Invest1 distinct publisher2 min readPublished
Hyperliquid's first L2 arrives with a 400x gas spike as its evidence and a 15-month low in spot share as its market. The awkward part is Kinetiq's own contraction.
The Investor · Invest desk
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Small blocks on HyperEVM carry 3M gas and arrive every second, while the 30M-gas blocks that contract deployment and other heavy computation need arrive roughly once a minute [4]. Over any given minute that is 180M gas for ordinary transactions against 30M for everything expensive, so the lane builders actually care about is about 14% of throughput and clears in one-minute steps [7]. Kinetiq's claim is that this is what has throttled DeFi expansion around HyperCore [3]. Hyperliquid, for its part, has said the conservative design will improve over time [5], which means an L2 sold on the base layer's present tradeoffs is competing with the base layer's own schedule for fixing them.
Elysium runs on the OP Stack and uses HYPE for gas [8]. The spot half of the pitch is the more concrete one: it is being designed around PropAMMs, the professional market maker AMMs that became meaningful liquidity sources on Solana, with richer access to HyperCore orderbook data [12], and around a pipeline in which a token launches on an Elysium AMM, graduates into PropAMM liquidity, bootstraps a HyperCore spot book, then eventually secures a HIP-3 perp [13]. Kinetiq also points to spot volumes and HIP-2 liquidity sitting near multi-month lows [23]. Co-founder Omnia's framing explains why the base layer is not racing to fix that: perps are, in his word, categorically won, so a small team keeps its attention on HyperCore [21].
Read Kinetiq's own book and the launch looks less like ambition than arithmetic. Liquid-staked HYPE has gone from 10.42% to 4.42% of total staked HYPE [17], and Bankless reports kHYPE TVL down nearly 18% over the past month [18], while the token supply figure is off only about 5% since the end of May [c15b]. Those measure different quantities, dollars in one case and tokens in the other, so unless redemptions accelerated sharply in the last few weeks, most of that 18% is HYPE's price rather than holders leaving [25]. Worth noting that the same publisher's two accounts of the peak-to-May decline do not quite agree: 62% in one, 65% in what the supply figures imply in the other [20].
That is the context for the sequencer split [10]. It converts Hyperliquid throughput into KNTQ demand directly, which is a better revenue shape than a staking receipt whose usefulness depends on DeFi opportunities existing. But it is also a claim on volume that does not exist yet, priced off a chain that has not shipped, and the burn scales with nothing except how much activity Elysium can pull off a chain whose operators have already promised to make it faster.
Ranked by verification strength, evidence, and original report placement.
Elysium will be designed around PropAMMs, AMMs run by professional market makers that have become important liquidity sources on Solana, with richer access to HyperCore market and orderbook data.
Kinetiq, Hyperliquid's largest liquid staking provider, announced Elysium, the first-ever Hyperliquid L2.
Elysium targets Hyperliquid spot markets, whose weekly share versus Binance recently fell to a 15-month low.
HyperEVM uses a dual-block architecture: small blocks designed for transactions arrive every second with a 3M gas limit, while larger 30M-gas blocks for computationally intensive activity such as contract deployments arrive roughly once a minute.
Elysium will use HYPE as gas and be built on the OP Stack.
Elysium will settle to HyperEVM and sit tightly beside HyperCore.
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Announcement-stage, single-publisher, partly self-reported
Verifiable content is limited to architecture parameters and Kinetiq's own disclosures, all from one publisher's two articles. The core diagnosis is an unverified protocol thesis, the headline congestion datapoint is hedged as 'reportedly' with no data source, no technical specs or launch partners exist, and the publisher's own kHYPE decline figures are mutually inconsistent.
Nothing shipped; adjacent metrics contracting
Elysium is unlaunched with no users, fees or partners disclosed. The only real usage signals are contractionary (kHYPE supply roughly 67% below peak, TVL down nearly 18% in a month, liquid-staked share from 10.42% to 4.42%, small Launch adoption), with the one growth signal being several hundred daily Markets.xyz sign-ups on the front end rather than on the L2 thesis.
First-mover framing ahead of any shipped evidence
The 'first-ever Hyperliquid L2' framing, a 400x gas anecdote and a buy-and-burn fee split carry a strong upside narrative while the product has no specs, partners, launch or fee volume, and the sponsoring protocol's core business is contracting. The publisher's own analysis partially discounts the thesis by noting liquidity and order flow, not performance, are the harder problem, which keeps the gap short of extreme.
Issuer-aligned pitch with direct token accrual
The mechanism routes 50% of sequencer fees into open-market KNTQ purchases that are burned, plus 25% to the Kinetiq treasury, so the announcing party benefits directly from adoption of its own narrative. Both problem statement and remedy originate with Kinetiq, coverage is single-publisher with no Hyperliquid core-team response, and the diagnosis conveniently locates blame in HyperEVM's design rather than in demand.
Moderate on facts, low on the thesis
Confidence is reasonable that the announcement, architecture parameters, fee split and contraction figures are as reported, since two articles from the publisher agree on them. It is low on the causal claim and outcome, given single-publisher sourcing, protocol-supplied framing, a hedged congestion datapoint, an unreconciled 62%/65% inconsistency and mismatched windows for the TVL-versus-supply comparison.
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2 articles · August 25, 2026