I mean, just, like, at least holding your head above it. Yeah, well, look, in our industry, every broker-dealer's financial records are public, so you can go look up our balance sheet. It's not hard to find. But we still use cash on balance sheet for R&D investments to keep building more tools. But you can imagine if we backed off from our aggressive building of products and features, yeah, it wouldn't be a hard business to run standalone. loan for decades. But yeah, there's a serious cost to start a custodian. So beyond the cost of building all of the technology, there's also the regulatory requirements and the capital requirements. So when you run a brokerage business, every time you add a new client and new dollars to your platform, you have to have reserve capital on your broker-dealer. And so there's no shortcut. This is something where I tell people every now and again, And they'll ask me, like, hey, you know, what would it take for someone to compete? And I say, well, it'll take about five years and at least $250 million just to have a shot, just to have any shot in the dark of making it. That assumes, of course, you do it right and what you build is somehow substantially better than anything else in the market. And you can get enough clients to run it on. But just to give yourself a shot, it's, like, again, non-trivial. And just to pick up, because you made a comment about these sort of hyperscalers building these foundation models. I'm not so sure that when we look back in 20 years and say, okay, well, or maybe 30 years, 40 years, 50 years, but some amount of time in the future, we look back at what were the most impactful companies that made the biggest difference on society. I'm not so sure those are the ones that we'll be talking about. I think it'll be businesses like Altruist that we'll be talking about and going, wow, like they have managed to unlock trillions of dollars for consumers. And that is not something that any of us can be convinced is possible with foundation models yet. At this point, all they are are money guzzling machines that have yet to figure out how to turn, you know, sort of inference into profits. In other words, their costs are higher than what they're reselling their products and services for. I'm as big a fan and believer and user of AI products as anybody. But when we really start measuring impact, like what changes the world, you know, that's very possible, but there's nothing proven about it. What we're doing is very proven. Like you can very objectively say, if we give every single client, I don't know, 1% back in economic advantage, and you scale that across trillions of dollars for decades, you can start measuring your impact in hundreds of billions of dollars. That's, to me, more than like a small startup. Like, that's incredibly ambitious, but it's, like, incredibly good for humanity. I hope more people do this type of stuff.