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Jay Yu ๐ŸŸ
@0xfishylosopher
investigating the frontier @panteracapital | prev. @StanfordCrypto @StanfordPHIL
1.3K Following    7.9K Followers
2026 is the first year agents are entering the real world economy. @orthogonal_sh is the gateway between those agents and the rest of the Internet - allowing them to discover, access, and pay for any API service. Come listen to the latest episode of our podcast to learn more!
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Even as broader crypto enters a sleepy summer, our team has been shipping and bringing TradFi + DeFi capital markets closer together. Just in July: - We've launched the "S&P Pantera Digital Asset Index" alongside @SPGlobal to create up-to-date baskets for protocol tokens, with data from @artemis - Our Fund V is officially on the @MorganStanley alternative investments platform - Had the wonderful @stutireal join us on the investment team - Announced investments across stablecoin FX @openfx_, agentic commerce @orthogonal_sh, and next-gen prediction markets @TurboFlow_xyz Could not be more proud of this team ๐Ÿ’ช๐Ÿ’ช
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Short term up-down markets are one of the key volume drivers today on Polymarket and other prediction market problems. @0xallyzach @sui414 on our research team have done a wonderful job breaking down price volatility patterns in 5min BTC markets + what this means
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Lots of buzz recently on compute capital markets. But what might these markets actually look like? A few thoughts on its market structure from first principles: > First, almost everyone agrees that compute has a nonfungibility quality. It behaves closer to electricity (temporal, nonfungible) than corn, oil, and gold. > This nonfungibility creates several downstream corollaries: (1) Reservations/capacity forwards are almost always bilateral OTC trades on particular SKUs and params (I want X hours of H200s in us-east-1 running Y model at 12pm on 8/1/2026) (2) There is no transparent "one-size-fits-all" pricing model for "generic H200s" like there is for corn/oil/gold, hence no proper futures market used for hedging (3) Most of the teams building in the space (eg. Silicon Data, Ornn, Compute Desk) are focusing on "standardization" indices/benchmarks, in preparation to create a liquid futures market. > The short-side of compute markets fundamentally comes from neoclouds (Coreweave, Nebius, Lambda) and indepedent data centers (people with GPUs), while the long-side of compute markets comes from inference dev platforms (Fireworks, Modal, Baseten) and the agentic applayer (Cursor, Perplexity, Suno, Rime) that do not run datacenter fleets > But these principals will never directly trade on general compute exchanges (eg. an H200 basket) because they require specific SKUs. Instead, they'll make their reservations/capacity forwards for specific SKUs with OTC dealers. > These dealers in turn can "hedge" particular SKUs with exposure to the underlying generalized basket exchanges. So the folks actually using compute futures exchanges are going to be MMs/OTC desks/compute dealers on both sides. This creates an endgame market structure like below:
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