer, at Red Level Networks (www.redlevelnetworks.com).  Janet’s early tech interest was enthusiastically fostered by her father. “That carried me in through college” where Janet earned an MBA in Organizational Development at Eastern Michigan University, and her computer interest was a continuous underlying theme. After obtaining her master’s degree, Janet’s first job was at New Horizons (www.newhorizons.com) where she initially trained customers in emergent applications (like Microsoft DOS). She traveled extensively, training end-users on relatively new applications, and then moved into a New Horizons marketing and operations management role. From New Horizons, Janet moved to the Franco Public Relations Group for whom she led a technology practice encompassing customers like Microsoft, Omnicom, T-Mobile, Supply Solutions Inc. and various tech startups. After four years at Franco PR, Janet “hatched an idea” with the its President to “spin off a company that was dedicated solely to the needs of technology companies:” Airfoil Public Relations (www.airfoilgroup.com ). There she was President and Chief Operating Officer. Janet grew as the company did, at one point moving to Silicon Valley. She spent 3-4 years establishing the Airfoil operation in California, before moving back to the Midwest in the middle of the 2009 recession. In 2012, she became co-CEO of the company, and helped build a highly collaborative culture. Among Airfoil accounts were eBay, eBay Motors, Microsoft, LinkedIn, PayPal, and many others including less renowned startups. In the last two years, Janet joined Red Level to help them pursue their “mission to provide IT consulting and services to companies throughout Michigan, predominantly, who are invested in technology and who innovate.” As COO, she oversees all operations and marketing. Her personal strengths include: strong communications capability, process orientation, project management skills, broad future view/vision and a sincere team orientation Being a woman has not negatively affected Janet. “I have rarely looked at myself as a ‘woman’ leader,” she said. “My lens is not geared to that.” One of her personal weaknesses, along the way, has been her occasional “negative self-talk, and self-doubt.” Now, she is achieving a greater level of peaceful, internal balance through mindfulness and meditation. Janet’s top leadership lesson for other women includes realizing when you approach individual burnout. Then train and develop others, build a team and lead it to remain effective in delivering results. “This can be very difficult for people who have a high need for control.” She also recommends that you learn “when to slow down and when to speed up” in getting things done, and making decisions. You can reach Janet Tyler at jtyler@redlevelnetworks.com, or through Twitter at @janet_tyler. For the full blog write up, make sure to check us out on online at www.divatechtalk.com, on Twitter @divatechtalks, and on Facebook at https://www.facebook.com/divatechtalk. Follow our show and tell us what you like with an online review.

Heute stellt sich raus, wer sich untreu geworden ist und Verrat an der Menschheit geübt hat. Es wird erkundet, ob die alten Picks noch was taugen. Lieber Fluggast, wenn dir das Gehörte gefällt oder dir Sorgenfalten auf die edle Stirn fabriziert, dann haben wir etwas für dich: iTunes Bewertungen. Follow-up Öffnen ohne Drücken Returns AirPods Subwoofer Cloud Computing: Dropbox speichert in Deutschland Kagi gibt’s nicht mehr – am 31. July 2016 wurde das Geschäft aufgegeben. YouTube removes access to Watch Later for third-party developers – Alternativen: Offizielle Apps benutzen (VT und NT) Eigene Playliste anlegen und die stattdessen benutzen (mit VT und NT; “Add all to…”) Plex It BusyCal jetzt mit “timed” Todos Camtasia 3 Flughhöhe Was wurde eigentlich aus? UC007 Patrick: Uberspace.de und seine flexible, faire Preisstruktur Sven: WiFi-Explorer von Adrian Granados Andreas: xScope von The Iconfactory UC008 Andreas: Revisions von Bayesbits Sven: BuyMeAPie! Patrick: Ultratext von Xether Labs UC009 Andreas: Codecheck Patrick: Übersicht Sven: Marked 2 (gibt es ebenfalls zu gewinnen bei uns!) UC010 Andreas: iStat Menus - alle System-Statistiken in der Menüleiste, DIY TRX - Fitnessgeräte selbst schrauben. Patrick: DropShare - Droplr/CloudApp auf dem eigenen Server. Sven: Timeful — Aufgaben im Kalendar planen; Selbstlernend mit Gewohnheiten-Unterstützung UC011 Andreas: Stackables Patrick: Pear Note Sven: »MacSparky Presentation Field Guide« von David Sparks UC012 Patrick: Timerlist von Strauss Sven: OmniFocus 2 für’s iPad ist zwar noch nicht draussen, aber Insider Sven macht euch hier einfach trotzdem schon einmal den Mund wässrig, da diese Version wohl seine Erwartungen bei weitem übertroffen hat. Andreas: After Shave Milch von Esbjerg UC013 Sven: Write (8,99 €) Andreas: Neila Rey Patrick: Tree (10,99 €) UC014 Patrick: Rain Alert (1,79€) [mit mehr Details] Sven: The Flop House Podcast Andreas: Condense (2,99 €) UC015 Patrick: Paprika (Mac: 17,99 €; iOS: 4,49 €) Sven: Drafts 4 (iOS: 4,49 €) Andreas: FitHIT (iOS: 2,69 €) Schmankerl: Daily Bio-Energizer Warm Up Routine UC016 Sven: Hardgraft Phone Pack (ca. 335 €) Andreas: nPlayer (4,49 €) und Great Lash Clear Mascara Patrick: ExpanDrive ($49,95) UC017 (2014-11-27) Mega-Pick Show 1 Die Mega-Pick Übersichtstabelle inklusive Timecodes Gadgets Mac Apps iOS Apps Web Services oder Skripte Verschiedenes Sven Logitech Keys-To-Go (00:17:00) SuperDuper (00:37:40) Newsify (01:01:10) Trello (01:23:20) Trove (01:36:15) Quadcopter Blade Nano QX (00:24:40) Mailbox (00:46:40) Space Age (01:08:15) Kirby 2.0 (01:26:00) Stelton Pure Black Messer (01:40:40) Jawbone UP3 (00:31:20) Desk (00:56:30) das Referenz (01:18:18) Slack (01:30:20) Soulra FRX3 Kurbelradio mit USB-Ladeausgang (01:44:00) Patrick Sennheiser MM-550 (00:19:15) Airfoil (00:42:20) Voice Dream Reader (01:03:20) FileBot (01:20:00) Reosmods Reo Grand (01:32:00) Tom Bihn Ristretto (00:26:45) iTerm 2 (00:48:25) Due (01:10:00) BitTorrent Sync (01:24:50) Walter Moers - Stadt der Träumenden Bücher (01:38:00) Maglus Stylus (00:32:30) Asepsis (00:54:30) Nuzzle (01:14:40) Pow/Anvil (01:28:40) Sunflex snakebyte power:cub (01:44:00) Andreas Merkur Progress (00:28:45) Highland (00:40:00) Pinnacle Studio (01:08:15) Appbot (01:21:40) Fully Present, The Science, Art, and Practice of Mindfulness (01:34:30) Türreck (00:34:00) Minecraft & Feed The Beast (00:44:40) Decim8 (01:11:15) Subtle Patterns (01:27:20) The War of Art - Steven Pressfield (01:42:30) Amadeus Pro (00:51:00) Outread (01:16:10) Neckar (01:49:30) ffmpeg (00:58:18) UC018 Patrick: ./choose (Mac $1,99) von Tiny Robot Software Sven: Original Mac OS X Icons von Susan Kare als Poster Andreas: Week Calendar iPhone 1,99 €/iPad (3,99 €) UC019 Patrick: Der vermessene Mensch (von SWR.de) Andreas: Markdown Keyboard (4,49 €) Sven: Crossy Road (0 €) UC021 Patrick: ScreenFloat (oder SnappyApp) Andreas: The Enlightened Sex Manual ** UC022 Andreas: Audio Hijack 3 Sven: FujiFilm X100T für 1.199 Steine. Patrick: Due 2 für 4,99 €. UC023 Andreas: Hydra HDR Freund Andreas pickt die Ultra HDR App. HDR’iger geht’s nicht. Sven: Canva ist ein super einfaches Online Layout Tool mit dem sich schnell mal ein Grafik, eine Einladung oder Flyer gestalten lässt. Im Gegensatz zu den sonst gefürchteten Clip-Arts und Layouts ist Canva extrem stilsicher unterwegs und selbst der Unbegabteste kann richtig glänzen. Kostenloser Grundumfang, nur einige Grafiken, Fonts und Bilder kosten. Patrick: JPEGmini Das beste Tool um JPEG’s kleiner zu machen. UC024 Sven: AlterNote Andreas: Colin McRae Rally Patrick: Easy Photo Merge bzw. Easy Photo Merge Pro on the App Store on iTunes UC025 Patrick: AcousticSheep – SleepPhones (ab 36 €) Andreas: Slugline (39,99 €) Sven: Alto’s Adventure (1,99 €) UC026 Andreas: OmniGraffle und/oder OmniPlan Patrick: DragThing Sven: Backpack 3 von twelveSouths UC027 Patrick: Pandemie (Brettspiel) (29 €, Video Review, auf iOS) Andreas: Wahl Lithium Ion+ (ca. 80 €, Review) Sven: VANMOOF Electrified 3 Ebike (2.249 €) UC028 (2015-04-28) Patrick: Ergotron LX Desk Mount (ab 148 €) (VESA-Adapter für den iMac und Cinema Displays gibt’s auch) Andreas: iMuscle 2 Sven: Documents by Readdle UC029 Andreas: Factorio Sven: SIRUI T-005X Traveler Light Dreibeinstativ Patrick: Enlight UC030 Andreas: Workflow Patrick: Transmit iOS Sven: Ally UC031 Andreas: djay Pro Patrick: Showmaster Sven: FlipBoard UC032 Andreas: Nutshell Sven: Hocus Focus Patrick: ReadKit UC033 Patrick: Narro Sven: Ghost Andreas: Export Calendars Pro UC034 Andreas: Socialpilot Thomas: Sinfest Patrick: Tales of Mere Existence – “confused comedy for confused people” UC035 Patrick: PlainTasks Sven: Lifeline Andreas: Calibre (und COPS) UC036 Andreas: PowerCube Sven: Ghostery Browser Plugin gegen (Ad-)Tracking Patrick: Kaiserschmarrn UC037 Patrick: Rego Andreas: BetterSnapTool UC038 Andreas: Browser Fairy Patrick: Marcato Sven: Anker 2nd Gen Astro Externer Akku UC039 Sven: Tech Dopp Kit von This Is Ground Patrick: Stand-Up Paddling ausprobieren! Andreas: Spillo UC040 (2015-10-09) Sven: Tiles Patrick: Dictater by Nosrac Andreas: Self-Made Deodorant – How to Make Natural Deodorant & Hair Gone Wild & die Alternative (Happy Hair) UC041 Andreas: Feeder Patrick: Assembly samt Backstory Artikel Sven: B&O H6 Kopfhörer (399€) UC042 Sven: Joe Buhlig’s neues OmniFocus Buch Andreas: Beard Type Chart Patrick: Zimtsohlen UC043 Andreas: Hype 2 Sven: Elgato Eve Wetter- und Raumklimamessung mit HomeKit und Siri-Unterstützung; Auch Steckdosensteuerung und Fenster- und Türsensoren aus Deutschland. Patrick: Eigentlich f.lux, aber nun da es doch wieder weg ist thomasfinch/GammaThingy (Bei Installations-Problemen hier klicken) UC044 Mega-Pick Show 2 (2015-12-04) iOS Apps picTrove 2 pro - Search across 12 Internet services for the best photos and animated GIFs Reeder 3 Contrasts Email+ & Group Text+ (auch als Bundle erhältlich) ChoiceMap YouTube: Introducing ChoiceMap Wikipedia: Analytic hierarchy process iShows 2 - Der beste Serientracker mit Trakt.tv Unterstützung Momento Diary/Journal Terminology 3 - Extensible Dictionary and Thesaurus Goal Streaks Price Radar Typorama Primary Lemur Mac Apps Für Hater von Preference Pane Apps. Endlich ein Fenster das man in der Größe verändern kann: Services Manager mGlitch Calca (iOS/Mac) inShort Movist OSCulator djay Pro Pomodoro Timer DaisyDisk VisualDiffer CodeKit Downie - Video Downloader Up - Uploader for Instagram TerraTech Gadgets und Sonstiges FRITZ!Box 4080 (≅ 240€) N/A Yellowtec: Mikrofonarm (240 €) RME Audio für alle die eine Audio Interface brauchen und die besten AD Wandler wollen und “mit ohne Latenz” gut finden. TotalMix – Digitales Mischpult – ist der Hammer. Sea to Summit Ultra-Sil Day Pack: Amazon.de: Sport & Freizeit Bücher, Musik, Kurtisanen Instapaper Pandemie von ZMan MIT NEUEN ERWEITERUNGEN Grundpspiel Erweiterung 1: Auf Messers Schneide Der Bio-Terrorist hört sich gut an, ist er aber nicht. Der Rest der Erweiterung ist Spitze. Erweiterung 2: Im Labor Macht Pandemie etwas komplexer… und anders. Prädikat Lohnenswert. Feedly Bob’s Burgers Adventure Time Foxy Dori: Wanderlust leather (Custom Midori) Reality TV: The Great Pottery Throw Down auf BBC Barfussschuhe: Merrell - Vapor 2 Glove Grey/Spicy/Orange Men Stop A Douchebag Rasier Set von Zettt Geo F. Trumper’s Sandalwood Soap in a bowl The Razor Queen MÜHLE - Reise-Rasierpinsel Silvertip Fibre MÜHLE - Reise-Rasierpinsel Silvertip Fibre (matt) Mühle Reisedose Noch schicker Feather Blades UC045 Svens Welt der exzellenten Picks Hardcraft Taschen This Is Ground Tech Dopp Kit MoneyMoney App Focus App Whiplash Xpand Lacing System (IndieGoGo) FitStar Apps Bokeh Kappen von Tim van Damme Streaks App Herb: Mastering the Art of Cooking with Cannabis Pulp Fiction Explicit Talking Figure Alldock Patrick: OneVideo für das Apple TV Andreas: Quiver Sven: Swifty UC046 Sven: Vivino Andreas: inShort UC047 Andreas: StackOne Patrick: Morgen hör ich auf Sven: olloclip Kameraobjektiv UC048 Sven: OneAdaptr TWIST Plus+ World Charging Station für das MacBook. Der perfekte Reiseadapter für US/Australien, UK und Europa. Patrick: Pok3r kann man programmieren und mit 60% ist es nicht zu groß und nicht zu klein. Andreas: Hyphen auf iOS UC049 Andreas: 7 Days to Die ist ein Zombie Shooter im Minecraft Stil. Patrick: Sortly • Moving, Organizing and Inventory App hat Patrick geholfen für seine Aufräumaktion doppelt so lange zu brauchen, wie eigentlich nötig gewesen wäre. Sven: “The Chickening” pickt Sven auch Meditation minus Esoterik!. Headspace ist ein extrem gutes Programme zur Entwicklung von Achtsamkeit, Ruhe und Übersicht im Bewusstsein. UC050 OmniFocus (Sven) 2Do (alle) TaskPaper (Patrick) Foxy Dori - Analog Setup (Patrick) Trello (alle) Unsere Picks Patrick: Firewatch Sven: Messer schärfen für echte Männer und für 119€ Andreas: OrderedBytes ControllerMate, #UC011 SteelSeries Stratus, SteelSeries Nimbus, Logitech R400 In Spenderlaune? Wir haben Flattr und PayPal am Start und würden uns freuen.

Several of your fellow listeners are ingenious folks, having come up with some clever solutions to tricky problems. Join Dave & John as we all learn how to backup and restore your OS X text substitution preferences, use AirFoil to cusomitze your Mac's audio, restore Snow Leopard's zoom and scroll […]

Vi säger tack för denna gången med ett sista farväl till våra kära lyssnare.  Tips på poddar att lyssna på istället är:   Macbreak WTF med Marc Maron Radiolab   Nyheter iPhone SE http://array.se/nyheter/apple-presenterar-iphone-se/ iPad Pro 9.7 http://array.se/nyheter/nya-ipad-pro-97-tum-med-upp-till-256gb-lagring/ Nya mjukvaror (inget intressant förutom night mode) FBI caset läggs ner http://macworld.idg.se/2.1038/1.654215/usa-sager-att-de-last-upp-iphone-utan-apple Charlie Stross on Apple vs. the FBI Har vi sett det sista av Mac OS X? Byter Apple namnet till MacOS? http://www.idownloadblog.com/2016/03/30/macos/ Jag har provat Uber! LL Samtidigt blir UberPOP olagligt http://www.dn.se/nyheter/sverige/uber-tjanar-pengar-forare-far-ta-smallen/ AirFoil 5 släpps! Potent konkurrent till Sonos Webbutvecklare och sugen på det senaste? Här är special-Safari för dig!

Native Email-Umzüge auf YouTube. Wie schön ein Umzug nach Fastmail sein kann erzählt euch Sven, wo der Unterschied zwischen nativen und Web Apps ist erklärt euch Patrick und was es mit der Neuerscheinung names YouTube auf sich hat bekommt ihr von Andreas visualisiert. Lieber Fluggast, wenn dir das Gehörte gefällt oder dir Sorgenfalten auf die edle Stirn fabriziert, dann haben wir etwas für dich: iTunes Bewertungen. Überbleibsel Als erstes will verkündet sein, dass wir ein echtes, lebendiges 1,92 großes Überbleibsel haben: Gianna Nannini persönlich heißt Sven Fechner “Willkommen zurück im Cockpit” und trällert dem charmanten Halb-Lanzmann ihren unvergesslichen Hit Bello E Impossibile vor die Lauscher. Verlinkt wurde von der Redaktion im Übrigen auf die Enya-Version bei welchen auch eine ganze Reihe an Jugendbildern von Sven zu sehen sind. Hach ja, da wird einem ganz heißlauwarm. FlowVella Präsentationssoftware Sven stellt FlowVella, die Presentationsoftware für den Mac vor. Es soll wohl einen Blick wert sein das gute Stück. Dieser Blick kostet euch schlappe 4,99 €. KipstR: Das Wearable für Penner Ganz politisch korrekt, denn so wie du das jetzt verstehst, ist es nämlich nicht gemeint. Sven hat ein smartes Armband ausgegraben, welches euren Videorecorder anwirft sobald ihr einschlaft und euch dann schön hart durchstalkt… die liebe lange Nacht lang. Gefunden hat er dieses schmucke Stück auf Engadget Allemagne. Im Cockpit sorgt das natürlich für Gesprächsstoff, weil “wer hat sich denn bitte schön noch nicht beim Schlafen aufgenommen?” Jeder den wir kennen macht das in genau abgestimmten Intervallen. Um genau zu sein, kommt es sogar öfters zu sportlichen Wettkämpfen wer die schönsten Pirouetten drehen kann beim Schlafen. Das von Patrick beworbene Meistervideo hat er leider nicht mehr auffinden können. Dieses wird wohl als neue Heimat den Friedhof für überflüssiges Filmmaterial gefunden haben. OmniFocus Beschwerde Endlich mal einer der Tacheles redet. Andreas zieht OmniFocus ordentlich durch den Kakao. Das ganze artet aus und dauert über eine halbe Stunde. Hört hin (Timecode 00:05:30). Gut, zugegeben… es ist keine halbe Stunde, denn so schlecht ist die App natürlich nicht. Aber, wer mitranten will darf das gerne per feedback AT derubercast DOT com. Sven eilt natürlich zur Rettung und sagt dann tatsächlich auch noch einmal was ihn stört. It’s an Ubercast first. Patrick verweist schlicht und einfach auf sein neues Ding (2Do). Überschallneuigkeiten Der Übercast vloggt “Apropos YouTube…” wer lesefaul ist, der kann sich auch nebenher diesen formschönen Mitschnitt mit den 3 Engeln anschauen, welche diese Show auf 8.000 Höhenmetern mit Bravour moderieren. Jawohl, wir sind en vogue, wir sind jetzt auf YouTube. THE SCARF Das iPhone 6 Plus zu halten ist wie’n Versuch zu unternehmen einen Lachs mit den Füßen zu fangen. Zumindest nach Patrick. Deshalb hat er auch endlich ein caseloses Case für sein iPhone. THE SCARF von TOTALLEE ist ein dürres Ding und euer iPhone 6 sieht fast so aus wie ein richtiges iPhone 6 (also eines ohne Hülle). Das war’s auch schon von den Überbleibseln. Jetzt geht’s los. Fechners Fastmail Endgültig weg vom heiligen Sankt Google ist Sven “Fastmail” Fechner. Eigentlich müsste das im Plural hier niedergeschrieben stehen, denn natürlich muss der ganze Fechner-Klan mit… welcher im übrigen mit brandneuen .email TLD’s ausgestattet wurde. Die Regeln konnten gut emigriert werden, man hat sein eigenes Adressbuch und hat auch noch Speicherplatz. Seit #UC008 “Emaille und das Märchen vom leeren Posteingangskorb” hat sich bei Patrick nichts geändert, seine Emails dümpeln immer noch auf Uberspace vor sich hin und schwappen so in sein Postfach und Andreas sein Postbote heißt nach wie vor Dreamho(r)st. Patrick sieht darin selbstredend einen tätlichen Angriff gegen den eigenen Lokalpatriotismus. Andreas Z. wäre quasi Tyler Durden, wenn er zu den Amis rennt anstatt ein deutsches Prachtweib sich zur Gattin zu nehmen. Naja, halb so wild. Da hört ihr einfach selbst genau hin ab Timecode 00:18:45. Gratis oben drauf gibt’s aber noch ein Hetzkampagne gegen GMX, AOL, WEB.de und Konsortien. Da stimmt auch jeder brav mit ein. Einen deutschen Anbieter der einfach ist und viel kann benennt Patrick noch: all-inkl.com soll wohl recht Einsteigerfreundlich sein. Privatsphäre und Sicherheit Die Datensicherheit, dass ist Sven’s neues bestreben. Er sucht jetzt auch nur noch mit DuckDuckGo, Patrick ergänzt im Skype-Chat die Empfehlung mit ixquick.com. Sven stellt vor, wie und wo man sich mit Zertifikaten absichert. Apple bekommt ein Lob ab, weil in iCloud automatisch verschlüsselt wird beim emailen. Andreas weiß mehr zur Verschlüsselung und glänzt mit Details. Patrick hingegen braucht dazu noch ein Handbuch “Email-Security for Dummies”, damit er das irgendwann einmal geregelt bekommt. GPGMail for Mail.app GPGTools für Yosemite Welkers Web Apps vs. Native Apps Was ist der Unterschied? Gruber erklärt: Web Anwendungen sind 3 Ebenen tief: Die App Im Browser Dein Betriebssystem Native Apps hingegeben haben nur 2-Ebenen und verzichten auf den Zwischenschritt “Browser”, was ihnen mehr Möglichkeiten gibt in Sachen tiefergehender Integration mit dem jeweiligen OS. Kurz, sie sind simpler und funktioneller, wenn richtig programmiert. Wo fängt Nativ an? Als Eingangsbeispiel kommt Sven’s FastMail iOS App, welche auch nur ein Wrapper für die Web App ist. Vergleichbar ist das Fluid für Mac. Die App macht nichts anderes. Patrick hat z.B. ein Overcast Webinterface per Fluid. Web Apps sind aber manchmal nicht genug, und so bevorzugt er statt seiner Fluid-Overcast App die native iOS App und haut sich seine Podcasts bekanntermaßen per Airfoil auf den Mac. Dann gibt’s auch Smart Speed und Voice Boost. Beispiele für getarnte Web Apps die einen auf nativ machen auf dem Mac: Tumblr und Feedly bieten zum Beispiel keinen Mehrwert. Schlauer ist es dann nach Patrick, wenn man als Web Service lieber komplett darauf verzichtet; halt so wie Instagram und Flickr. Zielgerichteter macht es da Fastmail, Workflowy, Wunderlist. Die Apps funktionieren auf iOS trotz Wrapper blended. Ebenfalls Spitze: Simplenote. Da fühlt es sich schon zu 99% nativ an. Federico’s Todoist ist den Piloten auch zu schwach auf der Brust mit dem kargen Mac Shortcuts. Es fühlt sich nicht schnell an, da ein strikter Mauszwang herrscht, wenn man effizient arbeiten will. So etwas schränkt ein. Beispielsweise kann man nicht mehrere Dateien markieren und verschieben. Uff. Gemeint ist das man alle Tasks einzeln anklicken muss. Nicht wie gewohnt den ersten Task markieren kann, Shift gedrückt hält und dann den letzten Task markiert. Randbemerkungen von Patrick: Er hat fest mit einer OmniFocus Web App beim OF2 Release gerechnet. Er kann sich gut vorstellen, wenn Todoist ausgereifter ist umzusteigen Auf iOS wo man eh nur “toucht” ist das alles nur halb so wild, also kein Wunder das iOS Gruber so vernarrt ist in die App. Er hat quasi keine Abstriche. Patrick hingegen ist kein Federico, er liebt seinen Mac… und holt sich ungern eine essentielle App ins Haus, die es quasi nur auf iOS bringt. Der letzte Punkt wird auch noch einmal aufgerollt, da Patrick mit seinem Unverständnis wie man nur mit “Handy-Apps” auskommen kann nicht alleine ist. Das ganze kommt aber auch von drei Leuten die den Großteil ihrer Zeit vor einem mehr oder minder großen Bildschirm hocken. Wir sind keine echten Mobile-User. Wir sind die Macintoshs. Patrick zieht das Fazit: Eventuell ist das reine Gewöhnungssache?!? Patrick W. (33) aus Berlin über die Präferenz eines Desktop gegenüber tragbaren Minis. Wie dem auch sei, dass es auch anders herum geht zeigt ja Instagram. Die hatten jahrelang keine Web App und sind nativ auf iOS und Android gestartet. Okay. Wem es noch mehr nach Unterschieden dürstet, der darf bei Jason Snells “Six Colors” vorbeischauen: Web apps, native apps, and app ecosystems Auf der dunklen Seite des Mondes – Entwicklung von Nativen Apps Ob man als Anbieter von Waren Apple’s 30% Cut vertragen kann spielt vielleicht auch bei der Entscheidung einer Start-Plattform eine nicht untergeordnete Rolle. Nicht jeder kann sich die Umwege leisten, welche Amazons Kindle geht und mit einer guten Web App mit Shop-Anbindung hat meine eine gewisse Unabhängigkeit. Aber Schwerpunktwechsel ahoi nun: Eine App funktioniert ja bekanntermaßen über’s Design. Klassischer Weise ist die Aufgabenteilung, dass der Designer sich um Layout und UI kümmert, während ein Entwickler das Backend codet, für Datenbankanbindung sorgt und seinen Voodootanz aufführt – Design+Code haben einen Artikel dazu mit dem klangvollen Namen “Web VS Native”. Es geht unter anderem darum, dass Entwickler immer noch als “Mädchen für Alles” herhalten müssen, sich am Ende des Tages noch eine UI ausdenken sollen, obwohl sie eigentlich mittels Nullen und Einsen die Roboterarmeen befehligen wollen. Im besten Fall kommt nach Patrick bei der Taktik so etwas wie Audio HiJack 1.0 raus, mit austaktierter Aufgabenteilung kann es dann aber UI+designtechnisch ganz schnell ein sehr geiles Audio HiJack 3.0 werden. Six Colors hat auch hier den passenden Artikel am Start und für die alte Hornbrille noch dazu ein tolles Interview mit Rogue Amoebas CEO Paul Kafasis. Sven geht noch einen Schritt weiter. Denn wer den Anspruch schlechthin hat, der ist Fuchs und holt sich separate Spezialisten für Web, Mobil, iOS, Android, Oma’s Abakus und Kai Pflaumes Etch A Sketch. Wünsch dir was der Piloten: Letterboxd • Your life in film auf dem iPhone OmniFocus als Web App und Kollabo-Basis mitsamt IFTTT-Anbindung Overcast auf dem Mac Zapping Zeitler - Das Wunder von YouTube Pünktlich vor dem 10-jährigen YouTube Jubiläum rollt der Zeitler alles auf. Doch bevor es soweit ist, glänzt Sven mit Pilotfachwissen, denn… der Airbus A380 hat nun auch schon 10 Jahre auf dem Buckel. Angelo DeSantis, A380 preparing to depart SFO (on Flickr) Bei dieser Unterbrechung durch seinen einen Co-Piloten soll es nicht bleiben. Andreas kommt gerade noch dazu zu erwähnen, dass “Why-T” die zeitlerzweitgrößte Suchmaschine ist. Dann wird er von Patrick unter Dauerbeschuss mit Samples genommen… übrigens nicht zum letzten Mal in dieser Episode. Der Arme. Nach erfolgreich überlebten Bombardement darf er aber über passende iOS und Mac Apps reden, High Framerate Screencasts und ScreenFlow 5… oder halt über was Anderes. YouTube Markt in Deutschland Bei Mediakraft sind, bzw. werden, 3 grosse Kanäle gehen. Jeder der Channels hat ca. 1.5 Mio. Abonnenten. Gemessen daran, dass sie damit in den Top 10 in Deutschland sind, kann man sich denken was bei Mediakraft los ist. Simon Unge macht Ende Dezember auf sich aufmerksam mit der Aktion #freiheit. Öffnet im neuen Jahr einen neuen Channel und hat nach ca. 1 Monat wieder fast seine gesamte Abonnentenschaft umgezogen. Stand 30.01.2015: 878.201 Subscriber. Hut ab, liest sich gut. Allerdings sind die Zahlen wenn wir mal ganz ehrlich sind ja Kinkalitzchen. Warum? Sie stammen aus einer Zeit in der “Der Übercast” noch nicht auf YouTube war. Nun beginnt ja eine neue Zeitrechnung. Mediakraft… ach… da lachen doch die Kaulquappen und pellen sich aus dem Schmetterlingsmantel. Doch weiter geht es mit des Zeitlers liebsten Hobby. Nein, nicht das Vorurteil mit den Schmink Tutorials… wie zum Beispiel MadeYewLook… … es geht um echte Männer! Die schauen nämlich viel lieber Shaving Videos. Beispiele? Da wir hier ja völlig genderkonform sind und “metro” eingestellt sind, gibt es auch noch was für Frauen, die mit Rasiermessern hantieren: SharpShaving. Wie macht man Werbung auf YouTube? Firmen tun sich schwer den YouTube Markt für sich greifbar zu machen. Das Motto ist verkaufen, verkaufen, verkaufen. Doch das alte “Hardselling” funktioniert nicht auf YT. Soft Selling ist in. Wer einfach Spam verschickt bekommt unter anderen solche Reviews: Aaron Marino (Alpha M Image Consulting; bei Maker) schaut sich den Fusion Proglide With Flexball Technology an: In dieselbe Richtung geht’s bei Elliott Hulse (Strength Camp). Der bekommt hier ein paar Nahrungsergänzungsmittel zugeschickt. Der DM Markt ist der einzige Firmenchannel den man nach Andreas empfehlen kann. Nicht aggressives verkaufen steht hier im Vordergrund, sondern reine Generierung von Mehrwert für potentielle Kunden. Es gibt Interviews mit den DM Marken und Fragen werden per Facebook gesammelt. Beispiele sind zum Beispiel die Tipps für Einsteiger: Geschirr abspülen Wohnungsputz Bevor es an die Clients geht, hat sich Andreas noch ein wenig Zerstreuung verdient durch Patrick. Die Jungs sind ja auch schon knappp über eine Stunde in der Luft. Hasenohren von Patrick – Das “Original” von Louise Belcher Patricks Labbit “Caching” Hier gibt’s jetzt ganz klammheimlich Tipps auf die Backe wie man YouTube Videos und Audio runterladen kann. jDownloader 2 *videonumber* - *channelname* - *videoname* - *date_time[yyyy-MM-dd hh:mm]*.*ext* youtube-dl Die Binary findet Patrick auch super und schiebt hier mal was aus seiner .bashrc rein: ## YouTube-DL alias yt='youtube-dl' alias tyt='torify youtube-dl' alias yta='youtube-dl -f bestaudio' Andreas nutzt das ganze über ein Keyboard Maestro Macro: Andreas sein Download YouTube Video Macro Clients Eher offizeller Natur sind da Apps für YouTube. Andreas befindet diese Auswahl für “aktuell als gut”: FoxTube 4 Mac und iPad Version kommen leider beide nicht i, FoxTube 4 iPhone Look daher. FT4 auf dem iPhone zeigt wo es design-mässig demnächst hingeht. In Andis Videotestbude ist FoxTube “der YouTube-nativste” Player den er bisher gefunden hat. Leider kann kein Client die YouTube History füttern. ProTube Ging gerade durch die Presse. Der Player selbst ist bisschen “doof”. Die App ist an sich aber schon gut mein unser Video-Apostel. nPlayer Über Plex geht’s wohl auch, aber Andreas findet nPlayer cooler in der Bedienung. Deshalb hat er das Ding ja auch mal gepickt. Was uns zum letzten Punkt auf der Agenda führt…. Unsere Picks Andreas: Audio Hijack 3 Da der Großteil des Cockpits die-hard Fans von Audio HiJack sind, gibt’s Extra-Links: Andreas hat eine Review am Start und dann gibt’s da noch eine eindrucksvolle Review die HiJack unter dem Blickpunkt Accessibility beleuchtet. Sven: FujiFilm X100T für 1.199 Steine. Patrick: Due 2 für 4,99 €. In Spenderlaune? Wir haben Flattr und PayPal am Start und würden uns freuen.

Unsere Flugmaschine nähert sich dem Polar um einen Zwischenstopp beim dort ansässigen Rauschebart und Liebhaber des roten Samts zu stoppen. Dem Guten gehen nämlich die Ideen aus und deshalb müssen die Piloten ihm wahnsinnig gute Geschenkideen ins Diktiergerät husten. Unsere Flugmaschine nähert sich dem Polar um einen Zwischenstopp beim dort ansässigen Rauschebart und Liebhaber des roten Samts zu stoppen. Dem Guten gehen nämlich die Ideen aus und deshalb müssen die Piloten ihm wahnsinnig gute Geschenkideen ins Diktiergerät husten. Nun, eigentlich hatten sie keine Wahl… denn sonst hätte es die Rute gegeben. Doch wie dem auch sei, daraus ist dann die Über-Mega-Pick-Show entstanden, welcher ihr heute andächtig lauschen dürft. Lieber Fluggast, wenn dir das Gehörte gefällt oder dir Sorgenfalten auf die edle Stirn fabriziert, dann haben wir etwas für dich: iTunes Bewertungen. Übersicht Die folgende Tabelle ist nicht chronologisch sortiert, sondern… so wie’s da drunten steht… nach Picker. Die Mega-Pick Übersichtstabelle inklusive Timecodes Gadgets Mac Apps iOS Apps Web Services oder Skripte Verschiedenes Sven Logitech Keys-To-Go (00:17:00) SuperDuper (00:37:40) Newsify (01:01:10) Trello (01:23:20) Trove (01:36:15) Quadcopter Blade Nano QX (00:24:40) Mailbox (00:46:40) Space Age (01:08:15) Kirby 2.0 (01:26:00) Stelton Pure Black Messer (01:40:40) Jawbone UP3 (00:31:20) Desk (00:56:30) das Referenz (01:18:18) Slack (01:30:20) Soulra FRX3 Kurbelradio mit USB-Ladeausgang (01:44:00) Patrick Sennheiser MM-550 (00:19:15) Airfoil (00:42:20) Voice Dream Reader (01:03:20) FileBot (01:20:00) Reosmods Reo Grand (01:32:00) Tom Bihn Ristretto (00:26:45) iTerm 2 (00:48:25) Due (01:10:00) BitTorrent Sync (01:24:50) Walter Moers - Stadt der Träumenden Bücher (01:38:00) Maglus Stylus (00:32:30) Asepsis (00:54:30) Nuzzle (01:14:40) Pow/Anvil (01:28:40) Sunflex snakebyte power:cub (01:44:00) Andreas Merkur Progress (00:28:45) Highland (00:40:00) Pinnacle Studio (01:08:15) Appbot (01:21:40) Fully Present, The Science, Art, and Practice of Mindfulness (01:34:30) Türreck (00:34:00) Minecraft & Feed The Beast (00:44:40) Decim8 (01:11:15) Subtle Patterns (01:27:20) The War of Art - Steven Pressfield (01:42:30) Amadeus Pro (00:51:00) Outread (01:16:10) Neckar (01:49:30) ffmpeg (00:58:18) Link zum Bild: Aluhut Überbleibsel BEKANT Stehtisch Die elektrisch verstellbare Variante des von Patrick gepriesenen BEKANT sucht man leider — wie letzte Woche in den Show Notes schon angekündigt — auf der IKEA Website vergebens. Die Kommentare unter diesem Engadget Review sind da ganz aufschlussreich. Sieht so aus, als wenn ihr dieses Jahr keinen Weihnachtsbaum mehr auf den BEKANT Tisch stellen könnt. No notifications setup Andreas berichtet von seinem Zero notifications Experiment. Die Kurzfassung des Verlaufs: Er hat alle Notifications gelöscht, es dann doch nicht ganz ohne das geliebte Gebimmel ausgehalten und ist jetzt mit einer abgespeckten Variante Unterwegs. Die lange Version gibt es hier auf MOSX Tumblelog. Patrick hat nach dem Neuerwerb des letzten iPhones auch einmal ganz von vorne angefangen… aber mit der Minimalausstattung von 19 Notifications von Andreas kommt er bei weitem nicht mit. Omelette-Challenge Der amtierende und neue Omelette King sagt: … blubb, blubb, wabbel, wabbel, DANKE für euren Support. Omelette King Link zum Bild: Eierkopf Hier ist das stolze und durchaus eindeutige Ergebnis, welches gewisse Piloten in der Nacht immer noch schweißgebadet aufschrecken lässt. Nein Sven, es war kein Traum, das ist die bittere Realität. Link zum Bild: Wer ist der Omelette King? Nachspann: Da Andreas es nicht kennt mit der gewonnen Lebenszeit durch eingedampfte Benachrichtigungen 11 Minuten über hat ↓ Überschallneuigkeiten ScreenFlow 5 Ich kann ein bisschen über ScreenFlow 5 klagen. Das 5er ist schon gar nicht mal so gut. Andreas Zeitler Das ist die Quintessenz. Andreas als Profi-Bildschirm-Verdigitalisierer sieht die Bug-Tötungsliste und Wunschliste nicht erfüllt mit SF5. Sven findets’ trotzdem gut für den Hobbyhandwerker und Patrick stimmt da im Prinzip zu, auch wenn er sich mit den 10% Studentenrabatt schwer tut beim Erwerb… dürften gerne auch 20% sein von seinem Geldbeutel aus gesehen. Gadgets Hier gibt’s was zum anfassen. Logitech Keys-To-Go (Timecode 00:17:00) Klein, handlich, Spritzwasser-geschützt und in mehreren Farben erhältlich: Logitech’s Keys-To-Go. In Kürze für knapp 70€ im Handel. Link zum Bild: Keys-To-Go Alternative: myType™ Pocketable Bluetooth Keyboard for Phones & Tablets by myType™ Keyboard Sennheiser MM-550-X (Timecode 00:19:15) Sennheiser MM 550-X TRAVEL Nicht erschrecken da das Ding 350 € neu kostet. Denn ab 180 € gibt’s den schon gebraucht. Im übrigen hat sich kaum was zum Vorgänger Modell, dem MM-550 (ohne X), geändert. Hier noch einmal eine formschöne Tabelle mit den Hard-facts von Patrick: Der hat Klang! Selbst bei Bluetooth = Das Kaufargument schlechthin, wenn’s Bluetooth sein soll. ca 7m Reichweite Der ist komfortabel zu tragen – getestet gegen unzählige andere Kopfhörer. Patrick selbst hat daheim 3 Modelle und existiert quasi nur mit Kopfhörern auf dem Schädel (… auch Daheim). weich gepolsterten Kopfbügel + extra große Ohrmuscheln einen angenehmen Tragekomfort (trotz) geschlossene Bauweise Laufzeit: bis zu 20 Stunden Angegeben ein paar Jahre auf dem Buckel Hörbücher/Podcast ca. 12 Stunden Ersatzakku würde 40 € kosten hochwertige Haptik wireless oder Kabel widerstandsfähig, faltbar Spielereien: SRS WOW HDTechnologie - Räumliches Klangbild… bei Hörspielen ganz nett Aufgeladen wird über USB Nachteile Kann nicht parallel mehrere Bluetooth Verbindungen aufbauen. Mac abmelden, iPhone anmelden Noise Canceling gut, aber nicht top. Bose ist da der Chef. Quadcopter Blade Nano QX (Timecode 00:24:40) Die perfekte Einsteiger Drone: Quadcopter Blade Nano QX für ca. 80€ bei Amazon. Link zum Bild: Drone Im großen Wirecutter Review als Übungsgerät empfohlen, bevor man dann eine 800€ Drone auf das Kirchendach oder in den Teich setzt. Fast alle Einzelteile einzeln und günstig nachzubestellen (Rotoren, Motoren, Gestell). Sehr robust und gut zu steuern. Kommt als Ready-to-Fly (RTF) mit Fernsteuerung. Für alle Dronen-Einsteiger oder Interessierten empfiehlt sich noch dringend die Lektüre von Paul Stamatiou’s “Getting Started with Drones”. Tom Bihn Ristretto (Timecode 00:26:45) Eigentlich kann man alles von Tom Bihn bestellen – qualitätstechnisch sind die echt super. Nur die Liefergebühren und der Zoll bereiten einem Bauchscherzen. Sein 11″ MacBook Air hat Patrick nicht mehr, aber die passende Ristretto Messenger Tasche (ab $110) leistet ihm noch treue Dienste. Egal was man jedoch bestellt, das wichtigste Upgrade ist der “Absolute Shoulder Strap”. Und für Fahrradfahrer ist das superhelle Guardian DF Light eine echte Empfehlung von Patrick. Die Batterie hält übrigens eine gefühlte Ewigkeit. Link zum Bild: Licht Review für Leser: Tom Bihn Ristretto MacBook Air bag Mark II Review für Glotzer: Merkur Progress (Timecode 00:28:45) Link zum Bild: Merkur Andreas schwört auf den Merkur Rasierhobel Progress 500. Das Ding sieht zwar antik aus, kann aber leicht verstellt werden und die Stufen sind somit anpassbar an eure derzeitigen Vorlieben und Hautbegebenheiten. Die passende Slideshare hat Andreas dazu schon gehalten auf einem Barcamp, deshalb gibt’s hier für euch nun “Die perfekte Rasur”: Die perfekte Rasur from Andreas Zeitler … inklusive dem passenden Gist. Jawbone UP3 (Timecode 00:31:20) Der Puls wird einbezogen und dadurch gibt’s wohl auch sowas wie eine flexible Weckzeit, welche Sven be-geist-teeeeeert. Vorbestellt werden kann der Spaß für 180 €. Link zum Bild: Up Applydea Maglus Stylus (Timecode 00:32:30) Nach der Studie von The Verge entschied sich Patrick damals dazu seiner Freundin den Maglus zu schenken. Heute belegt er dort immer noch den Platz 1 unter den Allroundern. Das Ding ist so gut, das er es sich dann 2 Jahre später selbst einen eigenen gekauft hat. Highlights: Magnetisch auswechselbare Spitze Die Spitze ist übrigens das Beste an dem Stylus. Wie er in der Hand liegt das Zweitbeste. Adonit’s Jot Pro hat es bei Patrick keine 2 Wochen ausgehalten, dann ging das Ding “return to sender”. Die anderen Stifte die Patrick ausprobiert hat sind nicht der Rede wert. Der Pencil ist jedoch immer noch sein Backup-Stylus. Dieser hat aber einige gravierende Schwachstellen, so findet der Verbindungsaufbau oft einfach nicht statt und frustriert wird dann zum Lieblingsgerät gegriffen, was halt nicht die neuen Features des Pencil’s hat. Das andere Problem, wenn er denn mal Verbunden ist, ist die Wisch-und-Schmier Funktion. Die wird nämlich immer dann spontan ausgelöst, wenn man sie gar nicht braucht. Hier noch mehr Meckerei, aber von jemand Anderem: The prices are truly insane for such a shitty product, for that kind of money I’d say it’s worth to buy a Wacom bamboo and get a ton better performance on your coffeshop creative session. Serious cash for a stylish pen with quite a few quirks and a best case bulky-crayon sketch feeling. Either a Wacom bamboo digitizer or the Adobe ink kit. CRKT Türreck (Timecode 00:34:00) Link zum Bild: Türreck Ob @Zettt’s Kettler Türreck Multi oder Patrick’s Powerbar 2… dieser Pick sollte euch wieder hochziehen, wenn ihr gerade down seid. Powerbar 2 Demonstration from Innovation Fitness on Vimeo. Doch genug der schlechten Wortspiele, jetzt geht’s zu den… Mac OS X App Picks … und die sind einfach… SuperDuper (Timecode 00:37:40) Die kostenfreie Version von SuperDuper! ist echt gut… kann zum Beispiel auch bootbare Backups erstellen. Das wusste Patrick noch nicht. Der kennt nur 24,68 €, welche auch steuerbare Backups erlaubt. Highland (Timecode 00:40:00) “Distraction-free screenwriting” gibt’s mit Highland für 26,99 €. Andreas will damit eure kreative Ader fördern. Dazu passend ein 1½ Minuten langer Stummfilm: Highland Promo from Quote Unquote Apps on Vimeo. Airfoil von Rogue Amoeba (Timecode 00:42:20) Die Streaming-Wahl von Patrick, wenn es darum geht Sound vom Mac ans iPhone zu schicken oder umgedreht. Das ganze kostet $25 für den Mac, bzw. Airfoil Remote für iOS gibt’s schon ab $5. Warum das so cool ist für Podcasts hat Patrick hier beschrieben. Mittlerweile haben Pocket Casts und Overcast auch web player – weshalb Patrick’s Methode tendenziell weniger zum Einsatz kommt. Trotzdem, nur so kann er Smart Speed von Overcast auch am Mac nutzen ohne Kopfhörerwechsel. Minecraft bzw. Feed The Beast (Timecode 00:44:40) Von Puzzlern, bis überleben, bis… was weiß die Redaktion. Andreas spielt’s und sein Zockerherz lacht freudestrahlend. Minecraft Modpacks: Direwolf20 | Feed the Beast Mailbox for Mac (beta) (Timecode 00:46:40) Zur Zeit nur GoogleMail und iCloud. Mehr Protokolle und Provider sollen folgen. http://www.mailboxapp.com iTerm 2 (Timecode 00:48:25) Der Terminal-Ersatz names iTerm2 kann… 256 colors for vim slide-out shell Split views shortcuts für SSH Verbindungen suche (in der aktuellen session), selbst mit Regex hochgradig konfigurierbar themes für verschiedene Verbindungen iTerm2 supports user-defined triggers keybindings, regex-Magie ↓ iTerm2 supports user-defined triggers, which are actions that run when text matching a regular expression is received. You can use it to highlight words, automatically respond to prompts, notify you when something important happens, and more. PS: Über das Uberspace-Drama hat Nils K. hier was geschrieben. Amadeus Pro (Timecode 00:51:00) Das Urgestein schlechthin in Sachen Audio-Editing für $60. Vor- und Nachteile direkt im Podcast. Asepsis (Timecode 00:54:30) Asepsis (von Binary Age) ist ein System Helferlein, welches die Erstellung von .DS_Store Dateien unterbindet Funktionsweise: Installiert einen daemon und legt die .DS_Store in /usr/local/.dscage an. Ergebnis: Sauberer Finder (gerade als Path Finder Nutzer sehr angenehm. Auflistung: Was alles in .DS_Store Dateien gesammelt wird. Metadaten halt… Position der Icons, Ansichtseinstellungen vom Finder Fenster und noch ein paar Schmankerl aus dem Inspektor. Wollt ihr wissen warum .DS_Store ein Kacklösung ist, dann hier weiterlesen. Tipps: Löscht alle .DS_Store in einem Ordner (auch global auf die Root Partition anwendbar, einfach statt ./ nur / schreiben). sudo find ./ -name ".DS_Store" -depth -exec rm {} ; Aber… wir installieren ja so ein Tool, damit wir es einfacher haben. Statt löschen heißt es umziehe: asepsisctl migratein Danach könnt ihr per find . -iname .ds_store ob das auch gefruchtet hat. Übrigens könnt ihr das erstellen dieser Dateien auf Netzwerk Datenträgern (z.B. alles was per USB angeschlossen wird) komplett unterbinden: defaults write com.apple.desktopservices DSDontWriteNetworkStores true Klar gibt’s auch ne’ Warnung: 1x bei Binary Age 1x bei Apple: “Get Info Comments May Not Appear for Remote Volumes” Desk (Timecode 00:56:30) Für 26,99 € gibt’s Desk, einen minimalisitschen Blogging Client, von Sven empfohlen. Eine veritable Konkurrenz zu MarsEdit. Minimalistischer Desktop Writing und Blogging Client. Unterstützt folgende Plattformen: Wordpress (selbst gehosted und Wordpress.com) Blogger Tumblr Squarespace Movable Type Typepad Facebook Notes ffmpeg (Timecode 00:58:18) Nach dem Urgestein für Audio-Editing gibt es jetzt von Andreas das Gegenstück zum Video konvertieren auf der Kommandozeile. Ein echtes Schmuckstück, welches im übrigen fast jeder Video-Konverter nutzt. iOS App Picks Newsify (Timecode 01:01:10) Sven ist begeistert vom Zeitungslayout dieses RSS readers. Co-Pilot Patrick spamt derweil seine Meinung in den Chat. Link zum Bild: Newsify Fan Wer mehr Drama will, muss reinhören. Voice Dream Reader (Timecode 01:03:20) Quelle: Voice Dream für 8,99 € (eine Lite Version zum Testen gibt’s umsonst). Gute Stimmchen ((im Podcast auch live)): Deutsch: Julia (Acapela) 1,79 €/Hans (Ivona) 4,49 € UK Englisch: Emma (Ivona) 4,49 €/Brian (Ivona) 4,49 € Alternative die nicht wirklich Alternativen sind: NaturalReader for Mac $69.50 NaturalReader Cloud $99/Jahr für Web App, iOS & Android Apps naltatis/instapaper2podcast Pinnacle Studio (Timecode 01:06:45) Video Editing auf iOS. 8,99 € für’s iPhone und 11,99 € für das iPad vom Avid Ableger Pinnacle. Andreas’ Empfehlung für um schnell Mal Live-Dokumentationen zusammenzuschrauben. Space Age (Timecode 01:08:15) Patrick’ jauchzt-heult im Hintergrund als Sven seinen hervorragenden 3,59 € Pick vorstellt. Die Vorfreude ist groß bei ihm, denn Sven redet allen den Mund wässrig. Due.app (01:10:00) Der beste Timer unter iOS ist für 4,49 € erhältlich. Das Hammerfeature schlechthin - neben einem exzellenten Support von URL schemes: Die nervigen Erinnerungen die erst aufhören sich zu wiederholen, wenn man sich drum kümmert. Decim8 (Timecode 01:11:15) Decim8 kann für 1,79 € professionell eure Bilder zerstören. Wenn das kein Pick ist, dann weiß die Redaktion es auch nicht. Ein artverwandter Nachtrag von Patrick findet sich hier bei den Münchnern von Spektrum 44 (in Form von Wallpapers für’s iPhone 6). Nuzzle (Timecode 01:14:40) Nuzzle gibt euch ein personalisiertes Best of Retweets für euer Twitter. Kostenlos für iOS und im Web. Alternative web app: Vellum Outread (Timecode 01:16:10) Bei Outread sagt Andreas “Finally a Speed Reading App That Understands Speed Reading””. das Referenz (Timecode 01:18:18) Das Referenz: Wikipedia für 4,49 € für Sven die Wikipedia app. Web Apps oder Skripte FileBot (Timecode 01:20:00) FileBot - The ultimate TV and Movie Renamer / Subtitle Downloader. Der Name ist Programm, es gibt keine Gott, außer Bela, Farin, Rod FileBot. Appbot (Timecode 01:21:40) https://appbot.co Trello (Timecode 01:23:20) Super Listen-Organisierer mit dem nach noch suparara kollaborieren kann. Sven bevorzugt Trello gegenüber Asana und Co. Patrick findet die Touchsteuerung auf iOS sehr gelungen. BitTorrent Sync (Timecode 01:24:50) Sync ist Patrick’s neuster Held auf allen Plattformen: überall verfügbar schnell Ordern frei wählbar und ultra-konfigurierbar Kirby 2.0 (Timecode 01:26:00) PHP-Programmierer Sven F. nutzt Kirby um seine Blog rauszuhauen. Deshalb gibt’s das datenbanklose CMS auf Ordnerbasis empfohlen. Kostenlos testen, privat nutzen für 15 € oder geschäftlich für 79 €. Subtle Patterns (Timecode 01:27:20) http://subtlepatterns.com Dort gibt’s Hintergrundmuster für euch. Schlicht und einfach schön. Ein Photoshop-Plugin gibt’s auch gegen bare Münze. Pow (und/oder Anvil für den Mac) (Timecode 01:28:40) Zero-configuration Rack server for Mac OS X Kommandozeile: Pow GUI Version: Anvil for Mac - Run your sites locally Andreas wirft noch Vagrant mit rein, von dem er letztens gehört hat. Das kann allerdings noch viel viel mehr. Slack (Timecode 01:30:20) Slack ist der Hammer, wenn es um Anbindungen von anderen Web Apps und Co. geht. Das ganze ist unglaublich gut beim kollaborieren. Klare Pilotenempfehlung. Viel zu gut für kostenlos laut Patrick. Aber weil mehr Zahlen will hat folgende Optionen: Link zum Bild: Slack … über die er sich auf der offiziellen Webseite weiter informieren kann. Verschiedenes So… jetzt geht’s in zeitlerische Gefilde. Reosmods (Timecode 01:32:00) Dampfen ist teuer, weil man viel zu viel ausprobiert. Jeden Tag kommt was neues von irgendeinem Tüftler und wird gehypt ohne Ende. Zudem gibt’s noch jede Menge schlechter Tips. Damit will Patrick jetzt eine Ende machen, denn Reosmods ist der heilige Gral. Punkt. Satzende. Link zu größerem Bild: Reos Die Webseite ist ein Graus, aber ihr packt das schon: reosmods.com Den Mod gibt’s ab $146 … oder um die 80 € gebraucht. Anleitung zum bestellen: Auf “Shop > Mods” klicken Eine Low profile Reo grand und/oder eine Low profile Reo Mini raussuchen Auf “Shop > Rebuildable atomizer & supplies > Rebuildable atomizer & supplies” klicken Dort einen low profile Reomizer (2.0) nehmen und wohl fühlen. Kanthal A1 32 gauge mitbestellen und es glühen lassen. Vielleicht noch Ersatzmagneten für die Tür mitbestellen und ein paar Dichtungsringe. Bei Akkuteile eine VTC5 ordern. Warten auf die Post. Dampfen. Wer geduldig ist warten noch ein, zwei Monate, den dann gibt’s ein revolutionäres neues 510er Gewinde mit oben drauf vom Modvater Rob. Informationsbedürftige schauen bei Germanvapers im REO Talk vorbei. Hier Patrick’s Dampfer-Werdegang: Im Jahre 2010 war ich bereits 5 Jahre Nichtraucher. Aber habe so einiges vermisst: Rituale und Wolken pusten. Im Oktober 2010 stolperte ich über “Vaping”. Natürlich habe ich vorher schon einmal von der E-Zigarette gehört, aber die richtige Informationsflut habe ich erst dann auf mich einstürmen lassen, da mich Alternativen zu gängigen, super-teuren Vaporizern interessiert haben – ja, die Dinger die meistens zum Gras rauchen benutzt werden. Die Entscheidung viel positiv für’s Dampfen aus und ich ging von einer Totally Wicked Ego zur europäischen Ego, und dann immer weiter von Ego zu Ego. Vier Stück an der Zahl sollten es werden. Irgendwann kamen die ersten Tanks und ich habe eine Menge durchprobiert. Da die Ego’s nach einer Weile ziemlich ermüdend sind, wenn man viel dampft, bestellte ich mir rund ein Jahr später eine schwarze ProVari, welche mittlerweile - dank eines Defekts - auch einen V2 Chip drinnen hat und mich mit grünen LED’s anleuchtet immer wenn ich auf “FEUER” drücke. … okay nicht ganz die Wahrheit. Kurz nach der Ego hatte ich noch eine schwarze Silver Bullet die mir 6 Monate vor der ProVari treue Dienste leistete. Es folgten noch mehr Tanks, ein Versuch mit dem Bulli A1 und dann wieder Tanks. Letzten Endes war ich nie zufrieden mit Tanks…. Entweder der Geschmack ließ zu wünschen übrig (z.B. mag ich Carto’s überhaupt nicht) oder die Dinger sifften nach einer Weile. Frei nach dem Motto “Back To The Roots” wurde ich zum überzeugten Tröpfler und auf die ProVari kam ein eBaron The Dripper. Bis vor ein paar Monaten fand ich dieses 1-2-3 Setup relativ entspannt und gut. Doch dann… … dann entdeckte ich die Bottom-Feeder. Ich bestellte mir einen goldigen VV Reo Grand. Von der Benutzerfreundlichkeit und der Akkulaufzeit eine wahre Erleuchtung. Geschmacklich ebenfalls Oberliga. Auf das schmucke Stück kam dann ein eBaron The Spiral und gut ist…. Der Reo gefiel mir so gut, dass ich vor 2 Wochen überlegte, mir noch einen zu ordern, um nicht immer warten zu müssen, bis die 6 ml Flasche leer ist, bevor ich mal den Geschmack wechsele. Bevor ich aber noch einen in die Jahre gekommenen Mod bestellte, dachte ich bei mir: Informiere dich vorher noch einmal. Gesagt, getan. 2 Wochen Recherche und viele Rip Trippers Videos auf YouTube später viel die Entscheidung es noch einmal mit einem RDA zu probieren. Rip Trippers hat mir das schmackhaft gemacht und die Vorteile (in kurz: mehr Geschmack, mehr Dampf, mehr Rituale, mehr Optionen) aufgezeigt. Zudem ist mir die Nerdigkeit von dem Kerl sehr sympathisch - ich bin da genauso, wenn auch mit Computern und Skripten. Fully Present, The Science, Art, and Practice of Mindfulness (Timecode 01:34:30) Von Ω zu Ommm. Was für Körper und Geist gibt’s hier von Andreas empfohlen: http://marc.ucla.edu/body.cfm?id=60 Trove (Timecode 01:36:15) Minimalisten Geldbörse. So fern man nur mit Karten im klassischen Kreditkartenformat und ein paar gefalteten Geldscheinen klarkommt ist Trove nicht nur ein sehr kleines, sondern auch sehr cleveres “Geldbörs’chen”. Sven schwört jeweils darauf und hat sich mittels Kickstarter-Kampagne gleich eines der ersten Exemplare gesichert. Hergestellt von einer der letzten britischen Lederfabriken gibt es Trove ab 30 GBP/ca. 38 EUR. Walter Moers - Stadt der Träumenden Bücher (Timecode 01:38:00) Walter Moers - Stadt der Träumenden Bücher (Hildegunst von Mythenmetz) Genre: Fantasy Autor: Walter Moers Denkt sich allerlei Figuren und Charaktere fernab von Humanoiden aus, welche alle im Mikrokosmos Zamonien zu Hause sind. Gerade für Kenner der klassischen Literatur auch auf der Metaebene sehr geil. Vergleich: Jasper Fforde’s Thursday Next Serie wo in die Welt der Bücher hineingegangen wird. Hier genauso nur ganz anders. Protagonist: Hildegunst von Mythenmetz, ein fetter, arroganter, in sich selbst verliebter Autor, der keinerlei Kritik an seinem Werk duldet (Dinosaurier). Anbei ein Gedicht von einem anderen Schriftsteller in Roman selbst… als Meta… keine Angst… das Buch ist normal geschrieben. Bin schwarz, aus Holz und stets verschlossen Seitdem mit Stein sie mich beschossen In mir ruh’n tausend trübe Linsen Seitdem mein Haupt ging in die Binsen Dagegen helfen keine Pillen: Ich bin ein Schrank voll ungeputzter Brillen Danzelot von Silbendrechsler Stelton Pure Black Messer (Timecode 01:40:40) Sven schwört auf sein Stelton aus schwarzem Stahl. Die gibt’s zwischen 80 und 90 Euros. The War of Art (Timecode 01:42:30) Steven Pressfield’s Buch kämpft mit euch um Kunst und das Schreiben von Büchern gegen kreative Blockaden und Co. Creative work is not a selfish act or a bid for attention on the part of the actor. It’s a gift to the world and every being in it. Don’t cheat us of your contribution. Give us what you’ve got. Steven Pressfield, The War of Art Soulra FRX3 Kurbelradio mit USB-Ladeausgang (Timecode 01:44:00) So… es ist soweit… nach nur 17 Folgen kommt nun der erste Zeitler-Pick in Reinkultur… dieses Mal aber von SVEN. Mein Gott… es färbt ab. “K-U-R-B-E-L-R-A-D-I-O”. Das muss man sich auf der Zunge zergehen lassen. Sven’s Überleitung ist “BLACKOUT - Morgen ist es zu spät” von Marc Eisberg lesen. Danach ist nämlich ein Kurbelradio mit Solarpanel und der Möglichkeit der autonomen Geräteaufladung ein “Minimalinvestment”. Patrick zieht bei so viel Fnords direkt mal den Aluhut auf, um auf der sicheren Seite zu sein. Link zum Bild: ALU-SCHUTZ Währenddessen kramt Andreas sein Minimalinvestment aus dem Keller und sorgt für kurbelnde Erleuchtung. Link zum Bild: Kurbellicht Egal. Sven hat nach nächtelanger Recherche das Soulra FRX3 Kurbelradio als eines der Besten Minimalinvestements (dieses mal franz. betont lesen) herausgefiltert. Für schlappe 70€ gibt’s das bei Amazon und der nächste Blackout wird zur Gaudi… fehlt nur noch Dosenwurstsuppe im Zwölferpack… aber die pickt er bestimmt nächste Woche. Sven hat auch noch eine authentische Top-Bewertungen bei Amazon ausgegraben die ihn restlos vor dem Kauf überzeugt hat: ★★★★★ Tolles gäret Ich habe das gäret gekuaft uber shop hat super klang mit diesem gäret können sie handy aufladen mit aux ausgang können sie ihe mp3 oder handy verbinden und music horen und kann 3 fach aufladen mit usb uber strom mit solar und…. ja bei mir ein super gäret Patrick als alter Linguist sieht da eher seine nächste Mission. Und zwar den Bildungsauftrag seinem Co-Pilot einen der schönsten deutschen Dialekte näher zu bringen: .embed-container { position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; } Kiezdeutsch - “Isch geh Prinzenbad” Sunflex snakebyte power:cub (Timecode 01:48:00) Ein schicker Verteiler in Würfelform. Sunflex snakebyte power:cube Extender Universal. Konkurrenz allocacoc PowerCube wurde von Patrick zurückgeschickt: 0,5 Ampere = zu wenig Most, der snakebyte liefert 2.1 Ampere. Alternative: Nur USB? Billig muss es sein? Anker® 40W 5V / 8A 5-Port USB Ladegerät mit PowerIQ Neckar (Timecode 01:49:30) So wie es sich anhört freut sich Sven mit seinem JAWOHL!! mehr über den Pick von Andreas als dieser selbst. Die Nachricht ist jedoch simpel: Geh’ mal an die frische Luft, oh Hörer. In Spenderlaune? 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This week on Awesomecast 200, we talk the latest and most awesome things going on in the world of technology as we record LIVE at Slice on Broadway! Thank you for hosting our historic night! We take a peak back at the history of the show and how we started Rob catches us up on some of the cool new tech he's working on including fireworks from your iPhone! Find more cool stuff at Ion Tank's web site! We talk Google Plus Stories, and how they scare Doug Rob talks about AirFoil for extending your audio through your home Cynthia talks AirDisplay for extending your desktop to your phone Doug talks about how his Droid update stinks We look at the solar roadway that could change what we're driving on and the exciting world of concrete We look at the Reading Rainbow Kickstarter that is raising money as we watch We look at Friends teaching us Windows 95 After the show remember to: Eat at Slice on Broadway if you are in the Pittsburgh area! It is Awesome! (sliceonbroadway.com) Follow this awesome cast on Twitter: @awesomecast, Mike Sorg (@sorgatron), Rob de la Cretaz (@robjdlc), Cynthia Closkey (@cynthiacloskey) and Doug Derda (@SIDT) Also, check out sorgatronmedia.com and awesomecast.com for more entertainment; and view us live streaming Tuesdays at 6:30 PM EST!

In this podcast, David Woodbridge gives a demonstration of Airfoil for Mac, an application that allows you to play audio on multiple AirPlay devices simultaneously. Send any audio from your Mac to AirPort Express units, Apple TVs, iPhones and iPod Touchs, and even other Macs and PCs, all in sync! Use Airfoil with web-based audio like Pandora, music services like Spotify, Rdio, MOG, and WiMP, or any other audio playing on your computer. Airfoil for Mac gives you your audio on AirPlay devices all around the house. Airfoil for Mac can be purchased from the Rogue Amoeba website for $25.

Veckans Nyheter Untethered Jailbreak 5.1.1 till alla iDevices är här i form av Absinthe. Men ska man egentligen jailbreaka och i så fall varför?Läs mer --> Nya reklamfilmer: Siri fortsätter att frotera sig med kändisar. Läs mer --> Men förstår Siri egentligen vad Samuel L Jackson säger?Läs mer --> Michael har förälskat sig i en vibrerande penna till iPhone. Men är han man nog att hantera en stulys?Läs mer --> Apple har kastat ut Rogue Amoebas app Airfoil Speakers från AppStore utan någon riktig förklaring. Vad ska det vara bra för?Läs mer --> Veckans Snackis Facebook och Mark Zuckerberg köper Instagram för $1.000.000.000 ena veckan för att nästa släppa en kopia i form av Facebook Camera nästa. Hål i huvudet eller ett genidrag?Läs mer --> Veckans Spel Jakob tipsar om spelet Ski Safari till iPhoneSe Michaels videorecension eller ladda ned appen Veckans Produktivitetstips Trött på att iMessage inte funkar som det ska? Calle tipsar om en lite udda lösning som involverar Textredigeraren, Pastebot och WhatsApp. Veckans iOS tips Michael tipsar om hur du tar bort de förinstallerade apparna från din iPhone eller iPod utan att Jailbreaka. Aktiekurserna, de får du dock dras med. Följ #AppSnack på Twitter @apptvse, Facebook eller surfa in på AppTV.se. Du kan även lyssna på programmet som podcast via iTunes eller ladda ned som mp3. Thumbnail photo by Bocadorada (Flickr) [CC-BY-SA-2.0 (http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons

Tim Robertson and David Cohen discuss David's week-long love affair with his Greece Stomach Virus, the iHome Genuine Fit Case for the iPad, HP and the Enyo team, SpaceX, Airfoil, Facebook stock, the confusing state of PSP games on the PSVita, and the wonderful Because We May sale. Wow, what a long sentence!

Apple TV und DVD Jon sind die Themen des heutigen Tages, außerdem stelle ich noch einige Programme vor, die entweder neu erschienen sind oder aktualisiert wurden, seht selbst: Changes.app Airfoil für Mac und Airfoil für Windows Relationship 1.1 DTerm OmniPlan Macinme Daily #28 Download

Bár már adtam hírt ennek a programnak a létezéséről itt, mégis fontosnak éreztem a működését bemutató videót podcastként is közzé tenni. Sokan gondolják úgy, hogy az Aiport Express csupán az iTunessal képes együtt működni. Pedig ez nem igaz! Akár filmek hangját is könnyedén ki streamelni rá. Kezelése pedig egyszerű és nagyszerű, mint többnyire minden Macintoshos […]

MWSF06 - Ep#2 - Brenthaven, RealMac Software, Rogue Ameba, Shure, Boinx Software and Jambo Networks