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Where Is The Crypto Alpha Hiding This Cycle? — Transcript

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  1. 0:00Nothing said on Ford guidance is a
  2. 0:02recommendation to buy or sell any
  3. 0:03investments or products.
  4. 0:11All right, everybody. Super excited
  5. 0:12today to be joined by some of my
  6. 0:15favorite allocators in the industry here
  7. 0:17to talk a bit about where the alpha is
  8. 0:20in this cautiously optimistic but
  9. 0:22potentially early bull market that we
  10. 0:24have going on here. Um, yeah, why don't
  11. 0:26we go on the line here? Just feel free
  12. 0:27to introduce yourself. Um yeah, maybe
  13. 0:29mention your your style of fund and what
  14. 0:31you focus on and we'll start with you
  15. 0:32Arthur.
  16. 0:33>> Yeah. Uh I'm Arthur. I'm the founder and
  17. 0:35CEO of Defiance Capital. Uh we are
  18. 0:37crypto liquid funds that's been
  19. 0:38investing in the space since 2020. Uh
  20. 0:41classic liquid venture style. We buy the
  21. 0:44crypto of um the ad that we have a lot
  22. 0:47of promising potential. Um and yeah,
  23. 0:50stay in for the ride. Yep.
  24. 0:52>> Hi, I'm Rajie. I'm a GP of Framework
  25. 0:54Ventures. for SF-based investment firm
  26. 0:56um that mostly does uh early stage
  27. 0:59venture and some liquid token investing.
  28. 1:02>> Yeah, I'm smack uh I'm a partner at
  29. 1:04Compound. We are a thesis driven
  30. 1:07research ccentric investment firm
  31. 1:08typically early stage venture um and
  32. 1:11more recently spending time on uh
  33. 1:13publics in equities and and tokens as
  34. 1:16well. So generalist fund based in New
  35. 1:18York probably a third of the fund is
  36. 1:20cryptoreated.
  37. 1:22>> Awesome. Um yeah, why don't we get into
  38. 1:25where the emerging sectors are and
  39. 1:26what's interesting. Um obviously the
  40. 1:29first one is AI has obviously been the
  41. 1:32the you know a lot of excitement there
  42. 1:34over the last year and starting to see
  43. 1:36that shift towards excitement in crypto
  44. 1:38and obviously the the intersection of AI
  45. 1:40and crypto is there's there's a lot of
  46. 1:42interest and excitement there. So just
  47. 1:44love to hear a bit about uh that
  48. 1:46specific niche sector, how the three of
  49. 1:47you are are thinking about it, how
  50. 1:49you're thinking about the alpha there
  51. 1:50and uh the opportunity set. Arthur, why
  52. 1:53don't you go ahead?
  53. 1:54>> Yeah, so I think the initial phase, I
  54. 1:56think since 2023, um I think that was a
  55. 1:59bit of struggle. There was a lot of uh
  56. 2:01force fitting of a crypto and AI theme,
  57. 2:03but I think over the past one year, we
  58. 2:04start to see more and more things that
  59. 2:06make sense. Uh I think this is probably
  60. 2:08not a very well-known fact but uh the
  61. 2:12developer of the largest open-source uh
  62. 2:14AI agent framework uh Hermes is actually
  63. 2:17built by uh news now research that was
  64. 2:20actually kind of building something on a
  65. 2:22crypto AI side as well and I think that
  66. 2:23now they are like being considered a
  67. 2:25very legitimate AI team as well and so
  68. 2:28those are one of the example um we also
  69. 2:30saw like uh venise AI which is like
  70. 2:33essentially like a crypto version of
  71. 2:34open router where you can route uh
  72. 2:36inference on a uh with privacy focus uh
  73. 2:39through it and I think that that
  74. 2:40actually has been really taking off. I I
  75. 2:42think that obviously if you compare them
  76. 2:43to open router like um the the token
  77. 2:45span and inference is still not as big
  78. 2:47but the growth chart is still a hockey
  79. 2:49stick. So I think that this is some of
  80. 2:50the prime example that we are seeing
  81. 2:52right now. Yeah.
  82. 2:53>> Yeah. So I think there's a few things.
  83. 2:55Um one is that um AI is obviously uh
  84. 2:58transforming the way that companies
  85. 3:00operate. So, we're seeing sort of um uh
  86. 3:04operational leverage that uh we haven't
  87. 3:06seen previously sort of for early stage
  88. 3:08companies where they're able to make a
  89. 3:09lot more progress without needing to
  90. 3:11hire a lot more people um or potentially
  91. 3:13spend on on headcount. Um on the crypto
  92. 3:16side, I think in particular, we've been
  93. 3:18really excited about financing
  94. 3:19opportunities. We think um crypto is
  95. 3:21really good for capital formation um and
  96. 3:24uh sort of with the whole AI capex
  97. 3:26buildout, there's lots of different
  98. 3:27areas that that need to be financed. One
  99. 3:29of our portfolio companies, USDA, is
  100. 3:31doing like mid-market cluster financing.
  101. 3:33So, if you, you know, want to um if
  102. 3:36you're you're a promising startup or
  103. 3:37even a public company, um, and you want
  104. 3:39to buy, you know, $150 million worth of
  105. 3:42GPUs, um, you can go to them and
  106. 3:45potentially get more attractive rates
  107. 3:46with like less of a down payment
  108. 3:47relative to what you might see
  109. 3:49elsewhere.
  110. 3:50>> Yeah. I I So, we've been investing in
  111. 3:52traditional AI and ML since 2016. And so
  112. 3:56for us, one of the things that when we
  113. 3:58look at kind of crypto/ AI or or where
  114. 4:01that overlap is happening, a lot of it
  115. 4:03comes down to like the talent level of
  116. 4:06the builders there. And so I think
  117. 4:08what's kind of interesting is we've seen
  118. 4:11some of the overarching ideals of kind
  119. 4:15of crypto start to permeate more into
  120. 4:17these AI systems and this this AI kind
  121. 4:19of uh narrative, which is a lot around
  122. 4:21permissionlessness. Um, and so to me,
  123. 4:26I think we think that if crypto AI is
  124. 4:29going to compete on efficiency today,
  125. 4:31that's probably not the place that makes
  126. 4:33the most sense. Um, at least today. I
  127. 4:35mean, maybe that's not true in the
  128. 4:37future, but I think there's a lot of
  129. 4:39kind of underlying societal trends that
  130. 4:43um that make the things behind crypto
  131. 4:45more appealing. And that's kind of
  132. 4:47around coordination. I think some of the
  133. 4:50economic models could be different. And
  134. 4:51then again like permissionlessness
  135. 4:53um compared to the you know centralized
  136. 4:55AI and and some of the centralized
  137. 4:57frontier labs and what they're doing.
  138. 4:59>> Yeah. I think one thing I would like to
  139. 5:01add a little bit is like um crypto
  140. 5:04usually all the crypto AI project kind
  141. 5:06of enforce encryption and privacy by
  142. 5:09default and I think that's a big
  143. 5:11difference compared to all the AI
  144. 5:12project where they are really in a stage
  145. 5:14where they just do everything first and
  146. 5:16then don't really care about the
  147. 5:17privacy. I think that um the in the
  148. 5:20world in general I think is going to
  149. 5:21care more and more about this and I
  150. 5:23think that they will found they will
  151. 5:24find a solution that already exists in
  152. 5:26all the crypto AI project. Yeah.
  153. 5:29>> Um yeah I'm always hesitant when I hear
  154. 5:32people talk about this idea of uh you
  155. 5:35know crypto was never m you know it was
  156. 5:37never built for humans to utilize. you
  157. 5:39know, there's there's this I don't know
  158. 5:40if it's just like forcefitted in in
  159. 5:42retrospect, this idea of okay, crypto is
  160. 5:45actually going to be used by AI agents
  161. 5:46into the future. Curious how the three
  162. 5:48of you think about that premise. Is that
  163. 5:49just sort of, you know, hindsight bias
  164. 5:51or is there something there?
  165. 5:53I think it's so I've always thought like
  166. 5:55crypto is especially good at
  167. 5:57coordination and then kind of like
  168. 5:58economic incentives and as blockchains
  169. 6:01have got more efficient or more
  170. 6:03performant I think there's the argument
  171. 6:06I would say on the crypto AAI side is
  172. 6:08cool machine to machine transactions and
  173. 6:10communication
  174. 6:12um maybe centralized systems that you
  175. 6:15use a credit card and you can have
  176. 6:16agents talk to each other but there's
  177. 6:17some minimum floor to actually do those
  178. 6:20transactions and I think the argument
  179. 6:21for crypto AAI is okay, cool. Can we
  180. 6:25smush the actual cost of doing this
  181. 6:28towards a level that's more competitive
  182. 6:30that a centralized provider can't
  183. 6:32compete with? Um, I think that's TBD on
  184. 6:35if that is actually possible. But, um,
  185. 6:38to me it comes back to like coordination
  186. 6:40more so than anything else. Like that's
  187. 6:42especially what crypto has been
  188. 6:43historically good at. Uh, and then also
  189. 6:46like the global nature of the
  190. 6:47permissionlessness. I think people are
  191. 6:49like Arthur said much more concerned
  192. 6:51about privacy and kind of like where
  193. 6:54their data sits and who owns it. Uh and
  194. 6:57yeah, I think there's there's definitely
  195. 6:59an underlying trend of push back on
  196. 7:01these kind of frontier labs and AI like
  197. 7:03the traditional AI model. Um so I I do
  198. 7:06think there's like opportunity for
  199. 7:08crypto somewhere in in those wedges.
  200. 7:10>> This episode is brought to you by
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  213. 7:43>> Yeah. One idea we've been toying with
  214. 7:45recently is like sort of with all of
  215. 7:46these agent swarms that have been out
  216. 7:48there um the idea of like a distributed
  217. 7:52um permissionless ledger um becomes
  218. 7:55potentially very interesting. You can
  219. 7:57imagine um for for better or worse um
  220. 8:00you know if a bunch of agents need to
  221. 8:02communicate with each other and need to
  222. 8:03make sure that um their messages are are
  223. 8:06are durable or available um blockchains
  224. 8:09actually might make a lot of sense
  225. 8:10whether you're cramming it into um
  226. 8:12something uh with high data availability
  227. 8:14whether you're using persistent um file
  228. 8:16file storage um I think it would be a
  229. 8:18very interesting experiment for somebody
  230. 8:20to like crawl um arweave or filecoin and
  231. 8:23see if like uh any of these agent
  232. 8:24swarmms are already using it
  233. 8:28I think that I don't have a strong view
  234. 8:31on this but I do think that there's
  235. 8:33obviously a two-sided argument right so
  236. 8:35people say that oh AI agent are just
  237. 8:36going to be able to use all this like
  238. 8:38blockchain based payment and like you
  239. 8:40know transaction a lot more easily than
  240. 8:42human and then you obviously people say
  241. 8:44that you can also use the API what's the
  242. 8:45difference I do think that the
  243. 8:48permissionless nature means that it's
  244. 8:49easier for a rogue AI AD to exploit so
  245. 8:54it's it doesn't really ing the best
  246. 8:56scenario. But when you think about it,
  247. 8:58like if a AI agent go rogue, is it going
  248. 9:00to use a bank API or a fintech API is
  249. 9:03going to use crypto? I think it's
  250. 9:04definitely going to be crypto. So, um I
  251. 9:07think that
  252. 9:09there's just so much possibility. I
  253. 9:11think you cannot write it off, but I
  254. 9:12think I think that the permissionless
  255. 9:13nature combined with the AI like they're
  256. 9:15just going to be going to create a lot
  257. 9:17of like the um uh the the the possible
  258. 9:21um result that we are not able to
  259. 9:22foresee. But I think that there's
  260. 9:23definitely something that can be done
  261. 9:24here. But I think it's still too early
  262. 9:26to see. Yeah.
  263. 9:26>> Mhm.
  264. 9:27>> I think also just like one other point
  265. 9:28around this is if you think the future
  266. 9:30is going to be more
  267. 9:34local models or smaller models, not
  268. 9:37everything being done in these like
  269. 9:39massive kind of frontier models and more
  270. 9:41of the work or more of the inference
  271. 9:44gets done at distributed versions of
  272. 9:46that. you know, I don't whether or not
  273. 9:49there's value to be had there or
  274. 9:50captured from crypto companies or
  275. 9:53projects is I think an open question,
  276. 9:54but directionally
  277. 9:56it's I think it is again like in the
  278. 9:58ideals of some of the early kind of core
  279. 10:01beliefs of crypto around you know
  280. 10:04distributed networks and um privacy to
  281. 10:07some extent. Um so yeah, I mean TBD
  282. 10:12though the value capture is always like
  283. 10:13an open question with a lot of these
  284. 10:15things. Um, all right. I want to look
  285. 10:17into
  286. 10:18privacy, but through the lens of the
  287. 10:21modern crypto fund allocating towards it
  288. 10:23and using that as as a jumping off point
  289. 10:25because I mean the three of your funds
  290. 10:26kind of represent this idea of this uh
  291. 10:28this barbellness of you know you have
  292. 10:31the you have the venture book, the more
  293. 10:32illquid book and then you also are
  294. 10:34actively on the on the liquid side of
  295. 10:35things. And that's it. It's it it's
  296. 10:38quite an interesting, you know, when you
  297. 10:40just look at the form factor of what
  298. 10:42crypto funds have done well and and are
  299. 10:44still here and are still allocating, it
  300. 10:46seems like that barbell is a nice place
  301. 10:47to live at. Um, and then you put that
  302. 10:50into, you know, this privacy narrative
  303. 10:51has been something that's really taken
  304. 10:52hold recently. And what's interesting
  305. 10:54there is that a lot of the the
  306. 10:56opportunity set there are assets that
  307. 10:58anybody can go buy in the market. You
  308. 11:00know, like Zcash has been around for
  309. 11:02ages. um we've seen near near intense
  310. 11:04start to go off. Um there's obviously
  311. 11:07you know anything related to to the zero
  312. 11:09knowledge proof world of there. So you
  313. 11:11know there those are assets that you can
  314. 11:12go out there and buy in the market
  315. 11:13today. But allocating in size is is a
  316. 11:17difficult situation there compared to
  317. 11:19the allocation through a venture book
  318. 11:21where you can size into it very easily
  319. 11:23and not be as worried about liquidity.
  320. 11:25Obviously you have to worry about it at
  321. 11:26the liquidity event. But, uh, yeah,
  322. 11:28using that that that case study there,
  323. 11:30I'm curious how the three of you think
  324. 11:31about why we've ended up in this style
  325. 11:35that seems to be just, uh, you know, the
  326. 11:37best way to go in crypto these days.
  327. 11:39Start with you, Arthur.
  328. 11:40>> Yeah. Um, I think that this is, uh,
  329. 11:43never really been a big issue for if you
  330. 11:46have hell conviction. I think that, um,
  331. 11:48we have seen people being able to
  332. 11:50accumulate like I think a few percent of
  333. 11:53any protocol if they want over a long
  334. 11:55period of time. And I think that uh
  335. 11:56given the execution um um tools
  336. 12:00available, I don't think it's really an
  337. 12:02issue except if you are like more than
  338. 12:04500 million or a billion dollar and
  339. 12:05above. Um but that say I think that you
  340. 12:08know that's that's why I think
  341. 12:09historically a lot of people just like
  342. 12:10venture because you don't have to think
  343. 12:11about it that much and then once you
  344. 12:14like you know start to go into the
  345. 12:15execution part you start to compete the
  346. 12:17market makers and then it's a lot more
  347. 12:18tradingish focus. But I actually think
  348. 12:21that um for people who are because I
  349. 12:23think that ultimately for venture you
  350. 12:24are underwriting the volatility of the
  351. 12:26outcome. It's just that you do not see
  352. 12:28the volatility on a day-to-day basis. I
  353. 12:30think that just for a lot more um like
  354. 12:32the people who are allocating it on a
  355. 12:33liquid side, they just have to be
  356. 12:35willing to not pay attention to the
  357. 12:37day-to-day volatility as much uh while
  358. 12:39they are building the position. So I
  359. 12:41think that we basically budget for like
  360. 12:43uh 5 to 10% uh variance in terms of our
  361. 12:47final entry price when we are building
  362. 12:48any position. And it's also for exit as
  363. 12:50well. I think that sometimes like it's
  364. 12:52easiest to think that you're not going
  365. 12:53to time it too well um because you're
  366. 12:55not uh your age is not in a short-term
  367. 12:57trading the day-to-day market movement.
  368. 12:59So just budget yourself for like a 5 to
  369. 13:0110%. I think 10% is probably a bit too
  370. 13:02much. We usually want to get like
  371. 13:04between 5% variance. But yeah, I think
  372. 13:06that if you're okay to pay 5% stippages,
  373. 13:08you shouldn't really have an issue
  374. 13:10building a position. And that's that's
  375. 13:11generally been our approach.
  376. 13:14>> Yeah. Um I mean the way we look at
  377. 13:16things is like regardless of whether
  378. 13:18it's um a liquid asset or or sort of on
  379. 13:20the venture side, we are looking for
  380. 13:22venture style outcomes for for the
  381. 13:23things that we invest in. And that often
  382. 13:25means uh being willing to um hold an
  383. 13:28asset over a very long time horizon and
  384. 13:30sort of uh realize some of the
  385. 13:32volatility and and and hopefully
  386. 13:33convexity sort of sort of with the
  387. 13:35asset. Um I think you yeah like sizing
  388. 13:39into assets is is always a challenging
  389. 13:41thing especially if um the liquidity is
  390. 13:43not great. um um the team may or may not
  391. 13:46be willing to OTC. Um there's also a lot
  392. 13:50more crowding these days in the market
  393. 13:51where things become consensus a little
  394. 13:53bit more quickly and I think people or
  395. 13:56the funds and and market participants
  396. 13:58that that that are here are a bit more
  397. 14:00discerning around like what is working,
  398. 14:02what isn't, what actually like makes
  399. 14:03sense to invest in and what doesn't. So
  400. 14:06um the prices sort of when you get
  401. 14:07excited about something can move very
  402. 14:09quickly because it's very likely other
  403. 14:10people are doing sort of similar
  404. 14:11homework. So a lot of it is just being
  405. 14:13comfortable and understanding at least
  406. 14:15for us what the upside case looks like
  407. 14:16and um similar to Arthur like you know
  408. 14:19if there's some variance um uh sort of
  409. 14:21like in our entry price like we we are
  410. 14:23okay with with that.
  411. 14:25>> Yeah we've we've so
  412. 14:27historically um we were primarily only
  413. 14:31kind of private venture seed and preede.
  414. 14:33I think there was a point a couple years
  415. 14:35ago where we said um hey we're still
  416. 14:38excited about the asset class and the
  417. 14:40technology and we're not meeting enough
  418. 14:44founders that we could get to a yes on
  419. 14:46uh in terms of like early stage
  420. 14:47investing and so we said hey we should
  421. 14:49be spending more time on the liquid side
  422. 14:51mostly as a function of wanting exposure
  423. 14:54to the asset class um which again if
  424. 14:57you're kind of periodically only doing
  425. 15:00private preede and seed stage like maybe
  426. 15:04we only do four or five transactions a
  427. 15:06year and so it's like the asset class
  428. 15:09moves faster than that and so we shifted
  429. 15:11kind of the belief and I think part of
  430. 15:13this is um just like the overall market
  431. 15:16maturing as well is okay I think there's
  432. 15:18more probably investable assets today
  433. 15:20than there were five or 10 years ago and
  434. 15:24because of that I think shifting how you
  435. 15:26think about the asset class matters but
  436. 15:29on the sizing side we again like even
  437. 15:31when we think of structure For us, it
  438. 15:33was very much cool, what do we think is
  439. 15:34like the proper size that we could own
  440. 15:36assets to Reie's point where our view is
  441. 15:39these should be venture style returns
  442. 15:41whether they're liquid assets or not.
  443. 15:43And so like what is the size that we
  444. 15:45think we could reasonably deploy uh and
  445. 15:49generate those type of returns and and
  446. 15:51do it in a way that's not kind of beta
  447. 15:53because I think that is the other thing
  448. 15:54in crypto is like it can just turn into
  449. 15:56a levered beta asset class which is um
  450. 16:01yeah which is like kind of not as
  451. 16:03interesting to us. And so our view is
  452. 16:04like okay cool can we generate alpha
  453. 16:06still and like what's the size
  454. 16:08appropriate to do that? And a lot of it
  455. 16:09does come down to the volume of these
  456. 16:12things traded, like what assets we
  457. 16:13actually want to own. And then yeah, the
  458. 16:16VA is so high that I think there's a
  459. 16:18little bit of like, okay, if we want to
  460. 16:19build a position over time, if you have
  461. 16:21some patience, like you kind of have to
  462. 16:23believe that the volatility is going to
  463. 16:24work both ways. Um, but yeah, obviously
  464. 16:28sometimes you see these assets just
  465. 16:30trend super hard and
  466. 16:32>> you kind of have to be comfortable with
  467. 16:33that, I think.
  468. 16:34>> Yeah. Take a disciplined approach to
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  483. 17:13What do you guys what do you guys think
  484. 17:14about this? you know, Rejie, like what
  485. 17:16you're saying about this idea of
  486. 17:18dispersion leads to crowding outness
  487. 17:20really quickly because there's only a
  488. 17:22handful of assets that, you know,
  489. 17:23suddenly everybody latches on to because
  490. 17:25there's just a plethora of, uh, assets
  491. 17:28out there that, uh, you know, the
  492. 17:30fundamentals aren't as strong. Um, so
  493. 17:33intuitively, you would think dispersion
  494. 17:35is great for active managers because,
  495. 17:37you know, as long as you're selective
  496. 17:38and in the right assets, um, you know,
  497. 17:40you can go to your LPS and say like,
  498. 17:42look at this alpha that we're
  499. 17:43generating. Um, you know, it's not
  500. 17:45necessarily just levered beta where
  501. 17:46we're just, you know, everything's going
  502. 17:48up at the same time. But to your point,
  503. 17:49the crowding out of it can also be
  504. 17:51difficult to manage. I'm curious, it
  505. 17:53feels like this is the first bull cycle
  506. 17:54that we're going into where there is
  507. 17:56significantly more dispersion. It's not
  508. 17:58just everything all up, all down. How do
  509. 18:00how are the three of you guys managing
  510. 18:01that?
  511. 18:03>> Yeah, I can start. Um, I think some of
  512. 18:06it is like, you know, time timing timing
  513. 18:08does matter. If everybody has very
  514. 18:10similar ideas, sort of how you time it
  515. 18:11uh probably matters a little bit. Um uh
  516. 18:14timing comes in a bunch of forms. It
  517. 18:16comes around like how you think about
  518. 18:17entry. It comes about like you know what
  519. 18:19your time horizon kind of looks like.
  520. 18:20There's things that might look really
  521. 18:22attractive and end up being really
  522. 18:24consensus and crowded over a short
  523. 18:26period of time but over a longer period
  524. 18:27of time maybe are are a little bit less
  525. 18:29consensus. So I think that's sort of um
  526. 18:32some of how we have looked at it. Um
  527. 18:35uh yeah I think I think we're still uh
  528. 18:39sort of seeing how all this is going to
  529. 18:40evolve. that feels very different than
  530. 18:42um previous cycles. Um and there's still
  531. 18:44a lot to learn there.
  532. 18:47>> Yeah. I mean I I would say like it
  533. 18:50shouldn't be easy. I think that's like
  534. 18:52something that in the past for crypto it
  535. 18:53was kind of like
  536. 18:55not a high level of sophistication, not
  537. 18:58um there was like almost this influx of
  538. 19:00capital and so there was a period where
  539. 19:02it was kind of easy. you could just
  540. 19:03throw a dart and no matter what you
  541. 19:04bought it went up and I think the
  542. 19:07maturation is a little bit of okay cool
  543. 19:09it's becoming more difficult to get to
  544. 19:12assets early um size them accordingly
  545. 19:17mostly a little bit of that is
  546. 19:18sophistication but I I think like you
  547. 19:22have to you have to in my view part of
  548. 19:24it is okay do we believe like what are
  549. 19:27the highle things we believe the future
  550. 19:29looks like 12 months from now 18 months
  551. 19:31from now 24 months from now. And I think
  552. 19:33crypto especially like it almost seems
  553. 19:36to happen quicker. So like you could
  554. 19:38have a view of hey we want to own this
  555. 19:39asset class and here's probably where we
  556. 19:41would like to exit it and that cycle is
  557. 19:45much quicker than kind of public
  558. 19:46equities or or other asset classes. So
  559. 19:48like all of the moves can happen in 3
  560. 19:51months or 6 months and you have to be
  561. 19:52comfortable saying okay is this just
  562. 19:56crowding out? is this like is the thing
  563. 19:58we believe happening quicker or are more
  564. 20:01people starting to believe it and so I
  565. 20:02think a little bit of it is you know
  566. 20:04what would we need to see once we've
  567. 20:06entered the position of like when should
  568. 20:09we be exiting so I I actually think this
  569. 20:11is the best uh time to um for us in the
  570. 20:15recent years because you know um for
  571. 20:19active managers we want uh dispersion
  572. 20:21right and this is what we are getting
  573. 20:22paid for right so I think that this is
  574. 20:24also a year that where I think on the
  575. 20:25street I
  576. 20:27probably more than 80% of the liquid
  577. 20:29funds I know hedge fun liquid funds I
  578. 20:31know on crypto they outperform Bitcoin
  579. 20:33ETH and so because I think year to date
  580. 20:35they are still down and I think year to
  581. 20:37date most of the crypto funds I know is
  582. 20:38like up like from 20 to 100% um and and
  583. 20:43this is also a good way for us to
  584. 20:44justify why you know you should get an
  585. 20:47expert to manage the the book for you
  586. 20:49and I think that yeah this is a
  587. 20:51extremely healthy phenomenon and I think
  588. 20:52that it's also kind of um how fast the
  589. 20:56market have rewarded like the good
  590. 20:57fundamentals. I think that um you know
  591. 20:59previously there was a little bit of a
  592. 21:01more of like a order book positioning
  593. 21:04driven like oh like hyperlquid it was
  594. 21:05been a consensus name for more than a
  595. 21:07year and previously when the name become
  596. 21:09very consensus in crypto it tend to
  597. 21:12start you know not doing well and peak
  598. 21:14but this is like I think and also
  599. 21:16obviously depends on the market cap but
  600. 21:18hype has been like a huge market cap
  601. 21:20coin for like quite a while and and is
  602. 21:22very consensus and yet it still continue
  603. 21:24to go up and outperform so I think
  604. 21:26that's actually very healthy like it's
  605. 21:27Just because u an asset is consensus um
  606. 21:30amount of smart money doesn't mean it
  607. 21:32can't outperform anymore and as long as
  608. 21:35it has great fundamentals great growth
  609. 21:36ahead. So I think this is something that
  610. 21:38is is kind of like what I've dreamed
  611. 21:40about since like four five years ago and
  612. 21:43finally playing out. Obviously that we
  613. 21:44wish there's a lot more project like
  614. 21:45hyperlquick that we can invest in but I
  615. 21:47think that this is like a incredibly
  616. 21:50encouraging. I don't think that the
  617. 21:51market is like very institutional yet um
  618. 21:53but I think that you do get more
  619. 21:55sophistication um in terms of the market
  620. 21:58participants. I think that you're also
  621. 21:59getting some bifocation where um a lot
  622. 22:01of the retail they they are not happy
  623. 22:03with like making like let's say 50 to
  624. 22:06200% in a year anymore. They really want
  625. 22:08their 10 20x and they know that they
  626. 22:10can't get it in all this so called
  627. 22:12midcap like a smart money coin. They all
  628. 22:14go down to the extreme left curve end
  629. 22:16which is all the meme coin stuff like
  630. 22:18they paying like 100k to like 2
  631. 22:21three million or like 50 million market
  632. 22:22cap. um when all the you know people
  633. 22:25with size that don't really bother to
  634. 22:27play this game we all just like
  635. 22:28congregate to like either you do the
  636. 22:30majors or you do the midcap good
  637. 22:32fundamentals so I think um you you get a
  638. 22:34lot more um I think that like consensus
  639. 22:37in terms of smart money and I think
  640. 22:39that's been very healthy and I would
  641. 22:40love for this to continue to play out I
  642. 22:42would love to outperform Bitcoin every
  643. 22:44year and that's how I will be able to
  644. 22:45like you know like raise more money and
  645. 22:48etc. Yeah, I I would say like one other
  646. 22:50point is I I think you have to also at
  647. 22:54least try to think about or model out
  648. 22:56who like who will be the marginal buyer
  649. 22:59of the things that I'm buying today.
  650. 23:01>> Um which again to Rajie's point like if
  651. 23:04you're looking at something and you're
  652. 23:05seeing oh the fundamentals are
  653. 23:07inflecting and um you know this thing
  654. 23:10seems good to me. I think there is like
  655. 23:13the the the speed at which that idea
  656. 23:16usually compresses is much quicker today
  657. 23:18than it was in the past where if you
  658. 23:20you're seeing something that you think
  659. 23:22hey the fundamentals are lining up I
  660. 23:24think there's general trends that this
  661. 23:25will benefit from over time like that I
  662. 23:29think you do have to have an idea of
  663. 23:30like hey let me own some of this thing
  664. 23:32and then do more work on it and size
  665. 23:33into this over time because it just
  666. 23:35happens way quicker than it used to. I I
  667. 23:37think one one last point I want to add
  668. 23:39is like
  669. 23:40for both uh crypto and probably uh
  670. 23:43equity this is probably the golden age
  671. 23:44of a longshot strategy. Yeah, I think
  672. 23:46that you usually historically when you
  673. 23:48do long shot you usually expect to make
  674. 23:50money on one side of your trade like
  675. 23:51your other side is just like you know
  676. 23:52you want to be delta neutral. Uh but you
  677. 23:55know you are usually going to lose money
  678. 23:56on like on a short side if you're like
  679. 23:58in a bull market but I think this year
  680. 24:01in both agree and crypto I think you can
  681. 24:02actually make money both on a long leg
  682. 24:04and a short leg because there are some
  683. 24:05project are really not making it and
  684. 24:07like getting close to shutting down and
  685. 24:09you're shorting those you actually going
  686. 24:10to keep getting like a 50% down every 6
  687. 24:13months and then yeah you can actually
  688. 24:14keep shorting obviously you need to
  689. 24:15close the trade and reshot it again. Um
  690. 24:18yeah, but or like you can even do a
  691. 24:20cross like industry kind of like like
  692. 24:22your long equity, short crypto or your
  693. 24:24long crypto, short equity and a lot of
  694. 24:26these like fundamental thesis really
  695. 24:28playing out and they they just keep
  696. 24:29trend all the way up like like nobody
  697. 24:31expected the treasury to like keep
  698. 24:33dropping like people like if you look at
  699. 24:35technical is so over. So you
  700. 24:37should like stop. Nope. It just keep
  701. 24:39going down, keep going down like the
  702. 24:41fundamental driver just so strong it
  703. 24:43kind of overpower all the positioning
  704. 24:45driven like a factors and it's kind of
  705. 24:48like for all this like a fundamental guy
  706. 24:50and we were surprised how well the
  707. 24:52fundamental driver has been playing out
  708. 24:54to drive the price action as well.
  709. 24:56>> Do you guys think that Bitcoin is still
  710. 24:58the correct benchmark amidst this? I
  711. 25:00mean you can just see so much sectoral
  712. 25:02dispersion. I always wonder like
  713. 25:04obviously it's it's been the benchmark
  714. 25:05in terms of alpha now performance but is
  715. 25:08that is that still correct?
  716. 25:11>> It is still the best benchmark we have
  717. 25:13uh for most of the LP because they still
  718. 25:15see this as the same space. You can
  719. 25:17obviously try to create other index like
  720. 25:18the CCI30 or the Bloomberg crypto index
  721. 25:21all the thing but I don't think they
  722. 25:23just gain the popularity and also like
  723. 25:24for uh allocator that do size this is
  724. 25:28still the best benchmark they have. So I
  725. 25:29think for better or worse, I think
  726. 25:31>> it's still the benchmark that most
  727. 25:33people care about the most. I mean,
  728. 25:34nobody's going to be happy when and also
  729. 25:36absolute returns. Both absolute returns
  730. 25:38and Bitcoin out performance. Yeah,
  731. 25:39that's the only two thing people care
  732. 25:40about in my view.
  733. 25:42>> What do you guys think?
  734. 25:43>> Yeah, I don't have a super strong view.
  735. 25:44Um, I think like benchmarking relative
  736. 25:47to peers is also like a pretty
  737. 25:48reasonable thing. Um, and you know,
  738. 25:51smart uh LPS I think do that in a pretty
  739. 25:54uh systematic fashion.
  740. 25:56>> Yeah, I think that's probably true. like
  741. 25:59it's hard to especially in the age of
  742. 26:01ETFs where it's hey if I'm an LP and I
  743. 26:03can go buy IBIT for example like why why
  744. 26:07was the point of allocating to um like a
  745. 26:11fund that doesn't outperform that so I
  746. 26:13think it's like a b a bare minimum kind
  747. 26:15of baseline I think um and then I don't
  748. 26:17know you can get into
  749. 26:20is crypto becoming like is it becoming
  750. 26:23less of its own thing and so you should
  751. 26:24look at some of the other kind of deep
  752. 26:27tech style assets that trade in public
  753. 26:29equities or technology indices or things
  754. 26:31like that. But yeah, that that's kind of
  755. 26:32like where I sit today.
  756. 26:34>> Um, last topic here as we wrap up, but
  757. 26:37speaking specific to the venture side of
  758. 26:39things, obviously most the concentration
  759. 26:41of most checks over the last, you know,
  760. 26:43six years or so have been written in the
  761. 26:45in the seed stage of things and, you
  762. 26:47know, that's had some success and it's
  763. 26:48also hasn't. Um and now you know the
  764. 26:52phase that the industry is at it's
  765. 26:55becoming quite clear
  766. 26:57what has product market fit what are the
  767. 26:59key use cases and I feel like the next
  768. 27:01question to solve there is okay do we do
  769. 27:03we go start to fund the later stages do
  770. 27:06we focus more on the growth side versus
  771. 27:07the seed stage side um and you know some
  772. 27:10of these existing protocols and
  773. 27:12companies that have shown product market
  774. 27:13fit do you how do you guys think about
  775. 27:16the the concentration between seed stage
  776. 27:18versus growth investing for the for the
  777. 27:20next couple years here. Um Arthur, you
  778. 27:23want to start?
  779. 27:25>> Um now I'm not a venture guy. So uh but
  780. 27:28I think the observation I have is there
  781. 27:30has been a extreme overlap
  782. 27:33>> among the latest stage deals uh both in
  783. 27:35equity and I think to a big extent
  784. 27:37crypto because there's just so little
  785. 27:39late stage deals happening and obviously
  786. 27:41you have a huge amount most people can
  787. 27:44get the allocation. So I think there's
  788. 27:46kind of a lot of overlap among all the
  789. 27:47late stage deals and I kind I think it's
  790. 27:49also usually they did quite well and you
  791. 27:51kind of need to get in. So yeah, I think
  792. 27:54that's just what it is right now. I
  793. 27:55think Cstage is
  794. 27:56>> a lot of opportunity right now because
  795. 27:58everyone got so burned and I think the
  796. 28:00founder quality is still still hard to
  797. 28:02come by especially now with the AI
  798. 28:03taking away a lot of the good quality
  799. 28:05founders. is is you're really
  800. 28:07underwriting a lot of risk. But imagine
  801. 28:09like you did like uh like and but the
  802. 28:12good thing about crypto I think it's
  803. 28:13still kind of similar with AI is like
  804. 28:15you can get the 50x uplift pretty fast.
  805. 28:19I think you can get it in one to two
  806. 28:20year if you done the C stage right. Um I
  807. 28:23think really it's only crypto and AI
  808. 28:25probably a bit of like a space you can
  809. 28:27get this kind of uplift. I don't know
  810. 28:28whether any other industry can get like
  811. 28:30a 50x um in like two years. Yeah. would
  812. 28:33would you want would would you want
  813. 28:34actually the universe to get larger and
  814. 28:36like to from the token side because
  815. 28:38presumably if there's more seed and
  816. 28:40preede stuff getting done that then
  817. 28:41ultimately lead to tokens like is that
  818. 28:43as like a liquid only fund is that like
  819. 28:46better for you because the universe
  820. 28:48expand%
  821. 28:50we would love to have a more universe
  822. 28:51like I think the ideal portfolio size
  823. 28:53for us is like 10 to 20 names but
  824. 28:55usually we are just restricted to five
  825. 28:56to 10 names which is extremely
  826. 28:58concentrated for like a hedge fund
  827. 29:00perspective. Yeah.
  828. 29:01>> Yeah. My perspective is that like at the
  829. 29:03early stages the outlier uh the number
  830. 29:06of outlier founders has not dramatically
  831. 29:09decreased. Um there are a lot fewer seed
  832. 29:13stage founders than there were 2 or 3
  833. 29:15years ago partially cuz I think there's
  834. 29:17been a lot of right sizing sort of at
  835. 29:19the seed stage relative to the capital
  836. 29:21that was being deployed in the past
  837. 29:23>> but I still think that like the number
  838. 29:24of in extremely high quality founders at
  839. 29:26early stages is still there. um it seems
  840. 29:29like a lot of the growth stage companies
  841. 29:32um uh have traction that's like quite
  842. 29:34durable versus like needing to raise
  843. 29:35purely off narratives which I think was
  844. 29:37like a little bit different in the past.
  845. 29:39So my hunch is like there's probably
  846. 29:41more opportunity for people to do seed
  847. 29:43stage stuff. My guess is that as a lot
  848. 29:45of these growth stage companies continue
  849. 29:46to compound, there will probably be um
  850. 29:49there will be uh additional market
  851. 29:51participants maybe who aren't even
  852. 29:52really in crypto and and maybe more um
  853. 29:55more of the growth generalist funds sort
  854. 29:56of as we've seen come in and sort of uh
  855. 29:59allocate to some of these companies.
  856. 30:00>> Yeah, for us like we
  857. 30:05are not like we think we're best at
  858. 30:07preede and seed stage and so we're not
  859. 30:08going to kind of scope creep on our side
  860. 30:10on like the private side. for us it's
  861. 30:13stick to preede and seed and then um
  862. 30:15publiclix and everything between is kind
  863. 30:17of like we don't think that's where we
  864. 30:19should be competing um and so I have
  865. 30:22less of a view there I think that there
  866. 30:24is a world where some of the things that
  867. 30:26have been tried in the past in crypto
  868. 30:28and have largely been written off as oh
  869. 30:30that sector doesn't work or that is kind
  870. 30:33of like a broken thing that that won't
  871. 30:35work um I'm maybe
  872. 30:38naively optimistic that actually you
  873. 30:40know there's there's a world in which
  874. 30:42that was not the right time to try some
  875. 30:43of these things 3, four, 5 years ago.
  876. 30:46Um, and so for us, yeah, preed and seed
  877. 30:48stage is where we're going to continue
  878. 30:50to sit. And I do think there are
  879. 30:51versions of companies that have probably
  880. 30:53been tried in the past that could work
  881. 30:55in the future given like the right
  882. 30:57founder. Again, I think as crypto
  883. 30:58becomes less um less of like uh I would
  884. 31:03say a lower status industry compared to
  885. 31:07AI or some of the other kind of
  886. 31:09technology sectors. I think there's one
  887. 31:11point I would like to ask like do you
  888. 31:12think the capital intensity of uh early
  889. 31:15stage in crypto have came down due to AI
  890. 31:18and you know because you can kind of
  891. 31:19like you need less engineer and do you
  892. 31:21think like you're going to see like a
  893. 31:22billion dollar AI like a billion dollar
  894. 31:25startup
  895. 31:26>> with a solo entrepreneur like in crypto
  896. 31:28>> I think it's yeah I think it's
  897. 31:30definitely happened like we've even seen
  898. 31:31portfolio companies who are like we can
  899. 31:33actually operate with less employees
  900. 31:35because
  901. 31:36>> team members are becoming much more AI
  902. 31:38native and and using these tools and
  903. 31:40they're saying the team members who are
  904. 31:41able to do this and then leverage it are
  905. 31:43actually like those are the people we
  906. 31:46keep around and everybody else who's
  907. 31:47like slow to adopt or who can't really
  908. 31:49wrap their head around it. It's like we
  909. 31:50actually don't like they're not net ad
  910. 31:52additive.
  911. 31:53>> So so for let's say for a team who
  912. 31:54raised like 5 to 10 million early stage
  913. 31:56where do they spend the money on these
  914. 31:57days compute or like you know marketing
  915. 31:59budget?
  916. 32:00>> I mean it depends on the project right.
  917. 32:03Um, I think historically a huge chunk of
  918. 32:05that has gone to headcount. A meaningful
  919. 32:07chunk of that headcount is probably
  920. 32:09being reallocated to compute or API
  921. 32:12credits and stuff like that. Um, for
  922. 32:14something that needs to do a lot of
  923. 32:16marketing, I think that's still there
  924. 32:17for um, for people that need to do a lot
  925. 32:19of enterprise sales, you still do need
  926. 32:21to hire people. I think uh, people are
  927. 32:23still typically buying from people even
  928. 32:25if you're using a bunch of tools in the
  929. 32:26process. But that 10 million I think
  930. 32:28gets you a lot further. Um, unless you
  931. 32:30are training automodels, in which case
  932. 32:32like it does not get you very far at
  933. 32:34all.
  934. 32:34>> Yeah.
  935. 32:34>> Yeah.
  936. 32:35>> Yeah.
  937. 32:35>> All right, that's all the time we had.
  938. 32:37Uh, thank you all for joining. That half
  939. 32:38an hour flew by. I think we're going to
  940. 32:40break for lunch now and then we'll be uh
  941. 32:41back at it in a little bit. So, yeah.
  942. 32:43Thanks. Thanks guys for joining. That
  943. 32:44was great.
  944. 32:45>> Thank you. Thanks.

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