S2E1 - Better Blockchain Data: A Conversation with Noves CEO Ben Roy
Hello and welcome to another niche to Necessity podcast
hosted by myself. My name is Taylor Zork. Today we have a very special guest.
We have Ben Roy. He's the CEO and founder of Noves, which
is attempting to simplify blockchain data. They have a tool that
helps you kind of compile the data on chain and have it in a more
readable, kind of more human,
have it shared in a nice more human light. Right. So thank you for
joining us, Ben. And, yeah, could you please introduce yourself
and kind of tell me a little bit more about how you got into the
space? Sure, yeah, thanks. Happy to
be here. So I've been
hanging around the crypto space since 2012, actually. I had a
friend who was a super early adopter of bitcoin
and was at an event, and he gave this talk and was talking about it,
and everybody thought he sounded a little bit crazy. I think at the time it
was probably like single digit prices
for bitcoin. Wow. Extremely early.
But enough of it stuck that I looked into it and
got involved. And I kind of been in and out of it over the years
through the ups and the downs. It wasn't
until really the previous cycle, like Defi
Summer, I had sold a web hosting company that I've
been running and was kind of looking for something to do. And at the same
time, everything just started going kind of nuts, especially in the Ethereum
space, which as a software guy was a lot more
exciting. I mean, bitcoin is cool and all, but it was much more exciting
when people were actually building things
that did something that had some kind of functionality to them.
And it was just kind of like once I opened that door, it was like
a one way trip. Yeah, I
had the same kind of aha. Moment. Like I'd heard about bitcoin. I thought it
was cool, but I didn't really have that kind of big flick until I
heard about smart contracts, Ethereum and all that stuff. So very.
So on that same note, what led you to start Nobez,
and how would you describe the product or the service that you guys.
Know? There's a couple of things that become really obvious
as problems when you start in the space. As soon as
you get off of exchanges and you start actually
transacting on chains, smart contract chains,
a few things are like, readily apparent, right? One of them is
we are all placing a lot of blind trust.
You open up metamask, you start running transactions, and it
asks you to confirm a thing, but you have no idea what it
is that you're doing. Because there's just like a wall of
hexadecimal data that you're supposed to somehow make a good decision about.
And there's like this hump you have to get over, where you just realize
you just can't make a good decision there. You just kind of have to trust
that what you expect to be done is what you're
signing. And if you don't get past that, you're not going to make it very
far, because there's just no way. Right? But it was
obvious, especially coming from a software perspective, that this is not
how we want it to be. We need this to be better. We need to
be able to understand what it is that we're doing. And then the second thing,
and this you're intimately familiar with, is if you try
to take your data from anything that you were doing
and do something useful with that data in the real world,
it's a complete non starter, especially if you rewind
two years, two and a half years ago, when we were first doing this,
there's no way. We were talking about some of the trading activities. We were
talking to service providers about them, and they basically
said, well, look, if what you want to do is buy some tokens and hold
them on an exchange, we've got you covered. We can definitely handle that.
But being off on other chains, off of
Ethereum, especially not on Ethereum, but like in these other edgy chains,
there's no way to get your data, there's no real way to interpret the data,
especially at scale. And
I think that my co founder Juan and I are both
problem solvers. We're both real believers in
the promise of blockchain and the efficiencies and the
benefits, transparency that we can get from
adoption and
being in the space is just like necessary for us to solve these
problems for ourselves, but for other people. And
that's really, I guess the mission for
November is to deliver better data
that makes it easier for people to build other cool
things. Right? Like everybody's got to, everybody's got to build the
same basic boring
infrastructural pieces so that they can get
to whatever cool thing it is that they actually want to build.
We just want to shortcut that and let them build cool things
on top of our boring infrastructural stuff
so they can do their thing. Yeah,
that's awesome. Yeah. The allure of smart contracts and all that
stuff originally was like, thinking about decentralized applications. So
like a decentralized version of Spotify or things like
that. And to hear you talk about kind of making that process of looking at
the data simpler so that you can get to the actual core of what we're
here for, which is building these apps that kind of are self sustaining ecosystems
where we can give back to the actual creators behind the actual
artwork and less towards the infrastructure of it is a really cool
kind of way that you're moving towards. Yeah, nothing more frustrating than
getting data off of polygon scan or ether scan,
having to sort through each and every single different tab that has different columns on
each tab and try to get all the
data together.
As technical people, it seems doubly ridiculous
because it's like the tech is somehow creating it a
problem that's worse than it needs to be. Right. Like we're
delivering this to you in a software tool. Why don't we just make the software
tool give it to you the way that you would want the data, in a
way that you work with it, but we're putting up
roadblocks that we don't need. Yeah,
I totally agree. What do
you see as some of the potential trends for the upcoming bull market for how
on chain tools are being designed and adopted?
Well, I do see definitely in the last
second half of this year, and I think kind of building steam, there
is definite recognition that we need better
tools, we need better data, we need better
kind of blockchain adjacent things.
Earlier, if you go back a couple of years, it was just like anything that
would do the job was good enough, and then people are building other
things. And now I think you're seeing a lot more people. Like if you look
at the number of new block explorers that have been released
in the second half of this year compared to the three
years before that, it's picking up steam,
which I think is great because just accepting that the one tool
that does the thing is good enough. It's not how the rest of
the world works. And if we're going to get real progress here, I think we
need to continue to push the boundary on things
that we just sort of have been accepting are the way that they are.
Right. And then querying data on changes the
sexiest thing. So it's hard to prioritize that when you're in a bull
market. So it's kind of a blessing in
disguise when we get these lulls in the bear markets where
we can just build and focus on a thing that makes it more user friendly,
that improves the UI, the UX and all that, so that we can
bring more people on board. Because biggest challenge that I come against
with educating people in this space is that the mystification
that they have or that they've placed on digital assets
and really doesn't have to be that mystifying. Right. If you kind
of bring them back to traditional assets and try to compare the two,
you can draw conclusions a lot more easily. And so
having data on chain that's readable, easily kind of
legible to the layman as well, is going to help further adoption in the long
run as well. Yeah, definitely.
Your tool is helping people to read
data on chain, right. And understand it better. And so obviously,
I think that it's, it's, it's a very nice function for organization, especially
when you may have some people who are less literate in blockchain as well, to
be using a tool like this. So kind of where overall do you see your
tool fitting in the web? Three finance stack within an organization?
The answer to that depends a little bit on what the rest of the stack
looks like. We sit at the bottom of the
stack, right? So ideally, we don't want to have,
organizations have to go get raw data
from the chain, because with that raw data,
you have all of the data and information that has meaning
completely commingled with all of this low
level protocol kind of stuff. Right.
All the Ethereum stuff is mixed in with
your meaningful financial data. And when you get the
raw data, you have to have like an extraction
process to pull the meaning out of that
base level data. And that's a real mess.
And it's a problem that's very technical and not
super financial. You got to get that done before you can get to the financial
part of it. I think for
us, we'd be happy to provide that data
directly to organizations that want to work with it themselves. To be able
to separate that out and just give them the data that
has the meaning that they can work with. But also,
for people who use dedicated crypto,
blockchain type accounting or tax tools or things like that,
we're working to build integrations with those so that we can bring better
data into those places, because in general, those tools are solving the same
problem. Like I said in the beginning, everybody's got to solve that base level
problem. Since it's the only thing that we
do, we think we're pretty good at it. And
providing a better, cleaner data stream into those
softwares or directly into the hands of CFOs, if they're working with it
themselves, is just setting them up for success by having
a better starting point. I think a really good example of what you're
describing with kind of like having to extract the important stuff out of the data
is something like having the block number included in the transactional
data, where it's important for validating that this
transaction actually happened. On chain, it is important, it's not
unimportant data. But to someone in a finance stack, do they really need
to know what block it came in? Not really. I mean, there may be
instances where they do, but
it just shows which batch it was processed within on chain.
As long as you have the timestamp or whatever like that, and you can kind
of do your accrual accounting around that, you may not need
the block number or things like that. I think another good example
is smart contracts that have enough
time on chain for it to be very well known what they are. Like
the ETH USDC pool on Uniswap, for example.
Having that as a name for
that contract address rather than the string of
alphanumeric code is more helpful because it actually tells
me more about what's going on, rather than just being able, having to guess at
what that contract is or whatever. Yeah,
definitely. I think for us, we have a very broad
kind of definition of human friendly data,
which is how we would term our data, and a lot of people kind
of throw that around. But for us, it means not only
producing something like what you just said, like tags and labels
for things, for a summary sentence that says, hey, this is what
this transaction was, which makes it literally easy for a human
to read, but we also mean the
structure of the data underneath is easy to
work with, whether that's in a spreadsheet, or bringing it into a software
tool, or reviewing it in an audit or whatever. Having
well structured, normalized
data makes for people to get their
jobs done who have to actually work with that data. Yeah, if you're
manipulating the data like I was Mike's previous example with Polygon
scan or ether scanner or whatever, when you have to pull it from the different
tabs, each tab has a different structure of how the data is laid out. And
so when you have that kind of uniformity, you can then run those analytics on
that data more easily because the compiling of the data is already
done, it's already clean.
Cool. So what do you see as
the main challenges for the average crypto CFO out there?
Wow. Well, bloated question. I
know. I think it's
fair to say that the crypto CFOs
sort of are the dumping grounds for a lot of the
problems. And it stems from the fact that unlike
a lot of other industries, so much of this is
driven by developers, by technical
people who are free to just innovate
at the pace that they can write code and they can shove
code out the door. Right. Like there are no constraints on
so many people just pumping things out, which is great and which is
breeding. A. Lot of innovation
and a lot of new ideas and a lot of testing and trying things.
But none of those people have one thought for the poor
people who have to deal with the data
streams that come out of this stuff that they're putting
together. Right? Yeah. I
am not envious of people who are in that position.
So I think for sure one challenge is just
keeping up with what is being done
in terms of even knowing, because there are new primitives and
new ideas. And I think that, like you said earlier, a lot of
those have an analog in
the web two world or the old world or the accounting world or whatever you
want to call it. But sometimes when there's a new web
three idea, figuring out
how that maps to the older
ideas is a bit of a challenge.
And there's new things like that coming out all the time. Right. So having to
just kind of figure out how X or Y or Z thing
applies into the books or how you're doing
things seems like a huge problem.
Yeah. I think that ultimately, at the end of the day,
these are all ledgers, right? So they're inherently accounting tools, but they're being
built by developers who don't always have an accounting background. Right. So
therein lies the major challenge, I think, and the major disconnect that we've seen in
the industry thus far. Because like you're saying these are built by developers
and they're going at their own pace, and then we as accounting professionals
or people that are looking at the data afterwards have to then figure out how
do we apply old antiquated rules to this
new stuff that's being developed by people who don't always have an
accounting mindset at art. Right. Ultimately, it's a ledger.
So we can see what happened on chain, but I think that a good
example of this is reflection tokens. So
on, like binance smart chain, there's a lot of tokens that now
automatically, every transaction, there's a piece of that that gets sent to as a
tax and as maybe a fee to the team, and
you don't even see that on chain. You see updated in the wallet balances of
everyone that is a holder of that token, but you don't see that happening on
chain. So I had to do that with one client
recently, and it's just a nightmare because you're having to basically take snapshots
of the wallet balances and then true that up with off chain
transactions to update those balance to
get them to plug, basically. And so it's a good
example of like, okay, let's innovate. But we're not thinking at all about the
accounting consequences of this.
No. I also think that it's
just trying to, especially as we see the
explosion and expansion in chains, and now
that we're moving to, people are building app
specific chains and micro roll ups and things like
this as a CFO, trying to keep your
arms around more and more and more sources of
data is going to be an expanding
problem as we go, because these things are going to pop up. People are
building development kits to make it easier and faster to launch your own
microchains and things like this. And that's going to present an additional
challenge. And then knowing whether you have, the further out you get,
the less mainstream something is, the
less good the tooling around those things
is. And so your certainty that you have all of the data,
or the right data is going to go down
closer to the edges. But the thing is, the edges are going to be more
and more where we are soon. And it's ever expanding,
too, right? Yeah,
very cool. Yeah, I think that it's interesting. It's one
of the reasons that keeps the industry interesting as well, from a professional
standpoint. That's why I love working in it. It's a challenge, but I like the
challenge. And coming from cannabis industry, the cannabis
industry was a cool niche to be a part of, because there's a nice culture
around. I think there's a nice culture around
cannabis, but outside
of R1 sentence in the internal revenue
goal, there's not a lot to learn about with regards to cannabis, but that's what
I love about crypto, is that you could spend a lifetime learning
this stuff, and you'll continue to learn more, and you'll continue to
be presented with new challenges. Very cool.
So I'd love to get into kind of like what's also in your roadmap. What
are you guys looking to add as functionality for your
tools, and where do you see the project going in the
future? Yeah, so we've got a
lot of stuff, actually. One thing is
we're working hard to expand our perspective on
chains, or where our coverage is on chains. We're currently pushing
30 chains, but like I mentioned, we have this whole thing coming
where the number of chains is just going to get really big, really
fast. And so we're engineering hard
for how we can cover those and the way that our tool is
built. We designed from the ground up to
be able to run in a very kind of, like, just in time mode, as
opposed to data tools, which require that you start by
indexing everything and then you can go from there. We can kind of deploy and
just go live, which I think is going to be increasingly
valuable as time goes on here.
We're working on a product that we're calling a data room, which is
basically kind of sits above where our current data
tools are to help you organize
all of your data and make sure you have all of your data
together in one place, that it's at a very
basic level reconciled, and it's not like an accounting tool or anything like
that, but just to make sure that everything on the
chain ties so that, you know, you have all of the answers. So if there
were reflection tokens that you weren't accounting for, the
balance wouldn't match, so you wouldn't think there was missing, and you needed to
get. And that really puts your
data kind of in your control, so that your
organization's data or your customers data in one place that
you can bring wherever you want to go with it.
We're also ramping up our efforts to try to get involved
with chains early on, because when new chains
are coming out or when they're watching roll ups and
stuff like that, they all have the same basic problems that
they're dealing with on the data side, which is they need to be able to
get their data off for accounting, for their own accounting, and for their ecosystem
partners accounting. They need to put up a block explorer. They need to
have wallets with functionality. And so
we're working to try to get more involved with the chain so that
we can help them get a data stack set up that
starts them off in a great place instead of trying to solve those in sort
of like a lagging way. Yeah, because that's
a big challenge for new chains and is having reliable data,
and especially without the funding, to
have people build that again, obviously, it's an
incredible. You couldn't have blockbands without the explorers because you
need to be able to validate what's happening on chain. Right. But also,
again, it's often lower on the totem level because people don't find it as
sexy. It doesn't pump the price like an announcement
of a partnership or something like that, where people aren't going to
rave about how we got a new blockchain explorer, but it's
fundamental to how this stuff works. We're the
forgotten heroes, often the accountants and the data
compilers and the query software and all that stuff. But we're important,
I swear.
Great. Well, thank you so much for your time today. I would love to kind
of just finish off by asking, how can people learn more about you
or get in contact with you regarding nobes?
Yeah, so you can check our website out is
at noves fi.
You can find us on Twitter or LinkedIn.
I'm on there, obviously. You can ping me there or if you want
to shoot me an email. I'm Ben at novas Fi. I'm happy to hear
from you. Awesome. Well, thank you so much, Ben, and really great
to have you on the up. Yeah, thanks a lot. It was nice chatting with
you. And one last thing. We're using Nova's data for our
upcoming or we actually just launched the trip around the crypto verse, so we're
using the data that Nova's provides to help download the data off
chain and compile things. So check that course out as well and you'll get
a firsthand look at tool. So anyways, thanks again, Ben, and we'll see you
later. Bye.