Henri Pihkala with Streamr: The Decentralized Platform for Real Time Data (Episode 190)
Today Henri Pihkala joins us to discuss Streamr: the decentralized platform for real‑time data.
Henri founded Streamr to make data more available, fair, and valuable for all. Built scalable infrastructure & tools for real-time data for 10 years. Passionate about the decentralization of applications and data infrastructure. Previously CTO at two algorithmic trading companies, one of which he co-founded, and CEO at a startup building cloud-based data infrastructure for IoT.
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Links:
- Website: https://streamr.network/
- Streamr whitepaper: https://streamr.network/whitepaper
- GitHub Link: https://github.com/streamr-dev
- Block Explorer: https://etherscan.io/token/0x0cf0ee63788a0849fe5297f3407f701e122cc023
- Twitter: https://twitter.com/streamr
- Medium: https://medium.com/streamrblog
- Reddit: https://www.reddit.com/r/streamr/
- Telegram: https://t.me/streamrdata
- Youtube: https://www.youtube.com/channel/UCGWEA61RueG-9DV53s-ZyJQ
- Linkedin: https://www.linkedin.com/company/streamr-network/
- Docs: https://streamr.network/docs
The following transcript was created using artificial intelligence. There will be some grammatical errors below.
00:00:05:11 – 00:00:19:26
Richard Carthon: Hello, everyone. Welcome to another episode of Crypto Current, your host here, Richard Carthon, and today I got a special guest working out in the Crypto Land all the way out in Switzerland working on a really extremely cool project, Streamr Network. We have Henri, how are you doing today?
00:00:21:07 – 00:00:25:23
Henri Pihkala: Hey. Thanks, Richard, for having me on. I’m doing excellent. Happy to be on the show.
00:00:26:05 – 00:00:34:07
Richard Carthon: Excellent. Well, I’m excited for you to be here, excited to learn more about all the things you have going on. Before we do, I want to learn more about you. Can you give us some background on yourself?
00:00:36:05 – 00:01:19:14
Henri Pihkala: Yeah, sure. So, hey, I’m Henri, I’m Co-founder and CEO of Streamr. I have a tech background, so I used to study computer science, went on to become a professional software engineer. I used to work in e-commerce, but then somehow I got into algorithmic trading, which was kind of my first touch point with kind of data and real time data on how to kind of extract value out of that. Did that for a while actually, and then started building some Iot type of big data infrastructure still in the cloud space at the time, but then started thinking more about like, open source and decentralization and Ethereum.
00:01:20:07 – 00:02:02:15
Henri Pihkala: Blockchain had launched and kind of all these new ideas we’re coming up and then I started to think about how the kind of data economies that we’re going to have in the future and data infrastructures that we’re going to have in the future how those should look like and decided to kind of go all in on that stuff. So, I guess I’ll get to talk about that a bit more detail later on. But yeah. Basically, I’m just yeah, been writing code since I was six years old, so I’m a nerdy boy, turned into a software professional, turned into a serial entrepreneur and CEO.
00:02:02:25 – 00:02:24:17
Richard Carthon: I mean, sounds like a very exciting background. I mean, a great entrepreneurial route. And on that lens, you know, you start talking about how you got into algorithmic trading and some of the ways that you really start to get into datasets, like when you start to get into that was that when you first learned about Crypto? Or tell us about how you first learned about the space and then decided, Okay, this is something worth spending some of my attention on.
00:02:25:07 – 00:03:01:10
Henri Pihkala: Yeah. It was in the start of the trading days and especially the first company that I started with, my co-founder, Nica who is also a co-founder in Streamr, so we’ve been working together for like 10 years. And like, back in the day, we were trading just normal stocks on the stock market, right? And Nica was raving about this new thing called Bitcoin and nobody really knew what it was. This was like in 2010 or something like this and Bitcoin was like one dollar, two dollars, I think, market price.
00:03:01:27 – 00:03:02:12
Richard Carthon: Wow.
00:03:02:14 – 00:03:10:21
Henri Pihkala: And it was like, kind of dismissed it as a joke at the time.
00:03:10:23 – 00:03:11:08
Richard Carthon: Yeah.
00:03:11:10 – 00:04:15:07
Henri Pihkala: Didn’t go in, didn’t go, you know, didn’t start trading or anything, we were just kind of quite focused on what we were doing in the algorithmic trading of stocks and the more traditional markets. And we, like, completely missed out on the early days of Crypto, but then the same kind of phenomenon happened again when Ethereum launched in 2015. And then, it was like starting to seem a bit more serious, you know? And when we came to 2016, 2017, the first ICOs were starting to pop up. There was like, actual killer use case for Ethereum. And at the time, we were also like, trying to build data infrastructure, but not in the decentralized space, but rather in the cloud era. But there was always the problem that, you know, no one wanted to build any critical solutions on top of some product made by a little startup somewhere, right?
00:04:15:09 – 00:04:15:24
Richard Carthon: Right.
00:04:15:26 – 00:05:26:21
Henri Pihkala: You know, if you talk to a big enterprise, you know, they’re like, who are you guys, you know? We’re not going to build anything serious because, you know, it doesn’t have that kind of credibility. But then the idea of decentralization and trustlessness and open source and all of that started to click very nicely in the sense that, Okay, we can actually build something, but running it doesn’t rely on us. So, anyone who uses it doesn’t need to trust us to keep it up and running in any way. They can kind of take the driver’s seat in the solution and participate themselves. And that fit really well with the idea of the real time data infrastructure that we were planning to build and stuff that would come on top, such as data marketplaces and data crowdsourcing and this kind of phenomena that didn’t really exist yet at the time and would also not be possible to build as a small startup because of the credibility issue, but would also not be possible to build as one of the big five companies.
00:05:26:23 – 00:06:27:26
Henri Pihkala: You know, Google or Amazon, they would have a hard time building this kind of infrastructure, for example, data marketplace, because people are already kind of concerned about the power that these companies have and the amount of data that they control and collect of companies and processes and individuals everywhere. So, it’s also a challenge for them to build something big like that. So really, the kind of open, decentralized way was the way to go. And also this phase was seemingly starting to solve some of the fundraising problem, as well in the form of the ICO that you could actually make an open source project that can launch a token and get funded by those means. So, it just totally clicked with our idea and we went for it. And we did an ICO in 2017 and raised $30 million for the project.
00:06:28:06 – 00:06:28:21
Richard Carthon: Congrats.
00:06:28:23 – 00:06:37:04
Henri Pihkala: So, we started in 2017 and we made a road map of five years. So, what we’re building is kind of, it’s a big project.
00:06:37:06 – 00:06:37:21
Richard Carthon: Right.
00:06:37:23 – 00:06:57:16
Henri Pihkala: I’m not going to lie. It’s a, you know, challenging thing. And we knew that, Okay, this is going to take time. It’s not like you know, you copy, paste something that already exists to make a new Uniswap clone decks on a new sidechain or whatever. It’s like getting back to the fundamentals and building stuff that doesn’t exist from scratch.
00:06:57:18 – 00:07:01:16
Richard Carthon: Which is a huge undertaking. And real quick, I want to dive into that, so.
00:07:01:18 – 00:07:02:03
Henri Pihkala: Yeah.
00:07:02:05 – 00:07:11:05
Richard Carthon: Now you got into Crypto and you learn about it and you learn about these data sets and you’re like, Okay, how do we get this on a level playing field? How do we get it decentralized in a trusteless way?
00:07:11:15 – 00:07:12:00
Henri Pihkala: Exactly.
00:07:12:02 – 00:07:14:22
Richard Carthon: So, I guess that is where the concept of Streamr came from.
00:07:14:24 – 00:07:15:09
Henri Pihkala: Yes.
00:07:15:11 – 00:07:29:13
Richard Carthon: At which point, 2017, you had your ICO, was able to raise $30. But with that money and what you’re trying to build, can you just simply put like, what is Streamr? And I know that you’re working with data, but what are you ultimately trying to accomplish?
00:07:29:15 – 00:08:02:26
Henri Pihkala: Yeah. Yeah. So, it’s ultimately like a peer-to-peer network for sharing real time data streams. So, traditionally this kind of thing is like, available on, let’s say, a cloud stack, like somebody’s publishing data and some other people are subscribing to data. And there’s usually like a topic that kind of identifies the stream of data that we’re talking about. So, usually there’s like a single machine, everybody connects to that and then the data flows.
00:08:03:04 – 00:08:44:04
Henri Pihkala: And the typical things that you’d implement on this kind of stuff is anything from you know, there’s a very broad range. It’s like a basic primitive, so, anything from a chat application to some real time presence things like, you know, 145 people are looking at this thing right now, all the way to, you know, whole big data ecosystems, where Iot devices in a smart CDR communicating with each other. All of these needs, this kind of messaging infrastructure that is either based on a centralized thing and then you have to trust it and it doesn’t really scale because everyone’s connecting to the same point.
00:08:44:06 – 00:08:44:22
Richard Carthon: Right.
00:08:44:24 – 00:10:03:26
Henri Pihkala: Or you create a decentralized version where everyone is just like a peer on a peer-to-peer network and they’re kind of both consuming and contributing resources to the network at the same time. So, if you’re a subscriber, you want some kind of data from the network, you know, maybe you’re publishing some interesting information, like your predictions about the Crypto markets for the next 60 seconds. I’m interested in that, so, I can go in, I can subscribe to it, but while I’m receiving it, I’m also relaying it on to other subscribers. So, this way we can achieve scalability in the network. So, everyone’s kind of pitching in to make it scale. So, you can have, like, broadcast systems where someone who’s publishing data, it can be distributed to millions of people very quickly and without any central point. So, nobody kind of has control over the network or no one can disrupt it. You don’t need to trust anyone to make these kinds of things happen. So, it’s like a building block for future applications and data economies, so.
00:10:04:13 – 00:10:22:29
Richard Carthon: Right. So, just so I can like, kind of like translate it to some of the newbies out there, the way I see it is you’re getting all these data sets and they all kind of speak a little bit differently. And what you’re able to do is to put them all in like a comprehensive language that they all can then communicate back and share the information in a decentralized way.
00:10:23:01 – 00:10:23:16
Henri Pihkala: Well, yeah.
00:10:23:18 – 00:10:27:11
Richard Cathon: So that all the information is kind of being transferred in a pretty seamless way,
00:10:27:17 – 00:10:53:28
Henri Pihkala: Kind of. You can think of it as something like WhatsApp, but for machines, first of all, applications and machines. It’s not like people, you know, typing text, but usually machines and machine data. The other difference to WhatsApp is that, you know, it’s not a centralized thing, it’s like a co-owned thing. You remember back in the day we used to have BitTorrent that everyone was using to share files.
00:10:54:06 – 00:10:54:21
Richard Carthon: Right.
00:10:54:26 – 00:11:07:05
Henri Pihkala: So, Streamr’s maybe something like BitTorrent, but not for static files, not for like a file that doesn’t change, but rather a stream of data that is constantly changing, right?
00:11:07:07 – 00:11:07:22
Richard Carthon: Right.
00:11:07:24 – 00:11:32:04
Henri Pihkala: So, that kind of thing, distributing and sharing streams of data. Like, let’s say there’s an Iot sensor, a temperature sensor somewhere on my roof and it’s like every 15 seconds producing a new reading. And so, I can kind of broadcast that onto the network and anyone who is interested in that data can get it from the network.
00:11:32:06 – 00:11:32:21
Richard Carthon: Right.
00:11:32:23 – 00:11:46:17
Henri Pihkala: So, there’s the transport layer, which is the stream or network, but then all kinds of things can be built on top. For example, you know, a data marketplace, so that if my data is valuable to you, I can put a price tag on it, right?
00:11:46:19 – 00:11:47:04
Richard Carthon: Right.
00:11:47:06 – 00:12:46:01
Henri Pihkala: And you can go in and buy access to my data. Let’s say it’s like 10 bucks per day to view the data that I’m producing. So, you can do that completely trustlessly. And expanding on that idea, you can also have this kind of data crowd selling. So, if my data alone is not interesting, but the data of a 100,000 people like me are interesting, let’s say everyone uses a certain app or has a certain kind of phone or I don’t know, drives a Tesla or whatever connected car, that kind of thing. Then together, the data of all these 100,000 people, that’s actually interesting and valuable. So, you can create a structure where all these people come together and pool their data into a single kind of stream or data product. And then when someone buys it, then the revenue gets shared with everyone who contributed data, so.
00:12:46:03 – 00:12:46:18
Richard Carthon: I see.
00:12:46:20 – 00:12:57:22
Henri Pihkala: You can kind of have this earned by providing data kind of mechanisms, but everything is built on top of the underlying infrastructure that does the actual message transports.
00:12:58:04 – 00:12:58:19
Richard Carthon: Right.
00:12:58:21 – 00:13:00:19
Henri Pihkala: So, it’s like a layered thing.
00:13:00:25 – 00:13:25:10
Richard Carthon: So, what you just kind of described, you know, the first two things that came to mind was like, Okay, where are you seeing that kind of challenge where people don’t want either their data shared or they want it to be like something that they have the option to opt into? Apple recently put it somewhere with certain data that’s being shared, you have to opt into letting that happen. But the difference here is that, like, if you were to opt into letting your data be shared, you actually will be compensated for however it is being used.
00:13:25:12 – 00:13:25:27
Henri Pihkala: Exactly.
00:13:25:29 – 00:13:36:03
Richard Carthon: In a greater way. And like, I think that is a lot more appetizing to people then everyone just mindlessly getting their data taken anyway and then not really being compensated for it in the first place.
00:13:36:24 – 00:13:47:21
Henri Pihkala: Yeah, exactly. This is one of the use cases and there’s countless. It’s such a like, basic primitive that there’s countless use cases. It’s kind of like what’s the use kind of Blockchain or smart contracts, right?
00:13:47:24 – 00:13:48:09
Richard Carthon: So many.
00:13:48:11 – 00:14:10:23
Henri Pihkala: It has many. And you know, then the killer apps are eventually discovered. And this kind of data selling data marketplace is data crowdsourcing. It’s one killer app, but, you know it’s a building block for future applications. And the Web 3.0, the decentralized web.
00:14:11:13 – 00:14:11:28
Richard Carthon: Right.
00:14:12:00 – 00:14:12:15
Henri Pihkala: So.
00:14:12:26 – 00:14:29:16
Richard Carthon: Yeah. I mean, so many different use cases. It sounds like a lot is in the pipeline. One of the things that we kind of talked about before coming on the show is that I believe you have something very interesting where you have a potential new Dow coming up, a potential spinoff. Do you want to kind of talk about that a little bit?
00:14:30:08 – 00:14:55:15
Henri Pihkala: Yeah. That’s actually related to the data crowdsourcing idea that I was describing. So, there’s the transport layer, which is the Streamr Network, and then we build like, kind of like a product on top that’s called data unions. And that’s exactly like a technical framework for doing that kind of data crowdsourcing thing that I was describing. So, 100,000 people combining forces to earn on their data.
00:14:55:28 – 00:14:56:13
Richard Carthon: Right.
00:14:56:15 – 00:15:07:02
Henri Pihkala: So, this product is now being spun off to kind of separate project called the Data Union Dow, which will have its own token called Union.
00:15:07:27 – 00:15:10:19
Richard Carthon: And real quick. Can you explain what a Dow is for everyone?
00:15:11:00 – 00:15:51:13
Henri Pihkala: Oh, right. Okay, so, Dow is basically like a governance method where people vote with tokens. So, it’s a way to make decisions and organize around a project or like, govern technology such as the data union’s framework. So, basically, everyone who’s building on the technology, everyone’s who’s kind of interested in having a stake in the ecosystem, they can join into influencer where that is going. And also on the Streamr project the decisions are made in that same way, so, everyone’s kind of able to participate and make decisions.
00:15:53:19 – 00:16:32:03
Richard Carthon: Which is extremely cool. Like and I just want to take a second on this really quickly. Like, imagine you basically becoming part of this company and truly having a voice, truly having a way to vote on the future of where a company is headed. So, you know, and a lot of companies in the US, for example, if you have like, an LLC, you have it centralized and usually need like, a 51 percent majority rule. But if you have board members and also other kind of stuff, it still could be very hard to decide where the direction of the company is. But when you have a Dow, it is a lot more decentralized and you have a lot of different viewpoints from the people that are within it. It allows for a lot more decisions truly being made by the people within the group.
00:16:32:05 – 00:16:32:20
Henri Pihkala: Exactly.
00:16:32:22 – 00:16:33:21
Richard Carthon: To drive decisions forward.
00:16:33:24 – 00:17:06:04
Henri Pihkala: It’s like a direct democracy, which we have here in Switzerland. I’m a Finnish guy and I’m kind of excited about the governance model of Switzerland, where it’s like people go and vote directly and it’s exactly the same in the Dow that people can go and vote directly to make those decisions. And when you are building something like Streamr or the data union’s framework, it’s like fully dependent on the ecosystem and the builders in that ecosystem, because they are actually like why we’re doing it, right? For someone to use it.
00:17:06:06 – 00:17:06:21
Richard Carthon: Right.
00:17:06:23 – 00:17:28:15
Henri Pihkala: And for someone to find value in it and to, you know, create new businesses or create new value. So, it’s excellent that there’s like, models where these stakeholders can directly participate and contribute. And you can kind of tap into the wisdom of the crowd instead of being a dictator in a country and say, Okay, now we do this, you know?
00:17:28:17 – 00:17:29:02
Richard Carthon: Right, which is really cool.
00:17:29:04 – 00:17:30:20
Henri Pihkala: So, that’s exciting.
00:17:30:26 – 00:17:47:12
Richard Carthon: Yeah. And I’m glad that that’s coming up. And for everyone that’s listening and really enjoying what Streamr and everything the Streamr’s Network got going on, the Union Dow, make sure you go look and check that out. But, Henry, I know that you have another major milestone that’s coming up pretty soon, can you share that with us?
00:20:57:07 – 00:22:39:02
Henri Pihkala: Yeah. This summer, late summer in a reach, one of the biggest months on the Streamr Network marks the decentralization of the network and means that anyone can node in the peer-to-peer network. Whereas so far, if you’ve been on Streamr and have an application that’s, you know, sharing data, you’d have to rely on nodes that are run and hosted by us, right? But once it’s decentralized, nothing can stop it. It becomes unstoppable, it will be good. You know, there’s no way back. And this has always, of course, been the goal, but it’s been kind of tricky to get there. And not only that, but once we reach this milestone, then the next step is to add in token incentives. So, it’s kind of a mining process, so, you can join in, run a node, contribute bandwidth to the network and help relay those streams of data in the network and earn tokens by doing so. So, it’s very different from the kind of mining that you have in proof of work networks like Bitcoin or Ethereum, where you’re basically just burning energy to secure the network. But on Streamr, you’re contributing useful resources, bandwidth, right? To the network to create the kind of service that it provides, which is data transport.
00:22:39:04 – 00:22:40:19
Richard Carthon: Which is very.
00:22:41:00 – 00:22:41:15
Henri Pihkala: Yeah.
00:22:42:04 – 00:22:50:24
Richard Carthon: I mean, which is really important and needed. A big milestone, as you said, and I’m sure a lot of time and effort and energy has gone into building that out.
00:22:51:03 – 00:23:38:27
Henri Pihkala: Yeah. And lots of people have signed up for running a node in the test net. There’s like, I think 3,200 people so far who’ve like, said that, Hey, yes, I want to run a node in the test nets and try it out. So, that’s coming this summer and anyone can still join in. There’s no size limit. In fact, we’d like to have like, as big as a test net as possible to kind of prove the scalability of the network. There’s also 2,000,000 data tokens up for grabs that amount to around $300,000 at today’s prices for those who participate in those test nets. So, there’s also tokens to be earned in exchange for helping us out.
00:23:39:18 – 00:24:03:13
Richard Carthon: Awesome. So, for everyone listening, if you’re interested in that, make sure you go participate, make sure you earn some of that money and help build out this amazing network. But, Henri, you know, you’ve been in this space for a while, and I believe that Streamr’s being built on top of the Ethereum ecosystem and as you know, one of the challenges with this ecosystem has been scalability. So, can we kind of just talk about like, where you see the future of scalability on the Ethereum, Blockchain headed?
00:24:04:18 – 00:24:50:14
Henri Pihkala: Yeah, for sure. it’s definitely headed in a brighter direction like, as we’ve seen with the sky high gas prices and everything, it’s kind of been reduced down to almost unusable. From our point of view, it’s not a big blocker, because we don’t, you know, we only rely on the Ethereum chain for certain things that are not that frequent. So, for example, the data itself, of course, doesn’t go there. It stays on the Streamr Network. So, we kind of achieve scalability in our own use case. But if you think about things like micropayment and having like, these data economies emerge that I was talking about, that does require a bit more scalability from the actual on-chain side of things.
00:24:50:27 – 00:25:25:10
Henri Pihkala: And currently what we are doing is like looking into side chains. So, we have much of the data union stuff on X chain. We’re looking at the Polygon chain as well. It’s kind of expanded the reach there. But of course, like, the next step is the L2, so, you know, stuff like arbitral or optimism ar just around the corner. And it’ll be very interesting to see how they affect things. And we’ll be keeping a, you know, a very keen eye on those ones and eventually Ethereum 2.0.
00:25:25:17 – 00:26:30:19
Henri Pihkala: But I think, like, we’ve been like, in the Ethereum space since the early days, 2016 when we started to look in this direction. And it doesn’t seem like, you know, it’s definitely here for good. I’m not any kind of maximalist, but very comfortable in the Ethereum space and very confident on the kind of network effects and the capability of innovation that exists in that space. But at the heart of things, Streamr itself is kind of a Blockchain agnostic technology. So, you know, who knows what the future will bring. But currently the pace of innovation and progress in the, especially in the Ethereum scaling space is just mind blowing. You can already bridge tokens to the different side chains very easily. And yeah. As always, with Crypto, the usability is one main blocker I think for, you know, mass adoption of new kind of things.
00:26:30:21 – 00:26:31:06
Richard Carthon: Right.
00:26:31:08 – 00:26:39:16
Henri Pihkala: But there’s been plenty of improvement also on that area. So, overall, I’m very optimistic, very bullish.
00:26:39:18 – 00:26:40:11
Richard Carthon: Yeah.
00:26:40:13 – 00:26:46:10
Henri Pihkala: About the overall space and looking forward to what the future will hold.
00:26:46:26 – 00:27:16:14
Richard Carthon: Oh, definitely. I very much believe in the Ethereum ecosystem and it has a lot of legs and I don’t think it’s going anywhere anytime soon either. If you follow where a lot of developments are being built, Eth’s still leading the charge, so that alone speaks volumes. But, you know, as we kind of wrap up, I always like to finish with two fun questions. One of them being if you could take all the knowledge you have right now and go back and part wisdom to yourself when you first got started in the Crypto space, what are some things that you would tell yourself? Two or three things?
00:27:18:20 – 00:27:55:16
Henri Pihkala: Wow, what a good question. I wasn’t expecting that. Well, maybe, like, okay, thing number one, things are crappier than what you expect them to be. Like, when you’re early into something like, there’s no docks, there’s no tools, there’s bugs everywhere. You know, it’s just an uphill battle when you’re trying to build something. But that’s not a problem because it tells that you’re in the right place at the right time. Like, when everything is ready and polished, you’re already late, right?
00:27:55:18 – 00:27:56:03
Richard Carthon: Yeah.
00:27:56:05 – 00:28:19:00
Henri Pihkala: Everyone else is there already. Like, everything is final and polished and you know, you don’t even have a say into anything. So, you have to learn a new technology or try things out or you know, just endure that slight crappiness that exists everywhere in the Crypto space, especially since, you know, okay, we’ve come a long way, right?
00:28:19:02 – 00:28:19:17
Richard Carthon: Right.
00:28:19:19 – 00:29:04:26
Henri Pihkala: But you know, it’s always there, this immaturity of everything. And it’s there for a good reason. And we should kind of appreciate it in some way, because like I said, it’s a sign that we are here at the right time. You know, we’re building something new. So, maybe that’s one thing that I’d like myself to realize early on, because it would just make my journey a little bit easier and not stressing on the why is everything so kind of immature? It’s hard to build things and so on, but then you just factor it in and appreciate it. Okay, this is supposed to be this way.
00:29:04:28 – 00:29:05:13
Richard Carthon: Right.
00:29:05:15 – 00:29:08:15
Henri Pihkala: Because it’s early and, you know, so.
00:29:08:17 – 00:29:20:23
Richard Carthon: That’s a really good perspective, honestly. It’s an extremely good perspective and as much as things have gotten better, we’re still extremely early. We’re still so early in this.
00:29:20:25 – 00:29:21:10
Henri Pihkala: Extremely early, yes.
00:29:21:12 – 00:29:35:00
Richard Carthon: There’s still polish being put on it, but it’s still got a long way to go. But I really, really enjoy that perspective. And for everyone listening, make sure you go back and listen to it again like, it’s okay if you’re uncomfortable as you get into a new thing, that means you’re in at the right time.
00:29:35:02 – 00:29:35:17
Henri Pihkala: Exactly.
00:29:35:19 – 00:29:51:05
Richard Carthon: Because if you can figure it out before everyone else does, you’re miles ahead of everyone. So, definitely, definitely keep that perspective. But Henri, man, I really do appreciate all your time, all the wisdom and knowledge you’ve dropped on us telling us about Streamr, but what is the final thought that you want to leave with all the listeners here today?
00:29:52:07 – 00:30:21:27
Henri Pihkala: Yeah. I guess maybe stay curious, believe in the decentralization. Like, you know, just take the blue pill instead of the red pill. You know, enter the matrix and see the future with your own eyes and get involved. There are so many ways. Like even if you’re not a developer, you know, you can participate in governance, you know, contribute your insights and wisdom.
00:30:22:15 – 00:30:41:10
Henri Pihkala: Or if you’re a developer, you know, learn stuff, build things. You know, just the sky’s the limit. And maybe also the crappiness of immature technology is a limit but as we just established, enjoy it instead of kind of feeling the pain of that.
00:30:41:27 – 00:30:52:23
Richard Carthon: Absolutely. I think that’s an incredible final thought. And I appreciate you sharing that information and all the information you shared with us. So, what are ways that people can learn more about Streamr and also learn more about you and connect with you?
00:30:53:21 – 00:31:05:03
Henri Pihkala: Yeah. I guess the best way is to start from our project website, which is Streamr.Network. And Streamr is spelled without the last E in there, so stream-r. Get that right.
00:31:05:18 – 00:31:06:03
Richard Carthon: Yes.
00:31:06:27 – 00:31:19:24
Henri Pihkala: Back in the early days, we were so poor before the ICO era, we couldn’t afford the domain name with the E in there. So, we had to kind of modernize it by dropping the E and making it just stream-r.
00:31:20:25 – 00:31:21:10
Richard Carthon: Right.
00:31:21:12 – 00:31:32:28
Henri Pihkala: But it kind of stuck by itself. So, that’s the story there. We also have a Discord where the community joins and can ask questions and the team members are there. So, you’ll find a link to that on the website as well.
00:31:33:16 – 00:31:39:29
Richard Carthon: Absolutely. Well, thank you for sharing that information. Thank you for spending time with us. And of course, for everyone listening, stay Crypto Current.
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