Hi everybody, it's Sam at Mixed Up Craft and thank you for watching my tutorial today. I'm going to be showing you how to make this what is now, well I'm now calling it an M-fold card, but it started off with good intentions to be a Z-fold card, but now it's this. So you can see the M, the lopsided M shape there. So basically it stands up like this, I really like it, but it was a complete accident. Excuse the very orange yellowy fingers, that's from the i-zinc that I've been using to do these flowers which I'm going to show you during the tutorial. So basically if you imagine just the orange card, that is what I started making and I've put my mat on here and I just wasn't feeling it at all and I thought I'd just use that pretty much six by six piece of patterned paper. So I got out the card from the kit, so this is all using a lot of supplies from the hobby base dune kit and we got sent these scalloped-edged six by six card bases and I was playing around, I put it on top of that and this has evolved. So it's a complete accident but I think a good accident, I really like it. So yeah it's an M, it's an M fold card. So yeah and again it stands up like so, so that is the profile that you get, really nice and then it all folds flat and fits perfectly into the six by six envelope which also came in the kit. So you get three card bases, I actually got two of these ones so I got an extra one and I did say I'd do them a bonus card so these are the two cards that I'm doing. But yeah it's really nice, so the products I've used from the kit are the Bumble Bee die, I've used the Dinky dies, we've got this flower, the embellishments are from last month's kit I believe and then the paper there, one of the sheets of the Be Happy by Dovecraft collection that we got in the kit as well. So the bow, the sentiment and the orange card is my own but I am really really pleased with how this one's come out, so complete accident but I've managed to turn it around and not waste anything. So I'm going to pop that one to one side, what you're going to need is just bring in all my stuff so I've pre-done a lot of it just again to keep the video nice and quick. So this is the other six by six card base that we got and the envelope so I'll keep them to one side. I've got all these leaves here, again sorry these are from my own stash but you could easily just die cut just some you know green card and any leaves that you've got and you'll get just the same effect so I've just got a load of those. These are the flowers that I've already done, I've played around again because I haven't used, this is what we received in the kit as well, we've got this iZinc and it's a French company, Aladine, I briefly had a look and they do lots and lots of different colours and different blends, I know they've got like an acrylic blend, this one here, I'm not too sure exactly what this one is but it's just a very strong, it's just the same as your re-inkers, it's that kind of thing so like I said I'm not no whiz with that kind of thing so do look it up a bit more but I'm going to show you what I've done so you can see the flowers on this one here are not as vibrant in colour.  This time I die cut them all first just on white card so that is how they come out and you can see the detail on them so really cute but obviously quite boring when they're just flat like that so I have now completely brought them to life and you can see they're all raised up, got extremely coloured fingers, me and my husband went out for dinner as well and I had this colour finger it was quite embarrassing anyway so I'm going to show you just how to get more out of them and yeah I think they look really quite cool so I've already done four of them but you will need to die cut five so that's my fifth one ready. We got this dinky die as well which was the butterfly and sorry the bumblebee and that I've already die cut in just some gold miri card so I'll be using that one pop that one to the one side that's the dinky die that's the flower one so that's what it looks like. I'll share any links as well share all the links as always if you want to subscribe to the kit at the moment you've got now till the 21st of what we in July so you got until the 21st of July to subscribe for August's box okay and I'll share the links just directly below this and you can find out more about that that's the embellishments and then all of our mats and card bases so that's my sentiment I've already die cut that's a dovecraft sentiment brilliant I use this a lot happy birthday again I'll show as many links as I can right so you will need your I'd say this is the main car base because this is what I kind of stopped this is what I started off with at the beginning so this is a piece of 12 by five and three eighths of an inch I ended up cutting mine down because it was 12 by six so yeah sorry 12 by five and three eighths of an inch along the 12 inch side you want to score at five and three quarters and eight and seven eighths of an inch okay and then you want to fold up first on the half well say halfway it's not quite but that one in the middle and then down on that other one okay and then just make sure you go and burnish those score lines so all nice okay so there is a z-fold guard okay so um yeah I just wasn't feeling it so that's yeah just shows you can see that's how my mind works anyway things just evolve from something else um then you are going to need this piece here is to go inside your card I just sort of tied it together so that's what I'm going to write my message on you could mat another white on top of that but I can write on that card um so that piece there is five and a quarter square okay then to mat on your front so this is your front mat this is five by five then I've got this one which is this piece here on this bit this is five by two or three quarters and then I decided to layer up another piece on top of this one just I found I had a quite a little white space there which is why I've added the bow so I might not add the bow with this one because I'm now going to have this pattern paper so we'll see um so that piece there did I just say so it's four and three quarters by two and a half um and this was paper as well that was in the kit so like I said we got six sheets of the dovecraft be happy collection which you can buy separately so again all those links I will share so I've done all the scoring get rid of that so assembling it is actually all very very quick the longest part for me was to do the flowers so I'm going to grab my actual card base and then with that piece that we've just scored basically you want to position your card so it is landscape okay and then this is going to stick on top now I've done it so my measurement is that the top goes flush with the very top of the card so that you get this nice frame at the bottom so you can see all of that scalloped detail so that when the cards closed you see you can see it all the way around so if you don't have a scalloped edged card then you by all means can do this measurement you could have hang on if I turn this upside down so pretend this is your flat base of your normal flat edged base and card base you could have that flush with the bottom like so and not have that gap the only reason I've got that gap is because of that detailed edge that I've got but you can still have that flush with the bottom and then you'd have your frame around the sides the top and the other side okay so make sure it's in that position and then I'm just going to grab some of my wet glue and just stick this one down okay so focus like I said on the top you will get a nice just make sure you get your sides nice and even like so and then again just with your bone folder just go over and make sure that glues spread out and re-burnish that card a little bit more there as well okay so there we already have now the M fold okay so it stands up perfectly and it all folds completely flat and you can see now you get that nice border all the way around so then you just want to go ahead now and add your layers so this one here is going to go inside so okay and then this one or these two are going to go on the front so my white one first they should all line up with the layer on the back here so you've got the same border and then that one is going to go on top just think it ties it all in a little bit more like so so I'm going to go ahead and stick all those bits down okay so then open it up and if you're doing this piece you just want to stick that inside so again just going to stick that one down okay once it's all in place just go ahead and just burnish all those kind of lines again and then open it up and there is a cool shape I think it's really really good okay so now it's just up to you just time to decorate so I'm going to add my sentiment first because I like to build up all my flowers and things like that so this one here I have basically just already gone and stuck some foam adhesive on the back there so it's going to sit halfway on this piece here so half of it's going to hang off the top here so let me just take all this backing off and then you just want to carefully position it in fact I just do it that way because I've got the scallop detail here I can make sure I've got the same amount on each side and just coming in there I haven't pushed it down yet so I've still got a chance yeah I just want to move that over a little bit there we go let's stick that down done then I have my little bee so I know where that's going so that can be stuck straight down so again just popping just a tiny amount don't need much at all just pop that one there and then start building up all of these so I think before I stick the rest of them down I'm just going to show you how I got this all the different shades there so I'm just going to bring in my mat here which is already covered so I didn't want to obviously get any more mess where I didn't need it so I'm going to move everything out of the way because one thing I have noticed is if you spray this stuff it goes everywhere even if you spray it from a very very close so basically just a couple of pumps will come out I think it's because I've got a funny angle there we go already I can see specks here so it literally it's lethal so yeah move everything out of the way and just I've got this wipe with me just to make sure I can clear up anything very quickly okay so that's what we have let me get my dry cloth as well right so all I done was get my blending tool and just literally just suck up all of that pigment we've got way too much for this one flower but never mind okay and then just like you would blend anything else start on your mat I'm just going to rub some of it off there and just go around the sides and you want it to kind of dry as you're going around just in time for when it meets up again it will start to blend over but the color starts to change I do have way too much on this let me just get rid of some of this that's better so yeah don't go in as much as I had because I've done loads of flowers before so this is just for this one but where it's drying it's kind of going in a bit lighter now okay so that's that one you can see other kind of changes and then I was just drying them in between so I'm just going to quickly just dry this one off okay and then get a bit more of the and then I just dipped each corner of the flower right in and let it absorb a bit onto each end by the time you've gone around you start to get a really really dark color on the edges and then I just use my little brush you can see like so and brush away from you so brush out you just want to keep that real rich deep color just on the very very edges and they are really not they stay quite blendable for a while they're quite it's quite a movable pigment so I'm certainly going to look into it more because I do like the the finish that you get just get rid of that excess on the back and then just go ahead and heat set this again okay so I've just got myself cleaned up and just to show you there we go so you just see all the different shades you get from that one color so it is really good so I know by buying more of the set you're going to give yourself you know loads and loads of different shades so yeah do you recommend them think it's really really good and then all I done is I always have to bring my flowers to life as I say so I've just got my little foam mat here just one of these little tools and just roll the barbarian and just over to the edges of each of the little petals and it just gives it a lot more dimension now it's just lifted it off and yeah just comes to life so that's that one and then grab one of the embellishments from one of the past kits pop it in the middle obviously you don't have to do that it's optional but I do like I do like a bit of bling and now is the fun part so again you doesn't matter if you don't have what I've just shown you you can still create this card with just normal colored card and your flowers and your your away so now we just need to start putting this together so play around always kind of put them in place first I think some of these are a bit wet still on the bottom see where it's just created more maybe I'd be careful so just start laying them around I mean I know where I want mine to go because I want it to be the same as before so one in that corner one up there and then all the leaves will kind of nestle in around so some of them I put on foam here on these foam squares as well so I'm going to do I'm going to do it all but I'm going to speed this bit up just so you can watch me actually do it bit by bit rather than me actually talking through okay guys so there's the finished card so one thing when you start putting all these bits on is make sure you don't go over the outer card base with all of your decorations otherwise it won't fit in your envelope but now you can see there where that comes out again when it's flat in the card it looks really nice really presentable as the first kind of impression when they pull the card out and then they see that it does this as well I mean you could certainly do more on the back here you could put your more messages and sentiments there as well I'm just sticking with it all inside but you can see there it stands up beautifully so there's one and two two very different looks with the flowers if I put them up together there you can see but both equally nice and obviously with or without the bow now that I've got that paper there I just think this one I'm going to leave without the bow and I'm going to keep the bow on that one there so again more alternatives for you to obviously choose but I really like them so my accident has um yeah it's turned out well so I'm really pleased so I hope you like them too hope you give them a go and like I said before if you're interested in joining the hobby based club all of that information will be shared below and you can also find old unboxing videos and other tutorials that I've done I will share at the end of this video so thanks for watching guys as always please give me a thumbs up if you've enjoyed today and subscribe to my channel to see more thanks for watching bye


All hail Macbeth! All hail Macbeth! Did you read this book in high school? Because you probably should have to help you understand this film. I'm Brandon Keith-Avery and this is just my opinion. So Michael Fastbender is back on the big screen this time as Macbeth. I loved him earlier this year as Steve Jobs. He did a fantastic role delivering us one of the best performances of the year. Now the director of this film is Justin Kerzel. Right now he's filming somewhere during the video game adaptation of Assassin's Creed.  This thing was absolutely horrible. I could not wait until it was over. I love Michael Fastbender but in my opinion he didn't even do a good job. No one did. I mean to sum this movie up into three words it is monotone, soulless, and dry.   I have never seen so many people walk out of a movie theater and that is exactly what happened. I mean I've never seen a film a TV show or anything where sex between a man and woman where they want to partake is being led to believe it's more of a daunting chore than an act of passion. It was uncomfortable to look at. No one in this film was acting at all. Just a bunch of Shakespearean words that are played out like they're in the play but it just did not work for a film. And for the first two thirds of the movie it was a bunch of... That's how they were talking to each other and I'm just like oh my gosh what is going on? The only good things about this film was the very beginning in the very end because in the very beginning we had a very nice action scene that was pretty intense that calmed down on the gore but still showed it to you in a weird way without this being blood like this is a song movie everywhere and the way they slowed down some of the shots was like that old Max Payne video game and that was pretty nice but I don't know what it was something came over to me and I said you know what I bet this is going to be the only great scene in the film and I was right after that it was just a bore fist I mean oh my gosh I hated this movie if you was actually right here with me wanting to explain to you what really happened in this film I couldn't tell you because honestly I just don't know I mean I tried to pay attention I tried to focus but my mind just started to drift every other five seconds I was more focused on the brand of surround sound speakers in the theater than the movie that was on the big screen this movie was so boring guys I did not like this movie at all if I had to rate it out of a 1 out of 10 this gets a 1 out of a 10 yes a 1 out of 10 and that's pretty damn bad if you ask me but hey that is just my opinion just because I like a dislike something doesn't mean that you have to like a dislike something you may love this I seriously doubt it but you may love it I thought it sucked something serious this may be the best movie you've seen your entire life but like I said this is just my opinion so have you seen Macbeth do you want to see it have I turned you off have I turned you on do you agree with me or do you disagree with me let me know in the comment section below let's get this conversation going and keep it flowing if you liked the video go ahead and give me that thumbs up if you did not like the video that's perfectly fine just leave me a comment below why and still give me the thumbs up subscribe to the youtube channel so you get all the content that I have to provide in the past and in the future look at the bottom of your screen right now so you can find all my other outlets if you want to go over to the website to get a written review Facebook Instagram Twitter all that good stuff and share the video I'm not gonna get mad if you share the video but guys thank you for tuning in and before you go don't forget that my name is brandy key and that's just my opinion peace


Well, Bemidji State University celebrated Martin Luther King Junior Day today with a concert featuring his favorite songs. Lakeland News reporter Sherell Moore has a look at the tribute for this week's community spotlight. For Bemidji State University, Martin Luther King Junior Day means more than a break from school. It's a time to honor a great man and reflect on his message. He was a person who was an advocate for education and loved working with young people. Dina's students, Dr. Jesse Grant, led this year's program. He says Dr. King has had a significant influence on his life. Knowing Dr. King as I did and having studied him and having had a number of experiences in my life around those particular areas as a person who grew up with parents who marched with King and tell those stories with such delight and joy. During the program, there are performances from the BSU Choir, a jazz man, and a few emotional speeches given by facilitators from the Bemidji Boys and Girls Club. I knew a few things, one, Dr. Martin Luther King loved music, two, his favorite song was Precious Lord, three, a mantra of his life was if I could help somebody. So those were the songs that we sung today in our program. Bemidji State University wanted to make sure that Dr. King's message was heard, which is to spread love. Today, they celebrated with a day of service. Our students will be at four sites in the community, our food bank, they'll be here on campus working with United Way, doing bag buddies, and then they'll also be at the Boys and Girls Club doing on various service projects there. So the important piece is to look at the life that you're living, the work that you're doing and being able to be of service to someone. A documentary was shown about Dr. King on Friday so students can understand where he came from. Dr. Grant says he hopes the entire city of Bemidji will spread the civil rights leaders message today. It's an opportunity for you to sit back and reflect on those particular pieces and so it's not a situation of this person has, this person doesn't have, but it's how is it that we as a community can look at improving what's here in Bemidji, Minnesota, making sure that people feel welcome, people feel embraced, people feel supported. Reporting in Bemidji with this week's Community Spotlight, Shremor, Lakeland News. And nearly 50 B.S.E. students participated in the day of service today. If you enjoyed this segment of Lakeland News, please consider making a tax-deductible contribution to Lakeland PBS.


Hello, everyone. My name is Joel Gurren, and I'm the president and founder of the Center for Open Data Enterprise. We are a Washington-based nonprofit that works to maximize the value of open data as a public resource. And I would like to welcome you to today's just-goo program on building businesses on open government data. So today, my colleague Jed Sunwall and I will be very happy to field and answer your questions on this interesting subject. Jed leads the Global Open Data Program at Amazon Web Services, AWS, which explores ways for the AWS cloud to make data easier to discover, access, and use. Welcome to our program. So for those of you watching online, you can join our discussion by sending us your questions and comments through the chat roll on the right side of your screen, or through Twitter at hashtag Just Guru. Now, one more time, that hashtag is G-I-S-T-G-U-R-U. That's one word. Hashtag Just Guru. We'll be watching for your questions there. So while we wait for some questions to come in, Jed, good morning. Good to see you again. Let's start off by describing exactly what open government data means to us. Jed, why don't you go first and talk a little bit about how you see this resource, and then I'll chime in too. Sure. So governments, as we know, produce a lot of data. And in many parts of the world, the data that governments produce is required to be open. Increasingly, there are policies being passed at all levels of government that require governments to open up data and make it available to people. Now, a lot of that data is made available for regulatory reasons. It's data that journalists want, or that watchdog groups might want, or other types of regulators might want to be able to see, to be able to evaluate how effectively the government is doing its job. But actually, what I focus on is a lot of government-sponsored data are government-produced data that's useful to the scientific community. So there are many government organizations that produce weather data. They have sensors installed to create and gather weather data. And there are also many government programs all around the world that fund research to do research on the environment or in biology and life sciences and other areas of interest, economic research as well. And that research often also produces data that is required to be shared publicly. So when I talk about open data, I tend to talk about data that's produced by the government, but also sometimes data that's produced by government-funded projects. Yeah, great. And our organization, I think, would see open government data very much the same way. I think a couple of thoughts on it are that, I mean, what AWS has done has been to take on really some of the most useful and most difficult and largest data sets that we have, which are tremendously valuable as a public resource. What we see, and I should say our organization works both a lot with the U.S. federal government and with governments around the world. We've done work with the World Bank. We've done work with individual governments in Asia, Africa, the Middle East, Europe and South America. So pretty much everywhere, Australia and New Zealand as well. But what we're finding is that open government data can either be these very large data sets, or it can be in some cases much smaller data, or more manageable data, like, for example, registries of corporations, or data about a particular demographics in a particular geographical area that may not be as huge and complex a data set, but that can still be extremely valuable. And what we're very interested in, I would say, well, I would say there are two kind of classic uses for open government data, and we tend to focus more on the second. The first is open data for transparency and accountability. And a lot of the open data movement really started maybe about 10 years ago with a focus on governments releasing data that is really important for citizens to be able to know how the government spending taxpayers money, how the government is operating. And we're still seeing that as a very, very important agenda both in the U.S. and abroad. But we also are very interested in the application of open government data as a resource. So what can companies do with weather data, with demographic data, with data about healthcare and on and on. And I think that's mostly what we'll be talking about today. So having sort of set the stage, so, Jed, I'm going to ask you the first question. And then I'll add some thoughts. But what do you think of, when you think of companies that excel at using open government data to help build their business, what do you see as some examples, either specific companies or some types of companies and types of business that you've seen as really good examples of this kind of application? Sure. So I think one really interesting example is Airbnb. So Airbnb, you know, they basically had this revelation, this idea that there's a lot of remnant inventory in terms of places you can sleep in the world. And that they merely needed to connect people with that information. Most, you know, the real secret sauce to I think Airbnb's data is that they've gotten all sorts of people who actually have, you know, rooms to sleep in to trust them to list those online and put a price on them. But Airbnb is actually able to determine for what markets to enter into, what cities and neighborhoods to focus on based on census data that's produced by the US government. So I think one thing that, one thing I've learned over the years working with a lot of different governments is that we're really, we're quite spoiled in the United States because of the Census Bureau. They do really remarkable work and produce very high valuable, you know, quality data, and it's like fully open. So Airbnb is able to use census data to really determine like where to focus its business efforts. You know, not only like among cities, but also within cities and in certain neighborhoods and things like that, which I, you know, I've been pretty impressed with and they've certainly grown a very quick and large and successful business doing that. That's, that's a great example and that's, I think it's so interesting because Airbnb of course combines the data that they collect from all the people who either offer their places or want to stay in those places. But as you just said, the ability to use that kind of government data just tremendously maximizes and helps them optimize their business. We see when we look at businesses around the world, I think also two patterns. One is very much like what you just described, businesses that can use open data to do their business better. In other words, they would still have a business if they didn't get any open government data, but they can have a much better business with it. So we're seeing examples for, for instance, a lot of major retailers are using really sophisticated models now that include all kinds of things that affect their supply chain. It might be how weather patterns or different kinds of shipping patterns can affect how they get what they need and when they want to have certain kinds of items in stock and so on based on what they've discovered from analyzing data about buying patterns that are affected by these other variables. We're also seeing a lot of startups using open data in some creative ways and I think one really interesting example is what's happening around agriculture and you can see sort of the range of applications. So one end of the spectrum is the US company called the Climate Corporation, which has become a major example of a very, very successful open data business. They were sold to Monsanto a couple years ago for around a billion dollars and they've developed very, very sophisticated ways of using satellite and other data for what they're calling precision agriculture, right? So it's essentially figuring out how to give farmers and large agribusiness really sophisticated information about how to plant their crops, what crops and what cycle based on all the stuff that they can get from Earth observation. On the other hand, you have companies like M Farm in Kenya or Farmer Line in Ghana that are delivering just more sort of bottom line information for farmers in those countries that they don't need to do it by laptop. They can do it by cell phone, but at that level as well that information can be very, very helpful in similar ways. So we're seeing a wide range of different kinds of applications from entrepreneurs at the billion dollar end of the spectrum and the more modest end of the spectrum, but developing innovative approaches that are really useful for whatever country they're in and appropriate to that country. So lots to talk about today. We have some questions coming in from online and we're going to start with one that I think just builds a little bit from what we were just saying and I think is worth exploring some more. And Jen, I'll ask you to start on this too as well. So this is a question from Twitter from at the culture who asked what exactly does open government data mean and specifically if you talk more about is this data produced by the government or by government funded projects. And Jed, I think you just touched on that briefly, but if you want to talk about that a bit more because I think that's a really important point to clarify. Yeah, no, it is important. So I think it's worth, it's probably worth getting a little bit into semantics here. You know, when we talk about open data broadly, we were just talking about any kind of data that's free for use, reuse and redistribution without any license restrictions. So it's generally what what I'm talking about when I talk about open data. Then, when you talk about government data, really on the surface, you should be talking about data that is produced by the government says produced by a government agency, some sort of government body, and then it's made open as open data. So that would be open government data. There is a bit of overlap in this Venn diagram, it can be kind of hard to determine where, where the government ends and where researchers begin. But then you also have government funded programs or government funded research in the United States that's, you know, potentially funded by the National Science Foundation or the National Institutes of Health. They fund all sorts of research. Increasingly, the research funded by those government bodies, those grant makers, is required to be open. Now, whether that resulting data is government data or not, we can probably spend the rest of our webinars debating that I'm not really sure what the answer is or if it's really super useful. But I guess, you know, just to clarify things, when we talk about government data, perhaps we should, you know, just be a little bit clearer that when we're talking about government data, we're usually talking about data that is produced by a government entity, and then they've been required to disclose. Great. Yeah, I'd like to actually, I have a question for you to follow up on that a little bit too so so we've been doing a lot of work on both government data and government funded data and as you mentioned earlier this is really coming up a lot in the scientific research community. And there's more and more of a sense that if research is funded by a government and it could be the United States government, it could be the European Union, it could be a national government in another country. More and more of a sense that since it's publicly funded, that data should be made available for all researchers to use. So it's not just you want to have access to the final published article, you ought to have access to the actual data set. And at the same time, though, it's very difficult for a lot of researchers because the incentives for them have all been about, you know, if I publish this data, I ought to be able to use it first. And this is something that affects not only the scientific research community, but ultimately affects the business community because there are a lot of businesses out there that are scientifically based that would like to use that data as well. Do you see that as kind of a developing international movement to try to open that data? And, you know, what do you think might be some of the next steps there? Yeah, absolutely. I mean, I think, you know, I think where a lot of this is coming from is just from advances in technology that have really reached consumers and taught consumers to understand that, you know, sharing several megabytes or even gigabytes of data really isn't that hard or expensive. It's become somewhat trivial in many parts of the world because of internet access and just the general declining cost of technology. And so previously where if you were doing research and you're producing, let's, you know, say hundreds of megabytes or even gigabytes of data, you could, you know, very presumably and credulously just say, like, yeah, this is my data. I'm going to hold it and it's going to be on the zip drive in my desk or something like that, because that was really the only way to use this to store and transmit data of that sort of volume. And is that the roads in people's minds? It's becoming more evident that, you know, there's really no reason to lock that up. There's no that sort of physical technical reason why data should be hard to get. And so everybody's bias is becoming, well, data should be easy to get. And if we're paying for this with with tax dollars or public funds, it should be made more broadly available. The problem is, of course, that the policy environment that we have to support research comes from that same era when data was sort of hard to move around. And I just don't think it's caught up. I do the point now where people, you know, reasonably expect to be able to access and share gigabytes of data. But the policy framework doesn't just really support that yet. And it's a, it's a problem that we're going to get through, but it's a serious problem that affects sharing of data and research data all over the world. So I think, I think for people who have an interest in using the data, a lot of it is just to sort of make your voices heard and and see if there are ways. We've seen a number of cases recently, I think where data has been opened up in response to some real desire by the business community or by by NGOs to have access to it. And I think that that can be helpful. And that actually leads us right into our next question. A viewer is asking, and this takes us from like, you know, the huge, huge kinds of data sets that AWS works with that we've just been talking about to the other end of the spectrum. So a viewer is asking, it's often difficult to convince municipalities to open data for innovation. Are you aware of an effective strategy we can take to get more buy in from the government to open data. So, so let me talk about this one a little bit and then Jed, please, please add your thoughts. So we have a phrase here in the US, where people often refer to the very difficult to cure problem known as data hugging disorder, where a number of agencies and data providers tend to go like this when you ask them to release their data. And I think it is a normal human responsible one that we're all trying to get over. And, you know, certainly you can see that at a municipal level or at a government level. So one of the things that our organization has been doing. I want to talk about just for a minute is we are finding that tapping into the business community and really developing the use case for data can be the most persuasive way to to cure data hugging disorder and to communicate to national governments as well as city, state, provincial, local governments, that their data really has a use and that if it is released, people are going to find ways to really get value from it. Our group has developed something called the open data for business tool, or OD4B tool that we've developed in partnership with the World Bank. It is an open source tool that the World Bank is now using all over the world that others can use. And we also work with national governments in particular, although I think this could be applied to the city level as well. To to apply this as a way of demonstrating and developing the business case for open data use and what this tool does is it's a way of going in talking to the business community, seeing what kinds of open data they are already using seeing and then making that case to the government and we're seeing a lot of responsiveness. I mean, you're seeing this in terms of issues like corporate registries, health related data, economic data that once government agencies or ministries begin to hear the business case, they become much more interested in releasing the data because they know there will be a purpose to doing that and they know that they can help build the, fill the needs of the business community. So that's that's something that we've found potentially very, very effective and Jed, you know, would love to have your thoughts on that too.  So if you find something that works in one city, it might not work in the other city. But I think a general rule of thumb, I agree 100% with you Joel, if every city, and one thing I do know about every city is they want their economies to thrive and grow. And so if you can find any sort of demand from the local business community for data assets that the city might have and, you know, make a make a clear case to the city that their business community would once this data and would benefit from it would be happier if they had better access to it, then then you'll start gaining traction. But the important thing I think to remember here is that, you know, we talked before we mentioned before like a lot of open data discussion has its roots in transparency and an oversight by wash our groups and things like that. Unfortunately, I'm just going to call it like it is that those conversations don't usually don't go very far, right, especially when you're talking to cities that, you know, usually have pretty tight budgets. If you go in and say, hey, we really want you to open up your data, because we want to see how bad of a job you're doing everything we can make your lives harder. So what they hear is you're asking me to do more work so that you can make my life harder. You know, as a result, so usually those conversations don't go very far. So if you can find some sort of traction, where you can say hey listen, your constituents would benefit would benefit from this, they would like you more because of this, you're going to, you're going to get the conversation going. And then hopefully that'll lead to a more sort of open by default environment, which will eventually lead to more oversight. You know, I don't I want to be clear like I'm definitely pro transparency. That's that's definitely a good thing in my mind that you do have to be careful about how you start the conversation. Then one other thing I would just say is that, you know, think about if you can when you're working with government agencies their own business operations and their own costs. I had a great conversation with the district attorney in San Diego and San Diego County. I learned that they get public records requests, you know, free to move information act request for, for, for records and documents and things like that. When they get those requests, they have attorneys fulfill them. So they actually have, you know, pretty high paid staff have to take time out of their day and off of important case work to respond to those requests. And that opened the door for a really good open data conversation. So well, you can put those records online and make them available through some sort of online portal or service and save yourself a lot of staff time. And that was a good conversation to get things going. Yeah, no, that's, that's, that's a great example.  But, you know, there is a, there's another, there's a positive benefit to transparency in addition to the social good, which is, I think in many countries, demonstrating more transparency, demonstrating sort of more of an open book around government operations, government funding, finance, and so on, can actually be a way of improving the climate for foreign investments. So we've talked a lot about the value of transparency. It's in a sense, doing well by doing good, that it's not only the right thing to do, but it actually can be a very smart move in terms of developing the climate that makes it easier for to attract investment and grow national businesses. So we have two questions now in a row that are kind of bookends. One is, what are common business models for new data driven companies? And the second is, how can existing businesses, existing businesses benefit from open data? So, why don't we each talk about both of those? I'm going to start, I think a little bit, if I may, on the new new data driven companies, then turn it over to you, Jen, and then Jed, if you want to talk about existing businesses, and I'll, I'll pick up from there. So, the new data driven companies, I mean, this is very interesting. One of the other things that we've done at our center is we've developed a tool called the open data impact map, which if you simply search the words open data impact map, you can find it and we're always very eager for any kind of feedback or comments that people have on it. What we've set out to do is to do a world map in a searchable sort of a database of as many examples of organizations and businesses using open data, as we can find we now have more than 1700 use cases and it's still growing. So, when we look at the businesses that are using open data around the world, we find that about roughly half are small and medium enterprises and roughly half launched in the last five years. So, there's definitely a lot of startup activity around open data. And what we're seeing is that companies are using a range of different business models sometimes in combination. I can just give a couple of examples. So, one common model is to be a data intermediary. These are companies that might take government data. One of the issues that we've sort of just touched on a bit is that even when governments do release data, there may be issues of accuracy, timeliness, quality and so on. So, a number of companies have now set themselves up essentially as intermediaries that make government data more useful to other companies that want to use this to be data on anything from international trade to healthcare to many, many different kinds of models here. In terms of direct revenue generation, you know, subscription services that might make improved data or new kinds of data or new combinations of data available are part of that intermediary role. Consumer focused sites in particular, for example, sites that would provide use open data help consumers choose between different kinds of products and services insurance, for example, or others. Those may be advertising driven. We're seeing a number of companies that work through lead generation. So, for example, some of the successful real estate companies or websites where if they use open data to provide choices to consumers, somebody chooses a particular product service, whatever it is, there can then be a commission, essentially, to the to the site that has provided the that lead through open data. And then finally, we're seeing a number of companies that develop essentially consulting businesses. And this is very interesting model because there are some enigma.io in New York is a is a good example where they've done a wonderful job of taking government data sets, improving those data sets, and actually publishing the improved data for public use, which is a great public service. But then their revenue model is that they understand the data so deeply that they can then consult to major companies that want to figure out how to use government data to improve their business. So I think the good news is that we are seeing a lot of entrepreneurial activity, a lot of startup activity, and that there's really a range of business models developing that these companies can use to be successful and actually fill a public purpose at the same time. So Jed, what's your experience and how do you see that issue? Well, so yeah, I think, you know, one thing that you you touched on throughout is sort of there's there's a lot of work to be done in the sense making realm. So I talked, talked about this a lot where the government puts the data out there. I don't think it's realistic, or even reasonable to expect the government to make data available in ways that make sense to everybody. Right. If we're lucky they put it out in a machine readable, non proprietary format. And if they do that, I'm happy enough, right, because I see that is creating the opportunities for companies like, you know, like you mentioned enigma.io. I love what they do. They've got a really, you know, sophisticated team, they've got a smart team that understands data they understand how to work with it they understand statistics, and they understand data visualization, they're able to use all those skills apply them to the government data produce a useful product for a specific audience that, you know, in a format that that audience can consume and it might be another machine readable format, it might be a report, they do these really cool visualizations. And I think that's wonderful. Another one company like this is Planet OS. So Planet OS they take all sorts of data from know us they take all sorts of climate and weather data, not only from from you know the United States National Oceanographic and atmospheric administration, but from all over the world. And they synthesize various data, data sets and data sources, and then make those available via APIs and other interfaces that developers can use so they take data that's usually made available for a scientific community for scientific research, and they make it available in a format that's very easy for for developers to use. And also for like for energy companies to consume that otherwise wouldn't want to deal with the raw scientific data that comes out of the government. So, you know, we this, I think we hear this all the time these days, you know, like data is the new petroleum or something like that. So there's, there's a whole supply chain and refinement process that goes along with data and that's really where I see the business opportunities existing. The way the data is going to come out of the government, or from the government funded research is almost never going to be. Well, I'll just say it's never going to be useful to everybody. Right. So the business opportunity comes in taking that data and making it, you know, we're finding it as something that somebody else can use. Yeah, I think that's I think that's a great point and actually on our open data impact map and some of the other research we've done we've seen large numbers of these new companies really are functioning as data intermediaries or as you said they're in the sense making business which is I think a great way to think about it. So let's turn to the other side of the coin. What about existing businesses? What about businesses that have been around for a long time? How can they benefit from open data? And Jed, do you want to start on that one? Yeah, I mean, I think it depends on the resources available to the business. I think there are a lot of, you know, a lot of existing businesses will just think of a, you know, a medium sized firm that's been doing its thing for a long time. If they start to have spare resources, they hire new resources that can actually go out and find government data and start doing their own in-house research, that's great. I think a lot of ways that existing businesses are going to start benefiting from open data is by consuming new data products that are provided as a service that are based on open data themselves. So Joel, like you mentioned, there are all sorts of services they do lead generation or they provide some sort of subscription service like an intelligence report that you can subscribe to, that kind of stuff. I think that's how a lot of existing businesses are going to end up benefiting from open data rather than, you know, building their own teams to go look after it. Of course, it's very hard to say. There are countless kinds of businesses in the world. Some might make sense for them to hire somebody to start sifting through census data. But what I think, you know, we're already seeing happen and we're just going to see more and more in the future is that people will be able to buy data products and services that are informed by open data. And they won't even really know, you know, necessarily that it's coming from open data, but suddenly there's going to be a new service available to them that wouldn't have existed without open data. No, I think that's true. You know, one of the things we in the open data field talk about a lot, I think, is that if we're all really successful, then in 10 years nobody will be talking about open data anymore. It'll just be part of how we all do business and how we all live our lives in a good way. And I think to some degree that is kind of true about how existing businesses use open data. For example, you know, census data, I think direct marketers have been using census data probably for decades to figure out, you know, where they want to send their marketing appeals, how they want to target their marketing to different demographic groups and so on. I think we are also seeing some real new uses as data analysis becomes more sophisticated and has more different kinds of data become available. So, I mean, we tend to think of the uses of open data for business in two major buckets. One would be developing new products and services, and that's, I think, pretty similar to what we were just talking about a minute ago of how entrepreneurs can use open data, you know, an existing business can start a new line of business in a similar kind of way. But also, we talk a lot about or think a lot about how can businesses use data to optimize their operations. So, census data and demographic data, anything that relates to business intelligence, anything that relates to marketing, there are huge uses there. But we're also seeing some very interesting ways now that weather data, I think, in particular is being used. I mentioned before how retailers are using weather data around their supply chains. There's been some very interesting studies where some of the like Walmart or some of the major retailers in the US and I think in other countries in the UK and elsewhere will actually study, you know, what are the patterns of buying consumer behavior that track, you know, a hurricane warning or some other kind of weather event. And between that and then also looking at how weather events are likely to affect the supply chain that brings those products to the stores in the first place. We're seeing some very interesting things. We're seeing telecommunications companies now using demographic and social data in more sophisticated ways to figure out where to site the towers that drive their business. So, I think, you know, in some ways using data to improve your business is not a brand new idea, but I think the capabilities of using new kinds of data in new kinds of ways and bringing together open data with big data are really going to be more and more of a business resource in the years ahead. So we're also being asked, as we talk about how businesses and entrepreneurs are using open data, we're being asked also what types of open data entrepreneurs find most useful and what is there the most demand for. So of all this different kind of government data, what is it that people want to use the most. So we've seen a couple of kind of consistent patterns and Jed be interested to hear what you're seeing as well. Spatial data I think shows up everywhere. You know, mapping capability, the ability to, whether it's in housing, real estate, mapping different kinds of services. I mean, mapping applications I think are everywhere in terms of business applications. Transportation data. We're seeing as kind of a constant in terms of both business development, also municipal development, demographic data. We've been talking about a lot today, environmental and weather data. And also, I think corporate data. So in many countries, for example, we're seeing that when businesses talk about the kind of data they would like to see more open corporate registry business registry data is often very much at the top of the list. Curious what your experience is, Jen on this also. Yeah, it's very similar. I'll start where you left off. I think, you know, business permit data, business registration data is super valuable in cities everywhere. You know, if, if you can get that data in a machine readable format, you can get it in a timely manner. You can really take the pulse of the local economy and start making businesses decisions based on that. You can get insights and notes from where construction projects are happening, what sort of businesses are emerging and growing, what sort of supplies they might need, what sort of staff I might need. It opens the door for a lot of business activity and service delivery within the region. Geographical data is always huge and especially again, well really almost at any level of government, but just knowing what exists where is really valuable and isn't always available in the machine readable format, you know, knowing administrative boundaries, knowing, you know, certain like zoning regulations so like places where you actually can build a business or cannot build a certain kind of business all that kind of data is really really valuable. And useful to get. Increasingly, you know, so Joel, you mentioned, you know, interesting applications of weather data. The funny thing is, is yeah, before like, mere mortals couldn't really do anything with weather data because you needed a lot of computing power. And that's, you know, I'm a, I work for Amazon Web Services. So I tend to think that, you know, access computing power isn't really a huge problem anymore. Anybody can access pretty large amounts of computing power for, you know, for the period of time that they need it. So people are able to do interesting things with weather data in ways that we haven't seen before. And particularly around advertising, which is kind of interesting. Five years ago would be crazy for a company to think, you know, I really, I wonder which of my customers are in the rain right now, or have a coming rainstorm. And if I knew that, could I advertise to them, you know, that was like a pipe dream for an advertiser. Five years ago now it's, you can do that. Yeah, because we have that data now. You know, it is amazing the kinds of opportunities that have been opening up. So I think we have about two more questions and a few more minutes, and then we can have a couple final thoughts. But here's one, Jed, this is a technical question, so I'm going to ask you to answer this one. It's a little bit more difficult than me, but a viewer asks, even when data is available, many startups and small medium enterprises don't have the technical resources that they need to utilize these open data sets. So what can entrepreneurs do to access and use the data effectively? How can they deal with the technical challenges? Oh, I wish there were a silver bullet. I'll tell you this, I work with a lot of very technical people, extremely smart people and people are actually been very smart about data and data science. And I'm not saying to speak on the US Census Bureau, because I like I said before I love the US Census Bureau, but their data is very hard to work with. And so I'll often have these conversations people say like, Hey, let's do something cool with a census. And I'm like, Well, what do you want to do? And I go, I don't know something cool.  You know, you can spend a lot of time digging into census data to figure out how to make sense out of it. And there's really no easy way around it. You know, I, I hate to say this, but you might want to learn Python, you might want to learn are there are countless courses available online for free to learn how to start working with data sets. And working working with data, many of which are based on publicly available government data resources. So I look around for those, but there really is no magic bullet to learn how to, you know, work with data and make business out of it. If you have a specific data product that you need, you might be able to buy it as a service now through through some other provider that does the technical work for you. I would actually, I would actually have a somewhat different and maybe a little bit more optimistic view. And, and this is, I'm saying this as somebody who keeps meaning to learn Python and R and this still hasn't done it yet. But I would say if you're a business entrepreneur, you don't actually need to have the technical skills you need to find people who have them. Many places, not only in the US, but all over the world, those people might be, you know, college students or even high school students who are brilliant at coding, but may not have the business idea that you have. One of the phrases I've heard a lot about the application of open data is that the idea should be to start with a problem, not with the data. So, you know, we shouldn't all be sort of saying, gee, let's look at 100 data sets and see what we could do with them. It's more like, okay, I have a problem. Like, I want to help people find better housing or I want to help people find low cost healthcare. I want to help people, you know, be able to get to their do their commute more easily. If you are an entrepreneur and you have a strong idea and you have a general idea that of where the data is it's available. It's often really very practical to find the, you know, brilliant, brilliant coders who can take that on and who may want to do it as part of their own education and their own professional development. So I think really kind of an alliance between business visionaries and people with the technical skills often can be possible. Some problems with government data are very hard to solve like if data is simply missing or has not been collected or is wrong. That's very hard to solve. On the other hand, there are some issues where, for example, data simply needs to be cleaned up in various ways that can be amenable to technical intervention by non-government people. So I think that's at least the place I would say to look. So we have one last question. This is from a viewer on Twitter who's asking, this is a great question. How can open government data help address social issues? So I would say just about all kinds of ways. If you look at our map, the impact map, we make it possible to look at organizations by sector. You know, in other words, who's working on health or the economy or environment or education or any of these things. And we're really seeing applications all over the place, literally all over the map. And I think what's very encouraging about this is that it's not just NGOs and nonprofits and other kinds of organizations like that. Most of the companies that are using open data, I think have a social mission as part of what they do. And I think that's partly because of the kinds of people who are attracted to this work. And it's partly because when you're using open government data almost by default, you're looking at something that's an issue of great public interest and where there's an opportunity to make a difference. So I'm really very optimistic about the ability of open government data to help address social issues, either through a nonprofit approach or through a commercial approach that has a mission together with the revenue mission of the company. And Jed, your thoughts? Yeah, I totally agree. I mean, this is also kind of like I'm talking about a little bit my closing thoughts, but I really feel like the government has this purview. They have a lot of information about their boundaries. Right. And typically, for a long time, sort of like for technical reasons for nearly administrative reasons that that information just hasn't been available to most people. But now, thanks to technology, we can make that available to people. And what that does for society is it is a phrase I use a lot, which is it lowers the cost of knowledge. It allows anybody to know more about where they live. And in terms of societal issues, this is extremely important in areas in terms of things about access to housing, you know, the quality of education that's available to them, quality of public health that's available to them. All that information is known in some form by the government. And as they open that up and make that known to more people, that does create business opportunities. And it also creates, you know, in a healthy functioning democracy, greater opportunities for oversight from citizenry that will hopefully ultimately to better services for people. Jed, I think that's that's terrific. Is there anything else we need to wrap up? But is there anything else you'd like to say in closing or that you really like people doing this to keep in mind? Sure. I'll just echo what I just said. So this phrase of lowering the cost of knowledge, it's really helped me understand it's been useful for me to understand really the value of open data and where the value comes from is, you know, look around out there, look at your communities. Think about what you would like to know about the world and figure out, can we know that? Is that knowable? Does that information exist? And if it does, would anybody pay to know it? Is there a business opportunity there? If so, you might have an opportunity to find that data, take it, you know, you might have to match it up with another data set and produce some sort of product or service that other people would find valuable. And that's that's where the business opportunities lies, figuring out how to lower the cost of knowledge and then sell it for profit. No, I think I would, I think, you know, beautifully said, and I would agree with all of that. I guess the the only other thing I would want to emphasize is that, you know, every business needs resources, every business needs resources that it can acquire cost effectively and use for business generation, revenue generation. Open government data is a huge, huge public resource that we've barely begun to tap. So I think more and more in countries around the world, there's a realization that this data really does belong to taxpayers who ultimately paid to to create it, and that it can be tremendous benefit for citizens and for businesses as well. So I think we're really at a point where we're seeing much more government awareness and much more government eagerness to make this kind of resource available. In our experience, I think the more businesses can articulate what they need, the more governments are likely to respond. And you do not need to be a technical expert to do this, you need to have a great idea. You need to have some idea of where the data is available and it's more and more possible now to see that through government websites and elsewhere. And you need to be able to articulate how that data can be put to business use and public good. So I think the opportunities now are huge. I would say for myself, our center is always very interested in talking to people who have these kinds of ideas if we can be helpful, we would love to do that. I think in our bios, you can see how to contact either Jed or myself or you can simply find us online. But we'd really want to just sort of thank everybody seeing, viewing this today for spending some time with us. Hope this has been helpful. And please continue to think about open data, where it can go, and how we can all do well by doing some good by using this important resource for citizens and businesses for the world. Thank you very much. And thanks for joining us today.


We took this closet non-functional disorganized just a mess and we turned it into this closet popping looking like a fresh showroom floor and we'll show you how we did it right now. What is up? Welcome back. Do you like to do a builder make it? So do we and we have a new video each week. This week I'm going in the closet. Yes you would be surprised to know that one of us has a shoe problem. Me. Yeah and it's not me. Well at least it's not mine that we're gonna work on this week. Yeah not this week. She also has a shoe problem. It's just not as big and we had a kid move back so she booted all of my shoes out of my shoe room. Well we had a kid move back so I had to move my office into our bedroom which had this weird sitting area that we really had nothing in except for lines of vans. Just lines of vans so now we have to do something with those vans because they had to come out of the sitting area and my desk is now in there.  Yeah. My closet is like teeny tiny it's like six by six but there's so much stuff in there now and random clothes and clothes that are like ten years old that I don't wear they're just they're just in there for posterity really they're just hanging out waiting to become antiques. We have what's funny is we do have separate closets there is I guess a his and hers closet one is a small closet and one is a bigger bigger I wouldn't say it's all that big but it's a bigger closet and that's my closet so.  When you have 50 pairs of shoes in a tiny little closet it doesn't work so we got to find some we got to find the solution and that's what we're working on this week. So I want to do something with bikes because you know I love bikes I love bike even have a bike tattoo. I can't even express how much he loves his bike. I do. He didn't just love bikes he loves he's got a lot of bikes he just he loves them. He loves them. A lot of bike parts. Yes. A lot of bike ramps but anyway I couldn't think of anything like closet related. I couldn't tie bikes into closets so I figured a skateboard is bikes cousin and I'll just do like a skateboard themed closet makeover so that's what I'm doing today. Skateboard closet makeover! We did that to our own sound effects. She's like a beatbox you'd be surprised. Step one demo we're gonna demo everything in there we'll not really demo we're just taking everything out and pulling the shelves out. Right so it just has those builder wire shelves in there we're taking those out and we're gonna build a clothes rack. Now there's also alright so here's a funny story when we moved into this house Garrett has a dresser from 1982 I don't know yeah it is an old cheap super cheap what is it like laminated whatever particle board yes but some of it particle board it's swelled up some of it got wet so it's swelled up so one of my drawers doesn't even open anymore it hasn't opened in like a decade so when we moved as like this dresser is not coming with us and then somehow when we got here so movers move the furniture when we got here this was three years ago almost three years ago the dresser was in our bedroom when I went upstairs and I was like how did this dresser get here it was not coming with us so I made him put it in his closet if you're keeping it it is not sitting out here in this master bedroom it's not sitting out here so he put it in his closet and now it's time I think you're ready to let it go I'm ready to let it go so we're moving that out as well and we're gonna build a shelving rack this point of all that was we're gonna build a shelving rack he doesn't want a dresser no he wants to yeah to see my outfits I don't need the open drawers and peek inside and flip through it's not a filing cabinet I just want to walk in and see what color shirt I need yes he wants to be able to stack his shirts and look at them I think this is a this goes with ADHD really he wants a place to put all of his jeans he can see his jeans he can see all of his shirts I'm not sure like where your what is it your personables your intimates where those things gonna go my undies are gonna be outies so anyway we have we have some ideas so step one let's get everything out of that closet take down that builder grade wire shelving some issues removing the wire shelving we have a new lesson learned for you guys so now that we know how to do it I can tell you how to do it you need to use a flat head screwdriver to pry out the nail before you remove the bracket with the drywall anchor in the back because it is spread open with the nail so once you move remove that nail you can pull the dry the bracket and the drywall anchor right out of the wall and it does leave a still leaves a pretty big hole that has to be patched but it doesn't leave a four inch hole that has to be repaired that's what we had to have a little side what kind of project what kind of ape would just go yanking that wire shelving so we had a day we had a day delay in having to patch that spot and fill it in cute little patch thing there was a whole little patch kit just stuck it right to the wall out of the mud let it dry sand it we were good to go back in business a little paint good to go good to go now we have our closet all painted it's got a new little color scheme in there we're going to do some measuring and planning we're going to measure out what kind of space we have in our closet we know what we want to do and I'm going to decide how wide the shelves are he still needs a place he does have a few suits so he's got a place for some suits some button down shirts some dress clothes and then the rest of it I want it to be or plan shoes and hats as far as the eye can see we didn't even mention the hats for every pair of shoes he has a hat to match so he has just that many hats that's another shoe now the bottom half is going to have the dress clothes the top half are going to be shelves where he can put his folded clothes like a mullet except it's like a reverse mullet it's like business is down below already up top step three we're going to gather all of our supplies now we know what size the room is like exactly and we have everything planned out we even planned out a little like closet storage rack thing now it's time to gather all of our materials so we needed 19 2x4's we ended up just getting 20 just in case somebody messed up a cut 8 foot 2x4's yes 8 foot 2x4's we needed a 4 foot piece of pipe that's where I'm going to hang all my clothes and some floor flanges you know that's how we're going to attach to the 2x4's we need a bunch of brackets like a bunch like two for each skateboard and I have five regular standard skateboard decks and I found five plain longboard decks right L brackets are going to be for the shelving units for the hats the corner hats and then yep for the skateboards so I'm expecting where we have ten of these and I think we said 10 shells 10 shells for hats to 10 shells for hats yep okay so times 20 kind of match 40 40 brackets here like there's like 40 brackets and then of course a new light fixture we have that corny light in there and if we're going to do cool skateboards I don't want that like nipple light it is the most boring light in the world yes and I have some sheets of MDF that I'm going to use for my hat shelves I went with MDF because it kind of looks like skate light and it reminds me of our ramp surfaces bring it back to the lamps step four we're going to make all of our cuts we're going to cut 22 by fours at 48 inches long we're going to cut 14 2x4's at 14 inches long and then we're just going to leave 4 2x4's at 96 inches long 8 feet so basically for each end we're going to make a rectangle and then we're going to add just spray supports for shells all the way up and we should make all of these cuts with my pocket saw wow like up in the air you did he's like he's late like that he just slips right out of the pocket yeah I'm gonna make all my 14 inch cuts using a stop block I'm gonna measure out 14 inches clamp it to the table and that way every cut should be 14 inches exactly and if they're not every cut should be off about the same so measure once cut 20 times measure once cut 14 times and all the other 2x4's we're just gonna cut in half since they're not a true 96 we're gonna measure 48 inches from one side 48 inches from the other side and split the difference safety first our cuts are done got all the little 14's now these little 14's need pocket holes so that we're gonna hide the screws so it looks nice and fresh nice and neat on the front side yeah I got you okay what's four times 14 babe 56 56 pocket holes a lot of holes how's your arm feeling beefy beefy all right some of these edges are looking a little rough little frayed and some of these holes are looking a little frayed from the pocket holes so we're gonna sand this up but I have I have a dilemma yeah I don't know what to stain this little shelving unit thing I like the my raw wood look of the skateboards I like the natural look so I don't know if I want to keep this natural or like stain it briar smoke yes he's like oh I won't I won't stain it at all I want to just keep it the natural wood and I was like you're just gonna look like you got two by four lumbers in there we don't want to put lumber in there not lumbers lumbers two by four lumbers lumbers jacks just lumber in there it just it would look unfinished so then we talked a little bit about maybe we would just add a coat of poly on it and just give it a finished shine to it kind of like that thing but I'm still I'm still not sold on that so I'm I'm influencing a little bit that we go ahead and stain it a color and we're gonna I think we're gonna do it in briar smoke so I guess we'll do it in briar smoke and we need to do it so we're gonna go ahead and stain it just unassembled and because we can't make this thing and take it upstairs it's too big so we're going to have to stain all of our pieces and assemble it when we get to the closet yeah assembly should be easy because all the pocket holes are done so sand and stain let's do it back to the home improvement store because we ran out of sandpaper there was a lot more sanding than I thought there would be and I found this stand instead it's colonial maple I thought maybe we try to match the skateboards I decided I hated this stain it looks nothing like a skateboard I'm just gonna leave it natural so either this is gonna go on the bottom of the bottom shelf or the top or the top of the top shelf so everybody sees it this is horrible it looks orange I don't like it step by now we're gonna assemble it so we're gonna start our assembly here in the studio and then we will assemble the rest of the shelving unit in the closet so we're gonna assemble the end brackets which are basically a large box on either end and then once we get upstairs we'll start outing adding the shelves every would you say every foot yeah we're gonna starting at four feet up because we need enough room to install a bar yeah yes for clothes for his suits and things like that my suits it does for hanging items my hanging items my goods all right now as we mentioned before we opted for the new statement look so well well this may not look finished to you it should go with the aesthetic of the closet very skateboard-esque okay that's the plan sides are all pinned together we're gonna take them up to the closet and put them in place we're gonna attach the shelves with this one and five eighth inch screw you know as we add the shelves it'll become more stable and I ended up ditching the two by fours and I went with a one by 12 by 48 inch project board not because the two by fours look lovely step six now we're gonna install the skateboard shelves using some L brackets and we need like a thousand wall anchors yes use the wall anchors to secure the L brackets to the wall before I get the skateboards all the way on I decided to add some LED lights to make it pop we're gonna use some gorilla tape on top of the L bracket to hold the skateboard in place until I can secure it with this little half inch screw I rounded out these shelves I used the glow forge to cut out some shelves for my hats I could fit three hats per shelf and we use the same L bracket technique for these shelves even more drywall anchors even more holes we just patched a bunch of holes step seven still caught it how we install the light that ugly nipple-looking light thing has to go I can't have some cool skateboards and some lame lame late Kim's gonna go kill the power and I'm gonna change up the light a step the most dreaded step putting everything back in the closet so what do you think you jealous I know you are I it turned out way better than I thought it would I mean it looks like a van shop I I'm happy with my closet now and I can see everything and I know where all my shoes are see all my clothes I'm happy that you're happy with it and it seems like it'll be functional for you as I started this project I think I shared you know those with a little ADD can't handle their stuff hidden in drawers so I think by keeping these things on these shelves can see everything that he has and you'll be able to use more than the first thing that's on top you know three shirts and one pair of pants I just recycle the things as they come out of the wash I don't think I've worn anything that's been in that dresser in a year all right it's time for me to go so if you're not gonna join us for the after-show on patreon I guess I will see you next week where we'll do a building to make it again and I have nothing to balance because everything's in the closet so I'll show you a bunch of closet shots right here