 Awesome. So I'll be talking about a product we're building here at crypto econ lab called Atlas.storage. So I'll quickly go over, you know, what Atlas is, what the vision, what our vision and roadmap looks like, why we think it's important to build this product, and how the market opportunity and the falcon economics kind of drive the reason of why we're building this product. So the big vision for Atlas.storage is to store humanities geospatial data and make that available through APIs and SDKs to anyone. So that means storing fast retrieval, computation and integration with smart contracts to be able to do stuff on chain. And so, and then if you think about this as like, this is like an end to end like web three native development platform, whereas like today, you know, we have a lot of like these centralized web two native development applications. And then the other part to this is to build a community that advances geospatial data sets, but also builds web three native technology and GIS. So an example of this is if there are any like geospatial data or GIS experts out there, there's a lot of stuff with data being siloed and stored in different servers, different formats, APIs and integrations being locked in to specific vendors, and then having trouble being able to do computation on them or like having to download the data set and do computation on AWS or GCP. And so we want to bring all of this into the decentralized web and you know, obviously Filecoin and be able to do storage retrieval and computation. So, so what does that really mean, right? So I think providing an end to end service that supports storage retrieval and computation unlocks use cases that didn't really exist before. And so for example, you can think of a you can think of a scenario where like a company can a company or a person or a researcher anyone can pull data from Atlas dot storage and then run do some sort of computation and then turn that turn that computation into a transaction based on a smart contract. And a concrete example of this is you can imagine there have been, you know, a lot of wildfires in California. So wildfire destroys a part of California or a neighborhood. And so an insurance company can use Atlas dot storage to look at an image before the fire and after the wildfire run sort of run sort of computation, which in this case could be like a computer vision algorithm. And then based on the output of that computer vision algorithm, execute a smart contract transaction that would pay the homeowner some money to start rebuilding their home. And so like a workflow there now there are a lot of workflows and insurance, finance, defense, and other industries that like could really use help for like these kind of workflows that today it takes like months or weeks, I'm sorry, months or weeks to happen that they could like do this in hours or days. And so those kinds of like productivity gains or unlock news new use cases really exist with this kind of workflow that don't exist today. The second part to this is a community driven approach where the community is super passionate about finding useful geospatial datasets and uploading it on the Filecoin network. So you can think about like, you know, now right now we're talking about uploading, you know, one data set or two data sets, but eventually you want to upload all of the humanity's geospatial information. And one single entity cannot do this. There needs to be, you know, lots of nodes, lots of people uploading geospatial datasets and a problem that, you know, that's going to be really interesting to solve that we're looking into is how do you verify that data set is actually the data set that claims to be. And I'll give you a small example here. A small example is like you can take a satellite image and say you're looking at that satellite image, right? How do you know it's not been manipulated? How do you know that the pixels that you see on the image are the true pixels of what was captured by the camera, right? So like this kind of like being up, having a community being able to upload it and then being able to verify that that data is what that data says it is is super important. So a little bit about the roadmap of what we're building here. So we're going to start storing satellite imagery on the Filecoin network. And the first step is to store all of Landsat. So Landsat is this program started by NASA and USGS in 1972 that has been taking pictures of the Earth for the last 50 years. This program has about 10 petabytes of image captured already, and that's growing as their sensors and their images get better over time. After that, we're going to move to other satellite imagery, other geospatial data. You can think of this as like topography, natural disaster perimeters, water levels, air temperature, all of these different things, right? Like it could be transportation of cars, any geospatial data. And then the third part is to partner with existing geospatial data companies to integrate their data into Atlas.Storage. And we think this is important. So like, you know, first we can start out with like public data sets, right? It's online, you download it, you make this available through Filecoin network. But that's like not all the value that exists in the world with geospatial data. There's a lot of companies building proprietary data, proprietary geospatial data that like never gets to see light of day or there, you know, very few companies get access to it. That can make a lot of difference in like company building, policy development, research, et cetera. So our timeline, our timeline for the next couple of years kind of looks like this. So you can see that by end of Q2, we plan to launch our MVP. Our MVP will have being able to work with Landsat 9 and retrieve that image. By end of the year next year, we want to have all of Landsat, which as I mentioned, 10 petabytes and computation. So integration with computer over data or smart contracts integrated into the Atlas suite of developer tools. And then after that, we want the community to be able to upload data sets. We will upload other useful data sets that we think that are great. That could be an example of European space agency, satellite imagery, other satellite imagery, other land classification, geospatial data. And then also like building some sort of verification network where you can verify that the data has not been tampered with. So I talked a little bit about like why briefly. But I think we think the reason why that geospatial data is important and why we're building Atlas.storage is that geospatial data is core to what humans do every day. There are also use cases and you know, metaverses, climate, lending, insurance, construction, et cetera. But one big part is, you know, being able to prove that like the data that we are seeing today is the same data that you know, that you're using in your applications. The other cool part is that, you know, there's like hundreds of petabytes of geospatial data and it's growing. And so being able to like build an archive of all this data and make that potentially useful unlocks really cool use cases and research and in company building, which is something I'm super passionate about. And then finally the market size is really big. So like, you know, there's like a lot of value to be unlocked, a lot of value to be gained and a lot of value to be captured from this. So and of course, right, like I'm sure a lot of you have seen the slide by now either here or before, but the mission of Filecoin is to create a decentralized, efficient and robust foundation for humanity's information. And this mission of Filecoin really aligns well with the mission of Atlas.storage, which is to put all of humanity's geospatial information and make it accessible on the decentralized web. So before I get into Filecoin economics, I want to get into like, you know, market size and the kind of the cost of this data. So satellite and aerial imagery market size is estimated to be 30 billion by 2030. And when I say satellite and aerial imagery market size, you can think of this as like satellite aircrafts flying in the air underneath the clouds and drone imagery. This is image capture only. So this is not storing image, retrieving image computation. This is image capture only. And then the geospatial analytics market size is estimated to be 110 billion by 2026, which is, you know, not that far away. And as you can see, it's like a much bigger market as as a, you know, seems pretty obvious over the last 20 years, but over time, like certain data will become a commodity and like the analytics of that data will be the thing that generates value. And then one like one flip to this as like commercial satellite satellite imagery can cost like $20 a square kilometer to store on an annual basis with GCP or AWS. And so like the that means that like the US land area would cost $180 million per year. And then the world land area would cost $3 billion per year. So you can you can quickly realize that they're like not a lot of organizations that kind of can that can store this information. There might be a few governments, few private companies, but it gets very costly, very fast. And this is where the Filecoin economics really kick in. And it's because you can drop these costs by like, you know, an order or two of magnitude. And if you think about why, or if you think about why this brings value in a business like or in a business where you have to like store a data, say, say you're just storing, you know, geospatial data for for the US and it costs you $180 million. You're storing something that costs $100 million. That means that like, you have to like pay for the cost of those $100 million, right? And you do this, you monetize that data. And when you monetize that data, there's not a lot of people that can pay you $100 million to generate $100 million in revenue just to just for the cost of that data does not include, you know, whatever operational expenses you might have. By dropping this cost by order of magnitude or two or whatever it may be, you essentially create a much larger user base for that data. That means there are more people who are willing to pay for it. If they're more willing, people willing to pay for it, and you have to pay less, you can, you know, you can lower the price and and and still generate a lot more revenue than you would have in like your previous in like the previous world of centralized computing. And this is what leads to like real value gained because then all those people can again do research and build companies and and do whatever they were going to do with that data. So that's kind of why the Filecoin economics really is that's why Atlas storage is a good use case for Filecoin. And then, you know, some of these stats, as you can see, right, like, I think Filecoin has over 16 or 17 or 18 exabytes of storage capacity. The geospatial data is in the hundreds of petabytes and growing. So that means that like a lot of that excess are not excess, but a lot of the capacity that exists can potentially be stored held by geospatial data. So to recap. So, you know, Filecoin is the, the Filecoin network is the perfect place to store this kind of large scale geospatial data. Computation and smart contracts unlock the true value, just not the data, but you know that that didn't for opportunities that didn't exist before. And we need help to build this. So, so if you are, you know, an engineer or data scientist or in any way you're interested in helping us build this product, come reach out. Our contact information is right there. This is our website or Twitter handle. And if you're in Filecoin Slack, you can join the Atlas Slack channel. If you're a storage provider who's interested in storing geospatial data, again, reach out. I think there might be some, you know, some ways we can help each other. And then the biggest thing is like if you are an entrepreneur and a developer or a researcher who's interested in using this product, I think we could do great things. So, thank you. Any questions? Cool. Thanks for your presentation. That was very interesting. There's a team out of University of Maryland that's been funded by the Filecoin Foundation for the Web. That's doing stuff with Landsat 9. Are you guys working with them to do some of this stuff? Yeah, so very, very cool group of people. Thanks to the Filecoin Foundation. We were put in touch with them. And we're trying to figure out a way to like work together for specifically Landsat 9 so that we're not, you know, wasting resources. Amazing. It's my former grad student. So I'm like, oh, I better make sure he gets it. Yeah, that's great. So you said you can lower the price by one, potentially two orders of magnitude. How is that going to work out? Yeah, great question. So, I mean, I think part of, you know, part of how Filecoin works today is that it is, as of right now, negatively priced data, right? So like I think that, as CB mentioned, that's going to change the future. But like that's part of the reason why we're going to be able to build something like this right now. And then over time, the cost will drop naturally for, I mean, storage costs all over the world will drop naturally as that changes. But that's really what's, the fact that we can do that today is what's really driving storing all of this data on the Filecoin network today. Yeah, but I mean, when you say today, right, I mean, we all, I think, agree. It's anomaly that you have, you know, negative pricing on that, right? Eventually the market will catch up to that. All right. And then, and then what sort of the price is the long run? You get, did you do any modeling about that? Yeah, no, absolutely. So I think, okay. So yeah, so great question. So I think the real answers to that is that over time, like people are going to, you know, pay for the data, which is for using retrieval markets and compute markets. And like that is what's going to generate revenue that will like, you know, offset some of the costs for storing that data. Okay. But I mean, a hundred million or so is a lot of money, a lot of revenue you get to generate on an annual basis, right? Yeah, yeah, I do agree with that. I just, I think that like having more people accessing that data will like lower the cost per user. And so like over time, the theory is that like, if more people are paying, you know, some more people are paying for access to that data, that specifically will offset the cost of, you know, a lot of that storage cost that we're seeing today. Yeah. Yep. Thanks for the talk. Are we, are we seeing, are you planning on making some sort of standard for how this data should be perceived? Like there's different formats of parquet or just for geospatial data. I'm just curious if it's like special format or it doesn't really care like just upload a bunch. Do you have any thoughts on that? Yeah, no, great question. So I think one is that there's already a lot of good open standards for geospatial data and we're not trying to create our own open standards that the geospatial community has already created, right? They've done a really good job. Like for example, if you're searching for geospatial data like metadata search, such as stack or satellite imagery using cloud optimized geotifs, right? These are standards that have like proven to work for like a set of use cases. And so because all this geospatial data, this is not geospatial data, all of this data exists already. We're unlikely to create new formats today for like how the data is stored. Now it could be that because of the way that we're going to store in Filecoin, it might need to be like stored a little bit differently than you would on you know, like a traditional SSD. And so the way that that data gets retrieved might change and I'm not sure and we might create open standards around that. But at the end of the day, like I think most users are still expecting data to be returned in some sort of like format that they use today, such as JSON. Yeah, I think it's kind of a follow up question. But like it does feel like to get to the point when you have like the end product, you need to solve a lot of technical issues. So I was wondering whether like this is like this is from the start considered as part of the bigger initiative of like getting faster retrieval and kind of API ready data out of Filecoin storage? Or is it more like a test project that might later lead to that? Yeah, great question. So I think I think that what's going to happen is that like people are going to make progress really fast on like getting retrievals or getting data out of Filecoin. Similarly with compute, we have our own timeline, but we're working going to be working with like, you know, the teams that are building retrievals and the retrieval software and the teams that are building compute software to make sure that we are aligned so that we can do some of the stuff that we're talking that we're talking about here. We definitely don't want this to be something that we like invest a lot of resources and then, you know, push to the side or don't end up doing something with. Awesome. Thank you.