Bird Fireside Chat #3
Friday February 11, 2022
Note: This is auto-transcribed and may have errors or missing details. We encourage you to hear our recordings as well. Click Here
Eric: I want to make sure everybody realizes we’re one of the few projects that’s doing something like this. And it’s really exciting to be able to have this conversation open between the team and the community. And we’re gonna lean into this. So this is something we start doing every couple of weeks, and it’ll be Denning’s invitation. We really want open questions and open communication from everybody. So any questions that come up? We’re excited to have it. So the first question that I’ve got, let me just scoot back to see who it came from, is from speculation Hill. And he’s specifically asking about GasDao. But he’s what he’s asking is how the tools that we’re building can work with a community. And I think this goes back to our, you know, the conversation we had about the people’s data, you know, what, what does this community this data mean, for our community? If we’re, if we’re collecting data, what could they be doing with it? How does that work in a longer term picture?
Daniel: Yeah, it’s a really interesting question, to admit that I’m not terribly familiar with GasDao. So most of my response here will be a bit more general, you know, we were obviously very community centric. So we’ve definitely put quite a bit of thought into what the implications of all of this work that we’re doing what it means for the broader sort of community management ethos in crypto. And I think the best way to consider this is around, you know, the value that you create in building a personalized experience online. You know, if we think back to the web to its adoption, right, it’s central, you know, position in our lives really didn’t emerge until those platforms started becoming a lot more personalized. So it’s a bit of a general answer. But I think the greatest impact that we can have on how communities operate in blockchain is by bringing more people in and having the products and services and interfaces that they interact with, be more customized to them. Because that only serves to attract new eyeballs and only serves to strengthen the relationship between the people that are building these platforms and the people that are using them, the more that we can build things that are designed for specific users to address specific problems or opportunities, you know, the closer that relationship becomes? So like I said, I don’t don’t know much about GasDao. And so I kind of have to sidestep that part of the question. But, you know, what we are building I do think is well aligned with the broader industry’s goals in fostering a much closer relationship between operators and investors, certainly much closer than exists and traditional capital markets today.
Eric: So we talk about all these partnerships and these projects of platforms, we’ll be using the tool, do you see a world where a community could kind of combine together and create a credit score or a community score? Where they can then go out and say, Hey, advertise to us? Or hey, you know, look, what we look at our combined value is or something to that effect is that that might be what his question is leaning into.
Daniel: I think there’s definitely some overlap between that question and that idea and some of our future roadmap. So I’m going to skip ahead a little bit, because I know there’s been some questions around, you know, product development. So this will kind of blend with those questions, and we get to them later on. But we are, we are obviously, you know, very focused on decentralizing what is otherwise an overly centralized process. And you know, in web two, you’ve got very small groups of developers and board members that are largely responsible for everything that happens around these machine learning models. We are actually in talks with a platform that for now will remain unnamed, to enable us to actually decentralize the model building process itself. So to kind of go back to your original question of, you can put a whole bunch of people together and you know, build a product like a credit score that can be useful with the help of birds architecture, I do think that the future like that is in the cards. We will be looking at opportunities to combine platforms like Kaggle which are essentially like machine learning competition platforms. You know, a bunch of people get together try to solve a problem and the person has the best solution ends up some kind of reward, usually a pretty solution. payout, were investigating the opportunity to use decentralized technologies to invite community members with a background in machine learning to actually participate in the modeling process in a kind of competitive framework. So this stuff is all super early, you know, these aspects of our roadmap are definitely further down the line. But we’re in conversations now with other folks that can help us design that kind of ecosystem. So you know, can a group of people get together and self organize to create a credit score without the help of any other kind of architecture or organizing features like a company, credit score might be a tall ask, there may be some other scoring products could, but bird will be putting a lot of fuel on that fire by laying groundwork that helps people you know, collaborate and coordinate, it reduces the needs for a lot of the front end work that happens on the Data Prep. And lets people just collaborate on the modeling process itself. So it’s a bit of a tangential response. But I do think it’s similar enough that it’s worth noting.
Eric: So while you mentioned the collaborating a little bit, Dacia here is asking, I’m interested in the algorithms and the ML results, is there a way to get some feelings on that maybe share some of the data central GitHub repo? Would that be possible and later phase members of the Bert community design some algorithms and test ourselves with on chain data? So I think that leads into what you were mentioning a little bit, so So what’s your thoughts on that?
Daniel: Yeah, I think that so the second question there, you know, in later phase, members of the Berg community design some algorithms to test ourselves with on chain data, you know, that’s our goal. The the certain certain aspects of the community and the tools will need to mature alongside Byrd to make that possible. You know, I think it would be a little bit too big of a pivot for us to say that we’re going to try to rebuild like a Kaggle type platform. But if there are other players out there, like the partner that we’re in conversations with that are building ecosystems like that, naturally, that we can either build on top of or white label or fork. You know, that’s a very real possibility. And it’s a it’s a, it’s a clear goal in our future. And I think it’s a goal that we are very, very likely to be able to meet. Yeah, the wisdom of the crowds logic here is is is valuable. You know, there’s a reason that Kaggle is as successful as it is, you know, some of the biggest companies in the world, when they have challenging problems, they don’t just rely on their engineers, so they crowdsource it. Why wouldn’t that model also work here? I think the answer is that it would now the first question around getting access to our private GitHub repos, I don’t think that that’s going to be in the cards in the near future, we are still learning a lot about the differences of, you know, competitive intelligence in this industry versus in other tech industries. And so for as long as you know, we’re still kind of getting a lay of the land and understanding what is proprietary, and what isn’t, we’ll be erring on the side of caution. Now, that doesn’t mean that somebody in our community that has a particular set of skills can’t get involved. We’re constantly getting requests from community members to, you know, be able to help in any aspect of the data pipeline, the machine learning pipeline, and we welcome those requests. We’ve got a couple of people that aren’t core team members that are actually starting to get in there and look at the data. So I don’t know if I’m pronouncing your handle right here. dassia. But if that’s you, you know, reach out, let’s let’s talk some more. And perhaps you can get involved without us, you know, exposing a lot of that proprietary, you know, code and analysis.
Eric: Yeah, I mean, that’s where I came from, to his community, you know, that the, the welcoming arms that you’ve provided, you know, it’s, I think people should know that that it’s here. If people can be helpful to bird maybe it’s not a job maybe it’s not a an official role, but But it’s an entire project community and team working together. You know that that’s how I see it.
Daniel: Derek, speaking every single person on the team except the founders came from the community.
Eric: Something everyone should definitely keep in the back of their minds. So we’ve got some questions here from Jim Hunter. I’m going to skip the first one because that’s a little bit longer to get into but ETA on the first lot of products going live and I know we’ve talked about it, but where are we a little bit here.
Daniel: So we still have a little bit of research to do, and we have the production deployment process to kick off. So we haven’t set an exact launch date yet, because for as long as there’s still outstanding research, that launch date is a little bit, you know, up in the air. But right now, we are providing, you know, tentative guidance to our partners that the launch pad score will will be released in the first quarter. So we’re looking at what that’s a maximum of about seven weeks from now. So again, it’s not set in stone yet, but that is what we’re communicating to our partners that are looking to integrate the score, that those discussions will kick into gear in March with ideally, a go live by the end of March.
Eric: You want to spend a 32nd overview of what that Launchpad score means or does.
Daniel: Yeah, sure. So this is going to be redundant to a lot of people here, but we’ll go for it anyway. The Launchpad score, at least in its first version, it’s looking to predict one thing, how long will a given wallet hold a token investment in days, and the goal of that is to provide launchpads with intelligence that qualifies, you know, the nature of certain investors. So when they connect to the platform, they’ll reach out and they’ll get our prediction that says how long this wallet is likely to hold the investment that they’re in theory about to make. And the platform can decide to offer high quality investors, perhaps a lower investment token price, it’s possible, they would offer some kind of bonus on top of their purchase amount. To the best investors, we’ve got a lot of input that people want to adjust their tearing to your membership criteria, based off of the score. So ultimately, you know, our stance has always been, we will provide as much context and explanation as possible about what the score is and what it isn’t. But the platform gets to decide exactly how they want to deploy it. And the reason for that is pretty simple. No one knows their business, as well as the people that are running it. So far be it from us to say, Okay, this is exactly how you should use this score. You know, we actually welcome all kinds of creative uses of this score, because that’s the type of feedback that can drive, you know, new innovations and new research for our team to develop subsequent versions of this product.
Eric: And so following the launch pad product, we’ve been talking about the gaming product, and and being able to identify VIP users early. What’s the lead time on that? So how tied into the launchpad product? Is that how tied into you know, are we building something totally new? Are we building something that that transfers quickly?
Daniel: So in any data science projects, the majority of of the effort goes into preparing the data, and the majority of the effort goes into actually building the model or conducting the analysis. For that reason, we can safely say that most products following this Launchpad score will be deployed far more quickly. Because right now, we’re strictly using on chain data. So it means that, you know, for the most part, a lot of the the engineering on the data side has actually been done already, because we did it for the launchpad score. So it’s, it’s not, it’s not quite fair to say that there’s no additional data engineering required for new scores that follow. But it’s also not going back to square one. Now is like specific launch dates for products pertaining to gaming, we’re not really quite ready to talk about yet because I think there’s even still some uncertainty about the order in which we’ll build these products. There’s two or three that have been identified by our partners as being potentially useful. So they’ll will be a whole round of discussions both internally and with our partners to prioritize that development process. And I would guess that we will be beginning those conversations right around the end of q1 since that’s the time we’ll be wrapping up our launch pad score.
Eric: So I’m going to jump down J K T just put this one in, can you speak a little about the OD on a partnership, and he’s still in discussion with other potential VCs. So I was on a lot of those calls with Oddiyana. And working out that partnership. So that’s not a VC partnership, per se, they’re their VC platform. But where the cushions happen there is more in line with, they see our tools as something that could give them and the projects they incubate as a leg up competitive advantage wise. So they were partnering that way, and that they’ll be a great feeder for potential gaming and other so other launch pads. Vulture Peak was one of the launch pads they introduced us to, for new partner partnerships in the future. So they they are not a VC that we’re speaking to about money. But I know you’re speaking to a lot of VCs and then about investment, where where are we at with that? And what’s next?
Daniel: Yeah, if I could just add one comment, the Oddiyana thing, anyone that hasn’t done it, go check out their website. As far as you know, backers, they are prolific dozens and dozens of projects in their orbit. And so this gives us the ability to essentially go to one place, and get connected to dozens of projects all at once. So this is actually not the only, you know, arrangement like this that we have in the works, we’re talking to another or, you know, firm that’s kind of similar to Oddiyana in the sense that they have bout 15 launch pads that they have incubated or backed. And so we’re in conversations with them to do the ability to do the same thing. Sign one partnership to effectively communicate with, you know, a dozen or more new customers for our products. The adiantum partnership might look a little strange from the outside. But you know, for us, it’s actually an incredibly efficient way to start communicating with new customers. Now, on the other side of the VC, front, in terms of funding our company, you know, I think I’ve said this probably 1020 times in the last six months, we don’t talk details, while the deals are still open. What I can say is that bird has taken in its first actual capital injections already. So we’ve had some money come in our target rounds, is looking very good to fully, successfully close. Not going to get into specific numbers. But the demand that we’ve seen following Binance Demo Day has exceeded all of my expectations, we have a very long list of potential investors that have expressed interest in Bert and those conversations are really starting to heat up out. So, you know, I wish we could be a lot more transparent, because there’s so many exciting and really promising things that that have happened been around, you know, our fundraising efforts. But you know, for the sake of the the the negotiations and the relationships that we’re just now building, we want to be very careful to not get out in front of our skis too much here. So I’m going to be a bit deliberately vague about this. But for anyone that is patient enough to wait for the formal announcements, what I can say is that you will not be disappointed. We’ve got some really powerful firms that have expressed interest in us. And it goes a lot further than just money. For folks that haven’t really been close to a crypto fundraising effort before. There’s 1000s of VCs out there that are willing to give you money. Very, very small number of them will give you that money and also provide other support. You know, things like marketing, legal support, access to talent and other resources. That’s where the real wins are. And believe it or not, it isn’t the big name firms that everyone’s heard of that are really providing that kind of support. So you know, when when the dust settles on this, I think you’re going to find that we’ve taken a very unique and potentially extremely beneficial path forward in how we’re selecting our financial backers. We’re looking for a mix of, you know, industry experience and general Tech experience because our products can be sold outside of the crypto industry. We’re looking for money that’s going to bring certain geographic expertise. We mentioned before that Asia is going to be a big target for us this year. We’re in the process, for example of translating our website and creating some Asian speaking language channels for our community members. And so, you know, ultimately, the VC effort for bird is very much in full gear right now. And I think that you’re going to find at the end of the day that we’ve made some very unique and I think intelligent decisions on exactly how we’re selecting the people that are going to be backing our company.
Eric: And when that round is over, and everything’s done, and money’s in the bank, what, you know, I think I asked you this on the South the other day, what what changes? How does that change your world? How does that change birds? Well,
Daniel: I mean, I think most specifically, actual backers tend to bring liquidity, it’s one of the things they really like to do, I think one of the most acute changes that we should see following the the seed round closure is new injections, to our liquidity position, both on decentralized exchanges and centralized exchanges. You know, investors like that, because it benefits them in the long run to have a healthy secondary market. So in specific terms, that’s one thing that I suspect may change, rather quickly following the seed round close. In general terms, you know, a big thing that goes along with closing this seed round, is the ability for us to dramatically increase hiring. So last summer, we did a little round to hiring to brawn, more machine learning engineers and more business development associates, when we fully closed the seed round, there are a whole bunch of other roles that we’re going to be hiring for. And that puts us in a position to start doing a lot more robust planning and budgeting, which is something that the community is really been looking forward to. You know, I’ve said this a whole bunch of times, but middle of last year, we decided that we were going to do a do away with our time bound roadmap and create an ordinal roadmap instead, one where we say, you know, we’re working on this first and the second in this third, but we don’t know the exact timelines, when we close those rounds. And we wrap up all of our onboarding for the new hires. That puts us in a position where we can be a lot more planful for our development process. To offer clear deadlines, and you know, clear timeline expectations to our community. So I do think there’s a whole bunch of things that will change following the seed round, some of them are going to be more visible and I guess objective than others.
Eric: So BM just asked, and I know this has come up a bunch. But does does that final seed round affect any upcoming cex listings? And staking opportunities lending to come? Like, does it does it? You know, you mentioned liquidity in the exchanges. So how is it going to affect that stuff?
Daniel: Yeah, so I don’t know that I have much more to add about liquidity on exchanges. But I think what I said generally holds, these investors tend to want to put resources towards that. They also tend to have a lot of relationships with, you know, those those exchanges. So it will accelerate any plans that we have there. Our overall plan for cex listings hasn’t changed since our last call, the market is starting to, it seems like you know, form a bit more of a position a little less schizophrenic. So it does put us in a position where we can start re engaging our cex listing partners. I think it’s also entirely likely that because we’re getting into the middle of our conversation with investors that they may say to us, like, Hey, guys, why don’t you pause on that listing, because we think we can do more, once we get together. So on the cex listing side, is still very much a wait and see. I do want to make one quick comments about tier one exchanges. We get this a lot. And I just want to encourage everyone, I’ll try to find the link and maybe share it in discord but there is a research report that came out recently that looked at the relationship between Horowitz and Coinbase. So Andreessen Horowitz is obviously one of the biggest VC funds out there. And Horowitz actually sits on the board of directors for Coinbase. And there was a researcher that put together a study that actually showed some very interesting relationships between a 16 z and Coinbase. And those relationships tended to actually be very damaging for the projects themselves. So I put this out there really just to offer a bit more of a nuanced perspective to, you know what it means to go on to a tier one exchange and blockchain today? It isn’t the very unequivocal clear win that I think many people may see from the outside looking in. You know, from the inside looking out, there’s all kinds of really odd things that that happen, especially at those those top level exchanges. I don’t. Yeah, so I’m gonna be a bit vague about this, because I think it’s somewhat sensitive information. But very recently, a project that I know very well, was actually listed on Coinbase. without their knowledge, Coinbase literally just went and listed them and didn’t tell them anything, didn’t ask them for tokens to provide liquidity didn’t ask them really much at all. So it’s a bit of the wild wild west out there. And so, you know, we are always going to take a very cautious approach when it comes to working with those giant companies in crypto because, you know, sometimes they’re not quite as, you know, shiny and pristine, as you might think, at first glance about last question that BAMs asked here any better opportunities for staking and lending to come? Staking Yes, we are very close to making a major announcement around our token and staking and some various other things related to utility. So for now, you know, the answer is still unfortunately, you have to wait and see. But we are going to be rolling out what I think is going to be a very, very attractive staking program quite soon.
Eric: So let’s let’s step back from nitty gritty project stuff, schuyler’s just asked, Can you provide your vision on a future of web three and how bird fits in it? So it’s more big picture question.
Daniel: And yeah, that is about as big picture as it gets. We could talk for hours about that. And I want to try to keep this call is sort of tactical as possible, maybe what we need to do is have like a deep dive into web three for folks that are interested in having a more academic discussion about it. But finally said, birds vision for web three is essentially that we’re going to take all of the good in web to leave all the bad behind. And so in this case, the good is the aspects of user targeting that have created a richer online experience. So you know, the idea that you can log into a search engine, make, you know, a query that is been customized to your personal history, and your response that that’s a good thing is unequivocally a good thing. It saves me time to find what I need. The idea that a platform might be offering me some very divisive, subliminal, potentially fake news stories to influence my thought process. Yeah, I’m not so sure. That’s good. So that’s one of the main reasons why we’re essentially saying like, Hey, guys, machine learning on the web to work great, except for a couple of very simple but profound shortcomings. One, the users have no influence whatsoever on what kind of data are going into these models and where those models are being deployed. And that’s one of the reasons why you have on the news, all these issues about young women having body image issues, you know, from their experience on Instagram. And then the other problem is, these models are making billions of dollars, it’s their main input to production is our user data. And we’re not compensated for that input for production. So I’ve used the analogy a bunch, and I’ll use it again. Now it’s the same thing as a car manufacturer not having to pay for steel or plastic or aluminum. That’s just not a sustainable, you know, monetization model. So we see a future of web three is still having all of that rich user targeting where we get these personalized experiences. But we were putting a lot of the power back in the hands of the user around these very powerful, you know, tools called you know, machine learning algorithms. So like I said, we could talk for hours about how web three will evolve and how bird fits in it. But I think the easiest sort of Elevator Pitch around that is we are going to be offering the same kind of rich user targeting without the you know, byproducts of overly centralized and potentially very detrimental side effects to these models. So let’s jump
Eric: Back in the gym hunters last question, and I know we can’t talk, you know, full in depth on this, but token utility and things that that you see coming.
Daniel: Yeah, so we’ll have a little meta conversation about this, we are still not in a position where we are able to put a very clear explanation out into the public on exactly how our tokens operate in the ecosystem. And there’s a very simple answer for that. It’s not that we don’t have it planned. In fact, a very creative and sort of good detectives out there can probably actually piece together a lot of what our plan is because we’ve been talking about it in various ways for about a year. But ultimately, the reason that we’re not sharing it yet is quite simple. The SEC, the FCA, the major financial regulators, in sort of tier one jurisdictions around the world have coalesced around a pretty easy to understand definition for the, the the classification of a token as either a security or as a utility token. And that classification is how soon after the token is launched, can its prescribed utility be exercised. So what that means is, you know, if we launch a token today, and we say that token is meant to allow somebody to buy a basketball, we don’t turn around and make those basketballs for another couple years. The financial regulators turn around and say, Well, that was a security. And the reason they say it’s a security is because we use the funds to actually drive future development future investment. That is the only reason why we have not put out our very clear path of exactly what the tokens are used for. You know, we’ve just been very general and said, it’s a governance token. So I think, again, anyone that’s been listening carefully, will know that the day that that we’re going to be sharing that information is coming very soon, because we’ve already shared that the launch day for our launch pad investor score is also coming very soon. So those two announcements are going to be coming hand in hand. And as I said, the reason for that is largely speaking, a legal regulatory one.
Eric: I think that answers it pretty well for everybody. So ketose is asking what will happen next with the ambassador program? In my opinion, it did that bring did not bring the project a large community, how are you going to proceed, so we were just talking about this today. So first off the the goal of the ambassador program, the first project wasn’t necessarily to bring a large community to bird you know, for now. And that first phase was to kind of feel out the community, and to see how active and how interested people were and and if they were willing to know how open and willing to to jump in and do some things everyone was and clearly from what we’ve seen, there’s a lot of people here who were excited to join in and help us in the project. So that’s that’s first thing. Second thing specific project Excel itself, we’ve been using the tool gleam as the scoreboard. And we’ve kind of maxed out its capabilities in terms of listing more tasks and growing. So and we’ve achieved the goal of seeing the people that are involved. So we’re going to edit the program a little bit, from 30 to 20 tasks. And that’ll be our line for where we’ll be giving out our ambassador badge. And then the next thing that we’re working on, which isn’t immediate, but will be in the near future is putting together more specific contests for the community, in which we’re rewarding with valuable rewards, whether it be tokens or something of monetary value, but but these contests will be you know, actual creating content and doing work that that when it’s utilized by bird, the rewards will be seen so so that’s kind of the direction we’re going. You know, it’s not fully fleshed out yet, but that’ll be that’s that that’s the plan. And I’ll be asking the community for ideas and starting to poll and see what the community would like to be doing. But we’re really going to dig into this and really, you know, try to get some some valuable work from the community and valuable, you know, tools here where we could we can all grow together. I think that answers kind of the general questions. Do you have thoughts you want to add to that data?
Daniel: No, I, the only thing I’d add is, and this is kind of a generic comment. Don’t be shy about making suggestions. A lot of the design for this program was instigated by comments and suggestions that we got from the community. So as we start shifting gears and thinking forward, now let’s just make sure that you guys are offering us all of the inputs and insights that you have.
Eric: Yeah, in my mind, this first phase was was a lot of kind of a test phase. And now we’re really gonna hit the ground going with, with some bigger picture work. So I’m really excited about things. That hits all the questions from previously from telegram and from the one just came in the update on when rewards will be sent out. So we’ll be minting NF T’s here in the near future and sending them out to the people who have won them, we have some more to pick. And someone’s asking about the salon. NFT. Any quick update there?
Daniel: Yeah, so actually, we were just talking to developers this morning about it. No new launch date yet. But final testing is pretty much done. So now we’re really just trying to organize our selves around marketing, and, you know, doing our best to try to plan around. And you know, to the extent it’s possible, you know, some of the challenges that the salon network has had recently. So look for a launch date to be announced on the salon. I am FTS very, very soon.
Eric: All right. So that’s it for questions in the, in the chats that we’ve we’ve received, we have the capability for for everyone here to raise hands and ask questions. So does does anyone have any questions at this point? think we’ve answered them all.
Daniel: I don’t see anything else, Eric that we missed. Scanning through one more time quickly. Dan, life bird use case from a VC perspective might be useful walking users. I know this is you putting in that there, Eric, but maybe it would be worthwhile to just kind of quickly talk about more tactically, you know how we’re working with venture capital partners right now. I think they’re certainly with how frequently announcements are coming out about you know, Company X raising, you know why and seed rounds, it may appear as if these processes are a bit less intensive than they actually are. So to put it in perspective, so we got a diligence request from one of the first VCs that we were introduced through Binance. And let me pull it up here. It is, it was something like 5000 characters long, it’s like a three page list of questions. For us to answer those questions is likely going to generate 2030 pages of narration and, you know, editorial isation. So we’re talking about going through that process with potentially a dozen or more of these Venture Capital Partners. So I say this so that the community has an understanding of, you know, if, for example, somebody like me is a little less active in telegram over the next few weeks, or you see a slight downtick and partnerships, any kind of change in our pace. The reason for that is almost certainly going to be that VCs are incredibly demanding when it comes to the information they need to move forward with an investment. So just expect that, you know, we’re going to be quite busy with those relationships over the next month or two, then, you know, we’ll always try our best to offer, you know, interim updates to the extent that we can, but as I said a couple of times now, until until agreements are fully signed, and the NDA clauses in there are fully vetted. You know, obviously, we just can’t mention anything specific about them. So yeah, Eric, I don’t see anything, any other topics in here that we missed. There’s somebody typing at the moment. So maybe we’ll just give them a second to potentially ask one last question since we’ve got a few more minutes here. Sure, so Well, well, my mind here is. Okay, let me ask this question, Eric. I’m just trying to think of exactly how transparent we can be here. Because the other consideration is that, you know, there’s eight other project teams that are going through the same process. And so if we sit here and say, this is How are processes going, it does potentially put them in a position where, you know, they may have to explain to their computer or their community, why theirs isn’t going the same way. So this is probably about as far as we’ll go at this moment, but we received requests for information from over 35 different entities as part of our demo day presentation, which is about five or six times more than we actually even have room for, in the entire seed round itself. So I think that can give you a sense of just how successful the demo day presentation went. And just how well received, you know, birds mission is within the the broader venture capital community, we’re obviously looking very promising to essentially have an oversubscribed, fully closed seed round. But going to work, I know, there’s something else that you wanted to either ask or
Eric: I was just gonna to circle back to the very beginning about how projects aren’t doing this type thing here. And, you know, through this conversation we’ve seen, you know, you’re working with VCs, you’re focused on, you know, building a product, you’re working on token, you know, you’ve got a lot on your plate, but are taking the time to focus on this here. What’s, you know, what’s the importance to you? Why are you so focused on this, this this here conversation, you know, communicating with the community and everything?
Daniel: Right, I think there’s two answers to that. You know, one is our self interest. Yeah, without you guys, we, we don’t have much anymore. I think it’s one of the coolest things about crypto is you foster these incredibly tight bonds with your investor community, such that there’s kind of Mutually Assured Destruction. Without us, you guys got nothing. And without you, we got nothing. It’s actually quite a wonderful symbiotic relationship. So I think, yeah, is definitely a very sort of very pragmatic, self interested tactic to make sure that we’re always taking care of you guys. But I think the other side of it is very personal for me. I’m an economist at heart, I have always believed very deeply in the power of incentives, the power of collaboration of you no human interaction, when it comes to building great things. And so for me, this is just an amazing experiment, to see that that theory tested in the wild, you know, can having a much more collaborative and close knit relationship with a group of 1000s of corporate investors create something that can’t be created in the traditional finance space? And I think the answer to that is yes. And we’re doing that now. So to me, that’s a lot. That’s the more interesting answer to that question is, you know, this grand experiment that that, you know, millions of people have jumped in with both feet on called blockchain. What are we going to create out of it? And I think it goes well beyond the technology and can start influencing society and culture. And to me, like I said, that’s an incredibly exciting, it’s one of the things that gets me up every day, it’s one of the things that, you know, gives me energy to, you know, spend more time in telegram when perhaps I wouldn’t want to, it’s that that really exciting potential of building something not just with a great team of engineers, but with a broader community of people that have a variety of skills and perspectives and value that they can bring to the table.
Eric: I think that’s a great answer to wrap up on. One more question. Just quick one popped in about Twitter verification any and if we heard from Twitter or anything like that?
Daniel: I have no idea what that’s about. So why don’t we circle back with
Eric: getting a blue check on Twitter saying we’re real?
Daniel: Oh, okay. Yeah, I mean, like I said, Let’s start. Let’s circle back with the social team. I don’t know what progress has been made there. But good question.
Eric: Perfect. Alright, so I think we’ll wrap up. I said the beginning we’re going to be trying every two weeks to be doing this. This is it’s important. So we want to be on it. Thank you for everybody coming. And there’s one more gleam score opportunity here. It’s so the code for this conversation is wings. And we’re gonna leave it open. So if you don’t have all the points yet, there’s some simple twitter follow retweet type stuff that that’s a little older that you could load in a few points and get yourself above the 20 line and get it there. But we’re we’re we’re loving it. syndicating with everybody and excited to keep this rolling like that so thank you everyone for coming
Daniel: yeah thanks guys we’ll see you in two weeks
Eric: Alright thank you everyone have a good afternoon
About Bird
Bird is empowering dApp developers to create the Web3.0 UX of the future by developing wallet-level machine learning prediction products that are accessible within a permissionless, decentralized on-chain oracle. Developers that integrate with our products can, for example, offer variable defi loans or launchpad investment terms based on Bird’s analysis of the wallet’s past behaviors as well as off-chain data streams.
Behavioral prediction products fueled the growth of Web2.0 companies such as Google and Facebook, but centralization had led to power and profit disparities. Combining the power of ML with open and decentralized technologies will enable Bird to create an entirely new tech business model. Operational decisions such as how sensitive data are used and what user behaviors are analyzed can be made by the community (i.e, token holders), with community profit-sharing serving to align the long-term incentives of Bird administrators and ecosystem users.
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