>> Narrator: Live from Nice, France. It's theCUBE, covering .NEXT Conference 2017 Europe. Brought to you by Nutanix. Hi, I'm Stu Miniman and this is SiliconANGLE Media's coverage of theCUBE at Nutanix .NEXT in East Frant. Really excited to have on the program Rob Lloyd who is the CEO of Hyperloop One. Off of the keynote this morning Rob, thank you so much for finding time to join us. It's great to join you. So, it's interesting. I've been watching Hyperloop since the day one when it got announced. I'm study mechanical engineering. So transportation's something I looked at. But I've been in the tech world. I knew you back from your Cisco days. When I talked to some friends of mine that didn't know about Hyperloop, you kind of explain it was like, "Oh! Remember the bank pneumatic tubes? "It's like we're going to do that with people." And they're like, "That sounds crazy!" And then you say, "Well, Elon Musk is behind it." And they're like, "Well, OK, another Elon Musk thing "that's probably going to be near impossible, "but they will find a way to make it work." >> Rob: Mm-hmm. You talked a little about your journey in the keynote this morning, but let's start, Hyperloop One. Pre-revenue, give kind of a thumbnail of the company and where you are today. So it's a three year old company. Literally in a garage, in the very late part of 2014, our founder, co-founder, started on November 2nd. So, just an idea. A white paper that Elon wrote, which was the concepts of something very different. A new mode of transportation. Slightly outraged by the expense and archaic nature of the High-Speed Rail in California proposal. So, that's the starting point. A company that was founded, co-founded by Shervin Pishevar, a venture capitalist, and some brilliant engineer, Josh Giegel. Now, from that point, 300 people, 245 million dollars raised and just this summer, having only started on the designs, tested some concepts: a magnetic levitation, a custom-design linear electric motor, evacuating a tube to the equivalent of 200,000 feet above the Earth's surface. We built a full-scale prototype. 500 meters prove the tech is working, and the cool part is that the speed with which this engineering and development is occurring is like nothing else. So, it's kind of DevOps for hardware. And we saw what happened when people kind of went to Agile Development Methodologies. We saw it in tech. But it really hasn't hit the traditional methods of transportation, where people build in silos. They're not closely associated with a fabricator or a welder. And we have mechanical engineers working with fabricators working with welders, and you make amazing progress when you see that happen. You stated, it's been over 100 years since we had a kind of major new transportation model. The tooling that allows you to prototype this... I know, it's kind of, friend of mine, it's watching the space stuff and watching the videos that you put out. Everything from testing the engine, to the pod. If I remember, wasn't there a contest around the pods, too? Well, actually, yeah. The tools we have today, the analytics tools, the way we can model things, didn't exist when we did our first moonshots, when the United States said we're going to put a man on the moon and NASA was mobilized and the country was excited. We didn't have the tools we have today. So we have much, much better tools. We have methodologies and approaches that are not accepted everywhere but are embraced in our company. And you make things happen that were taking five years from an engineering perspective. And you can build a full-scale prototype in 10 months. That really changes the speed with which this can occur. Most people say this would take a decade. This is going to take three years. As I said, like other Elon Musk companies, you've got strong conviction at Hyperloop One. Some of the things that kind of skeptics come up with reminds me a lot of autonomous vehicles. "Ah, well, regulators are never going to let it happen, "and, gosh, safety." It's like "I'm putting software? "It's going to do this? We're going to be going at what speeds?" And you know, "How fast?" And all these things. How long's this going to take before its reality? Can you give us a little bit of that road map, as to how we make sure that once somebody actually goes in this, that they're not going to end up just completely flattened? So, the way that we're approaching this is actually different than the way in which most new technologies are regulated in transportation. We're going to partner with one or two countries. We're going to partner with the regulator while we're designing the commercial version of our technology. So while we commercialize, which is the next two to three years of our road map, we know the tech works. Now you build a commercial offer. You build the car. You build the pod. We will commercialize this. We're going to work with them now, so we don't come to them in three to five years and say, "Would you please certify this?" And in doing so, we actually bring a huge opportunity to the countries that go first. We ran a global competition, to kind of AKA Peter Diamandis, who's on our board, like the X Prize. We actually asked countries, "Who'd like to build the world's first Hyperloop?" 2,600 people registered. 100 serious submissions. Dozens of them are now real projects moving forward with government support. So, the short answer is, we have to do it differently. We're going to partner with a regulator while we're commercializing the tech. And then when we get there, of course you want it to be safe. Of course you'll need certification. But you do that now rather than later. And you'll end up bringing benefits to a country that chooses to go first. Did I hear right that the first solution is probably going to be in the Middle East? There is a good probability that's the case. The land is fairly flat. We can build along existing right-of-ways. There's massive investments in airports and ports there. Wherever there's a very dense transportation hub today, airports, downtown centers, connections to metro or train stations, that's where we want to put kind of a Hyperloop portals. So think of it as the backbone between two data centers. All the activity going on in the data center, we want to connect those high-density locations. But it's not just one-to-one. We can branch on and branch off. So it's sort of like point-to-point packet switching. One of the things that really excited me in your presentation that I didn't know as well is you talked about kind of the sustainability, the energy of this compared to other options, as well as the affordability. Something that really could help a lot of environments. Could you speak to those? Yeah, so... There is absolute science about the substitution rates that will go to a faster mode of transportation if the price is right. So, our model as we analyze opportunities around the world, in the United States, in Europe, Northern Europe, Canada, India, and the Middle East, where we see a lot of our projects today... If we price at the same price level of the current mode of transport, you'll get almost 100% conversion, because why not? Why wouldn't I go, in nine minutes, to Abu Dhabi from Dubai, instead of what could be a two-hour car drive? But why not price it for the ticket of a metro ride? Then you'll get really high ridership, high utilization. The economics of building infrastructure, a PPP structure that would bring private equity, debt, pension funds, sovereign funds together, to invest in that new infrastructure, that's how it's going to work. So that's the passenger case. And then on the freight side, you know, seriously, we forgot that this on-demand economy is based on a transportation network that effectively is 100 to 200 years old. Steel cans, right? This idea of a container was invented, a standard-sized container that goes on ships. The ships unload them in ports. They sit a couple of days. Then a truck puts it on the back, and they drive through our cities. Or it goes on the back of a train and takes seven to ten days to get to its consumer. That doesn't work anymore, in this world of Amazon, on-demand, Alibaba commerce. The only option they have is to pay for air freight, which is five to six times more than it would cost to carry those same packages and goods in a Hyperloop cargo system. Huge opportunity. Rob, speak about sustainability, kind of the energy required for this compared to other modes of transportation. We take some energy to remove the pressure inside the tube which obviously reduces resistance. It's an all-electric motor. Because we have little resistance and no friction, because we're floating on magnets, effectively floating on a magnetic cushion, once you're up to speed, you're pretty much gliding, like gliding in space. >> Stu: What speed do we think that'll be? Well, by the way, this really is, I'm being very candid, it depends on the route. It depends on how straight we can get a right-of-way. It depends on the levels, so flat and straight means you can go fast. If you're going to go 300 kilometers, we can go six, seven, eight hundred miles an hour which is faster than an aircraft. And obviously city center to city center, then we don't have the drive of an hour and a half, the vagaries of weather, and all that other stuff, which has made air travel for most of us just a somewhat demoralizing experience. So, solar power, wind power, and in some environments where we do have a lot of sun, we can just have the tube covered with solar panels and make the entire thing energy neutral, which is really, really amazing. A new mode of transportation that doesn't consume any energy. Yeah, maybe Elon can help with some of the solar stuff. Elon's got that stuff. How much is Elon involved? So he's not involved in our company. His idea, right? His brainchild. Our company was formed to commercialize that, and there are others that are now in this market. I think we're the leader. No, I know we're the leader. We've demonstrated the technology no one else has. And we're there. I mean, this is a go-for-it business. So we're going for it. Well you just had a new partnership with Virgin announced recently. So Richard Branson, you know... Yeah, so Virgin Hyperloop One, a brand that actually has been known for customer experience, thinking of the customer, delivering an experience, taking on the giants as he did with Virgin Atlantic, putting people into space now from a commercial perspective, as well as satellites. So think of his companies and transportation and how that brings comfort to governments and investors, that we're here to actually really make something big happen, and Richard's done that. He's a serial entrepreneur. And that brand typically stands for an excellent experience. Yeah. He has pretty good track record as a risk taker out there, too. Some of the extreme things that he had done, but absolutely, the comfort and the brand there... Pre-revenue, you said a couple of years until we're there, but you mentioned even that you've got kind of a pipeline of orders already, so sounds like-- Well the projects are big, so this is infrastructure. We won't be financing that. That will be done by people that find governments and pension funds and sovereign funds and insurance companies that invest in infrastructure. But if you take a look at the projects because they're big, they start with billions and they go up from there. So it's kind of fun to think that you're first order could be three billion. It's kind of neat to go from this pre-revenue stage to the size of projects that we'll have. That three billion will be spent on, some will be on contractors, some will be on infrastructure, but for us, the revenues that will come will be high margin. We're building a software platform that will connect with other modes of transport and manage the massive amounts of data we'll be collecting off the pod and the track, the headway between these vehicles, which could be as close as ten seconds traveling at that speed, and then obviously you've got to have a whole lot of control software and a whole IoT Platform built in. Last question I have for you. We're here at a technology show. Just throw out there: software, massive amounts of data, I've got to have the analytics going into it, and there, is the tech all ready? How's the industry doing to support some of these kind of moonshot-type of activities? High-speed networking is going to be a big deal for us. So we probably need kind of an evolution of 5G because we're moving so fast inside that enclosed area that we're going to need some radio technology to keep all of those devices connected. That's a little bit of a push. Listen, we're starting from scratch. So we have a clean sheet. So we have legacy to integrate. That's typically an advantage. We're not trying to do mechanical switching. We'll do a digital switch, which means you'll actually just bump a vehicle off onto an on-ramp and weave it back in with software, kind of like packets on the network. But clean sheet. I think we have tools required to do everything that we're looking for today, an industry that's evolved, has developed around IoT, and a plethora of options that our architects and engineers are working on today. Gosh, all my background thinking about packet loss and things like that, it gets me a little bit nervous, but I know you've got lots of engineers working to solve that problem. Rob Lloyd, Hyperloop One. Really appreciate you joining us. I'm Stu Miniman. We'll be back with lots more coverage here from Nutanix .NEXT in Nice, France. You're watching theCUBE.

>> Narrator: From Berlin, Germany, it's The Cube. Covering DataWorks Summit Europe 2018. Brought to you by Hortonworks. >> Well, hello. Welcome to The Cube. I'm James Kobielus. I'm the Lead Analyst for Big Data Analytics in the Wikibon team of SiliconANGLE Media. We are here at DataWorks Summit 2018 in Berlin. Of course, it's hosted by a Hortonworks. We are in day one of two days of interviews with executives, with developers, with customers. And this morning the opening keynote, one of the speaker's was a customer of Hortonworks from Munich Re, the reinsurance company based of course in Munich, Germany. Andreas Kohlmaier, who's the the head of Data Engineering I believe, it was an excellent discussion you've built out of data lake. And the first thing I'd like to ask you Andreas is right now it's five weeks until GDPR, the general data protection regulation, goes into full force on May 25th. And of course it applies to the EU, to anybody who does business in the EU including companies based elsewhere, such as in the US, needs to start complying with GDPR in terms of protecting personal data. Give us a sense for how Munich Re is approaching the deadline, your level of readiness to comply with GDPR, and how your investment in your data lake serves as a foundation for that compliance. >> Absolutely. So thanks for the question. GDPR, of course, is the hot topic across all European organizations. And we actually pretty well prepared. We compiled all the processes and the necessary regulations and in fact we are now selling this also as a service product to our customers. This has been an interesting side effect because we have lots of other insurance companies and we started to think about why not offer this as a service to other insurance companies to help them prepare for GDPR. This is actually proving to be one of the exciting interesting things that can happen about GDPR. >> Maybe that would be your new line of business. You make more money doing that then. >> I'm not sure! (crosstalk) >> Well that's excellent! So you've learned a lot of lessons. So already so you're ready for May 25th? You have, okay, that's great. You're probably far ahead of I know a lot of U.S. based firms. We're, you know in our country and in other countries, we're still getting our heads around all the steps that are needed so you know many companies outside the EU may call on you guys for some consulting support. That's great! So give us a sense for your data lake. You discussed it this morning but can you give us a sense for the business justification for building it out? How you've rolled it out? What stage it's in? Who's using it for what? >> So absolutely. So one of the key things for us at Munich Re is the issue about complexity or data diversity as it was also called this morning. So we have so many different areas where we are doing business in and we have lots of experts in the different areas. And those people and I really have they are very knowledgeable in the area and now they also get access to new sources of information. So to give you a sense we have people for example that are really familiar with weather and climate change, also with satellites. We have captains for ships and pilots for aircraft. So we have lots of expertise in all the different areas. Why? Because we are taking those risks in our books. >> Those are big risks too. You're a reinsurance company so yeah. >> And these are actually complex risks where we really have people that really are experts on their field. So we have sometimes have people that have 20 years plus of experience in the area and then they change to the insurer to actually bring their expertise on the field also to the risk management side. And all those people, they now get an additional source of input which is the data that is now more or less readily available everywhere. So first of all, we are getting new data with the submissions and the risks that we are taking and there are also interesting open data sources to connect to so that those experts can actually bring their knowledge and their analytics to a new level by adding the layer of data and analytics to their existing knowledge. And this allows us, first of all, to understand the risks even better, to put a better price tag on that, and also to take up new risks that have not been possible to cover before. So one of the things is also in the media I think is that we are also now covering the Hyperloop once it's going to be built. So those kind of new things are only possible with data analytics. >> So you're a Hortonworks customer. Give us a sense for how you're using or deploying Hortonworks data platform or data plane service and whatnot inside of your data lake. It sounds like it's a big data catalog, is that a correct characterization? >> So one of the things that is key to us is actually finding the right information and connecting those different experts to each other. So this is why the data catalog plays a central role. Here we have selected Alation as a catalog tool to connect the different experts in the group. The data lake at the moment is an on-prem installation. We are thinking about moving parts of that workload to the cloud to actually save operation costs. >> On top of HTP. >> Yeah so Alation is actually as far as I know technically it's a separate server that indexes the hive tables on HTP. >> So essentially the catalog itself is provides visualization and correlation across disparate data sources that are managing your hadoop. >> Yeah, so the the catalog actually is a great way of connecting the experts together. So that's you know okay if we have people on one part of the group that are very knowledgeable about weather and they have great data about weather then we'd like to connect them for example to the guys that doing crop insurance for India so that they can use the weather data to improve the models for example for crop insurance in Asia. And there the data catalog helps us to connect those experts because you can first of all find the data sources and you can also see who is the expert on the data. You can then also call them up or ask them a question in the tool. So it's essentially a great way to share knowledge and to connect the different experts of the group. >> Okay, so it's also surfacing up human expertise. Okay, is it also serving as a way to find training datasets possibly to use to build machine learning models to do more complex analyses? Is that something that you're doing now or plan to do in the future? >> Yes, so we are doing some of course machine learning also deep learning projects. We are also just started a Center of Excellence for artificial intelligence to see okay how we can use deep learning and machine learning also to find different ways of pricing insurance lists for example and this of course for all those cases data is key and we really need people to get access to the right data. >> I have to ask you. One of the things I'm seeing, you mentioned Center of Excellence for AI. I'm seeing more companies consider, maybe not do it, consider establishing a office of the chief AI officer like reporting to the CEO. I'm not sure that that's a great idea for a lot of businesses but since an insurance company lives and dies by data and calculations and so forth, is that something that Munich Re is doing or considering in a C-Suite level officer of that sort responsible for this AI competency or no? >> Could be in the future. >> Okay. >> We sort of just started with the AI Center of Excellence. That is now reporting to our Chief Data Officer so it's not yet a C-Suite. >> Is the Center of Excellence for AI, is it simply like a training institute to provide some basic skill building or is there something more there? Do you do development? >> Actually they are trying out and developing ways on how we can use AI on deep learning for insurance. One of the core things of course is also about understanding natural language to structure the information that we are getting in PDFs and in documents but really also while using deep learning as a new way to build tariffs for the insurance industry. So that's one of the the core things to find and create new tariffs. And we also experimenting, haven't found the product yet there, whether or not we can use deep learning to create better tariffs. That could also then be one of the services, again we are providing to our customers, the insurance companies and they build that into their products. Something like yeah the algorithms is powered by Munich Re. >> Now your users of your data lake, these are expert quantitative analysts, right, for the most part? So you mentioned using natural language understanding AI capabilities. Is that something that you have a need to do in high volume as a reinsurance company? Take lots of source documents and be able to as it were identify the content and high volume and important you know not OCR but rather the actual build a graph of semantic graph of what's going on inside the document? >> I'm going to give you an example of the things that we are doing with natural language processing. And this one is about the energy business in the US. So we are actually taking up or seeing most of the risks that are related to oil and gas in the U.S. So all the refineries, all the larger stations, and the the petroleum tanks. They are all in our books and for each and every one of them we get a nice report on risks there with a couple of hundred of pages. And inside these reports there's also some paragraph written in where actually the refinery or the plants gets its supplies from and where it ships its products to. And thence we are seeing all those documents. That's in the scale of a couple of thousands so it's not really huge but all together a couple of hundred thousand pages. We use NLP and AI on those documents to extract the supply chain information out of it so in that way we can stitch together a more or less complete picture of the supply chain for oil and gas in the U.S. which helps us again to better understand that risk because supply chain breakdown is one of the major risk in the world nowadays. >> Andreas, this has been great! We can keep on going on. I'm totally fascinated by your use of AI but also your use of a data lake and I'm impressed by your ability to get your, as a company get your as we say in the U.S. get your GDPR ducks in a row and that's great. So it's been great to have you on The Cube. We are here at DataWorks Summit in Berlin. (techno music)

>> Announcer: Live from the Computer History Museum in Mountain View, California. It's theCUBE covering DevNet Create 2018, brought to you by Cisco. (techy music playing) >> Hello, everyone, welcome back to theCUBE's exclusive coverage here in Silicon Valley. We're in Mountain View, California, for Cisco's DevNet Create. I'm here with Lauren Cooney, our analyst here with Wikibon, of course. Our next guest is Monica Houston, director of Hackster Live, Hackster IO, Hackster.io, open source hardware, really kind of creating a great community model. Really started from a great idea. Great to have you, thanks for coming, joining us. >> Thanks for having me. >> So, we're here at Cisco Live, so no better place to talk about hardware and software coming together, but first talk about how Hackster started, how it grew, where it is now today. >> Okay, so Hackster got started about four years ago here in San Francisco. The founders, Adam and Ben, they said they wanted to make a community for people that were interested in building open source hardware. Adam had actually come from starting his own hardware startup and realized that there were very few resources for people like him that wanted to build electronics, and so started a community. I got involved, started... We actually bought a DeLorean, drove it around the country and did hardware hack-a-thons in 12 different cities in the US. >> And so where's it today in terms of numbers, community members, and you're based in Seattle, is that right? >> I'm in Seattle. >> Okay. >> Yeah. >> So, what's the community look like, what's the numbers look like? >> There are half a million people on our site and 15,000 open source projects. >> John: Wow, awesome. >> Yeah. >> That is totally awesome, what projects do you see being the most popular on your site? >> Lots of home automation, home automation's a really popular topic. >> Lauren: Mm-hmm. >> We also get a lot of some pretty cool, like, music synthesizers, amplifiers. All kinds of stuff, yeah. >> That's great, now, say I'm like a... I, you know, have coded before but I'm not necessarily truly a developer. Like I'm a moonlighter, per se. >> Monica: Sure. (laughing) >> How could I get involved in this? >> Oh, man, there's tons of resources. So, actually on our site you can sort by difficulty. >> Lauren: Mm-hmm. >> So, if you want to find some beginner projects you can sort by difficulty and find only beginner projects. Also we have tutorials, so tutorials, getting started projects. >> Lauren: Mm-hmm. >> Like, so you buy an Arduino or you buy a particle board and you want to learn how to use it you can search for a getting started project on the site. >> Lauren: That's great. >> Yeah. >> How are you, like... So, you're at DevNet Create-- >> Monica: Yeah. >> With Cisco and what are you doing here? Like, what are you talking about, what are you really interested in? >> So, I have a project called Breadboard to PCB. I'm actually... So, I was a front-end web developer and then I got into all this, so I'm fairly new to it as well. I've been doing it for about six years. I'm not an electrical engineer. (laughing) I have to tell myself, but I'm doing a project called Breadboard to PCB. I made a PCB last year, sort of taught myself how to do that and realized it's actually not that hard and I want to spread that around to people and make them realize that they can build their own PCBs, too. >> That's terrific, that's awesome. Are you and Cisco, DevNet looking to share content or anything like that that might be cool? >> Yes, definitely. (laughing) >> Lauren: Okay. >> Yeah. >> All right, and is there any more you can tell us about that or is that still in the works? >> Still in the works, yeah, we offer... So, we have all these different partners, like Microsoft, Intel, hopefully Cisco as well-- >> Lauren: Mm-hmm. >> That do, they have, their hub is hosted on our site and people share their projects there with full instructions of a template. We actually go through and make sure everyone shares their code and their schematics. So, they're very well put together projects. >> Lauren: Great. >> Talk about some of the most exciting things you worked on, because one of the things I love about the open source culture is the creativity kind of comes out of nowhere. (laughing) We were just talking, before you came out, about my son, how he's been hacking his own thing. With this culture now you have so much online information. You go to YouTube, there's always a how-to. These communities have great resources. You guys got a robust community. So, there's always that natural, organic, "Whoa, look what this person did." >> Monica: Yeah. >> Can you share some stories around some killer things that happened. Not "killer," good things or just some things that are just creatively cool that you never would've thought would happen. >> Oh, man, so Allen Pan is a maker, I think he's based in LA. He has a YouTube channel, Allen Pan, and he did this really cool... I guess The Last Airbender is a popular movie and he did this flame activated, or punch activated flamethrower on his wrist. So, you try this at home. (laughing) Might be a little dangerous. >> What's his YouTube channel? >> I believe it's Allen Pan, is his name. >> So, there's some creative stuff, so people just tinkering around but there's also some serious hardware engineers. >> Monica: Mm-hmm. >> Any businesses starting out of this? Have you seen any, like, good ventures emerge? >> There's been a few things that I forgot about. There was a really cool watch that was Kickstarted that if you're a cyclist you can wear it and it tells you, like, which way to turn based on your GPS. >> John: Mm-hmm. >> There was some really nice Bluetooth, very elegant, like, Bluetooth controlled lights, that with different colors those are nice, yeah. >> So, what are some of the things you guys are doing in the community that you think's notable that you could share, people might be interested and like, how do you guys organize? There's some things that you guys do differently. What are some of the community activities that, you know, are standard. You know, the normal thing, you have meetups and whatnot, but like, how do you guys run your community, what are some of your guiding principles. Can you share how things work? >> So, we are always open, so you can go to our site and there's no, you know, there's no pay wall or barrier to view all of our content because our content comes from our community, and like, they're the ones that are... We're encouraging them to really document their work. Also, yeah, so we do hardware hack-a-thons where we try to make sure-- >> John: Yeah. >> Everyone's very... We're very beginner friendly, I guess. That's one of our goals is to make sure that people are coming from all different... You know, it's the artists that are making cool projects and-- >> So, when new people come in-- >> Mm-hmm. >> They get welcome letter, kind of community email haze or chat, all that stuff going on, all that's in place. >> We have a news feed, we have discussion, comments on the project that we moderate a bit, so yeah. >> So, Hackster.io. >> Hackster.io, yeah. >> All right, what's the coolest thing you guys are doing right now that you think we should know about? >> So, sort of related, actually this weekend I was at a workshop to learn how to make my own fire projects. (laughing) I like fire, (laughing) yeah. >> John: A pyromaniac community. I want the flamethrower fist thing. >> Yeah, I know. (laughing) >> Lauren: Over here is, yeah. >> I'm instantly like maybe on YouTube or something, I want that. That's a great party trick. >> I think it's great. >> Until something lights up. >> Right. (laughing) >> All right, so what are you doing here at Cisco? What's the focus here, obviously great culture they're building here. Very developer, not a lot of Cisco Kool-Aid being injected here, but much more of an outreach for Cisco, what's your focus here? >> This is all new for me, actually. So, I did not realize that this has got such a huge developer community and was really involved and like, this is a great conference. >> Lauren: That's true. >> People are so nice. >> Yeah, and the internet of things is a big hardware-- >> Yeah. >> Focused market. >> Yes, yeah. >> So, they've got all the software there. >> It's only getting bigger, yeah. >> Cool. >> Mm-hmm. >> Cool, all right, so what's new in Seattle? Give us an update on what you're doing. >> All right, it's still raining there. (laughing) >> That is actually very good to know. (laughing) >> You have Microsoft up there. >> Monica: Yeah. >> You have Amazon. >> Monica: Mm-hmm. >> University of Washington, so you have kind of a nice, kind of geek culture developing up there. So, yeah, good open source hardware vibe up there? >> Yeah. >> What's the community like in Seattle? >> Yeah, I run meetups, there's lots of people that come out to different hardware meetups and there are, like, a lot of new, cool hardware startups. Like for instance, Glowforge is a laser cutter that was Kickstarted recently. >> Lauren: Yep. >> There's some other really neat... DiGo is a home automation light switch. >> Lauren: Mm-hmm. >> Yeah, there's some pretty cool startups. >> So, if someone wants to join your community, what would you say to them if they're watching this video right now, hey. What are they, what's it like to join, what are they going to be... What's the vibe like, what are some of the things that are involved? What's the value for someone watching, that might want to join this, totally into tinkering with hardware? >> One thing is a great format to share your projects, and also to document your projects. Documentation is really important and I like to say that a project doesn't exist unless it's documented. (laughing) >> John: Yeah. >> So, documenting it and then we'll boost your project, we'll share it on our social media and it'll get lots of views. >> Yeah. >> Yeah. >> It's an open, it's a nerd culture. I mean, by the way, robotics is the hottest thing going on. You can't get involved, a lot of the younger generation are absolutely enamored with robotics, just at all levels. From, you know, you've got drones, which is super cool, right. Then you've got all the kind of stuff that's, it's all about hardware, hardware. >> Well, this is great, I'm on the site and I'm looking right now at the mind control drone. >> Monica: Oh, yeah. (laughing) >> That is, you know, my question is does that really work? Can I, you know, can I actually do something. You know, take this and learn from the site and actually build that? >> There are, and there are some developer, I guess it's EEG or EKG, EMG is another one, that you can really, you know, you can think left or think right and it will go left or right, it figures it out, yeah. >> That is so cool. >> Are people meeting up on the site and doing work together. Is it like a collaborative kind of hub going on there? >> There are some people that are doing that. Yeah, there was a few people on our site that were doing work on the, what was it... Elon Musk's thing, the... Hyperloop. >> John: Yeah. >> There's, like, the Hyperloop contest, and so a few people on our site were doing some work for that. >> Lauren: That's great. >> So, yeah, people are meeting there, yeah, for sure. >> Monica, great to have you here in theCUBE. Thanks for sharing about Hackster.io. We're going to check it out and thanks for the tip on the YouTube channel. We'll get the fire flamethrower. >> Yeah, make your own flamethrowers. >> John's going to be busy this weekend. (laughing) >> I'm a pyromaniac, I keep playing with matches all the time. So, thanks for coming on, I really appreciate it. >> Yeah, thank you. >> Hackster.io, we are theCUBE here live in Mountain View, California. Cisco DevNet Create, the Computer History Museum. We'll be right back with more after this short break. (techy music playing)