Comprehensive revenue tracking is live at Revenue by Source: perps, spot, HIP-3, priority fees, auctions, and HyperEVM, every stream as a share of protocol revenue. Income Statement: every fee line down to operating net income and margin, after the HLP cut and the builder and deployer distributions, with HYPE removed vs emitted below the line. Daily Revenue: total protocol income every day since December 2024, stacked by source. Revenue Mix Over Time: how each source's share of monthly revenue has shifted, with HIP-3, spot, and HyperEVM gaining on native perps. Revenue by Market: the individual coins that generate the fees, ranked, counted separately across their perp, spot, and HIP-3 markets. Revenue by Asset Class: the fee mix month by month across majors, HYPE, alts, memes, HIP-3 real-world assets, and spot. Fee Concentration: the share of fees paid by the top 1%, 0.1%, and 10% of wallets, with a Lorenz curve and Gini across every fee-paying wallet. Revenue by Hour & Weekday: when fees land across the day and the week, and the busiest hour and day. Effective Take-Rate: the fee earned per dollar of volume in bps, gross and net, the difference being the builder and deployer take. Builder & Deployer Revenue: the fees routed out to front-ends and HIP-3 deployers, sized against the protocol revenue itself. HYPE Retired Daily: what the Assistance Fund bought back and removed from circulation each day, and the pace it is running. Buyback Cadence: the same buys in finer detail, every bucket down to 5-minute resolution, with the average price paid. Buyback Cost Basis: what the AF paid for its HYPE against where it trades now, and whether the buyback is in profit. Liquidation Fees: the share of revenue that comes from forced liquidations. Hyperliquid.

Compressor guide vanes are now going into the compressor split case. Some of these are instrumented with temperature and pressure sensors so we can measure exactly how the engine is performing.

Cospie 05 was so much fun, I had the chance to meet so many nice and supportive people. Thank you so much for coming to see and interact with me, I hope I gave you good memories and impression. See you again soon, i will work harder and be a better person next time we meet! ❤️❤️