Mapping the Soundscape: Silencio Network's Mission

Julien (nonoise.club): This podcast is presented by NoNoise.club. NoNoise is creating an ecosystem of innovation to fight noise pollution. When talking about noise, one of the first questions coming is what noise and where? Data. Noise is everywhere and that's exactly what my guests are mapping today. Today, my guests are Thomas and Théo Messerer, the co-founders of the Web3 startup Silencio Network. Hi Thomas, hi Théo, how are you doing?

Thomas (Silencio): Amazing. Thank you for having us here today, Julien.

Julien (nonoise.club): Very nice to have you both. Very nice to have you both. What the first question people ask you when we speak about noise pollution.

Theo: Thanks, William. Hey, you wanna go first Thomas?

Thomas (Silencio): First question, that's

Julien (nonoise.club): What the first question?

Thomas (Silencio): If it's really as bad as we claim it to be, because I think a lot of people are really not aware of this silent killer and within that, because at the end of the day, is something that people do not take as serious as air pollution or let's say plastic pollution, because they cannot really see it. And just being able to understand the health impacts that it can have on our lives on a day-to-day basis is just eye-opening for a lot of people. And it really starts changing and altering their behavior, hopefully for the good.

Theo: Definitely. I think we often encounter people who are surprised by it at the very first thought and then they start putting the pieces together and they say, okay, that makes a lot of sense. I think nobody thinks of noise pollution until they do and when they are affected by it, no? So when you're living in that loud apartment or staying in that super loud hotel, visiting a restaurant where you can't speak.

Julien (nonoise.club): Nice.

Theo: All of those situations suddenly you're confronted with noise pollution very vividly.

Julien (nonoise.club): And tell me why the Mestela brothers are fighting against noise. Why you exactly?

Thomas (Silencio): Well, I will guess that this started already when we were young. and I, we're actually four brothers, four measure brothers, and we're all together working on this impact driven project. And when we were younger, we grew up with a father that is suffering for impaired hearing loss. So we already were exposed to the problem in itself from a young age. And this meant that we would always have to be very aware of what restaurants we went to. even where our father would sit in a conversation for him to be able to partake in a normal conversation and what hotels we visited and even trying to avoid loud cities. So I guess that for us, was self-explanatory that this was an issue. But as we grew up, we started understanding that it was really the opposite when you talk to the broader masses.

Theo: And I think in addition to that, Thomas and I would be now, we can get into this a little bit later maybe, but on the Web3 space for quite a while now, we saw that engaging people across the planet for a common good to do citizen science with a common goal works really great. And yeah, we really got fascinated by the idea of crowdsourcing data. through this community-based approach. And we saw that we could use this in order to start understanding noise pollution and then create actionable insights in order to address it effectively.

Thomas (Silencio): So I'd say that our path into crowdsourcing data started about four years ago, where we started crowdsourcing air quality data or throughout major cities in Europe. And this led us to not only understand the, let's say, science behind all of this, but also comprehend that noise pollution was just ranking second next to air in terms of the actual damage you can have in the urban landscape. And of course, we had a direct relationship with noise pollution. So it was kind of like a self-explanatory step for us. But at the same time, we saw the limitations of crowdsourcing air quality data, which needed dedicated hardware, which of course becomes obsolete over time. There are logistical problems with that, maintenance problems. And we noticed that everybody owns a smartphone. You know, there are over 7 billion smartphones worldwide and growing. And the first thing that people buy worldwide usually is a smartphone before they buy anything else. So we saw a huge opportunity there to use these devices that essentially are idle devices that could be put for greater use to start mapping out noise pollution all throughout the world on a hyperlocal and real level.

Julien (nonoise.club): Nice. We started to speak directly about noise and details, but maybe a few words about yourself. Can you pitch yourself in a on a personal way? Maybe Theo, want to start?

Theo: Absolutely. Yeah, so I'm Teo, I'm one of the co-founders at Silencio. Thomas and I, as we said at the beginning, we're brothers. We've been working together for the last 10 years. Actually, before this, we've been in completely a different industry in the legal space. My background is more in the technology side of things and operations. And, yep, I was born in Argentina. I lived most of my life in Germany. I studied in the US and also in Spain. And so I had the luck and the privilege to be confronted with multiple nationalities and very excited to be now approaching this global project of Silencio with my brothers.

Thomas (Silencio): Well, I would say, of course, there's a lot of overlap, so I don't need to repeat a lot of this information. But I still was hinting, are originally from Argentina, so we grew up in a very loud city of Buenos Aires. So we already understood how loud cities can get and how they start growing. But as we moved to Germany, we also started seeing the privileges of being able to also live in smaller German towns where maybe noise pollution wasn't that big of a problem. But you do started seeing cities like Munich, cities that we love becoming louder with the years. So we do think that the tool that we're creating essentially is providing also a better path down the line. But coming back to myself, I studied economics and also did a master in management. And I worked with Teo in the legal space, mostly centralizing intellectual property portfolios from bigger companies in emerging markets, mostly in Latin America. And already back then we were super interested in web three applications. The first time we saw that there was this possibility to really start altering human behavior to do good through an incentivation model through the blockchain, not only to create the incentive itself, but to validate that these measurements were real, were taking place by a real device in a real place. We saw this huge opportunity for us to jump into the space. Before I was telling that we were working on air quality monitoring, we were also conjoined in doing other projects as well, like measuring also weather data. And we really started seeing all of this data-driven world that is coming towards us, where we're strong believers that everything in our day-to-day on how we consume all of these major platforms or applications that we have in our smartphone are going to be influenced in some way or the other based on geo data.

Julien (nonoise.club): Mm-hmm.

Thomas (Silencio): Today you're already maybe looking at the weather before you walk outside. But what if, before you choose the next place to live or even where to spend your day, you might be aware of how the expected noise levels in the area going to be or the air quality or even pollen. So we are firm believers that this is coming and we saw a huge opportunity to position ourselves with this blockchain model in order to create a difference.

Julien (nonoise.club): So you already started to present the company and the models. Tell us a bit more about that, maybe about Silencio first, and then a question about DIPIN to give maybe more details to the listeners about DIPIN. But first of all, Silencio Network, can you tell us a bit more about the app?

Thomas (Silencio): Teo, you wanna go ahead? I'll go into deepening.

Theo: Yes, so I think the way to best describe it is we're creating the infrastructure needed in order to understand noise pollution on a hyper local, very granular level, worldwide. We are allowing anyone with a smartphone to download our mobile app and within a couple of seconds create an account and start delivering value to the network. Now, We have today over 400,000 users worldwide that deliver everyday data. The application is open more than a million times, and millions of readings are recorded every month. So all of this data gets aggregated within the Silencio network and our map experience. And through that, we're able to really understand what noise pollution looks like within the urban landscape. to understand hotspots where noise pollution emerges and yeah, they go on from there.

Thomas (Silencio): So we have created.

Julien (nonoise.club): I invite the listeners to open the app because I love geography, I love mapping. And when you open the app and see that word map with data points around noise, everything gets much clearer. So I invite the users just to understand to download the app or at least to open the app stores and understand that. Please, Thomas. Yeah.

Theo: And those, yeah, and those don't want to download. Maybe they can also just visit the website and see the, the worldview on the Explorer. And I think it's always super humbling to see that whatever city around the world you, you put in the search filter, there's a good chance that there's some user there who uploaded data. And I think from just an entrepreneurial standpoint, it's really exciting. And it makes us happy to see that even if you go to Bogota. Or if you go to Paris or Hong Kong, there's people delivering data.

Thomas (Silencio): And when it comes to this data, mean, the different data sets that we're collecting today, maybe to finish on that side, was that we started with street noise level data. So we think that these are data sets that are going to start helping us rethink even how we value real estate worldwide. If we get to the granularity that we're looking for, as we are starting to understand the differences, you know, compared to a computed set of data that is static, we really understand how

Julien (nonoise.club): Nice.

Thomas (Silencio): A location differentiates from one another at a different day of the week, hour of the day, and even going as far as understanding what the main sources of sound are. So we believe that this data set is really providing an extended proof of what is already there in the market. hopefully, people are going to be consuming this through major real estate platforms very soon in order to get a much better experience in taking life changing decisions. Furthermore, we started creating a data set that is called check-in data. So this gives you the chance, like when you leave a Google review or consume Google reviews, it's essentially the same. You can take out your phone, you go to any restaurant you might be at, and you can create an objective recording at that moment of the noise levels at that place at that time. And this starts creating the necessary information for us to be able to distinguish restaurants from one another, hotels from one another. And hopefully this data is also going to be consumed through hotel and restaurant booking platforms in the near future. And one of the latest data sets we just included is noise complaints, which is hopefully going to provide a tool for governments to be able to see not only life and historic noise complaints, you know, in terms of the overall reports and trends, but really to be able to take action on an immediate level. and long lasting level in order to improve the quality of lives of people.

Julien (nonoise.club): You say 400,000 users for now, and I think it's growing step by step because I know you for a few months and I see always the figures growing. So congrats on that. Who are they? Who are the users, concretely? And maybe a word about your business model as well. You already mentioned that, talking about Google reviews, for instance. maybe first of all, who are the users of Cedentia Network?

Theo: So we don't know them all by name, personally, but no, jobs aside.

Thomas (Silencio): You

Julien (nonoise.club): So podcast will be too long anyway for 400,000 people, so let's go.

Theo: Exactly. So these are individuals across 180 countries who became aware of our application either by, well, mostly through social media. So let's say there's a lot of influencers who post about our project on YouTube or on Twitter or what is today called X and then people become aware through that. Then we also created a really fun and engaging way for you to come back to the app, to invite your friends and your family. We gamify the whole process. And that's a very important element in this is, you know, you're competing against so many apps and think about this. You probably have tons of apps on your phone that you're not using. And so we are competing for attention spam and for people to... have a top of mind when either they're walking around town or if they're going into a restaurant. And so we have to make this really engaging and yeah, at the end of the day, also frictionless for you to participate. And that has proven to be the way to go. As you said yourself, the numbers are growing at the moment. It's something like 20 % month over month in terms of users. And we hope to really have millions of users in the next years to come. so that we create the most densest and hyperlocal data sets out there.

Julien (nonoise.club): And before moving to tech, maybe you want to business model then? Or do you your revenues?

Thomas (Silencio): Sure, I'll jump on the business model. let's say expanding the business model in the most simplest terms, we are part of let's say, network or a way of doing or building up networks that rewards users for delivering that value. So, if you would download the app and start creating data, valuable data for the network today, you essentially become all of a sudden part of this bigger network, part of this bigger vision. And every time the data gets commercialized, you earn a portion of that revenue. So we are not only positioning Silencio through this Deepen model, which stands for decentralized physical infrastructure networks, which at the end of the day are just using blockchain technology in order to use that incentive mechanism, because we need to solve the chicken and the egg problem when we are creating networks of scale so that we get to those networks. and know positive impact on those networks effects. So what the token does essentially is create a common denominator between us in order to value this data. So I can give you one noise token today in exchange for your data and when the data buyer comes they need to purchase these noise tokens to access this data. So this creates a circular economy in itself. And it creates a much fairer also economy for everybody because it creates a win-win-win for everyone. The user gets, you know, for the first time, the real value for their data. And I think a lot of, maybe your listeners are not aware that our data, mostly if you live in, know, European Union or in the U.S., most likely it's valued at over a four digit sum on a yearly basis. mean, McKinsey has estimated our personal data economy to be valued at over 300 billion. And this was two or three years ago. We're definitely gonna go towards the trillion within this decade. So this means that there is a massive exploitation going on where people are not getting their fair share of the value they deliver. So in the long term, we're also positioning Silencio as this, so to say, middleman in order to guarantee that everybody gets their fair share. Companies are not gonna be paying more than they already are with maybe bigger data aggregators, but at the same time, you're getting your first share. And this works thanks to this Web3 model.

Julien (nonoise.club): You explained in your work the difference between web 2 and web 3 finally where you are the middleman platform is avoiding that data is exploited, not giving any earnings, any reward for the users. I love asking the question, why now? Why do you think that's the right moment to launch Silencio? Is the technology, the blockchain-based technology or web 3? The reason why, now?

Theo: I think that that's an exact question that we set out when we started Silencio because it's the number one determining factor for a startup to succeed or to fail is the timing. If you're too early or too late, that makes the entire difference. so why now is we saw that Google and other mapping capabilities and platforms are taking a big bet on hyper local data. So this is the way that we can source it. Think about Google Maps. They drive throughout the streets and collect data every couple of years, but it's not fresh data. But if you do this from a community perspective and you have people with cameras in the cars who are constantly uploading fresh data, it creates a better product and a a better appetite from these technology companies that want to incorporate this data. And so we saw that, for example, Google was incorporating data on air quality, as Thomas hinted earlier. They've been incorporating data as well on Poland, on wildfires, and just to make the experience that you have with mapping better. And we think that Google is already telling you how full and expensive a place is.

Thomas (Silencio): you

Theo: In the future, why shouldn't it be telling you as well how loud the place is? So imagine you're going to go tonight to a restaurant and say, okay, I might take my spouse out for dinner, but I want to be able to speak to them. And this restaurant here has 50 dBA versus the other one that has 70. And that creates a huge difference. Every 10 decibels, we perceive as a doubling of the soundscape around us. So that's... Tremendous. So that was the major aspect. And then that came together with the momentum of blockchain. And we saw the difference between Web2 and Web3 world is in essence that in Web2, you're the product. You're not benefiting from what you're creating in value. And these technology companies, there's a handful of them that we all know out there. are taking 99 % of that benefit to them. And so this creates a very monopolistic scenario where innovation stagnates. And in Web3, the idea is very simple, is to actually come back to a free internet that is not monopolized, where everyone benefits and where innovation is unleashed. this is blockchain at the end. It's just the railways to achieve this.

Thomas (Silencio): . Maybe Julien there just to give you an example of why the timing is also now. mean, a part of course of the penetration of internet and mobile devices worldwide, which today has made something possible that wouldn't have been possible 10 years ago. But nonetheless, there were already initial projects like Noise Planet, which we really love, which is more of an academic approach to doing what we are doing. But to give you an understanding of how the Web3 component all of sudden helps at exponential growth, Silencio itself was able to create an X20, let's say density of data and within probably two years compared to what the traditional model had more or less 15 to 18 years to do.

Julien (nonoise.club): Mm-hmm.

Thomas (Silencio): So it's just impressive to see that the moment you start creating the right incentives to do good, all of a sudden things take off.

Julien (nonoise.club): I hope you're right and I hope that's the right momentum, that now is the right momentum. As a last question for the question round, what's your vision? So why do you want to be in 10 years with Silencio? And where do you noise pollution or innovation against noise pollution is going to be in 10 years?

Theo: I think that Tom, go ahead, please.

Thomas (Silencio): Well, we always like to say that in five to 10 years down the line, we want to see a billion people plus consuming our data on a daily basis, one way or the other, right? Even without them knowing that it's coming from us, because it is going to be consumed through all of those major platforms that you use in your everyday life. And hopefully our data is going to help shape a better future for us all, right? If we expect the world population not only to keep on steadily growing, having more or less 68 % according to the United Nations living in cities by 2050. This means that cities are just going to get louder and louder. And if we can make a difference there, that's really a huge success for us.

Julien (nonoise.club): till.

Theo: Yeah, I was going to say, know, we're consuming data more and more. Artificial intelligence is going to take off massively and we need the field data to be incorporated in this. And if we can create, would say capitalism 2.0 that you have the incentives to do good, but it has a real impact. It has a utility for for society, then that's really what excites me because you're going to have users who want to do good, but then who also benefit from it. And then you have a society benefiting from the data that creates the actions to address noise pollution.

Julien (nonoise.club): Let's close the question round and I invite the listeners to stay with us and to listen to the discussion. So thanks for all your answers and let's start now the discussion. So to

Thomas (Silencio): you

Julien (nonoise.club): start this discussion around, I hear you guys, speak about impact. And you know that's how we met and the first discussion we had, Thomas. And that's what I want to do with nonoil.club as well, to have really impact on noise pollution. But at the same time, you speak about selling data. So I understand that you're selling data and rewards the consumer, the user. But how to if and. how to prove yourself that it's really an impactful product. And why do you think it will have impact and not just impact of, I get some rewards or I get some money, but having impact for a lot of users, not just about the financial aspect. So why do you think it will be impactful?

Thomas (Silencio): Mm-hmm. Yeah, maybe I'm going to start there, Theo, and then I'll pass on to you because I'm sure you have some interesting points to add. Okay. Okay. No, so first of all, I mean, I would definitely spread this answer up into different phases. One of them is we are entrepreneurs by nature, Theo and myself, my brothers, we love doing what we do. But of course, we are entrepreneurs and we're not working for non-profit organizations, which is something different. And

Julien (nonoise.club): And now we are in the discussion room, so let's go out all together.

Thomas (Silencio): We are definitely a profit driven organization and this is how we are able to follow these, you know, flywheel model where essentially everybody gets a profit. But if at the same time we can create an impact, positive impact on society and create real utility, not only for the companies consuming this data, but for the users that are creating this data. I think that's an overall win, right? Win, win, win. And this is what we look for in everything that we do because We like to strive towards projects that have a bigger, broader vision in place. And this is what really gets us excited as entrepreneurs. And everything we have touched so far in the past has always been that way. And we want to keep it that way going forward.

Julien (nonoise.club): At least I trust you on that. So that you do that for impact, I'm sure about it. Why do you think it will have impact? You told me once, once the noise node or the noise measurement is placed on Google reviews, for instance, people are trying to reduce this level. And you told me before, one billion of people using that data is your target. But how many people, how many users recording or measuring noise do you need to have that data alone? And how big should it be to have really impact and that people and the restaurant and any locations start to think, OK, we need to reduce noise because our Google review on noise is a disaster.

Theo: Yeah, I think it's noise as also this answer would be it's a subjective matter, no? So it might have been noisy in that very moment. That doesn't mean that there is a trend that indicates that over time that place is noisy. So to turn it around, what we're looking here, and this is the reason why we have a strong scientific team as well of professors looking exactly into the data. to create the insights that we need that are conclusive. If you have one reading of one place, it doesn't tell you much. But if you have a thousand readings over time, different days of the day, sorry, of the week, and then different weeks and months, it gives you a good picture or a much better picture than if it's just one reading. So with that said, we're looking at the rule of large numbers here. The more...

Julien (nonoise.club): Yeah, exactly. OK, so you don't want to display like, I don't know, I've been, I look for a restaurant, I'm on a Google review, I see 70 decibels because the guy before me or yesterday had recorded 70 decibels, but maybe he spoke at the same time and it's completely subjective. So we try to create a kind of a range of this data, of a data set, complete data set. OK.

Theo: Exactly. Precisely. So Julien, it's like this. If you go out today and you want to drink a coffee and you look for a coffee place that says, you know, this coffee place has terrible coffee because one person has said that they had the worst coffee in their life. No, you might say, OK, this gentleman might have been upset that day or there's a lot of subjectiveness that flows into this and bias, obviously. But if there's I don't know. 2000 people that say that the coffee isn't great, you might avoid that place. And so we think the same about our data. The more condensed and the more data we collect, the better our insights. So to answer your first questions, how many users we need, we're going to need millions of users to make this a reality. And this is where the element of gamification that I have mentioned at the beginning comes back. So let's say that we have an area that isn't covered well enough that we need for commercial purposes to cover because we got a mandate from a city that wants to understand noise pollution better. So we say, okay, let's take this area, the city of London, for the sake of the argument, and we're to increase rewards in this area for a given time. So users are incentivized to move there to create value for the network because ultimately they're financially driven in that sense. And they're going to go there and generate that data infrastructure.

Thomas (Silencio): Yeah. And there is one big aspect there to add, which is the power of machine learning, combining it with all of this, right? We're creating the foundation to be able to take smarter decisions and increase the density and the certainty of the data that we're looking at. So this means that once you get to the data foundation you need, you can very quickly already get to an all comprehensive data set that is able to be commercialized on a worldwide scale. Mostly on the cities or the places where we have the highest degree of certainty. So this already all of a sudden created the tool for you to take smarter decisions in your everyday life. if I would compare, let's say, the market 30 years ago when smartphones weren't the norm, and you would decide on where to have dinner tonight or where to go on vacation next week. You wouldn't have direct information on how good is the rating of that restaurant if I'm visiting a new place, how good is the weather going to be? And this is information that today it's already seeminglessly incorporated in my everyday life. I take it as granted, it's influencing your decisions. And that wouldn't have been the case otherwise.

Julien (nonoise.club): Yep. Totally. And we have the same behaviors. Yeah, totally. And it reminds me that when you say all that, it's not just about... mean, the use case of having a romantic dinner with your spouse is a nice one speaking to a lot of people. there is a lot of... If you want to have a business lunch, sometimes it's just really difficult. And we speak about normal moment for people having all have capabilities. But when speaking about people having any certainty or hearing aids, hearing problems, older people, elderly, or even people with autistic syndrome, it's become just a massive issue. It's not just about having a romantic dinner and at that place I need something. It's a day-to-day issue of a lot of persons. I had a discussion about tinnitus a few days ago. That's exactly the same when you suffer from tinnitus. You need a quiet room and going to a noisy restaurant, to a noisy bar, it's just... You already know you can't go in. And a few weeks ago, I've been in a very big business party, event network, and I went outside just to get some fresh air. And all the time I met people just saying, I don't smoke, I didn't eat fresh air, it's way too cold. I need some quiet space because it's way too loud inside, which is normal for a business event with a concert. But at the same time, people are just suffering. And these people are not taken into consideration. So I love completely the idea, and that's I wanted to have you here in this podcast, that we need to make this data available for anyone. And we need to be aware of it. And I'm sure that even displaying the data for people not being aware of it, will increase their awareness of noise pollution and they will start to think about that. And as you said at the beginning, once you know about your startup or once you know about noise pollution, you start thinking about, yeah, you're right. It's really disturbing. So that's a way to go for the code of noise pollution.

Thomas (Silencio): Yeah, I completely agree. And I mean, we started noticing now over the last two, three years that we are using our own data on day to day decisions. Let's say if we would have taken our business call and I will be in a city that I do not know the places around me, I would definitely already start using my data to find a quiet coffee place to be able to even take a call from there. Right. The other day I was traveling and I use our data to put it on top of the Airbnb map to see, you know, Where should I book an Airbnb? And imagine having all of that integrated directly. So we definitely see the potential, but we understand that if we do our job right, not only is it going to create that division that we are explaining, but it's also increasing the awareness. And if we can bring this message to millions of people, that already is going to speak for itself as people tend to share good information with one another.

Julien (nonoise.club): Mm-hmm.

Theo: There was a very disturbing article once that I read in the New York Times that came out, I think last year, and it showed that over 100 million individuals in the US, so in the United States, are living in environments that are above the recommended 65 maximum of the World Health Organization. think wasn't even that it's a hundred million that disturbed me but it was that it was mostly marginalized yeah people in society already that are of lower income yeah and so i think that this then trickles down and the article saying that the impact that you have on noise on kids for example is tremendous yeah

Julien (nonoise.club): Yeah.

Theo: When it comes to learning capabilities and learning impairment, takes a big toll. so essentially it creates this vicious cycle in which children of already, you know, with more challenging backgrounds and less economic means are growing up in environments where they can't develop their full cognitive capacity. And through that, don't get the same chances as other people. And so only understanding noise pollution to address this has a tremendous health, financial, but also societal impact if addressed correctly.

Julien (nonoise.club): mentioned a lot this study of, I think it was in a New Yorker high school many, many years ago, they compared a classroom, a quiet classroom with a classroom with mobility noises from railway, if I'm not mistaken, and they compared the results. The kids in the loud classroom is losing one quarter per year of education, which is...

Theo: Yeah. Yes.

Julien (nonoise.club): crazy and if you have children of if you take care of all the education of children you think okay, that's that's a major issue we have we have outside and Sometimes just compare it with the performance in the company And when people say yeah, it's a bit loud in the office, but you know, that's our culture. That's that's great Okay, but it's it's really tiring. It's stressful and you kill your performance. So imagine you have your your your you you you spend wages for 100 people and you have 25 people in average not performing because it's too loud. So at that time, companies would start to invest way more if we give that kind of data. that's a real point. I wanted to go back on that. you think we have an influence on regulations? Because I see very, very different regulations and you know exactly as good as me that regulations are driving investment as well. So if we have more regulation in the future, we will have more investment into that area. Do you think regulation will change? Do you feel that coming? And do you think your network, CIDENCIO, will help to do that?

Theo: So for example, through our scientific advisors that work with the European Union on noise directive, we know very well that the European Union has a noise directive to reduce noise within the urban spaces until 2030. There's also the requirement for member states to map out noise within cities. All of this is today coming too short, bottomless. We're missing the data infrastructure to address this. So this is hopefully one place that we can come in, in order to create the insights again to address and to demonstrate the severeness of noise pollution and through that impact regulations.

Thomas (Silencio): Yeah, and I also need to consider that regulation comes also through pressure from society as well, right? And if we can create the tools to empower society to be able to create attention for a problem that otherwise would be lost into oblivion, and we create not only the data records to showcase all of this, but collectively empower people to do so, then all of a sudden you're giving the small, so to say,

Julien (nonoise.club): Mm-hmm.

Thomas (Silencio): David, the tools to fight against the Goliath.

Julien (nonoise.club): I speak to regulators on a national or European level and I'm convinced that things are moving. But you said that we need data and I hope you're providing the right tool. Guys, it's been really a pleasure to have you in this podcast. Thanks a lot for your attention, for your time today and your explanation about Silencio. Last questions. I understand the impact you can have and I won't ask you what can you do for our listeners because I hope it will bring a lot of impacts and reduce noise pollution and do a lot for the listeners. But what can the listeners do for you? or can they help you?

Theo: Yeah, so again, I think we invite anyone that has and wants to contribute to download our app to test it out for themselves to give us feedback. That's the best that we want from our users to tell us, you know, make us aware of certain functions or things that they would like to see and test out the product. And at the end of the day, we're trying to create something here for the community that is community owned and led. And we are, yeah, through that trying to create the best possible.

Julien (nonoise.club): Thomas, do you agree? I fully agree. Dear listeners, know what to do. Silencio.network. You can download the Silencio app on the app stores and try it out. Normally, I would ask you, can you do some special conditions for our listeners, but they already get rewarded by your app. It's already very good. Guys, just try it out. Give some feedback.

Thomas (Silencio): on that.

Julien (nonoise.club): Can we reach out to you through LinkedIn maybe or what's the best way to contact you? Perfect.

Theo: Yes, LinkedIn or Twitter, whichever you guys prefer or email.

Thomas (Silencio): We have a very vibrant and active community also on Discord or X. I think this is where you're going to find also the people. And if you guys, when you enter the app, there's going to be the chance of including a welcome code. And if you use the name welcome, you're going to get an extra bonus when you start. Of course, the current product is more driven towards a Web3 community. But as we progress this vision into the future, we're going to see a much more Web2 targeted approach.

Julien (nonoise.club): So I propose we do something else. We do a no-noise code together and we discuss afterwards that we get even better, even better bonus than the welcome one. Let's discuss about it later. No pressure, Theo, Thomas, it was really nice to have you. Thanks a lot for your time and I wish you well and we speak soon.

Theo: fantastic Thank you, Julien, for having us.

Thomas (Silencio): Thank you very much for having us here, Julien. was a pleasure.

Julien (nonoise.club): Bye bye.