 Hi, everyone. My name is Prakar. I'm here from Common Flour to demo our maps as you guys. So Common Flour is basically a real estate online portal where we focus on three main needs of the Indian real estate consumer. Namely, they are buying, selling and renting of properties and helping apartments manage themselves and some real estate content articles and things like that. So let me get straight to the demo. Where would you guys like to stay in Bandar? Like, whenever you choose a place to stay, you always think of some place related to your office or whichever place you keep going visiting again and again. So the normal property search that we had, this was the main problem that people could not visualize, especially people who are coming new to the city of Bandar. Like say, for example, our friend over here. So our map search puts all the properties on the map which make visualization very easy. So let me start with the demo. So as you see, it's pretty simple. We've got a very small form over here for sale for rent, city and locality. So once you select a city, like right now I've selected only Bandar. So then it tells me the overall bird's eye view. So as I keep zooming in, it keeps dividing that one place into multiple zones and regions that we have. So when you go on each of these, you can see how many properties are available. So as far as I clicked on one of them, the net is pretty slow. Let me take this example over here. So this is zoomed in into one of the regions. So as you can see, this is a polygon where we actually demarcate the area that this is where the area lies. And if you click on any one of these again, it keeps zooming in until it finally reaches the actual property or the apartment. So like as you can see over here, we have a lot of data related to apartments. So we group the properties to the actual apartment. So if there are multiple properties in an apartment, they all come as one marker. See two apartments. And similarly, so like that you can use this and open the full listing detail page. That's where all the information about that listing is available. So as I said before, the apartment information is also there. So you can correlate to the nearby places that are there and what are the amenities available in the apartment, especially for a new person who doesn't know anything about the area. So suppose say he's joined an ITPL. So he comes and he knows only that Whitefield exists and he has to find a place which is close by to his office. So using this map search, he's easily able to find out and figure out like, okay, our school is here, my child will go to the school. So I need to find a place which exists between these two. So it becomes very simple. Search for Whitefield right now. Most of our geo data comes from Google. We use a reverse geo coding and things like that. So there are errors like Bellandour is marked inside the lake. So I mean, this is just the first iteration. And since we met a Google person over here as well, we're trying to build up. It's just for this one. I mean, you guys got that just a bit. Thank you. Any questions? How did you get this data? Like I said, we have a large database of apartments and for the apartments, our own data team maps the geocode. And once we find out that the listing actually exists in that apartment, we use the apartment geocode for the listing over there. The apartment geocode from the library. And it's a live process. And we also use Google's reverse geo coding. So that sometimes needs to not give such a good business. So why don't we ask the apartment developers to use an android for the listing? Like I said before, common floor has multiple things. One of the things is helping apartments manage themselves. So we have our own software which helps manage their internal things. So once an apartment comes to that stage, then we add a lot of data regarding it like floor plans and things like that. So along with that, the geocode is also there. Another question, there is a lot of information we actually get from the listing when a person puts in a listing, including the geocode of the apartment that he stays in. So we have a process where we actually sort of take the feedback and then sort of supply it and push it by the Amazon. So the question is, if you are using an automatic geocoder, it's likely not going to be more secure. So it's very easy to make it from place to place. We will have that also when the user is posting a listing, he can choose his position on that. So Tanya, you can just browse in a particular area. I mean, not exactly, you can search directly, you can type the name of the locality or the apartment and you can go directly to that place. Also, if you zoom out to the say country level, then you can see a whole lot of data as in which cities have how many listings. But obviously these are only what we have very, very strong. So this 10,000 that you see is Bangalore, this is Chennai and these are all other small cities with the same listings as a whole. We use Apache Solar in the backend that's a search engine. It supports GeoHash and things like that. But as of now, this implementation does not use GeoHash. There is a feature in Solar called Face Sets which groups is somewhat like group by what you did on your website. Yeah, so in JavaScript totally, actually we are not using Google's own markers because they have some problems. And we could not put a large amount of text like these bubbles are bigger and these are smaller. So everything is custom done, it's an overlay on top. And we're using X and Y coordinates to plot it on the map. Yeah, we are considering it now after. Sorry? Yeah, I was wondering how you guys did the marker clustering. Is that part of the Google maps? The markers are all written by us along with clustering. How does the clustering happen? That's that. So there's a new scene based on it. We actually use the lag log to figure out how far it's from the airport. People lie about those things, right? We are not doing them but like map search version 2 is still in the pipeline. We don't have a lot of features planned. One of the listings we are reviving was in Kolmangalai, it's like 30 kilometers from the airport. You know the Skirogalai, you know Skirogalai? You know Skirogalai? You know Skirogalai? You know Skirogalai? I don't use it so often but I've just seen it once. They normally use a radial search, like they actually use G-orange. So they only show the listings within that area. I'm not afraid of to compare. I'm still in the process of finding a place for myself. Personally, I use this because it helps me see, even in my, I can see that. No, I don't have an account on common flow. And the only thing that I get from common flow is that. I think the other thing about this is that, you know, one of my cousins had come from Bombay, and we were searching all over the place between Guatemala and Iran. And the really good houses, they say don't get listed anywhere. So... That's not something we can take out. That's our problem, I guess. Any other questions? Thank you.