Unchained - Oracles: Does the Backbone of DeFi Need Fixing? - Ep. 537
Episode Date: August 29, 2023Oracles are all about bringing important data (mostly asset prices) onto the blockchain. As such, they’re a key part of decentralized finance. But oracle provider Pyth sees room for improvement as i...t relates to being more real-time than crypto incumbents like Chainlink. Mike Cahill, the CEO of a brand new Pyth-linked firm called Douro Labs, joins the show to explain the opportunity he sees in building better oracles. Listen to the episode on Apple Podcasts, Spotify, Overcast, Podcast Addict, Pocket Casts, Stitcher, Castbox, Google Podcasts, Amazon Music, or on your favorite podcast platform. Show highlights: how Pyth Network works and what the upcoming Perseus upgrade consists of Mike’s background in traditional finance why oracles are necessary in crypto and what the challenges are for oracle providers whether it’s hard for traditional institutions to participate in crypto protocols what the four types of oracle solutions are and how they differ how Pyth determines which data providers are allowed in the network and how that will change if it becomes more decentralized why Mike compares the scalability of Pyth to how Facebook grew why Douro Labs is being launched and why it will be solely focused on Pyth for now the factors driving Pyth’s growth, according to Mike Mike’s opinion on the current state of the crypto market and what the endgame is for Pyth Thank you to our sponsors! Crypto.com Arbitrum Foundation TOKEN2049 Guest: Mike Cahill, CEO at Douro Labs. Links What’s the Difference Between Pyth and Legacy Oracles Unchained: What Are Blockchain Oracles? Learn more about your ad choices. Visit megaphone.fm/adchoices
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So the vision that we have for Pith is that all the world's financial data should go through Pith to be brought onto blockchains in a way similar to all the world's music going through Spotify.
Hi, everyone. Welcome to Unchained, your no-hype resource for all things crypto. I'm your host, Laura Shin, author of The Cryptopians.
I started covering crypto eight years ago and as a senior editor at Forbes was the first Mainstream Meteor reporter to cover cryptocurrency full-time.
This is the August 29th, 2023 episode of Unchained.
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app. New users can enjoy zero credit card fees on crypto purchases in the first seven days. Download
the crypto.com app and get $25 with the code Laura. Link in the description. Today's guest is Mike
Kay Hill, CEO at Doro Labs. Welcome, Mike. Thanks so much, Laura. excited to be here.
You're a longtime Pith contributor, and today you have some news about new developments in that
ecosystem, but why don't we just start with your background. Tell us about Pith, what it is,
and what problem it's been trying to solve. Yep, absolutely. So Pith is a data Oracle network,
and it is focused on bringing financial market data on chain in a trustworthy way,
with very low latency.
And my background is in traditional finance.
I started at Morgan Stanley on the FX sales and trading desk out of college at a very
interesting time where the markets for equities and futures had already become electronic,
and FX was undergoing that transition.
And so I could kind of sense out the paradigm shift that was underway, and I tried to position
myself to be in an opportunity to take advantage of it.
So the first thing I did was move over to electronic trading desk at Morgan Stanley.
But then I realized that the winners were not going to be big banks, but instead trading firms.
And so I made my way over to KCG, who is the largest U.S. equity trader.
And I helped build out the FX trading business there.
And then in 2017, it was being acquired by another trading firm called Virtue.
And during that time of the due diligence, it was effectively pencils down.
And so you had a bunch of basically hungry traders sat in a room.
The ICO boom was well underway.
And you can imagine in the scene where we were very quickly learning about crypto.
So we were all attracted to the kind of very obvious arbitrages that were available on centralized exchanges.
But what really ended up being in paradigm shift for me is as I started playing around and getting an understanding, the first trade that I did on Ether Delta was.
was an absolute eye-opener.
I had already understood that the blockchain innovation
would allow for smoother remittance around the world.
But this was the first time
where I fully appreciated that something like wealth management
or decentralized interactive brokers was possible,
and you'd be able to effectively give
these financial planning tools to, say, a Kenyan farmer.
Yeah.
And so that was my journey down into crypto.
I got a job or was recruited to jump trading when the Crypto Desk was emerging.
And I started there in 2019.
And that's when I started getting involved in the Pith Network.
And today I'm announcing the formation of Dural Labs, of which I'm the CEO, we have got 20 people.
And we're a blockchain infrastructure company.
And we're really focused on accelerating the growth of the Pith network.
Yeah.
So let's give listeners more background on Pith.
you're trying to solve this Oracle problem, which is a pretty sticky problem in crypto.
Describe a little bit what it is the problems that Oracle providers face in the crypto ecosystem.
Yeah. The Oracle problem, by definition, is the shared state systems of blockchains don't have access to exogenous data.
And so someone needs to bring it on chain. And then there's a whole bunch of tradeoffs with who you're going to trust to bring it on chain.
and we've lived through several cycles of them.
And each time there's a big issue, I think a new Oracle network kind of gets created.
So if you were to just start with building a application and you wanted to connect it to an Oracle network or you wanted to connect to an Oracle, let's say that you were building a lending protocol.
The most intuitive thing that you would do, if you were not that custom to dealing with,
blockchains is connect to, say, the Coinbase API. And then you'll run into some problems with
that. For instance, there is downtime with the Coinbase Exchange. There's downtimes with their
Coinbase API. They may update it at some point. They may not have all the assets that you want
to have covered, or they may underrepresent the market. Like, they may have one of the assets,
but it mostly say trades on Binance. And so your price on Coinbase may not be reflected. And so,
you can start to build out a case for having to add more data sources and you effectively
have to deal with certain tradeoffs. And most of those tradeoffs are around the speed with which
you can update. And so the reason why we developed Pith or I started working on Pith was the
prevailing solution at the time a few years ago, which was ChainLink, had two issues. We
We thought with it.
The first one was that it was relatively slow.
So it was updating every, say, hour or 50 basis point move.
And then the second problem with it is that it only uses free data.
And when you're working at a kind of a systematic trading firm, there's two things that
are drilled into your head constantly.
The first one is that latency matters.
And if you're slow, you will have adverse selection or you will lose money.
And the second is that market data is pretty expensive.
So financial market data in the traditional asset world was $6.5 billion in revenue in 2022.
So if your model is predicated on getting that data when it's free, you're going to have a very high limitation to what is available.
And so that's really where PIF decided to focus on in terms of the sector and how we were going to develop the network to provide that.
with the lowest latency possible.
And so how does Pith do that?
So PIF is inclusive.
It's a first-party data network, and it's inclusive of sources.
So kind of the nodes in the Pith network are the ones that are actually publishing the data
or generating the data themselves.
And so those consist of trading firms and exchanges.
So there are 85 data providers in the Pith network today.
We count pretty much every large trading firm, almost without exception, from jump trading
DRW, Susquehanna, Jane Street. And then we have pretty much every large exchange on the
crypto side from Binance on down to the smaller ones and also some traditional exchanges. So
MyX, IEX, Memex are U.S. equity exchanges. And in December of last year, CBO global markets
joined as a data provider. Now, to us, this is a very important component of it. And the analogy
that I sometimes will make is that when we looked at the model that was not inclusive,
so the reporter network, which relies on nodes that effectively go scrape data from the
internet and publish that on chain, felt and looked a lot more like digital music in the late
90s where you had Napster that enabled people to, for a short period of time, make all the
world's music available for free. Obviously, that model is broken because the
intellectual property creator is not rewarded for it. And so you have this kind of tragedy of the
commons. So what model worked was the Spotify model where the content creator or the song creator
is rewarded. And that is what we thought to do on the Pith Network, actually the Pith Network seeks to do,
which is to be a place where all the world's financial data can be distributed through in a similar way
to all the world's music being distributed through Spotify.
And the crypto markets are notoriously volatile,
and there have even been flash crashes on exchanges as kind of, you know,
professionalized as Coinbase.
How do you distinguish either volatility or flash crashes from something like price
manipulation?
Ooh.
So typically what will happen with like an Oracle attack even,
and we'll just use that as an example because that'll give you someone who's deliberately doing this,
and it'll give us a framework for thinking about how it could happen without the deliberate element to it,
is that you will find a small exchange that's being used as an Oracle,
and you will momentarily move the price and then take some action on chain.
So, for instance, if you were able to take out a loan with something where you can make the value of it on the Oracle,
go really high, you take out this loan, and it comes back down, the lending protocol typically
ends up with bad debt. And that sort of what's happened with like the mango Oracle exploit,
and it's happened on Venus as well. So those are obviously, you know, bad outcomes and something
that you want to defend against. There was a really cool blog post written by Sam CZ's son
like a number of years ago that dove into the details of that. And his conclusion was,
was the best thing to do is to slow things down.
And so he kind of advocated for some version of a time-weighted average price.
And in fact, you've had many people use the uniswop, T-wop, as their Oracle.
And the idea is like, well, we don't really need updates all that frequently.
We just want to have something that's not going to have this exposure.
Now, from a trading perspective, as I mentioned before, latency makes you effectively lose money somehow.
You can think about impermanent loss almost as latency arbitrage with adverse selection being the LP holders because they're dependent upon somebody who has faster information to come and update the market price at their expense.
So when you kind of put this framework together, you know that it's not great to be slow, but you don't want to take all the risks of being fast and wrong.
So what PIF has designed is very innovative.
So the first thing is each of the data sources are required to update the kind of the block time for our PIF net, which is every 300 milliseconds based on this long of technology.
But they're updating not just a price, a single price at any point.
They're also including confidence interval.
And so you have a band with which you can use to determine whether or not that price is.
very trustworthy. And this
innovation allows us to update prices
very frequently and give the
protocols who are downstream the ability to make
more informed decisions. So for instance,
if something did flash crash on a single exchange
and all the other data publishers on the network
did not represent that, then it would be
represented through the confidence interval because it would
show you that the confidence is very low and the confidence
band is wide. So the idea there is that you can basically interpret the price as saying,
this is generally where the price is, but it could be somewhere in this range as well. And so that
was what allows Pith to be able to be very fast, but also very accurate. And you mentioned some
data providers that definitely come more from the traditional financial world rather than crypto.
And I wondered how those conversations went.
What does it take to get that kind of institution to want to partner with a company that is essentially trying to bridge, you know, from the traditional financial world to crypto?
Are they open to it?
Or is it something pretty out of the box for them?
Is there a lot of persuasion that needs to happen?
Tell us a little bit about that.
So there's basically two types of parties that are interested.
in providing data on Pith.
So the first one would be sort of trading firms.
And their motivation tends to be that they've never monetized
their market data in the past, right?
And so I mentioned that $6.5 billion of revenue
is earned through market data.
It's mostly earned by the large exchanges.
And the trading firms are not participants on that.
They basically use the market data to be able to make trading decisions.
And that's about it.
So one way you can think about that is, you know, PIF in this example is sort of like Airbnb.
And, you know, the trading firms have these found assets where they can now monetize them for the very first time.
And then the second group.
So if we think about someone like Sibo who does monetize their market data, the way they think about it is it's about 20% of the revenues from all these large centralized exchanges.
And what they want to do is be a part of the future, which they assume could potentially be 20% of the, say, the size of defy as a part of the actual data component of it.
And so they want to be early on the data.
So those are really the two things that I think motivate most participants within the network.
And then also some of them are already creating their own, like, for instance, reference rate.
I don't know how that differs from this.
Is that something where those products would be competitive with what, you know, like if they were, like if, let's say, because I know CME, so you have CBO on your network, but I know CME, I think has these Bitcoin reference rates.
And so is, you know, would working with you be competitive with their own product or is that complimentary or I don't even know how those really compare?
I think they're quite different.
So a single sourced reference point is going, especially one that's going to be mostly off.
chain is going to be a certain type of a market.
And what Pith does is it creates the references that are the Pith prices through the combination
of all these different data sources.
Now, there's a couple of ways that you can classify pretty much every Oracle network or solution.
And I can go through them now kind of very quickly.
There's basically four categories.
The first is push or pull.
The second is fast or slow.
The third is first party versus third party.
And then the final is sort of single source first, a blended source.
Okay.
So in the first one, push versus pull, in a push model, basically the price gets updated to the shared
state, to the ecosystem on a predetermined schedule.
Right.
So this is the way that chain link mostly operates.
and they are, for Ethereum, the schedule tends to be around every hour or 50 basis points.
And there's a sponsorship where the gas is going to be paid for by the nodes,
but usually it gets subsidized by someone else.
There are some conflicts with this.
So if you're like a profit maximizing mindset, what you would try and do is kind of degrade the product to the point
where it's just above the switching cost in order to kind of keep the sponsorship and update
as infrequently as possible. So there's some issues with this. And then the other element of it
is that if you wanted, if you as a user wanted something that was faster, you're sort of limited.
The pull model, which is what Pith has created, means that all the prices are updated to a single
repository at first. So Pith uses something called PithNet.
which is, as I mentioned, a version of Solana.
It's validated by the data providers,
there's 85 data providers that are validating it,
and it has all the sorts of transparency requirements
you'd expect from sort of a layer one.
And so you can kind of check the fidelity
and the providence of the aggregation.
And any one of those updates is able to be delivered
to any of the chains that Pith is connected to.
Pith is currently connected to 30 blockchains
and all 320 symbols that are currently live or distributed to any one of those three blockchains.
So that's the kind of the push-first pole.
Fast or slow, we sort of went over before.
And in order to be sort of the fastest, you need to be kind of inclusive.
You have to have this first-party network.
Or slow, you know, this T-WOP idea was, I think, kind of one of the things that people thought about as being a potential solution for a little while.
But we sort of kind of moved on from that.
first party, first third party. So in the third party model, it's kind of easier to set things up.
You can go to websites such as coin gecko and coin market cap, but you're limited to whatever is free.
And so crypto market data has, for the longest time, been mostly free. And if you looked at
the traditional market data, it was largely free for a long time. And then it became 20% of
the value of the revenues from large exchanges.
I would imagine something like that could happen in the future.
Coinbase has started charging market data a little over a year ago,
and we can expect that other exchanges do the same.
And then first party is kind of inclusive.
And then finally, single versus blended source is if you use a single source,
there's going to be some of those constraints that I mentioned with using Coinbase
versus a blended source, which you can just have contributors that add and create just a more robust price.
So there's another example of someone who also does an Oracle, which is Binance.
They have the Binance Oracle, but they're also a contributor to Pith.
And so there's some users that may only want Binance, and then there's others that would
want to use, you know, kind of finance as a contributor to Pith.
And so when you're vetting data providers to add to the network, what are the qualifications
that you're looking for?
We are looking for institutional-grade companies.
that have a strong reputation in so much where there is more at risk for them to lose in another
business than there is for them to gain by trying to manipulate the Pith price.
And so they're very much household names, all of these 85 data providers, and they're all
public.
So you can go on the website of pith.network slash publishers, and you can see all of the publishers
as a part of the network. At this stage of the network, it's very important for people to
derive the trust from these names, right? And so it would be a crazy thing for like Jane Street
to try and manipulate the price of something on Pith because the amount that they would end up
losing in terms of goodwill and on their name from kind of publicly doing this is going to be
much more than they could potentially gain from this. And so that is really the litmus test for whether
or not someone should be a data provider in the Pith at this time. In the future, when things move
to a decentralized permissionless setup, this will be determined by the kind of the governance token
holders of the network. And they'll be able to do that based on the quality of the proposed
data provider that gets added. And there'll be some staking and other kind of incentive mechanisms
in place to protect anyone from coming in that doesn't have the
best of intentions. So something that I find so impressive is that you've integrated 30 blockchains,
you know, as far as I understand, that's a technical feed. Just talk a little bit about what it is
to try to provide for so many different blockchains, just, yeah, on a integration on a technical level.
It's, it is a lot of work. And my co-founder in CTO, Jant, has lots of opinions on kind of the best
practices that he's learned by dealing with so many blockchains. Some of his insights that I think
he would mention is that dealing with EVM, you get lots of benefits of ancillary tooling.
So you get good, great wallets, great analytics, and, you know, kind of sample code that you can
use to develop applications. And so that's actually a really nice thing. Within Rust, so that'd be
Cosmos and Solana, there are great attributes, and those languages are not specific to
blockchains. There is also, you know, kind of a rich history of other application development there.
And so you also get very good libraries and resources. On Move languages, you end up having
some really cool developed things specific for blockchains, but you don't yet have the full robust
suite of tooling, so it sort of needs to be built out. And so each time we expand to a different
chain, we have to go through the process of learning how to operate on that chain. And it is very
difficult and humbling to do. But it is a core tenant to what we at Pith or at Duro would like to
kind of lead with. We want to make sure that we scale very quickly to as many blockchains and that as many
projects as possible, had the opportunity to use this data. And so far, it's been the case. So we're
on 30 blockchains. And on 10 of them, we have a market share of over 90%. This way that we think about
a scaling Pith to different blockchains has similarities to the way that Facebook grew. So initially,
it was just the social network for Harvard. And then it was a social network for Harvard and the rest of the Ivy
leagues and then it was U.S. universities and so on. And so Pith started out on Solana. And it grew to
over 90% of the TVL, TVS there that used an Oracle. And it really is never left. And it was
an advantageous time because this is where, you know, high throughput defy was really being
innovated. And so high throughput defy was first only possible in Solana. And that was the first place
that we saw on-chain order books or on-chain perp trading platforms. And now it's sort of table stakes.
High-throughput defy is a trend that is sort of unmissable. You've got high-throughput specialized
blockchains like Optus and Sue and Sui. And then you also have the modularity of layer twos for the EVM world.
arbitram or optimism.
And when we think about where we can kind of build up the most kind of critical mass of
users, we tend to find areas where this is a priority because Solana has done such a good
job in showing what was possible.
And now other chains are sort of running with that baton.
And that's kind of how we think about scaling.
As you mentioned, Pith has grown very rapidly in recent months.
So why is that? And how has it grown?
Yeah, it's been really remarkable. It's exceeded my expectations for sure.
So basically, Pith has gone cross-chain in January of this year. And on the PithNet side, we create a supply or Pith creates a supply of 320 symbols that are updating, call it two times a second.
So it's roughly speaking, 50 million aggregate prices.
Now, in January, 2,000 of those were being requested per day to be delivered.
And then in May, we saw a spike to about 150.
In June, we saw about double that.
And then in July, it was around 1.3 million per day.
And this month, so far, we've been seeing update requests for over 2 million.
So why is this?
The first kind of power user of Pith was synthetics on optimism when they upgraded to V2 with their new perpetual markets.
And what they realized was that having a low latency pole model Oracle would enable them to create an unprecedented trading experience.
So perpetual markets a year ago were not all that common.
within defy, and they've grown very, very quickly.
Part of the reason for the growth has been the lack of FTX and the kind of desire for
people to now have self-custody in their trading.
And so we've seen perpetuals on chain explode in terms of their growth.
Now, because Pith has been able to help synthetics in creating a kind of best-in-class trading experience,
I think that most of the competitors or people that would like to build something similar
have found Pith in similar capacities.
Today, if you were to do a derivative or take a derivative trade on a DECS,
there's a 50% chance that it's powered by Pith,
which is really remarkable growth given the short time frame with which we've kind of gone
multi-chain.
And how is Pith tip, like what are the range of ways that Pith is being used?
So like most or most protocols that require oracles, the two largest use cases are lending protocols
as well as kind of trading ones. But we also see things like structured products and other
kind of collateral management protocols that use Pith. But generally,
speaking, those are sort of the broad two categories. It's kind of trading and then and creating
collateral for lending. All right. So in a moment, we're going to talk about your news, but first
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Back to my conversation with Mike.
So as we mentioned earlier in the show, you are now launching this entity, Dura Labs.
Tell us how it will be working with the Pith Network.
And I believe there's a task coming up very soon, which you might want to talk about, this Perseus upgrade.
Absolutely.
So, yeah, we're very excited today to announce the launch of Dural Labs.
So Doral Labs is a company that has 20 people ranging from contributors that were at Jump previously
to alumni from Goldman Sachs or AWS, Chorus One, and many others.
And what we're looking to do is build out tooling and development for the network and really
try and accelerate the growth.
Now, the PIF network has had a few stages of big technology upgrades.
And so, as I mentioned before, Pith started its life cycle on Solana.
And that was in September of 2021.
And the idea was we needed to be on a layer one blockchain where there was going to be the characteristics
that could give people the necessary assumptions for trust.
And we wanted to make sure that you could use a Solana Block Explorer and look at the aggregation
back into the math of it and kind of really understand how it was working.
And so a layer one blockchain was important.
We always viewed that Pith needed to be on multiple chains.
And so because latency is such an important component characteristic of valuable data
and the type of data that Pith wants to provide, we needed to be on the blockchain with the
fastest intervals.
And so that ended up being Salana.
So the decision criteria was quite straightforward to begin with, given those constraints.
And we knew that we'd go cross-chain.
There were times where Solana became so popular and it became very congested.
There were NFT mints and landing Pith data on a congested Solana was very difficult.
And there was also down times from time to time.
And so we realized that we needed to create an application-specific chain.
And if we can do that and we can convert to this poll model, we would be able to scale very quickly to the number of symbols and number of data providers without having to have a new variable cost with how much we grow.
We could have the variable cost sort of be downstream.
And so this is our V2 and the emergence of PithNet.
And then we plugged in Pithnet to Wormhole and started growing cross chain about eight months ago.
And now we've grown to being on 30 different blockchains.
The Perseus upgrade is a continuation of the development in the Pithnet architecture that gets sent over Wormhole.
In such a way, we're now using Merkel trees for proofs.
And that allows for way more customizable delivery in the past.
we were relying on basically preset batches to be delivered to various blockchains,
but now they can be fully customizable with a single proof that anyone can use to validate the messages that were sent.
So this allows us to see a decrease of gas from anywhere from 40% up to 90%, depending upon how many symbols you're using.
we can increase the publishing frequency to other chains by a factor of about two.
And it allows us to really continue to scale and grow the network to make sure that it's
constantly the fastest and cheapest it could possibly be.
And one other aspect that I think is coming is a permissionless state with token-led governance.
What will that look like?
So right now, becoming a member or a node in the Pith network is managed by,
by the Pith Data Association.
And that eventually will get turned over
to governance holders.
And so that and other key features.
This is where Pith as an application
will have critical areas
such as which symbols to add
and which data providers do what
managed by the token holders.
So this is an important transition
in kind of the life cycle of Pith
as it continues to decentralize.
And in a decentralized state,
if you're going to add new data providers, how does that work? Maybe there's a proposal to,
you know, try to talk to this other centralized party and then are like certain people
delegated to represent the network that way? Or I'm just wondering how a decentralized entity
interfaces with all these centralized entities? Yeah. So it is an interesting point given that
the PIF network has probably more contributors than most decentralized protocols today.
It is going to be a little bit of a challenge, but I think this is something that we'll get
proposed in governance and a framework that will allow basically general participation.
There is a couple of good models out there where we see highly participatory governance
structures. Synthetics is a good example of one. And then there's kind of other models that are more like,
say AVE or compound. Synthetics uses sort of committees, AVE and compound are sort of just
like token holder boats. And so we'll allow the community to make proposals on how this will work.
But I think that it's an exciting place to kind of experiment.
And do you have a sense yet of how tokens will be distributed?
No, we haven't had any announcements around that yet.
Okay. Yeah, I'm sure probably the regulatory environment in the U.S. is
perhaps going to complicate that discussion. So tell us a little bit more about the plans for Dura Labs.
Will you contribute exclusively to Pith? Or do you think in the future you might extend services to other
projects? It's totally possible that we could extend services to other projects. But for the moment,
we are laser focused on really developing Pith network. We have a whole lot of embedded DNA with
contributing to Pith from myself and co-founders, Kieran, and Jan.
So, you know, that's where we think that we can add the most value.
But, you know, who knows, over time, I think that there's certainly within scope for us to be
able to do and work on other projects.
And so the focus for Duro Labs will be contributing tooling for, just tell us a little,
like you're servicing developers.
Is that it?
Exactly.
So it'll be continuing to advance the development of the network.
network. And so that could include additional upgrades like the Perseus one. It could also be helping
build out the network by working directly with data providers to go through the kind of governance
process. And so those sorts of things. The crypto markets are in a really interesting place right now.
The volumes are down. We have, you know, market makers that have been withdrawing. It looks like
finance is in a precarious state. I mean, there's just so many things that make it feel right now
like the crypto market is just changing generally. And I was curious for your thoughts on kind of where
it's going. And I feel like also you'll have an interesting perspective because you've seen
so much growth during a period when everything else has been kind of, you know, in this transitional
state. So yeah, where do you see the market's going? You're absolutely right. It is.
such a weird time. We've now seen Bitcoin kind of make new lows at a time where I think people
felt like we kind of bottomed out for a bit. And I think that's sucked a lot of the air out of the
room. So the interesting thing is we have not seen a kind of general retreat in terms of the number
of builders. So Pith has had three new applications per week integrate. And that to us tell
is that people are still building things. And that's where the optimist and me thinks that we've
got the potential for, you know, some real long-term value and for if the markets become
exciting for kind of the general public again, way better kind of toys than we used to have for
better tooling. You know, the meme is, you know, builders build in these bare markets.
We think it's the case. And I think that looking at Hith's growth in terms of all these metrics
that around usage underscores that.
And so it's maybe a happy story for us to try and take a rosy view on things.
But if we were to get things to turn around, I think in terms of just the market sentiment,
there's just way better tooling and applications possibilities than we had sort of in the
last couple of cycles.
And what vision do you have for once things kind of work in a sort of ideal state or in a
in a fully mature state, what will that world look like?
So the vision that we have for Pith is that all the world's financial data should go through Pith
to be brought onto blockchains in a way similar to all the world's music going through Spotify.
And what we hope to have happen is for the vision of DFI being what I understood as kind of
that paradigm shift when I first did the trade on Ether Delta.
It's a decentralized way for people to gain access to
capital markets. In all the other trends that, like major growth trends that have been enabled
by technology, things become cheaper, but they become much more broadly distributed.
And so I think that's one of the big benefits that we have within crypto and moreover,
within the potential of defy. We would expect to see sort of the kind of the general usage
costs go way down. But in order to compensate for that, the number of users go up.
incredibly, which will increase the benefits for people who just haven't had access to these
tools before. And that's what excites me. If you thought about places that didn't have
taxi drivers before and now you can go get an Uber anywhere, it's just a way better experience
for you as a user of the technology. I think that that is what's going to be enabled by crypto
when it's at its full kind of potential.
Right. This has been a fascinating discussion. Where can people learn more about you and your work?
So you can learn more about the Pith Network at Pith.network. You can learn about Doral Labs at
doraelabs.xy-Z. And you can find me on Twitter at MDOM Cahill. Perfect. Well, it's been a pleasure
having you on Unchained. Thanks so much, Laura. Thanks so much for joining us today to learn more about
Mike, the Pith Network, and Dural Labs. Check out the show notes for this episode. Unchained is produced by
me, Laura Shin, with help from Kevin Feud.
Hugh's, Matt Pilchard, Zach Seward, Juan Oranavich, Sam Shrevehram, Megan Gapest, Jenny Hogan,
Leandro Camino, Shashon, and Margaret Curia.
Thanks for listening.
