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3 episodes with hypar
2 episodes with hypar
2 episodes with hypar
2 episodes with hypar
2 episodes with hypar
2 episodes with hypar
What should architects understand about the influence of computational design in practice?Technology has prompted a massive change in the way we practice architecture. This week we've invited Andrew Heumann to the show to help us take a deep dive into the world of computational design and coding. This episode aims to bridge the gap between those new to the niche of computational design and those embedded in the community. Andrew will share his perspective on the evolution of the digital tools that help architects create, the role of coding in architectural design, his work at Hypar, and trends in computational design.Hypar: Building technology visionaries have spent 70 years telling us we could generate building designs, but instead, the software industry helped us draw walls. It's time for AEC to do what the software industry has done for 40 years — capture and share its expertise to accelerate the improvement of an entire sector, not just individual projects.With Hypar, anyone can generate, visualize and analyze buildings to make better decisions faster. You can easily add your own processes and expertise so you don't start from square one with each new project.Guest:Andrew Heumann is a software developer at Hypar, with a passion for building the next generation of software tools for designers. He has previously worked as an automation researcher at WeWork, and before that as an architectural designer at Woods Bagot and NBBJ architects. He has written more than 20 plug-ins for 3D modeling software like Rhino and Revit, including the popular "Human" and "Human UI" plugins for Grasshopper. Outside of his professional work, Andrew is a generative artist, working with data, algorithms, geometry, and machines to create rich visual abstractions that engage and challenge the limits and affordances of digital media. Andrew has studied both architecture and computer science and has lectured and taught seminars at Columbia GSAPP, Yale University, Princeton University, and the California College of the Arts. His work has been published in Wallpaper* magazine, the International Journal of Architectural Computing, CLOG journal, and presented at conferences including ACADIA, SIMAUD, Autodesk University, the Design Modelling Symposium, and the AEC Technology Symposium.
Can an advanced algorithm replace human architects someday? In this mind-bending episode, we sit down with Anthony Hauck, CEO of Hypar, for a fascinating conversation on the future of design automation. Join us as we explore how Hypar's design automation tool is designing complex architectural 3D models for us. Anthony reveals how he went on to build architecture's most promising tool after being turned down by Autodesk. Find out how he's on a path to revolutionise the AEC (Architecture, Engineering, and Construction ) industry – and delve into the symbiotic relationship between technology and humans. Tune in and listen to: Anthony's journey from his initial experiences with AutoCAD to his current position at Hypar The vision behind Hypar and its goal to provide users with a robust design tool Hypar's collaboration with industry leaders, which highlights the practical application of design automation in real-world projects The importance of balancing automation and human judgement in the design process And much more .. Join us as we uncover the transformative potential of design automation – and map a course towards a future where tech precision converges with human creativity. —---------------------------- Sign up for our newsletter at: https://bricksbytes.show LinkedIn: https://www.linkedin.com/company/bricks-bytes/ X?Twitter: https://twitter.com/bricksbytespod Youtube: https://www.youtube.com/channel/UCmNbunUTIIQDzbJgGJt9_Zg Instagram: https://www.instagram.com/bricksbytes/ —--------------------------- This episode is brought to you by Shft—the BIM partner you need to fill the gap in your digital skills and tackle your BIM needs, end-to-end. Visit: https://maketheshft.digital —---------------------------------- Timestamps: (00:00:00-00:02:49) Intro (00:02:49-00:10:50) About Hypar (00:10:50-00:17:14) Changes In Product Development In AEC Industry (00:17:14-00:29:10) A Day In The Life of A Chief Product Officer (00:29:10-00:45:42) Designing a 3D Building Live Using Hypar AI (00:45:42-00:50:54) Fund raising of Hypar (00:50:54-00:52:25) Outro
Leah Kovach Margolis is a growth marketer with 10+ years of experience growing revenue for pre-seed through series C companies. Currently, she's the Director of Demand Generation at Hypar, a generative design platform for the AEC industry. Outside of work, Leah recently wrapped up an MBA from the NYU Stern School of Business. Questions and topics we covered include: How does someone get their first job in marketing? What interview questions should marketers be preparing for? What questions should marketers ask before taking a job? How does someone even succeed in their first marketing job? The unique challenges that come from marketing at different stages of a company's lifecycle Being a generalist T-shaped marketer vs specializing Being more useful to the team—building institutional knowledge and industry know-how When is the right time to walk away from a company and move on? Should marketers get an MBA? And more! Connect with Leah via LinkedIn at - https://www.linkedin.com/in/leahkovach/ You can say hello to me on LinkedIn at - https://www.linkedin.com/in/kennysoto/ Past guests of The People of Digital Marketing include April Dunford, Amanda Goetz, Melissa Rosenthal, Bill Macaitis, Miruna Dragomir, Andrew Capland, Erik Newton, Andy Crestodina, Sarah Bedrick, Michael Wieder, Dan McGaw, Kathleen Booth, Foti Panagiotakopoulos, Tommy Walker, Lea Pica, Maya Grossman, Sara Pion, Margaret Kelsey, and more. Music for this podcast comes from www.davidcuttermusic.com
Ian Keough—CEO and founder of Hypar and the father of Dynamo—on how Hypar is creating the next-generation platform to design, generate, and share buildings, and thoughts on open-source software, visual programming, authorship, monetization, and generative AI. Connect with Ian Hypar Hypar Elements Hypar on Discord Favorite quotes “What would we have to build to have [our new AEC software stack] decoupled from all of the historical and legacy software?” “I just can't stand toil.” “You don't wanna penalize the customer for using the system more.” Links Revit Tekla AutoCAD PyTorch Unity Dynamo Grasshopper Python and C# IFC OpenAI Codex DALL-E Stable diffusion GPT Runway ML Gather Visual Studio Code GitHub Copilot NVIDIA's Omniverse Calendly People mentioned Andrew Heumann Matt Campbell Serena Li Chuck Driesler Eric Wassail Eric Bass Anthony Hauck Brian Ringley Chapters 00:00 · Introduction 02:08 · Hypar 12:02 · Hypar Elements 14:11 · Visual programming 16:59 · C Sharp 18:24 · Grasshopper on the cloud 19:57 · Do I need to code? 22:11 · Toil 24:03 · Sharing 26:00 · Authorship and knowledge dissemination 37:16 · Remote work 39:27 · Gather 40:44 · Monetization 48:18 · Advice for young people 49:11 · A $100 purchase 50:47 · Artificial intelligence 53:32 · Sustainability 55:37 · Exercise 57:33 · Generative AI I'd love to hear from you. Submit a question about this or any previous episodes. Join the Discord community. Meet other curious minds. If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps. Show notes, transcripts, and past episodes at gettingsimple.com/podcast. Thanks to Andrea Villalón Paredes for editing this interview. Sleep and A Loop to Kill For songs by Steve Combs under CC BY 4.0. Follow Nono Twitter.com/nonoesp Instagram.com/nonoesp Facebook.com/nonomartinezalonso YouTube.com/nonomartinezalonso
Christopher Walker, CEO, Co-Founder of HyPAR.farmChris Walker is currently CEO and co-Founder of HyPAR.farm. As General Manager of Heliospectra he installed commercial and craft style facilities with LED and software from the plant sciences company out of Sweden. This is where Chris discovered the HyPAR technology and decided to not only join the team, but fund the patent. Chris has a background in commercializing cutting edge agriculture and biofuel based technologies. With a passion for clean tech and other climate crisis mitigating technologies, Chris sees his pursuit to commercialize HyPAR as globally critical to saving the the world. Chris views the overly consumptive energy waste that is currently status quo in indoor growing as short sighted driven by the pursuit to automate everything.http://www.HyPAR.farmhttps://www.linkedin.com/company/86905565/admin/
In this special replay episode, Anthony Hauck of HYPAR joins the podcast to talk about making the mark you want to make, pursuing something that feels more valuable, shared goals and value propositions in AEC, and more. LinksCalamityware MugsDBEI (BiLT Conference)Disruptive Technologies in Architecture – AIA Palm Beach Presentation – Nov 2020 (YouTube)Architecture - Design - Data: Practice Competency in the Era of Computation by Phillip BernsteinTRXL episode 003 with Ian Keough, CEO of HyparTRXL episode 028 with Brian Ringley, Construction Technology Manager at Boston DynamicsSpacemakerBook recommendations:The Warmth of Other Suns: The Epic Story of America's Great Migration by Isabel WilkersonThe Power Broker: Robert Moses and the Fall of New York by Robert A. CaroThe Winter of Our Discontent by John SteinbeckMore TRXL Podcast episodesCheck out my other podcast too: Archispeak & PeopleverseMy YouTube channelConnect with EvanTwitterLinkedInInstagramYouTubeEmailSponsorContent is more than Revit families. If it's digital, AVAIL can handle it. Learn more today at https://getavail.com and future-proof your firm's technology investment.
Anthony Hauck, co-Founder and COO, Hypar, has more than 20 years' experience in architecture, engineering, construction, and IT, followed by 10 years at Autodesk as the Director of Product Management for Revit and the Director of Product Strategy for AEC Generative Design. Anthony has always sought to improve building outcomes through strategic application of advanced technology. As co-founder of Hypar, he helps accelerate and improve AEC projects with the company's cloud platform for computational building system design, fabrication, and construction.Jerry Dehn has 18 years of experience with Jacobs and currently serves as Vice President, Design Delivery Transformation for its People Places and Solutions line of business. Jerry's focus in this role is to enable continuous improvement resulting in higher value solutions for its clients and improved delivery efficiency. Recent delivery improvements include the deployment of the company's new Workforce Planning application and Design Manager Advancement Program. He has functioned as a key leader in the advancement of Global Integrated Delivery at Jacobs and currently leads our Design Automation program, where the company aims to remove the mundane from workers' day jobs and take significant strides in infusing digital technology into everyday design activities. Prior to serving in his current role, Jerry led the 800-person North America Design Operations unit for CH2M. He has held many roles in project delivery and business development across several market sectors over his 30-year career. He continues to serve as Jacobs' account manager for a handful of water clients in Northern California and Nevada, providing leadership to several project teams while staying focused on helping clients solve their toughest challenges.
Sean Fuin is a formally trained mechanical engineer who specializes in automation with python and dynamo. On episode 59 of Fire Code Tech we discuss Sean's career and roles in the architecture, engineering, and construction industry. Sean gives great tips and resources for professionals interested in getting into coding and automation. Sean's Consultancy: https://www.sigma-aec.com/ Testfit: https://testfit.io/ Hypar: https://hypar.io/ Expert Systems: Principles and Programming: https://www.amazon.com/Expert-Systems-Principles-Programming-Fourth/dp/0534384471 [00:00:00] Hello, all welcome to the show. I'm Gus Gagliardi, and this is fire code tech on fire code tech. We interview fire protection professionals from all different careers and backgrounds in order to provide insight and a resource for those in the field. My goal is to help you become a more informed fire protection. Professional fire code tech has interviews with engineers and researchers, fire marshals, and insurance professionals, and highlights topics like codes and standards, engineering systems, professional development, and trending topics in the industry. So if you're someone who wants to know more about fire protection or the fascinating stories of those who are in the field, you're in the right place. Construction industry. In this episode, we're talking again about automation. This episode specifically talks about automation that can benefit engineers, contractors, but the topic of automation and how machine learning AI and other big technology concepts can apply to professional life in general is really ubiquitous in the discussion of how to become more efficient as a professional. Sean is a trained mechanical engineer and he gives great tips for people who are interested in the cutting edge of technology. And if you have a proclivity for coding automation, BIM Revit, or any of the above, you're gonna really enjoy this episode. don't forget to subscribe and follow us on social media. Also, if you could do us a huge favor, give us a five star review on apple podcasts. Let's get into the show. Really enjoy this episode. Don't forget to subscribe and follow us on social media. Also, if you could do us a huge favor, give us a five star review on apple podcasts. Let's get into the. Well, Sean, welcome to fire code tech. Thanks for speaking with me. Hey, thanks for me. It was good to talk about automation. yeah. Automation. I'm gonna talk about automation. Who's not talking about automation. I don't know. It seems like AI. And I keep thinking about AI and machine learning and automation and how that's going to apply to our industry. But. Yeah, I don't know. We could just get right into it. If you have thoughts on that. I like have been trying to pick up a little bit of Python in my spare time and thinking about machine learning and it's not so like clear to me, you know, automation part's clear to me how that would apply to our industry. But do you have any thoughts on like AI and machine learning? What we'll see in the future for those kind of buzzwords for what you and I do on a daily basis. Yeah. I don't know. I've never, I haven't jumped on the machine learning bandwagon. I think it's more of a buzzword. No one really understands the amount of data that you need to make it work. So we have to get a lot better at other things before we can start machine learning our way to success. We have to right. Yeah. I was thinking like, if you had thousands of projects and thousands of device layouts, you know, like really you need like, you know, like 10,000 plus would even, I bet would be a small data set for some of these machine learning projects. Right. So you would need so many projects in order for it to be meaningful. So yeah, it seems like just the baseline automation stuff. Yeah. Makes a lot more sense. I got in debate with a friend of mine, who's working at a firm that's really aggressive, progressive, and they are working on starting to implement some machine learning stuff. And they're just like trying to identify like plumbing fixtures. So we have a fun conversation about that, but I'm like, it's only giving you like this five more percent. And like, so all this work has to go in just to get that extra, like 5% success, but it's like, wouldn't it just be easier if the architect called to sync a. Standardized way. I think that's the approach that we should take. Yeah, but obviously that's had struggles too, so yeah. That's yeah, to my point, I don't think we can get to machine learning if we can't even call a sync, a sync in a consistent manner. That's true. Yeah. I think that it, as with most things in automation, the true value of it is to be found in like the. Repetitive tasks that you do every day. And then eventually you can get to these kind of like highminded ideas about really complicated stuff. But I will say, I think there is a lot of potential there. So should maybe like auto routing and stuff like that. Right. You can almost turn that into a simpler, like 2d problem. [00:05:00] So yeah, there's so many algorithms out there. Like maybe that I just heard something about. They're trying to map the what is it called? The galaxy like web and they're using some type of algorithm that's based off of some type of mold, I think. Huh. And so I saw that like YouTube video on that and I was like, oh, maybe that could work for like auto routing. Do you know? Yeah. That makes sense. I mean, so yeah, that like that auto routing is a really interesting topic. Yeah. It's a really hard one, especially fire protection, right? Oh yeah. Fire protection and fire sprinkler. You guys usually like the last ones to go. Yeah. It's, it's a dynamic. We talk about a lot in inside the firm that I work for is. Fire protection is such a, an odd burden in the sense that, you know, there's so much delegated design that's baseline in our industry. So the engineers by and large will just like shove off the task of actually routing to the contractor so frequently. So it just causes more consternation in the field and between disciplines and H V a C guys mad. Sprinkler guy got in first and routed wherever he wanted it to. And then just said tough. You know, even though we do our best to try to make sure that people coordinate contractors coordinate and we require coordination drawings and our specs, but it's always a pain. Yeah. I personally think we kind of design buildings completely wrong. Right. Like we try to lay out. the architecture first, which of course there needs to be like a form, but we sh like we, you know, as mechanical engineer, I'm used to getting a detailed architecture model before I even start running duct work with ceiling Heights already in the model. And then right. It's always the battle of, I need more room for my ceiling and then not when I do it where right. If you. Kind of have the form of the building, obviously kind of, you know, generically what spaces are, but then you could start to route maybe like the mains, at least using algorithm and even doing plumbing, fire protection, all that together, and then build the architecture's job should be around billion around the infrastructure. Right? Yeah. And making it look. you know, have them, alternatively, how do we hide this infrastructure? You know what I'm saying? Yeah. It seems like a chicken or the egg problem. Exactly what needs to come, what needs to come first and speaking with the biology, you know, metaphor. I mean, again, I don't think if you watch a baby grow, right. It starts with like the spinal cord, like the brain, the spinal cord, and like the limbs and everything grow out from there. You know, so you almost have to like, think of the building as having like the spinal cord for the infrastructure and then build around that. That's an interesting thought. I've never, I mean, that makes sense from a that I, I would think that an engineer would think that though. Yeah, it did the battle between the architects and engineers over, you know, it, I worked at a startup called I. and it was kind of a disaster and this was one of the reasons why. And so I came in late in the game, but also I was in charge of like all the mechanical stuff and they had me design the mechanical stuff around their structural stuff and around just, it was a modular. So just around all these co. I was assigned to figure out the mechanical and I kept on saying, right, like, no, the mechanical is you should be designing structural architecture around the mechanical, not the opposite way around. And yeah, the owner of the company never really got that. I could see that I've never been able to. I mean, at least you could have that conversation. I feel like fire protect. Unless it's just like some really specific instance, you know, like with storage sprinklers, sometimes we get into situations where we're pushing around the structural engineers columns and, and Joyce layout. Because if you can't fit these storage sprinklers into this space, you can't build the space. Like you can't sprinkler it. You can't get a code compliant, build it layout, but arm that. One of the things that modular was like, alright, how are we gonna bring fresh air in? Like, [00:10:00] that was the number one question, at least in my mind was like, how are we gonna bring fresh air into this space? And so my idea was to go to the outside wall and now we, again, we're trying to modular and keep it all tight. So then it was like, okay, we, so we're like, we're trying to design these things, the modules, right. So like how can we have repeatable pieces that come together? Right. So like a kitchen module might. A closet in it. And my idea was to put, like, try to get really small HVC equipment, but to maybe go in that closet, that would act as like the also act as the washer and dryer closet. And then we'd have to go out in the wall. Well, my idea was like first put ideally where the H HP equipment should be and then build all the structure around. They were doing the opposite where here's the structure. Tell me where I need to put the H V C. So yeah, those working with those seems like there's always constraints, but the more heavy the building in, or site constraints, just the more difficult the entire process is. So I think modular is like the extreme of. Constraint. I mean, you're like the whole idea is to get it as confined as possible or, you know, just kind of these succinct little pieces. So that's, it's interesting. It's almost like putting right. If you always have the analogy of like, if you put, if you're trying to like pull of Legos back in a box in ways, if you put all the small Legos first, then the big Legos aren't gonna fit. Yeah. Okay. So it's almost like that with the structural, the architecture first before the H V C. Hmm. Yeah, I think that's a interesting way to think about it. I guess we'll just have to get faster in the automation and the prototyping to where that is. Like we can have a conceptually generated layout that's quick so that we can raise that red flag fast, but there's so many options for. Mechanical engineers. I mean like fire protection sprinklers are straightforward. Like you got like what maybe, maybe two most common system types, you know, wet are dry sprinkler systems. There's no like manufacturers really that are driving these big configuration changes. But how much variation do you guys get with building. I mean a lot, a lot of barriers. That's another huge right thing to tackle. Yeah, for sure. The, the jurisdictional stuff is the biggest variability. Just as far as like military versus commercial versus, you know, you could work for department of defense or you. VA or what, you know, all these different government, high rise Highrise, you know, so all that like has a big impact. Yeah. Not auditoriums and stuff, but, but yeah. So I know that we we've had for the listeners just tuning in we've, you know, we had some technical difficulties on the, on the first go around. My, my recording program just was given us fits, but I wanted to. Yeah. That's classic problem for technology. I can't open up laptop walls today with rabbit, so oh yeah. Clap. Wait, what is it? What kind of walls with rabbit? I'm having trouble opening up Autodesk docs models right now. Oh man. Yeah. It's like that one day when everything Autodesk's cloud client went down, it's like, I was like, well, Autodesk never goes down. Surely it's not that. And then you get the email and it. There whole cloud servers down for a day or whatever. I forget when that was, but seems like there's always something it's harder. It makes things harder. Yeah. But I wanted to let people know a little bit about your background and you could keep it abridged, but, you know, tell, tell the listeners about kind of your working history and kinda how you found your role map. So I am a mechanical engineer degree. Got my EIT T still wanna get my PE so work on that. Just one more test to take. Yeah. So going through school, I had my first internship at a H V C firm in St. Louis. And I hated it. They were still, they were just starting to play around with Revit. I actually remember, I somehow I got access to Revit and to get the internship, I like pretty much printed out a model of somebody else's work and threw some ducks in there and was like, look, I know Revit guys. But yeah, I was left doing a whole bunch of CAD stuff there and like, dude, they had me getting photocopy [00:15:00] stuff. So I saw a lot of manual. You know, I was the lowest man on the ton pole. So was a lot of manual tedious stuff and I hated it. Then I got like a year and a half long co-op at a place called tech manufacturing, which they like are a C C shop for aerospace parts. And so that was really, really cool. So at tuck manufacturing I guess I should back up the. In college. I started learning Excel. That's I think where the story should begin. So in college I started learning Excel and we got really good at it. Me and my buddies that we had to do labs with. So we had labs. You have to make these Excel spreadsheets and, you know, before, even the lab, we were doing it. So I was starting to get good at Excel. The firm that I had, my internship was used in a lot of Excel and there's this old, old timer. Awesome. Dude taught me even more. He was always showing me little tricks in the. Excel. So that's been really good, which led me to, I think, in the co-op job, cuz they had an Excel spreadsheet. That was just the most insane thing I've ever seen. So they would bring in so like Boeing or Lockheed would like give these packets of all these parts. And my job was to like find the boing box of the part, right. For the raw things, get out what material it is. So it might be aluminum might be titanium. The grain, which way the grain runs. You just had to like pull all this information out and then put it into this Excel document. And then at that point it would just kind of do its thing. And you did some other stuff to try to get an estimate on the CNC time, but like do this thing and sew many formulas and so many sheets at the end of it. It even calculated like shipping cost and all this. And it made what was called, like the red sheet, I think, is what they called it. And it would be like this big review of all the parts and they'd say, yay or nay. So all the higher ups would come in and we'd review all the parts. After all this information's populated in Excel. And like I said, it's given you cost. It's like it's gave you everything you need to know to say the part is if they're gonna bid on the part, what they're gonna bid and if they'll move forward or not. So I was just like, this is really. So I learned even more Excel there that internship or co-op was up and I needed a job and guess where I landed H VC designer, the thing that I thought I would hate. So yeah, luckily the time dynamo was starting to become a thing and began my Excel. I was like, oh, DMO can get stuff from Excel into Revit. So that started. And then I realized you could do stuff with geometry and then snowballed from there. Now I've been consulting for three years, four years building custom workflows for clients. That's very cool. That's neat that you had that saw the power of this kind of streamlining of, of very difficult and unique process. And so you kind of had that seed planted early in your career for the, the possibilities. Yeah, for sure. Before all that, by the way I worked at restaurants for like my early twenties and I worked under this guy, Vita Elli, who's now the executive chef's chef for Anheuser Bush, but he's like a Gordon Ramsey type. And he, he was all about, I started with him when I was 16. And so he is all about efficiency. So I. I think that's maybe when it was really embedded in my mind, but then just got reinforced in all these, you know, other little adventures I had. Huh. Interesting. When you're talking about, you know, you make custom kind of like dynamo and Python, like solutions, is there anything like you don't have to get specific? Specific projects or tools, but like, can you give examples or maybe talk a little bit about your project work and give the people listening some ideas of these applications? Yeah, I mean, I guess there's anytime the big, the first big success I had with dynamo, I think was studying up projects. So I missed a softball game one night and I was really disappointed, but the night was literally spent we behind it was a huge hospital. I forgot the sheet count, but my, I, I had to work overtime, literally dragging sheets and legends on art dragging views in legends on the sheets. Like it was so silly. So yeah, dynamo again was starting to mature. Yeah, just automating that whole process down to a couple clicks was like, whoa, this is crazy. So that's first. So any like little [00:20:00] things like that, especially in things that have like a very defined recipe is good for that. So now I've done that with like setting up electrical panel schedules, sheets, and doing a whole bunch of stuff. Like the annotations, like there's like this annotation. I guess another advanced thing that I did was that was really cool, was working for electrical contractor. So we made a thing called room in a tote. So it'd go into the Revit model and you'd pretty much section the building off by essentially rooms. And the whole idea was we'd get those elements. We'd make cut sheets for all those elements, fill the materials for all those elements. And then in the warehouse. All the elements, the instructions and the tools, like all the materials, I should say, not elements. So actually the materials, the instructions, how to install the materials, the tools need to install those materials would all go in a tote and be shipped to the construction site. And that tote would make its way into the room. And then the room would, the tote would open up and the electrical guys would do their installations. Wow. So you were doing like material. Material stock listing basically from yeah. Revit model. Right. So right from directly from the rev model and these guys the company hired a lot of people from the field to do the detailing work inside Revit. So like they were doing detail work downs, like the bolt. Wow. Which we were pushing our computers so hard to do this. Yeah, it's really cool. That was very advanced. So, yeah, so we'd go through and like make cut sheets, essentially, like get the front view, the side view, the 3d view, the back view, you know, of every electrical panel and then boom, bill of materials. And then, yeah, there's multiple layers of it. So stuff would build up from like, you know, bolt level to component level. And I forgot that little details of how we did it, but yeah. In other words, you went from Revit model to. All the parts that you needed in a tote that got shipped to the construction site. That's really cool. That's for people who maybe aren't as aware of like Revit and the common detail level, I mean, like that's like detail level 500 for, I mean, there's kind of like different gradients of how much detail is you can go from like a 2d annotation with no. Information tied to it all the way down to where Shawn is saying where the bolts and the RTS on a piece of equipment are detailed. And so there's kind of a sliding spectrum and, and that is on the extreme end of like, I'd say most commonly in the architecture, engineering and construction industry. You're at like the middle of that spectrum, probably like 200 or 300. Level of design, you know, you have either 3d models with a limited amount of information or 2d models or at least that's in my experience, what I've seen in the industry. Well, I like they do have analytical models, right? So I've seen more of that happening where I haven't physically modeling stuff, but you're starting to use Revit more as a design tool rather than a documentation tool. Interesting. Yeah. That's if I add on another thing I've done. So my favorite script I've ever wrote in for mechanical engineering is like zoning a building, and it's just speaking of machine learning so that like uses some clustering algorithms, like canines clustering, and it was a silly problem to solve of just how do you like group these things? And that was the solution was clustering. Interesting. Yeah. I think that can snowball. To whole bunch of other stuff, but also just allows you to start doing, using Revit as a design tool. Huh? That's really interesting. So you would establish H V a C zones based on your automation. Yeah. So it's all about data, right? So you have a whole bunch of spaces in a building to zone a building like common spaces usually get grouped together. So spaces like the same thermostat set points, right. Could be grouped together. Exhaust might be grouped together, excuse me. On exhaust fan exterior spaces, right? So north exteriors would be grouped together. South exteriors could be grouped together. Different windows sizes. Right? If you have a, you know, two rooms next to each other one has a lot more windows, then they wouldn't be grouped together, but right. So you can use all this data to kind of start grouping these things together. And then you're left with like these clusters of spaces that now you have to divide evenly. And so you can't just like draw a line in the middle. You have to like try to find the right [00:25:00] clusters of spaces. So that's where the clustering comes. And then yeah. So then you can actually do like a decent zoning and yeah, it got to a point where we took this to production and we actually put like sliders on stuff. So you could limit how much area is on one zone, you know, set a max into that. You could set a maximum to like. The load difference into the spaces you're comparing. There's a whole bunch of sliders on it, so you can start to generate different zone layouts with the same script. Yeah. What I'm trying to get to, what I think is really cool and kind of my north star right now is then taking those zones and going to energy modeling. So now you could run in theory, right? A whole bunch of different. Run energy models on whole bunch of different systems and, you know, even get you know, upfront cost and life cycle cost and all that sounds really familiar to what I was doing at the manufacturing plant. So, Hmm. That's awesome. It that's such a time consuming process. I'm sure. Oh, crazy. All those. When I was a designer again, when I was low on the totem pole, just watching all this stuff, I'm like this, cuz they're doing all the calculations to like, you know, decide which system to pick. And then you have to like write, you know, we, we went through system a, B and C and we're picking system a because of X, Y. and yeah, it was really time consuming. Yeah. So Revit has access now to energy plus, which, which is what I've been working a lot on. That's awesome. Yeah. That's and I can't see, you know, application to this for really so many engineering systems, like, I mean easily for electrical, definitely for fire protection and you know, other disciplines where, you know, Zoning equipment zoning based on whatever parameters you wanna build in, you know, whether it's a voltage drop or, you know, friction loss you know, all that I could see just so much potential for that. Right. It's kind of cool is too. Yeah. I've thought about it with electrical a lot and I haven't done it yet, but like, you know, taking receptacles and grouping those for panels, right. So, yeah, that's why I seen doing the stuff that I was doing with the electrical contractor. Like when I was doing that, I was really interested in like automating the process before the processes that we were automating there. Cause we were just automating the documentation and already I was looking at like, how do you guys know what? Like, cause they were having to put in a lot of information, right. To make room in a tote work. So it's like you just keep on knocking. Let's keep on knocking chunks out of the thing. And that's why the zoning algorithm was so exciting to me, cuz it, it was a huge whole bunch of people told me it couldn't be done. I was like, and I didn't believe that. So, you know, it was just like, it was this huge gap in the workflow and to solve that gap was just really. Isn't that the start of any good story that they told you that it couldn't be done. I 'em there yet. I haven't won the, the automation princess yet, but oh, does that, did they have awards? Is that a thing? I'm just saying the, you know, you're always, oh yeah. A struggle. Virtual, the virtual automation princess. You haven't gathered her out of the castle. Hopeful it'll happen in my career. Right. I mean, you're off to a good start. That's fun. I like thinking about these big ideas and yeah. Holistically looking at how can you take the whole process and kind of make it into discreet chunks for everything to run smoothly is a really fun idea. Yeah. I think that's what I'm really good at. I'm made a dyslexic. And so if you read stuff about like dyslexic and what they're good at. Exactly. What we just said is exactly what like typically dyslexics are good at. And so, yeah, that's kinda like my superpower now is being able to zoom in and out of like these big problems and just make the connections. Yeah, it's fun. I love it. It's solving, it's solving puzzles and problems. All the. Yeah. So I'd like to, you know, hearing your big thoughts on like the future and what you'd like to, to do with your consultancy, but yeah, like what what, what else is getting you excited? And do you want to do with, with automation or like what kind of gets you charged up on a like a project level or just like an, an automation conceptually I'd like to keep chasing that thread. Yeah, I think I, I mean the whole reason I started the consultancy was not to get rich or anything. The whole reason was I wanted to do what I wanted to do and [00:30:00] work on the stuff that I wanted to work on and I couldn't find that avenue. So yeah, I, cause I didn't mention this earlier, but yeah, I quit my job as a mechanical designer cause I knew I wanted to like pursue automation and I, I tried to find a job around Dallas. to do that. And I couldn't find one. So that's when I started the consultancy. As far as motivation, I think my Northern light has always been this vision. I've kind of already described of getting an architect model and then being able to quickly generate a whole bunch of different options for the H VC. I guess branching that off into plumbing and electrical would be awesome. And then I guess the biggest, the like end game would be, if you could do that and start to optimize with all the systems and architecture and structure all in one algorithm. Which man there's a right. I'll know we get there, I think in theory, but of course it's just like, like computational time is a struggle. Maybe with quantum computing, right? Throw another buzz. There's computers are getting bigger and bigger and faster and faster, so right. That is how we're doing buildings. The super computers and just algorithm. Yeah, I guess it gets into like kind your thing of like where the industry's going. And I don't know. That's where I'm, that's where I see it going. That's my Northern light. It's also kind of scary. Right. Once if someone beats me to writing that algorithm, am I a job? But so far it's been kinda proven not to be the case. Right? So. Automation's gonna take her job south park in reference there . Right, but it hasn't, and we are still talking about, you know, we started off talking about the struggles of data and data entry. And so there's like these two forces, there's these entrepreneurial spirits that are pushing really hard for automat. But then there's just like this force holding it back due to like, I almost wanna say like people problem with just understanding, right. Just understanding, you know, how databases work, understanding computer science. Building code, I think is holding us back. Right. I think we need to digitize building code if we're ever gonna. Right. An algorithm like that. Cause right. If you, like, we were talking earlier, if you change one thing that changes the other. Yeah. That's an interesting thought. You know, in something that I've thought about a decent amount, because you know, like if you take a look at this company up codes who is a definitely super somebody. Yeah. So they want to like make the, kind of take a tech angle on the building code. And there's been a lot of litigation over that. Yeah. That is about saying that was huge. The fact that they won, that was huge. Yeah, definitely. So, and I was watching that closely because that kind of, you know, if you don't have free license to work with that data set, then like, what are you gonna do? How can you, how can you innovate on top of that? It's like even upgrades though. Isn't really there to what we need. Like I played around with up codes a lot. And it's great. Yeah. I know they're doing, trying to do some compliancy checks, audience, compliancy checks, but not the, so I've been thinking a lot about, and I was, I went to bill recently and I was asking everybody it's, it's hard to even formulate the question, but like, You start having all these databases connecting, and we all know the pictures that you see, but it's like, how do these things really connect? And then it's like, how do you take that stuff to scale? And so the example is, let's say I have an algorithm that is diffuser is already, I'm gonna make it real simple. That's not how it's written, but like diffusers are placed 10 feet apart, right? That's algorithm supply diffusers based tend to feet apart code. So then you're reading you go, now you're doing a project somewhere else. And this one says a supply diffuser will be placed in the center of the room and the exhaust diffuser will be placed by the door. Right. Human language. How can you build a system at scale where you can just keep on adding those rules in?[00:35:00] Right. So next, you know what I'm saying? Yeah. Next rule is. Code or whatever, for whatever reason, rule number three is slot diffuser goes on window. You know what I mean? Yeah. The flow control for the such a big process is really difficult. Snowballs on you so quick. And I ran up diffusers cause I was thinking of'em a lot about this with just diffusers recently and yeah, so I've so yeah, bringing back to bill, I asked a whole bunch of people, this question of like, how can we start to do this stuff at scale? And. Make a system that you can just add more layers on top of really simple, right? The only person to give me an answer or a path to even start to go down was Ian from high park. Who's actually the creator of dynamo. I forgot his last name. Sorry, Ian. . Yeah. And so they're working on this thing called Hy par, which is really cool, but they essentially build things that are functions and the functions wrapped inside the functions is kind of like that design logic is the elements that, you know, use that design logic that get placed. And so then their kind of workflows to layer function on top of function, which again is kind of getting back to the idea of. Function a will make floors function. B will divide the floors into offices and corridors and whatever right function maybe Q would be right now put in diffusers function. Z might be right now, route ducks. Yeah, so they have a point and his thing was talking about is he recommended that I look at at the book, I forgot what it's called expert systems. So I've done a little bit look at expert systems. I think that's kind of a route and that's a lot older, the machine learning by the way, expert systems, the book. Yes. There's a cool book. You wanna know the principles of programming principles are programming. I mean, it's not, or it's not even just program. It's more of like a way to structure data in a way. Who's the author expert systems, principles and programming. Josh C G I a R R a T a N O author link up in the show notes. But it's also another thing that I've been thinking a lot about is right. We have a lot, like the turnovers happening in the industry so bad and like, so a lot of senior engineers that have all this knowledge in their head. And, and again, that's another just like building code. Like there's also this database of knowledge. It just like we have building code that's in written word. Right. And that has to be translated into some type of algorithm. There's also the knowledge in all of these engineers heads that has to be translated. Oh, no, sorry. I keep interrupting. I was gonna say, I read a terrible article today. They were posting, they said 25% of the professionals in fire life safety think that their knowledge transfer is being completed from people aging outta the in industry. So like, there's just this terrible. Loss of industry specific knowledge. And like you were saying, this turnover, this, this, this exiting of this longstanding knowledge base from the industry is a huge problem. So yeah, I guess back to the question of like, where do we go or what's gonna look like in a few years, I think it's an open ended question. When I was at built last time, I actually left pretty pessimistic cause. I'm fairly new to the industry on like five, six years experience now and right. COVID happens. So we all didn't see each other for a good two years. It's a tight knit community at that conference and we all come back and we're all talking about the same problem about data and standardization. And how do we implement this in our firm? And I'm just sitting there. Thinking if I retire and I'm still having these conversations, I'm gonna be very disappointed in my life. like, you know what I mean? And I see other people there that have been there for have way more experience than me. I mean, there has been some success of going from like AutoCAD to Revit, but yeah, I Don. I hope we're on like the, you know, exponential path right now. It seems pretty flat, but soon we're gonna take off. So I guess that's to wrap up that question two options, right? We either stay [00:40:00] linear pretty much linear flat as we have been with our efficiency in the AC industry, are all this technology that we've been talking about finally gets us to, you know, go off exponentially. . Yeah, that's interesting. Everything. We need that exponential to happen, right. With everything going on in the world. Yeah. I believe that it's gonna happen. And to, to me, what makes me excited is just like how I can finally see companies or individuals like you even existing, like the fact that they, you and March do exist and you are making good content and automation and like, and then you have companies that are becoming. You know huge, critical successes, like D roots and stuff. So I mean, look back 20 years ago and we didn't even have companies doing custom software. I mean, like in our, in the AEC industry for as a business, right. I consider myself so lucky. It's like, it's incredible. It's just crazy. I came in at the right time for like, there to be this opportunity. Yeah, that's awesome. And so that part about it just makes me think that we're just at the launching point of this automation trend and, you know, 20 years, you know, test it, test it. Mm-hmm wow. You need to look at test it. You should, they should be on your podcast too, by the way. Shout out to them, but they just got 20 million in funding or something. Oh, wow. Yeah. I mean, that's just one example of last start. You brought up up codes co tools kinda working on energy model stuff I'm working on. Actually. Yeah. Another question to ask. Will Autodesk always be the top dog in the game, man? I stop test fit, audit desk, stop test fit from having a booth at this. Esque university. Oh, wow. That's incredible. I I was talking with mod about who's gonna be the Autodesk killer or if there was going to be one in our lifetime and he, you know, kept boiling it down to like, whoever can really captured the holistic picture of the building and all the engineering disciplines would be the, the one to roll them. All right. I think H park there again, Hy Park's another one. They have it. What's really cool to me about test fit. What I've always seen is they're pretty much doing like, like they're doing test fits. That's the name where it comes from mm-hmm . So they're like, you know, you give a site, you draw out a polygon and it just starts like creating multi-families and they keep the ratios between like you know, units and parking stalls and stuff like that. But what I see is this really simple geometry. And back to my original thing about like how routing MEP stuff, how we're doing it wrong with trying to do it. When it's really complex, we have a really complex maze. Well, what test fit's output is, is just like, pretty much like massing. So then I've always wanted to layer MEP on top of that. Cause I, I know what their output's gonna be. Like, I know what I'm getting. Yeah, and it's simple. So those two things right there, those two things makes energy modeling a lot simpler makes you know, like auto writing algorithms, a lot simpler. So I see someone like that's why I see with test fit is because they started the very beginning stage, but now they can just keep adding. One of the things is engineer to build custom softwares and engineers. You don't know what you're getting from the. Right. So that's like the biggest struggle that I see with writing tools for, or writing tools for engineers is right. We all know what the, a architects come through and I'm like writing the input is so variable from what the architect can provide. Right. It's, it's a very frustrating thing. Again, one of those times where I always get told I'm wrong, but I'm always like, or like they don't have control, but I'm like, write it into your bid execution plan. Hey, architect. We expect this brand to carry our fodder wall rating. Is that how you guys do it? If not. Okay. Let's change it. Or can you please do it that way? Here's why, cause I'll save you so much time on the back and forth. You know what I mean? So there's, there's countless countless examples of that. When you go from architect to engineering, you know that the data drop the model transfer. Oh, yeah. It's it can be done just like a hundred different, like a thousand different ways. Why is machine learning when you can just write a simple execution plan, find an architect that understands automation and what's needed. Right. So, yeah, I don't know. I guess the business models have to change. And I'm not an expert on the business models, so yeah, but it's fun to think about, I think that's funny that you're like, let's start with mechanical, cause maybe it's good to be naive and not think about, not understand the [00:45:00] business models. Cause then you can come at it clean perspective. Yeah. Yeah. I mean, I think that's awesome. It makes me really excited to see things like test fit. And for those who are interested in taking a look it's looks like it's mostly kind of residential and building development projects for. Developers and kind of this blocking and programming sort of early design phase, like even before schematic design, kind of programmatic design phase, and you know, anybody who is aware of the money involved in the development for these type of facilities would quickly realize how much market capture and money there is for this type. Service. I mean, it's, it's immediately seems like a no brainer from, you know, whatever three minutes looking at it. I keep on bringing up. Ian Ian told me when, well, like one of the first times was met when he was starting high par was, and I use it all the time in so many presentations. It's like, why are we starting off projects with a blank screen? Right. And test fit's a perfect example. What we could be starting projects off with what is high bar? What do you keep saying? I don't know what that is. A company. It's hard to explain what high is. I think they're struggle explaining what it is. Another person podcast would love to I'll leave. I'm gonna leave it there. I tried to explain it earlier. The business model kinda. I've always looked at the business model as like, huh. Cause they're trying to bring like a community kinda like DMO sense to it, but it's like, huh, it's weird. that's interesting. Well, maybe I'll do a solo cast or something about it, but interesting stuff. Well, I like, you got a lot of different perspectives and people so far that I've never even heard of. So I appreciate all that perspective, but so for people who want to get started. Dynamo or for automation, like where would you suggest that they start or resources that they should investigate? I would start with having a problem and trying to solve it in a simple problem. Not a hard problem. I say this story real quick, or just thing I learned through consulting. I'll like when I first decide to work with a client or not, one of the big red flags that I get is when someone. I want you to auto route MEP for me, like, to me, that's a huge red flag, because if that's just that simple of a statement, they have not taken the time to think about the complexity of that problem, the amount of data that's needed to even start thinking about that problem. Right. Cause what are you, where, where are your sources and where are your targets? Is that data in the model? What do you wanna avoid? How is that data in the model? Are we gonna do it in 3d 2d? Why not 3d? Because it's really com you know what I mean? Like, just, if you ask for something like that, that complex, then you don't have a grasp on what it takes to build tools and you don't have understanding of the data are the geometry behind. So again, if you're gonna, if you're trying to get into automation, start with a task, don't have it be auto routing, have it be like getting data from Excel to rev. That's where I started setting up projects putting legends on sheets, something that's relatively linear, you know? And there's a lot of tools out there. There. There's VBM Excel. There's dynamo. There's Python. Dynamo. If you're working in Revits probably your easiest best shot get hooked. And then yeah, just keep on learning until you can never stop learning. So I guess that's what adds say. Well, I think that's a beautiful point to end on keep learning to never stop learning. Cause that says something that I'm throttling myself. That's gonna be the guarantee, right? The Northern star is to. Northern star. I wanna have the, you know, in star wars when they have like the death star plan, that's what I would, that's what I picture. It's what you want for your flow chart for your process and your dependency. I want, I want a hologram in the middle of a desk where I can flip some knobs and just the MEP infrastructure, right? Just like you say, the generative design stuff just switches and you get. Again, just like the red sheet at manufacturing facility that tells you the critical information. And then you, we all sit around that desk and we debate and we have conversations about, [00:50:00] you know, the right choice and to get there. Yes. Never stop learning. Hmm. Cause it takes so many hats to pull that off. Probably hats that we haven't thought exist. Yeah, I like that. Well, that's a good note, Sean. Well, where can people find you if they want to reach out to you about custom rev solutions or if they wanna learn more about your company? So within email website, YouTube, Twitter usually my name, our Sigma AAC. Cool. Well, I'll throw some links to your consultancy down in the show notes. If people want to come find you, but yeah. Thank you for coming on the show, Sean. Thank you. Good conversation. Thanks for listening, everybody. Be sure to share the episode with a friend, if you enjoyed it, don't forget that fire protection and life safety is serious business. The views and opinions expressed on this podcast are by no means a professional consultation or a codes and standards interpretation. Be sure to contact a licensed professional. If you are getting involved with fire protection and or life safety. Thanks again, and we'll see you next time.
Episode 074: Exploring the Evolution of Computational Design What should architects understand about the influence of computational design in practice? Technology has prompted a massive change in the way we practice architecture. This week we've invited Andrew Heumann to the show to help us take a deep dive into the world of computational design and coding. This episode aims to bridge the gap between those new to the niche of computational design and those embedded in the community. Andrew will share his perspective on the evolution of the digital tools that help architects create, the role of coding in architectural design, his work at Hypar, and trends in computational design. https://hypar.io/ (Hypar): Building technology visionaries have spent 70 years telling us we could generate building designs, but instead, the software industry helped us draw walls. It's time for AEC to do what the software industry has done for 40 years — capture and share its expertise to accelerate the improvement of an entire sector, not just individual projects. With Hypar, anyone can generate, visualize and analyze buildings to make better decisions faster. You can easily add your own processes and expertise so you don't start from square one with each new project. Guest: Andrew Heumann is a software developer at Hypar, with a passion for building the next generation of software tools for designers. He has previously worked as an automation researcher at WeWork, and before that as an architectural designer at Woods Bagot and NBBJ architects. He has written more than 20 plug-ins for 3D modeling software like Rhino and Revit, including the popular "Human" and "Human UI" plugins for Grasshopper. Outside of his professional work, Andrew is a generative artist, working with data, algorithms, geometry, and machines to create rich visual abstractions that engage and challenge the limits and affordances of digital media. Andrew has studied both architecture and computer science and has lectured and taught seminars at Columbia GSAPP, Yale University, Princeton University, and the California College of the Arts. His work has been published in Wallpaper* magazine, the International Journal of Architectural Computing, CLOG journal, and presented at conferences including ACADIA, SIMAUD, Autodesk University, the Design Modelling Symposium, and the AEC Technology Symposium.
Modern software development practices for AEC (Hypar) --- Send in a voice message: https://anchor.fm/mayur-m-mistry/message
The Anatomy of a Hypar Function --- Send in a voice message: https://anchor.fm/mayur-m-mistry/message
Olly, Guillaume, and Faisal talk the future of Hypar as a AEC disrupter with Andrew Heumann!
Growth: It starts with chaos. When get closer you see structure building up. In fact, the installation interactively responds to what visistors do and grows its patterns. We interviewed Thijs de Koning of Hypar Collective during their try-out at the TU/e campus. --- Send in a voice message: https://anchor.fm/podcasts-4-brainport/message
Special guests Ian Keough of Hypar and Clifton Harness of TestFit join me to talk about the evolution they've experienced in their different kinds of startups (platform versus product, respectively), and take us behind the scenes to share what it's like running companies, building teams, and building software as CEO's.Other potential unused episode titles from our conversation: ‘A Whole Flotilla' and ‘Feral Desire' (thanks to Clifton), which are now going on the list of good names for bands.LinksIan KeoughIan on twitterIan's YouTube talk to the AIA Strategic CouncilTRXL podcast episode 003: ‘A Local Maxima', with Ian KeoughHyparHypar websiteHypar's YouTube channelClifton HarnessClifton on twitterClifton's YouTube talk to the AIA Strategic CouncilTRXL podcast episode 005: 'BIM is a T-Rex‘, with Clifton HarnessTestFitTestFit websiteeBook: 18 Ways to Increase Density in Multifamily BuildingsTestFit's YouTube channelBad MonkeysCase, Inc.More TRXL Podcast episodesCheck out my other podcast too: ArchispeakMy YouTube channelSponsorThanks to our sponsors for helping make this episode possible.ArchIT offers Complete IT Solutions for Architecture, Design, and Engineering firms. Tired of dealing with generic IT providers? Visit www.getarchit.com and schedule your free consultation. Technology is your competitive advantage.Twinmotion is a real-time rendering solution used by architecture, engineering, and construction professionals to create high-quality imagery, client presentations, and interactive experiences that help communicate your BIM data and design ideas, fast. Visit twinmotion.link/trxl and try Twinmotion for free.
Special guest Anthony Hauck of Hypar joins the podcast to talk about making the mark you want to make, pursuing something that feels more valuable, shared goals and value propositions in AEC, and more.LinksCalamityware MugsDBEI (BiLT Conference)Disruptive Technologies in Architecture – AIA Palm Beach Presentation – Nov 2020 (YouTube)Architecture - Design - Data: Practice Competency in the Era of Computation by Phillip BernsteinTRXL episode 003 with Ian Keough, CEO of HyparTRXL episode 028 with Brian Ringley, Construction Technology Manager at Boston DynamicsSpacemakerBook recommendations: The Warmth of Other Suns: The Epic Story of America's Great Migration by Isabel Wilkerson The Power Broker: Robert Moses and the Fall of New York by Robert A. Caro The Winter of Our Discontent by John Steinbeck
In this episode, we try something different with a Zoom meeting so you can watch this episode on our BIMThoughts YouTube channel as well as listen to it in Podcast form! We had a great chat with Anthony Hauck CEO of Hypar about what they have been up to over at Hypar, their new website, … Read More →
In this Podcast, Marcello, Carl, and Melissa are joined by Anthony Hauck from Hypar and we discuss Generative Design and many other topics including how to decide on what to order when joined by your friends at Lux Cafe at AU. Hypar Logo from Hypar https://hypar.io/
HYPAT är tillbaka med en ny säsong! I dagens intro avsnitt diskuterar Jennifer och Julia sommaren som gått, hur poddens koncept kommer se ut och vilken serie som fått hjärnans kugghjul att snurra. Varmt välkommen till en säsong fylld av ... ja vadå?
Nicole delar med sig av sin bakgrund inom karate och varifrån hon fått sin starka vilja och pannben. Vi får även höra henne kring sin tid inom militären, sin nuvarande relation till crossfit och hur hon "halkade" in i OCR. Vikten att hitta balans och lugn är något hon också delar med sig utav, trots sin hypade namn på Instagram.
What You Will Learn: How is technology changing the building industry What skills and areas of study should you be focussing on to set yourself apart in the building world? Valuable industry insights from a venture capitalist’s perspective In the latest episode of GWP’s Constructing Brands podcast, we speak with Jesse Devitte. Jesse is the cofounder and general partner at Building Ventures, an investment group that partners with visionary entrepreneurs that are reimagining the world we live in through technology. The world is rapidly changing, with technology at the forefront of these changes. This is true for the building materials industry as well. More than ever before skills in areas such as CAD design, computer software, computer science, and other related fields are being highly valued in the building world, and by investors. Jesse discusses how the building materials world is being shaped by technology, how it is impacting the future of the industry, and what venture capitalists, like himself, are looking for in building companies to invest in, partner with, and create a better-built world. About Jesse Devitte Jesse leverages his hands-on operating experience and industry contacts to source and nurture innovative companies applying technology to design, build, and improve our world. At Building Ventures, Jesse coleads the Investment Committee and currently manages the firm’s involvement at the board level with Hypar and Join.Build while working closely with the teams at Blokable, Built Robotics, Dandelion, enVerid, Join.Digital, Measurabl, 75f and Smartvid.io. Previously, Jesse represented the firm’s investment in Assemble Systems (acquired by Autodesk) and Borealis Ventures’ investments in Honest Buildings (Acquired by Procore), Newforma (acquired by Battery Ventures), Envista Software (acquired by Accela), Handmark (acquired by Sprint), IrisMaps (acquired by OmniEarth), Scribe Software (acquired by The Mustang Group), SketchUp (acquired by Google), SpaceClaim (acquired by ANSYS), TinkerCad (acquired by Autodesk) and VICO Software (acquired by Trimble). Prior to co-founding Borealis Ventures, Jesse served as an executive in two public application software companies. He helped grow Softdesk from a New Hampshire start-up to a successful venture-funded public company as an Executive and Board Director concluding in the sale of the business to Autodesk. While at Autodesk, Jesse led the integration of the two companies and served on the Autodesk executive staff as the Vice President & General Manager of the AEC Market Group. He is a founding member of the Urban Land Institute’s Technology and Real Estate Council and serves on the Freddie Mac Housing Technology Council. Jesse graduated with Distinction from the Indiana University School of Public and Environmental Affairs and completed his military service as a member of the White House Communications Agency. Resources: linkedin.com/in/jesse-devitte-01768b45 buildingventures.com
This week's construction tech news with James Benham (@JamesMBenham), and David Sombrio. Featuring: - Interview with Ian Keough (@ikeough) from Hypar (@HyparAEC) - Construction Tech News of the Week Follow @TheConTechCrew on social media for more updates and to join the conversation! Listen to the show at http://thecontechcrew.com Powered by JBKnowledge Learn more at http://thecontechcrew.com or follow @JBKnowledge & @TheConTechCrew on Twitter.
Bentornati su Snap e buon San Valentino!Curiosi di sapere di che rubrica si tratta? Lo scoprirete alla fine di questa puntata, dopo aver ascoltato gli argomenti che vi racconto, particolarmente "sugosi"!Si parte dall'hardware, con il consiglio per la miglior eGPU ad oggi disponibile per Mac; si passa ad argomenti software che riguardano la realtà aumentata e la progettazione generativa (o generative design); facciamo una pausa in cantiere per veder passare un robot che fa scansioni 3D del costruito, per arrivare a parlare infine di un progetto di classe BIM Level 2.Buon ascolto!—> Capitoli[1.00] Canale Telegram di Snap https://t.me/snapperarchitetti[1.39] Automatizzare l’esportazione dei file HEIC[3.47] Il mio dock USB-C https://amzn.to/38qN7qH[4.35] La miglior scelta di eGPU per il Mac https://youtu.be/3MwPncpJtF0[10.09] La realtà aumentata nel mondo dell’edilizia http://www.bimplus.co.uk/analysis/augmented-reality-can-it-bring-real-change-constru/[15.57] Hypar per la progettazione generativa in cloud http://www.bimplus.co.uk/news/app-store-style-design-platform-aims-revolutionise/[21.59] Robot che crea mappe 3D dei cantieri http://www.bimplus.co.uk/news/spanish-robot-developer-wins-2m-seed-investment/[25.23] Progetto di classe BIM livello 2 https://www.applecoredesigns.co.uk/newsandreviews/maber-wilsthorpe-school-bim-level-2-project-delivered-in-six-weeks[32.36] App dell’architetto: Macs Fan Control https://www.crystalidea.com/macs-fan-control[35.50] Saluti--> Se vuoi unirti alla discussione sugli argomenti trattati nel podcast puoi trovarmi su:- Twitter https://twitter.com/Architecday - Instagram https://www.instagram.com/architecday/- sul blog Mac e Architettura https://marchdotnet.wordpress.com - canale Telegram SNAPPer https://t.me/snapperarchitetti —> Piaciuto l’episodio? Lascia una recensione su iTunes seguendo la guida di Filippo Strozzi di Avvocati e Mac https://www.avvocati-e-mac.it/podcast/itunes o contribuisci a sostenere l’infrastruttura di Runtime http://runtimeradio.it/ancheio/ anche via PayPal https://www.paypal.me/runtimeradio ; se invece preferisci, puoi farlo in modo del tutto gratuito utilizzando questo mio link sponsorizzato Amazon https://amzn.to/2ZeSj0m quando vorrai acquistare un prodotto presente su Amazon: l’importo non subirà variazioni ed una piccola percentuale di esso sarà donato a questo podcast.—> Tra l’altro, puoi ascoltare il Podcast anche su Spotify https://open.spotify.com/show/1UEjAubCtDXhQ7YZoCWzyP?si=mLaoi09sTdOlBC847f6uYA e vedere di cosa mi occupo sul mio sito professionale: http://www.studioemme2.itAlla prossima!Roberto.
Bentornati su Snap e buon San Valentino!Curiosi di sapere di che rubrica si tratta? Lo scoprirete alla fine di questa puntata, dopo aver ascoltato gli argomenti che vi racconto, particolarmente "sugosi"!Si parte dall'hardware, con il consiglio per la miglior eGPU ad oggi disponibile per Mac; si passa ad argomenti software che riguardano la realtà aumentata e la progettazione generativa (o generative design); facciamo una pausa in cantiere per veder passare un robot che fa scansioni 3D del costruito, per arrivare a parlare infine di un progetto di classe BIM Level 2.Buon ascolto!—> Capitoli[1.00] Canale Telegram di Snap https://t.me/snapperarchitetti[1.39] Automatizzare l’esportazione dei file HEIC[3.47] Il mio dock USB-C https://amzn.to/38qN7qH[4.35] La miglior scelta di eGPU per il Mac https://youtu.be/3MwPncpJtF0[10.09] La realtà aumentata nel mondo dell’edilizia http://www.bimplus.co.uk/analysis/augmented-reality-can-it-bring-real-change-constru/[15.57] Hypar per la progettazione generativa in cloud http://www.bimplus.co.uk/news/app-store-style-design-platform-aims-revolutionise/[21.59] Robot che crea mappe 3D dei cantieri http://www.bimplus.co.uk/news/spanish-robot-developer-wins-2m-seed-investment/[25.23] Progetto di classe BIM livello 2 https://www.applecoredesigns.co.uk/newsandreviews/maber-wilsthorpe-school-bim-level-2-project-delivered-in-six-weeks[32.36] App dell’architetto: Macs Fan Control https://www.crystalidea.com/macs-fan-control[35.50] Saluti--> Se vuoi unirti alla discussione sugli argomenti trattati nel podcast puoi trovarmi su:- Twitter https://twitter.com/Architecday - Instagram https://www.instagram.com/architecday/- sul blog Mac e Architettura https://marchdotnet.wordpress.com - canale Telegram SNAPPer https://t.me/snapperarchitetti —> Piaciuto l’episodio? Lascia una recensione su iTunes seguendo la guida di Filippo Strozzi di Avvocati e Mac https://www.avvocati-e-mac.it/podcast/itunes o contribuisci a sostenere l’infrastruttura di Runtime http://runtimeradio.it/ancheio/ anche via PayPal https://www.paypal.me/runtimeradio ; se invece preferisci, puoi farlo in modo del tutto gratuito utilizzando questo mio link sponsorizzato Amazon https://amzn.to/2ZeSj0m quando vorrai acquistare un prodotto presente su Amazon: l’importo non subirà variazioni ed una piccola percentuale di esso sarà donato a questo podcast.—> Tra l’altro, puoi ascoltare il Podcast anche su Spotify https://open.spotify.com/show/1UEjAubCtDXhQ7YZoCWzyP?si=mLaoi09sTdOlBC847f6uYA e vedere di cosa mi occupo sul mio sito professionale: http://www.studioemme2.itAlla prossima!Roberto.
Paul Waddell, Professor of City & Regional Planning at UC Berkley and Founder & President of UrbanSim, and Matt McMullen, Associate Principal at Abel Design Group join us on this episode 163 of Art of Construction. In our last episode, Devon spoke to Hypar about their plan to jumpstart the AEC industry with a tool that rapidly generates alternating building options using preexisting information and expertise from the built world. From that conversation Art of Construction was lead to Paul Waddell, who is doing something similar for the real estate market and urban development. Paul's platform UrbanSim is an open source model system used by Metropolitan Planning Organizations and others for operational planning purposes in a variety of U.S. metropolitan areas and internationally. Urban Canvas is a visual platform within UrbanSim that allows you to rapidly visualize various development scenarios and see their effects using up to date analytics and data from the cloud. Essentially, it is the Hypar for urban planning and development. Last but not least in the toolkit is Penciler, a powerful new web-based tool for multifamily housing development that lets you create and compare many different building options for a site, helping you to make better-informed site acquisition decisions. Together, what all this amounts to is a set of tools that cut through a ridiculously large amount of data to help make development decisions effectively and immediately. These decisions can range from where you should put a single multifamily unit in a certain area of San Francisco, to major city and state policy decisions made by governmental bodies. In an age where progress stalls because no one can agree on what the solid facts are, UrbanSim allows people the opportunity to put their differences aside and make real decisions using trusted data they can visualize immediately. Talk about a huge impact. Join Devon and Matt as they go on a journey with Paul to learn all about his amazing platform UrbanSim, the real estate market of the future, and how the ability to rapidly evaluate development opportunities will push urban planning to new heights and lead to better communities for us all!
Ian Keough and Anthony Hauck, CEO, Founder and President of Hypar, and Matt McMullen, Associate Principal at Abel Design Group, join us on this episode 162 of Art of Construction. After more than 5000 years of building, there is no doubt that there exists today an enormous amount of information and expertise on building designs. In order to take the AEC industry to the next level, Hypar provides a platform through which this building information and expertise can be captured and shared to use on other projects around the world. As college students, Ian and Anthony studied architecture as well as sculpting. While originally desiring to craft physical structures, they both eventually moved to software and the process of BIM and generative design for the AEC industry. Both ended up becoming veteran Autodesk employees, and after many years at the forefront of technology and design they decided they saw a need that wasn't being filled. This is what led the creation of Hypar. With all of the valuable data we're gathering in this age of technology and construction, it makes no sense that any construction project would start from a blank sheet. Hypar understands this, and as a web-based, cloud platform that can be accessed from anywhere, anytime, they are aiming to be a centralized database of building data and design processes that can be optimized by others to jumpstart their design work. Rather than replacing the architect, this process aims to augment the more standard and repeated aspects of architecture in order to increase overall design freedom and give the architect more options to work with. Join Devon and Matt as they go on a journey with Ian and Anthony to learn their story through the world of architecture and construction to software design and Hypar, how they're using generative design and a centralized library to evolve the way buildings are built, and how contractors and affiliates can put these tools in their own arsenal to improve their business.
https://www.youtube.com/watch?v=69mKuN1RG7A Nate Miller, Steve Sanda, and Trygve Wastvedt from Proving Ground discuss emerging technology and debate opportunities and concerns related to data collection and smart buildings. The discussion explores a range of topics including specialization, skills gaps, privacy, hacking buildings, and the role of the architect in designing smart buildings. Learn more about us: http://ProvingGround.io Discussion Outline Part 1: 03:20 - New tech discussion - http://Hypar.io and next gen computational design platforms Part 2: 01:09 Nate talks about quitting his first job. 03:05 Podcast format review 03:20 Discussing Hypar.io, next gen computational platforms 05:12 Architects and computational designers reinvent the wheel 07:03 Popularity of resources for free plugins 08:05 Challenges in bringing custom functionality "to scale" 09:54 What is the market for specialization?11:38 Disruption fatigue in the design workflow 15:07 Letting people specialize 22:02 Organizations protective over IP - What are businesses willing to share? 27:00 The line between business logic and standards 29:50 What is the incentive to share functions with the community? 31:55 Why we don't see pull requests on our open source projects 35:00 Data deluge - the opportunities and problems with data availability 36:02 Architects are trained to understand "public" and "private" space - is the line blurred now? 37:02 Buildings are getting smarter and also more hackable 37:50 Owners making strides in using their building data 39:51 Zoom.... enhance! 40:52 The advantage of more data 43:51 Using data to building the architect and owner relationship 46:46 Extending the role of the architect into operations 47:40 Telemetry and collecting data about people in buildings 50:48 The danger of people becoming the "product" 53:40 The importance of specialization in architecture related to data 54:54 The number of sensors is growing and not going to go down 56:35 Do smart buildings need a EULA or Terms of Use? 58:00 The need for better standards in data collection for buildings01:00:30 Smart devices in homes 01:02:21 Understanding the tradeoffs between privacy and convenience 01:04:57 Trusting the service provider 01:06:03 The scary future of public space 01:08:07 Are we directing or empowering?01:11:27 Conclusions and the duality of technology Learn more about Proving Ground.
Dana and I set down with Anthony Hauck of Hypar and Black Arts Consulting. We talk about Generative Design, Irritative Design, Machine Learning, and Artificial Intelligence as it relates to Design and AEC. Where to find Anthony: https://hypar.io https://www.youtube.com/c/anthonyhauck https://www.linkedin.com/in/anthonyhauck/detail/recent-activity/posts/
Hypar's Ian Keough on automating the generation of the built environment to help stakeholders make better decisions faster, writing code from his garage. Ian Keough (@ikeough) is the founder of Hypar. He writes code from his garage to automate the generation of the built environment to help stakeholders make better decisions faster. Trained as a fine artist and architect—and known as The Father of Dynamo—Ian believes efficiency breeds quality and automation yields better, higher-quality products. This episode uncovers the Ian Keough beyond Dynamo—including his life habits, tactics to get into the flow state and avoid distractions, and his new adventure to disrupt the architecture, engineering, and construction industry. As a sculptor, Ian built big commission artworks for artists in New York—rationalizing them with a pointing machine—with the help of early versions of AutoCAD. Before Hypar, Ian worked in the automation of building information modeling (BIM) workflows at Buro Happold, developing tools for the construction industry at Vela Systems, and developing Dynamo at Autodesk. He is surprised that the technology we envisioned years ago is not here yet and that, instead, all sorts of sophisticated and complicated technologies solve problems we don't have. I had a lot of fun talking to him. You can get a sense of the topics we discussed in the episode notes. We talked about daily habits, how he reserves time to exercise selfishly (and tries to run up to five times a week and surf at least once), his amazing commute, having a garage as an office, his use of social media, how he understands success, and a lot more. You can find Ian on Twitter at @ikeough and @HyparAEC, and at Hypar.io. Episode notes Who is Ian Keough? [00:43] Hypar is Ian's new adventure to automate the generation of the built environment to help stakeholders make better decisions faster. [2:07] How would you define yourself? [2:40] Diller Scofidio is an interdisciplinary design studio that integrates architecture, the visual arts, and the performing arts, based in New York City. [3:24] Ian's experience as an artist. [5:58] Drawing with a "CAD station." [7:15] "La macchinetta" or the pointing machine, is a machine used to accurately copy physical models, by registering three-dimensional locations in space. [9:15] How does your day-to-day look like? [13:30] Commute. [14:58] Work. [16:08] The flow state: Getting uninterrupted time to work, and doing email two days a week. [16:55] Dynamo is a visual programming language that Ian started while working at Buro Happold around 2010—to automate Revit workflows—an open source tool now maintained by Autodesk and a community of contributors. [18:37] A picture of the grid-shell ETFE roof of the Anaheim Regional Transportation Intermodal Center by HOK and Buro Happold in California. [19:09] Stephen Elliot, from North Eastern University, spent a summer as an intern at Autodesk developing what would become the second version of Dynamo. [21:48] What's your current involvement with Dynamo? [23:44] Open-source in architecture, design, and arts (and the appearance of "super-users"). [28:29] Does visual programming help code beginners? [29:57] Processing is an open-source computer programming language and development environment commonly used for creative endeavors such as live installations and digital art. [31:06] GenerativeComponents is parametric CAD software developed by Bentley Systems first introduced in 2003. [31:50] Explicit History was one of the early versions of Grasshopper, a visual programming language developed by McNeel that ships with Rhino. DesignScript is, in words of his creator Robert Aish, a programming language "at the intersection of design and programming," used as part of parametric and associative modeling workflows in architecture, engineering, and construction. "They had to have a language." [31:16] What is the mission of Hypar? [35:31] "That's not design." [36:57] What is the role of the architect or designer in this process? [38:40] What is the role of automation in our lives? [41:03] Daily habits. [47:20] Meditation. [51:04] Finding focus in the flow state. [52:30] How do you disconnect? [54:39] Do you ever get bored? [58:52] What's your relationship with social media? [59:42] Melinda Keough (@melinda_keough) is a creative and art director, and illustrator, based in Los Angeles. She has worked in advertising with companies such as Apple and Pepsi. [1:02:30] What apps and services make your life easier? [1:04:30] Are there any mobile apps you don't install in your phone on purpose? [1:08:04] "Technologies that solve non-existing problems." [1:12:16] A user interface you enjoy. [1:17:00] Markdown is a plain text formatting syntax, which is frequently used to generate HTML. [1:18:58] Unity is a cross-platform game engine used to create indie games, mobile apps, and interactive three-dimensional, augmented reality, and virtual reality experiences. [1:19:02] Revit is building information modeling software for architects, engineers, designers, contractors, and other professionals, developed by Autodesk. [1:19:37] "All of human emotion is flattened into a couple of possible responses: I like this thing or I retweet this thing." [1:25:11] "Mall art." [1:28:23] A purchase of $100 or less that makes your life easier? [1:31:15] What do you use to sync your data to the cloud? [1:34:00] "Efficiency breeds quality." [1:45:22] "Quality comes from the reproducibility of a process." [1:46:07] "Automation can give you a better, higher-quality product." [1:46:17] pix2pix is a generative adversarial neural network (GAN) able to learn a mapping from one style of image to another from a training set or image pairs. [1:50:51] Katerra "is on a mission to change [the global construction industry] by optimizing every aspect of building design, materials supply, and construction." [1:51:44] People mentioned Elizabeth Diller Matt Jezyk Stephen Elliot Anthony Hauck Zach Kron Melinda Keough Marie Kondo Elon Musk Robert Aish Peter Boyer Walter Isaacson Steve Jobs Isaac Asimov Submit your questions and I'll try to answer them in future episodes. I'd love to hear from you. If you enjoy the show, would you please consider leaving a short review on Apple Podcasts/iTunes? It takes less than 60 seconds and really helps. Show notes, transcripts, and past episodes at gettingsimple.com/podcast. Theme song Sleep by Steve Combs under CC BY 4.0. 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I veckans avsnitt pratar vi med Gabi från War Nerve om PSK och Alive & Well, Hypar lite nya plattor och djupdyker i Krishnacore med Marko från Borås. Stort tack till Marko för att han tog sig tid i att fortbilda oss om Hare krishna.
Olá meus amigos, é com muito prazer que anunciamos a volta do nosso WaveCast, podcast do extinto wavenerd.com.br, de casa nova, fazendo parte agora do Universo404, e neste retorno estivemos […] O post WAVECAST #009 | Pokémon Go – Temos Que “Hypar” apareceu primeiro em UNIVERSO 404.
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