ASXN vs Hyperdash

Name: ASXN vs Hyperdash OpenChainBench measurements
Creator: OpenChainBench
License: https://creativecommons.org/licenses/by/4.0/

Hyperdash leads on the only live benchmark. Hyperdash wins on Hyperliquid validator leaderboard (2.18% vs 2.13%).

Read methodology Last measured Sat, 22 Aug 2026 03:14:22 UTCWindow: rolling 24h1 shared benchmark

ASXN

Hyperdash

Advanced trading terminal for Hyperliquid offering real time analytics, portfolio tracking, and copytrading vaults.

Side by side measurements

Hyperliquid validator leaderboard: live net APR, uptime, commission

Blockchains

ASXN

Trails

2.13 %

p99: 2.13%
rank: #24
samples: 704,487,000

Hyperdash

Leads

2.18 %

p99: 2.18%
rank: #16
samples: 783,278,000

net_yield = predictedApr.day x uptimeFraction from /info validatorSummaries. No MEV layer at the validator level on Hyperliquid; the centralised sequencer captures order-flow value upstream. Jailed validators land at 0 bps regardless of published APR. APRs cluster at 200 to 225 bps across the active set; commission rate is the primary differentiator for delegators.

Frequently asked questions

ASXN vs Hyperdash: which one is better?

ASXN and Hyperdash are compared on 1 shared OpenChainBench benchmarks. Hyperdash leads on Hyperliquid validator leaderboard. See the live table on this page for every metric.

Which is cheaper, ASXN or Hyperdash?

On the Hyperliquid validator leaderboard benchmark, Hyperdash leads at 2.18% versus ASXN at 2.13%. Live measurement is updated continuously by the OpenChainBench harness.

How is the ASXN vs Hyperdash comparison measured?

Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.

How this pair was selected

Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.